diff --git a/samples/timm/dla102.in1k/graph_hash.txt b/samples/timm/dla102.in1k/graph_hash.txt
new file mode 100644
index 000000000..a94fe6bb0
--- /dev/null
+++ b/samples/timm/dla102.in1k/graph_hash.txt
@@ -0,0 +1 @@
+3f4c054b1306534bdfe55f03ccc20c956606d1cc8baf40d1570be97d98f7f3ea
\ No newline at end of file
diff --git a/samples/timm/dla102.in1k/graph_net.json b/samples/timm/dla102.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dla102.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dla102.in1k/input_meta.py b/samples/timm/dla102.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla102.in1k/input_tensor_constraints.py b/samples/timm/dla102.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla102.in1k/model.py b/samples/timm/dla102.in1k/model.py
new file mode 100644
index 000000000..e36c0f768
--- /dev/null
+++ b/samples/timm/dla102.in1k/model.py
@@ -0,0 +1,4046 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_base_layer_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_base_layer_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_base_layer_modules_0_parameters_weight_ = (
+            L_self_modules_base_layer_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_base_layer_modules_1_buffers_running_mean_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_mean_
+        )
+        l_self_modules_base_layer_modules_1_buffers_running_var_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_var_
+        )
+        l_self_modules_base_layer_modules_1_parameters_weight_ = (
+            L_self_modules_base_layer_modules_1_parameters_weight_
+        )
+        l_self_modules_base_layer_modules_1_parameters_bias_ = (
+            L_self_modules_base_layer_modules_1_parameters_bias_
+        )
+        l_self_modules_level0_modules_0_parameters_weight_ = (
+            L_self_modules_level0_modules_0_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_buffers_running_mean_ = (
+            L_self_modules_level0_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level0_modules_1_buffers_running_var_ = (
+            L_self_modules_level0_modules_1_buffers_running_var_
+        )
+        l_self_modules_level0_modules_1_parameters_weight_ = (
+            L_self_modules_level0_modules_1_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_parameters_bias_ = (
+            L_self_modules_level0_modules_1_parameters_bias_
+        )
+        l_self_modules_level1_modules_0_parameters_weight_ = (
+            L_self_modules_level1_modules_0_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_buffers_running_mean_ = (
+            L_self_modules_level1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level1_modules_1_buffers_running_var_ = (
+            L_self_modules_level1_modules_1_buffers_running_var_
+        )
+        l_self_modules_level1_modules_1_parameters_weight_ = (
+            L_self_modules_level1_modules_1_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_parameters_bias_ = (
+            L_self_modules_level1_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_base_layer_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_base_layer_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_base_layer_modules_1_buffers_running_mean_,
+            l_self_modules_base_layer_modules_1_buffers_running_var_,
+            l_self_modules_base_layer_modules_1_parameters_weight_,
+            l_self_modules_base_layer_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_base_layer_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_base_layer_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_base_layer_modules_1_parameters_weight_
+        ) = l_self_modules_base_layer_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_level0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_level0_modules_0_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_level0_modules_1_buffers_running_mean_,
+            l_self_modules_level0_modules_1_buffers_running_var_,
+            l_self_modules_level0_modules_1_parameters_weight_,
+            l_self_modules_level0_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_level0_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level0_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level0_modules_1_parameters_weight_
+        ) = l_self_modules_level0_modules_1_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_level1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_level1_modules_0_parameters_weight_ = None
+        input_8 = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_level1_modules_1_buffers_running_mean_,
+            l_self_modules_level1_modules_1_buffers_running_var_,
+            l_self_modules_level1_modules_1_parameters_weight_,
+            l_self_modules_level1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_level1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level1_modules_1_parameters_weight_
+        ) = l_self_modules_level1_modules_1_parameters_bias_ = None
+        input_9 = torch.nn.functional.relu(input_8, inplace=True)
+        input_8 = None
+        bottom = torch.nn.functional.max_pool2d(
+            input_9, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_10 = torch.conv2d(
+            bottom,
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom = (
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_
+        ) = None
+        input_11 = torch.nn.functional.batch_norm(
+            input_10,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level2_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_10 = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level2_modules_project_modules_1_parameters_bias_ = None
+        out = torch.conv2d(
+            input_9,
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = (
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_1 = torch.nn.functional.batch_norm(
+            out,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_2 = torch.nn.functional.relu(out_1, inplace=True)
+        out_1 = None
+        out_3 = torch.conv2d(
+            out_2,
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_2 = (
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_4 = torch.nn.functional.batch_norm(
+            out_3,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_3 = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_5 = torch.nn.functional.relu(out_4, inplace=True)
+        out_4 = None
+        out_6 = torch.conv2d(
+            out_5,
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_5 = (
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_7 = torch.nn.functional.batch_norm(
+            out_6,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_6 = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_7 += input_11
+        out_8 = out_7
+        out_7 = input_11 = None
+        out_9 = torch.nn.functional.relu(out_8, inplace=True)
+        out_8 = None
+        out_10 = torch.conv2d(
+            out_9,
+            l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_11 = torch.nn.functional.batch_norm(
+            out_10,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_10 = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_12 = torch.nn.functional.relu(out_11, inplace=True)
+        out_11 = None
+        out_13 = torch.conv2d(
+            out_12,
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_12 = (
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_14 = torch.nn.functional.batch_norm(
+            out_13,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_13 = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_15 = torch.nn.functional.relu(out_14, inplace=True)
+        out_14 = None
+        out_16 = torch.conv2d(
+            out_15,
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_15 = (
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_17 = torch.nn.functional.batch_norm(
+            out_16,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_16 = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_17 += out_9
+        out_18 = out_17
+        out_17 = None
+        out_19 = torch.nn.functional.relu(out_18, inplace=True)
+        out_18 = None
+        cat = torch.cat([out_19, out_9], 1)
+        out_9 = None
+        x = torch.conv2d(
+            cat,
+            l_self_modules_level2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat = l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = None
+        x_1 += out_19
+        x_2 = x_1
+        x_1 = out_19 = None
+        x_3 = torch.nn.functional.relu(x_2, inplace=True)
+        x_2 = None
+        bottom_1 = torch.nn.functional.max_pool2d(
+            x_3, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_2 = torch.nn.functional.max_pool2d(
+            x_3, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_2 = None
+        bottom_3 = torch.nn.functional.max_pool2d(
+            x_3, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_12 = torch.conv2d(
+            bottom_3,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_3 = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_13 = torch.nn.functional.batch_norm(
+            input_12,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_12 = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_20 = torch.conv2d(
+            x_3,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_3 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_21 = torch.nn.functional.batch_norm(
+            out_20,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_20 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_22 = torch.nn.functional.relu(out_21, inplace=True)
+        out_21 = None
+        out_23 = torch.conv2d(
+            out_22,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_22 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_24 = torch.nn.functional.batch_norm(
+            out_23,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_23 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_25 = torch.nn.functional.relu(out_24, inplace=True)
+        out_24 = None
+        out_26 = torch.conv2d(
+            out_25,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_25 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_27 = torch.nn.functional.batch_norm(
+            out_26,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_26 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_27 += input_13
+        out_28 = out_27
+        out_27 = input_13 = None
+        out_29 = torch.nn.functional.relu(out_28, inplace=True)
+        out_28 = None
+        out_30 = torch.conv2d(
+            out_29,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_31 = torch.nn.functional.batch_norm(
+            out_30,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_30 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_32 = torch.nn.functional.relu(out_31, inplace=True)
+        out_31 = None
+        out_33 = torch.conv2d(
+            out_32,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_32 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_34 = torch.nn.functional.batch_norm(
+            out_33,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_33 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_35 = torch.nn.functional.relu(out_34, inplace=True)
+        out_34 = None
+        out_36 = torch.conv2d(
+            out_35,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_35 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_37 = torch.nn.functional.batch_norm(
+            out_36,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_36 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_37 += out_29
+        out_38 = out_37
+        out_37 = None
+        out_39 = torch.nn.functional.relu(out_38, inplace=True)
+        out_38 = None
+        cat_1 = torch.cat([out_39, out_29], 1)
+        out_29 = None
+        x_4 = torch.conv2d(
+            cat_1,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_1 = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_5 = torch.nn.functional.batch_norm(
+            x_4,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_4 = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_5 += out_39
+        x_6 = x_5
+        x_5 = out_39 = None
+        x_7 = torch.nn.functional.relu(x_6, inplace=True)
+        x_6 = None
+        out_40 = torch.conv2d(
+            x_7,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_41 = torch.nn.functional.batch_norm(
+            out_40,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_40 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_42 = torch.nn.functional.relu(out_41, inplace=True)
+        out_41 = None
+        out_43 = torch.conv2d(
+            out_42,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_42 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_44 = torch.nn.functional.batch_norm(
+            out_43,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_43 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_45 = torch.nn.functional.relu(out_44, inplace=True)
+        out_44 = None
+        out_46 = torch.conv2d(
+            out_45,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_45 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_47 = torch.nn.functional.batch_norm(
+            out_46,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_46 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_47 += x_7
+        out_48 = out_47
+        out_47 = None
+        out_49 = torch.nn.functional.relu(out_48, inplace=True)
+        out_48 = None
+        out_50 = torch.conv2d(
+            out_49,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_51 = torch.nn.functional.batch_norm(
+            out_50,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_50 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_52 = torch.nn.functional.relu(out_51, inplace=True)
+        out_51 = None
+        out_53 = torch.conv2d(
+            out_52,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_52 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_54 = torch.nn.functional.batch_norm(
+            out_53,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_53 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_55 = torch.nn.functional.relu(out_54, inplace=True)
+        out_54 = None
+        out_56 = torch.conv2d(
+            out_55,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_55 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_57 = torch.nn.functional.batch_norm(
+            out_56,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_56 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_57 += out_49
+        out_58 = out_57
+        out_57 = None
+        out_59 = torch.nn.functional.relu(out_58, inplace=True)
+        out_58 = None
+        cat_2 = torch.cat([out_59, out_49, x_7], 1)
+        out_49 = x_7 = None
+        x_8 = torch.conv2d(
+            cat_2,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_2 = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_9 += out_59
+        x_10 = x_9
+        x_9 = out_59 = None
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        out_60 = torch.conv2d(
+            x_11,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_61 = torch.nn.functional.batch_norm(
+            out_60,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_60 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_62 = torch.nn.functional.relu(out_61, inplace=True)
+        out_61 = None
+        out_63 = torch.conv2d(
+            out_62,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_62 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_64 = torch.nn.functional.batch_norm(
+            out_63,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_63 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_65 = torch.nn.functional.relu(out_64, inplace=True)
+        out_64 = None
+        out_66 = torch.conv2d(
+            out_65,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_65 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_67 = torch.nn.functional.batch_norm(
+            out_66,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_66 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_67 += x_11
+        out_68 = out_67
+        out_67 = None
+        out_69 = torch.nn.functional.relu(out_68, inplace=True)
+        out_68 = None
+        out_70 = torch.conv2d(
+            out_69,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_71 = torch.nn.functional.batch_norm(
+            out_70,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_70 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_72 = torch.nn.functional.relu(out_71, inplace=True)
+        out_71 = None
+        out_73 = torch.conv2d(
+            out_72,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_72 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_74 = torch.nn.functional.batch_norm(
+            out_73,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_73 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_75 = torch.nn.functional.relu(out_74, inplace=True)
+        out_74 = None
+        out_76 = torch.conv2d(
+            out_75,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_75 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_77 = torch.nn.functional.batch_norm(
+            out_76,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_76 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_77 += out_69
+        out_78 = out_77
+        out_77 = None
+        out_79 = torch.nn.functional.relu(out_78, inplace=True)
+        out_78 = None
+        cat_3 = torch.cat([out_79, out_69], 1)
+        out_69 = None
+        x_12 = torch.conv2d(
+            cat_3,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_3 = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_13 += out_79
+        x_14 = x_13
+        x_13 = out_79 = None
+        x_15 = torch.nn.functional.relu(x_14, inplace=True)
+        x_14 = None
+        out_80 = torch.conv2d(
+            x_15,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_81 = torch.nn.functional.batch_norm(
+            out_80,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_80 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_82 = torch.nn.functional.relu(out_81, inplace=True)
+        out_81 = None
+        out_83 = torch.conv2d(
+            out_82,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_82 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_84 = torch.nn.functional.batch_norm(
+            out_83,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_83 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_85 = torch.nn.functional.relu(out_84, inplace=True)
+        out_84 = None
+        out_86 = torch.conv2d(
+            out_85,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_85 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_87 = torch.nn.functional.batch_norm(
+            out_86,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_86 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_87 += x_15
+        out_88 = out_87
+        out_87 = None
+        out_89 = torch.nn.functional.relu(out_88, inplace=True)
+        out_88 = None
+        out_90 = torch.conv2d(
+            out_89,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_91 = torch.nn.functional.batch_norm(
+            out_90,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_90 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_92 = torch.nn.functional.relu(out_91, inplace=True)
+        out_91 = None
+        out_93 = torch.conv2d(
+            out_92,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_92 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_94 = torch.nn.functional.batch_norm(
+            out_93,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_93 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_95 = torch.nn.functional.relu(out_94, inplace=True)
+        out_94 = None
+        out_96 = torch.conv2d(
+            out_95,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_95 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_97 = torch.nn.functional.batch_norm(
+            out_96,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_96 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_97 += out_89
+        out_98 = out_97
+        out_97 = None
+        out_99 = torch.nn.functional.relu(out_98, inplace=True)
+        out_98 = None
+        cat_4 = torch.cat([out_99, out_89, bottom_1, x_11, x_15], 1)
+        out_89 = bottom_1 = x_11 = x_15 = None
+        x_16 = torch.conv2d(
+            cat_4,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_4 = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_17 += out_99
+        x_18 = x_17
+        x_17 = out_99 = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        bottom_4 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_5 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_5 = None
+        bottom_6 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_6 = None
+        bottom_7 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_14 = torch.conv2d(
+            bottom_7,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_7 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_100 = torch.conv2d(
+            x_19,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_101 = torch.nn.functional.batch_norm(
+            out_100,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_100 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_102 = torch.nn.functional.relu(out_101, inplace=True)
+        out_101 = None
+        out_103 = torch.conv2d(
+            out_102,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_102 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_104 = torch.nn.functional.batch_norm(
+            out_103,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_103 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_105 = torch.nn.functional.relu(out_104, inplace=True)
+        out_104 = None
+        out_106 = torch.conv2d(
+            out_105,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_105 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_107 = torch.nn.functional.batch_norm(
+            out_106,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_106 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_107 += input_15
+        out_108 = out_107
+        out_107 = input_15 = None
+        out_109 = torch.nn.functional.relu(out_108, inplace=True)
+        out_108 = None
+        out_110 = torch.conv2d(
+            out_109,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_111 = torch.nn.functional.batch_norm(
+            out_110,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_110 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_112 = torch.nn.functional.relu(out_111, inplace=True)
+        out_111 = None
+        out_113 = torch.conv2d(
+            out_112,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_112 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_114 = torch.nn.functional.batch_norm(
+            out_113,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_113 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_115 = torch.nn.functional.relu(out_114, inplace=True)
+        out_114 = None
+        out_116 = torch.conv2d(
+            out_115,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_115 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_117 = torch.nn.functional.batch_norm(
+            out_116,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_116 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_117 += out_109
+        out_118 = out_117
+        out_117 = None
+        out_119 = torch.nn.functional.relu(out_118, inplace=True)
+        out_118 = None
+        cat_5 = torch.cat([out_119, out_109], 1)
+        out_109 = None
+        x_20 = torch.conv2d(
+            cat_5,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_5 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_21 += out_119
+        x_22 = x_21
+        x_21 = out_119 = None
+        x_23 = torch.nn.functional.relu(x_22, inplace=True)
+        x_22 = None
+        out_120 = torch.conv2d(
+            x_23,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_121 = torch.nn.functional.batch_norm(
+            out_120,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_120 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_122 = torch.nn.functional.relu(out_121, inplace=True)
+        out_121 = None
+        out_123 = torch.conv2d(
+            out_122,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_122 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_124 = torch.nn.functional.batch_norm(
+            out_123,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_123 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_125 = torch.nn.functional.relu(out_124, inplace=True)
+        out_124 = None
+        out_126 = torch.conv2d(
+            out_125,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_125 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_127 = torch.nn.functional.batch_norm(
+            out_126,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_126 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_127 += x_23
+        out_128 = out_127
+        out_127 = None
+        out_129 = torch.nn.functional.relu(out_128, inplace=True)
+        out_128 = None
+        out_130 = torch.conv2d(
+            out_129,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_131 = torch.nn.functional.batch_norm(
+            out_130,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_130 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_132 = torch.nn.functional.relu(out_131, inplace=True)
+        out_131 = None
+        out_133 = torch.conv2d(
+            out_132,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_132 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_134 = torch.nn.functional.batch_norm(
+            out_133,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_133 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_135 = torch.nn.functional.relu(out_134, inplace=True)
+        out_134 = None
+        out_136 = torch.conv2d(
+            out_135,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_135 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_137 = torch.nn.functional.batch_norm(
+            out_136,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_136 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_137 += out_129
+        out_138 = out_137
+        out_137 = None
+        out_139 = torch.nn.functional.relu(out_138, inplace=True)
+        out_138 = None
+        cat_6 = torch.cat([out_139, out_129, x_23], 1)
+        out_129 = x_23 = None
+        x_24 = torch.conv2d(
+            cat_6,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_6 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_25 += out_139
+        x_26 = x_25
+        x_25 = out_139 = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        out_140 = torch.conv2d(
+            x_27,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_141 = torch.nn.functional.batch_norm(
+            out_140,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_140 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_142 = torch.nn.functional.relu(out_141, inplace=True)
+        out_141 = None
+        out_143 = torch.conv2d(
+            out_142,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_142 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_144 = torch.nn.functional.batch_norm(
+            out_143,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_143 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_145 = torch.nn.functional.relu(out_144, inplace=True)
+        out_144 = None
+        out_146 = torch.conv2d(
+            out_145,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_145 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_147 = torch.nn.functional.batch_norm(
+            out_146,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_146 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_147 += x_27
+        out_148 = out_147
+        out_147 = None
+        out_149 = torch.nn.functional.relu(out_148, inplace=True)
+        out_148 = None
+        out_150 = torch.conv2d(
+            out_149,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_151 = torch.nn.functional.batch_norm(
+            out_150,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_150 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_152 = torch.nn.functional.relu(out_151, inplace=True)
+        out_151 = None
+        out_153 = torch.conv2d(
+            out_152,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_152 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_154 = torch.nn.functional.batch_norm(
+            out_153,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_153 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_155 = torch.nn.functional.relu(out_154, inplace=True)
+        out_154 = None
+        out_156 = torch.conv2d(
+            out_155,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_155 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_157 = torch.nn.functional.batch_norm(
+            out_156,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_156 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_157 += out_149
+        out_158 = out_157
+        out_157 = None
+        out_159 = torch.nn.functional.relu(out_158, inplace=True)
+        out_158 = None
+        cat_7 = torch.cat([out_159, out_149], 1)
+        out_149 = None
+        x_28 = torch.conv2d(
+            cat_7,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_7 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_29 += out_159
+        x_30 = x_29
+        x_29 = out_159 = None
+        x_31 = torch.nn.functional.relu(x_30, inplace=True)
+        x_30 = None
+        out_160 = torch.conv2d(
+            x_31,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_161 = torch.nn.functional.batch_norm(
+            out_160,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_160 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_162 = torch.nn.functional.relu(out_161, inplace=True)
+        out_161 = None
+        out_163 = torch.conv2d(
+            out_162,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_162 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_164 = torch.nn.functional.batch_norm(
+            out_163,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_163 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_165 = torch.nn.functional.relu(out_164, inplace=True)
+        out_164 = None
+        out_166 = torch.conv2d(
+            out_165,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_165 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_167 = torch.nn.functional.batch_norm(
+            out_166,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_166 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_167 += x_31
+        out_168 = out_167
+        out_167 = None
+        out_169 = torch.nn.functional.relu(out_168, inplace=True)
+        out_168 = None
+        out_170 = torch.conv2d(
+            out_169,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_171 = torch.nn.functional.batch_norm(
+            out_170,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_170 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_172 = torch.nn.functional.relu(out_171, inplace=True)
+        out_171 = None
+        out_173 = torch.conv2d(
+            out_172,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_172 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_174 = torch.nn.functional.batch_norm(
+            out_173,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_173 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_175 = torch.nn.functional.relu(out_174, inplace=True)
+        out_174 = None
+        out_176 = torch.conv2d(
+            out_175,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_175 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_177 = torch.nn.functional.batch_norm(
+            out_176,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_176 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_177 += out_169
+        out_178 = out_177
+        out_177 = None
+        out_179 = torch.nn.functional.relu(out_178, inplace=True)
+        out_178 = None
+        cat_8 = torch.cat([out_179, out_169, x_27, x_31], 1)
+        out_169 = x_27 = x_31 = None
+        x_32 = torch.conv2d(
+            cat_8,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_8 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_33 += out_179
+        x_34 = x_33
+        x_33 = out_179 = None
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        out_180 = torch.conv2d(
+            x_35,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_181 = torch.nn.functional.batch_norm(
+            out_180,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_180 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_182 = torch.nn.functional.relu(out_181, inplace=True)
+        out_181 = None
+        out_183 = torch.conv2d(
+            out_182,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_182 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_184 = torch.nn.functional.batch_norm(
+            out_183,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_183 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_185 = torch.nn.functional.relu(out_184, inplace=True)
+        out_184 = None
+        out_186 = torch.conv2d(
+            out_185,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_185 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_187 = torch.nn.functional.batch_norm(
+            out_186,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_186 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_187 += x_35
+        out_188 = out_187
+        out_187 = None
+        out_189 = torch.nn.functional.relu(out_188, inplace=True)
+        out_188 = None
+        out_190 = torch.conv2d(
+            out_189,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_191 = torch.nn.functional.batch_norm(
+            out_190,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_190 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_192 = torch.nn.functional.relu(out_191, inplace=True)
+        out_191 = None
+        out_193 = torch.conv2d(
+            out_192,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_192 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_194 = torch.nn.functional.batch_norm(
+            out_193,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_193 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_195 = torch.nn.functional.relu(out_194, inplace=True)
+        out_194 = None
+        out_196 = torch.conv2d(
+            out_195,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_195 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_197 = torch.nn.functional.batch_norm(
+            out_196,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_196 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_197 += out_189
+        out_198 = out_197
+        out_197 = None
+        out_199 = torch.nn.functional.relu(out_198, inplace=True)
+        out_198 = None
+        cat_9 = torch.cat([out_199, out_189], 1)
+        out_189 = None
+        x_36 = torch.conv2d(
+            cat_9,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_9 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_37 += out_199
+        x_38 = x_37
+        x_37 = out_199 = None
+        x_39 = torch.nn.functional.relu(x_38, inplace=True)
+        x_38 = None
+        out_200 = torch.conv2d(
+            x_39,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_201 = torch.nn.functional.batch_norm(
+            out_200,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_200 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_202 = torch.nn.functional.relu(out_201, inplace=True)
+        out_201 = None
+        out_203 = torch.conv2d(
+            out_202,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_202 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_204 = torch.nn.functional.batch_norm(
+            out_203,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_203 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_205 = torch.nn.functional.relu(out_204, inplace=True)
+        out_204 = None
+        out_206 = torch.conv2d(
+            out_205,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_205 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_207 = torch.nn.functional.batch_norm(
+            out_206,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_206 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_207 += x_39
+        out_208 = out_207
+        out_207 = None
+        out_209 = torch.nn.functional.relu(out_208, inplace=True)
+        out_208 = None
+        out_210 = torch.conv2d(
+            out_209,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_211 = torch.nn.functional.batch_norm(
+            out_210,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_210 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_212 = torch.nn.functional.relu(out_211, inplace=True)
+        out_211 = None
+        out_213 = torch.conv2d(
+            out_212,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_212 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_214 = torch.nn.functional.batch_norm(
+            out_213,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_213 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_215 = torch.nn.functional.relu(out_214, inplace=True)
+        out_214 = None
+        out_216 = torch.conv2d(
+            out_215,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_215 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_217 = torch.nn.functional.batch_norm(
+            out_216,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_216 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_217 += out_209
+        out_218 = out_217
+        out_217 = None
+        out_219 = torch.nn.functional.relu(out_218, inplace=True)
+        out_218 = None
+        cat_10 = torch.cat([out_219, out_209, x_39], 1)
+        out_209 = x_39 = None
+        x_40 = torch.conv2d(
+            cat_10,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_10 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_41 += out_219
+        x_42 = x_41
+        x_41 = out_219 = None
+        x_43 = torch.nn.functional.relu(x_42, inplace=True)
+        x_42 = None
+        out_220 = torch.conv2d(
+            x_43,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_221 = torch.nn.functional.batch_norm(
+            out_220,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_220 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_222 = torch.nn.functional.relu(out_221, inplace=True)
+        out_221 = None
+        out_223 = torch.conv2d(
+            out_222,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_222 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_224 = torch.nn.functional.batch_norm(
+            out_223,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_223 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_225 = torch.nn.functional.relu(out_224, inplace=True)
+        out_224 = None
+        out_226 = torch.conv2d(
+            out_225,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_225 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_227 = torch.nn.functional.batch_norm(
+            out_226,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_226 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_227 += x_43
+        out_228 = out_227
+        out_227 = None
+        out_229 = torch.nn.functional.relu(out_228, inplace=True)
+        out_228 = None
+        out_230 = torch.conv2d(
+            out_229,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_231 = torch.nn.functional.batch_norm(
+            out_230,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_230 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_232 = torch.nn.functional.relu(out_231, inplace=True)
+        out_231 = None
+        out_233 = torch.conv2d(
+            out_232,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_232 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_234 = torch.nn.functional.batch_norm(
+            out_233,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_233 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_235 = torch.nn.functional.relu(out_234, inplace=True)
+        out_234 = None
+        out_236 = torch.conv2d(
+            out_235,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_235 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_237 = torch.nn.functional.batch_norm(
+            out_236,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_236 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_237 += out_229
+        out_238 = out_237
+        out_237 = None
+        out_239 = torch.nn.functional.relu(out_238, inplace=True)
+        out_238 = None
+        cat_11 = torch.cat([out_239, out_229], 1)
+        out_229 = None
+        x_44 = torch.conv2d(
+            cat_11,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_11 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_45 += out_239
+        x_46 = x_45
+        x_45 = out_239 = None
+        x_47 = torch.nn.functional.relu(x_46, inplace=True)
+        x_46 = None
+        out_240 = torch.conv2d(
+            x_47,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_241 = torch.nn.functional.batch_norm(
+            out_240,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_240 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_242 = torch.nn.functional.relu(out_241, inplace=True)
+        out_241 = None
+        out_243 = torch.conv2d(
+            out_242,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_242 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_244 = torch.nn.functional.batch_norm(
+            out_243,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_243 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_245 = torch.nn.functional.relu(out_244, inplace=True)
+        out_244 = None
+        out_246 = torch.conv2d(
+            out_245,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_245 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_247 = torch.nn.functional.batch_norm(
+            out_246,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_246 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_247 += x_47
+        out_248 = out_247
+        out_247 = None
+        out_249 = torch.nn.functional.relu(out_248, inplace=True)
+        out_248 = None
+        out_250 = torch.conv2d(
+            out_249,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_251 = torch.nn.functional.batch_norm(
+            out_250,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_250 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_252 = torch.nn.functional.relu(out_251, inplace=True)
+        out_251 = None
+        out_253 = torch.conv2d(
+            out_252,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_252 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_254 = torch.nn.functional.batch_norm(
+            out_253,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_253 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_255 = torch.nn.functional.relu(out_254, inplace=True)
+        out_254 = None
+        out_256 = torch.conv2d(
+            out_255,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_255 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_257 = torch.nn.functional.batch_norm(
+            out_256,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_256 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_257 += out_249
+        out_258 = out_257
+        out_257 = None
+        out_259 = torch.nn.functional.relu(out_258, inplace=True)
+        out_258 = None
+        cat_12 = torch.cat([out_259, out_249, bottom_4, x_35, x_43, x_47], 1)
+        out_249 = bottom_4 = x_35 = x_43 = x_47 = None
+        x_48 = torch.conv2d(
+            cat_12,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_12 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_49 += out_259
+        x_50 = x_49
+        x_49 = out_259 = None
+        x_51 = torch.nn.functional.relu(x_50, inplace=True)
+        x_50 = None
+        bottom_8 = torch.nn.functional.max_pool2d(
+            x_51, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_16 = torch.conv2d(
+            bottom_8,
+            l_self_modules_level5_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = None
+        input_17 = torch.nn.functional.batch_norm(
+            input_16,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level5_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_16 = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level5_modules_project_modules_1_parameters_bias_ = None
+        out_260 = torch.conv2d(
+            x_51,
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = (
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_261 = torch.nn.functional.batch_norm(
+            out_260,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_260 = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_262 = torch.nn.functional.relu(out_261, inplace=True)
+        out_261 = None
+        out_263 = torch.conv2d(
+            out_262,
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_262 = (
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_264 = torch.nn.functional.batch_norm(
+            out_263,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_263 = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_265 = torch.nn.functional.relu(out_264, inplace=True)
+        out_264 = None
+        out_266 = torch.conv2d(
+            out_265,
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_265 = (
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_267 = torch.nn.functional.batch_norm(
+            out_266,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_266 = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_267 += input_17
+        out_268 = out_267
+        out_267 = input_17 = None
+        out_269 = torch.nn.functional.relu(out_268, inplace=True)
+        out_268 = None
+        out_270 = torch.conv2d(
+            out_269,
+            l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_271 = torch.nn.functional.batch_norm(
+            out_270,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_270 = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_272 = torch.nn.functional.relu(out_271, inplace=True)
+        out_271 = None
+        out_273 = torch.conv2d(
+            out_272,
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_272 = (
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_274 = torch.nn.functional.batch_norm(
+            out_273,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_273 = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_275 = torch.nn.functional.relu(out_274, inplace=True)
+        out_274 = None
+        out_276 = torch.conv2d(
+            out_275,
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_275 = (
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_277 = torch.nn.functional.batch_norm(
+            out_276,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_276 = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_277 += out_269
+        out_278 = out_277
+        out_277 = None
+        out_279 = torch.nn.functional.relu(out_278, inplace=True)
+        out_278 = None
+        cat_13 = torch.cat([out_279, out_269, bottom_8], 1)
+        out_269 = bottom_8 = None
+        x_52 = torch.conv2d(
+            cat_13,
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_13 = (
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        ) = None
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = None
+        x_53 += out_279
+        x_54 = x_53
+        x_53 = out_279 = None
+        x_55 = torch.nn.functional.relu(x_54, inplace=True)
+        x_54 = None
+        x_56 = torch.nn.functional.adaptive_avg_pool2d(x_55, 1)
+        x_55 = None
+        x_57 = torch.nn.functional.dropout(x_56, 0.0, False, False)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        x_59 = x_58.flatten(1, -1)
+        x_58 = None
+        return (x_59,)
diff --git a/samples/timm/dla102.in1k/weight_meta.py b/samples/timm/dla102.in1k/weight_meta.py
new file mode 100644
index 000000000..ffdd7c7b2
--- /dev/null
+++ b/samples/timm/dla102.in1k/weight_meta.py
@@ -0,0 +1,5288 @@
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_0_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_0_parameters_weight_"
+    shape = [16, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.233
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_mean_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_var_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_bias_:
+    name = "L_self_modules_base_layer_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_0_parameters_weight_:
+    name = "L_self_modules_level0_modules_0_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.119
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level0_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_var_:
+    name = "L_self_modules_level0_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_weight_:
+    name = "L_self_modules_level0_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_bias_:
+    name = "L_self_modules_level0_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_0_parameters_weight_:
+    name = "L_self_modules_level1_modules_0_parameters_weight_"
+    shape = [32, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_var_:
+    name = "L_self_modules_level1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_weight_:
+    name = "L_self_modules_level1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_bias_:
+    name = "L_self_modules_level1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_0_parameters_weight_"
+    shape = [128, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.173
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_conv_parameters_weight_"
+    shape = [1024, 2560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.018
+    data = None
diff --git a/samples/timm/dla102x.in1k/graph_hash.txt b/samples/timm/dla102x.in1k/graph_hash.txt
new file mode 100644
index 000000000..8592b2403
--- /dev/null
+++ b/samples/timm/dla102x.in1k/graph_hash.txt
@@ -0,0 +1 @@
+bbf461c3f6a3b7fa49119637f1dd7e3269cd97f0617a3562675634de60df2007
\ No newline at end of file
diff --git a/samples/timm/dla102x.in1k/graph_net.json b/samples/timm/dla102x.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dla102x.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dla102x.in1k/input_meta.py b/samples/timm/dla102x.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla102x.in1k/input_tensor_constraints.py b/samples/timm/dla102x.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla102x.in1k/model.py b/samples/timm/dla102x.in1k/model.py
new file mode 100644
index 000000000..573cc79dc
--- /dev/null
+++ b/samples/timm/dla102x.in1k/model.py
@@ -0,0 +1,4046 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_base_layer_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_base_layer_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
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+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_base_layer_modules_0_parameters_weight_ = (
+            L_self_modules_base_layer_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_base_layer_modules_1_buffers_running_mean_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_mean_
+        )
+        l_self_modules_base_layer_modules_1_buffers_running_var_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_var_
+        )
+        l_self_modules_base_layer_modules_1_parameters_weight_ = (
+            L_self_modules_base_layer_modules_1_parameters_weight_
+        )
+        l_self_modules_base_layer_modules_1_parameters_bias_ = (
+            L_self_modules_base_layer_modules_1_parameters_bias_
+        )
+        l_self_modules_level0_modules_0_parameters_weight_ = (
+            L_self_modules_level0_modules_0_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_buffers_running_mean_ = (
+            L_self_modules_level0_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level0_modules_1_buffers_running_var_ = (
+            L_self_modules_level0_modules_1_buffers_running_var_
+        )
+        l_self_modules_level0_modules_1_parameters_weight_ = (
+            L_self_modules_level0_modules_1_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_parameters_bias_ = (
+            L_self_modules_level0_modules_1_parameters_bias_
+        )
+        l_self_modules_level1_modules_0_parameters_weight_ = (
+            L_self_modules_level1_modules_0_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_buffers_running_mean_ = (
+            L_self_modules_level1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level1_modules_1_buffers_running_var_ = (
+            L_self_modules_level1_modules_1_buffers_running_var_
+        )
+        l_self_modules_level1_modules_1_parameters_weight_ = (
+            L_self_modules_level1_modules_1_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_parameters_bias_ = (
+            L_self_modules_level1_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_base_layer_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_base_layer_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_base_layer_modules_1_buffers_running_mean_,
+            l_self_modules_base_layer_modules_1_buffers_running_var_,
+            l_self_modules_base_layer_modules_1_parameters_weight_,
+            l_self_modules_base_layer_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_base_layer_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_base_layer_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_base_layer_modules_1_parameters_weight_
+        ) = l_self_modules_base_layer_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_level0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_level0_modules_0_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_level0_modules_1_buffers_running_mean_,
+            l_self_modules_level0_modules_1_buffers_running_var_,
+            l_self_modules_level0_modules_1_parameters_weight_,
+            l_self_modules_level0_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_level0_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level0_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level0_modules_1_parameters_weight_
+        ) = l_self_modules_level0_modules_1_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_level1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_level1_modules_0_parameters_weight_ = None
+        input_8 = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_level1_modules_1_buffers_running_mean_,
+            l_self_modules_level1_modules_1_buffers_running_var_,
+            l_self_modules_level1_modules_1_parameters_weight_,
+            l_self_modules_level1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_level1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level1_modules_1_parameters_weight_
+        ) = l_self_modules_level1_modules_1_parameters_bias_ = None
+        input_9 = torch.nn.functional.relu(input_8, inplace=True)
+        input_8 = None
+        bottom = torch.nn.functional.max_pool2d(
+            input_9, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_10 = torch.conv2d(
+            bottom,
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom = (
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_
+        ) = None
+        input_11 = torch.nn.functional.batch_norm(
+            input_10,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level2_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_10 = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level2_modules_project_modules_1_parameters_bias_ = None
+        out = torch.conv2d(
+            input_9,
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = (
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_1 = torch.nn.functional.batch_norm(
+            out,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_2 = torch.nn.functional.relu(out_1, inplace=True)
+        out_1 = None
+        out_3 = torch.conv2d(
+            out_2,
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_2 = (
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_4 = torch.nn.functional.batch_norm(
+            out_3,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_3 = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_5 = torch.nn.functional.relu(out_4, inplace=True)
+        out_4 = None
+        out_6 = torch.conv2d(
+            out_5,
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_5 = (
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_7 = torch.nn.functional.batch_norm(
+            out_6,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_6 = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_7 += input_11
+        out_8 = out_7
+        out_7 = input_11 = None
+        out_9 = torch.nn.functional.relu(out_8, inplace=True)
+        out_8 = None
+        out_10 = torch.conv2d(
+            out_9,
+            l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_11 = torch.nn.functional.batch_norm(
+            out_10,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_10 = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_12 = torch.nn.functional.relu(out_11, inplace=True)
+        out_11 = None
+        out_13 = torch.conv2d(
+            out_12,
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_12 = (
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_14 = torch.nn.functional.batch_norm(
+            out_13,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_13 = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_15 = torch.nn.functional.relu(out_14, inplace=True)
+        out_14 = None
+        out_16 = torch.conv2d(
+            out_15,
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_15 = (
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_17 = torch.nn.functional.batch_norm(
+            out_16,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_16 = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_17 += out_9
+        out_18 = out_17
+        out_17 = None
+        out_19 = torch.nn.functional.relu(out_18, inplace=True)
+        out_18 = None
+        cat = torch.cat([out_19, out_9], 1)
+        out_9 = None
+        x = torch.conv2d(
+            cat,
+            l_self_modules_level2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat = l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = None
+        x_1 += out_19
+        x_2 = x_1
+        x_1 = out_19 = None
+        x_3 = torch.nn.functional.relu(x_2, inplace=True)
+        x_2 = None
+        bottom_1 = torch.nn.functional.max_pool2d(
+            x_3, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_2 = torch.nn.functional.max_pool2d(
+            x_3, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_2 = None
+        bottom_3 = torch.nn.functional.max_pool2d(
+            x_3, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_12 = torch.conv2d(
+            bottom_3,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_3 = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_13 = torch.nn.functional.batch_norm(
+            input_12,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_12 = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_20 = torch.conv2d(
+            x_3,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_3 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_21 = torch.nn.functional.batch_norm(
+            out_20,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_20 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_22 = torch.nn.functional.relu(out_21, inplace=True)
+        out_21 = None
+        out_23 = torch.conv2d(
+            out_22,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_22 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_24 = torch.nn.functional.batch_norm(
+            out_23,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_23 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_25 = torch.nn.functional.relu(out_24, inplace=True)
+        out_24 = None
+        out_26 = torch.conv2d(
+            out_25,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_25 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_27 = torch.nn.functional.batch_norm(
+            out_26,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_26 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_27 += input_13
+        out_28 = out_27
+        out_27 = input_13 = None
+        out_29 = torch.nn.functional.relu(out_28, inplace=True)
+        out_28 = None
+        out_30 = torch.conv2d(
+            out_29,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_31 = torch.nn.functional.batch_norm(
+            out_30,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_30 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_32 = torch.nn.functional.relu(out_31, inplace=True)
+        out_31 = None
+        out_33 = torch.conv2d(
+            out_32,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_32 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_34 = torch.nn.functional.batch_norm(
+            out_33,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_33 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_35 = torch.nn.functional.relu(out_34, inplace=True)
+        out_34 = None
+        out_36 = torch.conv2d(
+            out_35,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_35 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_37 = torch.nn.functional.batch_norm(
+            out_36,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_36 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_37 += out_29
+        out_38 = out_37
+        out_37 = None
+        out_39 = torch.nn.functional.relu(out_38, inplace=True)
+        out_38 = None
+        cat_1 = torch.cat([out_39, out_29], 1)
+        out_29 = None
+        x_4 = torch.conv2d(
+            cat_1,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_1 = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_5 = torch.nn.functional.batch_norm(
+            x_4,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_4 = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_5 += out_39
+        x_6 = x_5
+        x_5 = out_39 = None
+        x_7 = torch.nn.functional.relu(x_6, inplace=True)
+        x_6 = None
+        out_40 = torch.conv2d(
+            x_7,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_41 = torch.nn.functional.batch_norm(
+            out_40,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_40 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_42 = torch.nn.functional.relu(out_41, inplace=True)
+        out_41 = None
+        out_43 = torch.conv2d(
+            out_42,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_42 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_44 = torch.nn.functional.batch_norm(
+            out_43,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_43 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_45 = torch.nn.functional.relu(out_44, inplace=True)
+        out_44 = None
+        out_46 = torch.conv2d(
+            out_45,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_45 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_47 = torch.nn.functional.batch_norm(
+            out_46,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_46 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_47 += x_7
+        out_48 = out_47
+        out_47 = None
+        out_49 = torch.nn.functional.relu(out_48, inplace=True)
+        out_48 = None
+        out_50 = torch.conv2d(
+            out_49,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_51 = torch.nn.functional.batch_norm(
+            out_50,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_50 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_52 = torch.nn.functional.relu(out_51, inplace=True)
+        out_51 = None
+        out_53 = torch.conv2d(
+            out_52,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_52 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_54 = torch.nn.functional.batch_norm(
+            out_53,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_53 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_55 = torch.nn.functional.relu(out_54, inplace=True)
+        out_54 = None
+        out_56 = torch.conv2d(
+            out_55,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_55 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_57 = torch.nn.functional.batch_norm(
+            out_56,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_56 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_57 += out_49
+        out_58 = out_57
+        out_57 = None
+        out_59 = torch.nn.functional.relu(out_58, inplace=True)
+        out_58 = None
+        cat_2 = torch.cat([out_59, out_49, x_7], 1)
+        out_49 = x_7 = None
+        x_8 = torch.conv2d(
+            cat_2,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_2 = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_9 += out_59
+        x_10 = x_9
+        x_9 = out_59 = None
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        out_60 = torch.conv2d(
+            x_11,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_61 = torch.nn.functional.batch_norm(
+            out_60,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_60 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_62 = torch.nn.functional.relu(out_61, inplace=True)
+        out_61 = None
+        out_63 = torch.conv2d(
+            out_62,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_62 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_64 = torch.nn.functional.batch_norm(
+            out_63,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_63 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_65 = torch.nn.functional.relu(out_64, inplace=True)
+        out_64 = None
+        out_66 = torch.conv2d(
+            out_65,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_65 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_67 = torch.nn.functional.batch_norm(
+            out_66,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_66 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_67 += x_11
+        out_68 = out_67
+        out_67 = None
+        out_69 = torch.nn.functional.relu(out_68, inplace=True)
+        out_68 = None
+        out_70 = torch.conv2d(
+            out_69,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_71 = torch.nn.functional.batch_norm(
+            out_70,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_70 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_72 = torch.nn.functional.relu(out_71, inplace=True)
+        out_71 = None
+        out_73 = torch.conv2d(
+            out_72,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_72 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_74 = torch.nn.functional.batch_norm(
+            out_73,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_73 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_75 = torch.nn.functional.relu(out_74, inplace=True)
+        out_74 = None
+        out_76 = torch.conv2d(
+            out_75,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_75 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_77 = torch.nn.functional.batch_norm(
+            out_76,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_76 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_77 += out_69
+        out_78 = out_77
+        out_77 = None
+        out_79 = torch.nn.functional.relu(out_78, inplace=True)
+        out_78 = None
+        cat_3 = torch.cat([out_79, out_69], 1)
+        out_69 = None
+        x_12 = torch.conv2d(
+            cat_3,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_3 = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_13 += out_79
+        x_14 = x_13
+        x_13 = out_79 = None
+        x_15 = torch.nn.functional.relu(x_14, inplace=True)
+        x_14 = None
+        out_80 = torch.conv2d(
+            x_15,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_81 = torch.nn.functional.batch_norm(
+            out_80,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_80 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_82 = torch.nn.functional.relu(out_81, inplace=True)
+        out_81 = None
+        out_83 = torch.conv2d(
+            out_82,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_82 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_84 = torch.nn.functional.batch_norm(
+            out_83,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_83 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_85 = torch.nn.functional.relu(out_84, inplace=True)
+        out_84 = None
+        out_86 = torch.conv2d(
+            out_85,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_85 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_87 = torch.nn.functional.batch_norm(
+            out_86,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_86 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_87 += x_15
+        out_88 = out_87
+        out_87 = None
+        out_89 = torch.nn.functional.relu(out_88, inplace=True)
+        out_88 = None
+        out_90 = torch.conv2d(
+            out_89,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_91 = torch.nn.functional.batch_norm(
+            out_90,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_90 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_92 = torch.nn.functional.relu(out_91, inplace=True)
+        out_91 = None
+        out_93 = torch.conv2d(
+            out_92,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_92 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_94 = torch.nn.functional.batch_norm(
+            out_93,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_93 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_95 = torch.nn.functional.relu(out_94, inplace=True)
+        out_94 = None
+        out_96 = torch.conv2d(
+            out_95,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_95 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_97 = torch.nn.functional.batch_norm(
+            out_96,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_96 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_97 += out_89
+        out_98 = out_97
+        out_97 = None
+        out_99 = torch.nn.functional.relu(out_98, inplace=True)
+        out_98 = None
+        cat_4 = torch.cat([out_99, out_89, bottom_1, x_11, x_15], 1)
+        out_89 = bottom_1 = x_11 = x_15 = None
+        x_16 = torch.conv2d(
+            cat_4,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_4 = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_17 += out_99
+        x_18 = x_17
+        x_17 = out_99 = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        bottom_4 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_5 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_5 = None
+        bottom_6 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_6 = None
+        bottom_7 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_14 = torch.conv2d(
+            bottom_7,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_7 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_100 = torch.conv2d(
+            x_19,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_101 = torch.nn.functional.batch_norm(
+            out_100,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_100 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_102 = torch.nn.functional.relu(out_101, inplace=True)
+        out_101 = None
+        out_103 = torch.conv2d(
+            out_102,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_102 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_104 = torch.nn.functional.batch_norm(
+            out_103,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_103 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_105 = torch.nn.functional.relu(out_104, inplace=True)
+        out_104 = None
+        out_106 = torch.conv2d(
+            out_105,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_105 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_107 = torch.nn.functional.batch_norm(
+            out_106,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_106 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_107 += input_15
+        out_108 = out_107
+        out_107 = input_15 = None
+        out_109 = torch.nn.functional.relu(out_108, inplace=True)
+        out_108 = None
+        out_110 = torch.conv2d(
+            out_109,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_111 = torch.nn.functional.batch_norm(
+            out_110,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_110 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_112 = torch.nn.functional.relu(out_111, inplace=True)
+        out_111 = None
+        out_113 = torch.conv2d(
+            out_112,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_112 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_114 = torch.nn.functional.batch_norm(
+            out_113,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_113 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_115 = torch.nn.functional.relu(out_114, inplace=True)
+        out_114 = None
+        out_116 = torch.conv2d(
+            out_115,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_115 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_117 = torch.nn.functional.batch_norm(
+            out_116,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_116 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_117 += out_109
+        out_118 = out_117
+        out_117 = None
+        out_119 = torch.nn.functional.relu(out_118, inplace=True)
+        out_118 = None
+        cat_5 = torch.cat([out_119, out_109], 1)
+        out_109 = None
+        x_20 = torch.conv2d(
+            cat_5,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_5 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_21 += out_119
+        x_22 = x_21
+        x_21 = out_119 = None
+        x_23 = torch.nn.functional.relu(x_22, inplace=True)
+        x_22 = None
+        out_120 = torch.conv2d(
+            x_23,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_121 = torch.nn.functional.batch_norm(
+            out_120,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_120 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_122 = torch.nn.functional.relu(out_121, inplace=True)
+        out_121 = None
+        out_123 = torch.conv2d(
+            out_122,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_122 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_124 = torch.nn.functional.batch_norm(
+            out_123,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_123 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_125 = torch.nn.functional.relu(out_124, inplace=True)
+        out_124 = None
+        out_126 = torch.conv2d(
+            out_125,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_125 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_127 = torch.nn.functional.batch_norm(
+            out_126,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_126 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_127 += x_23
+        out_128 = out_127
+        out_127 = None
+        out_129 = torch.nn.functional.relu(out_128, inplace=True)
+        out_128 = None
+        out_130 = torch.conv2d(
+            out_129,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_131 = torch.nn.functional.batch_norm(
+            out_130,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_130 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_132 = torch.nn.functional.relu(out_131, inplace=True)
+        out_131 = None
+        out_133 = torch.conv2d(
+            out_132,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_132 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_134 = torch.nn.functional.batch_norm(
+            out_133,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_133 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_135 = torch.nn.functional.relu(out_134, inplace=True)
+        out_134 = None
+        out_136 = torch.conv2d(
+            out_135,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_135 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_137 = torch.nn.functional.batch_norm(
+            out_136,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_136 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_137 += out_129
+        out_138 = out_137
+        out_137 = None
+        out_139 = torch.nn.functional.relu(out_138, inplace=True)
+        out_138 = None
+        cat_6 = torch.cat([out_139, out_129, x_23], 1)
+        out_129 = x_23 = None
+        x_24 = torch.conv2d(
+            cat_6,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_6 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_25 += out_139
+        x_26 = x_25
+        x_25 = out_139 = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        out_140 = torch.conv2d(
+            x_27,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_141 = torch.nn.functional.batch_norm(
+            out_140,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_140 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_142 = torch.nn.functional.relu(out_141, inplace=True)
+        out_141 = None
+        out_143 = torch.conv2d(
+            out_142,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_142 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_144 = torch.nn.functional.batch_norm(
+            out_143,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_143 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_145 = torch.nn.functional.relu(out_144, inplace=True)
+        out_144 = None
+        out_146 = torch.conv2d(
+            out_145,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_145 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_147 = torch.nn.functional.batch_norm(
+            out_146,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_146 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_147 += x_27
+        out_148 = out_147
+        out_147 = None
+        out_149 = torch.nn.functional.relu(out_148, inplace=True)
+        out_148 = None
+        out_150 = torch.conv2d(
+            out_149,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_151 = torch.nn.functional.batch_norm(
+            out_150,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_150 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_152 = torch.nn.functional.relu(out_151, inplace=True)
+        out_151 = None
+        out_153 = torch.conv2d(
+            out_152,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_152 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_154 = torch.nn.functional.batch_norm(
+            out_153,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_153 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_155 = torch.nn.functional.relu(out_154, inplace=True)
+        out_154 = None
+        out_156 = torch.conv2d(
+            out_155,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_155 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_157 = torch.nn.functional.batch_norm(
+            out_156,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_156 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_157 += out_149
+        out_158 = out_157
+        out_157 = None
+        out_159 = torch.nn.functional.relu(out_158, inplace=True)
+        out_158 = None
+        cat_7 = torch.cat([out_159, out_149], 1)
+        out_149 = None
+        x_28 = torch.conv2d(
+            cat_7,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_7 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_29 += out_159
+        x_30 = x_29
+        x_29 = out_159 = None
+        x_31 = torch.nn.functional.relu(x_30, inplace=True)
+        x_30 = None
+        out_160 = torch.conv2d(
+            x_31,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_161 = torch.nn.functional.batch_norm(
+            out_160,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_160 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_162 = torch.nn.functional.relu(out_161, inplace=True)
+        out_161 = None
+        out_163 = torch.conv2d(
+            out_162,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_162 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_164 = torch.nn.functional.batch_norm(
+            out_163,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_163 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_165 = torch.nn.functional.relu(out_164, inplace=True)
+        out_164 = None
+        out_166 = torch.conv2d(
+            out_165,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_165 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_167 = torch.nn.functional.batch_norm(
+            out_166,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_166 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_167 += x_31
+        out_168 = out_167
+        out_167 = None
+        out_169 = torch.nn.functional.relu(out_168, inplace=True)
+        out_168 = None
+        out_170 = torch.conv2d(
+            out_169,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_171 = torch.nn.functional.batch_norm(
+            out_170,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_170 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_172 = torch.nn.functional.relu(out_171, inplace=True)
+        out_171 = None
+        out_173 = torch.conv2d(
+            out_172,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_172 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_174 = torch.nn.functional.batch_norm(
+            out_173,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_173 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_175 = torch.nn.functional.relu(out_174, inplace=True)
+        out_174 = None
+        out_176 = torch.conv2d(
+            out_175,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_175 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_177 = torch.nn.functional.batch_norm(
+            out_176,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_176 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_177 += out_169
+        out_178 = out_177
+        out_177 = None
+        out_179 = torch.nn.functional.relu(out_178, inplace=True)
+        out_178 = None
+        cat_8 = torch.cat([out_179, out_169, x_27, x_31], 1)
+        out_169 = x_27 = x_31 = None
+        x_32 = torch.conv2d(
+            cat_8,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_8 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_33 += out_179
+        x_34 = x_33
+        x_33 = out_179 = None
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        out_180 = torch.conv2d(
+            x_35,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_181 = torch.nn.functional.batch_norm(
+            out_180,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_180 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_182 = torch.nn.functional.relu(out_181, inplace=True)
+        out_181 = None
+        out_183 = torch.conv2d(
+            out_182,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_182 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_184 = torch.nn.functional.batch_norm(
+            out_183,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_183 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_185 = torch.nn.functional.relu(out_184, inplace=True)
+        out_184 = None
+        out_186 = torch.conv2d(
+            out_185,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_185 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_187 = torch.nn.functional.batch_norm(
+            out_186,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_186 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_187 += x_35
+        out_188 = out_187
+        out_187 = None
+        out_189 = torch.nn.functional.relu(out_188, inplace=True)
+        out_188 = None
+        out_190 = torch.conv2d(
+            out_189,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_191 = torch.nn.functional.batch_norm(
+            out_190,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_190 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_192 = torch.nn.functional.relu(out_191, inplace=True)
+        out_191 = None
+        out_193 = torch.conv2d(
+            out_192,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_192 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_194 = torch.nn.functional.batch_norm(
+            out_193,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_193 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_195 = torch.nn.functional.relu(out_194, inplace=True)
+        out_194 = None
+        out_196 = torch.conv2d(
+            out_195,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_195 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_197 = torch.nn.functional.batch_norm(
+            out_196,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_196 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_197 += out_189
+        out_198 = out_197
+        out_197 = None
+        out_199 = torch.nn.functional.relu(out_198, inplace=True)
+        out_198 = None
+        cat_9 = torch.cat([out_199, out_189], 1)
+        out_189 = None
+        x_36 = torch.conv2d(
+            cat_9,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_9 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_37 += out_199
+        x_38 = x_37
+        x_37 = out_199 = None
+        x_39 = torch.nn.functional.relu(x_38, inplace=True)
+        x_38 = None
+        out_200 = torch.conv2d(
+            x_39,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_201 = torch.nn.functional.batch_norm(
+            out_200,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_200 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_202 = torch.nn.functional.relu(out_201, inplace=True)
+        out_201 = None
+        out_203 = torch.conv2d(
+            out_202,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_202 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_204 = torch.nn.functional.batch_norm(
+            out_203,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_203 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_205 = torch.nn.functional.relu(out_204, inplace=True)
+        out_204 = None
+        out_206 = torch.conv2d(
+            out_205,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_205 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_207 = torch.nn.functional.batch_norm(
+            out_206,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_206 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_207 += x_39
+        out_208 = out_207
+        out_207 = None
+        out_209 = torch.nn.functional.relu(out_208, inplace=True)
+        out_208 = None
+        out_210 = torch.conv2d(
+            out_209,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_211 = torch.nn.functional.batch_norm(
+            out_210,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_210 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_212 = torch.nn.functional.relu(out_211, inplace=True)
+        out_211 = None
+        out_213 = torch.conv2d(
+            out_212,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_212 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_214 = torch.nn.functional.batch_norm(
+            out_213,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_213 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_215 = torch.nn.functional.relu(out_214, inplace=True)
+        out_214 = None
+        out_216 = torch.conv2d(
+            out_215,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_215 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_217 = torch.nn.functional.batch_norm(
+            out_216,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_216 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_217 += out_209
+        out_218 = out_217
+        out_217 = None
+        out_219 = torch.nn.functional.relu(out_218, inplace=True)
+        out_218 = None
+        cat_10 = torch.cat([out_219, out_209, x_39], 1)
+        out_209 = x_39 = None
+        x_40 = torch.conv2d(
+            cat_10,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_10 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_41 += out_219
+        x_42 = x_41
+        x_41 = out_219 = None
+        x_43 = torch.nn.functional.relu(x_42, inplace=True)
+        x_42 = None
+        out_220 = torch.conv2d(
+            x_43,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_221 = torch.nn.functional.batch_norm(
+            out_220,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_220 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_222 = torch.nn.functional.relu(out_221, inplace=True)
+        out_221 = None
+        out_223 = torch.conv2d(
+            out_222,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_222 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_224 = torch.nn.functional.batch_norm(
+            out_223,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_223 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_225 = torch.nn.functional.relu(out_224, inplace=True)
+        out_224 = None
+        out_226 = torch.conv2d(
+            out_225,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_225 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_227 = torch.nn.functional.batch_norm(
+            out_226,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_226 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_227 += x_43
+        out_228 = out_227
+        out_227 = None
+        out_229 = torch.nn.functional.relu(out_228, inplace=True)
+        out_228 = None
+        out_230 = torch.conv2d(
+            out_229,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_231 = torch.nn.functional.batch_norm(
+            out_230,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_230 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_232 = torch.nn.functional.relu(out_231, inplace=True)
+        out_231 = None
+        out_233 = torch.conv2d(
+            out_232,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_232 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_234 = torch.nn.functional.batch_norm(
+            out_233,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_233 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_235 = torch.nn.functional.relu(out_234, inplace=True)
+        out_234 = None
+        out_236 = torch.conv2d(
+            out_235,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_235 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_237 = torch.nn.functional.batch_norm(
+            out_236,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_236 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_237 += out_229
+        out_238 = out_237
+        out_237 = None
+        out_239 = torch.nn.functional.relu(out_238, inplace=True)
+        out_238 = None
+        cat_11 = torch.cat([out_239, out_229], 1)
+        out_229 = None
+        x_44 = torch.conv2d(
+            cat_11,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_11 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_45 += out_239
+        x_46 = x_45
+        x_45 = out_239 = None
+        x_47 = torch.nn.functional.relu(x_46, inplace=True)
+        x_46 = None
+        out_240 = torch.conv2d(
+            x_47,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_241 = torch.nn.functional.batch_norm(
+            out_240,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_240 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_242 = torch.nn.functional.relu(out_241, inplace=True)
+        out_241 = None
+        out_243 = torch.conv2d(
+            out_242,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_242 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_244 = torch.nn.functional.batch_norm(
+            out_243,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_243 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_245 = torch.nn.functional.relu(out_244, inplace=True)
+        out_244 = None
+        out_246 = torch.conv2d(
+            out_245,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_245 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_247 = torch.nn.functional.batch_norm(
+            out_246,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_246 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_247 += x_47
+        out_248 = out_247
+        out_247 = None
+        out_249 = torch.nn.functional.relu(out_248, inplace=True)
+        out_248 = None
+        out_250 = torch.conv2d(
+            out_249,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_251 = torch.nn.functional.batch_norm(
+            out_250,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_250 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_252 = torch.nn.functional.relu(out_251, inplace=True)
+        out_251 = None
+        out_253 = torch.conv2d(
+            out_252,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_252 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_254 = torch.nn.functional.batch_norm(
+            out_253,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_253 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_255 = torch.nn.functional.relu(out_254, inplace=True)
+        out_254 = None
+        out_256 = torch.conv2d(
+            out_255,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_255 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_257 = torch.nn.functional.batch_norm(
+            out_256,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_256 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_257 += out_249
+        out_258 = out_257
+        out_257 = None
+        out_259 = torch.nn.functional.relu(out_258, inplace=True)
+        out_258 = None
+        cat_12 = torch.cat([out_259, out_249, bottom_4, x_35, x_43, x_47], 1)
+        out_249 = bottom_4 = x_35 = x_43 = x_47 = None
+        x_48 = torch.conv2d(
+            cat_12,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_12 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_49 += out_259
+        x_50 = x_49
+        x_49 = out_259 = None
+        x_51 = torch.nn.functional.relu(x_50, inplace=True)
+        x_50 = None
+        bottom_8 = torch.nn.functional.max_pool2d(
+            x_51, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_16 = torch.conv2d(
+            bottom_8,
+            l_self_modules_level5_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = None
+        input_17 = torch.nn.functional.batch_norm(
+            input_16,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level5_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_16 = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level5_modules_project_modules_1_parameters_bias_ = None
+        out_260 = torch.conv2d(
+            x_51,
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = (
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_261 = torch.nn.functional.batch_norm(
+            out_260,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_260 = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_262 = torch.nn.functional.relu(out_261, inplace=True)
+        out_261 = None
+        out_263 = torch.conv2d(
+            out_262,
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_262 = (
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_264 = torch.nn.functional.batch_norm(
+            out_263,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_263 = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_265 = torch.nn.functional.relu(out_264, inplace=True)
+        out_264 = None
+        out_266 = torch.conv2d(
+            out_265,
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_265 = (
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_267 = torch.nn.functional.batch_norm(
+            out_266,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_266 = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_267 += input_17
+        out_268 = out_267
+        out_267 = input_17 = None
+        out_269 = torch.nn.functional.relu(out_268, inplace=True)
+        out_268 = None
+        out_270 = torch.conv2d(
+            out_269,
+            l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_271 = torch.nn.functional.batch_norm(
+            out_270,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_270 = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_272 = torch.nn.functional.relu(out_271, inplace=True)
+        out_271 = None
+        out_273 = torch.conv2d(
+            out_272,
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_272 = (
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_274 = torch.nn.functional.batch_norm(
+            out_273,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_273 = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_275 = torch.nn.functional.relu(out_274, inplace=True)
+        out_274 = None
+        out_276 = torch.conv2d(
+            out_275,
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_275 = (
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_277 = torch.nn.functional.batch_norm(
+            out_276,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_276 = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_277 += out_269
+        out_278 = out_277
+        out_277 = None
+        out_279 = torch.nn.functional.relu(out_278, inplace=True)
+        out_278 = None
+        cat_13 = torch.cat([out_279, out_269, bottom_8], 1)
+        out_269 = bottom_8 = None
+        x_52 = torch.conv2d(
+            cat_13,
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_13 = (
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        ) = None
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = None
+        x_53 += out_279
+        x_54 = x_53
+        x_53 = out_279 = None
+        x_55 = torch.nn.functional.relu(x_54, inplace=True)
+        x_54 = None
+        x_56 = torch.nn.functional.adaptive_avg_pool2d(x_55, 1)
+        x_55 = None
+        x_57 = torch.nn.functional.dropout(x_56, 0.0, False, False)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        x_59 = x_58.flatten(1, -1)
+        x_58 = None
+        return (x_59,)
diff --git a/samples/timm/dla102x.in1k/weight_meta.py b/samples/timm/dla102x.in1k/weight_meta.py
new file mode 100644
index 000000000..6897aa204
--- /dev/null
+++ b/samples/timm/dla102x.in1k/weight_meta.py
@@ -0,0 +1,5288 @@
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_0_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_0_parameters_weight_"
+    shape = [16, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_mean_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_var_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_bias_:
+    name = "L_self_modules_base_layer_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_0_parameters_weight_:
+    name = "L_self_modules_level0_modules_0_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level0_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_var_:
+    name = "L_self_modules_level0_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_weight_:
+    name = "L_self_modules_level0_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_bias_:
+    name = "L_self_modules_level0_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_0_parameters_weight_:
+    name = "L_self_modules_level1_modules_0_parameters_weight_"
+    shape = [32, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_var_:
+    name = "L_self_modules_level1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_weight_:
+    name = "L_self_modules_level1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_bias_:
+    name = "L_self_modules_level1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_0_parameters_weight_"
+    shape = [128, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.127
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [1024, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [1024, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_conv_parameters_weight_"
+    shape = [1024, 2560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.018
+    data = None
diff --git a/samples/timm/dla102x2.in1k/graph_hash.txt b/samples/timm/dla102x2.in1k/graph_hash.txt
new file mode 100644
index 000000000..b218c5b84
--- /dev/null
+++ b/samples/timm/dla102x2.in1k/graph_hash.txt
@@ -0,0 +1 @@
+c176934c9dee93d9d06c597e1c48d377bf5fb05c484d7d0a1eebdc92d2a64965
\ No newline at end of file
diff --git a/samples/timm/dla102x2.in1k/graph_net.json b/samples/timm/dla102x2.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dla102x2.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dla102x2.in1k/input_meta.py b/samples/timm/dla102x2.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla102x2.in1k/input_tensor_constraints.py b/samples/timm/dla102x2.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla102x2.in1k/model.py b/samples/timm/dla102x2.in1k/model.py
new file mode 100644
index 000000000..112f364d7
--- /dev/null
+++ b/samples/timm/dla102x2.in1k/model.py
@@ -0,0 +1,4046 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_base_layer_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_base_layer_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_base_layer_modules_0_parameters_weight_ = (
+            L_self_modules_base_layer_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_base_layer_modules_1_buffers_running_mean_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_mean_
+        )
+        l_self_modules_base_layer_modules_1_buffers_running_var_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_var_
+        )
+        l_self_modules_base_layer_modules_1_parameters_weight_ = (
+            L_self_modules_base_layer_modules_1_parameters_weight_
+        )
+        l_self_modules_base_layer_modules_1_parameters_bias_ = (
+            L_self_modules_base_layer_modules_1_parameters_bias_
+        )
+        l_self_modules_level0_modules_0_parameters_weight_ = (
+            L_self_modules_level0_modules_0_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_buffers_running_mean_ = (
+            L_self_modules_level0_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level0_modules_1_buffers_running_var_ = (
+            L_self_modules_level0_modules_1_buffers_running_var_
+        )
+        l_self_modules_level0_modules_1_parameters_weight_ = (
+            L_self_modules_level0_modules_1_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_parameters_bias_ = (
+            L_self_modules_level0_modules_1_parameters_bias_
+        )
+        l_self_modules_level1_modules_0_parameters_weight_ = (
+            L_self_modules_level1_modules_0_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_buffers_running_mean_ = (
+            L_self_modules_level1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level1_modules_1_buffers_running_var_ = (
+            L_self_modules_level1_modules_1_buffers_running_var_
+        )
+        l_self_modules_level1_modules_1_parameters_weight_ = (
+            L_self_modules_level1_modules_1_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_parameters_bias_ = (
+            L_self_modules_level1_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_base_layer_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_base_layer_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_base_layer_modules_1_buffers_running_mean_,
+            l_self_modules_base_layer_modules_1_buffers_running_var_,
+            l_self_modules_base_layer_modules_1_parameters_weight_,
+            l_self_modules_base_layer_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_base_layer_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_base_layer_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_base_layer_modules_1_parameters_weight_
+        ) = l_self_modules_base_layer_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_level0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_level0_modules_0_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_level0_modules_1_buffers_running_mean_,
+            l_self_modules_level0_modules_1_buffers_running_var_,
+            l_self_modules_level0_modules_1_parameters_weight_,
+            l_self_modules_level0_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_level0_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level0_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level0_modules_1_parameters_weight_
+        ) = l_self_modules_level0_modules_1_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_level1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_level1_modules_0_parameters_weight_ = None
+        input_8 = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_level1_modules_1_buffers_running_mean_,
+            l_self_modules_level1_modules_1_buffers_running_var_,
+            l_self_modules_level1_modules_1_parameters_weight_,
+            l_self_modules_level1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_level1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level1_modules_1_parameters_weight_
+        ) = l_self_modules_level1_modules_1_parameters_bias_ = None
+        input_9 = torch.nn.functional.relu(input_8, inplace=True)
+        input_8 = None
+        bottom = torch.nn.functional.max_pool2d(
+            input_9, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_10 = torch.conv2d(
+            bottom,
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom = (
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_
+        ) = None
+        input_11 = torch.nn.functional.batch_norm(
+            input_10,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level2_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_10 = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level2_modules_project_modules_1_parameters_bias_ = None
+        out = torch.conv2d(
+            input_9,
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = (
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_1 = torch.nn.functional.batch_norm(
+            out,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_2 = torch.nn.functional.relu(out_1, inplace=True)
+        out_1 = None
+        out_3 = torch.conv2d(
+            out_2,
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_2 = (
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_4 = torch.nn.functional.batch_norm(
+            out_3,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_3 = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_5 = torch.nn.functional.relu(out_4, inplace=True)
+        out_4 = None
+        out_6 = torch.conv2d(
+            out_5,
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_5 = (
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_7 = torch.nn.functional.batch_norm(
+            out_6,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_6 = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_7 += input_11
+        out_8 = out_7
+        out_7 = input_11 = None
+        out_9 = torch.nn.functional.relu(out_8, inplace=True)
+        out_8 = None
+        out_10 = torch.conv2d(
+            out_9,
+            l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_11 = torch.nn.functional.batch_norm(
+            out_10,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_10 = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_12 = torch.nn.functional.relu(out_11, inplace=True)
+        out_11 = None
+        out_13 = torch.conv2d(
+            out_12,
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_12 = (
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_14 = torch.nn.functional.batch_norm(
+            out_13,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_13 = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_15 = torch.nn.functional.relu(out_14, inplace=True)
+        out_14 = None
+        out_16 = torch.conv2d(
+            out_15,
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_15 = (
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_17 = torch.nn.functional.batch_norm(
+            out_16,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_16 = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_17 += out_9
+        out_18 = out_17
+        out_17 = None
+        out_19 = torch.nn.functional.relu(out_18, inplace=True)
+        out_18 = None
+        cat = torch.cat([out_19, out_9], 1)
+        out_9 = None
+        x = torch.conv2d(
+            cat,
+            l_self_modules_level2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat = l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = None
+        x_1 += out_19
+        x_2 = x_1
+        x_1 = out_19 = None
+        x_3 = torch.nn.functional.relu(x_2, inplace=True)
+        x_2 = None
+        bottom_1 = torch.nn.functional.max_pool2d(
+            x_3, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_2 = torch.nn.functional.max_pool2d(
+            x_3, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_2 = None
+        bottom_3 = torch.nn.functional.max_pool2d(
+            x_3, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_12 = torch.conv2d(
+            bottom_3,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_3 = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_13 = torch.nn.functional.batch_norm(
+            input_12,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_12 = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_20 = torch.conv2d(
+            x_3,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_3 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_21 = torch.nn.functional.batch_norm(
+            out_20,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_20 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_22 = torch.nn.functional.relu(out_21, inplace=True)
+        out_21 = None
+        out_23 = torch.conv2d(
+            out_22,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_22 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_24 = torch.nn.functional.batch_norm(
+            out_23,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_23 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_25 = torch.nn.functional.relu(out_24, inplace=True)
+        out_24 = None
+        out_26 = torch.conv2d(
+            out_25,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_25 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_27 = torch.nn.functional.batch_norm(
+            out_26,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_26 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_27 += input_13
+        out_28 = out_27
+        out_27 = input_13 = None
+        out_29 = torch.nn.functional.relu(out_28, inplace=True)
+        out_28 = None
+        out_30 = torch.conv2d(
+            out_29,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_31 = torch.nn.functional.batch_norm(
+            out_30,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_30 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_32 = torch.nn.functional.relu(out_31, inplace=True)
+        out_31 = None
+        out_33 = torch.conv2d(
+            out_32,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_32 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_34 = torch.nn.functional.batch_norm(
+            out_33,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_33 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_35 = torch.nn.functional.relu(out_34, inplace=True)
+        out_34 = None
+        out_36 = torch.conv2d(
+            out_35,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_35 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_37 = torch.nn.functional.batch_norm(
+            out_36,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_36 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_37 += out_29
+        out_38 = out_37
+        out_37 = None
+        out_39 = torch.nn.functional.relu(out_38, inplace=True)
+        out_38 = None
+        cat_1 = torch.cat([out_39, out_29], 1)
+        out_29 = None
+        x_4 = torch.conv2d(
+            cat_1,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_1 = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_5 = torch.nn.functional.batch_norm(
+            x_4,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_4 = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_5 += out_39
+        x_6 = x_5
+        x_5 = out_39 = None
+        x_7 = torch.nn.functional.relu(x_6, inplace=True)
+        x_6 = None
+        out_40 = torch.conv2d(
+            x_7,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_41 = torch.nn.functional.batch_norm(
+            out_40,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_40 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_42 = torch.nn.functional.relu(out_41, inplace=True)
+        out_41 = None
+        out_43 = torch.conv2d(
+            out_42,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_42 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_44 = torch.nn.functional.batch_norm(
+            out_43,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_43 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_45 = torch.nn.functional.relu(out_44, inplace=True)
+        out_44 = None
+        out_46 = torch.conv2d(
+            out_45,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_45 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_47 = torch.nn.functional.batch_norm(
+            out_46,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_46 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_47 += x_7
+        out_48 = out_47
+        out_47 = None
+        out_49 = torch.nn.functional.relu(out_48, inplace=True)
+        out_48 = None
+        out_50 = torch.conv2d(
+            out_49,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_51 = torch.nn.functional.batch_norm(
+            out_50,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_50 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_52 = torch.nn.functional.relu(out_51, inplace=True)
+        out_51 = None
+        out_53 = torch.conv2d(
+            out_52,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_52 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_54 = torch.nn.functional.batch_norm(
+            out_53,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_53 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_55 = torch.nn.functional.relu(out_54, inplace=True)
+        out_54 = None
+        out_56 = torch.conv2d(
+            out_55,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_55 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_57 = torch.nn.functional.batch_norm(
+            out_56,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_56 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_57 += out_49
+        out_58 = out_57
+        out_57 = None
+        out_59 = torch.nn.functional.relu(out_58, inplace=True)
+        out_58 = None
+        cat_2 = torch.cat([out_59, out_49, x_7], 1)
+        out_49 = x_7 = None
+        x_8 = torch.conv2d(
+            cat_2,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_2 = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_9 += out_59
+        x_10 = x_9
+        x_9 = out_59 = None
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        out_60 = torch.conv2d(
+            x_11,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_61 = torch.nn.functional.batch_norm(
+            out_60,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_60 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_62 = torch.nn.functional.relu(out_61, inplace=True)
+        out_61 = None
+        out_63 = torch.conv2d(
+            out_62,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_62 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_64 = torch.nn.functional.batch_norm(
+            out_63,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_63 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_65 = torch.nn.functional.relu(out_64, inplace=True)
+        out_64 = None
+        out_66 = torch.conv2d(
+            out_65,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_65 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_67 = torch.nn.functional.batch_norm(
+            out_66,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_66 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_67 += x_11
+        out_68 = out_67
+        out_67 = None
+        out_69 = torch.nn.functional.relu(out_68, inplace=True)
+        out_68 = None
+        out_70 = torch.conv2d(
+            out_69,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_71 = torch.nn.functional.batch_norm(
+            out_70,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_70 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_72 = torch.nn.functional.relu(out_71, inplace=True)
+        out_71 = None
+        out_73 = torch.conv2d(
+            out_72,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_72 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_74 = torch.nn.functional.batch_norm(
+            out_73,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_73 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_75 = torch.nn.functional.relu(out_74, inplace=True)
+        out_74 = None
+        out_76 = torch.conv2d(
+            out_75,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_75 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_77 = torch.nn.functional.batch_norm(
+            out_76,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_76 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_77 += out_69
+        out_78 = out_77
+        out_77 = None
+        out_79 = torch.nn.functional.relu(out_78, inplace=True)
+        out_78 = None
+        cat_3 = torch.cat([out_79, out_69], 1)
+        out_69 = None
+        x_12 = torch.conv2d(
+            cat_3,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_3 = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_13 += out_79
+        x_14 = x_13
+        x_13 = out_79 = None
+        x_15 = torch.nn.functional.relu(x_14, inplace=True)
+        x_14 = None
+        out_80 = torch.conv2d(
+            x_15,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_81 = torch.nn.functional.batch_norm(
+            out_80,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_80 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_82 = torch.nn.functional.relu(out_81, inplace=True)
+        out_81 = None
+        out_83 = torch.conv2d(
+            out_82,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_82 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_84 = torch.nn.functional.batch_norm(
+            out_83,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_83 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_85 = torch.nn.functional.relu(out_84, inplace=True)
+        out_84 = None
+        out_86 = torch.conv2d(
+            out_85,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_85 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_87 = torch.nn.functional.batch_norm(
+            out_86,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_86 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_87 += x_15
+        out_88 = out_87
+        out_87 = None
+        out_89 = torch.nn.functional.relu(out_88, inplace=True)
+        out_88 = None
+        out_90 = torch.conv2d(
+            out_89,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_91 = torch.nn.functional.batch_norm(
+            out_90,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_90 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_92 = torch.nn.functional.relu(out_91, inplace=True)
+        out_91 = None
+        out_93 = torch.conv2d(
+            out_92,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_92 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_94 = torch.nn.functional.batch_norm(
+            out_93,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_93 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_95 = torch.nn.functional.relu(out_94, inplace=True)
+        out_94 = None
+        out_96 = torch.conv2d(
+            out_95,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_95 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_97 = torch.nn.functional.batch_norm(
+            out_96,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_96 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_97 += out_89
+        out_98 = out_97
+        out_97 = None
+        out_99 = torch.nn.functional.relu(out_98, inplace=True)
+        out_98 = None
+        cat_4 = torch.cat([out_99, out_89, bottom_1, x_11, x_15], 1)
+        out_89 = bottom_1 = x_11 = x_15 = None
+        x_16 = torch.conv2d(
+            cat_4,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_4 = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_17 += out_99
+        x_18 = x_17
+        x_17 = out_99 = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        bottom_4 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_5 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_5 = None
+        bottom_6 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_6 = None
+        bottom_7 = torch.nn.functional.max_pool2d(
+            x_19, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_14 = torch.conv2d(
+            bottom_7,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_7 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_100 = torch.conv2d(
+            x_19,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_101 = torch.nn.functional.batch_norm(
+            out_100,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_100 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_102 = torch.nn.functional.relu(out_101, inplace=True)
+        out_101 = None
+        out_103 = torch.conv2d(
+            out_102,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_102 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_104 = torch.nn.functional.batch_norm(
+            out_103,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_103 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_105 = torch.nn.functional.relu(out_104, inplace=True)
+        out_104 = None
+        out_106 = torch.conv2d(
+            out_105,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_105 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_107 = torch.nn.functional.batch_norm(
+            out_106,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_106 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_107 += input_15
+        out_108 = out_107
+        out_107 = input_15 = None
+        out_109 = torch.nn.functional.relu(out_108, inplace=True)
+        out_108 = None
+        out_110 = torch.conv2d(
+            out_109,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_111 = torch.nn.functional.batch_norm(
+            out_110,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_110 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_112 = torch.nn.functional.relu(out_111, inplace=True)
+        out_111 = None
+        out_113 = torch.conv2d(
+            out_112,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_112 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_114 = torch.nn.functional.batch_norm(
+            out_113,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_113 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_115 = torch.nn.functional.relu(out_114, inplace=True)
+        out_114 = None
+        out_116 = torch.conv2d(
+            out_115,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_115 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_117 = torch.nn.functional.batch_norm(
+            out_116,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_116 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_117 += out_109
+        out_118 = out_117
+        out_117 = None
+        out_119 = torch.nn.functional.relu(out_118, inplace=True)
+        out_118 = None
+        cat_5 = torch.cat([out_119, out_109], 1)
+        out_109 = None
+        x_20 = torch.conv2d(
+            cat_5,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_5 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_21 += out_119
+        x_22 = x_21
+        x_21 = out_119 = None
+        x_23 = torch.nn.functional.relu(x_22, inplace=True)
+        x_22 = None
+        out_120 = torch.conv2d(
+            x_23,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_121 = torch.nn.functional.batch_norm(
+            out_120,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_120 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_122 = torch.nn.functional.relu(out_121, inplace=True)
+        out_121 = None
+        out_123 = torch.conv2d(
+            out_122,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_122 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_124 = torch.nn.functional.batch_norm(
+            out_123,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_123 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_125 = torch.nn.functional.relu(out_124, inplace=True)
+        out_124 = None
+        out_126 = torch.conv2d(
+            out_125,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_125 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_127 = torch.nn.functional.batch_norm(
+            out_126,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_126 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_127 += x_23
+        out_128 = out_127
+        out_127 = None
+        out_129 = torch.nn.functional.relu(out_128, inplace=True)
+        out_128 = None
+        out_130 = torch.conv2d(
+            out_129,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_131 = torch.nn.functional.batch_norm(
+            out_130,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_130 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_132 = torch.nn.functional.relu(out_131, inplace=True)
+        out_131 = None
+        out_133 = torch.conv2d(
+            out_132,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_132 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_134 = torch.nn.functional.batch_norm(
+            out_133,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_133 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_135 = torch.nn.functional.relu(out_134, inplace=True)
+        out_134 = None
+        out_136 = torch.conv2d(
+            out_135,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_135 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_137 = torch.nn.functional.batch_norm(
+            out_136,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_136 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_137 += out_129
+        out_138 = out_137
+        out_137 = None
+        out_139 = torch.nn.functional.relu(out_138, inplace=True)
+        out_138 = None
+        cat_6 = torch.cat([out_139, out_129, x_23], 1)
+        out_129 = x_23 = None
+        x_24 = torch.conv2d(
+            cat_6,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_6 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_25 += out_139
+        x_26 = x_25
+        x_25 = out_139 = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        out_140 = torch.conv2d(
+            x_27,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_141 = torch.nn.functional.batch_norm(
+            out_140,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_140 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_142 = torch.nn.functional.relu(out_141, inplace=True)
+        out_141 = None
+        out_143 = torch.conv2d(
+            out_142,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_142 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_144 = torch.nn.functional.batch_norm(
+            out_143,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_143 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_145 = torch.nn.functional.relu(out_144, inplace=True)
+        out_144 = None
+        out_146 = torch.conv2d(
+            out_145,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_145 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_147 = torch.nn.functional.batch_norm(
+            out_146,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_146 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_147 += x_27
+        out_148 = out_147
+        out_147 = None
+        out_149 = torch.nn.functional.relu(out_148, inplace=True)
+        out_148 = None
+        out_150 = torch.conv2d(
+            out_149,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_151 = torch.nn.functional.batch_norm(
+            out_150,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_150 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_152 = torch.nn.functional.relu(out_151, inplace=True)
+        out_151 = None
+        out_153 = torch.conv2d(
+            out_152,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_152 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_154 = torch.nn.functional.batch_norm(
+            out_153,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_153 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_155 = torch.nn.functional.relu(out_154, inplace=True)
+        out_154 = None
+        out_156 = torch.conv2d(
+            out_155,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_155 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_157 = torch.nn.functional.batch_norm(
+            out_156,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_156 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_157 += out_149
+        out_158 = out_157
+        out_157 = None
+        out_159 = torch.nn.functional.relu(out_158, inplace=True)
+        out_158 = None
+        cat_7 = torch.cat([out_159, out_149], 1)
+        out_149 = None
+        x_28 = torch.conv2d(
+            cat_7,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_7 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_29 += out_159
+        x_30 = x_29
+        x_29 = out_159 = None
+        x_31 = torch.nn.functional.relu(x_30, inplace=True)
+        x_30 = None
+        out_160 = torch.conv2d(
+            x_31,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_161 = torch.nn.functional.batch_norm(
+            out_160,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_160 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_162 = torch.nn.functional.relu(out_161, inplace=True)
+        out_161 = None
+        out_163 = torch.conv2d(
+            out_162,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_162 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_164 = torch.nn.functional.batch_norm(
+            out_163,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_163 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_165 = torch.nn.functional.relu(out_164, inplace=True)
+        out_164 = None
+        out_166 = torch.conv2d(
+            out_165,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_165 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_167 = torch.nn.functional.batch_norm(
+            out_166,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_166 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_167 += x_31
+        out_168 = out_167
+        out_167 = None
+        out_169 = torch.nn.functional.relu(out_168, inplace=True)
+        out_168 = None
+        out_170 = torch.conv2d(
+            out_169,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_171 = torch.nn.functional.batch_norm(
+            out_170,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_170 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_172 = torch.nn.functional.relu(out_171, inplace=True)
+        out_171 = None
+        out_173 = torch.conv2d(
+            out_172,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_172 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_174 = torch.nn.functional.batch_norm(
+            out_173,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_173 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_175 = torch.nn.functional.relu(out_174, inplace=True)
+        out_174 = None
+        out_176 = torch.conv2d(
+            out_175,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_175 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_177 = torch.nn.functional.batch_norm(
+            out_176,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_176 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_177 += out_169
+        out_178 = out_177
+        out_177 = None
+        out_179 = torch.nn.functional.relu(out_178, inplace=True)
+        out_178 = None
+        cat_8 = torch.cat([out_179, out_169, x_27, x_31], 1)
+        out_169 = x_27 = x_31 = None
+        x_32 = torch.conv2d(
+            cat_8,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_8 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_33 += out_179
+        x_34 = x_33
+        x_33 = out_179 = None
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        out_180 = torch.conv2d(
+            x_35,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_181 = torch.nn.functional.batch_norm(
+            out_180,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_180 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_182 = torch.nn.functional.relu(out_181, inplace=True)
+        out_181 = None
+        out_183 = torch.conv2d(
+            out_182,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_182 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_184 = torch.nn.functional.batch_norm(
+            out_183,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_183 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_185 = torch.nn.functional.relu(out_184, inplace=True)
+        out_184 = None
+        out_186 = torch.conv2d(
+            out_185,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_185 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_187 = torch.nn.functional.batch_norm(
+            out_186,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_186 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_187 += x_35
+        out_188 = out_187
+        out_187 = None
+        out_189 = torch.nn.functional.relu(out_188, inplace=True)
+        out_188 = None
+        out_190 = torch.conv2d(
+            out_189,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_191 = torch.nn.functional.batch_norm(
+            out_190,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_190 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_192 = torch.nn.functional.relu(out_191, inplace=True)
+        out_191 = None
+        out_193 = torch.conv2d(
+            out_192,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_192 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_194 = torch.nn.functional.batch_norm(
+            out_193,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_193 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_195 = torch.nn.functional.relu(out_194, inplace=True)
+        out_194 = None
+        out_196 = torch.conv2d(
+            out_195,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_195 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_197 = torch.nn.functional.batch_norm(
+            out_196,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_196 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_197 += out_189
+        out_198 = out_197
+        out_197 = None
+        out_199 = torch.nn.functional.relu(out_198, inplace=True)
+        out_198 = None
+        cat_9 = torch.cat([out_199, out_189], 1)
+        out_189 = None
+        x_36 = torch.conv2d(
+            cat_9,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_9 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_37 += out_199
+        x_38 = x_37
+        x_37 = out_199 = None
+        x_39 = torch.nn.functional.relu(x_38, inplace=True)
+        x_38 = None
+        out_200 = torch.conv2d(
+            x_39,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_201 = torch.nn.functional.batch_norm(
+            out_200,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_200 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_202 = torch.nn.functional.relu(out_201, inplace=True)
+        out_201 = None
+        out_203 = torch.conv2d(
+            out_202,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_202 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_204 = torch.nn.functional.batch_norm(
+            out_203,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_203 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_205 = torch.nn.functional.relu(out_204, inplace=True)
+        out_204 = None
+        out_206 = torch.conv2d(
+            out_205,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_205 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_207 = torch.nn.functional.batch_norm(
+            out_206,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_206 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_207 += x_39
+        out_208 = out_207
+        out_207 = None
+        out_209 = torch.nn.functional.relu(out_208, inplace=True)
+        out_208 = None
+        out_210 = torch.conv2d(
+            out_209,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_211 = torch.nn.functional.batch_norm(
+            out_210,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_210 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_212 = torch.nn.functional.relu(out_211, inplace=True)
+        out_211 = None
+        out_213 = torch.conv2d(
+            out_212,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_212 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_214 = torch.nn.functional.batch_norm(
+            out_213,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_213 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_215 = torch.nn.functional.relu(out_214, inplace=True)
+        out_214 = None
+        out_216 = torch.conv2d(
+            out_215,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_215 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_217 = torch.nn.functional.batch_norm(
+            out_216,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_216 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_217 += out_209
+        out_218 = out_217
+        out_217 = None
+        out_219 = torch.nn.functional.relu(out_218, inplace=True)
+        out_218 = None
+        cat_10 = torch.cat([out_219, out_209, x_39], 1)
+        out_209 = x_39 = None
+        x_40 = torch.conv2d(
+            cat_10,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_10 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_41 += out_219
+        x_42 = x_41
+        x_41 = out_219 = None
+        x_43 = torch.nn.functional.relu(x_42, inplace=True)
+        x_42 = None
+        out_220 = torch.conv2d(
+            x_43,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_221 = torch.nn.functional.batch_norm(
+            out_220,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_220 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_222 = torch.nn.functional.relu(out_221, inplace=True)
+        out_221 = None
+        out_223 = torch.conv2d(
+            out_222,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_222 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_224 = torch.nn.functional.batch_norm(
+            out_223,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_223 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_225 = torch.nn.functional.relu(out_224, inplace=True)
+        out_224 = None
+        out_226 = torch.conv2d(
+            out_225,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_225 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_227 = torch.nn.functional.batch_norm(
+            out_226,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_226 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_227 += x_43
+        out_228 = out_227
+        out_227 = None
+        out_229 = torch.nn.functional.relu(out_228, inplace=True)
+        out_228 = None
+        out_230 = torch.conv2d(
+            out_229,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_231 = torch.nn.functional.batch_norm(
+            out_230,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_230 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_232 = torch.nn.functional.relu(out_231, inplace=True)
+        out_231 = None
+        out_233 = torch.conv2d(
+            out_232,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_232 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_234 = torch.nn.functional.batch_norm(
+            out_233,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_233 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_235 = torch.nn.functional.relu(out_234, inplace=True)
+        out_234 = None
+        out_236 = torch.conv2d(
+            out_235,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_235 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_237 = torch.nn.functional.batch_norm(
+            out_236,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_236 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_237 += out_229
+        out_238 = out_237
+        out_237 = None
+        out_239 = torch.nn.functional.relu(out_238, inplace=True)
+        out_238 = None
+        cat_11 = torch.cat([out_239, out_229], 1)
+        out_229 = None
+        x_44 = torch.conv2d(
+            cat_11,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_11 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_45 += out_239
+        x_46 = x_45
+        x_45 = out_239 = None
+        x_47 = torch.nn.functional.relu(x_46, inplace=True)
+        x_46 = None
+        out_240 = torch.conv2d(
+            x_47,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_241 = torch.nn.functional.batch_norm(
+            out_240,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_240 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_242 = torch.nn.functional.relu(out_241, inplace=True)
+        out_241 = None
+        out_243 = torch.conv2d(
+            out_242,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_242 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_244 = torch.nn.functional.batch_norm(
+            out_243,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_243 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_245 = torch.nn.functional.relu(out_244, inplace=True)
+        out_244 = None
+        out_246 = torch.conv2d(
+            out_245,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_245 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_247 = torch.nn.functional.batch_norm(
+            out_246,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_246 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_247 += x_47
+        out_248 = out_247
+        out_247 = None
+        out_249 = torch.nn.functional.relu(out_248, inplace=True)
+        out_248 = None
+        out_250 = torch.conv2d(
+            out_249,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_251 = torch.nn.functional.batch_norm(
+            out_250,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_250 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_252 = torch.nn.functional.relu(out_251, inplace=True)
+        out_251 = None
+        out_253 = torch.conv2d(
+            out_252,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_252 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_254 = torch.nn.functional.batch_norm(
+            out_253,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_253 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_255 = torch.nn.functional.relu(out_254, inplace=True)
+        out_254 = None
+        out_256 = torch.conv2d(
+            out_255,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_255 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_257 = torch.nn.functional.batch_norm(
+            out_256,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_256 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_257 += out_249
+        out_258 = out_257
+        out_257 = None
+        out_259 = torch.nn.functional.relu(out_258, inplace=True)
+        out_258 = None
+        cat_12 = torch.cat([out_259, out_249, bottom_4, x_35, x_43, x_47], 1)
+        out_249 = bottom_4 = x_35 = x_43 = x_47 = None
+        x_48 = torch.conv2d(
+            cat_12,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_12 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_49 += out_259
+        x_50 = x_49
+        x_49 = out_259 = None
+        x_51 = torch.nn.functional.relu(x_50, inplace=True)
+        x_50 = None
+        bottom_8 = torch.nn.functional.max_pool2d(
+            x_51, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_16 = torch.conv2d(
+            bottom_8,
+            l_self_modules_level5_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = None
+        input_17 = torch.nn.functional.batch_norm(
+            input_16,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level5_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_16 = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level5_modules_project_modules_1_parameters_bias_ = None
+        out_260 = torch.conv2d(
+            x_51,
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = (
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_261 = torch.nn.functional.batch_norm(
+            out_260,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_260 = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_262 = torch.nn.functional.relu(out_261, inplace=True)
+        out_261 = None
+        out_263 = torch.conv2d(
+            out_262,
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_262 = (
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_264 = torch.nn.functional.batch_norm(
+            out_263,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_263 = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_265 = torch.nn.functional.relu(out_264, inplace=True)
+        out_264 = None
+        out_266 = torch.conv2d(
+            out_265,
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_265 = (
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_267 = torch.nn.functional.batch_norm(
+            out_266,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_266 = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_267 += input_17
+        out_268 = out_267
+        out_267 = input_17 = None
+        out_269 = torch.nn.functional.relu(out_268, inplace=True)
+        out_268 = None
+        out_270 = torch.conv2d(
+            out_269,
+            l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_271 = torch.nn.functional.batch_norm(
+            out_270,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_270 = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_272 = torch.nn.functional.relu(out_271, inplace=True)
+        out_271 = None
+        out_273 = torch.conv2d(
+            out_272,
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        out_272 = (
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_274 = torch.nn.functional.batch_norm(
+            out_273,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_273 = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_275 = torch.nn.functional.relu(out_274, inplace=True)
+        out_274 = None
+        out_276 = torch.conv2d(
+            out_275,
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_275 = (
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_277 = torch.nn.functional.batch_norm(
+            out_276,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_276 = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_277 += out_269
+        out_278 = out_277
+        out_277 = None
+        out_279 = torch.nn.functional.relu(out_278, inplace=True)
+        out_278 = None
+        cat_13 = torch.cat([out_279, out_269, bottom_8], 1)
+        out_269 = bottom_8 = None
+        x_52 = torch.conv2d(
+            cat_13,
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_13 = (
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        ) = None
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = None
+        x_53 += out_279
+        x_54 = x_53
+        x_53 = out_279 = None
+        x_55 = torch.nn.functional.relu(x_54, inplace=True)
+        x_54 = None
+        x_56 = torch.nn.functional.adaptive_avg_pool2d(x_55, 1)
+        x_55 = None
+        x_57 = torch.nn.functional.dropout(x_56, 0.0, False, False)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        x_59 = x_58.flatten(1, -1)
+        x_58 = None
+        return (x_59,)
diff --git a/samples/timm/dla102x2.in1k/weight_meta.py b/samples/timm/dla102x2.in1k/weight_meta.py
new file mode 100644
index 000000000..4519811b5
--- /dev/null
+++ b/samples/timm/dla102x2.in1k/weight_meta.py
@@ -0,0 +1,5288 @@
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_0_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_0_parameters_weight_"
+    shape = [16, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.220
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_mean_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_var_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_bias_:
+    name = "L_self_modules_base_layer_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_0_parameters_weight_:
+    name = "L_self_modules_level0_modules_0_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level0_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_var_:
+    name = "L_self_modules_level0_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_weight_:
+    name = "L_self_modules_level0_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_bias_:
+    name = "L_self_modules_level0_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_0_parameters_weight_:
+    name = "L_self_modules_level1_modules_0_parameters_weight_"
+    shape = [32, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_var_:
+    name = "L_self_modules_level1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_weight_:
+    name = "L_self_modules_level1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_bias_:
+    name = "L_self_modules_level1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_0_parameters_weight_"
+    shape = [128, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.090
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [1024, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [2048, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [1024, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [2048, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [1024, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_conv_parameters_weight_"
+    shape = [1024, 2560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
diff --git a/samples/timm/dla169.in1k/graph_hash.txt b/samples/timm/dla169.in1k/graph_hash.txt
new file mode 100644
index 000000000..c280d79d7
--- /dev/null
+++ b/samples/timm/dla169.in1k/graph_hash.txt
@@ -0,0 +1 @@
+fe3ca441f696e653391c68037fda075f018c626a52971f56442961ea5b8fda86
\ No newline at end of file
diff --git a/samples/timm/dla169.in1k/graph_net.json b/samples/timm/dla169.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dla169.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dla169.in1k/input_meta.py b/samples/timm/dla169.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla169.in1k/input_tensor_constraints.py b/samples/timm/dla169.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla169.in1k/model.py b/samples/timm/dla169.in1k/model.py
new file mode 100644
index 000000000..9d7cbf692
--- /dev/null
+++ b/samples/timm/dla169.in1k/model.py
@@ -0,0 +1,6138 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_base_layer_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_base_layer_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_base_layer_modules_0_parameters_weight_ = (
+            L_self_modules_base_layer_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_base_layer_modules_1_buffers_running_mean_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_mean_
+        )
+        l_self_modules_base_layer_modules_1_buffers_running_var_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_var_
+        )
+        l_self_modules_base_layer_modules_1_parameters_weight_ = (
+            L_self_modules_base_layer_modules_1_parameters_weight_
+        )
+        l_self_modules_base_layer_modules_1_parameters_bias_ = (
+            L_self_modules_base_layer_modules_1_parameters_bias_
+        )
+        l_self_modules_level0_modules_0_parameters_weight_ = (
+            L_self_modules_level0_modules_0_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_buffers_running_mean_ = (
+            L_self_modules_level0_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level0_modules_1_buffers_running_var_ = (
+            L_self_modules_level0_modules_1_buffers_running_var_
+        )
+        l_self_modules_level0_modules_1_parameters_weight_ = (
+            L_self_modules_level0_modules_1_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_parameters_bias_ = (
+            L_self_modules_level0_modules_1_parameters_bias_
+        )
+        l_self_modules_level1_modules_0_parameters_weight_ = (
+            L_self_modules_level1_modules_0_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_buffers_running_mean_ = (
+            L_self_modules_level1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level1_modules_1_buffers_running_var_ = (
+            L_self_modules_level1_modules_1_buffers_running_var_
+        )
+        l_self_modules_level1_modules_1_parameters_weight_ = (
+            L_self_modules_level1_modules_1_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_parameters_bias_ = (
+            L_self_modules_level1_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_base_layer_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_base_layer_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_base_layer_modules_1_buffers_running_mean_,
+            l_self_modules_base_layer_modules_1_buffers_running_var_,
+            l_self_modules_base_layer_modules_1_parameters_weight_,
+            l_self_modules_base_layer_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_base_layer_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_base_layer_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_base_layer_modules_1_parameters_weight_
+        ) = l_self_modules_base_layer_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_level0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_level0_modules_0_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_level0_modules_1_buffers_running_mean_,
+            l_self_modules_level0_modules_1_buffers_running_var_,
+            l_self_modules_level0_modules_1_parameters_weight_,
+            l_self_modules_level0_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_level0_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level0_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level0_modules_1_parameters_weight_
+        ) = l_self_modules_level0_modules_1_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_level1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_level1_modules_0_parameters_weight_ = None
+        input_8 = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_level1_modules_1_buffers_running_mean_,
+            l_self_modules_level1_modules_1_buffers_running_var_,
+            l_self_modules_level1_modules_1_parameters_weight_,
+            l_self_modules_level1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_level1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level1_modules_1_parameters_weight_
+        ) = l_self_modules_level1_modules_1_parameters_bias_ = None
+        input_9 = torch.nn.functional.relu(input_8, inplace=True)
+        input_8 = None
+        bottom = torch.nn.functional.max_pool2d(
+            input_9, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom = None
+        bottom_1 = torch.nn.functional.max_pool2d(
+            input_9, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_10 = torch.conv2d(
+            bottom_1,
+            l_self_modules_level2_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_1 = l_self_modules_level2_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_11 = torch.nn.functional.batch_norm(
+            input_10,
+            l_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_10 = l_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out = torch.conv2d(
+            input_9,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = l_self_modules_level2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_1 = torch.nn.functional.batch_norm(
+            out,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_2 = torch.nn.functional.relu(out_1, inplace=True)
+        out_1 = None
+        out_3 = torch.conv2d(
+            out_2,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_2 = l_self_modules_level2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_4 = torch.nn.functional.batch_norm(
+            out_3,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_3 = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_5 = torch.nn.functional.relu(out_4, inplace=True)
+        out_4 = None
+        out_6 = torch.conv2d(
+            out_5,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_5 = l_self_modules_level2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_7 = torch.nn.functional.batch_norm(
+            out_6,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_6 = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_7 += input_11
+        out_8 = out_7
+        out_7 = input_11 = None
+        out_9 = torch.nn.functional.relu(out_8, inplace=True)
+        out_8 = None
+        out_10 = torch.conv2d(
+            out_9,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_11 = torch.nn.functional.batch_norm(
+            out_10,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_10 = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_12 = torch.nn.functional.relu(out_11, inplace=True)
+        out_11 = None
+        out_13 = torch.conv2d(
+            out_12,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_12 = l_self_modules_level2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_14 = torch.nn.functional.batch_norm(
+            out_13,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_13 = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_15 = torch.nn.functional.relu(out_14, inplace=True)
+        out_14 = None
+        out_16 = torch.conv2d(
+            out_15,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_15 = l_self_modules_level2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_17 = torch.nn.functional.batch_norm(
+            out_16,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_16 = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_17 += out_9
+        out_18 = out_17
+        out_17 = None
+        out_19 = torch.nn.functional.relu(out_18, inplace=True)
+        out_18 = None
+        cat = torch.cat([out_19, out_9], 1)
+        out_9 = None
+        x = torch.conv2d(
+            cat,
+            l_self_modules_level2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat = l_self_modules_level2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = l_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_1 += out_19
+        x_2 = x_1
+        x_1 = out_19 = None
+        x_3 = torch.nn.functional.relu(x_2, inplace=True)
+        x_2 = None
+        out_20 = torch.conv2d(
+            x_3,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_21 = torch.nn.functional.batch_norm(
+            out_20,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_20 = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_22 = torch.nn.functional.relu(out_21, inplace=True)
+        out_21 = None
+        out_23 = torch.conv2d(
+            out_22,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_22 = l_self_modules_level2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_24 = torch.nn.functional.batch_norm(
+            out_23,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_23 = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_25 = torch.nn.functional.relu(out_24, inplace=True)
+        out_24 = None
+        out_26 = torch.conv2d(
+            out_25,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_25 = l_self_modules_level2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_27 = torch.nn.functional.batch_norm(
+            out_26,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_26 = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_27 += x_3
+        out_28 = out_27
+        out_27 = None
+        out_29 = torch.nn.functional.relu(out_28, inplace=True)
+        out_28 = None
+        out_30 = torch.conv2d(
+            out_29,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_31 = torch.nn.functional.batch_norm(
+            out_30,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_30 = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_32 = torch.nn.functional.relu(out_31, inplace=True)
+        out_31 = None
+        out_33 = torch.conv2d(
+            out_32,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_32 = l_self_modules_level2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_34 = torch.nn.functional.batch_norm(
+            out_33,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_33 = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_35 = torch.nn.functional.relu(out_34, inplace=True)
+        out_34 = None
+        out_36 = torch.conv2d(
+            out_35,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_35 = l_self_modules_level2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_37 = torch.nn.functional.batch_norm(
+            out_36,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_36 = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_37 += out_29
+        out_38 = out_37
+        out_37 = None
+        out_39 = torch.nn.functional.relu(out_38, inplace=True)
+        out_38 = None
+        cat_1 = torch.cat([out_39, out_29, x_3], 1)
+        out_29 = x_3 = None
+        x_4 = torch.conv2d(
+            cat_1,
+            l_self_modules_level2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_1 = l_self_modules_level2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_5 = torch.nn.functional.batch_norm(
+            x_4,
+            l_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_4 = l_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_5 += out_39
+        x_6 = x_5
+        x_5 = out_39 = None
+        x_7 = torch.nn.functional.relu(x_6, inplace=True)
+        x_6 = None
+        bottom_2 = torch.nn.functional.max_pool2d(
+            x_7, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_3 = torch.nn.functional.max_pool2d(
+            x_7, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_3 = None
+        bottom_4 = torch.nn.functional.max_pool2d(
+            x_7, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_12 = torch.conv2d(
+            bottom_4,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_4 = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_13 = torch.nn.functional.batch_norm(
+            input_12,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_12 = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_40 = torch.conv2d(
+            x_7,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_41 = torch.nn.functional.batch_norm(
+            out_40,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_40 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_42 = torch.nn.functional.relu(out_41, inplace=True)
+        out_41 = None
+        out_43 = torch.conv2d(
+            out_42,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_42 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_44 = torch.nn.functional.batch_norm(
+            out_43,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_43 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_45 = torch.nn.functional.relu(out_44, inplace=True)
+        out_44 = None
+        out_46 = torch.conv2d(
+            out_45,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_45 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_47 = torch.nn.functional.batch_norm(
+            out_46,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_46 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_47 += input_13
+        out_48 = out_47
+        out_47 = input_13 = None
+        out_49 = torch.nn.functional.relu(out_48, inplace=True)
+        out_48 = None
+        out_50 = torch.conv2d(
+            out_49,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_51 = torch.nn.functional.batch_norm(
+            out_50,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_50 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_52 = torch.nn.functional.relu(out_51, inplace=True)
+        out_51 = None
+        out_53 = torch.conv2d(
+            out_52,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_52 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_54 = torch.nn.functional.batch_norm(
+            out_53,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_53 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_55 = torch.nn.functional.relu(out_54, inplace=True)
+        out_54 = None
+        out_56 = torch.conv2d(
+            out_55,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_55 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_57 = torch.nn.functional.batch_norm(
+            out_56,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_56 = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_57 += out_49
+        out_58 = out_57
+        out_57 = None
+        out_59 = torch.nn.functional.relu(out_58, inplace=True)
+        out_58 = None
+        cat_2 = torch.cat([out_59, out_49], 1)
+        out_49 = None
+        x_8 = torch.conv2d(
+            cat_2,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_2 = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_9 += out_59
+        x_10 = x_9
+        x_9 = out_59 = None
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        out_60 = torch.conv2d(
+            x_11,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_61 = torch.nn.functional.batch_norm(
+            out_60,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_60 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_62 = torch.nn.functional.relu(out_61, inplace=True)
+        out_61 = None
+        out_63 = torch.conv2d(
+            out_62,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_62 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_64 = torch.nn.functional.batch_norm(
+            out_63,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_63 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_65 = torch.nn.functional.relu(out_64, inplace=True)
+        out_64 = None
+        out_66 = torch.conv2d(
+            out_65,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_65 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_67 = torch.nn.functional.batch_norm(
+            out_66,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_66 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_67 += x_11
+        out_68 = out_67
+        out_67 = None
+        out_69 = torch.nn.functional.relu(out_68, inplace=True)
+        out_68 = None
+        out_70 = torch.conv2d(
+            out_69,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_71 = torch.nn.functional.batch_norm(
+            out_70,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_70 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_72 = torch.nn.functional.relu(out_71, inplace=True)
+        out_71 = None
+        out_73 = torch.conv2d(
+            out_72,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_72 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_74 = torch.nn.functional.batch_norm(
+            out_73,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_73 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_75 = torch.nn.functional.relu(out_74, inplace=True)
+        out_74 = None
+        out_76 = torch.conv2d(
+            out_75,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_75 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_77 = torch.nn.functional.batch_norm(
+            out_76,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_76 = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_77 += out_69
+        out_78 = out_77
+        out_77 = None
+        out_79 = torch.nn.functional.relu(out_78, inplace=True)
+        out_78 = None
+        cat_3 = torch.cat([out_79, out_69, x_11], 1)
+        out_69 = x_11 = None
+        x_12 = torch.conv2d(
+            cat_3,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_3 = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_13 += out_79
+        x_14 = x_13
+        x_13 = out_79 = None
+        x_15 = torch.nn.functional.relu(x_14, inplace=True)
+        x_14 = None
+        out_80 = torch.conv2d(
+            x_15,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_81 = torch.nn.functional.batch_norm(
+            out_80,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_80 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_82 = torch.nn.functional.relu(out_81, inplace=True)
+        out_81 = None
+        out_83 = torch.conv2d(
+            out_82,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_82 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_84 = torch.nn.functional.batch_norm(
+            out_83,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_83 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_85 = torch.nn.functional.relu(out_84, inplace=True)
+        out_84 = None
+        out_86 = torch.conv2d(
+            out_85,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_85 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_87 = torch.nn.functional.batch_norm(
+            out_86,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_86 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_87 += x_15
+        out_88 = out_87
+        out_87 = None
+        out_89 = torch.nn.functional.relu(out_88, inplace=True)
+        out_88 = None
+        out_90 = torch.conv2d(
+            out_89,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_91 = torch.nn.functional.batch_norm(
+            out_90,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_90 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_92 = torch.nn.functional.relu(out_91, inplace=True)
+        out_91 = None
+        out_93 = torch.conv2d(
+            out_92,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_92 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_94 = torch.nn.functional.batch_norm(
+            out_93,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_93 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_95 = torch.nn.functional.relu(out_94, inplace=True)
+        out_94 = None
+        out_96 = torch.conv2d(
+            out_95,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_95 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_97 = torch.nn.functional.batch_norm(
+            out_96,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_96 = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_97 += out_89
+        out_98 = out_97
+        out_97 = None
+        out_99 = torch.nn.functional.relu(out_98, inplace=True)
+        out_98 = None
+        cat_4 = torch.cat([out_99, out_89], 1)
+        out_89 = None
+        x_16 = torch.conv2d(
+            cat_4,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_4 = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_17 += out_99
+        x_18 = x_17
+        x_17 = out_99 = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        out_100 = torch.conv2d(
+            x_19,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_101 = torch.nn.functional.batch_norm(
+            out_100,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_100 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_102 = torch.nn.functional.relu(out_101, inplace=True)
+        out_101 = None
+        out_103 = torch.conv2d(
+            out_102,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_102 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_104 = torch.nn.functional.batch_norm(
+            out_103,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_103 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_105 = torch.nn.functional.relu(out_104, inplace=True)
+        out_104 = None
+        out_106 = torch.conv2d(
+            out_105,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_105 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_107 = torch.nn.functional.batch_norm(
+            out_106,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_106 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_107 += x_19
+        out_108 = out_107
+        out_107 = None
+        out_109 = torch.nn.functional.relu(out_108, inplace=True)
+        out_108 = None
+        out_110 = torch.conv2d(
+            out_109,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_111 = torch.nn.functional.batch_norm(
+            out_110,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_110 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_112 = torch.nn.functional.relu(out_111, inplace=True)
+        out_111 = None
+        out_113 = torch.conv2d(
+            out_112,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_112 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_114 = torch.nn.functional.batch_norm(
+            out_113,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_113 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_115 = torch.nn.functional.relu(out_114, inplace=True)
+        out_114 = None
+        out_116 = torch.conv2d(
+            out_115,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_115 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_117 = torch.nn.functional.batch_norm(
+            out_116,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_116 = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_117 += out_109
+        out_118 = out_117
+        out_117 = None
+        out_119 = torch.nn.functional.relu(out_118, inplace=True)
+        out_118 = None
+        cat_5 = torch.cat([out_119, out_109, bottom_2, x_15, x_19], 1)
+        out_109 = bottom_2 = x_15 = x_19 = None
+        x_20 = torch.conv2d(
+            cat_5,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_5 = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_21 += out_119
+        x_22 = x_21
+        x_21 = out_119 = None
+        x_23 = torch.nn.functional.relu(x_22, inplace=True)
+        x_22 = None
+        bottom_5 = torch.nn.functional.max_pool2d(
+            x_23, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_6 = torch.nn.functional.max_pool2d(
+            x_23, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_6 = None
+        bottom_7 = torch.nn.functional.max_pool2d(
+            x_23, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_7 = None
+        bottom_8 = torch.nn.functional.max_pool2d(
+            x_23, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_8 = None
+        bottom_9 = torch.nn.functional.max_pool2d(
+            x_23, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_14 = torch.conv2d(
+            bottom_9,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_9 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_120 = torch.conv2d(
+            x_23,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_121 = torch.nn.functional.batch_norm(
+            out_120,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_120 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_122 = torch.nn.functional.relu(out_121, inplace=True)
+        out_121 = None
+        out_123 = torch.conv2d(
+            out_122,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_122 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_124 = torch.nn.functional.batch_norm(
+            out_123,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_123 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_125 = torch.nn.functional.relu(out_124, inplace=True)
+        out_124 = None
+        out_126 = torch.conv2d(
+            out_125,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_125 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_127 = torch.nn.functional.batch_norm(
+            out_126,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_126 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_127 += input_15
+        out_128 = out_127
+        out_127 = input_15 = None
+        out_129 = torch.nn.functional.relu(out_128, inplace=True)
+        out_128 = None
+        out_130 = torch.conv2d(
+            out_129,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_131 = torch.nn.functional.batch_norm(
+            out_130,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_130 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_132 = torch.nn.functional.relu(out_131, inplace=True)
+        out_131 = None
+        out_133 = torch.conv2d(
+            out_132,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_132 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_134 = torch.nn.functional.batch_norm(
+            out_133,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_133 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_135 = torch.nn.functional.relu(out_134, inplace=True)
+        out_134 = None
+        out_136 = torch.conv2d(
+            out_135,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_135 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_137 = torch.nn.functional.batch_norm(
+            out_136,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_136 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_137 += out_129
+        out_138 = out_137
+        out_137 = None
+        out_139 = torch.nn.functional.relu(out_138, inplace=True)
+        out_138 = None
+        cat_6 = torch.cat([out_139, out_129], 1)
+        out_129 = None
+        x_24 = torch.conv2d(
+            cat_6,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_6 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_25 += out_139
+        x_26 = x_25
+        x_25 = out_139 = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        out_140 = torch.conv2d(
+            x_27,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_141 = torch.nn.functional.batch_norm(
+            out_140,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_140 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_142 = torch.nn.functional.relu(out_141, inplace=True)
+        out_141 = None
+        out_143 = torch.conv2d(
+            out_142,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_142 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_144 = torch.nn.functional.batch_norm(
+            out_143,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_143 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_145 = torch.nn.functional.relu(out_144, inplace=True)
+        out_144 = None
+        out_146 = torch.conv2d(
+            out_145,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_145 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_147 = torch.nn.functional.batch_norm(
+            out_146,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_146 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_147 += x_27
+        out_148 = out_147
+        out_147 = None
+        out_149 = torch.nn.functional.relu(out_148, inplace=True)
+        out_148 = None
+        out_150 = torch.conv2d(
+            out_149,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_151 = torch.nn.functional.batch_norm(
+            out_150,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_150 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_152 = torch.nn.functional.relu(out_151, inplace=True)
+        out_151 = None
+        out_153 = torch.conv2d(
+            out_152,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_152 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_154 = torch.nn.functional.batch_norm(
+            out_153,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_153 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_155 = torch.nn.functional.relu(out_154, inplace=True)
+        out_154 = None
+        out_156 = torch.conv2d(
+            out_155,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_155 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_157 = torch.nn.functional.batch_norm(
+            out_156,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_156 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_157 += out_149
+        out_158 = out_157
+        out_157 = None
+        out_159 = torch.nn.functional.relu(out_158, inplace=True)
+        out_158 = None
+        cat_7 = torch.cat([out_159, out_149, x_27], 1)
+        out_149 = x_27 = None
+        x_28 = torch.conv2d(
+            cat_7,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_7 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_29 += out_159
+        x_30 = x_29
+        x_29 = out_159 = None
+        x_31 = torch.nn.functional.relu(x_30, inplace=True)
+        x_30 = None
+        out_160 = torch.conv2d(
+            x_31,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_161 = torch.nn.functional.batch_norm(
+            out_160,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_160 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_162 = torch.nn.functional.relu(out_161, inplace=True)
+        out_161 = None
+        out_163 = torch.conv2d(
+            out_162,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_162 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_164 = torch.nn.functional.batch_norm(
+            out_163,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_163 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_165 = torch.nn.functional.relu(out_164, inplace=True)
+        out_164 = None
+        out_166 = torch.conv2d(
+            out_165,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_165 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_167 = torch.nn.functional.batch_norm(
+            out_166,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_166 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_167 += x_31
+        out_168 = out_167
+        out_167 = None
+        out_169 = torch.nn.functional.relu(out_168, inplace=True)
+        out_168 = None
+        out_170 = torch.conv2d(
+            out_169,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_171 = torch.nn.functional.batch_norm(
+            out_170,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_170 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_172 = torch.nn.functional.relu(out_171, inplace=True)
+        out_171 = None
+        out_173 = torch.conv2d(
+            out_172,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_172 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_174 = torch.nn.functional.batch_norm(
+            out_173,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_173 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_175 = torch.nn.functional.relu(out_174, inplace=True)
+        out_174 = None
+        out_176 = torch.conv2d(
+            out_175,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_175 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_177 = torch.nn.functional.batch_norm(
+            out_176,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_176 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_177 += out_169
+        out_178 = out_177
+        out_177 = None
+        out_179 = torch.nn.functional.relu(out_178, inplace=True)
+        out_178 = None
+        cat_8 = torch.cat([out_179, out_169], 1)
+        out_169 = None
+        x_32 = torch.conv2d(
+            cat_8,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_8 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_33 += out_179
+        x_34 = x_33
+        x_33 = out_179 = None
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        out_180 = torch.conv2d(
+            x_35,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_181 = torch.nn.functional.batch_norm(
+            out_180,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_180 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_182 = torch.nn.functional.relu(out_181, inplace=True)
+        out_181 = None
+        out_183 = torch.conv2d(
+            out_182,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_182 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_184 = torch.nn.functional.batch_norm(
+            out_183,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_183 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_185 = torch.nn.functional.relu(out_184, inplace=True)
+        out_184 = None
+        out_186 = torch.conv2d(
+            out_185,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_185 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_187 = torch.nn.functional.batch_norm(
+            out_186,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_186 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_187 += x_35
+        out_188 = out_187
+        out_187 = None
+        out_189 = torch.nn.functional.relu(out_188, inplace=True)
+        out_188 = None
+        out_190 = torch.conv2d(
+            out_189,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_191 = torch.nn.functional.batch_norm(
+            out_190,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_190 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_192 = torch.nn.functional.relu(out_191, inplace=True)
+        out_191 = None
+        out_193 = torch.conv2d(
+            out_192,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_192 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_194 = torch.nn.functional.batch_norm(
+            out_193,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_193 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_195 = torch.nn.functional.relu(out_194, inplace=True)
+        out_194 = None
+        out_196 = torch.conv2d(
+            out_195,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_195 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_197 = torch.nn.functional.batch_norm(
+            out_196,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_196 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_197 += out_189
+        out_198 = out_197
+        out_197 = None
+        out_199 = torch.nn.functional.relu(out_198, inplace=True)
+        out_198 = None
+        cat_9 = torch.cat([out_199, out_189, x_31, x_35], 1)
+        out_189 = x_31 = x_35 = None
+        x_36 = torch.conv2d(
+            cat_9,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_9 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_37 += out_199
+        x_38 = x_37
+        x_37 = out_199 = None
+        x_39 = torch.nn.functional.relu(x_38, inplace=True)
+        x_38 = None
+        out_200 = torch.conv2d(
+            x_39,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_201 = torch.nn.functional.batch_norm(
+            out_200,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_200 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_202 = torch.nn.functional.relu(out_201, inplace=True)
+        out_201 = None
+        out_203 = torch.conv2d(
+            out_202,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_202 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_204 = torch.nn.functional.batch_norm(
+            out_203,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_203 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_205 = torch.nn.functional.relu(out_204, inplace=True)
+        out_204 = None
+        out_206 = torch.conv2d(
+            out_205,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_205 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_207 = torch.nn.functional.batch_norm(
+            out_206,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_206 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_207 += x_39
+        out_208 = out_207
+        out_207 = None
+        out_209 = torch.nn.functional.relu(out_208, inplace=True)
+        out_208 = None
+        out_210 = torch.conv2d(
+            out_209,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_211 = torch.nn.functional.batch_norm(
+            out_210,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_210 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_212 = torch.nn.functional.relu(out_211, inplace=True)
+        out_211 = None
+        out_213 = torch.conv2d(
+            out_212,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_212 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_214 = torch.nn.functional.batch_norm(
+            out_213,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_213 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_215 = torch.nn.functional.relu(out_214, inplace=True)
+        out_214 = None
+        out_216 = torch.conv2d(
+            out_215,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_215 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_217 = torch.nn.functional.batch_norm(
+            out_216,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_216 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_217 += out_209
+        out_218 = out_217
+        out_217 = None
+        out_219 = torch.nn.functional.relu(out_218, inplace=True)
+        out_218 = None
+        cat_10 = torch.cat([out_219, out_209], 1)
+        out_209 = None
+        x_40 = torch.conv2d(
+            cat_10,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_10 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_41 += out_219
+        x_42 = x_41
+        x_41 = out_219 = None
+        x_43 = torch.nn.functional.relu(x_42, inplace=True)
+        x_42 = None
+        out_220 = torch.conv2d(
+            x_43,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_221 = torch.nn.functional.batch_norm(
+            out_220,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_220 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_222 = torch.nn.functional.relu(out_221, inplace=True)
+        out_221 = None
+        out_223 = torch.conv2d(
+            out_222,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_222 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_224 = torch.nn.functional.batch_norm(
+            out_223,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_223 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_225 = torch.nn.functional.relu(out_224, inplace=True)
+        out_224 = None
+        out_226 = torch.conv2d(
+            out_225,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_225 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_227 = torch.nn.functional.batch_norm(
+            out_226,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_226 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_227 += x_43
+        out_228 = out_227
+        out_227 = None
+        out_229 = torch.nn.functional.relu(out_228, inplace=True)
+        out_228 = None
+        out_230 = torch.conv2d(
+            out_229,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_231 = torch.nn.functional.batch_norm(
+            out_230,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_230 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_232 = torch.nn.functional.relu(out_231, inplace=True)
+        out_231 = None
+        out_233 = torch.conv2d(
+            out_232,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_232 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_234 = torch.nn.functional.batch_norm(
+            out_233,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_233 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_235 = torch.nn.functional.relu(out_234, inplace=True)
+        out_234 = None
+        out_236 = torch.conv2d(
+            out_235,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_235 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_237 = torch.nn.functional.batch_norm(
+            out_236,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_236 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_237 += out_229
+        out_238 = out_237
+        out_237 = None
+        out_239 = torch.nn.functional.relu(out_238, inplace=True)
+        out_238 = None
+        cat_11 = torch.cat([out_239, out_229, x_43], 1)
+        out_229 = x_43 = None
+        x_44 = torch.conv2d(
+            cat_11,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_11 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_45 += out_239
+        x_46 = x_45
+        x_45 = out_239 = None
+        x_47 = torch.nn.functional.relu(x_46, inplace=True)
+        x_46 = None
+        out_240 = torch.conv2d(
+            x_47,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_241 = torch.nn.functional.batch_norm(
+            out_240,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_240 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_242 = torch.nn.functional.relu(out_241, inplace=True)
+        out_241 = None
+        out_243 = torch.conv2d(
+            out_242,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_242 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_244 = torch.nn.functional.batch_norm(
+            out_243,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_243 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_245 = torch.nn.functional.relu(out_244, inplace=True)
+        out_244 = None
+        out_246 = torch.conv2d(
+            out_245,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_245 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_247 = torch.nn.functional.batch_norm(
+            out_246,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_246 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_247 += x_47
+        out_248 = out_247
+        out_247 = None
+        out_249 = torch.nn.functional.relu(out_248, inplace=True)
+        out_248 = None
+        out_250 = torch.conv2d(
+            out_249,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_251 = torch.nn.functional.batch_norm(
+            out_250,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_250 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_252 = torch.nn.functional.relu(out_251, inplace=True)
+        out_251 = None
+        out_253 = torch.conv2d(
+            out_252,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_252 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_254 = torch.nn.functional.batch_norm(
+            out_253,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_253 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_255 = torch.nn.functional.relu(out_254, inplace=True)
+        out_254 = None
+        out_256 = torch.conv2d(
+            out_255,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_255 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_257 = torch.nn.functional.batch_norm(
+            out_256,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_256 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_257 += out_249
+        out_258 = out_257
+        out_257 = None
+        out_259 = torch.nn.functional.relu(out_258, inplace=True)
+        out_258 = None
+        cat_12 = torch.cat([out_259, out_249], 1)
+        out_249 = None
+        x_48 = torch.conv2d(
+            cat_12,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_12 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_49 += out_259
+        x_50 = x_49
+        x_49 = out_259 = None
+        x_51 = torch.nn.functional.relu(x_50, inplace=True)
+        x_50 = None
+        out_260 = torch.conv2d(
+            x_51,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_261 = torch.nn.functional.batch_norm(
+            out_260,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_260 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_262 = torch.nn.functional.relu(out_261, inplace=True)
+        out_261 = None
+        out_263 = torch.conv2d(
+            out_262,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_262 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_264 = torch.nn.functional.batch_norm(
+            out_263,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_263 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_265 = torch.nn.functional.relu(out_264, inplace=True)
+        out_264 = None
+        out_266 = torch.conv2d(
+            out_265,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_265 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_267 = torch.nn.functional.batch_norm(
+            out_266,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_266 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_267 += x_51
+        out_268 = out_267
+        out_267 = None
+        out_269 = torch.nn.functional.relu(out_268, inplace=True)
+        out_268 = None
+        out_270 = torch.conv2d(
+            out_269,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_271 = torch.nn.functional.batch_norm(
+            out_270,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_270 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_272 = torch.nn.functional.relu(out_271, inplace=True)
+        out_271 = None
+        out_273 = torch.conv2d(
+            out_272,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_272 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_274 = torch.nn.functional.batch_norm(
+            out_273,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_273 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_275 = torch.nn.functional.relu(out_274, inplace=True)
+        out_274 = None
+        out_276 = torch.conv2d(
+            out_275,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_275 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_277 = torch.nn.functional.batch_norm(
+            out_276,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_276 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_277 += out_269
+        out_278 = out_277
+        out_277 = None
+        out_279 = torch.nn.functional.relu(out_278, inplace=True)
+        out_278 = None
+        cat_13 = torch.cat([out_279, out_269, x_39, x_47, x_51], 1)
+        out_269 = x_39 = x_47 = x_51 = None
+        x_52 = torch.conv2d(
+            cat_13,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_13 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_53 += out_279
+        x_54 = x_53
+        x_53 = out_279 = None
+        x_55 = torch.nn.functional.relu(x_54, inplace=True)
+        x_54 = None
+        out_280 = torch.conv2d(
+            x_55,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_281 = torch.nn.functional.batch_norm(
+            out_280,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_280 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_282 = torch.nn.functional.relu(out_281, inplace=True)
+        out_281 = None
+        out_283 = torch.conv2d(
+            out_282,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_282 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_284 = torch.nn.functional.batch_norm(
+            out_283,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_283 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_285 = torch.nn.functional.relu(out_284, inplace=True)
+        out_284 = None
+        out_286 = torch.conv2d(
+            out_285,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_285 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_287 = torch.nn.functional.batch_norm(
+            out_286,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_286 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_287 += x_55
+        out_288 = out_287
+        out_287 = None
+        out_289 = torch.nn.functional.relu(out_288, inplace=True)
+        out_288 = None
+        out_290 = torch.conv2d(
+            out_289,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_291 = torch.nn.functional.batch_norm(
+            out_290,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_290 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_292 = torch.nn.functional.relu(out_291, inplace=True)
+        out_291 = None
+        out_293 = torch.conv2d(
+            out_292,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_292 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_294 = torch.nn.functional.batch_norm(
+            out_293,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_293 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_295 = torch.nn.functional.relu(out_294, inplace=True)
+        out_294 = None
+        out_296 = torch.conv2d(
+            out_295,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_295 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_297 = torch.nn.functional.batch_norm(
+            out_296,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_296 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_297 += out_289
+        out_298 = out_297
+        out_297 = None
+        out_299 = torch.nn.functional.relu(out_298, inplace=True)
+        out_298 = None
+        cat_14 = torch.cat([out_299, out_289], 1)
+        out_289 = None
+        x_56 = torch.conv2d(
+            cat_14,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_14 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_57 += out_299
+        x_58 = x_57
+        x_57 = out_299 = None
+        x_59 = torch.nn.functional.relu(x_58, inplace=True)
+        x_58 = None
+        out_300 = torch.conv2d(
+            x_59,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_301 = torch.nn.functional.batch_norm(
+            out_300,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_300 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_302 = torch.nn.functional.relu(out_301, inplace=True)
+        out_301 = None
+        out_303 = torch.conv2d(
+            out_302,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_302 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_304 = torch.nn.functional.batch_norm(
+            out_303,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_303 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_305 = torch.nn.functional.relu(out_304, inplace=True)
+        out_304 = None
+        out_306 = torch.conv2d(
+            out_305,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_305 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_307 = torch.nn.functional.batch_norm(
+            out_306,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_306 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_307 += x_59
+        out_308 = out_307
+        out_307 = None
+        out_309 = torch.nn.functional.relu(out_308, inplace=True)
+        out_308 = None
+        out_310 = torch.conv2d(
+            out_309,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_311 = torch.nn.functional.batch_norm(
+            out_310,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_310 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_312 = torch.nn.functional.relu(out_311, inplace=True)
+        out_311 = None
+        out_313 = torch.conv2d(
+            out_312,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_312 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_314 = torch.nn.functional.batch_norm(
+            out_313,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_313 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_315 = torch.nn.functional.relu(out_314, inplace=True)
+        out_314 = None
+        out_316 = torch.conv2d(
+            out_315,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_315 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_317 = torch.nn.functional.batch_norm(
+            out_316,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_316 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_317 += out_309
+        out_318 = out_317
+        out_317 = None
+        out_319 = torch.nn.functional.relu(out_318, inplace=True)
+        out_318 = None
+        cat_15 = torch.cat([out_319, out_309, x_59], 1)
+        out_309 = x_59 = None
+        x_60 = torch.conv2d(
+            cat_15,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_15 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_61 += out_319
+        x_62 = x_61
+        x_61 = out_319 = None
+        x_63 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        out_320 = torch.conv2d(
+            x_63,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_321 = torch.nn.functional.batch_norm(
+            out_320,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_320 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_322 = torch.nn.functional.relu(out_321, inplace=True)
+        out_321 = None
+        out_323 = torch.conv2d(
+            out_322,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_322 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_324 = torch.nn.functional.batch_norm(
+            out_323,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_323 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_325 = torch.nn.functional.relu(out_324, inplace=True)
+        out_324 = None
+        out_326 = torch.conv2d(
+            out_325,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_325 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_327 = torch.nn.functional.batch_norm(
+            out_326,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_326 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_327 += x_63
+        out_328 = out_327
+        out_327 = None
+        out_329 = torch.nn.functional.relu(out_328, inplace=True)
+        out_328 = None
+        out_330 = torch.conv2d(
+            out_329,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_331 = torch.nn.functional.batch_norm(
+            out_330,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_330 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_332 = torch.nn.functional.relu(out_331, inplace=True)
+        out_331 = None
+        out_333 = torch.conv2d(
+            out_332,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_332 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_334 = torch.nn.functional.batch_norm(
+            out_333,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_333 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_335 = torch.nn.functional.relu(out_334, inplace=True)
+        out_334 = None
+        out_336 = torch.conv2d(
+            out_335,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_335 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_337 = torch.nn.functional.batch_norm(
+            out_336,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_336 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_337 += out_329
+        out_338 = out_337
+        out_337 = None
+        out_339 = torch.nn.functional.relu(out_338, inplace=True)
+        out_338 = None
+        cat_16 = torch.cat([out_339, out_329], 1)
+        out_329 = None
+        x_64 = torch.conv2d(
+            cat_16,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_16 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_65 += out_339
+        x_66 = x_65
+        x_65 = out_339 = None
+        x_67 = torch.nn.functional.relu(x_66, inplace=True)
+        x_66 = None
+        out_340 = torch.conv2d(
+            x_67,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_341 = torch.nn.functional.batch_norm(
+            out_340,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_340 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_342 = torch.nn.functional.relu(out_341, inplace=True)
+        out_341 = None
+        out_343 = torch.conv2d(
+            out_342,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_342 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_344 = torch.nn.functional.batch_norm(
+            out_343,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_343 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_345 = torch.nn.functional.relu(out_344, inplace=True)
+        out_344 = None
+        out_346 = torch.conv2d(
+            out_345,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_345 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_347 = torch.nn.functional.batch_norm(
+            out_346,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_346 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_347 += x_67
+        out_348 = out_347
+        out_347 = None
+        out_349 = torch.nn.functional.relu(out_348, inplace=True)
+        out_348 = None
+        out_350 = torch.conv2d(
+            out_349,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_351 = torch.nn.functional.batch_norm(
+            out_350,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_350 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_352 = torch.nn.functional.relu(out_351, inplace=True)
+        out_351 = None
+        out_353 = torch.conv2d(
+            out_352,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_352 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_354 = torch.nn.functional.batch_norm(
+            out_353,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_353 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_355 = torch.nn.functional.relu(out_354, inplace=True)
+        out_354 = None
+        out_356 = torch.conv2d(
+            out_355,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_355 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_357 = torch.nn.functional.batch_norm(
+            out_356,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_356 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_357 += out_349
+        out_358 = out_357
+        out_357 = None
+        out_359 = torch.nn.functional.relu(out_358, inplace=True)
+        out_358 = None
+        cat_17 = torch.cat([out_359, out_349, x_63, x_67], 1)
+        out_349 = x_63 = x_67 = None
+        x_68 = torch.conv2d(
+            cat_17,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_17 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_69 += out_359
+        x_70 = x_69
+        x_69 = out_359 = None
+        x_71 = torch.nn.functional.relu(x_70, inplace=True)
+        x_70 = None
+        out_360 = torch.conv2d(
+            x_71,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_361 = torch.nn.functional.batch_norm(
+            out_360,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_360 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_362 = torch.nn.functional.relu(out_361, inplace=True)
+        out_361 = None
+        out_363 = torch.conv2d(
+            out_362,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_362 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_364 = torch.nn.functional.batch_norm(
+            out_363,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_363 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_365 = torch.nn.functional.relu(out_364, inplace=True)
+        out_364 = None
+        out_366 = torch.conv2d(
+            out_365,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_365 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_367 = torch.nn.functional.batch_norm(
+            out_366,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_366 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_367 += x_71
+        out_368 = out_367
+        out_367 = None
+        out_369 = torch.nn.functional.relu(out_368, inplace=True)
+        out_368 = None
+        out_370 = torch.conv2d(
+            out_369,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_371 = torch.nn.functional.batch_norm(
+            out_370,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_370 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_372 = torch.nn.functional.relu(out_371, inplace=True)
+        out_371 = None
+        out_373 = torch.conv2d(
+            out_372,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_372 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_374 = torch.nn.functional.batch_norm(
+            out_373,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_373 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_375 = torch.nn.functional.relu(out_374, inplace=True)
+        out_374 = None
+        out_376 = torch.conv2d(
+            out_375,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_375 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_377 = torch.nn.functional.batch_norm(
+            out_376,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_376 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_377 += out_369
+        out_378 = out_377
+        out_377 = None
+        out_379 = torch.nn.functional.relu(out_378, inplace=True)
+        out_378 = None
+        cat_18 = torch.cat([out_379, out_369], 1)
+        out_369 = None
+        x_72 = torch.conv2d(
+            cat_18,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_18 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_73 += out_379
+        x_74 = x_73
+        x_73 = out_379 = None
+        x_75 = torch.nn.functional.relu(x_74, inplace=True)
+        x_74 = None
+        out_380 = torch.conv2d(
+            x_75,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_381 = torch.nn.functional.batch_norm(
+            out_380,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_380 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_382 = torch.nn.functional.relu(out_381, inplace=True)
+        out_381 = None
+        out_383 = torch.conv2d(
+            out_382,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_382 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_384 = torch.nn.functional.batch_norm(
+            out_383,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_383 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_385 = torch.nn.functional.relu(out_384, inplace=True)
+        out_384 = None
+        out_386 = torch.conv2d(
+            out_385,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_385 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_387 = torch.nn.functional.batch_norm(
+            out_386,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_386 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_387 += x_75
+        out_388 = out_387
+        out_387 = None
+        out_389 = torch.nn.functional.relu(out_388, inplace=True)
+        out_388 = None
+        out_390 = torch.conv2d(
+            out_389,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_391 = torch.nn.functional.batch_norm(
+            out_390,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_390 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_392 = torch.nn.functional.relu(out_391, inplace=True)
+        out_391 = None
+        out_393 = torch.conv2d(
+            out_392,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_392 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_394 = torch.nn.functional.batch_norm(
+            out_393,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_393 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_395 = torch.nn.functional.relu(out_394, inplace=True)
+        out_394 = None
+        out_396 = torch.conv2d(
+            out_395,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_395 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_397 = torch.nn.functional.batch_norm(
+            out_396,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_396 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_397 += out_389
+        out_398 = out_397
+        out_397 = None
+        out_399 = torch.nn.functional.relu(out_398, inplace=True)
+        out_398 = None
+        cat_19 = torch.cat([out_399, out_389, x_75], 1)
+        out_389 = x_75 = None
+        x_76 = torch.conv2d(
+            cat_19,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_19 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_77 += out_399
+        x_78 = x_77
+        x_77 = out_399 = None
+        x_79 = torch.nn.functional.relu(x_78, inplace=True)
+        x_78 = None
+        out_400 = torch.conv2d(
+            x_79,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_401 = torch.nn.functional.batch_norm(
+            out_400,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_400 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_402 = torch.nn.functional.relu(out_401, inplace=True)
+        out_401 = None
+        out_403 = torch.conv2d(
+            out_402,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_402 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_404 = torch.nn.functional.batch_norm(
+            out_403,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_403 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_405 = torch.nn.functional.relu(out_404, inplace=True)
+        out_404 = None
+        out_406 = torch.conv2d(
+            out_405,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_405 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_407 = torch.nn.functional.batch_norm(
+            out_406,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_406 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_407 += x_79
+        out_408 = out_407
+        out_407 = None
+        out_409 = torch.nn.functional.relu(out_408, inplace=True)
+        out_408 = None
+        out_410 = torch.conv2d(
+            out_409,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_411 = torch.nn.functional.batch_norm(
+            out_410,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_410 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_412 = torch.nn.functional.relu(out_411, inplace=True)
+        out_411 = None
+        out_413 = torch.conv2d(
+            out_412,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_412 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_414 = torch.nn.functional.batch_norm(
+            out_413,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_413 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_415 = torch.nn.functional.relu(out_414, inplace=True)
+        out_414 = None
+        out_416 = torch.conv2d(
+            out_415,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_415 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_417 = torch.nn.functional.batch_norm(
+            out_416,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_416 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_417 += out_409
+        out_418 = out_417
+        out_417 = None
+        out_419 = torch.nn.functional.relu(out_418, inplace=True)
+        out_418 = None
+        cat_20 = torch.cat([out_419, out_409], 1)
+        out_409 = None
+        x_80 = torch.conv2d(
+            cat_20,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_20 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_81 += out_419
+        x_82 = x_81
+        x_81 = out_419 = None
+        x_83 = torch.nn.functional.relu(x_82, inplace=True)
+        x_82 = None
+        out_420 = torch.conv2d(
+            x_83,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_421 = torch.nn.functional.batch_norm(
+            out_420,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_420 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_422 = torch.nn.functional.relu(out_421, inplace=True)
+        out_421 = None
+        out_423 = torch.conv2d(
+            out_422,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_422 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_424 = torch.nn.functional.batch_norm(
+            out_423,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_423 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_425 = torch.nn.functional.relu(out_424, inplace=True)
+        out_424 = None
+        out_426 = torch.conv2d(
+            out_425,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_425 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_427 = torch.nn.functional.batch_norm(
+            out_426,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_426 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_427 += x_83
+        out_428 = out_427
+        out_427 = None
+        out_429 = torch.nn.functional.relu(out_428, inplace=True)
+        out_428 = None
+        out_430 = torch.conv2d(
+            out_429,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_431 = torch.nn.functional.batch_norm(
+            out_430,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_430 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_432 = torch.nn.functional.relu(out_431, inplace=True)
+        out_431 = None
+        out_433 = torch.conv2d(
+            out_432,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_432 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_434 = torch.nn.functional.batch_norm(
+            out_433,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_433 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_435 = torch.nn.functional.relu(out_434, inplace=True)
+        out_434 = None
+        out_436 = torch.conv2d(
+            out_435,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_435 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_437 = torch.nn.functional.batch_norm(
+            out_436,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_436 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_437 += out_429
+        out_438 = out_437
+        out_437 = None
+        out_439 = torch.nn.functional.relu(out_438, inplace=True)
+        out_438 = None
+        cat_21 = torch.cat([out_439, out_429, bottom_5, x_55, x_71, x_79, x_83], 1)
+        out_429 = bottom_5 = x_55 = x_71 = x_79 = x_83 = None
+        x_84 = torch.conv2d(
+            cat_21,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_21 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_85 += out_439
+        x_86 = x_85
+        x_85 = out_439 = None
+        x_87 = torch.nn.functional.relu(x_86, inplace=True)
+        x_86 = None
+        bottom_10 = torch.nn.functional.max_pool2d(
+            x_87, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_16 = torch.conv2d(
+            bottom_10,
+            l_self_modules_level5_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = None
+        input_17 = torch.nn.functional.batch_norm(
+            input_16,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level5_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_16 = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level5_modules_project_modules_1_parameters_bias_ = None
+        out_440 = torch.conv2d(
+            x_87,
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_87 = (
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_441 = torch.nn.functional.batch_norm(
+            out_440,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_440 = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_442 = torch.nn.functional.relu(out_441, inplace=True)
+        out_441 = None
+        out_443 = torch.conv2d(
+            out_442,
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_442 = (
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_444 = torch.nn.functional.batch_norm(
+            out_443,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_443 = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_445 = torch.nn.functional.relu(out_444, inplace=True)
+        out_444 = None
+        out_446 = torch.conv2d(
+            out_445,
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_445 = (
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_447 = torch.nn.functional.batch_norm(
+            out_446,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_446 = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_447 += input_17
+        out_448 = out_447
+        out_447 = input_17 = None
+        out_449 = torch.nn.functional.relu(out_448, inplace=True)
+        out_448 = None
+        out_450 = torch.conv2d(
+            out_449,
+            l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_451 = torch.nn.functional.batch_norm(
+            out_450,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_450 = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_452 = torch.nn.functional.relu(out_451, inplace=True)
+        out_451 = None
+        out_453 = torch.conv2d(
+            out_452,
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_452 = (
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_454 = torch.nn.functional.batch_norm(
+            out_453,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_453 = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_455 = torch.nn.functional.relu(out_454, inplace=True)
+        out_454 = None
+        out_456 = torch.conv2d(
+            out_455,
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_455 = (
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_457 = torch.nn.functional.batch_norm(
+            out_456,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_456 = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_457 += out_449
+        out_458 = out_457
+        out_457 = None
+        out_459 = torch.nn.functional.relu(out_458, inplace=True)
+        out_458 = None
+        cat_22 = torch.cat([out_459, out_449, bottom_10], 1)
+        out_449 = bottom_10 = None
+        x_88 = torch.conv2d(
+            cat_22,
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_22 = (
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        ) = None
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = None
+        x_89 += out_459
+        x_90 = x_89
+        x_89 = out_459 = None
+        x_91 = torch.nn.functional.relu(x_90, inplace=True)
+        x_90 = None
+        x_92 = torch.nn.functional.adaptive_avg_pool2d(x_91, 1)
+        x_91 = None
+        x_93 = torch.nn.functional.dropout(x_92, 0.0, False, False)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_93 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        x_95 = x_94.flatten(1, -1)
+        x_94 = None
+        return (x_95,)
diff --git a/samples/timm/dla169.in1k/weight_meta.py b/samples/timm/dla169.in1k/weight_meta.py
new file mode 100644
index 000000000..4af3a0235
--- /dev/null
+++ b/samples/timm/dla169.in1k/weight_meta.py
@@ -0,0 +1,8472 @@
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_0_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_0_parameters_weight_"
+    shape = [16, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.228
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_mean_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_var_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_bias_:
+    name = "L_self_modules_base_layer_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_0_parameters_weight_:
+    name = "L_self_modules_level0_modules_0_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.119
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level0_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_var_:
+    name = "L_self_modules_level0_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_weight_:
+    name = "L_self_modules_level0_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_bias_:
+    name = "L_self_modules_level0_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_0_parameters_weight_:
+    name = "L_self_modules_level1_modules_0_parameters_weight_"
+    shape = [32, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.085
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_var_:
+    name = "L_self_modules_level1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_weight_:
+    name = "L_self_modules_level1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_bias_:
+    name = "L_self_modules_level1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [128, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree1_modules_project_modules_1_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 2560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 3328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_conv_parameters_weight_"
+    shape = [1024, 2560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
diff --git a/samples/timm/dla46_c.in1k/graph_hash.txt b/samples/timm/dla46_c.in1k/graph_hash.txt
new file mode 100644
index 000000000..ec82a1354
--- /dev/null
+++ b/samples/timm/dla46_c.in1k/graph_hash.txt
@@ -0,0 +1 @@
+5d463d223d5304d663613d0fb55ba1351263108431568dae7e1b713a03f49e5e
\ No newline at end of file
diff --git a/samples/timm/dla46_c.in1k/graph_net.json b/samples/timm/dla46_c.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dla46_c.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dla46_c.in1k/input_meta.py b/samples/timm/dla46_c.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla46_c.in1k/input_tensor_constraints.py b/samples/timm/dla46_c.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla46_c.in1k/model.py b/samples/timm/dla46_c.in1k/model.py
new file mode 100644
index 000000000..f6e8a9818
--- /dev/null
+++ b/samples/timm/dla46_c.in1k/model.py
@@ -0,0 +1,2033 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_base_layer_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_base_layer_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_base_layer_modules_0_parameters_weight_ = (
+            L_self_modules_base_layer_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_base_layer_modules_1_buffers_running_mean_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_mean_
+        )
+        l_self_modules_base_layer_modules_1_buffers_running_var_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_var_
+        )
+        l_self_modules_base_layer_modules_1_parameters_weight_ = (
+            L_self_modules_base_layer_modules_1_parameters_weight_
+        )
+        l_self_modules_base_layer_modules_1_parameters_bias_ = (
+            L_self_modules_base_layer_modules_1_parameters_bias_
+        )
+        l_self_modules_level0_modules_0_parameters_weight_ = (
+            L_self_modules_level0_modules_0_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_buffers_running_mean_ = (
+            L_self_modules_level0_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level0_modules_1_buffers_running_var_ = (
+            L_self_modules_level0_modules_1_buffers_running_var_
+        )
+        l_self_modules_level0_modules_1_parameters_weight_ = (
+            L_self_modules_level0_modules_1_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_parameters_bias_ = (
+            L_self_modules_level0_modules_1_parameters_bias_
+        )
+        l_self_modules_level1_modules_0_parameters_weight_ = (
+            L_self_modules_level1_modules_0_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_buffers_running_mean_ = (
+            L_self_modules_level1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level1_modules_1_buffers_running_var_ = (
+            L_self_modules_level1_modules_1_buffers_running_var_
+        )
+        l_self_modules_level1_modules_1_parameters_weight_ = (
+            L_self_modules_level1_modules_1_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_parameters_bias_ = (
+            L_self_modules_level1_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_base_layer_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_base_layer_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_base_layer_modules_1_buffers_running_mean_,
+            l_self_modules_base_layer_modules_1_buffers_running_var_,
+            l_self_modules_base_layer_modules_1_parameters_weight_,
+            l_self_modules_base_layer_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_base_layer_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_base_layer_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_base_layer_modules_1_parameters_weight_
+        ) = l_self_modules_base_layer_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_level0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_level0_modules_0_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_level0_modules_1_buffers_running_mean_,
+            l_self_modules_level0_modules_1_buffers_running_var_,
+            l_self_modules_level0_modules_1_parameters_weight_,
+            l_self_modules_level0_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_level0_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level0_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level0_modules_1_parameters_weight_
+        ) = l_self_modules_level0_modules_1_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_level1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_level1_modules_0_parameters_weight_ = None
+        input_8 = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_level1_modules_1_buffers_running_mean_,
+            l_self_modules_level1_modules_1_buffers_running_var_,
+            l_self_modules_level1_modules_1_parameters_weight_,
+            l_self_modules_level1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_level1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level1_modules_1_parameters_weight_
+        ) = l_self_modules_level1_modules_1_parameters_bias_ = None
+        input_9 = torch.nn.functional.relu(input_8, inplace=True)
+        input_8 = None
+        bottom = torch.nn.functional.max_pool2d(
+            input_9, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_10 = torch.conv2d(
+            bottom,
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom = (
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_
+        ) = None
+        input_11 = torch.nn.functional.batch_norm(
+            input_10,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level2_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_10 = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level2_modules_project_modules_1_parameters_bias_ = None
+        out = torch.conv2d(
+            input_9,
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = (
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_1 = torch.nn.functional.batch_norm(
+            out,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_2 = torch.nn.functional.relu(out_1, inplace=True)
+        out_1 = None
+        out_3 = torch.conv2d(
+            out_2,
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_2 = (
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_4 = torch.nn.functional.batch_norm(
+            out_3,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_3 = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_5 = torch.nn.functional.relu(out_4, inplace=True)
+        out_4 = None
+        out_6 = torch.conv2d(
+            out_5,
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_5 = (
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_7 = torch.nn.functional.batch_norm(
+            out_6,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_6 = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_7 += input_11
+        out_8 = out_7
+        out_7 = input_11 = None
+        out_9 = torch.nn.functional.relu(out_8, inplace=True)
+        out_8 = None
+        out_10 = torch.conv2d(
+            out_9,
+            l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_11 = torch.nn.functional.batch_norm(
+            out_10,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_10 = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_12 = torch.nn.functional.relu(out_11, inplace=True)
+        out_11 = None
+        out_13 = torch.conv2d(
+            out_12,
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_12 = (
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_14 = torch.nn.functional.batch_norm(
+            out_13,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_13 = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_15 = torch.nn.functional.relu(out_14, inplace=True)
+        out_14 = None
+        out_16 = torch.conv2d(
+            out_15,
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_15 = (
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_17 = torch.nn.functional.batch_norm(
+            out_16,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_16 = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_17 += out_9
+        out_18 = out_17
+        out_17 = None
+        out_19 = torch.nn.functional.relu(out_18, inplace=True)
+        out_18 = None
+        cat = torch.cat([out_19, out_9], 1)
+        out_19 = out_9 = None
+        x = torch.conv2d(
+            cat,
+            l_self_modules_level2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat = l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        bottom_1 = torch.nn.functional.max_pool2d(
+            x_2, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_2 = torch.nn.functional.max_pool2d(
+            x_2, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        out_20 = torch.conv2d(
+            x_2,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_21 = torch.nn.functional.batch_norm(
+            out_20,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_20 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_22 = torch.nn.functional.relu(out_21, inplace=True)
+        out_21 = None
+        out_23 = torch.conv2d(
+            out_22,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_22 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_24 = torch.nn.functional.batch_norm(
+            out_23,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_23 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_25 = torch.nn.functional.relu(out_24, inplace=True)
+        out_24 = None
+        out_26 = torch.conv2d(
+            out_25,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_25 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_27 = torch.nn.functional.batch_norm(
+            out_26,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_26 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_27 += bottom_2
+        out_28 = out_27
+        out_27 = bottom_2 = None
+        out_29 = torch.nn.functional.relu(out_28, inplace=True)
+        out_28 = None
+        out_30 = torch.conv2d(
+            out_29,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_31 = torch.nn.functional.batch_norm(
+            out_30,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_30 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_32 = torch.nn.functional.relu(out_31, inplace=True)
+        out_31 = None
+        out_33 = torch.conv2d(
+            out_32,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_32 = l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_34 = torch.nn.functional.batch_norm(
+            out_33,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_33 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_35 = torch.nn.functional.relu(out_34, inplace=True)
+        out_34 = None
+        out_36 = torch.conv2d(
+            out_35,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_35 = l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_37 = torch.nn.functional.batch_norm(
+            out_36,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_36 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_37 += out_29
+        out_38 = out_37
+        out_37 = None
+        out_39 = torch.nn.functional.relu(out_38, inplace=True)
+        out_38 = None
+        cat_1 = torch.cat([out_39, out_29], 1)
+        out_39 = out_29 = None
+        x_3 = torch.conv2d(
+            cat_1,
+            l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_1 = l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        out_40 = torch.conv2d(
+            x_5,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_41 = torch.nn.functional.batch_norm(
+            out_40,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_40 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_42 = torch.nn.functional.relu(out_41, inplace=True)
+        out_41 = None
+        out_43 = torch.conv2d(
+            out_42,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_42 = l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_44 = torch.nn.functional.batch_norm(
+            out_43,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_43 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_45 = torch.nn.functional.relu(out_44, inplace=True)
+        out_44 = None
+        out_46 = torch.conv2d(
+            out_45,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_45 = l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_47 = torch.nn.functional.batch_norm(
+            out_46,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_46 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_47 += x_5
+        out_48 = out_47
+        out_47 = None
+        out_49 = torch.nn.functional.relu(out_48, inplace=True)
+        out_48 = None
+        out_50 = torch.conv2d(
+            out_49,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_51 = torch.nn.functional.batch_norm(
+            out_50,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_50 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_52 = torch.nn.functional.relu(out_51, inplace=True)
+        out_51 = None
+        out_53 = torch.conv2d(
+            out_52,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_52 = l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_54 = torch.nn.functional.batch_norm(
+            out_53,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_53 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_55 = torch.nn.functional.relu(out_54, inplace=True)
+        out_54 = None
+        out_56 = torch.conv2d(
+            out_55,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_55 = l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_57 = torch.nn.functional.batch_norm(
+            out_56,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_56 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_57 += out_49
+        out_58 = out_57
+        out_57 = None
+        out_59 = torch.nn.functional.relu(out_58, inplace=True)
+        out_58 = None
+        cat_2 = torch.cat([out_59, out_49, bottom_1, x_5], 1)
+        out_59 = out_49 = bottom_1 = x_5 = None
+        x_6 = torch.conv2d(
+            cat_2,
+            l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_2 = l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        bottom_3 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_4 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_12 = torch.conv2d(
+            bottom_4,
+            l_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_4 = l_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_13 = torch.nn.functional.batch_norm(
+            input_12,
+            l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_12 = l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_60 = torch.conv2d(
+            x_8,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_61 = torch.nn.functional.batch_norm(
+            out_60,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_60 = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_62 = torch.nn.functional.relu(out_61, inplace=True)
+        out_61 = None
+        out_63 = torch.conv2d(
+            out_62,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_62 = l_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_64 = torch.nn.functional.batch_norm(
+            out_63,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_63 = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_65 = torch.nn.functional.relu(out_64, inplace=True)
+        out_64 = None
+        out_66 = torch.conv2d(
+            out_65,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_65 = l_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_67 = torch.nn.functional.batch_norm(
+            out_66,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_66 = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_67 += input_13
+        out_68 = out_67
+        out_67 = input_13 = None
+        out_69 = torch.nn.functional.relu(out_68, inplace=True)
+        out_68 = None
+        out_70 = torch.conv2d(
+            out_69,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_71 = torch.nn.functional.batch_norm(
+            out_70,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_70 = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_72 = torch.nn.functional.relu(out_71, inplace=True)
+        out_71 = None
+        out_73 = torch.conv2d(
+            out_72,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_72 = l_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_74 = torch.nn.functional.batch_norm(
+            out_73,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_73 = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_75 = torch.nn.functional.relu(out_74, inplace=True)
+        out_74 = None
+        out_76 = torch.conv2d(
+            out_75,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_75 = l_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_77 = torch.nn.functional.batch_norm(
+            out_76,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_76 = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_77 += out_69
+        out_78 = out_77
+        out_77 = None
+        out_79 = torch.nn.functional.relu(out_78, inplace=True)
+        out_78 = None
+        cat_3 = torch.cat([out_79, out_69], 1)
+        out_79 = out_69 = None
+        x_9 = torch.conv2d(
+            cat_3,
+            l_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_3 = l_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        out_80 = torch.conv2d(
+            x_11,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_81 = torch.nn.functional.batch_norm(
+            out_80,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_80 = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_82 = torch.nn.functional.relu(out_81, inplace=True)
+        out_81 = None
+        out_83 = torch.conv2d(
+            out_82,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_82 = l_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_84 = torch.nn.functional.batch_norm(
+            out_83,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_83 = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_85 = torch.nn.functional.relu(out_84, inplace=True)
+        out_84 = None
+        out_86 = torch.conv2d(
+            out_85,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_85 = l_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_87 = torch.nn.functional.batch_norm(
+            out_86,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_86 = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_87 += x_11
+        out_88 = out_87
+        out_87 = None
+        out_89 = torch.nn.functional.relu(out_88, inplace=True)
+        out_88 = None
+        out_90 = torch.conv2d(
+            out_89,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_91 = torch.nn.functional.batch_norm(
+            out_90,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_90 = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_92 = torch.nn.functional.relu(out_91, inplace=True)
+        out_91 = None
+        out_93 = torch.conv2d(
+            out_92,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_92 = l_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_94 = torch.nn.functional.batch_norm(
+            out_93,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_93 = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_95 = torch.nn.functional.relu(out_94, inplace=True)
+        out_94 = None
+        out_96 = torch.conv2d(
+            out_95,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_95 = l_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_97 = torch.nn.functional.batch_norm(
+            out_96,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_96 = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_97 += out_89
+        out_98 = out_97
+        out_97 = None
+        out_99 = torch.nn.functional.relu(out_98, inplace=True)
+        out_98 = None
+        cat_4 = torch.cat([out_99, out_89, bottom_3, x_11], 1)
+        out_99 = out_89 = bottom_3 = x_11 = None
+        x_12 = torch.conv2d(
+            cat_4,
+            l_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_4 = l_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        bottom_5 = torch.nn.functional.max_pool2d(
+            x_14, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_14 = torch.conv2d(
+            bottom_5,
+            l_self_modules_level5_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = None
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level5_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level5_modules_project_modules_1_parameters_bias_ = None
+        out_100 = torch.conv2d(
+            x_14,
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = (
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_101 = torch.nn.functional.batch_norm(
+            out_100,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_100 = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_102 = torch.nn.functional.relu(out_101, inplace=True)
+        out_101 = None
+        out_103 = torch.conv2d(
+            out_102,
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_102 = (
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_104 = torch.nn.functional.batch_norm(
+            out_103,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_103 = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_105 = torch.nn.functional.relu(out_104, inplace=True)
+        out_104 = None
+        out_106 = torch.conv2d(
+            out_105,
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_105 = (
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_107 = torch.nn.functional.batch_norm(
+            out_106,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_106 = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_107 += input_15
+        out_108 = out_107
+        out_107 = input_15 = None
+        out_109 = torch.nn.functional.relu(out_108, inplace=True)
+        out_108 = None
+        out_110 = torch.conv2d(
+            out_109,
+            l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_111 = torch.nn.functional.batch_norm(
+            out_110,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_110 = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_112 = torch.nn.functional.relu(out_111, inplace=True)
+        out_111 = None
+        out_113 = torch.conv2d(
+            out_112,
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_112 = (
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_114 = torch.nn.functional.batch_norm(
+            out_113,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_113 = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_115 = torch.nn.functional.relu(out_114, inplace=True)
+        out_114 = None
+        out_116 = torch.conv2d(
+            out_115,
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_115 = (
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_117 = torch.nn.functional.batch_norm(
+            out_116,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_116 = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_117 += out_109
+        out_118 = out_117
+        out_117 = None
+        out_119 = torch.nn.functional.relu(out_118, inplace=True)
+        out_118 = None
+        cat_5 = torch.cat([out_119, out_109, bottom_5], 1)
+        out_119 = out_109 = bottom_5 = None
+        x_15 = torch.conv2d(
+            cat_5,
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_5 = (
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        ) = None
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = None
+        x_17 = torch.nn.functional.relu(x_16, inplace=True)
+        x_16 = None
+        x_18 = torch.nn.functional.adaptive_avg_pool2d(x_17, 1)
+        x_17 = None
+        x_19 = torch.nn.functional.dropout(x_18, 0.0, False, False)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        x_21 = x_20.flatten(1, -1)
+        x_20 = None
+        return (x_21,)
diff --git a/samples/timm/dla46_c.in1k/weight_meta.py b/samples/timm/dla46_c.in1k/weight_meta.py
new file mode 100644
index 000000000..868390a9a
--- /dev/null
+++ b/samples/timm/dla46_c.in1k/weight_meta.py
@@ -0,0 +1,2504 @@
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_0_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_0_parameters_weight_"
+    shape = [16, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_mean_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_var_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_bias_:
+    name = "L_self_modules_base_layer_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_0_parameters_weight_:
+    name = "L_self_modules_level0_modules_0_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level0_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_var_:
+    name = "L_self_modules_level0_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_weight_:
+    name = "L_self_modules_level0_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_bias_:
+    name = "L_self_modules_level0_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_0_parameters_weight_:
+    name = "L_self_modules_level1_modules_0_parameters_weight_"
+    shape = [32, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_var_:
+    name = "L_self_modules_level1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_weight_:
+    name = "L_self_modules_level1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_bias_:
+    name = "L_self_modules_level1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_0_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [32, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.183
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [32, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.245
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.179
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_conv_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [32, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.247
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.173
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [32, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.180
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.174
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [32, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.181
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [32, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.254
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.179
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.174
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
diff --git a/samples/timm/dla46x_c.in1k/graph_hash.txt b/samples/timm/dla46x_c.in1k/graph_hash.txt
new file mode 100644
index 000000000..9b8b20697
--- /dev/null
+++ b/samples/timm/dla46x_c.in1k/graph_hash.txt
@@ -0,0 +1 @@
+99301678de447c7b36dde33d62c9efd504cd4d9d815af8f7022626af4b21511f
\ No newline at end of file
diff --git a/samples/timm/dla46x_c.in1k/graph_net.json b/samples/timm/dla46x_c.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dla46x_c.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dla46x_c.in1k/input_meta.py b/samples/timm/dla46x_c.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla46x_c.in1k/input_tensor_constraints.py b/samples/timm/dla46x_c.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla46x_c.in1k/model.py b/samples/timm/dla46x_c.in1k/model.py
new file mode 100644
index 000000000..87f50474e
--- /dev/null
+++ b/samples/timm/dla46x_c.in1k/model.py
@@ -0,0 +1,2033 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_base_layer_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_base_layer_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_base_layer_modules_0_parameters_weight_ = (
+            L_self_modules_base_layer_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_base_layer_modules_1_buffers_running_mean_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_mean_
+        )
+        l_self_modules_base_layer_modules_1_buffers_running_var_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_var_
+        )
+        l_self_modules_base_layer_modules_1_parameters_weight_ = (
+            L_self_modules_base_layer_modules_1_parameters_weight_
+        )
+        l_self_modules_base_layer_modules_1_parameters_bias_ = (
+            L_self_modules_base_layer_modules_1_parameters_bias_
+        )
+        l_self_modules_level0_modules_0_parameters_weight_ = (
+            L_self_modules_level0_modules_0_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_buffers_running_mean_ = (
+            L_self_modules_level0_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level0_modules_1_buffers_running_var_ = (
+            L_self_modules_level0_modules_1_buffers_running_var_
+        )
+        l_self_modules_level0_modules_1_parameters_weight_ = (
+            L_self_modules_level0_modules_1_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_parameters_bias_ = (
+            L_self_modules_level0_modules_1_parameters_bias_
+        )
+        l_self_modules_level1_modules_0_parameters_weight_ = (
+            L_self_modules_level1_modules_0_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_buffers_running_mean_ = (
+            L_self_modules_level1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level1_modules_1_buffers_running_var_ = (
+            L_self_modules_level1_modules_1_buffers_running_var_
+        )
+        l_self_modules_level1_modules_1_parameters_weight_ = (
+            L_self_modules_level1_modules_1_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_parameters_bias_ = (
+            L_self_modules_level1_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_base_layer_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_base_layer_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_base_layer_modules_1_buffers_running_mean_,
+            l_self_modules_base_layer_modules_1_buffers_running_var_,
+            l_self_modules_base_layer_modules_1_parameters_weight_,
+            l_self_modules_base_layer_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_base_layer_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_base_layer_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_base_layer_modules_1_parameters_weight_
+        ) = l_self_modules_base_layer_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_level0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_level0_modules_0_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_level0_modules_1_buffers_running_mean_,
+            l_self_modules_level0_modules_1_buffers_running_var_,
+            l_self_modules_level0_modules_1_parameters_weight_,
+            l_self_modules_level0_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_level0_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level0_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level0_modules_1_parameters_weight_
+        ) = l_self_modules_level0_modules_1_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_level1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_level1_modules_0_parameters_weight_ = None
+        input_8 = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_level1_modules_1_buffers_running_mean_,
+            l_self_modules_level1_modules_1_buffers_running_var_,
+            l_self_modules_level1_modules_1_parameters_weight_,
+            l_self_modules_level1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_level1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level1_modules_1_parameters_weight_
+        ) = l_self_modules_level1_modules_1_parameters_bias_ = None
+        input_9 = torch.nn.functional.relu(input_8, inplace=True)
+        input_8 = None
+        bottom = torch.nn.functional.max_pool2d(
+            input_9, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_10 = torch.conv2d(
+            bottom,
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom = (
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_
+        ) = None
+        input_11 = torch.nn.functional.batch_norm(
+            input_10,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level2_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_10 = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level2_modules_project_modules_1_parameters_bias_ = None
+        out = torch.conv2d(
+            input_9,
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = (
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_1 = torch.nn.functional.batch_norm(
+            out,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_2 = torch.nn.functional.relu(out_1, inplace=True)
+        out_1 = None
+        out_3 = torch.conv2d(
+            out_2,
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_2 = (
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_4 = torch.nn.functional.batch_norm(
+            out_3,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_3 = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_5 = torch.nn.functional.relu(out_4, inplace=True)
+        out_4 = None
+        out_6 = torch.conv2d(
+            out_5,
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_5 = (
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_7 = torch.nn.functional.batch_norm(
+            out_6,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_6 = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_7 += input_11
+        out_8 = out_7
+        out_7 = input_11 = None
+        out_9 = torch.nn.functional.relu(out_8, inplace=True)
+        out_8 = None
+        out_10 = torch.conv2d(
+            out_9,
+            l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_11 = torch.nn.functional.batch_norm(
+            out_10,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_10 = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_12 = torch.nn.functional.relu(out_11, inplace=True)
+        out_11 = None
+        out_13 = torch.conv2d(
+            out_12,
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_12 = (
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_14 = torch.nn.functional.batch_norm(
+            out_13,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_13 = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_15 = torch.nn.functional.relu(out_14, inplace=True)
+        out_14 = None
+        out_16 = torch.conv2d(
+            out_15,
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_15 = (
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_17 = torch.nn.functional.batch_norm(
+            out_16,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_16 = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_17 += out_9
+        out_18 = out_17
+        out_17 = None
+        out_19 = torch.nn.functional.relu(out_18, inplace=True)
+        out_18 = None
+        cat = torch.cat([out_19, out_9], 1)
+        out_19 = out_9 = None
+        x = torch.conv2d(
+            cat,
+            l_self_modules_level2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat = l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        bottom_1 = torch.nn.functional.max_pool2d(
+            x_2, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_2 = torch.nn.functional.max_pool2d(
+            x_2, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        out_20 = torch.conv2d(
+            x_2,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_21 = torch.nn.functional.batch_norm(
+            out_20,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_20 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_22 = torch.nn.functional.relu(out_21, inplace=True)
+        out_21 = None
+        out_23 = torch.conv2d(
+            out_22,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_22 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_24 = torch.nn.functional.batch_norm(
+            out_23,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_23 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_25 = torch.nn.functional.relu(out_24, inplace=True)
+        out_24 = None
+        out_26 = torch.conv2d(
+            out_25,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_25 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_27 = torch.nn.functional.batch_norm(
+            out_26,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_26 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_27 += bottom_2
+        out_28 = out_27
+        out_27 = bottom_2 = None
+        out_29 = torch.nn.functional.relu(out_28, inplace=True)
+        out_28 = None
+        out_30 = torch.conv2d(
+            out_29,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_31 = torch.nn.functional.batch_norm(
+            out_30,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_30 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_32 = torch.nn.functional.relu(out_31, inplace=True)
+        out_31 = None
+        out_33 = torch.conv2d(
+            out_32,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_32 = l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_34 = torch.nn.functional.batch_norm(
+            out_33,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_33 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_35 = torch.nn.functional.relu(out_34, inplace=True)
+        out_34 = None
+        out_36 = torch.conv2d(
+            out_35,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_35 = l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_37 = torch.nn.functional.batch_norm(
+            out_36,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_36 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_37 += out_29
+        out_38 = out_37
+        out_37 = None
+        out_39 = torch.nn.functional.relu(out_38, inplace=True)
+        out_38 = None
+        cat_1 = torch.cat([out_39, out_29], 1)
+        out_39 = out_29 = None
+        x_3 = torch.conv2d(
+            cat_1,
+            l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_1 = l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        out_40 = torch.conv2d(
+            x_5,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_41 = torch.nn.functional.batch_norm(
+            out_40,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_40 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_42 = torch.nn.functional.relu(out_41, inplace=True)
+        out_41 = None
+        out_43 = torch.conv2d(
+            out_42,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_42 = l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_44 = torch.nn.functional.batch_norm(
+            out_43,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_43 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_45 = torch.nn.functional.relu(out_44, inplace=True)
+        out_44 = None
+        out_46 = torch.conv2d(
+            out_45,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_45 = l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_47 = torch.nn.functional.batch_norm(
+            out_46,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_46 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_47 += x_5
+        out_48 = out_47
+        out_47 = None
+        out_49 = torch.nn.functional.relu(out_48, inplace=True)
+        out_48 = None
+        out_50 = torch.conv2d(
+            out_49,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_51 = torch.nn.functional.batch_norm(
+            out_50,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_50 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_52 = torch.nn.functional.relu(out_51, inplace=True)
+        out_51 = None
+        out_53 = torch.conv2d(
+            out_52,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_52 = l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_54 = torch.nn.functional.batch_norm(
+            out_53,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_53 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_55 = torch.nn.functional.relu(out_54, inplace=True)
+        out_54 = None
+        out_56 = torch.conv2d(
+            out_55,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_55 = l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_57 = torch.nn.functional.batch_norm(
+            out_56,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_56 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_57 += out_49
+        out_58 = out_57
+        out_57 = None
+        out_59 = torch.nn.functional.relu(out_58, inplace=True)
+        out_58 = None
+        cat_2 = torch.cat([out_59, out_49, bottom_1, x_5], 1)
+        out_59 = out_49 = bottom_1 = x_5 = None
+        x_6 = torch.conv2d(
+            cat_2,
+            l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_2 = l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        bottom_3 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_4 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_12 = torch.conv2d(
+            bottom_4,
+            l_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_4 = l_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_13 = torch.nn.functional.batch_norm(
+            input_12,
+            l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_12 = l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_60 = torch.conv2d(
+            x_8,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_61 = torch.nn.functional.batch_norm(
+            out_60,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_60 = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_62 = torch.nn.functional.relu(out_61, inplace=True)
+        out_61 = None
+        out_63 = torch.conv2d(
+            out_62,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_62 = l_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_64 = torch.nn.functional.batch_norm(
+            out_63,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_63 = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_65 = torch.nn.functional.relu(out_64, inplace=True)
+        out_64 = None
+        out_66 = torch.conv2d(
+            out_65,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_65 = l_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_67 = torch.nn.functional.batch_norm(
+            out_66,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_66 = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_67 += input_13
+        out_68 = out_67
+        out_67 = input_13 = None
+        out_69 = torch.nn.functional.relu(out_68, inplace=True)
+        out_68 = None
+        out_70 = torch.conv2d(
+            out_69,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_71 = torch.nn.functional.batch_norm(
+            out_70,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_70 = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_72 = torch.nn.functional.relu(out_71, inplace=True)
+        out_71 = None
+        out_73 = torch.conv2d(
+            out_72,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_72 = l_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_74 = torch.nn.functional.batch_norm(
+            out_73,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_73 = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_75 = torch.nn.functional.relu(out_74, inplace=True)
+        out_74 = None
+        out_76 = torch.conv2d(
+            out_75,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_75 = l_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_77 = torch.nn.functional.batch_norm(
+            out_76,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_76 = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_77 += out_69
+        out_78 = out_77
+        out_77 = None
+        out_79 = torch.nn.functional.relu(out_78, inplace=True)
+        out_78 = None
+        cat_3 = torch.cat([out_79, out_69], 1)
+        out_79 = out_69 = None
+        x_9 = torch.conv2d(
+            cat_3,
+            l_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_3 = l_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        out_80 = torch.conv2d(
+            x_11,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_81 = torch.nn.functional.batch_norm(
+            out_80,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_80 = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_82 = torch.nn.functional.relu(out_81, inplace=True)
+        out_81 = None
+        out_83 = torch.conv2d(
+            out_82,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_82 = l_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_84 = torch.nn.functional.batch_norm(
+            out_83,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_83 = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_85 = torch.nn.functional.relu(out_84, inplace=True)
+        out_84 = None
+        out_86 = torch.conv2d(
+            out_85,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_85 = l_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_87 = torch.nn.functional.batch_norm(
+            out_86,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_86 = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_87 += x_11
+        out_88 = out_87
+        out_87 = None
+        out_89 = torch.nn.functional.relu(out_88, inplace=True)
+        out_88 = None
+        out_90 = torch.conv2d(
+            out_89,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_91 = torch.nn.functional.batch_norm(
+            out_90,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_90 = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_92 = torch.nn.functional.relu(out_91, inplace=True)
+        out_91 = None
+        out_93 = torch.conv2d(
+            out_92,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_92 = l_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_94 = torch.nn.functional.batch_norm(
+            out_93,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_93 = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_95 = torch.nn.functional.relu(out_94, inplace=True)
+        out_94 = None
+        out_96 = torch.conv2d(
+            out_95,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_95 = l_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_97 = torch.nn.functional.batch_norm(
+            out_96,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_96 = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_97 += out_89
+        out_98 = out_97
+        out_97 = None
+        out_99 = torch.nn.functional.relu(out_98, inplace=True)
+        out_98 = None
+        cat_4 = torch.cat([out_99, out_89, bottom_3, x_11], 1)
+        out_99 = out_89 = bottom_3 = x_11 = None
+        x_12 = torch.conv2d(
+            cat_4,
+            l_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_4 = l_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        bottom_5 = torch.nn.functional.max_pool2d(
+            x_14, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_14 = torch.conv2d(
+            bottom_5,
+            l_self_modules_level5_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = None
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level5_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level5_modules_project_modules_1_parameters_bias_ = None
+        out_100 = torch.conv2d(
+            x_14,
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = (
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_101 = torch.nn.functional.batch_norm(
+            out_100,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_100 = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_102 = torch.nn.functional.relu(out_101, inplace=True)
+        out_101 = None
+        out_103 = torch.conv2d(
+            out_102,
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_102 = (
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_104 = torch.nn.functional.batch_norm(
+            out_103,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_103 = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_105 = torch.nn.functional.relu(out_104, inplace=True)
+        out_104 = None
+        out_106 = torch.conv2d(
+            out_105,
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_105 = (
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_107 = torch.nn.functional.batch_norm(
+            out_106,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_106 = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_107 += input_15
+        out_108 = out_107
+        out_107 = input_15 = None
+        out_109 = torch.nn.functional.relu(out_108, inplace=True)
+        out_108 = None
+        out_110 = torch.conv2d(
+            out_109,
+            l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_111 = torch.nn.functional.batch_norm(
+            out_110,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_110 = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_112 = torch.nn.functional.relu(out_111, inplace=True)
+        out_111 = None
+        out_113 = torch.conv2d(
+            out_112,
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_112 = (
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_114 = torch.nn.functional.batch_norm(
+            out_113,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_113 = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_115 = torch.nn.functional.relu(out_114, inplace=True)
+        out_114 = None
+        out_116 = torch.conv2d(
+            out_115,
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_115 = (
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_117 = torch.nn.functional.batch_norm(
+            out_116,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_116 = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_117 += out_109
+        out_118 = out_117
+        out_117 = None
+        out_119 = torch.nn.functional.relu(out_118, inplace=True)
+        out_118 = None
+        cat_5 = torch.cat([out_119, out_109, bottom_5], 1)
+        out_119 = out_109 = bottom_5 = None
+        x_15 = torch.conv2d(
+            cat_5,
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_5 = (
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        ) = None
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = None
+        x_17 = torch.nn.functional.relu(x_16, inplace=True)
+        x_16 = None
+        x_18 = torch.nn.functional.adaptive_avg_pool2d(x_17, 1)
+        x_17 = None
+        x_19 = torch.nn.functional.dropout(x_18, 0.0, False, False)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        x_21 = x_20.flatten(1, -1)
+        x_20 = None
+        return (x_21,)
diff --git a/samples/timm/dla46x_c.in1k/weight_meta.py b/samples/timm/dla46x_c.in1k/weight_meta.py
new file mode 100644
index 000000000..cdedf2607
--- /dev/null
+++ b/samples/timm/dla46x_c.in1k/weight_meta.py
@@ -0,0 +1,2504 @@
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_0_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_0_parameters_weight_"
+    shape = [16, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.222
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_mean_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_var_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_bias_:
+    name = "L_self_modules_base_layer_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_0_parameters_weight_:
+    name = "L_self_modules_level0_modules_0_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level0_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_var_:
+    name = "L_self_modules_level0_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_weight_:
+    name = "L_self_modules_level0_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_bias_:
+    name = "L_self_modules_level0_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_0_parameters_weight_:
+    name = "L_self_modules_level1_modules_0_parameters_weight_"
+    shape = [32, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_var_:
+    name = "L_self_modules_level1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_weight_:
+    name = "L_self_modules_level1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_bias_:
+    name = "L_self_modules_level1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_0_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.060
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_conv_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.174
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.179
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.179
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.179
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.061
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_project_modules_1_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.123
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level4_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.036
+    data = None
diff --git a/samples/timm/dla60.in1k/graph_hash.txt b/samples/timm/dla60.in1k/graph_hash.txt
new file mode 100644
index 000000000..2f8778b85
--- /dev/null
+++ b/samples/timm/dla60.in1k/graph_hash.txt
@@ -0,0 +1 @@
+a2e146cd8bb6d7a5b1bbcd7e9871336528feaed2b72afc1a0f76fd3051def937
\ No newline at end of file
diff --git a/samples/timm/dla60.in1k/graph_net.json b/samples/timm/dla60.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dla60.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dla60.in1k/input_meta.py b/samples/timm/dla60.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla60.in1k/input_tensor_constraints.py b/samples/timm/dla60.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla60.in1k/model.py b/samples/timm/dla60.in1k/model.py
new file mode 100644
index 000000000..c844a5d36
--- /dev/null
+++ b/samples/timm/dla60.in1k/model.py
@@ -0,0 +1,2546 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_base_layer_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_base_layer_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_base_layer_modules_0_parameters_weight_ = (
+            L_self_modules_base_layer_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_base_layer_modules_1_buffers_running_mean_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_mean_
+        )
+        l_self_modules_base_layer_modules_1_buffers_running_var_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_var_
+        )
+        l_self_modules_base_layer_modules_1_parameters_weight_ = (
+            L_self_modules_base_layer_modules_1_parameters_weight_
+        )
+        l_self_modules_base_layer_modules_1_parameters_bias_ = (
+            L_self_modules_base_layer_modules_1_parameters_bias_
+        )
+        l_self_modules_level0_modules_0_parameters_weight_ = (
+            L_self_modules_level0_modules_0_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_buffers_running_mean_ = (
+            L_self_modules_level0_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level0_modules_1_buffers_running_var_ = (
+            L_self_modules_level0_modules_1_buffers_running_var_
+        )
+        l_self_modules_level0_modules_1_parameters_weight_ = (
+            L_self_modules_level0_modules_1_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_parameters_bias_ = (
+            L_self_modules_level0_modules_1_parameters_bias_
+        )
+        l_self_modules_level1_modules_0_parameters_weight_ = (
+            L_self_modules_level1_modules_0_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_buffers_running_mean_ = (
+            L_self_modules_level1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level1_modules_1_buffers_running_var_ = (
+            L_self_modules_level1_modules_1_buffers_running_var_
+        )
+        l_self_modules_level1_modules_1_parameters_weight_ = (
+            L_self_modules_level1_modules_1_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_parameters_bias_ = (
+            L_self_modules_level1_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_base_layer_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_base_layer_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_base_layer_modules_1_buffers_running_mean_,
+            l_self_modules_base_layer_modules_1_buffers_running_var_,
+            l_self_modules_base_layer_modules_1_parameters_weight_,
+            l_self_modules_base_layer_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_base_layer_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_base_layer_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_base_layer_modules_1_parameters_weight_
+        ) = l_self_modules_base_layer_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_level0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_level0_modules_0_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_level0_modules_1_buffers_running_mean_,
+            l_self_modules_level0_modules_1_buffers_running_var_,
+            l_self_modules_level0_modules_1_parameters_weight_,
+            l_self_modules_level0_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_level0_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level0_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level0_modules_1_parameters_weight_
+        ) = l_self_modules_level0_modules_1_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_level1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_level1_modules_0_parameters_weight_ = None
+        input_8 = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_level1_modules_1_buffers_running_mean_,
+            l_self_modules_level1_modules_1_buffers_running_var_,
+            l_self_modules_level1_modules_1_parameters_weight_,
+            l_self_modules_level1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_level1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level1_modules_1_parameters_weight_
+        ) = l_self_modules_level1_modules_1_parameters_bias_ = None
+        input_9 = torch.nn.functional.relu(input_8, inplace=True)
+        input_8 = None
+        bottom = torch.nn.functional.max_pool2d(
+            input_9, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_10 = torch.conv2d(
+            bottom,
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom = (
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_
+        ) = None
+        input_11 = torch.nn.functional.batch_norm(
+            input_10,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level2_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_10 = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level2_modules_project_modules_1_parameters_bias_ = None
+        out = torch.conv2d(
+            input_9,
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = (
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_1 = torch.nn.functional.batch_norm(
+            out,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_2 = torch.nn.functional.relu(out_1, inplace=True)
+        out_1 = None
+        out_3 = torch.conv2d(
+            out_2,
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_2 = (
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_4 = torch.nn.functional.batch_norm(
+            out_3,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_3 = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_5 = torch.nn.functional.relu(out_4, inplace=True)
+        out_4 = None
+        out_6 = torch.conv2d(
+            out_5,
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_5 = (
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_7 = torch.nn.functional.batch_norm(
+            out_6,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_6 = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_7 += input_11
+        out_8 = out_7
+        out_7 = input_11 = None
+        out_9 = torch.nn.functional.relu(out_8, inplace=True)
+        out_8 = None
+        out_10 = torch.conv2d(
+            out_9,
+            l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_11 = torch.nn.functional.batch_norm(
+            out_10,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_10 = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_12 = torch.nn.functional.relu(out_11, inplace=True)
+        out_11 = None
+        out_13 = torch.conv2d(
+            out_12,
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_12 = (
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_14 = torch.nn.functional.batch_norm(
+            out_13,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_13 = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_15 = torch.nn.functional.relu(out_14, inplace=True)
+        out_14 = None
+        out_16 = torch.conv2d(
+            out_15,
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_15 = (
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_17 = torch.nn.functional.batch_norm(
+            out_16,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_16 = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_17 += out_9
+        out_18 = out_17
+        out_17 = None
+        out_19 = torch.nn.functional.relu(out_18, inplace=True)
+        out_18 = None
+        cat = torch.cat([out_19, out_9], 1)
+        out_19 = out_9 = None
+        x = torch.conv2d(
+            cat,
+            l_self_modules_level2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat = l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        bottom_1 = torch.nn.functional.max_pool2d(
+            x_2, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_2 = torch.nn.functional.max_pool2d(
+            x_2, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_12 = torch.conv2d(
+            bottom_2,
+            l_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_2 = l_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_13 = torch.nn.functional.batch_norm(
+            input_12,
+            l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_12 = l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_20 = torch.conv2d(
+            x_2,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_21 = torch.nn.functional.batch_norm(
+            out_20,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_20 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_22 = torch.nn.functional.relu(out_21, inplace=True)
+        out_21 = None
+        out_23 = torch.conv2d(
+            out_22,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_22 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_24 = torch.nn.functional.batch_norm(
+            out_23,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_23 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_25 = torch.nn.functional.relu(out_24, inplace=True)
+        out_24 = None
+        out_26 = torch.conv2d(
+            out_25,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_25 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_27 = torch.nn.functional.batch_norm(
+            out_26,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_26 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_27 += input_13
+        out_28 = out_27
+        out_27 = input_13 = None
+        out_29 = torch.nn.functional.relu(out_28, inplace=True)
+        out_28 = None
+        out_30 = torch.conv2d(
+            out_29,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_31 = torch.nn.functional.batch_norm(
+            out_30,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_30 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_32 = torch.nn.functional.relu(out_31, inplace=True)
+        out_31 = None
+        out_33 = torch.conv2d(
+            out_32,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_32 = l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_34 = torch.nn.functional.batch_norm(
+            out_33,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_33 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_35 = torch.nn.functional.relu(out_34, inplace=True)
+        out_34 = None
+        out_36 = torch.conv2d(
+            out_35,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_35 = l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_37 = torch.nn.functional.batch_norm(
+            out_36,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_36 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_37 += out_29
+        out_38 = out_37
+        out_37 = None
+        out_39 = torch.nn.functional.relu(out_38, inplace=True)
+        out_38 = None
+        cat_1 = torch.cat([out_39, out_29], 1)
+        out_39 = out_29 = None
+        x_3 = torch.conv2d(
+            cat_1,
+            l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_1 = l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        out_40 = torch.conv2d(
+            x_5,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_41 = torch.nn.functional.batch_norm(
+            out_40,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_40 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_42 = torch.nn.functional.relu(out_41, inplace=True)
+        out_41 = None
+        out_43 = torch.conv2d(
+            out_42,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_42 = l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_44 = torch.nn.functional.batch_norm(
+            out_43,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_43 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_45 = torch.nn.functional.relu(out_44, inplace=True)
+        out_44 = None
+        out_46 = torch.conv2d(
+            out_45,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_45 = l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_47 = torch.nn.functional.batch_norm(
+            out_46,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_46 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_47 += x_5
+        out_48 = out_47
+        out_47 = None
+        out_49 = torch.nn.functional.relu(out_48, inplace=True)
+        out_48 = None
+        out_50 = torch.conv2d(
+            out_49,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_51 = torch.nn.functional.batch_norm(
+            out_50,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_50 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_52 = torch.nn.functional.relu(out_51, inplace=True)
+        out_51 = None
+        out_53 = torch.conv2d(
+            out_52,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_52 = l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_54 = torch.nn.functional.batch_norm(
+            out_53,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_53 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_55 = torch.nn.functional.relu(out_54, inplace=True)
+        out_54 = None
+        out_56 = torch.conv2d(
+            out_55,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_55 = l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_57 = torch.nn.functional.batch_norm(
+            out_56,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_56 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_57 += out_49
+        out_58 = out_57
+        out_57 = None
+        out_59 = torch.nn.functional.relu(out_58, inplace=True)
+        out_58 = None
+        cat_2 = torch.cat([out_59, out_49, bottom_1, x_5], 1)
+        out_59 = out_49 = bottom_1 = x_5 = None
+        x_6 = torch.conv2d(
+            cat_2,
+            l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_2 = l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        bottom_3 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_4 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_4 = None
+        bottom_5 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_14 = torch.conv2d(
+            bottom_5,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_5 = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_60 = torch.conv2d(
+            x_8,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_61 = torch.nn.functional.batch_norm(
+            out_60,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_60 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_62 = torch.nn.functional.relu(out_61, inplace=True)
+        out_61 = None
+        out_63 = torch.conv2d(
+            out_62,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_62 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_64 = torch.nn.functional.batch_norm(
+            out_63,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_63 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_65 = torch.nn.functional.relu(out_64, inplace=True)
+        out_64 = None
+        out_66 = torch.conv2d(
+            out_65,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_65 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_67 = torch.nn.functional.batch_norm(
+            out_66,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_66 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_67 += input_15
+        out_68 = out_67
+        out_67 = input_15 = None
+        out_69 = torch.nn.functional.relu(out_68, inplace=True)
+        out_68 = None
+        out_70 = torch.conv2d(
+            out_69,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_71 = torch.nn.functional.batch_norm(
+            out_70,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_70 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_72 = torch.nn.functional.relu(out_71, inplace=True)
+        out_71 = None
+        out_73 = torch.conv2d(
+            out_72,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_72 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_74 = torch.nn.functional.batch_norm(
+            out_73,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_73 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_75 = torch.nn.functional.relu(out_74, inplace=True)
+        out_74 = None
+        out_76 = torch.conv2d(
+            out_75,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_75 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_77 = torch.nn.functional.batch_norm(
+            out_76,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_76 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_77 += out_69
+        out_78 = out_77
+        out_77 = None
+        out_79 = torch.nn.functional.relu(out_78, inplace=True)
+        out_78 = None
+        cat_3 = torch.cat([out_79, out_69], 1)
+        out_79 = out_69 = None
+        x_9 = torch.conv2d(
+            cat_3,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_3 = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        out_80 = torch.conv2d(
+            x_11,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_81 = torch.nn.functional.batch_norm(
+            out_80,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_80 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_82 = torch.nn.functional.relu(out_81, inplace=True)
+        out_81 = None
+        out_83 = torch.conv2d(
+            out_82,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_82 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_84 = torch.nn.functional.batch_norm(
+            out_83,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_83 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_85 = torch.nn.functional.relu(out_84, inplace=True)
+        out_84 = None
+        out_86 = torch.conv2d(
+            out_85,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_85 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_87 = torch.nn.functional.batch_norm(
+            out_86,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_86 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_87 += x_11
+        out_88 = out_87
+        out_87 = None
+        out_89 = torch.nn.functional.relu(out_88, inplace=True)
+        out_88 = None
+        out_90 = torch.conv2d(
+            out_89,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_91 = torch.nn.functional.batch_norm(
+            out_90,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_90 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_92 = torch.nn.functional.relu(out_91, inplace=True)
+        out_91 = None
+        out_93 = torch.conv2d(
+            out_92,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_92 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_94 = torch.nn.functional.batch_norm(
+            out_93,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_93 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_95 = torch.nn.functional.relu(out_94, inplace=True)
+        out_94 = None
+        out_96 = torch.conv2d(
+            out_95,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_95 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_97 = torch.nn.functional.batch_norm(
+            out_96,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_96 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_97 += out_89
+        out_98 = out_97
+        out_97 = None
+        out_99 = torch.nn.functional.relu(out_98, inplace=True)
+        out_98 = None
+        cat_4 = torch.cat([out_99, out_89, x_11], 1)
+        out_99 = out_89 = x_11 = None
+        x_12 = torch.conv2d(
+            cat_4,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_4 = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        out_100 = torch.conv2d(
+            x_14,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_101 = torch.nn.functional.batch_norm(
+            out_100,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_100 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_102 = torch.nn.functional.relu(out_101, inplace=True)
+        out_101 = None
+        out_103 = torch.conv2d(
+            out_102,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_102 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_104 = torch.nn.functional.batch_norm(
+            out_103,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_103 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_105 = torch.nn.functional.relu(out_104, inplace=True)
+        out_104 = None
+        out_106 = torch.conv2d(
+            out_105,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_105 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_107 = torch.nn.functional.batch_norm(
+            out_106,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_106 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_107 += x_14
+        out_108 = out_107
+        out_107 = None
+        out_109 = torch.nn.functional.relu(out_108, inplace=True)
+        out_108 = None
+        out_110 = torch.conv2d(
+            out_109,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_111 = torch.nn.functional.batch_norm(
+            out_110,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_110 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_112 = torch.nn.functional.relu(out_111, inplace=True)
+        out_111 = None
+        out_113 = torch.conv2d(
+            out_112,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_112 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_114 = torch.nn.functional.batch_norm(
+            out_113,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_113 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_115 = torch.nn.functional.relu(out_114, inplace=True)
+        out_114 = None
+        out_116 = torch.conv2d(
+            out_115,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_115 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_117 = torch.nn.functional.batch_norm(
+            out_116,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_116 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_117 += out_109
+        out_118 = out_117
+        out_117 = None
+        out_119 = torch.nn.functional.relu(out_118, inplace=True)
+        out_118 = None
+        cat_5 = torch.cat([out_119, out_109], 1)
+        out_119 = out_109 = None
+        x_15 = torch.conv2d(
+            cat_5,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_5 = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_17 = torch.nn.functional.relu(x_16, inplace=True)
+        x_16 = None
+        out_120 = torch.conv2d(
+            x_17,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_121 = torch.nn.functional.batch_norm(
+            out_120,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_120 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_122 = torch.nn.functional.relu(out_121, inplace=True)
+        out_121 = None
+        out_123 = torch.conv2d(
+            out_122,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_122 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_124 = torch.nn.functional.batch_norm(
+            out_123,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_123 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_125 = torch.nn.functional.relu(out_124, inplace=True)
+        out_124 = None
+        out_126 = torch.conv2d(
+            out_125,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_125 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_127 = torch.nn.functional.batch_norm(
+            out_126,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_126 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_127 += x_17
+        out_128 = out_127
+        out_127 = None
+        out_129 = torch.nn.functional.relu(out_128, inplace=True)
+        out_128 = None
+        out_130 = torch.conv2d(
+            out_129,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_131 = torch.nn.functional.batch_norm(
+            out_130,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_130 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_132 = torch.nn.functional.relu(out_131, inplace=True)
+        out_131 = None
+        out_133 = torch.conv2d(
+            out_132,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_132 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_134 = torch.nn.functional.batch_norm(
+            out_133,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_133 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_135 = torch.nn.functional.relu(out_134, inplace=True)
+        out_134 = None
+        out_136 = torch.conv2d(
+            out_135,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_135 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_137 = torch.nn.functional.batch_norm(
+            out_136,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_136 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_137 += out_129
+        out_138 = out_137
+        out_137 = None
+        out_139 = torch.nn.functional.relu(out_138, inplace=True)
+        out_138 = None
+        cat_6 = torch.cat([out_139, out_129, bottom_3, x_14, x_17], 1)
+        out_139 = out_129 = bottom_3 = x_14 = x_17 = None
+        x_18 = torch.conv2d(
+            cat_6,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_6 = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        bottom_6 = torch.nn.functional.max_pool2d(
+            x_20, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_16 = torch.conv2d(
+            bottom_6,
+            l_self_modules_level5_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = None
+        input_17 = torch.nn.functional.batch_norm(
+            input_16,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level5_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_16 = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level5_modules_project_modules_1_parameters_bias_ = None
+        out_140 = torch.conv2d(
+            x_20,
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = (
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_141 = torch.nn.functional.batch_norm(
+            out_140,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_140 = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_142 = torch.nn.functional.relu(out_141, inplace=True)
+        out_141 = None
+        out_143 = torch.conv2d(
+            out_142,
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_142 = (
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_144 = torch.nn.functional.batch_norm(
+            out_143,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_143 = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_145 = torch.nn.functional.relu(out_144, inplace=True)
+        out_144 = None
+        out_146 = torch.conv2d(
+            out_145,
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_145 = (
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_147 = torch.nn.functional.batch_norm(
+            out_146,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_146 = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_147 += input_17
+        out_148 = out_147
+        out_147 = input_17 = None
+        out_149 = torch.nn.functional.relu(out_148, inplace=True)
+        out_148 = None
+        out_150 = torch.conv2d(
+            out_149,
+            l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_151 = torch.nn.functional.batch_norm(
+            out_150,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_150 = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_152 = torch.nn.functional.relu(out_151, inplace=True)
+        out_151 = None
+        out_153 = torch.conv2d(
+            out_152,
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        out_152 = (
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_154 = torch.nn.functional.batch_norm(
+            out_153,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_153 = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_155 = torch.nn.functional.relu(out_154, inplace=True)
+        out_154 = None
+        out_156 = torch.conv2d(
+            out_155,
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_155 = (
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_157 = torch.nn.functional.batch_norm(
+            out_156,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_156 = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_157 += out_149
+        out_158 = out_157
+        out_157 = None
+        out_159 = torch.nn.functional.relu(out_158, inplace=True)
+        out_158 = None
+        cat_7 = torch.cat([out_159, out_149, bottom_6], 1)
+        out_159 = out_149 = bottom_6 = None
+        x_21 = torch.conv2d(
+            cat_7,
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_7 = (
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        ) = None
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = None
+        x_23 = torch.nn.functional.relu(x_22, inplace=True)
+        x_22 = None
+        x_24 = torch.nn.functional.adaptive_avg_pool2d(x_23, 1)
+        x_23 = None
+        x_25 = torch.nn.functional.dropout(x_24, 0.0, False, False)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        x_27 = x_26.flatten(1, -1)
+        x_26 = None
+        return (x_27,)
diff --git a/samples/timm/dla60.in1k/weight_meta.py b/samples/timm/dla60.in1k/weight_meta.py
new file mode 100644
index 000000000..b75ea0af1
--- /dev/null
+++ b/samples/timm/dla60.in1k/weight_meta.py
@@ -0,0 +1,3222 @@
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_0_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_0_parameters_weight_"
+    shape = [16, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.222
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_mean_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_var_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_bias_:
+    name = "L_self_modules_base_layer_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_0_parameters_weight_:
+    name = "L_self_modules_level0_modules_0_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level0_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_var_:
+    name = "L_self_modules_level0_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_weight_:
+    name = "L_self_modules_level0_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_bias_:
+    name = "L_self_modules_level0_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_0_parameters_weight_:
+    name = "L_self_modules_level1_modules_0_parameters_weight_"
+    shape = [32, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_var_:
+    name = "L_self_modules_level1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_weight_:
+    name = "L_self_modules_level1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_bias_:
+    name = "L_self_modules_level1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_0_parameters_weight_"
+    shape = [128, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.127
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_conv_parameters_weight_"
+    shape = [1024, 2560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.018
+    data = None
diff --git a/samples/timm/dla60x.in1k/graph_hash.txt b/samples/timm/dla60x.in1k/graph_hash.txt
new file mode 100644
index 000000000..ac91ff336
--- /dev/null
+++ b/samples/timm/dla60x.in1k/graph_hash.txt
@@ -0,0 +1 @@
+d7b4f8a985df4cea7eb25ec331412c173442e10f97a7baacebc8132039e4defe
\ No newline at end of file
diff --git a/samples/timm/dla60x.in1k/graph_net.json b/samples/timm/dla60x.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dla60x.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dla60x.in1k/input_meta.py b/samples/timm/dla60x.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla60x.in1k/input_tensor_constraints.py b/samples/timm/dla60x.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla60x.in1k/model.py b/samples/timm/dla60x.in1k/model.py
new file mode 100644
index 000000000..d5d08180d
--- /dev/null
+++ b/samples/timm/dla60x.in1k/model.py
@@ -0,0 +1,2546 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_base_layer_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_base_layer_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_base_layer_modules_0_parameters_weight_ = (
+            L_self_modules_base_layer_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_base_layer_modules_1_buffers_running_mean_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_mean_
+        )
+        l_self_modules_base_layer_modules_1_buffers_running_var_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_var_
+        )
+        l_self_modules_base_layer_modules_1_parameters_weight_ = (
+            L_self_modules_base_layer_modules_1_parameters_weight_
+        )
+        l_self_modules_base_layer_modules_1_parameters_bias_ = (
+            L_self_modules_base_layer_modules_1_parameters_bias_
+        )
+        l_self_modules_level0_modules_0_parameters_weight_ = (
+            L_self_modules_level0_modules_0_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_buffers_running_mean_ = (
+            L_self_modules_level0_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level0_modules_1_buffers_running_var_ = (
+            L_self_modules_level0_modules_1_buffers_running_var_
+        )
+        l_self_modules_level0_modules_1_parameters_weight_ = (
+            L_self_modules_level0_modules_1_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_parameters_bias_ = (
+            L_self_modules_level0_modules_1_parameters_bias_
+        )
+        l_self_modules_level1_modules_0_parameters_weight_ = (
+            L_self_modules_level1_modules_0_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_buffers_running_mean_ = (
+            L_self_modules_level1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level1_modules_1_buffers_running_var_ = (
+            L_self_modules_level1_modules_1_buffers_running_var_
+        )
+        l_self_modules_level1_modules_1_parameters_weight_ = (
+            L_self_modules_level1_modules_1_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_parameters_bias_ = (
+            L_self_modules_level1_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_base_layer_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_base_layer_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_base_layer_modules_1_buffers_running_mean_,
+            l_self_modules_base_layer_modules_1_buffers_running_var_,
+            l_self_modules_base_layer_modules_1_parameters_weight_,
+            l_self_modules_base_layer_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_base_layer_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_base_layer_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_base_layer_modules_1_parameters_weight_
+        ) = l_self_modules_base_layer_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_level0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_level0_modules_0_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_level0_modules_1_buffers_running_mean_,
+            l_self_modules_level0_modules_1_buffers_running_var_,
+            l_self_modules_level0_modules_1_parameters_weight_,
+            l_self_modules_level0_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_level0_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level0_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level0_modules_1_parameters_weight_
+        ) = l_self_modules_level0_modules_1_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_level1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_level1_modules_0_parameters_weight_ = None
+        input_8 = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_level1_modules_1_buffers_running_mean_,
+            l_self_modules_level1_modules_1_buffers_running_var_,
+            l_self_modules_level1_modules_1_parameters_weight_,
+            l_self_modules_level1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_level1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level1_modules_1_parameters_weight_
+        ) = l_self_modules_level1_modules_1_parameters_bias_ = None
+        input_9 = torch.nn.functional.relu(input_8, inplace=True)
+        input_8 = None
+        bottom = torch.nn.functional.max_pool2d(
+            input_9, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_10 = torch.conv2d(
+            bottom,
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom = (
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_
+        ) = None
+        input_11 = torch.nn.functional.batch_norm(
+            input_10,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level2_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_10 = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level2_modules_project_modules_1_parameters_bias_ = None
+        out = torch.conv2d(
+            input_9,
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = (
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_1 = torch.nn.functional.batch_norm(
+            out,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_2 = torch.nn.functional.relu(out_1, inplace=True)
+        out_1 = None
+        out_3 = torch.conv2d(
+            out_2,
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_2 = (
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_4 = torch.nn.functional.batch_norm(
+            out_3,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_3 = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_5 = torch.nn.functional.relu(out_4, inplace=True)
+        out_4 = None
+        out_6 = torch.conv2d(
+            out_5,
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_5 = (
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_7 = torch.nn.functional.batch_norm(
+            out_6,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_6 = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_7 += input_11
+        out_8 = out_7
+        out_7 = input_11 = None
+        out_9 = torch.nn.functional.relu(out_8, inplace=True)
+        out_8 = None
+        out_10 = torch.conv2d(
+            out_9,
+            l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_11 = torch.nn.functional.batch_norm(
+            out_10,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_10 = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_12 = torch.nn.functional.relu(out_11, inplace=True)
+        out_11 = None
+        out_13 = torch.conv2d(
+            out_12,
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_12 = (
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_14 = torch.nn.functional.batch_norm(
+            out_13,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_13 = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_15 = torch.nn.functional.relu(out_14, inplace=True)
+        out_14 = None
+        out_16 = torch.conv2d(
+            out_15,
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_15 = (
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_17 = torch.nn.functional.batch_norm(
+            out_16,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_16 = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_17 += out_9
+        out_18 = out_17
+        out_17 = None
+        out_19 = torch.nn.functional.relu(out_18, inplace=True)
+        out_18 = None
+        cat = torch.cat([out_19, out_9], 1)
+        out_19 = out_9 = None
+        x = torch.conv2d(
+            cat,
+            l_self_modules_level2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat = l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        bottom_1 = torch.nn.functional.max_pool2d(
+            x_2, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_2 = torch.nn.functional.max_pool2d(
+            x_2, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_12 = torch.conv2d(
+            bottom_2,
+            l_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_2 = l_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_13 = torch.nn.functional.batch_norm(
+            input_12,
+            l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_12 = l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_20 = torch.conv2d(
+            x_2,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_21 = torch.nn.functional.batch_norm(
+            out_20,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_20 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_22 = torch.nn.functional.relu(out_21, inplace=True)
+        out_21 = None
+        out_23 = torch.conv2d(
+            out_22,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_22 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_24 = torch.nn.functional.batch_norm(
+            out_23,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_23 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_25 = torch.nn.functional.relu(out_24, inplace=True)
+        out_24 = None
+        out_26 = torch.conv2d(
+            out_25,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_25 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_27 = torch.nn.functional.batch_norm(
+            out_26,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_26 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_27 += input_13
+        out_28 = out_27
+        out_27 = input_13 = None
+        out_29 = torch.nn.functional.relu(out_28, inplace=True)
+        out_28 = None
+        out_30 = torch.conv2d(
+            out_29,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_31 = torch.nn.functional.batch_norm(
+            out_30,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_30 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_32 = torch.nn.functional.relu(out_31, inplace=True)
+        out_31 = None
+        out_33 = torch.conv2d(
+            out_32,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_32 = l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_34 = torch.nn.functional.batch_norm(
+            out_33,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_33 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_35 = torch.nn.functional.relu(out_34, inplace=True)
+        out_34 = None
+        out_36 = torch.conv2d(
+            out_35,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_35 = l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_37 = torch.nn.functional.batch_norm(
+            out_36,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_36 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_37 += out_29
+        out_38 = out_37
+        out_37 = None
+        out_39 = torch.nn.functional.relu(out_38, inplace=True)
+        out_38 = None
+        cat_1 = torch.cat([out_39, out_29], 1)
+        out_39 = out_29 = None
+        x_3 = torch.conv2d(
+            cat_1,
+            l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_1 = l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        out_40 = torch.conv2d(
+            x_5,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_41 = torch.nn.functional.batch_norm(
+            out_40,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_40 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_42 = torch.nn.functional.relu(out_41, inplace=True)
+        out_41 = None
+        out_43 = torch.conv2d(
+            out_42,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_42 = l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_44 = torch.nn.functional.batch_norm(
+            out_43,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_43 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_45 = torch.nn.functional.relu(out_44, inplace=True)
+        out_44 = None
+        out_46 = torch.conv2d(
+            out_45,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_45 = l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_47 = torch.nn.functional.batch_norm(
+            out_46,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_46 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_47 += x_5
+        out_48 = out_47
+        out_47 = None
+        out_49 = torch.nn.functional.relu(out_48, inplace=True)
+        out_48 = None
+        out_50 = torch.conv2d(
+            out_49,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_51 = torch.nn.functional.batch_norm(
+            out_50,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_50 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_52 = torch.nn.functional.relu(out_51, inplace=True)
+        out_51 = None
+        out_53 = torch.conv2d(
+            out_52,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_52 = l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_54 = torch.nn.functional.batch_norm(
+            out_53,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_53 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_55 = torch.nn.functional.relu(out_54, inplace=True)
+        out_54 = None
+        out_56 = torch.conv2d(
+            out_55,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_55 = l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_57 = torch.nn.functional.batch_norm(
+            out_56,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_56 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_57 += out_49
+        out_58 = out_57
+        out_57 = None
+        out_59 = torch.nn.functional.relu(out_58, inplace=True)
+        out_58 = None
+        cat_2 = torch.cat([out_59, out_49, bottom_1, x_5], 1)
+        out_59 = out_49 = bottom_1 = x_5 = None
+        x_6 = torch.conv2d(
+            cat_2,
+            l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_2 = l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        bottom_3 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_4 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_4 = None
+        bottom_5 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_14 = torch.conv2d(
+            bottom_5,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_5 = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_60 = torch.conv2d(
+            x_8,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_61 = torch.nn.functional.batch_norm(
+            out_60,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_60 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_62 = torch.nn.functional.relu(out_61, inplace=True)
+        out_61 = None
+        out_63 = torch.conv2d(
+            out_62,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_62 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_64 = torch.nn.functional.batch_norm(
+            out_63,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_63 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_65 = torch.nn.functional.relu(out_64, inplace=True)
+        out_64 = None
+        out_66 = torch.conv2d(
+            out_65,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_65 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_67 = torch.nn.functional.batch_norm(
+            out_66,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_66 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_67 += input_15
+        out_68 = out_67
+        out_67 = input_15 = None
+        out_69 = torch.nn.functional.relu(out_68, inplace=True)
+        out_68 = None
+        out_70 = torch.conv2d(
+            out_69,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_71 = torch.nn.functional.batch_norm(
+            out_70,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_70 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_72 = torch.nn.functional.relu(out_71, inplace=True)
+        out_71 = None
+        out_73 = torch.conv2d(
+            out_72,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_72 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_74 = torch.nn.functional.batch_norm(
+            out_73,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_73 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_75 = torch.nn.functional.relu(out_74, inplace=True)
+        out_74 = None
+        out_76 = torch.conv2d(
+            out_75,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_75 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_77 = torch.nn.functional.batch_norm(
+            out_76,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_76 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_77 += out_69
+        out_78 = out_77
+        out_77 = None
+        out_79 = torch.nn.functional.relu(out_78, inplace=True)
+        out_78 = None
+        cat_3 = torch.cat([out_79, out_69], 1)
+        out_79 = out_69 = None
+        x_9 = torch.conv2d(
+            cat_3,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_3 = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        out_80 = torch.conv2d(
+            x_11,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_81 = torch.nn.functional.batch_norm(
+            out_80,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_80 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_82 = torch.nn.functional.relu(out_81, inplace=True)
+        out_81 = None
+        out_83 = torch.conv2d(
+            out_82,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_82 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_84 = torch.nn.functional.batch_norm(
+            out_83,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_83 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_85 = torch.nn.functional.relu(out_84, inplace=True)
+        out_84 = None
+        out_86 = torch.conv2d(
+            out_85,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_85 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_87 = torch.nn.functional.batch_norm(
+            out_86,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_86 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_87 += x_11
+        out_88 = out_87
+        out_87 = None
+        out_89 = torch.nn.functional.relu(out_88, inplace=True)
+        out_88 = None
+        out_90 = torch.conv2d(
+            out_89,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_91 = torch.nn.functional.batch_norm(
+            out_90,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_90 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_92 = torch.nn.functional.relu(out_91, inplace=True)
+        out_91 = None
+        out_93 = torch.conv2d(
+            out_92,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_92 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_94 = torch.nn.functional.batch_norm(
+            out_93,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_93 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_95 = torch.nn.functional.relu(out_94, inplace=True)
+        out_94 = None
+        out_96 = torch.conv2d(
+            out_95,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_95 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_97 = torch.nn.functional.batch_norm(
+            out_96,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_96 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_97 += out_89
+        out_98 = out_97
+        out_97 = None
+        out_99 = torch.nn.functional.relu(out_98, inplace=True)
+        out_98 = None
+        cat_4 = torch.cat([out_99, out_89, x_11], 1)
+        out_99 = out_89 = x_11 = None
+        x_12 = torch.conv2d(
+            cat_4,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_4 = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        out_100 = torch.conv2d(
+            x_14,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_101 = torch.nn.functional.batch_norm(
+            out_100,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_100 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_102 = torch.nn.functional.relu(out_101, inplace=True)
+        out_101 = None
+        out_103 = torch.conv2d(
+            out_102,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_102 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_104 = torch.nn.functional.batch_norm(
+            out_103,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_103 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_105 = torch.nn.functional.relu(out_104, inplace=True)
+        out_104 = None
+        out_106 = torch.conv2d(
+            out_105,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_105 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_107 = torch.nn.functional.batch_norm(
+            out_106,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_106 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_107 += x_14
+        out_108 = out_107
+        out_107 = None
+        out_109 = torch.nn.functional.relu(out_108, inplace=True)
+        out_108 = None
+        out_110 = torch.conv2d(
+            out_109,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_111 = torch.nn.functional.batch_norm(
+            out_110,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_110 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_112 = torch.nn.functional.relu(out_111, inplace=True)
+        out_111 = None
+        out_113 = torch.conv2d(
+            out_112,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_112 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_114 = torch.nn.functional.batch_norm(
+            out_113,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_113 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_115 = torch.nn.functional.relu(out_114, inplace=True)
+        out_114 = None
+        out_116 = torch.conv2d(
+            out_115,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_115 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_117 = torch.nn.functional.batch_norm(
+            out_116,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_116 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_117 += out_109
+        out_118 = out_117
+        out_117 = None
+        out_119 = torch.nn.functional.relu(out_118, inplace=True)
+        out_118 = None
+        cat_5 = torch.cat([out_119, out_109], 1)
+        out_119 = out_109 = None
+        x_15 = torch.conv2d(
+            cat_5,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_5 = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_17 = torch.nn.functional.relu(x_16, inplace=True)
+        x_16 = None
+        out_120 = torch.conv2d(
+            x_17,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_121 = torch.nn.functional.batch_norm(
+            out_120,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_120 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_122 = torch.nn.functional.relu(out_121, inplace=True)
+        out_121 = None
+        out_123 = torch.conv2d(
+            out_122,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_122 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_124 = torch.nn.functional.batch_norm(
+            out_123,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_123 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_125 = torch.nn.functional.relu(out_124, inplace=True)
+        out_124 = None
+        out_126 = torch.conv2d(
+            out_125,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_125 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_127 = torch.nn.functional.batch_norm(
+            out_126,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_126 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_127 += x_17
+        out_128 = out_127
+        out_127 = None
+        out_129 = torch.nn.functional.relu(out_128, inplace=True)
+        out_128 = None
+        out_130 = torch.conv2d(
+            out_129,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_131 = torch.nn.functional.batch_norm(
+            out_130,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_130 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_132 = torch.nn.functional.relu(out_131, inplace=True)
+        out_131 = None
+        out_133 = torch.conv2d(
+            out_132,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_132 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_134 = torch.nn.functional.batch_norm(
+            out_133,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_133 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_135 = torch.nn.functional.relu(out_134, inplace=True)
+        out_134 = None
+        out_136 = torch.conv2d(
+            out_135,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_135 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_137 = torch.nn.functional.batch_norm(
+            out_136,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_136 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_137 += out_129
+        out_138 = out_137
+        out_137 = None
+        out_139 = torch.nn.functional.relu(out_138, inplace=True)
+        out_138 = None
+        cat_6 = torch.cat([out_139, out_129, bottom_3, x_14, x_17], 1)
+        out_139 = out_129 = bottom_3 = x_14 = x_17 = None
+        x_18 = torch.conv2d(
+            cat_6,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_6 = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        bottom_6 = torch.nn.functional.max_pool2d(
+            x_20, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_16 = torch.conv2d(
+            bottom_6,
+            l_self_modules_level5_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = None
+        input_17 = torch.nn.functional.batch_norm(
+            input_16,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level5_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_16 = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level5_modules_project_modules_1_parameters_bias_ = None
+        out_140 = torch.conv2d(
+            x_20,
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = (
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_141 = torch.nn.functional.batch_norm(
+            out_140,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_140 = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_142 = torch.nn.functional.relu(out_141, inplace=True)
+        out_141 = None
+        out_143 = torch.conv2d(
+            out_142,
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_142 = (
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_144 = torch.nn.functional.batch_norm(
+            out_143,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_143 = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_145 = torch.nn.functional.relu(out_144, inplace=True)
+        out_144 = None
+        out_146 = torch.conv2d(
+            out_145,
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_145 = (
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_147 = torch.nn.functional.batch_norm(
+            out_146,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_146 = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_147 += input_17
+        out_148 = out_147
+        out_147 = input_17 = None
+        out_149 = torch.nn.functional.relu(out_148, inplace=True)
+        out_148 = None
+        out_150 = torch.conv2d(
+            out_149,
+            l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_151 = torch.nn.functional.batch_norm(
+            out_150,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_150 = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_152 = torch.nn.functional.relu(out_151, inplace=True)
+        out_151 = None
+        out_153 = torch.conv2d(
+            out_152,
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_152 = (
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_154 = torch.nn.functional.batch_norm(
+            out_153,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_153 = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_155 = torch.nn.functional.relu(out_154, inplace=True)
+        out_154 = None
+        out_156 = torch.conv2d(
+            out_155,
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_155 = (
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_157 = torch.nn.functional.batch_norm(
+            out_156,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_156 = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_157 += out_149
+        out_158 = out_157
+        out_157 = None
+        out_159 = torch.nn.functional.relu(out_158, inplace=True)
+        out_158 = None
+        cat_7 = torch.cat([out_159, out_149, bottom_6], 1)
+        out_159 = out_149 = bottom_6 = None
+        x_21 = torch.conv2d(
+            cat_7,
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_7 = (
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        ) = None
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = None
+        x_23 = torch.nn.functional.relu(x_22, inplace=True)
+        x_22 = None
+        x_24 = torch.nn.functional.adaptive_avg_pool2d(x_23, 1)
+        x_23 = None
+        x_25 = torch.nn.functional.dropout(x_24, 0.0, False, False)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        x_27 = x_26.flatten(1, -1)
+        x_26 = None
+        return (x_27,)
diff --git a/samples/timm/dla60x.in1k/weight_meta.py b/samples/timm/dla60x.in1k/weight_meta.py
new file mode 100644
index 000000000..d4368df62
--- /dev/null
+++ b/samples/timm/dla60x.in1k/weight_meta.py
@@ -0,0 +1,3222 @@
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_0_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_0_parameters_weight_"
+    shape = [16, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.227
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_mean_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_var_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_bias_:
+    name = "L_self_modules_base_layer_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_0_parameters_weight_:
+    name = "L_self_modules_level0_modules_0_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level0_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_var_:
+    name = "L_self_modules_level0_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_weight_:
+    name = "L_self_modules_level0_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_bias_:
+    name = "L_self_modules_level0_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_0_parameters_weight_:
+    name = "L_self_modules_level1_modules_0_parameters_weight_"
+    shape = [32, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_var_:
+    name = "L_self_modules_level1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_weight_:
+    name = "L_self_modules_level1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_bias_:
+    name = "L_self_modules_level1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_0_parameters_weight_"
+    shape = [128, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_project_modules_1_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [512, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [1024, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [1024, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_conv_parameters_weight_"
+    shape = [1024, 2560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
diff --git a/samples/timm/dla60x_c.in1k/graph_hash.txt b/samples/timm/dla60x_c.in1k/graph_hash.txt
new file mode 100644
index 000000000..4bd807098
--- /dev/null
+++ b/samples/timm/dla60x_c.in1k/graph_hash.txt
@@ -0,0 +1 @@
+e3273901ce83d3d3f123cd583559f8e2d13a515ec24886e85e853ac5af8d634f
\ No newline at end of file
diff --git a/samples/timm/dla60x_c.in1k/graph_net.json b/samples/timm/dla60x_c.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dla60x_c.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dla60x_c.in1k/input_meta.py b/samples/timm/dla60x_c.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla60x_c.in1k/input_tensor_constraints.py b/samples/timm/dla60x_c.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dla60x_c.in1k/model.py b/samples/timm/dla60x_c.in1k/model.py
new file mode 100644
index 000000000..976aab811
--- /dev/null
+++ b/samples/timm/dla60x_c.in1k/model.py
@@ -0,0 +1,2515 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_base_layer_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_base_layer_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_base_layer_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_project_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_project_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_level5_modules_root_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_level5_modules_root_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_base_layer_modules_0_parameters_weight_ = (
+            L_self_modules_base_layer_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_base_layer_modules_1_buffers_running_mean_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_mean_
+        )
+        l_self_modules_base_layer_modules_1_buffers_running_var_ = (
+            L_self_modules_base_layer_modules_1_buffers_running_var_
+        )
+        l_self_modules_base_layer_modules_1_parameters_weight_ = (
+            L_self_modules_base_layer_modules_1_parameters_weight_
+        )
+        l_self_modules_base_layer_modules_1_parameters_bias_ = (
+            L_self_modules_base_layer_modules_1_parameters_bias_
+        )
+        l_self_modules_level0_modules_0_parameters_weight_ = (
+            L_self_modules_level0_modules_0_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_buffers_running_mean_ = (
+            L_self_modules_level0_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level0_modules_1_buffers_running_var_ = (
+            L_self_modules_level0_modules_1_buffers_running_var_
+        )
+        l_self_modules_level0_modules_1_parameters_weight_ = (
+            L_self_modules_level0_modules_1_parameters_weight_
+        )
+        l_self_modules_level0_modules_1_parameters_bias_ = (
+            L_self_modules_level0_modules_1_parameters_bias_
+        )
+        l_self_modules_level1_modules_0_parameters_weight_ = (
+            L_self_modules_level1_modules_0_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_buffers_running_mean_ = (
+            L_self_modules_level1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level1_modules_1_buffers_running_var_ = (
+            L_self_modules_level1_modules_1_buffers_running_var_
+        )
+        l_self_modules_level1_modules_1_parameters_weight_ = (
+            L_self_modules_level1_modules_1_parameters_weight_
+        )
+        l_self_modules_level1_modules_1_parameters_bias_ = (
+            L_self_modules_level1_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level2_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level2_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level2_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_0_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_project_modules_1_buffers_running_var_ = (
+            L_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_weight_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_weight_
+        )
+        l_self_modules_level5_modules_project_modules_1_parameters_bias_ = (
+            L_self_modules_level5_modules_project_modules_1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = (
+            L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_level5_modules_root_modules_conv_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_level5_modules_root_modules_bn_buffers_running_var_ = (
+            L_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_weight_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        )
+        l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = (
+            L_self_modules_level5_modules_root_modules_bn_parameters_bias_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_base_layer_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_base_layer_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_base_layer_modules_1_buffers_running_mean_,
+            l_self_modules_base_layer_modules_1_buffers_running_var_,
+            l_self_modules_base_layer_modules_1_parameters_weight_,
+            l_self_modules_base_layer_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_base_layer_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_base_layer_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_base_layer_modules_1_parameters_weight_
+        ) = l_self_modules_base_layer_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_level0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_level0_modules_0_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_level0_modules_1_buffers_running_mean_,
+            l_self_modules_level0_modules_1_buffers_running_var_,
+            l_self_modules_level0_modules_1_parameters_weight_,
+            l_self_modules_level0_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_level0_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level0_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level0_modules_1_parameters_weight_
+        ) = l_self_modules_level0_modules_1_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_level1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_level1_modules_0_parameters_weight_ = None
+        input_8 = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_level1_modules_1_buffers_running_mean_,
+            l_self_modules_level1_modules_1_buffers_running_var_,
+            l_self_modules_level1_modules_1_parameters_weight_,
+            l_self_modules_level1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_level1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level1_modules_1_parameters_weight_
+        ) = l_self_modules_level1_modules_1_parameters_bias_ = None
+        input_9 = torch.nn.functional.relu(input_8, inplace=True)
+        input_8 = None
+        bottom = torch.nn.functional.max_pool2d(
+            input_9, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_10 = torch.conv2d(
+            bottom,
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom = (
+            l_self_modules_level2_modules_project_modules_0_parameters_weight_
+        ) = None
+        input_11 = torch.nn.functional.batch_norm(
+            input_10,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level2_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_10 = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level2_modules_project_modules_1_parameters_bias_ = None
+        out = torch.conv2d(
+            input_9,
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = (
+            l_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_1 = torch.nn.functional.batch_norm(
+            out,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_2 = torch.nn.functional.relu(out_1, inplace=True)
+        out_1 = None
+        out_3 = torch.conv2d(
+            out_2,
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_2 = (
+            l_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_4 = torch.nn.functional.batch_norm(
+            out_3,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_3 = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_5 = torch.nn.functional.relu(out_4, inplace=True)
+        out_4 = None
+        out_6 = torch.conv2d(
+            out_5,
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_5 = (
+            l_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_7 = torch.nn.functional.batch_norm(
+            out_6,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_6 = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_7 += input_11
+        out_8 = out_7
+        out_7 = input_11 = None
+        out_9 = torch.nn.functional.relu(out_8, inplace=True)
+        out_8 = None
+        out_10 = torch.conv2d(
+            out_9,
+            l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_11 = torch.nn.functional.batch_norm(
+            out_10,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_10 = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_12 = torch.nn.functional.relu(out_11, inplace=True)
+        out_11 = None
+        out_13 = torch.conv2d(
+            out_12,
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_12 = (
+            l_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_14 = torch.nn.functional.batch_norm(
+            out_13,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_13 = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_15 = torch.nn.functional.relu(out_14, inplace=True)
+        out_14 = None
+        out_16 = torch.conv2d(
+            out_15,
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_15 = (
+            l_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_17 = torch.nn.functional.batch_norm(
+            out_16,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_16 = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_17 += out_9
+        out_18 = out_17
+        out_17 = None
+        out_19 = torch.nn.functional.relu(out_18, inplace=True)
+        out_18 = None
+        cat = torch.cat([out_19, out_9], 1)
+        out_19 = out_9 = None
+        x = torch.conv2d(
+            cat,
+            l_self_modules_level2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat = l_self_modules_level2_modules_root_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level2_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level2_modules_root_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        bottom_1 = torch.nn.functional.max_pool2d(
+            x_2, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_2 = torch.nn.functional.max_pool2d(
+            x_2, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        out_20 = torch.conv2d(
+            x_2,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_21 = torch.nn.functional.batch_norm(
+            out_20,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_20 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_22 = torch.nn.functional.relu(out_21, inplace=True)
+        out_21 = None
+        out_23 = torch.conv2d(
+            out_22,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_22 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_24 = torch.nn.functional.batch_norm(
+            out_23,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_23 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_25 = torch.nn.functional.relu(out_24, inplace=True)
+        out_24 = None
+        out_26 = torch.conv2d(
+            out_25,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_25 = l_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_27 = torch.nn.functional.batch_norm(
+            out_26,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_26 = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_27 += bottom_2
+        out_28 = out_27
+        out_27 = bottom_2 = None
+        out_29 = torch.nn.functional.relu(out_28, inplace=True)
+        out_28 = None
+        out_30 = torch.conv2d(
+            out_29,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_31 = torch.nn.functional.batch_norm(
+            out_30,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_30 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_32 = torch.nn.functional.relu(out_31, inplace=True)
+        out_31 = None
+        out_33 = torch.conv2d(
+            out_32,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_32 = l_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_34 = torch.nn.functional.batch_norm(
+            out_33,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_33 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_35 = torch.nn.functional.relu(out_34, inplace=True)
+        out_34 = None
+        out_36 = torch.conv2d(
+            out_35,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_35 = l_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_37 = torch.nn.functional.batch_norm(
+            out_36,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_36 = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_37 += out_29
+        out_38 = out_37
+        out_37 = None
+        out_39 = torch.nn.functional.relu(out_38, inplace=True)
+        out_38 = None
+        cat_1 = torch.cat([out_39, out_29], 1)
+        out_39 = out_29 = None
+        x_3 = torch.conv2d(
+            cat_1,
+            l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_1 = l_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        out_40 = torch.conv2d(
+            x_5,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_41 = torch.nn.functional.batch_norm(
+            out_40,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_40 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_42 = torch.nn.functional.relu(out_41, inplace=True)
+        out_41 = None
+        out_43 = torch.conv2d(
+            out_42,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_42 = l_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_44 = torch.nn.functional.batch_norm(
+            out_43,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_43 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_45 = torch.nn.functional.relu(out_44, inplace=True)
+        out_44 = None
+        out_46 = torch.conv2d(
+            out_45,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_45 = l_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_47 = torch.nn.functional.batch_norm(
+            out_46,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_46 = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_47 += x_5
+        out_48 = out_47
+        out_47 = None
+        out_49 = torch.nn.functional.relu(out_48, inplace=True)
+        out_48 = None
+        out_50 = torch.conv2d(
+            out_49,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_51 = torch.nn.functional.batch_norm(
+            out_50,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_50 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_52 = torch.nn.functional.relu(out_51, inplace=True)
+        out_51 = None
+        out_53 = torch.conv2d(
+            out_52,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_52 = l_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_54 = torch.nn.functional.batch_norm(
+            out_53,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_53 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_55 = torch.nn.functional.relu(out_54, inplace=True)
+        out_54 = None
+        out_56 = torch.conv2d(
+            out_55,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_55 = l_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_57 = torch.nn.functional.batch_norm(
+            out_56,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_56 = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_57 += out_49
+        out_58 = out_57
+        out_57 = None
+        out_59 = torch.nn.functional.relu(out_58, inplace=True)
+        out_58 = None
+        cat_2 = torch.cat([out_59, out_49, bottom_1, x_5], 1)
+        out_59 = out_49 = bottom_1 = x_5 = None
+        x_6 = torch.conv2d(
+            cat_2,
+            l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_2 = l_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_ = (
+            l_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_
+        ) = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        bottom_3 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_4 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        bottom_4 = None
+        bottom_5 = torch.nn.functional.max_pool2d(
+            x_8, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_12 = torch.conv2d(
+            bottom_5,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        bottom_5 = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_ = (None)
+        input_13 = torch.nn.functional.batch_norm(
+            input_12,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_12 = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_ = (None)
+        out_60 = torch.conv2d(
+            x_8,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (None)
+        out_61 = torch.nn.functional.batch_norm(
+            out_60,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_60 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_62 = torch.nn.functional.relu(out_61, inplace=True)
+        out_61 = None
+        out_63 = torch.conv2d(
+            out_62,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_62 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_64 = torch.nn.functional.batch_norm(
+            out_63,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_63 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_65 = torch.nn.functional.relu(out_64, inplace=True)
+        out_64 = None
+        out_66 = torch.conv2d(
+            out_65,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_65 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_67 = torch.nn.functional.batch_norm(
+            out_66,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_66 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_67 += input_13
+        out_68 = out_67
+        out_67 = input_13 = None
+        out_69 = torch.nn.functional.relu(out_68, inplace=True)
+        out_68 = None
+        out_70 = torch.conv2d(
+            out_69,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_71 = torch.nn.functional.batch_norm(
+            out_70,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_70 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_72 = torch.nn.functional.relu(out_71, inplace=True)
+        out_71 = None
+        out_73 = torch.conv2d(
+            out_72,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_72 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_74 = torch.nn.functional.batch_norm(
+            out_73,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_73 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_75 = torch.nn.functional.relu(out_74, inplace=True)
+        out_74 = None
+        out_76 = torch.conv2d(
+            out_75,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_75 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_77 = torch.nn.functional.batch_norm(
+            out_76,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_76 = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_77 += out_69
+        out_78 = out_77
+        out_77 = None
+        out_79 = torch.nn.functional.relu(out_78, inplace=True)
+        out_78 = None
+        cat_3 = torch.cat([out_79, out_69], 1)
+        out_79 = out_69 = None
+        x_9 = torch.conv2d(
+            cat_3,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_3 = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        out_80 = torch.conv2d(
+            x_11,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_81 = torch.nn.functional.batch_norm(
+            out_80,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_80 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_82 = torch.nn.functional.relu(out_81, inplace=True)
+        out_81 = None
+        out_83 = torch.conv2d(
+            out_82,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_82 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_84 = torch.nn.functional.batch_norm(
+            out_83,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_83 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_85 = torch.nn.functional.relu(out_84, inplace=True)
+        out_84 = None
+        out_86 = torch.conv2d(
+            out_85,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_85 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_87 = torch.nn.functional.batch_norm(
+            out_86,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_86 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_87 += x_11
+        out_88 = out_87
+        out_87 = None
+        out_89 = torch.nn.functional.relu(out_88, inplace=True)
+        out_88 = None
+        out_90 = torch.conv2d(
+            out_89,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_91 = torch.nn.functional.batch_norm(
+            out_90,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_90 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_92 = torch.nn.functional.relu(out_91, inplace=True)
+        out_91 = None
+        out_93 = torch.conv2d(
+            out_92,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_92 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_94 = torch.nn.functional.batch_norm(
+            out_93,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_93 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_95 = torch.nn.functional.relu(out_94, inplace=True)
+        out_94 = None
+        out_96 = torch.conv2d(
+            out_95,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_95 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_97 = torch.nn.functional.batch_norm(
+            out_96,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_96 = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_97 += out_89
+        out_98 = out_97
+        out_97 = None
+        out_99 = torch.nn.functional.relu(out_98, inplace=True)
+        out_98 = None
+        cat_4 = torch.cat([out_99, out_89, x_11], 1)
+        out_99 = out_89 = x_11 = None
+        x_12 = torch.conv2d(
+            cat_4,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_4 = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        out_100 = torch.conv2d(
+            x_14,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_101 = torch.nn.functional.batch_norm(
+            out_100,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_100 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_102 = torch.nn.functional.relu(out_101, inplace=True)
+        out_101 = None
+        out_103 = torch.conv2d(
+            out_102,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_102 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_104 = torch.nn.functional.batch_norm(
+            out_103,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_103 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_105 = torch.nn.functional.relu(out_104, inplace=True)
+        out_104 = None
+        out_106 = torch.conv2d(
+            out_105,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_105 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_107 = torch.nn.functional.batch_norm(
+            out_106,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_106 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_107 += x_14
+        out_108 = out_107
+        out_107 = None
+        out_109 = torch.nn.functional.relu(out_108, inplace=True)
+        out_108 = None
+        out_110 = torch.conv2d(
+            out_109,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_111 = torch.nn.functional.batch_norm(
+            out_110,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_110 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_112 = torch.nn.functional.relu(out_111, inplace=True)
+        out_111 = None
+        out_113 = torch.conv2d(
+            out_112,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_112 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_114 = torch.nn.functional.batch_norm(
+            out_113,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_113 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_115 = torch.nn.functional.relu(out_114, inplace=True)
+        out_114 = None
+        out_116 = torch.conv2d(
+            out_115,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_115 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_117 = torch.nn.functional.batch_norm(
+            out_116,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_116 = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_117 += out_109
+        out_118 = out_117
+        out_117 = None
+        out_119 = torch.nn.functional.relu(out_118, inplace=True)
+        out_118 = None
+        cat_5 = torch.cat([out_119, out_109], 1)
+        out_119 = out_109 = None
+        x_15 = torch.conv2d(
+            cat_5,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_5 = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_ = (None)
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_ = (None)
+        x_17 = torch.nn.functional.relu(x_16, inplace=True)
+        x_16 = None
+        out_120 = torch.conv2d(
+            x_17,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_121 = torch.nn.functional.batch_norm(
+            out_120,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_120 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_ = (None)
+        out_122 = torch.nn.functional.relu(out_121, inplace=True)
+        out_121 = None
+        out_123 = torch.conv2d(
+            out_122,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_122 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_ = (None)
+        out_124 = torch.nn.functional.batch_norm(
+            out_123,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_123 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_ = (None)
+        out_125 = torch.nn.functional.relu(out_124, inplace=True)
+        out_124 = None
+        out_126 = torch.conv2d(
+            out_125,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_125 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_ = (None)
+        out_127 = torch.nn.functional.batch_norm(
+            out_126,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_126 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_ = (None)
+        out_127 += x_17
+        out_128 = out_127
+        out_127 = None
+        out_129 = torch.nn.functional.relu(out_128, inplace=True)
+        out_128 = None
+        out_130 = torch.conv2d(
+            out_129,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_ = (
+            None
+        )
+        out_131 = torch.nn.functional.batch_norm(
+            out_130,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_130 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_ = (None)
+        out_132 = torch.nn.functional.relu(out_131, inplace=True)
+        out_131 = None
+        out_133 = torch.conv2d(
+            out_132,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_132 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_ = (None)
+        out_134 = torch.nn.functional.batch_norm(
+            out_133,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_133 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_ = (None)
+        out_135 = torch.nn.functional.relu(out_134, inplace=True)
+        out_134 = None
+        out_136 = torch.conv2d(
+            out_135,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_135 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_ = (None)
+        out_137 = torch.nn.functional.batch_norm(
+            out_136,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_136 = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_ = (None)
+        out_137 += out_129
+        out_138 = out_137
+        out_137 = None
+        out_139 = torch.nn.functional.relu(out_138, inplace=True)
+        out_138 = None
+        cat_6 = torch.cat([out_139, out_129, bottom_3, x_14, x_17], 1)
+        out_139 = out_129 = bottom_3 = x_14 = x_17 = None
+        x_18 = torch.conv2d(
+            cat_6,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_6 = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_ = l_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_ = (None)
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        bottom_6 = torch.nn.functional.max_pool2d(
+            x_20, 2, 2, 0, 1, ceil_mode=False, return_indices=False
+        )
+        input_14 = torch.conv2d(
+            bottom_6,
+            l_self_modules_level5_modules_project_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_project_modules_0_parameters_weight_ = None
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_,
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_,
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_,
+            l_self_modules_level5_modules_project_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_project_modules_1_parameters_weight_
+        ) = l_self_modules_level5_modules_project_modules_1_parameters_bias_ = None
+        out_140 = torch.conv2d(
+            x_20,
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = (
+            l_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_
+        ) = None
+        out_141 = torch.nn.functional.batch_norm(
+            out_140,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_140 = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_ = None
+        out_142 = torch.nn.functional.relu(out_141, inplace=True)
+        out_141 = None
+        out_143 = torch.conv2d(
+            out_142,
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_142 = (
+            l_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_
+        ) = None
+        out_144 = torch.nn.functional.batch_norm(
+            out_143,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_143 = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_ = None
+        out_145 = torch.nn.functional.relu(out_144, inplace=True)
+        out_144 = None
+        out_146 = torch.conv2d(
+            out_145,
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_145 = (
+            l_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_
+        ) = None
+        out_147 = torch.nn.functional.batch_norm(
+            out_146,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_146 = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_ = None
+        out_147 += input_15
+        out_148 = out_147
+        out_147 = input_15 = None
+        out_149 = torch.nn.functional.relu(out_148, inplace=True)
+        out_148 = None
+        out_150 = torch.conv2d(
+            out_149,
+            l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_ = None
+        out_151 = torch.nn.functional.batch_norm(
+            out_150,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_150 = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_ = None
+        out_152 = torch.nn.functional.relu(out_151, inplace=True)
+        out_151 = None
+        out_153 = torch.conv2d(
+            out_152,
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        out_152 = (
+            l_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_
+        ) = None
+        out_154 = torch.nn.functional.batch_norm(
+            out_153,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_153 = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_ = None
+        out_155 = torch.nn.functional.relu(out_154, inplace=True)
+        out_154 = None
+        out_156 = torch.conv2d(
+            out_155,
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_155 = (
+            l_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_
+        ) = None
+        out_157 = torch.nn.functional.batch_norm(
+            out_156,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_,
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_,
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        out_156 = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_
+        ) = l_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_ = None
+        out_157 += out_149
+        out_158 = out_157
+        out_157 = None
+        out_159 = torch.nn.functional.relu(out_158, inplace=True)
+        out_158 = None
+        cat_7 = torch.cat([out_159, out_149, bottom_6], 1)
+        out_159 = out_149 = bottom_6 = None
+        x_21 = torch.conv2d(
+            cat_7,
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        cat_7 = (
+            l_self_modules_level5_modules_root_modules_conv_parameters_weight_
+        ) = None
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_,
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_,
+            l_self_modules_level5_modules_root_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_level5_modules_root_modules_bn_parameters_weight_
+        ) = l_self_modules_level5_modules_root_modules_bn_parameters_bias_ = None
+        x_23 = torch.nn.functional.relu(x_22, inplace=True)
+        x_22 = None
+        x_24 = torch.nn.functional.adaptive_avg_pool2d(x_23, 1)
+        x_23 = None
+        x_25 = torch.nn.functional.dropout(x_24, 0.0, False, False)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        x_27 = x_26.flatten(1, -1)
+        x_26 = None
+        return (x_27,)
diff --git a/samples/timm/dla60x_c.in1k/weight_meta.py b/samples/timm/dla60x_c.in1k/weight_meta.py
new file mode 100644
index 000000000..8b785c757
--- /dev/null
+++ b/samples/timm/dla60x_c.in1k/weight_meta.py
@@ -0,0 +1,3170 @@
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_0_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_0_parameters_weight_"
+    shape = [16, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.224
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_mean_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_buffers_running_var_:
+    name = "L_self_modules_base_layer_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_weight_:
+    name = "L_self_modules_base_layer_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_base_layer_modules_1_parameters_bias_:
+    name = "L_self_modules_base_layer_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_0_parameters_weight_:
+    name = "L_self_modules_level0_modules_0_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.117
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level0_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_buffers_running_var_:
+    name = "L_self_modules_level0_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_weight_:
+    name = "L_self_modules_level0_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level0_modules_1_parameters_bias_:
+    name = "L_self_modules_level0_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_0_parameters_weight_:
+    name = "L_self_modules_level1_modules_0_parameters_weight_"
+    shape = [32, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_buffers_running_var_:
+    name = "L_self_modules_level1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_weight_:
+    name = "L_self_modules_level1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level1_modules_1_parameters_bias_:
+    name = "L_self_modules_level1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_0_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.182
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_project_modules_1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level2_modules_project_modules_1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.180
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_conv_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level2_modules_root_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level2_modules_root_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.174
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.174
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [64, 2, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level3_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_level3_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_0_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_project_modules_1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree1_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.123
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree1_modules_root_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_conv_parameters_weight_"
+    shape = [128, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level4_modules_tree2_modules_tree2_modules_root_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_0_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_project_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_weight_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_project_modules_1_parameters_bias_:
+    name = "L_self_modules_level5_modules_project_modules_1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv1_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv1_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv2_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_conv3_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_level5_modules_tree2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_conv_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_conv_parameters_weight_"
+    shape = [256, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_buffers_running_var_:
+    name = "L_self_modules_level5_modules_root_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_weight_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_level5_modules_root_modules_bn_parameters_bias_:
+    name = "L_self_modules_level5_modules_root_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
diff --git a/samples/timm/dpn107.mx_in1k/graph_hash.txt b/samples/timm/dpn107.mx_in1k/graph_hash.txt
new file mode 100644
index 000000000..6d163b3bb
--- /dev/null
+++ b/samples/timm/dpn107.mx_in1k/graph_hash.txt
@@ -0,0 +1 @@
+ee327347e8544477b1fc8020a1dee695506f38526c1ed2317af44987777d6516
\ No newline at end of file
diff --git a/samples/timm/dpn107.mx_in1k/graph_net.json b/samples/timm/dpn107.mx_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dpn107.mx_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dpn107.mx_in1k/input_meta.py b/samples/timm/dpn107.mx_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn107.mx_in1k/input_tensor_constraints.py b/samples/timm/dpn107.mx_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn107.mx_in1k/model.py b/samples/timm/dpn107.mx_in1k/model.py
new file mode 100644
index 000000000..66134f768
--- /dev/null
+++ b/samples/timm/dpn107.mx_in1k/model.py
@@ -0,0 +1,4566 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        ) = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        ) = l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        input_1 = torch.nn.functional.max_pool2d(
+            x_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_2 = None
+        x_3 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = (None)
+        x_4 = torch.nn.functional.relu(x_3, inplace=True)
+        x_3 = None
+        x_s = torch.conv2d(
+            x_4,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_4 = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = (None)
+        x_s1 = x_s[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2 = x_s[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s = None
+        x_5 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        input_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_6 = torch.nn.functional.relu(x_5, inplace=True)
+        x_5 = None
+        x_in = torch.conv2d(
+            x_6,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_in,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_in_1 = torch.conv2d(
+            x_8,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_8 = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_in_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_in_2 = torch.conv2d(
+            x_10,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1 = x_in_2[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2 = x_in_2[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_2 = None
+        resid = x_s1 + out1
+        x_s1 = out1 = None
+        dense = torch.cat([x_s2, out2], dim=1)
+        x_s2 = out2 = None
+        x_in_3 = torch.cat((resid, dense), dim=1)
+        x_11 = torch.nn.functional.batch_norm(
+            x_in_3,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_3 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_12 = torch.nn.functional.relu(x_11, inplace=True)
+        x_11 = None
+        x_in_4 = torch.conv2d(
+            x_12,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_in_4,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_4 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        x_in_5 = torch.conv2d(
+            x_14,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_14 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_in_5,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_5 = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_in_6 = torch.conv2d(
+            x_16,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_1 = x_in_6[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_1 = x_in_6[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_6 = None
+        resid_1 = resid + out1_1
+        resid = out1_1 = None
+        dense_1 = torch.cat([dense, out2_1], dim=1)
+        dense = out2_1 = None
+        x_in_7 = torch.cat((resid_1, dense_1), dim=1)
+        x_17 = torch.nn.functional.batch_norm(
+            x_in_7,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_7 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_18 = torch.nn.functional.relu(x_17, inplace=True)
+        x_17 = None
+        x_in_8 = torch.conv2d(
+            x_18,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_18 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_in_8,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_8 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_in_9 = torch.conv2d(
+            x_20,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_20 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_21 = torch.nn.functional.batch_norm(
+            x_in_9,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_9 = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_22 = torch.nn.functional.relu(x_21, inplace=True)
+        x_21 = None
+        x_in_10 = torch.conv2d(
+            x_22,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_2 = x_in_10[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_2 = x_in_10[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_10 = None
+        resid_2 = resid_1 + out1_2
+        resid_1 = out1_2 = None
+        dense_2 = torch.cat([dense_1, out2_2], dim=1)
+        dense_1 = out2_2 = None
+        x_in_11 = torch.cat((resid_2, dense_2), dim=1)
+        x_23 = torch.nn.functional.batch_norm(
+            x_in_11,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_11 = l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_in_12 = torch.conv2d(
+            x_24,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_in_12,
+            l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_12 = l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_26 = torch.nn.functional.relu(x_25, inplace=True)
+        x_25 = None
+        x_in_13 = torch.conv2d(
+            x_26,
+            l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_26 = l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_27 = torch.nn.functional.batch_norm(
+            x_in_13,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_13 = l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.relu(x_27, inplace=True)
+        x_27 = None
+        x_in_14 = torch.conv2d(
+            x_28,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_3 = x_in_14[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_3 = x_in_14[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_14 = None
+        resid_3 = resid_2 + out1_3
+        resid_2 = out1_3 = None
+        dense_3 = torch.cat([dense_2, out2_3], dim=1)
+        dense_2 = out2_3 = None
+        x_in_15 = torch.cat((resid_3, dense_3), dim=1)
+        resid_3 = dense_3 = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_in_15,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_s_1 = torch.conv2d(
+            x_30,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_1 = None
+        x_31 = torch.nn.functional.batch_norm(
+            x_in_15,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_15 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_in_16 = torch.conv2d(
+            x_32,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_in_16,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_16 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_34 = torch.nn.functional.relu(x_33, inplace=True)
+        x_33 = None
+        x_in_17 = torch.conv2d(
+            x_34,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_34 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_in_17,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_17 = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        x_in_18 = torch.conv2d(
+            x_36,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_36 = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_4 = x_in_18[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_4 = x_in_18[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_18 = None
+        resid_4 = x_s1_1 + out1_4
+        x_s1_1 = out1_4 = None
+        dense_4 = torch.cat([x_s2_1, out2_4], dim=1)
+        x_s2_1 = out2_4 = None
+        x_in_19 = torch.cat((resid_4, dense_4), dim=1)
+        x_37 = torch.nn.functional.batch_norm(
+            x_in_19,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_19 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_in_20 = torch.conv2d(
+            x_38,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_in_20,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_20 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_40 = torch.nn.functional.relu(x_39, inplace=True)
+        x_39 = None
+        x_in_21 = torch.conv2d(
+            x_40,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_40 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_in_21,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_21 = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.relu(x_41, inplace=True)
+        x_41 = None
+        x_in_22 = torch.conv2d(
+            x_42,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_5 = x_in_22[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_5 = x_in_22[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_22 = None
+        resid_5 = resid_4 + out1_5
+        resid_4 = out1_5 = None
+        dense_5 = torch.cat([dense_4, out2_5], dim=1)
+        dense_4 = out2_5 = None
+        x_in_23 = torch.cat((resid_5, dense_5), dim=1)
+        x_43 = torch.nn.functional.batch_norm(
+            x_in_23,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_23 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_44 = torch.nn.functional.relu(x_43, inplace=True)
+        x_43 = None
+        x_in_24 = torch.conv2d(
+            x_44,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_44 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_in_24,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_24 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_in_25 = torch.conv2d(
+            x_46,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_46 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_in_25,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_25 = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_in_26 = torch.conv2d(
+            x_48,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_6 = x_in_26[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_6 = x_in_26[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_26 = None
+        resid_6 = resid_5 + out1_6
+        resid_5 = out1_6 = None
+        dense_6 = torch.cat([dense_5, out2_6], dim=1)
+        dense_5 = out2_6 = None
+        x_in_27 = torch.cat((resid_6, dense_6), dim=1)
+        x_49 = torch.nn.functional.batch_norm(
+            x_in_27,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_27 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_50 = torch.nn.functional.relu(x_49, inplace=True)
+        x_49 = None
+        x_in_28 = torch.conv2d(
+            x_50,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_50 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_51 = torch.nn.functional.batch_norm(
+            x_in_28,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_28 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_in_29 = torch.conv2d(
+            x_52,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_52 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_in_29,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_29 = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_54 = torch.nn.functional.relu(x_53, inplace=True)
+        x_53 = None
+        x_in_30 = torch.conv2d(
+            x_54,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_54 = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_7 = x_in_30[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_7 = x_in_30[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_30 = None
+        resid_7 = resid_6 + out1_7
+        resid_6 = out1_7 = None
+        dense_7 = torch.cat([dense_6, out2_7], dim=1)
+        dense_6 = out2_7 = None
+        x_in_31 = torch.cat((resid_7, dense_7), dim=1)
+        x_55 = torch.nn.functional.batch_norm(
+            x_in_31,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_31 = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.relu(x_55, inplace=True)
+        x_55 = None
+        x_in_32 = torch.conv2d(
+            x_56,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_in_32,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_32 = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_58 = torch.nn.functional.relu(x_57, inplace=True)
+        x_57 = None
+        x_in_33 = torch.conv2d(
+            x_58,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_58 = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_in_33,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_33 = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_in_34 = torch.conv2d(
+            x_60,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_8 = x_in_34[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_8 = x_in_34[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_34 = None
+        resid_8 = resid_7 + out1_8
+        resid_7 = out1_8 = None
+        dense_8 = torch.cat([dense_7, out2_8], dim=1)
+        dense_7 = out2_8 = None
+        x_in_35 = torch.cat((resid_8, dense_8), dim=1)
+        x_61 = torch.nn.functional.batch_norm(
+            x_in_35,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_35 = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.relu(x_61, inplace=True)
+        x_61 = None
+        x_in_36 = torch.conv2d(
+            x_62,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_63 = torch.nn.functional.batch_norm(
+            x_in_36,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_36 = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_64 = torch.nn.functional.relu(x_63, inplace=True)
+        x_63 = None
+        x_in_37 = torch.conv2d(
+            x_64,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_64 = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_65 = torch.nn.functional.batch_norm(
+            x_in_37,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_37 = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.relu(x_65, inplace=True)
+        x_65 = None
+        x_in_38 = torch.conv2d(
+            x_66,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_66 = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_9 = x_in_38[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_9 = x_in_38[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_38 = None
+        resid_9 = resid_8 + out1_9
+        resid_8 = out1_9 = None
+        dense_9 = torch.cat([dense_8, out2_9], dim=1)
+        dense_8 = out2_9 = None
+        x_in_39 = torch.cat((resid_9, dense_9), dim=1)
+        x_67 = torch.nn.functional.batch_norm(
+            x_in_39,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_39 = l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_in_40 = torch.conv2d(
+            x_68,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_68 = l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_69 = torch.nn.functional.batch_norm(
+            x_in_40,
+            l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_40 = l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.nn.functional.relu(x_69, inplace=True)
+        x_69 = None
+        x_in_41 = torch.conv2d(
+            x_70,
+            l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_70 = l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_in_41,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_41 = l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_in_42 = torch.conv2d(
+            x_72,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_72 = l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_10 = x_in_42[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_10 = x_in_42[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_42 = None
+        resid_10 = resid_9 + out1_10
+        resid_9 = out1_10 = None
+        dense_10 = torch.cat([dense_9, out2_10], dim=1)
+        dense_9 = out2_10 = None
+        x_in_43 = torch.cat((resid_10, dense_10), dim=1)
+        x_73 = torch.nn.functional.batch_norm(
+            x_in_43,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_43 = l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_in_44 = torch.conv2d(
+            x_74,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_75 = torch.nn.functional.batch_norm(
+            x_in_44,
+            l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_44 = l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.nn.functional.relu(x_75, inplace=True)
+        x_75 = None
+        x_in_45 = torch.conv2d(
+            x_76,
+            l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_76 = l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_in_45,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_45 = l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_in_46 = torch.conv2d(
+            x_78,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_11 = x_in_46[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_11 = x_in_46[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_46 = None
+        resid_11 = resid_10 + out1_11
+        resid_10 = out1_11 = None
+        dense_11 = torch.cat([dense_10, out2_11], dim=1)
+        dense_10 = out2_11 = None
+        x_in_47 = torch.cat((resid_11, dense_11), dim=1)
+        resid_11 = dense_11 = None
+        x_79 = torch.nn.functional.batch_norm(
+            x_in_47,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.relu(x_79, inplace=True)
+        x_79 = None
+        x_s_2 = torch.conv2d(
+            x_80,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_2 = None
+        x_81 = torch.nn.functional.batch_norm(
+            x_in_47,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_47 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_in_48 = torch.conv2d(
+            x_82,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_in_48,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_48 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.relu(x_83, inplace=True)
+        x_83 = None
+        x_in_49 = torch.conv2d(
+            x_84,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_84 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_in_49,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_49 = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_86 = torch.nn.functional.relu(x_85, inplace=True)
+        x_85 = None
+        x_in_50 = torch.conv2d(
+            x_86,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_12 = x_in_50[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_12 = x_in_50[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_50 = None
+        resid_12 = x_s1_2 + out1_12
+        x_s1_2 = out1_12 = None
+        dense_12 = torch.cat([x_s2_2, out2_12], dim=1)
+        x_s2_2 = out2_12 = None
+        x_in_51 = torch.cat((resid_12, dense_12), dim=1)
+        x_87 = torch.nn.functional.batch_norm(
+            x_in_51,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_51 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=True)
+        x_87 = None
+        x_in_52 = torch.conv2d(
+            x_88,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_88 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_89 = torch.nn.functional.batch_norm(
+            x_in_52,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_52 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_in_53 = torch.conv2d(
+            x_90,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_90 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_in_53,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_53 = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        x_in_54 = torch.conv2d(
+            x_92,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_13 = x_in_54[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_13 = x_in_54[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_54 = None
+        resid_13 = resid_12 + out1_13
+        resid_12 = out1_13 = None
+        dense_13 = torch.cat([dense_12, out2_13], dim=1)
+        dense_12 = out2_13 = None
+        x_in_55 = torch.cat((resid_13, dense_13), dim=1)
+        x_93 = torch.nn.functional.batch_norm(
+            x_in_55,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_55 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=True)
+        x_93 = None
+        x_in_56 = torch.conv2d(
+            x_94,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_94 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_95 = torch.nn.functional.batch_norm(
+            x_in_56,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_56 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_in_57 = torch.conv2d(
+            x_96,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_96 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_97 = torch.nn.functional.batch_norm(
+            x_in_57,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_57 = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.relu(x_97, inplace=True)
+        x_97 = None
+        x_in_58 = torch.conv2d(
+            x_98,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_14 = x_in_58[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_14 = x_in_58[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_58 = None
+        resid_14 = resid_13 + out1_14
+        resid_13 = out1_14 = None
+        dense_14 = torch.cat([dense_13, out2_14], dim=1)
+        dense_13 = out2_14 = None
+        x_in_59 = torch.cat((resid_14, dense_14), dim=1)
+        x_99 = torch.nn.functional.batch_norm(
+            x_in_59,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_59 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_100 = torch.nn.functional.relu(x_99, inplace=True)
+        x_99 = None
+        x_in_60 = torch.conv2d(
+            x_100,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_in_60,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_60 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_102 = torch.nn.functional.relu(x_101, inplace=True)
+        x_101 = None
+        x_in_61 = torch.conv2d(
+            x_102,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_102 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_103 = torch.nn.functional.batch_norm(
+            x_in_61,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_61 = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_in_62 = torch.conv2d(
+            x_104,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_15 = x_in_62[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_15 = x_in_62[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_62 = None
+        resid_15 = resid_14 + out1_15
+        resid_14 = out1_15 = None
+        dense_15 = torch.cat([dense_14, out2_15], dim=1)
+        dense_14 = out2_15 = None
+        x_in_63 = torch.cat((resid_15, dense_15), dim=1)
+        x_105 = torch.nn.functional.batch_norm(
+            x_in_63,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_63 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_106 = torch.nn.functional.relu(x_105, inplace=True)
+        x_105 = None
+        x_in_64 = torch.conv2d(
+            x_106,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_107 = torch.nn.functional.batch_norm(
+            x_in_64,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_64 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.relu(x_107, inplace=True)
+        x_107 = None
+        x_in_65 = torch.conv2d(
+            x_108,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_108 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_109 = torch.nn.functional.batch_norm(
+            x_in_65,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_65 = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_110 = torch.nn.functional.relu(x_109, inplace=True)
+        x_109 = None
+        x_in_66 = torch.conv2d(
+            x_110,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_110 = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_16 = x_in_66[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_16 = x_in_66[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_66 = None
+        resid_16 = resid_15 + out1_16
+        resid_15 = out1_16 = None
+        dense_16 = torch.cat([dense_15, out2_16], dim=1)
+        dense_15 = out2_16 = None
+        x_in_67 = torch.cat((resid_16, dense_16), dim=1)
+        x_111 = torch.nn.functional.batch_norm(
+            x_in_67,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_67 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_in_68 = torch.conv2d(
+            x_112,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_113 = torch.nn.functional.batch_norm(
+            x_in_68,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_68 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_114 = torch.nn.functional.relu(x_113, inplace=True)
+        x_113 = None
+        x_in_69 = torch.conv2d(
+            x_114,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_114 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_115 = torch.nn.functional.batch_norm(
+            x_in_69,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_69 = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_116 = torch.nn.functional.relu(x_115, inplace=True)
+        x_115 = None
+        x_in_70 = torch.conv2d(
+            x_116,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_116 = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_17 = x_in_70[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_17 = x_in_70[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_70 = None
+        resid_17 = resid_16 + out1_17
+        resid_16 = out1_17 = None
+        dense_17 = torch.cat([dense_16, out2_17], dim=1)
+        dense_16 = out2_17 = None
+        x_in_71 = torch.cat((resid_17, dense_17), dim=1)
+        x_117 = torch.nn.functional.batch_norm(
+            x_in_71,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_71 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_in_72 = torch.conv2d(
+            x_118,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_119 = torch.nn.functional.batch_norm(
+            x_in_72,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_72 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_120 = torch.nn.functional.relu(x_119, inplace=True)
+        x_119 = None
+        x_in_73 = torch.conv2d(
+            x_120,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_120 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_121 = torch.nn.functional.batch_norm(
+            x_in_73,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_73 = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.relu(x_121, inplace=True)
+        x_121 = None
+        x_in_74 = torch.conv2d(
+            x_122,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_18 = x_in_74[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_18 = x_in_74[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_74 = None
+        resid_18 = resid_17 + out1_18
+        resid_17 = out1_18 = None
+        dense_18 = torch.cat([dense_17, out2_18], dim=1)
+        dense_17 = out2_18 = None
+        x_in_75 = torch.cat((resid_18, dense_18), dim=1)
+        x_123 = torch.nn.functional.batch_norm(
+            x_in_75,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_75 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.relu(x_123, inplace=True)
+        x_123 = None
+        x_in_76 = torch.conv2d(
+            x_124,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_125 = torch.nn.functional.batch_norm(
+            x_in_76,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_76 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_in_77 = torch.conv2d(
+            x_126,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_126 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_127 = torch.nn.functional.batch_norm(
+            x_in_77,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_77 = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_128 = torch.nn.functional.relu(x_127, inplace=True)
+        x_127 = None
+        x_in_78 = torch.conv2d(
+            x_128,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_128 = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_19 = x_in_78[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_19 = x_in_78[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_78 = None
+        resid_19 = resid_18 + out1_19
+        resid_18 = out1_19 = None
+        dense_19 = torch.cat([dense_18, out2_19], dim=1)
+        dense_18 = out2_19 = None
+        x_in_79 = torch.cat((resid_19, dense_19), dim=1)
+        x_129 = torch.nn.functional.batch_norm(
+            x_in_79,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_79 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_130 = torch.nn.functional.relu(x_129, inplace=True)
+        x_129 = None
+        x_in_80 = torch.conv2d(
+            x_130,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_131 = torch.nn.functional.batch_norm(
+            x_in_80,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_80 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_132 = torch.nn.functional.relu(x_131, inplace=True)
+        x_131 = None
+        x_in_81 = torch.conv2d(
+            x_132,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_132 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_133 = torch.nn.functional.batch_norm(
+            x_in_81,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_81 = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_in_82 = torch.conv2d(
+            x_134,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_20 = x_in_82[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_20 = x_in_82[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_82 = None
+        resid_20 = resid_19 + out1_20
+        resid_19 = out1_20 = None
+        dense_20 = torch.cat([dense_19, out2_20], dim=1)
+        dense_19 = out2_20 = None
+        x_in_83 = torch.cat((resid_20, dense_20), dim=1)
+        x_135 = torch.nn.functional.batch_norm(
+            x_in_83,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_83 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.relu(x_135, inplace=True)
+        x_135 = None
+        x_in_84 = torch.conv2d(
+            x_136,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_136 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_137 = torch.nn.functional.batch_norm(
+            x_in_84,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_84 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_138 = torch.nn.functional.relu(x_137, inplace=True)
+        x_137 = None
+        x_in_85 = torch.conv2d(
+            x_138,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_138 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_139 = torch.nn.functional.batch_norm(
+            x_in_85,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_85 = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_in_86 = torch.conv2d(
+            x_140,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_21 = x_in_86[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_21 = x_in_86[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_86 = None
+        resid_21 = resid_20 + out1_21
+        resid_20 = out1_21 = None
+        dense_21 = torch.cat([dense_20, out2_21], dim=1)
+        dense_20 = out2_21 = None
+        x_in_87 = torch.cat((resid_21, dense_21), dim=1)
+        x_141 = torch.nn.functional.batch_norm(
+            x_in_87,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_87 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_142 = torch.nn.functional.relu(x_141, inplace=True)
+        x_141 = None
+        x_in_88 = torch.conv2d(
+            x_142,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_142 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_143 = torch.nn.functional.batch_norm(
+            x_in_88,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_88 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_144 = torch.nn.functional.relu(x_143, inplace=True)
+        x_143 = None
+        x_in_89 = torch.conv2d(
+            x_144,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_144 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_145 = torch.nn.functional.batch_norm(
+            x_in_89,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_89 = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_146 = torch.nn.functional.relu(x_145, inplace=True)
+        x_145 = None
+        x_in_90 = torch.conv2d(
+            x_146,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_146 = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_22 = x_in_90[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_22 = x_in_90[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_90 = None
+        resid_22 = resid_21 + out1_22
+        resid_21 = out1_22 = None
+        dense_22 = torch.cat([dense_21, out2_22], dim=1)
+        dense_21 = out2_22 = None
+        x_in_91 = torch.cat((resid_22, dense_22), dim=1)
+        x_147 = torch.nn.functional.batch_norm(
+            x_in_91,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_91 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_in_92 = torch.conv2d(
+            x_148,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_149 = torch.nn.functional.batch_norm(
+            x_in_92,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_92 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.relu(x_149, inplace=True)
+        x_149 = None
+        x_in_93 = torch.conv2d(
+            x_150,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_150 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_151 = torch.nn.functional.batch_norm(
+            x_in_93,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_93 = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_152 = torch.nn.functional.relu(x_151, inplace=True)
+        x_151 = None
+        x_in_94 = torch.conv2d(
+            x_152,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_152 = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_23 = x_in_94[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_23 = x_in_94[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_94 = None
+        resid_23 = resid_22 + out1_23
+        resid_22 = out1_23 = None
+        dense_23 = torch.cat([dense_22, out2_23], dim=1)
+        dense_22 = out2_23 = None
+        x_in_95 = torch.cat((resid_23, dense_23), dim=1)
+        x_153 = torch.nn.functional.batch_norm(
+            x_in_95,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_95 = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_154 = torch.nn.functional.relu(x_153, inplace=True)
+        x_153 = None
+        x_in_96 = torch.conv2d(
+            x_154,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_154 = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_155 = torch.nn.functional.batch_norm(
+            x_in_96,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_96 = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_in_97 = torch.conv2d(
+            x_156,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_156 = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_157 = torch.nn.functional.batch_norm(
+            x_in_97,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_97 = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_158 = torch.nn.functional.relu(x_157, inplace=True)
+        x_157 = None
+        x_in_98 = torch.conv2d(
+            x_158,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_24 = x_in_98[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_24 = x_in_98[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_98 = None
+        resid_24 = resid_23 + out1_24
+        resid_23 = out1_24 = None
+        dense_24 = torch.cat([dense_23, out2_24], dim=1)
+        dense_23 = out2_24 = None
+        x_in_99 = torch.cat((resid_24, dense_24), dim=1)
+        x_159 = torch.nn.functional.batch_norm(
+            x_in_99,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_99 = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_160 = torch.nn.functional.relu(x_159, inplace=True)
+        x_159 = None
+        x_in_100 = torch.conv2d(
+            x_160,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_160 = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_161 = torch.nn.functional.batch_norm(
+            x_in_100,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_100 = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_in_101 = torch.conv2d(
+            x_162,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_162 = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_163 = torch.nn.functional.batch_norm(
+            x_in_101,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_101 = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_164 = torch.nn.functional.relu(x_163, inplace=True)
+        x_163 = None
+        x_in_102 = torch.conv2d(
+            x_164,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_164 = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_25 = x_in_102[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_25 = x_in_102[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_102 = None
+        resid_25 = resid_24 + out1_25
+        resid_24 = out1_25 = None
+        dense_25 = torch.cat([dense_24, out2_25], dim=1)
+        dense_24 = out2_25 = None
+        x_in_103 = torch.cat((resid_25, dense_25), dim=1)
+        x_165 = torch.nn.functional.batch_norm(
+            x_in_103,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_103 = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_166 = torch.nn.functional.relu(x_165, inplace=True)
+        x_165 = None
+        x_in_104 = torch.conv2d(
+            x_166,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_166 = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_167 = torch.nn.functional.batch_norm(
+            x_in_104,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_104 = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_168 = torch.nn.functional.relu(x_167, inplace=True)
+        x_167 = None
+        x_in_105 = torch.conv2d(
+            x_168,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_168 = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_169 = torch.nn.functional.batch_norm(
+            x_in_105,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_105 = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_170 = torch.nn.functional.relu(x_169, inplace=True)
+        x_169 = None
+        x_in_106 = torch.conv2d(
+            x_170,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_170 = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_26 = x_in_106[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_26 = x_in_106[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_106 = None
+        resid_26 = resid_25 + out1_26
+        resid_25 = out1_26 = None
+        dense_26 = torch.cat([dense_25, out2_26], dim=1)
+        dense_25 = out2_26 = None
+        x_in_107 = torch.cat((resid_26, dense_26), dim=1)
+        x_171 = torch.nn.functional.batch_norm(
+            x_in_107,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_107 = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_172 = torch.nn.functional.relu(x_171, inplace=True)
+        x_171 = None
+        x_in_108 = torch.conv2d(
+            x_172,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_172 = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_173 = torch.nn.functional.batch_norm(
+            x_in_108,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_108 = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_174 = torch.nn.functional.relu(x_173, inplace=True)
+        x_173 = None
+        x_in_109 = torch.conv2d(
+            x_174,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_174 = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_175 = torch.nn.functional.batch_norm(
+            x_in_109,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_109 = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_176 = torch.nn.functional.relu(x_175, inplace=True)
+        x_175 = None
+        x_in_110 = torch.conv2d(
+            x_176,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_176 = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_27 = x_in_110[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_27 = x_in_110[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_110 = None
+        resid_27 = resid_26 + out1_27
+        resid_26 = out1_27 = None
+        dense_27 = torch.cat([dense_26, out2_27], dim=1)
+        dense_26 = out2_27 = None
+        x_in_111 = torch.cat((resid_27, dense_27), dim=1)
+        x_177 = torch.nn.functional.batch_norm(
+            x_in_111,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_111 = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_178 = torch.nn.functional.relu(x_177, inplace=True)
+        x_177 = None
+        x_in_112 = torch.conv2d(
+            x_178,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_178 = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_179 = torch.nn.functional.batch_norm(
+            x_in_112,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_112 = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_180 = torch.nn.functional.relu(x_179, inplace=True)
+        x_179 = None
+        x_in_113 = torch.conv2d(
+            x_180,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_180 = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_181 = torch.nn.functional.batch_norm(
+            x_in_113,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_113 = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_182 = torch.nn.functional.relu(x_181, inplace=True)
+        x_181 = None
+        x_in_114 = torch.conv2d(
+            x_182,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_182 = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_28 = x_in_114[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_28 = x_in_114[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_114 = None
+        resid_28 = resid_27 + out1_28
+        resid_27 = out1_28 = None
+        dense_28 = torch.cat([dense_27, out2_28], dim=1)
+        dense_27 = out2_28 = None
+        x_in_115 = torch.cat((resid_28, dense_28), dim=1)
+        x_183 = torch.nn.functional.batch_norm(
+            x_in_115,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_115 = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_184 = torch.nn.functional.relu(x_183, inplace=True)
+        x_183 = None
+        x_in_116 = torch.conv2d(
+            x_184,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_184 = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_185 = torch.nn.functional.batch_norm(
+            x_in_116,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_116 = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_186 = torch.nn.functional.relu(x_185, inplace=True)
+        x_185 = None
+        x_in_117 = torch.conv2d(
+            x_186,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_186 = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_187 = torch.nn.functional.batch_norm(
+            x_in_117,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_117 = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_188 = torch.nn.functional.relu(x_187, inplace=True)
+        x_187 = None
+        x_in_118 = torch.conv2d(
+            x_188,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_188 = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_29 = x_in_118[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_29 = x_in_118[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_118 = None
+        resid_29 = resid_28 + out1_29
+        resid_28 = out1_29 = None
+        dense_29 = torch.cat([dense_28, out2_29], dim=1)
+        dense_28 = out2_29 = None
+        x_in_119 = torch.cat((resid_29, dense_29), dim=1)
+        x_189 = torch.nn.functional.batch_norm(
+            x_in_119,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_119 = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_190 = torch.nn.functional.relu(x_189, inplace=True)
+        x_189 = None
+        x_in_120 = torch.conv2d(
+            x_190,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_190 = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_191 = torch.nn.functional.batch_norm(
+            x_in_120,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_120 = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_192 = torch.nn.functional.relu(x_191, inplace=True)
+        x_191 = None
+        x_in_121 = torch.conv2d(
+            x_192,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_192 = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_193 = torch.nn.functional.batch_norm(
+            x_in_121,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_121 = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_194 = torch.nn.functional.relu(x_193, inplace=True)
+        x_193 = None
+        x_in_122 = torch.conv2d(
+            x_194,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_194 = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_30 = x_in_122[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_30 = x_in_122[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_122 = None
+        resid_30 = resid_29 + out1_30
+        resid_29 = out1_30 = None
+        dense_30 = torch.cat([dense_29, out2_30], dim=1)
+        dense_29 = out2_30 = None
+        x_in_123 = torch.cat((resid_30, dense_30), dim=1)
+        x_195 = torch.nn.functional.batch_norm(
+            x_in_123,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_123 = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_196 = torch.nn.functional.relu(x_195, inplace=True)
+        x_195 = None
+        x_in_124 = torch.conv2d(
+            x_196,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_196 = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_197 = torch.nn.functional.batch_norm(
+            x_in_124,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_124 = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_198 = torch.nn.functional.relu(x_197, inplace=True)
+        x_197 = None
+        x_in_125 = torch.conv2d(
+            x_198,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_198 = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_199 = torch.nn.functional.batch_norm(
+            x_in_125,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_125 = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_200 = torch.nn.functional.relu(x_199, inplace=True)
+        x_199 = None
+        x_in_126 = torch.conv2d(
+            x_200,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_200 = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_31 = x_in_126[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_31 = x_in_126[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_126 = None
+        resid_31 = resid_30 + out1_31
+        resid_30 = out1_31 = None
+        dense_31 = torch.cat([dense_30, out2_31], dim=1)
+        dense_30 = out2_31 = None
+        x_in_127 = torch.cat((resid_31, dense_31), dim=1)
+        resid_31 = dense_31 = None
+        x_201 = torch.nn.functional.batch_norm(
+            x_in_127,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_202 = torch.nn.functional.relu(x_201, inplace=True)
+        x_201 = None
+        x_s_3 = torch.conv2d(
+            x_202,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_202 = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_3 = None
+        x_203 = torch.nn.functional.batch_norm(
+            x_in_127,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_127 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_204 = torch.nn.functional.relu(x_203, inplace=True)
+        x_203 = None
+        x_in_128 = torch.conv2d(
+            x_204,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_204 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_205 = torch.nn.functional.batch_norm(
+            x_in_128,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_128 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_206 = torch.nn.functional.relu(x_205, inplace=True)
+        x_205 = None
+        x_in_129 = torch.conv2d(
+            x_206,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_206 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_207 = torch.nn.functional.batch_norm(
+            x_in_129,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_129 = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_208 = torch.nn.functional.relu(x_207, inplace=True)
+        x_207 = None
+        x_in_130 = torch.conv2d(
+            x_208,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_208 = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_32 = x_in_130[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_32 = x_in_130[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_130 = None
+        resid_32 = x_s1_3 + out1_32
+        x_s1_3 = out1_32 = None
+        dense_32 = torch.cat([x_s2_3, out2_32], dim=1)
+        x_s2_3 = out2_32 = None
+        x_in_131 = torch.cat((resid_32, dense_32), dim=1)
+        x_209 = torch.nn.functional.batch_norm(
+            x_in_131,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_131 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_210 = torch.nn.functional.relu(x_209, inplace=True)
+        x_209 = None
+        x_in_132 = torch.conv2d(
+            x_210,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_210 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_211 = torch.nn.functional.batch_norm(
+            x_in_132,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_132 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_212 = torch.nn.functional.relu(x_211, inplace=True)
+        x_211 = None
+        x_in_133 = torch.conv2d(
+            x_212,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_212 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_213 = torch.nn.functional.batch_norm(
+            x_in_133,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_133 = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_214 = torch.nn.functional.relu(x_213, inplace=True)
+        x_213 = None
+        x_in_134 = torch.conv2d(
+            x_214,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_214 = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_33 = x_in_134[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_33 = x_in_134[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_134 = None
+        resid_33 = resid_32 + out1_33
+        resid_32 = out1_33 = None
+        dense_33 = torch.cat([dense_32, out2_33], dim=1)
+        dense_32 = out2_33 = None
+        x_in_135 = torch.cat((resid_33, dense_33), dim=1)
+        x_215 = torch.nn.functional.batch_norm(
+            x_in_135,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_135 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_216 = torch.nn.functional.relu(x_215, inplace=True)
+        x_215 = None
+        x_in_136 = torch.conv2d(
+            x_216,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_216 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_217 = torch.nn.functional.batch_norm(
+            x_in_136,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_136 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_218 = torch.nn.functional.relu(x_217, inplace=True)
+        x_217 = None
+        x_in_137 = torch.conv2d(
+            x_218,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            50,
+        )
+        x_218 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_219 = torch.nn.functional.batch_norm(
+            x_in_137,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_137 = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_220 = torch.nn.functional.relu(x_219, inplace=True)
+        x_219 = None
+        x_in_138 = torch.conv2d(
+            x_220,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_220 = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_34 = x_in_138[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_34 = x_in_138[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_138 = None
+        resid_34 = resid_33 + out1_34
+        resid_33 = out1_34 = None
+        dense_34 = torch.cat([dense_33, out2_34], dim=1)
+        dense_33 = out2_34 = None
+        x_221 = torch.cat((resid_34, dense_34), dim=1)
+        resid_34 = dense_34 = None
+        x_222 = torch.nn.functional.batch_norm(
+            x_221,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_221 = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        ) = None
+        x_223 = torch.nn.functional.relu(x_222, inplace=False)
+        x_222 = None
+        x_224 = torch.nn.functional.adaptive_avg_pool2d(x_223, 1)
+        x_223 = None
+        x_225 = torch.conv2d(
+            x_224,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_224 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        x_226 = x_225.flatten(1, -1)
+        x_225 = None
+        return (x_226,)
diff --git a/samples/timm/dpn107.mx_in1k/weight_meta.py b/samples/timm/dpn107.mx_in1k/weight_meta.py
new file mode 100644
index 000000000..4a975e711
--- /dev/null
+++ b/samples/timm/dpn107.mx_in1k/weight_meta.py
@@ -0,0 +1,5580 @@
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_"
+    shape = [128, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_"
+    shape = [296, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [200, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [200, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [276, 200, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [316]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [316]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [316]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [316]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [200, 316, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [200, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [276, 200, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [200, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [200, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [276, 200, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [356]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [356]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [356]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [356]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [200, 356, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [200, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [276, 200, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [640, 376, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [400, 376, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [400, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [576, 400, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [400, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [400, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [576, 400, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [400, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [400, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [576, 400, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [400, 832, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [400, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [576, 400, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [400, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [400, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [576, 400, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [400, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [400, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [576, 400, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [400, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [400, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [576, 400, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1088]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1088]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1088]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1088]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [400, 1088, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [400, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [400]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [576, 400, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [1152, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1472, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1600, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1664, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1792, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1856, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 1984, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 2112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 2176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 2240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2368]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2368]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2368]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2368]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [800, 2368, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [800, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1088, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [2304, 2432, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1600, 2432, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1600, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 1600, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1600, 2432, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1600, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 1600, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1600, 2560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1600, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 1600, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_:
+    name = (
+        "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_"
+    )
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 2688, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.011
+    data = None
diff --git a/samples/timm/dpn131.mx_in1k/graph_hash.txt b/samples/timm/dpn131.mx_in1k/graph_hash.txt
new file mode 100644
index 000000000..7c9a35742
--- /dev/null
+++ b/samples/timm/dpn131.mx_in1k/graph_hash.txt
@@ -0,0 +1 @@
+4c9bcf216112fd2f330966d99ff5910c3f9017ec552414decf6b70f9caeeb1c2
\ No newline at end of file
diff --git a/samples/timm/dpn131.mx_in1k/graph_net.json b/samples/timm/dpn131.mx_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dpn131.mx_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dpn131.mx_in1k/input_meta.py b/samples/timm/dpn131.mx_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn131.mx_in1k/input_tensor_constraints.py b/samples/timm/dpn131.mx_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn131.mx_in1k/model.py b/samples/timm/dpn131.mx_in1k/model.py
new file mode 100644
index 000000000..69330cfb5
--- /dev/null
+++ b/samples/timm/dpn131.mx_in1k/model.py
@@ -0,0 +1,5534 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        ) = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        ) = l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        input_1 = torch.nn.functional.max_pool2d(
+            x_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_2 = None
+        x_3 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = (None)
+        x_4 = torch.nn.functional.relu(x_3, inplace=True)
+        x_3 = None
+        x_s = torch.conv2d(
+            x_4,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_4 = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = (None)
+        x_s1 = x_s[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2 = x_s[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s = None
+        x_5 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        input_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_6 = torch.nn.functional.relu(x_5, inplace=True)
+        x_5 = None
+        x_in = torch.conv2d(
+            x_6,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_in,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_in_1 = torch.conv2d(
+            x_8,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_8 = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_in_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_in_2 = torch.conv2d(
+            x_10,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1 = x_in_2[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2 = x_in_2[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_2 = None
+        resid = x_s1 + out1
+        x_s1 = out1 = None
+        dense = torch.cat([x_s2, out2], dim=1)
+        x_s2 = out2 = None
+        x_in_3 = torch.cat((resid, dense), dim=1)
+        x_11 = torch.nn.functional.batch_norm(
+            x_in_3,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_3 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_12 = torch.nn.functional.relu(x_11, inplace=True)
+        x_11 = None
+        x_in_4 = torch.conv2d(
+            x_12,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_in_4,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_4 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        x_in_5 = torch.conv2d(
+            x_14,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_14 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_in_5,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_5 = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_in_6 = torch.conv2d(
+            x_16,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_1 = x_in_6[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_1 = x_in_6[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_6 = None
+        resid_1 = resid + out1_1
+        resid = out1_1 = None
+        dense_1 = torch.cat([dense, out2_1], dim=1)
+        dense = out2_1 = None
+        x_in_7 = torch.cat((resid_1, dense_1), dim=1)
+        x_17 = torch.nn.functional.batch_norm(
+            x_in_7,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_7 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_18 = torch.nn.functional.relu(x_17, inplace=True)
+        x_17 = None
+        x_in_8 = torch.conv2d(
+            x_18,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_18 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_in_8,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_8 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_in_9 = torch.conv2d(
+            x_20,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_20 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_21 = torch.nn.functional.batch_norm(
+            x_in_9,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_9 = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_22 = torch.nn.functional.relu(x_21, inplace=True)
+        x_21 = None
+        x_in_10 = torch.conv2d(
+            x_22,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_2 = x_in_10[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_2 = x_in_10[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_10 = None
+        resid_2 = resid_1 + out1_2
+        resid_1 = out1_2 = None
+        dense_2 = torch.cat([dense_1, out2_2], dim=1)
+        dense_1 = out2_2 = None
+        x_in_11 = torch.cat((resid_2, dense_2), dim=1)
+        x_23 = torch.nn.functional.batch_norm(
+            x_in_11,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_11 = l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_in_12 = torch.conv2d(
+            x_24,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_in_12,
+            l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_12 = l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_26 = torch.nn.functional.relu(x_25, inplace=True)
+        x_25 = None
+        x_in_13 = torch.conv2d(
+            x_26,
+            l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_26 = l_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_27 = torch.nn.functional.batch_norm(
+            x_in_13,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_13 = l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.relu(x_27, inplace=True)
+        x_27 = None
+        x_in_14 = torch.conv2d(
+            x_28,
+            l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_3 = x_in_14[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_3 = x_in_14[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_14 = None
+        resid_3 = resid_2 + out1_3
+        resid_2 = out1_3 = None
+        dense_3 = torch.cat([dense_2, out2_3], dim=1)
+        dense_2 = out2_3 = None
+        x_in_15 = torch.cat((resid_3, dense_3), dim=1)
+        resid_3 = dense_3 = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_in_15,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_s_1 = torch.conv2d(
+            x_30,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_1 = None
+        x_31 = torch.nn.functional.batch_norm(
+            x_in_15,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_15 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_in_16 = torch.conv2d(
+            x_32,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_in_16,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_16 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_34 = torch.nn.functional.relu(x_33, inplace=True)
+        x_33 = None
+        x_in_17 = torch.conv2d(
+            x_34,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_34 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_in_17,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_17 = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        x_in_18 = torch.conv2d(
+            x_36,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_36 = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_4 = x_in_18[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_4 = x_in_18[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_18 = None
+        resid_4 = x_s1_1 + out1_4
+        x_s1_1 = out1_4 = None
+        dense_4 = torch.cat([x_s2_1, out2_4], dim=1)
+        x_s2_1 = out2_4 = None
+        x_in_19 = torch.cat((resid_4, dense_4), dim=1)
+        x_37 = torch.nn.functional.batch_norm(
+            x_in_19,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_19 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_in_20 = torch.conv2d(
+            x_38,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_in_20,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_20 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_40 = torch.nn.functional.relu(x_39, inplace=True)
+        x_39 = None
+        x_in_21 = torch.conv2d(
+            x_40,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_40 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_in_21,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_21 = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.relu(x_41, inplace=True)
+        x_41 = None
+        x_in_22 = torch.conv2d(
+            x_42,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_5 = x_in_22[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_5 = x_in_22[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_22 = None
+        resid_5 = resid_4 + out1_5
+        resid_4 = out1_5 = None
+        dense_5 = torch.cat([dense_4, out2_5], dim=1)
+        dense_4 = out2_5 = None
+        x_in_23 = torch.cat((resid_5, dense_5), dim=1)
+        x_43 = torch.nn.functional.batch_norm(
+            x_in_23,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_23 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_44 = torch.nn.functional.relu(x_43, inplace=True)
+        x_43 = None
+        x_in_24 = torch.conv2d(
+            x_44,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_44 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_in_24,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_24 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_in_25 = torch.conv2d(
+            x_46,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_46 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_in_25,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_25 = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_in_26 = torch.conv2d(
+            x_48,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_6 = x_in_26[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_6 = x_in_26[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_26 = None
+        resid_6 = resid_5 + out1_6
+        resid_5 = out1_6 = None
+        dense_6 = torch.cat([dense_5, out2_6], dim=1)
+        dense_5 = out2_6 = None
+        x_in_27 = torch.cat((resid_6, dense_6), dim=1)
+        x_49 = torch.nn.functional.batch_norm(
+            x_in_27,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_27 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_50 = torch.nn.functional.relu(x_49, inplace=True)
+        x_49 = None
+        x_in_28 = torch.conv2d(
+            x_50,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_50 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_51 = torch.nn.functional.batch_norm(
+            x_in_28,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_28 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_in_29 = torch.conv2d(
+            x_52,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_52 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_in_29,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_29 = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_54 = torch.nn.functional.relu(x_53, inplace=True)
+        x_53 = None
+        x_in_30 = torch.conv2d(
+            x_54,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_54 = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_7 = x_in_30[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_7 = x_in_30[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_30 = None
+        resid_7 = resid_6 + out1_7
+        resid_6 = out1_7 = None
+        dense_7 = torch.cat([dense_6, out2_7], dim=1)
+        dense_6 = out2_7 = None
+        x_in_31 = torch.cat((resid_7, dense_7), dim=1)
+        x_55 = torch.nn.functional.batch_norm(
+            x_in_31,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_31 = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.relu(x_55, inplace=True)
+        x_55 = None
+        x_in_32 = torch.conv2d(
+            x_56,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_in_32,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_32 = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_58 = torch.nn.functional.relu(x_57, inplace=True)
+        x_57 = None
+        x_in_33 = torch.conv2d(
+            x_58,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_58 = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_in_33,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_33 = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_in_34 = torch.conv2d(
+            x_60,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_8 = x_in_34[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_8 = x_in_34[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_34 = None
+        resid_8 = resid_7 + out1_8
+        resid_7 = out1_8 = None
+        dense_8 = torch.cat([dense_7, out2_8], dim=1)
+        dense_7 = out2_8 = None
+        x_in_35 = torch.cat((resid_8, dense_8), dim=1)
+        x_61 = torch.nn.functional.batch_norm(
+            x_in_35,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_35 = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.relu(x_61, inplace=True)
+        x_61 = None
+        x_in_36 = torch.conv2d(
+            x_62,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_63 = torch.nn.functional.batch_norm(
+            x_in_36,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_36 = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_64 = torch.nn.functional.relu(x_63, inplace=True)
+        x_63 = None
+        x_in_37 = torch.conv2d(
+            x_64,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_64 = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_65 = torch.nn.functional.batch_norm(
+            x_in_37,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_37 = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.relu(x_65, inplace=True)
+        x_65 = None
+        x_in_38 = torch.conv2d(
+            x_66,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_66 = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_9 = x_in_38[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_9 = x_in_38[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_38 = None
+        resid_9 = resid_8 + out1_9
+        resid_8 = out1_9 = None
+        dense_9 = torch.cat([dense_8, out2_9], dim=1)
+        dense_8 = out2_9 = None
+        x_in_39 = torch.cat((resid_9, dense_9), dim=1)
+        x_67 = torch.nn.functional.batch_norm(
+            x_in_39,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_39 = l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_in_40 = torch.conv2d(
+            x_68,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_68 = l_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_69 = torch.nn.functional.batch_norm(
+            x_in_40,
+            l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_40 = l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.nn.functional.relu(x_69, inplace=True)
+        x_69 = None
+        x_in_41 = torch.conv2d(
+            x_70,
+            l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_70 = l_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_in_41,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_41 = l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_in_42 = torch.conv2d(
+            x_72,
+            l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_72 = l_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_10 = x_in_42[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_10 = x_in_42[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_42 = None
+        resid_10 = resid_9 + out1_10
+        resid_9 = out1_10 = None
+        dense_10 = torch.cat([dense_9, out2_10], dim=1)
+        dense_9 = out2_10 = None
+        x_in_43 = torch.cat((resid_10, dense_10), dim=1)
+        x_73 = torch.nn.functional.batch_norm(
+            x_in_43,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_43 = l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_in_44 = torch.conv2d(
+            x_74,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_75 = torch.nn.functional.batch_norm(
+            x_in_44,
+            l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_44 = l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.nn.functional.relu(x_75, inplace=True)
+        x_75 = None
+        x_in_45 = torch.conv2d(
+            x_76,
+            l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_76 = l_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_in_45,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_45 = l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_in_46 = torch.conv2d(
+            x_78,
+            l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_11 = x_in_46[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_11 = x_in_46[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_46 = None
+        resid_11 = resid_10 + out1_11
+        resid_10 = out1_11 = None
+        dense_11 = torch.cat([dense_10, out2_11], dim=1)
+        dense_10 = out2_11 = None
+        x_in_47 = torch.cat((resid_11, dense_11), dim=1)
+        resid_11 = dense_11 = None
+        x_79 = torch.nn.functional.batch_norm(
+            x_in_47,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.relu(x_79, inplace=True)
+        x_79 = None
+        x_s_2 = torch.conv2d(
+            x_80,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_2 = None
+        x_81 = torch.nn.functional.batch_norm(
+            x_in_47,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_47 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_in_48 = torch.conv2d(
+            x_82,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_in_48,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_48 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.relu(x_83, inplace=True)
+        x_83 = None
+        x_in_49 = torch.conv2d(
+            x_84,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_84 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_in_49,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_49 = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_86 = torch.nn.functional.relu(x_85, inplace=True)
+        x_85 = None
+        x_in_50 = torch.conv2d(
+            x_86,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_12 = x_in_50[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_12 = x_in_50[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_50 = None
+        resid_12 = x_s1_2 + out1_12
+        x_s1_2 = out1_12 = None
+        dense_12 = torch.cat([x_s2_2, out2_12], dim=1)
+        x_s2_2 = out2_12 = None
+        x_in_51 = torch.cat((resid_12, dense_12), dim=1)
+        x_87 = torch.nn.functional.batch_norm(
+            x_in_51,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_51 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=True)
+        x_87 = None
+        x_in_52 = torch.conv2d(
+            x_88,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_88 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_89 = torch.nn.functional.batch_norm(
+            x_in_52,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_52 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_in_53 = torch.conv2d(
+            x_90,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_90 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_in_53,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_53 = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        x_in_54 = torch.conv2d(
+            x_92,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_13 = x_in_54[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_13 = x_in_54[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_54 = None
+        resid_13 = resid_12 + out1_13
+        resid_12 = out1_13 = None
+        dense_13 = torch.cat([dense_12, out2_13], dim=1)
+        dense_12 = out2_13 = None
+        x_in_55 = torch.cat((resid_13, dense_13), dim=1)
+        x_93 = torch.nn.functional.batch_norm(
+            x_in_55,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_55 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=True)
+        x_93 = None
+        x_in_56 = torch.conv2d(
+            x_94,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_94 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_95 = torch.nn.functional.batch_norm(
+            x_in_56,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_56 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_in_57 = torch.conv2d(
+            x_96,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_96 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_97 = torch.nn.functional.batch_norm(
+            x_in_57,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_57 = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.relu(x_97, inplace=True)
+        x_97 = None
+        x_in_58 = torch.conv2d(
+            x_98,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_14 = x_in_58[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_14 = x_in_58[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_58 = None
+        resid_14 = resid_13 + out1_14
+        resid_13 = out1_14 = None
+        dense_14 = torch.cat([dense_13, out2_14], dim=1)
+        dense_13 = out2_14 = None
+        x_in_59 = torch.cat((resid_14, dense_14), dim=1)
+        x_99 = torch.nn.functional.batch_norm(
+            x_in_59,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_59 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_100 = torch.nn.functional.relu(x_99, inplace=True)
+        x_99 = None
+        x_in_60 = torch.conv2d(
+            x_100,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_in_60,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_60 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_102 = torch.nn.functional.relu(x_101, inplace=True)
+        x_101 = None
+        x_in_61 = torch.conv2d(
+            x_102,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_102 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_103 = torch.nn.functional.batch_norm(
+            x_in_61,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_61 = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_in_62 = torch.conv2d(
+            x_104,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_15 = x_in_62[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_15 = x_in_62[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_62 = None
+        resid_15 = resid_14 + out1_15
+        resid_14 = out1_15 = None
+        dense_15 = torch.cat([dense_14, out2_15], dim=1)
+        dense_14 = out2_15 = None
+        x_in_63 = torch.cat((resid_15, dense_15), dim=1)
+        x_105 = torch.nn.functional.batch_norm(
+            x_in_63,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_63 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_106 = torch.nn.functional.relu(x_105, inplace=True)
+        x_105 = None
+        x_in_64 = torch.conv2d(
+            x_106,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_107 = torch.nn.functional.batch_norm(
+            x_in_64,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_64 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.relu(x_107, inplace=True)
+        x_107 = None
+        x_in_65 = torch.conv2d(
+            x_108,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_108 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_109 = torch.nn.functional.batch_norm(
+            x_in_65,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_65 = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_110 = torch.nn.functional.relu(x_109, inplace=True)
+        x_109 = None
+        x_in_66 = torch.conv2d(
+            x_110,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_110 = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_16 = x_in_66[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_16 = x_in_66[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_66 = None
+        resid_16 = resid_15 + out1_16
+        resid_15 = out1_16 = None
+        dense_16 = torch.cat([dense_15, out2_16], dim=1)
+        dense_15 = out2_16 = None
+        x_in_67 = torch.cat((resid_16, dense_16), dim=1)
+        x_111 = torch.nn.functional.batch_norm(
+            x_in_67,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_67 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_in_68 = torch.conv2d(
+            x_112,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_113 = torch.nn.functional.batch_norm(
+            x_in_68,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_68 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_114 = torch.nn.functional.relu(x_113, inplace=True)
+        x_113 = None
+        x_in_69 = torch.conv2d(
+            x_114,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_114 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_115 = torch.nn.functional.batch_norm(
+            x_in_69,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_69 = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_116 = torch.nn.functional.relu(x_115, inplace=True)
+        x_115 = None
+        x_in_70 = torch.conv2d(
+            x_116,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_116 = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_17 = x_in_70[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_17 = x_in_70[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_70 = None
+        resid_17 = resid_16 + out1_17
+        resid_16 = out1_17 = None
+        dense_17 = torch.cat([dense_16, out2_17], dim=1)
+        dense_16 = out2_17 = None
+        x_in_71 = torch.cat((resid_17, dense_17), dim=1)
+        x_117 = torch.nn.functional.batch_norm(
+            x_in_71,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_71 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_in_72 = torch.conv2d(
+            x_118,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_119 = torch.nn.functional.batch_norm(
+            x_in_72,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_72 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_120 = torch.nn.functional.relu(x_119, inplace=True)
+        x_119 = None
+        x_in_73 = torch.conv2d(
+            x_120,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_120 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_121 = torch.nn.functional.batch_norm(
+            x_in_73,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_73 = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.relu(x_121, inplace=True)
+        x_121 = None
+        x_in_74 = torch.conv2d(
+            x_122,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_18 = x_in_74[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_18 = x_in_74[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_74 = None
+        resid_18 = resid_17 + out1_18
+        resid_17 = out1_18 = None
+        dense_18 = torch.cat([dense_17, out2_18], dim=1)
+        dense_17 = out2_18 = None
+        x_in_75 = torch.cat((resid_18, dense_18), dim=1)
+        x_123 = torch.nn.functional.batch_norm(
+            x_in_75,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_75 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.relu(x_123, inplace=True)
+        x_123 = None
+        x_in_76 = torch.conv2d(
+            x_124,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_125 = torch.nn.functional.batch_norm(
+            x_in_76,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_76 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_in_77 = torch.conv2d(
+            x_126,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_126 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_127 = torch.nn.functional.batch_norm(
+            x_in_77,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_77 = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_128 = torch.nn.functional.relu(x_127, inplace=True)
+        x_127 = None
+        x_in_78 = torch.conv2d(
+            x_128,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_128 = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_19 = x_in_78[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_19 = x_in_78[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_78 = None
+        resid_19 = resid_18 + out1_19
+        resid_18 = out1_19 = None
+        dense_19 = torch.cat([dense_18, out2_19], dim=1)
+        dense_18 = out2_19 = None
+        x_in_79 = torch.cat((resid_19, dense_19), dim=1)
+        x_129 = torch.nn.functional.batch_norm(
+            x_in_79,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_79 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_130 = torch.nn.functional.relu(x_129, inplace=True)
+        x_129 = None
+        x_in_80 = torch.conv2d(
+            x_130,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_131 = torch.nn.functional.batch_norm(
+            x_in_80,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_80 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_132 = torch.nn.functional.relu(x_131, inplace=True)
+        x_131 = None
+        x_in_81 = torch.conv2d(
+            x_132,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_132 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_133 = torch.nn.functional.batch_norm(
+            x_in_81,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_81 = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_in_82 = torch.conv2d(
+            x_134,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_20 = x_in_82[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_20 = x_in_82[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_82 = None
+        resid_20 = resid_19 + out1_20
+        resid_19 = out1_20 = None
+        dense_20 = torch.cat([dense_19, out2_20], dim=1)
+        dense_19 = out2_20 = None
+        x_in_83 = torch.cat((resid_20, dense_20), dim=1)
+        x_135 = torch.nn.functional.batch_norm(
+            x_in_83,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_83 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.relu(x_135, inplace=True)
+        x_135 = None
+        x_in_84 = torch.conv2d(
+            x_136,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_136 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_137 = torch.nn.functional.batch_norm(
+            x_in_84,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_84 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_138 = torch.nn.functional.relu(x_137, inplace=True)
+        x_137 = None
+        x_in_85 = torch.conv2d(
+            x_138,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_138 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_139 = torch.nn.functional.batch_norm(
+            x_in_85,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_85 = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_in_86 = torch.conv2d(
+            x_140,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_21 = x_in_86[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_21 = x_in_86[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_86 = None
+        resid_21 = resid_20 + out1_21
+        resid_20 = out1_21 = None
+        dense_21 = torch.cat([dense_20, out2_21], dim=1)
+        dense_20 = out2_21 = None
+        x_in_87 = torch.cat((resid_21, dense_21), dim=1)
+        x_141 = torch.nn.functional.batch_norm(
+            x_in_87,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_87 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_142 = torch.nn.functional.relu(x_141, inplace=True)
+        x_141 = None
+        x_in_88 = torch.conv2d(
+            x_142,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_142 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_143 = torch.nn.functional.batch_norm(
+            x_in_88,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_88 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_144 = torch.nn.functional.relu(x_143, inplace=True)
+        x_143 = None
+        x_in_89 = torch.conv2d(
+            x_144,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_144 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_145 = torch.nn.functional.batch_norm(
+            x_in_89,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_89 = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_146 = torch.nn.functional.relu(x_145, inplace=True)
+        x_145 = None
+        x_in_90 = torch.conv2d(
+            x_146,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_146 = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_22 = x_in_90[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_22 = x_in_90[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_90 = None
+        resid_22 = resid_21 + out1_22
+        resid_21 = out1_22 = None
+        dense_22 = torch.cat([dense_21, out2_22], dim=1)
+        dense_21 = out2_22 = None
+        x_in_91 = torch.cat((resid_22, dense_22), dim=1)
+        x_147 = torch.nn.functional.batch_norm(
+            x_in_91,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_91 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_in_92 = torch.conv2d(
+            x_148,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_149 = torch.nn.functional.batch_norm(
+            x_in_92,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_92 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.relu(x_149, inplace=True)
+        x_149 = None
+        x_in_93 = torch.conv2d(
+            x_150,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_150 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_151 = torch.nn.functional.batch_norm(
+            x_in_93,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_93 = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_152 = torch.nn.functional.relu(x_151, inplace=True)
+        x_151 = None
+        x_in_94 = torch.conv2d(
+            x_152,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_152 = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_23 = x_in_94[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_23 = x_in_94[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_94 = None
+        resid_23 = resid_22 + out1_23
+        resid_22 = out1_23 = None
+        dense_23 = torch.cat([dense_22, out2_23], dim=1)
+        dense_22 = out2_23 = None
+        x_in_95 = torch.cat((resid_23, dense_23), dim=1)
+        x_153 = torch.nn.functional.batch_norm(
+            x_in_95,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_95 = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_154 = torch.nn.functional.relu(x_153, inplace=True)
+        x_153 = None
+        x_in_96 = torch.conv2d(
+            x_154,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_154 = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_155 = torch.nn.functional.batch_norm(
+            x_in_96,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_96 = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_in_97 = torch.conv2d(
+            x_156,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_156 = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_157 = torch.nn.functional.batch_norm(
+            x_in_97,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_97 = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_158 = torch.nn.functional.relu(x_157, inplace=True)
+        x_157 = None
+        x_in_98 = torch.conv2d(
+            x_158,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_24 = x_in_98[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_24 = x_in_98[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_98 = None
+        resid_24 = resid_23 + out1_24
+        resid_23 = out1_24 = None
+        dense_24 = torch.cat([dense_23, out2_24], dim=1)
+        dense_23 = out2_24 = None
+        x_in_99 = torch.cat((resid_24, dense_24), dim=1)
+        x_159 = torch.nn.functional.batch_norm(
+            x_in_99,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_99 = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_160 = torch.nn.functional.relu(x_159, inplace=True)
+        x_159 = None
+        x_in_100 = torch.conv2d(
+            x_160,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_160 = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_161 = torch.nn.functional.batch_norm(
+            x_in_100,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_100 = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_in_101 = torch.conv2d(
+            x_162,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_162 = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_163 = torch.nn.functional.batch_norm(
+            x_in_101,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_101 = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_164 = torch.nn.functional.relu(x_163, inplace=True)
+        x_163 = None
+        x_in_102 = torch.conv2d(
+            x_164,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_164 = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_25 = x_in_102[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_25 = x_in_102[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_102 = None
+        resid_25 = resid_24 + out1_25
+        resid_24 = out1_25 = None
+        dense_25 = torch.cat([dense_24, out2_25], dim=1)
+        dense_24 = out2_25 = None
+        x_in_103 = torch.cat((resid_25, dense_25), dim=1)
+        x_165 = torch.nn.functional.batch_norm(
+            x_in_103,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_103 = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_166 = torch.nn.functional.relu(x_165, inplace=True)
+        x_165 = None
+        x_in_104 = torch.conv2d(
+            x_166,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_166 = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_167 = torch.nn.functional.batch_norm(
+            x_in_104,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_104 = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_168 = torch.nn.functional.relu(x_167, inplace=True)
+        x_167 = None
+        x_in_105 = torch.conv2d(
+            x_168,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_168 = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_169 = torch.nn.functional.batch_norm(
+            x_in_105,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_105 = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_170 = torch.nn.functional.relu(x_169, inplace=True)
+        x_169 = None
+        x_in_106 = torch.conv2d(
+            x_170,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_170 = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_26 = x_in_106[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_26 = x_in_106[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_106 = None
+        resid_26 = resid_25 + out1_26
+        resid_25 = out1_26 = None
+        dense_26 = torch.cat([dense_25, out2_26], dim=1)
+        dense_25 = out2_26 = None
+        x_in_107 = torch.cat((resid_26, dense_26), dim=1)
+        x_171 = torch.nn.functional.batch_norm(
+            x_in_107,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_107 = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_172 = torch.nn.functional.relu(x_171, inplace=True)
+        x_171 = None
+        x_in_108 = torch.conv2d(
+            x_172,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_172 = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_173 = torch.nn.functional.batch_norm(
+            x_in_108,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_108 = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_174 = torch.nn.functional.relu(x_173, inplace=True)
+        x_173 = None
+        x_in_109 = torch.conv2d(
+            x_174,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_174 = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_175 = torch.nn.functional.batch_norm(
+            x_in_109,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_109 = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_176 = torch.nn.functional.relu(x_175, inplace=True)
+        x_175 = None
+        x_in_110 = torch.conv2d(
+            x_176,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_176 = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_27 = x_in_110[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_27 = x_in_110[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_110 = None
+        resid_27 = resid_26 + out1_27
+        resid_26 = out1_27 = None
+        dense_27 = torch.cat([dense_26, out2_27], dim=1)
+        dense_26 = out2_27 = None
+        x_in_111 = torch.cat((resid_27, dense_27), dim=1)
+        x_177 = torch.nn.functional.batch_norm(
+            x_in_111,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_111 = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_178 = torch.nn.functional.relu(x_177, inplace=True)
+        x_177 = None
+        x_in_112 = torch.conv2d(
+            x_178,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_178 = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_179 = torch.nn.functional.batch_norm(
+            x_in_112,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_112 = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_180 = torch.nn.functional.relu(x_179, inplace=True)
+        x_179 = None
+        x_in_113 = torch.conv2d(
+            x_180,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_180 = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_181 = torch.nn.functional.batch_norm(
+            x_in_113,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_113 = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_182 = torch.nn.functional.relu(x_181, inplace=True)
+        x_181 = None
+        x_in_114 = torch.conv2d(
+            x_182,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_182 = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_28 = x_in_114[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_28 = x_in_114[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_114 = None
+        resid_28 = resid_27 + out1_28
+        resid_27 = out1_28 = None
+        dense_28 = torch.cat([dense_27, out2_28], dim=1)
+        dense_27 = out2_28 = None
+        x_in_115 = torch.cat((resid_28, dense_28), dim=1)
+        x_183 = torch.nn.functional.batch_norm(
+            x_in_115,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_115 = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_184 = torch.nn.functional.relu(x_183, inplace=True)
+        x_183 = None
+        x_in_116 = torch.conv2d(
+            x_184,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_184 = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_185 = torch.nn.functional.batch_norm(
+            x_in_116,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_116 = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_186 = torch.nn.functional.relu(x_185, inplace=True)
+        x_185 = None
+        x_in_117 = torch.conv2d(
+            x_186,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_186 = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_187 = torch.nn.functional.batch_norm(
+            x_in_117,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_117 = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_188 = torch.nn.functional.relu(x_187, inplace=True)
+        x_187 = None
+        x_in_118 = torch.conv2d(
+            x_188,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_188 = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_29 = x_in_118[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_29 = x_in_118[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_118 = None
+        resid_29 = resid_28 + out1_29
+        resid_28 = out1_29 = None
+        dense_29 = torch.cat([dense_28, out2_29], dim=1)
+        dense_28 = out2_29 = None
+        x_in_119 = torch.cat((resid_29, dense_29), dim=1)
+        x_189 = torch.nn.functional.batch_norm(
+            x_in_119,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_119 = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_190 = torch.nn.functional.relu(x_189, inplace=True)
+        x_189 = None
+        x_in_120 = torch.conv2d(
+            x_190,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_190 = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_191 = torch.nn.functional.batch_norm(
+            x_in_120,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_120 = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_192 = torch.nn.functional.relu(x_191, inplace=True)
+        x_191 = None
+        x_in_121 = torch.conv2d(
+            x_192,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_192 = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_193 = torch.nn.functional.batch_norm(
+            x_in_121,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_121 = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_194 = torch.nn.functional.relu(x_193, inplace=True)
+        x_193 = None
+        x_in_122 = torch.conv2d(
+            x_194,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_194 = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_30 = x_in_122[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_30 = x_in_122[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_122 = None
+        resid_30 = resid_29 + out1_30
+        resid_29 = out1_30 = None
+        dense_30 = torch.cat([dense_29, out2_30], dim=1)
+        dense_29 = out2_30 = None
+        x_in_123 = torch.cat((resid_30, dense_30), dim=1)
+        x_195 = torch.nn.functional.batch_norm(
+            x_in_123,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_123 = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_196 = torch.nn.functional.relu(x_195, inplace=True)
+        x_195 = None
+        x_in_124 = torch.conv2d(
+            x_196,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_196 = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_197 = torch.nn.functional.batch_norm(
+            x_in_124,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_124 = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_198 = torch.nn.functional.relu(x_197, inplace=True)
+        x_197 = None
+        x_in_125 = torch.conv2d(
+            x_198,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_198 = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_199 = torch.nn.functional.batch_norm(
+            x_in_125,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_125 = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_200 = torch.nn.functional.relu(x_199, inplace=True)
+        x_199 = None
+        x_in_126 = torch.conv2d(
+            x_200,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_200 = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_31 = x_in_126[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_31 = x_in_126[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_126 = None
+        resid_31 = resid_30 + out1_31
+        resid_30 = out1_31 = None
+        dense_31 = torch.cat([dense_30, out2_31], dim=1)
+        dense_30 = out2_31 = None
+        x_in_127 = torch.cat((resid_31, dense_31), dim=1)
+        x_201 = torch.nn.functional.batch_norm(
+            x_in_127,
+            l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_127 = l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_202 = torch.nn.functional.relu(x_201, inplace=True)
+        x_201 = None
+        x_in_128 = torch.conv2d(
+            x_202,
+            l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_202 = l_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_203 = torch.nn.functional.batch_norm(
+            x_in_128,
+            l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_128 = l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_204 = torch.nn.functional.relu(x_203, inplace=True)
+        x_203 = None
+        x_in_129 = torch.conv2d(
+            x_204,
+            l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_204 = l_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_205 = torch.nn.functional.batch_norm(
+            x_in_129,
+            l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_129 = l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_206 = torch.nn.functional.relu(x_205, inplace=True)
+        x_205 = None
+        x_in_130 = torch.conv2d(
+            x_206,
+            l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_206 = l_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_32 = x_in_130[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_32 = x_in_130[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_130 = None
+        resid_32 = resid_31 + out1_32
+        resid_31 = out1_32 = None
+        dense_32 = torch.cat([dense_31, out2_32], dim=1)
+        dense_31 = out2_32 = None
+        x_in_131 = torch.cat((resid_32, dense_32), dim=1)
+        x_207 = torch.nn.functional.batch_norm(
+            x_in_131,
+            l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_131 = l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_208 = torch.nn.functional.relu(x_207, inplace=True)
+        x_207 = None
+        x_in_132 = torch.conv2d(
+            x_208,
+            l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_208 = l_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_209 = torch.nn.functional.batch_norm(
+            x_in_132,
+            l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_132 = l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_210 = torch.nn.functional.relu(x_209, inplace=True)
+        x_209 = None
+        x_in_133 = torch.conv2d(
+            x_210,
+            l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_210 = l_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_211 = torch.nn.functional.batch_norm(
+            x_in_133,
+            l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_133 = l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_212 = torch.nn.functional.relu(x_211, inplace=True)
+        x_211 = None
+        x_in_134 = torch.conv2d(
+            x_212,
+            l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_212 = l_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_33 = x_in_134[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_33 = x_in_134[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_134 = None
+        resid_33 = resid_32 + out1_33
+        resid_32 = out1_33 = None
+        dense_33 = torch.cat([dense_32, out2_33], dim=1)
+        dense_32 = out2_33 = None
+        x_in_135 = torch.cat((resid_33, dense_33), dim=1)
+        x_213 = torch.nn.functional.batch_norm(
+            x_in_135,
+            l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_135 = l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_214 = torch.nn.functional.relu(x_213, inplace=True)
+        x_213 = None
+        x_in_136 = torch.conv2d(
+            x_214,
+            l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_214 = l_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_215 = torch.nn.functional.batch_norm(
+            x_in_136,
+            l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_136 = l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_216 = torch.nn.functional.relu(x_215, inplace=True)
+        x_215 = None
+        x_in_137 = torch.conv2d(
+            x_216,
+            l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_216 = l_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_217 = torch.nn.functional.batch_norm(
+            x_in_137,
+            l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_137 = l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_218 = torch.nn.functional.relu(x_217, inplace=True)
+        x_217 = None
+        x_in_138 = torch.conv2d(
+            x_218,
+            l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_218 = l_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_34 = x_in_138[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_34 = x_in_138[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_138 = None
+        resid_34 = resid_33 + out1_34
+        resid_33 = out1_34 = None
+        dense_34 = torch.cat([dense_33, out2_34], dim=1)
+        dense_33 = out2_34 = None
+        x_in_139 = torch.cat((resid_34, dense_34), dim=1)
+        x_219 = torch.nn.functional.batch_norm(
+            x_in_139,
+            l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_139 = l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_220 = torch.nn.functional.relu(x_219, inplace=True)
+        x_219 = None
+        x_in_140 = torch.conv2d(
+            x_220,
+            l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_220 = l_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_221 = torch.nn.functional.batch_norm(
+            x_in_140,
+            l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_140 = l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_222 = torch.nn.functional.relu(x_221, inplace=True)
+        x_221 = None
+        x_in_141 = torch.conv2d(
+            x_222,
+            l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_222 = l_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_223 = torch.nn.functional.batch_norm(
+            x_in_141,
+            l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_141 = l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_224 = torch.nn.functional.relu(x_223, inplace=True)
+        x_223 = None
+        x_in_142 = torch.conv2d(
+            x_224,
+            l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_224 = l_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_35 = x_in_142[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_35 = x_in_142[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_142 = None
+        resid_35 = resid_34 + out1_35
+        resid_34 = out1_35 = None
+        dense_35 = torch.cat([dense_34, out2_35], dim=1)
+        dense_34 = out2_35 = None
+        x_in_143 = torch.cat((resid_35, dense_35), dim=1)
+        x_225 = torch.nn.functional.batch_norm(
+            x_in_143,
+            l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_143 = l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_226 = torch.nn.functional.relu(x_225, inplace=True)
+        x_225 = None
+        x_in_144 = torch.conv2d(
+            x_226,
+            l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_226 = l_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_227 = torch.nn.functional.batch_norm(
+            x_in_144,
+            l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_144 = l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_228 = torch.nn.functional.relu(x_227, inplace=True)
+        x_227 = None
+        x_in_145 = torch.conv2d(
+            x_228,
+            l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_228 = l_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_229 = torch.nn.functional.batch_norm(
+            x_in_145,
+            l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_145 = l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_230 = torch.nn.functional.relu(x_229, inplace=True)
+        x_229 = None
+        x_in_146 = torch.conv2d(
+            x_230,
+            l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_230 = l_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_36 = x_in_146[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_36 = x_in_146[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_146 = None
+        resid_36 = resid_35 + out1_36
+        resid_35 = out1_36 = None
+        dense_36 = torch.cat([dense_35, out2_36], dim=1)
+        dense_35 = out2_36 = None
+        x_in_147 = torch.cat((resid_36, dense_36), dim=1)
+        x_231 = torch.nn.functional.batch_norm(
+            x_in_147,
+            l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_147 = l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_232 = torch.nn.functional.relu(x_231, inplace=True)
+        x_231 = None
+        x_in_148 = torch.conv2d(
+            x_232,
+            l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_232 = l_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_233 = torch.nn.functional.batch_norm(
+            x_in_148,
+            l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_148 = l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_234 = torch.nn.functional.relu(x_233, inplace=True)
+        x_233 = None
+        x_in_149 = torch.conv2d(
+            x_234,
+            l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_234 = l_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_235 = torch.nn.functional.batch_norm(
+            x_in_149,
+            l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_149 = l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_236 = torch.nn.functional.relu(x_235, inplace=True)
+        x_235 = None
+        x_in_150 = torch.conv2d(
+            x_236,
+            l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_236 = l_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_37 = x_in_150[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_37 = x_in_150[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_150 = None
+        resid_37 = resid_36 + out1_37
+        resid_36 = out1_37 = None
+        dense_37 = torch.cat([dense_36, out2_37], dim=1)
+        dense_36 = out2_37 = None
+        x_in_151 = torch.cat((resid_37, dense_37), dim=1)
+        x_237 = torch.nn.functional.batch_norm(
+            x_in_151,
+            l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_151 = l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_238 = torch.nn.functional.relu(x_237, inplace=True)
+        x_237 = None
+        x_in_152 = torch.conv2d(
+            x_238,
+            l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_238 = l_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_239 = torch.nn.functional.batch_norm(
+            x_in_152,
+            l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_152 = l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_240 = torch.nn.functional.relu(x_239, inplace=True)
+        x_239 = None
+        x_in_153 = torch.conv2d(
+            x_240,
+            l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_240 = l_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_241 = torch.nn.functional.batch_norm(
+            x_in_153,
+            l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_153 = l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_242 = torch.nn.functional.relu(x_241, inplace=True)
+        x_241 = None
+        x_in_154 = torch.conv2d(
+            x_242,
+            l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_242 = l_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_38 = x_in_154[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_38 = x_in_154[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_154 = None
+        resid_38 = resid_37 + out1_38
+        resid_37 = out1_38 = None
+        dense_38 = torch.cat([dense_37, out2_38], dim=1)
+        dense_37 = out2_38 = None
+        x_in_155 = torch.cat((resid_38, dense_38), dim=1)
+        x_243 = torch.nn.functional.batch_norm(
+            x_in_155,
+            l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_155 = l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_244 = torch.nn.functional.relu(x_243, inplace=True)
+        x_243 = None
+        x_in_156 = torch.conv2d(
+            x_244,
+            l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_244 = l_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_245 = torch.nn.functional.batch_norm(
+            x_in_156,
+            l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_156 = l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_246 = torch.nn.functional.relu(x_245, inplace=True)
+        x_245 = None
+        x_in_157 = torch.conv2d(
+            x_246,
+            l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_246 = l_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_247 = torch.nn.functional.batch_norm(
+            x_in_157,
+            l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_157 = l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_248 = torch.nn.functional.relu(x_247, inplace=True)
+        x_247 = None
+        x_in_158 = torch.conv2d(
+            x_248,
+            l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_248 = l_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_39 = x_in_158[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_39 = x_in_158[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_158 = None
+        resid_39 = resid_38 + out1_39
+        resid_38 = out1_39 = None
+        dense_39 = torch.cat([dense_38, out2_39], dim=1)
+        dense_38 = out2_39 = None
+        x_in_159 = torch.cat((resid_39, dense_39), dim=1)
+        resid_39 = dense_39 = None
+        x_249 = torch.nn.functional.batch_norm(
+            x_in_159,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_250 = torch.nn.functional.relu(x_249, inplace=True)
+        x_249 = None
+        x_s_3 = torch.conv2d(
+            x_250,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_250 = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_3 = None
+        x_251 = torch.nn.functional.batch_norm(
+            x_in_159,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_159 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_252 = torch.nn.functional.relu(x_251, inplace=True)
+        x_251 = None
+        x_in_160 = torch.conv2d(
+            x_252,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_252 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_253 = torch.nn.functional.batch_norm(
+            x_in_160,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_160 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_254 = torch.nn.functional.relu(x_253, inplace=True)
+        x_253 = None
+        x_in_161 = torch.conv2d(
+            x_254,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_254 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_255 = torch.nn.functional.batch_norm(
+            x_in_161,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_161 = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_256 = torch.nn.functional.relu(x_255, inplace=True)
+        x_255 = None
+        x_in_162 = torch.conv2d(
+            x_256,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_256 = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_40 = x_in_162[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_40 = x_in_162[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_162 = None
+        resid_40 = x_s1_3 + out1_40
+        x_s1_3 = out1_40 = None
+        dense_40 = torch.cat([x_s2_3, out2_40], dim=1)
+        x_s2_3 = out2_40 = None
+        x_in_163 = torch.cat((resid_40, dense_40), dim=1)
+        x_257 = torch.nn.functional.batch_norm(
+            x_in_163,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_163 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_258 = torch.nn.functional.relu(x_257, inplace=True)
+        x_257 = None
+        x_in_164 = torch.conv2d(
+            x_258,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_258 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_259 = torch.nn.functional.batch_norm(
+            x_in_164,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_164 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_260 = torch.nn.functional.relu(x_259, inplace=True)
+        x_259 = None
+        x_in_165 = torch.conv2d(
+            x_260,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_260 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_261 = torch.nn.functional.batch_norm(
+            x_in_165,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_165 = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_262 = torch.nn.functional.relu(x_261, inplace=True)
+        x_261 = None
+        x_in_166 = torch.conv2d(
+            x_262,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_262 = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_41 = x_in_166[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_41 = x_in_166[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_166 = None
+        resid_41 = resid_40 + out1_41
+        resid_40 = out1_41 = None
+        dense_41 = torch.cat([dense_40, out2_41], dim=1)
+        dense_40 = out2_41 = None
+        x_in_167 = torch.cat((resid_41, dense_41), dim=1)
+        x_263 = torch.nn.functional.batch_norm(
+            x_in_167,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_167 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_264 = torch.nn.functional.relu(x_263, inplace=True)
+        x_263 = None
+        x_in_168 = torch.conv2d(
+            x_264,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_264 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_265 = torch.nn.functional.batch_norm(
+            x_in_168,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_168 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_266 = torch.nn.functional.relu(x_265, inplace=True)
+        x_265 = None
+        x_in_169 = torch.conv2d(
+            x_266,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_266 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_267 = torch.nn.functional.batch_norm(
+            x_in_169,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_169 = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_268 = torch.nn.functional.relu(x_267, inplace=True)
+        x_267 = None
+        x_in_170 = torch.conv2d(
+            x_268,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_268 = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_42 = x_in_170[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_42 = x_in_170[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_170 = None
+        resid_42 = resid_41 + out1_42
+        resid_41 = out1_42 = None
+        dense_42 = torch.cat([dense_41, out2_42], dim=1)
+        dense_41 = out2_42 = None
+        x_269 = torch.cat((resid_42, dense_42), dim=1)
+        resid_42 = dense_42 = None
+        x_270 = torch.nn.functional.batch_norm(
+            x_269,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_269 = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        ) = None
+        x_271 = torch.nn.functional.relu(x_270, inplace=False)
+        x_270 = None
+        x_272 = torch.nn.functional.adaptive_avg_pool2d(x_271, 1)
+        x_271 = None
+        x_273 = torch.conv2d(
+            x_272,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_272 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        x_274 = x_273.flatten(1, -1)
+        x_273 = None
+        return (x_274,)
diff --git a/samples/timm/dpn131.mx_in1k/weight_meta.py b/samples/timm/dpn131.mx_in1k/weight_meta.py
new file mode 100644
index 000000000..ac1f53370
--- /dev/null
+++ b/samples/timm/dpn131.mx_in1k/weight_meta.py
@@ -0,0 +1,6780 @@
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_"
+    shape = [128, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.228
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_"
+    shape = [288, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [160, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [160, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [272, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [160, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [160, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [272, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [160, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [160, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [272, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [160, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [160, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [272, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [576, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_7_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [800]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_8_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [1088, 832, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 832, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1312, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1376, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1440, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1472, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1504, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1568]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1568]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1568]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1568]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1568, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1600, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1664, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1696]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1696]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1696]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1696]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1696, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_21_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1760]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1760]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1760]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1760]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1760, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_22_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1792, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_23_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_24_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1856, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_25_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1888]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1888]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1888]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1888]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1888, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_26_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_27_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1952]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1952]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1952]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1952]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1952, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_28_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [2304, 1984, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1280, 1984, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1280, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1280, 2432, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1280, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1280, 2560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1280, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_:
+    name = (
+        "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_"
+    )
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 2688, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.011
+    data = None
diff --git a/samples/timm/dpn68.mx_in1k/graph_hash.txt b/samples/timm/dpn68.mx_in1k/graph_hash.txt
new file mode 100644
index 000000000..b2c9c8414
--- /dev/null
+++ b/samples/timm/dpn68.mx_in1k/graph_hash.txt
@@ -0,0 +1 @@
+2d6e7093358b5f433e8b6760a2bbe8130df7069b07448c757265dd4f72276008
\ No newline at end of file
diff --git a/samples/timm/dpn68.mx_in1k/graph_net.json b/samples/timm/dpn68.mx_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dpn68.mx_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dpn68.mx_in1k/input_meta.py b/samples/timm/dpn68.mx_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn68.mx_in1k/input_tensor_constraints.py b/samples/timm/dpn68.mx_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn68.mx_in1k/model.py b/samples/timm/dpn68.mx_in1k/model.py
new file mode 100644
index 000000000..20ae5fa88
--- /dev/null
+++ b/samples/timm/dpn68.mx_in1k/model.py
@@ -0,0 +1,2993 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        ) = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        ) = l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        input_1 = torch.nn.functional.max_pool2d(
+            x_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_2 = None
+        x_3 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = (None)
+        x_4 = torch.nn.functional.relu(x_3, inplace=True)
+        x_3 = None
+        x_s = torch.conv2d(
+            x_4,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_4 = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = (None)
+        x_s1 = x_s[
+            (
+                slice(None, None, None),
+                slice(None, 64, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2 = x_s[
+            (
+                slice(None, None, None),
+                slice(64, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s = None
+        x_5 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        input_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_6 = torch.nn.functional.relu(x_5, inplace=True)
+        x_5 = None
+        x_in = torch.conv2d(
+            x_6,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_in,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_in_1 = torch.conv2d(
+            x_8,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_8 = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_in_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_in_2 = torch.conv2d(
+            x_10,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1 = x_in_2[
+            (
+                slice(None, None, None),
+                slice(None, 64, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2 = x_in_2[
+            (
+                slice(None, None, None),
+                slice(64, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_2 = None
+        resid = x_s1 + out1
+        x_s1 = out1 = None
+        dense = torch.cat([x_s2, out2], dim=1)
+        x_s2 = out2 = None
+        x_in_3 = torch.cat((resid, dense), dim=1)
+        x_11 = torch.nn.functional.batch_norm(
+            x_in_3,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_3 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_12 = torch.nn.functional.relu(x_11, inplace=True)
+        x_11 = None
+        x_in_4 = torch.conv2d(
+            x_12,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_in_4,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_4 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        x_in_5 = torch.conv2d(
+            x_14,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_14 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_in_5,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_5 = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_in_6 = torch.conv2d(
+            x_16,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_1 = x_in_6[
+            (
+                slice(None, None, None),
+                slice(None, 64, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_1 = x_in_6[
+            (
+                slice(None, None, None),
+                slice(64, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_6 = None
+        resid_1 = resid + out1_1
+        resid = out1_1 = None
+        dense_1 = torch.cat([dense, out2_1], dim=1)
+        dense = out2_1 = None
+        x_in_7 = torch.cat((resid_1, dense_1), dim=1)
+        x_17 = torch.nn.functional.batch_norm(
+            x_in_7,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_7 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_18 = torch.nn.functional.relu(x_17, inplace=True)
+        x_17 = None
+        x_in_8 = torch.conv2d(
+            x_18,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_18 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_in_8,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_8 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_in_9 = torch.conv2d(
+            x_20,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_20 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_21 = torch.nn.functional.batch_norm(
+            x_in_9,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_9 = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_22 = torch.nn.functional.relu(x_21, inplace=True)
+        x_21 = None
+        x_in_10 = torch.conv2d(
+            x_22,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_2 = x_in_10[
+            (
+                slice(None, None, None),
+                slice(None, 64, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_2 = x_in_10[
+            (
+                slice(None, None, None),
+                slice(64, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_10 = None
+        resid_2 = resid_1 + out1_2
+        resid_1 = out1_2 = None
+        dense_2 = torch.cat([dense_1, out2_2], dim=1)
+        dense_1 = out2_2 = None
+        x_in_11 = torch.cat((resid_2, dense_2), dim=1)
+        resid_2 = dense_2 = None
+        x_23 = torch.nn.functional.batch_norm(
+            x_in_11,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_s_1 = torch.conv2d(
+            x_24,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(None, 128, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(128, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_1 = None
+        x_25 = torch.nn.functional.batch_norm(
+            x_in_11,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_11 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_26 = torch.nn.functional.relu(x_25, inplace=True)
+        x_25 = None
+        x_in_12 = torch.conv2d(
+            x_26,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_27 = torch.nn.functional.batch_norm(
+            x_in_12,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_12 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.relu(x_27, inplace=True)
+        x_27 = None
+        x_in_13 = torch.conv2d(
+            x_28,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_28 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_in_13,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_13 = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_in_14 = torch.conv2d(
+            x_30,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_3 = x_in_14[
+            (
+                slice(None, None, None),
+                slice(None, 128, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_3 = x_in_14[
+            (
+                slice(None, None, None),
+                slice(128, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_14 = None
+        resid_3 = x_s1_1 + out1_3
+        x_s1_1 = out1_3 = None
+        dense_3 = torch.cat([x_s2_1, out2_3], dim=1)
+        x_s2_1 = out2_3 = None
+        x_in_15 = torch.cat((resid_3, dense_3), dim=1)
+        x_31 = torch.nn.functional.batch_norm(
+            x_in_15,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_15 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_in_16 = torch.conv2d(
+            x_32,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_in_16,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_16 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_34 = torch.nn.functional.relu(x_33, inplace=True)
+        x_33 = None
+        x_in_17 = torch.conv2d(
+            x_34,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_34 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_in_17,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_17 = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        x_in_18 = torch.conv2d(
+            x_36,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_36 = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_4 = x_in_18[
+            (
+                slice(None, None, None),
+                slice(None, 128, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_4 = x_in_18[
+            (
+                slice(None, None, None),
+                slice(128, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_18 = None
+        resid_4 = resid_3 + out1_4
+        resid_3 = out1_4 = None
+        dense_4 = torch.cat([dense_3, out2_4], dim=1)
+        dense_3 = out2_4 = None
+        x_in_19 = torch.cat((resid_4, dense_4), dim=1)
+        x_37 = torch.nn.functional.batch_norm(
+            x_in_19,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_19 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_in_20 = torch.conv2d(
+            x_38,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_in_20,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_20 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_40 = torch.nn.functional.relu(x_39, inplace=True)
+        x_39 = None
+        x_in_21 = torch.conv2d(
+            x_40,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_40 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_in_21,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_21 = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.relu(x_41, inplace=True)
+        x_41 = None
+        x_in_22 = torch.conv2d(
+            x_42,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_5 = x_in_22[
+            (
+                slice(None, None, None),
+                slice(None, 128, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_5 = x_in_22[
+            (
+                slice(None, None, None),
+                slice(128, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_22 = None
+        resid_5 = resid_4 + out1_5
+        resid_4 = out1_5 = None
+        dense_5 = torch.cat([dense_4, out2_5], dim=1)
+        dense_4 = out2_5 = None
+        x_in_23 = torch.cat((resid_5, dense_5), dim=1)
+        x_43 = torch.nn.functional.batch_norm(
+            x_in_23,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_23 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_44 = torch.nn.functional.relu(x_43, inplace=True)
+        x_43 = None
+        x_in_24 = torch.conv2d(
+            x_44,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_44 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_in_24,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_24 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_in_25 = torch.conv2d(
+            x_46,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_46 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_in_25,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_25 = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_in_26 = torch.conv2d(
+            x_48,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_6 = x_in_26[
+            (
+                slice(None, None, None),
+                slice(None, 128, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_6 = x_in_26[
+            (
+                slice(None, None, None),
+                slice(128, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_26 = None
+        resid_6 = resid_5 + out1_6
+        resid_5 = out1_6 = None
+        dense_6 = torch.cat([dense_5, out2_6], dim=1)
+        dense_5 = out2_6 = None
+        x_in_27 = torch.cat((resid_6, dense_6), dim=1)
+        resid_6 = dense_6 = None
+        x_49 = torch.nn.functional.batch_norm(
+            x_in_27,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_50 = torch.nn.functional.relu(x_49, inplace=True)
+        x_49 = None
+        x_s_2 = torch.conv2d(
+            x_50,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_50 = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_2 = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_in_27,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_27 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_in_28 = torch.conv2d(
+            x_52,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_in_28,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_28 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_54 = torch.nn.functional.relu(x_53, inplace=True)
+        x_53 = None
+        x_in_29 = torch.conv2d(
+            x_54,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_54 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_55 = torch.nn.functional.batch_norm(
+            x_in_29,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_29 = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.relu(x_55, inplace=True)
+        x_55 = None
+        x_in_30 = torch.conv2d(
+            x_56,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_7 = x_in_30[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_7 = x_in_30[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_30 = None
+        resid_7 = x_s1_2 + out1_7
+        x_s1_2 = out1_7 = None
+        dense_7 = torch.cat([x_s2_2, out2_7], dim=1)
+        x_s2_2 = out2_7 = None
+        x_in_31 = torch.cat((resid_7, dense_7), dim=1)
+        x_57 = torch.nn.functional.batch_norm(
+            x_in_31,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_31 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_58 = torch.nn.functional.relu(x_57, inplace=True)
+        x_57 = None
+        x_in_32 = torch.conv2d(
+            x_58,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_58 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_in_32,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_32 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_in_33 = torch.conv2d(
+            x_60,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_60 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_61 = torch.nn.functional.batch_norm(
+            x_in_33,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_33 = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.relu(x_61, inplace=True)
+        x_61 = None
+        x_in_34 = torch.conv2d(
+            x_62,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_8 = x_in_34[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_8 = x_in_34[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_34 = None
+        resid_8 = resid_7 + out1_8
+        resid_7 = out1_8 = None
+        dense_8 = torch.cat([dense_7, out2_8], dim=1)
+        dense_7 = out2_8 = None
+        x_in_35 = torch.cat((resid_8, dense_8), dim=1)
+        x_63 = torch.nn.functional.batch_norm(
+            x_in_35,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_35 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_64 = torch.nn.functional.relu(x_63, inplace=True)
+        x_63 = None
+        x_in_36 = torch.conv2d(
+            x_64,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_65 = torch.nn.functional.batch_norm(
+            x_in_36,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_36 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.relu(x_65, inplace=True)
+        x_65 = None
+        x_in_37 = torch.conv2d(
+            x_66,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_66 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_in_37,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_37 = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_in_38 = torch.conv2d(
+            x_68,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_68 = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_9 = x_in_38[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_9 = x_in_38[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_38 = None
+        resid_9 = resid_8 + out1_9
+        resid_8 = out1_9 = None
+        dense_9 = torch.cat([dense_8, out2_9], dim=1)
+        dense_8 = out2_9 = None
+        x_in_39 = torch.cat((resid_9, dense_9), dim=1)
+        x_69 = torch.nn.functional.batch_norm(
+            x_in_39,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_39 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.nn.functional.relu(x_69, inplace=True)
+        x_69 = None
+        x_in_40 = torch.conv2d(
+            x_70,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_in_40,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_40 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_in_41 = torch.conv2d(
+            x_72,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_72 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_in_41,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_41 = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_in_42 = torch.conv2d(
+            x_74,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_10 = x_in_42[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_10 = x_in_42[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_42 = None
+        resid_10 = resid_9 + out1_10
+        resid_9 = out1_10 = None
+        dense_10 = torch.cat([dense_9, out2_10], dim=1)
+        dense_9 = out2_10 = None
+        x_in_43 = torch.cat((resid_10, dense_10), dim=1)
+        x_75 = torch.nn.functional.batch_norm(
+            x_in_43,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_43 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.nn.functional.relu(x_75, inplace=True)
+        x_75 = None
+        x_in_44 = torch.conv2d(
+            x_76,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_76 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_in_44,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_44 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_in_45 = torch.conv2d(
+            x_78,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_78 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_79 = torch.nn.functional.batch_norm(
+            x_in_45,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_45 = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.relu(x_79, inplace=True)
+        x_79 = None
+        x_in_46 = torch.conv2d(
+            x_80,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_11 = x_in_46[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_11 = x_in_46[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_46 = None
+        resid_11 = resid_10 + out1_11
+        resid_10 = out1_11 = None
+        dense_11 = torch.cat([dense_10, out2_11], dim=1)
+        dense_10 = out2_11 = None
+        x_in_47 = torch.cat((resid_11, dense_11), dim=1)
+        x_81 = torch.nn.functional.batch_norm(
+            x_in_47,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_47 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_in_48 = torch.conv2d(
+            x_82,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_in_48,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_48 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.relu(x_83, inplace=True)
+        x_83 = None
+        x_in_49 = torch.conv2d(
+            x_84,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_84 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_in_49,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_49 = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_86 = torch.nn.functional.relu(x_85, inplace=True)
+        x_85 = None
+        x_in_50 = torch.conv2d(
+            x_86,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_12 = x_in_50[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_12 = x_in_50[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_50 = None
+        resid_12 = resid_11 + out1_12
+        resid_11 = out1_12 = None
+        dense_12 = torch.cat([dense_11, out2_12], dim=1)
+        dense_11 = out2_12 = None
+        x_in_51 = torch.cat((resid_12, dense_12), dim=1)
+        x_87 = torch.nn.functional.batch_norm(
+            x_in_51,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_51 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=True)
+        x_87 = None
+        x_in_52 = torch.conv2d(
+            x_88,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_88 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_89 = torch.nn.functional.batch_norm(
+            x_in_52,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_52 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_in_53 = torch.conv2d(
+            x_90,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_90 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_in_53,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_53 = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        x_in_54 = torch.conv2d(
+            x_92,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_13 = x_in_54[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_13 = x_in_54[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_54 = None
+        resid_13 = resid_12 + out1_13
+        resid_12 = out1_13 = None
+        dense_13 = torch.cat([dense_12, out2_13], dim=1)
+        dense_12 = out2_13 = None
+        x_in_55 = torch.cat((resid_13, dense_13), dim=1)
+        x_93 = torch.nn.functional.batch_norm(
+            x_in_55,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_55 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=True)
+        x_93 = None
+        x_in_56 = torch.conv2d(
+            x_94,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_94 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_95 = torch.nn.functional.batch_norm(
+            x_in_56,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_56 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_in_57 = torch.conv2d(
+            x_96,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_96 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_97 = torch.nn.functional.batch_norm(
+            x_in_57,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_57 = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.relu(x_97, inplace=True)
+        x_97 = None
+        x_in_58 = torch.conv2d(
+            x_98,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_14 = x_in_58[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_14 = x_in_58[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_58 = None
+        resid_14 = resid_13 + out1_14
+        resid_13 = out1_14 = None
+        dense_14 = torch.cat([dense_13, out2_14], dim=1)
+        dense_13 = out2_14 = None
+        x_in_59 = torch.cat((resid_14, dense_14), dim=1)
+        x_99 = torch.nn.functional.batch_norm(
+            x_in_59,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_59 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_100 = torch.nn.functional.relu(x_99, inplace=True)
+        x_99 = None
+        x_in_60 = torch.conv2d(
+            x_100,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_in_60,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_60 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_102 = torch.nn.functional.relu(x_101, inplace=True)
+        x_101 = None
+        x_in_61 = torch.conv2d(
+            x_102,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_102 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_103 = torch.nn.functional.batch_norm(
+            x_in_61,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_61 = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_in_62 = torch.conv2d(
+            x_104,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_15 = x_in_62[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_15 = x_in_62[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_62 = None
+        resid_15 = resid_14 + out1_15
+        resid_14 = out1_15 = None
+        dense_15 = torch.cat([dense_14, out2_15], dim=1)
+        dense_14 = out2_15 = None
+        x_in_63 = torch.cat((resid_15, dense_15), dim=1)
+        x_105 = torch.nn.functional.batch_norm(
+            x_in_63,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_63 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_106 = torch.nn.functional.relu(x_105, inplace=True)
+        x_105 = None
+        x_in_64 = torch.conv2d(
+            x_106,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_107 = torch.nn.functional.batch_norm(
+            x_in_64,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_64 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.relu(x_107, inplace=True)
+        x_107 = None
+        x_in_65 = torch.conv2d(
+            x_108,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_108 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_109 = torch.nn.functional.batch_norm(
+            x_in_65,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_65 = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_110 = torch.nn.functional.relu(x_109, inplace=True)
+        x_109 = None
+        x_in_66 = torch.conv2d(
+            x_110,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_110 = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_16 = x_in_66[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_16 = x_in_66[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_66 = None
+        resid_16 = resid_15 + out1_16
+        resid_15 = out1_16 = None
+        dense_16 = torch.cat([dense_15, out2_16], dim=1)
+        dense_15 = out2_16 = None
+        x_in_67 = torch.cat((resid_16, dense_16), dim=1)
+        x_111 = torch.nn.functional.batch_norm(
+            x_in_67,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_67 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_in_68 = torch.conv2d(
+            x_112,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_113 = torch.nn.functional.batch_norm(
+            x_in_68,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_68 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_114 = torch.nn.functional.relu(x_113, inplace=True)
+        x_113 = None
+        x_in_69 = torch.conv2d(
+            x_114,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_114 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_115 = torch.nn.functional.batch_norm(
+            x_in_69,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_69 = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_116 = torch.nn.functional.relu(x_115, inplace=True)
+        x_115 = None
+        x_in_70 = torch.conv2d(
+            x_116,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_116 = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_17 = x_in_70[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_17 = x_in_70[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_70 = None
+        resid_17 = resid_16 + out1_17
+        resid_16 = out1_17 = None
+        dense_17 = torch.cat([dense_16, out2_17], dim=1)
+        dense_16 = out2_17 = None
+        x_in_71 = torch.cat((resid_17, dense_17), dim=1)
+        x_117 = torch.nn.functional.batch_norm(
+            x_in_71,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_71 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_in_72 = torch.conv2d(
+            x_118,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_119 = torch.nn.functional.batch_norm(
+            x_in_72,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_72 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_120 = torch.nn.functional.relu(x_119, inplace=True)
+        x_119 = None
+        x_in_73 = torch.conv2d(
+            x_120,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_120 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_121 = torch.nn.functional.batch_norm(
+            x_in_73,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_73 = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.relu(x_121, inplace=True)
+        x_121 = None
+        x_in_74 = torch.conv2d(
+            x_122,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_18 = x_in_74[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_18 = x_in_74[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_74 = None
+        resid_18 = resid_17 + out1_18
+        resid_17 = out1_18 = None
+        dense_18 = torch.cat([dense_17, out2_18], dim=1)
+        dense_17 = out2_18 = None
+        x_in_75 = torch.cat((resid_18, dense_18), dim=1)
+        resid_18 = dense_18 = None
+        x_123 = torch.nn.functional.batch_norm(
+            x_in_75,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.relu(x_123, inplace=True)
+        x_123 = None
+        x_s_3 = torch.conv2d(
+            x_124,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_3 = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_in_75,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_75 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_in_76 = torch.conv2d(
+            x_126,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_127 = torch.nn.functional.batch_norm(
+            x_in_76,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_76 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_128 = torch.nn.functional.relu(x_127, inplace=True)
+        x_127 = None
+        x_in_77 = torch.conv2d(
+            x_128,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_128 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_129 = torch.nn.functional.batch_norm(
+            x_in_77,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_77 = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_130 = torch.nn.functional.relu(x_129, inplace=True)
+        x_129 = None
+        x_in_78 = torch.conv2d(
+            x_130,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_19 = x_in_78[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_19 = x_in_78[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_78 = None
+        resid_19 = x_s1_3 + out1_19
+        x_s1_3 = out1_19 = None
+        dense_19 = torch.cat([x_s2_3, out2_19], dim=1)
+        x_s2_3 = out2_19 = None
+        x_in_79 = torch.cat((resid_19, dense_19), dim=1)
+        x_131 = torch.nn.functional.batch_norm(
+            x_in_79,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_79 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_132 = torch.nn.functional.relu(x_131, inplace=True)
+        x_131 = None
+        x_in_80 = torch.conv2d(
+            x_132,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_132 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_133 = torch.nn.functional.batch_norm(
+            x_in_80,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_80 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_in_81 = torch.conv2d(
+            x_134,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_134 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_135 = torch.nn.functional.batch_norm(
+            x_in_81,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_81 = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.relu(x_135, inplace=True)
+        x_135 = None
+        x_in_82 = torch.conv2d(
+            x_136,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_136 = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_20 = x_in_82[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_20 = x_in_82[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_82 = None
+        resid_20 = resid_19 + out1_20
+        resid_19 = out1_20 = None
+        dense_20 = torch.cat([dense_19, out2_20], dim=1)
+        dense_19 = out2_20 = None
+        x_in_83 = torch.cat((resid_20, dense_20), dim=1)
+        x_137 = torch.nn.functional.batch_norm(
+            x_in_83,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_83 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_138 = torch.nn.functional.relu(x_137, inplace=True)
+        x_137 = None
+        x_in_84 = torch.conv2d(
+            x_138,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_138 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_139 = torch.nn.functional.batch_norm(
+            x_in_84,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_84 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_in_85 = torch.conv2d(
+            x_140,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_140 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_141 = torch.nn.functional.batch_norm(
+            x_in_85,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_85 = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_142 = torch.nn.functional.relu(x_141, inplace=True)
+        x_141 = None
+        x_in_86 = torch.conv2d(
+            x_142,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_142 = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_21 = x_in_86[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_21 = x_in_86[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_86 = None
+        resid_21 = resid_20 + out1_21
+        resid_20 = out1_21 = None
+        dense_21 = torch.cat([dense_20, out2_21], dim=1)
+        dense_20 = out2_21 = None
+        x_143 = torch.cat((resid_21, dense_21), dim=1)
+        resid_21 = dense_21 = None
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_143 = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.relu(x_144, inplace=False)
+        x_144 = None
+        x_146 = torch.nn.functional.adaptive_avg_pool2d(x_145, 1)
+        x_145 = None
+        x_147 = torch.conv2d(
+            x_146,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_146 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        x_148 = x_147.flatten(1, -1)
+        x_147 = None
+        return (x_148,)
diff --git a/samples/timm/dpn68.mx_in1k/weight_meta.py b/samples/timm/dpn68.mx_in1k/weight_meta.py
new file mode 100644
index 000000000..28cd56cd2
--- /dev/null
+++ b/samples/timm/dpn68.mx_in1k/weight_meta.py
@@ -0,0 +1,3630 @@
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_"
+    shape = [10, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.108
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.231
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_"
+    shape = [96, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.184
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [128, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.184
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [80, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [128, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [80, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [80, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [192, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [256, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [160, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [256, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [160, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [160, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [256, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [160, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [320, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [544]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [544]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [544]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [544]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 544, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [288, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [640, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1024, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1024, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [576, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1024, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1024, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [576, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1024, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1024, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [576, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_:
+    name = (
+        "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_"
+    )
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 832, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
diff --git a/samples/timm/dpn68b.mx_in1k/graph_hash.txt b/samples/timm/dpn68b.mx_in1k/graph_hash.txt
new file mode 100644
index 000000000..38f0fe5af
--- /dev/null
+++ b/samples/timm/dpn68b.mx_in1k/graph_hash.txt
@@ -0,0 +1 @@
+0bc01cc5a14945f81395cc91d3128a3eefaedf66bdf56ac96523c32ef6368f0f
\ No newline at end of file
diff --git a/samples/timm/dpn68b.mx_in1k/graph_net.json b/samples/timm/dpn68b.mx_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dpn68b.mx_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dpn68b.mx_in1k/input_meta.py b/samples/timm/dpn68b.mx_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn68b.mx_in1k/input_tensor_constraints.py b/samples/timm/dpn68b.mx_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn68b.mx_in1k/model.py b/samples/timm/dpn68b.mx_in1k/model.py
new file mode 100644
index 000000000..36ef46216
--- /dev/null
+++ b/samples/timm/dpn68b.mx_in1k/model.py
@@ -0,0 +1,3059 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_5_modules_c1x1_c1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_5_modules_c1x1_c2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_6_modules_c1x1_c1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_6_modules_c1x1_c2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_7_modules_c1x1_c1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_7_modules_c1x1_c2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_8_modules_c1x1_c1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_8_modules_c1x1_c2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_9_modules_c1x1_c1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_9_modules_c1x1_c2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_10_modules_c1x1_c1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_10_modules_c1x1_c2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_11_modules_c1x1_c1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_11_modules_c1x1_c2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_12_modules_c1x1_c1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_12_modules_c1x1_c2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv2_1_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv2_1_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv2_2_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv2_2_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv2_3_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv2_3_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv3_1_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv3_1_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv3_2_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv3_2_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv3_3_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv3_3_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv3_4_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv3_4_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_1_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_1_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_2_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_2_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_3_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_3_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_4_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_4_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_5_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_5_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_6_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_6_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_7_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_7_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_8_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_8_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_9_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_9_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_10_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_10_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_11_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_11_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_12_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv4_12_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_1_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_1_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_2_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_2_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c1_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_3_modules_c1x1_c1_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c2_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_3_modules_c1x1_c2_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        ) = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        ) = l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        input_1 = torch.nn.functional.max_pool2d(
+            x_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_2 = None
+        x_3 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = (None)
+        x_4 = torch.nn.functional.relu(x_3, inplace=True)
+        x_3 = None
+        x_s = torch.conv2d(
+            x_4,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_4 = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = (None)
+        x_s1 = x_s[
+            (
+                slice(None, None, None),
+                slice(None, 64, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2 = x_s[
+            (
+                slice(None, None, None),
+                slice(64, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s = None
+        x_5 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        input_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_6 = torch.nn.functional.relu(x_5, inplace=True)
+        x_5 = None
+        x_in = torch.conv2d(
+            x_6,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_in,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_in_1 = torch.conv2d(
+            x_8,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_8 = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_in_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        out1 = torch.conv2d(
+            x_10,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2 = torch.conv2d(
+            x_10,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = (
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid = x_s1 + out1
+        x_s1 = out1 = None
+        dense = torch.cat([x_s2, out2], dim=1)
+        x_s2 = out2 = None
+        x_in_2 = torch.cat((resid, dense), dim=1)
+        x_11 = torch.nn.functional.batch_norm(
+            x_in_2,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_2 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_12 = torch.nn.functional.relu(x_11, inplace=True)
+        x_11 = None
+        x_in_3 = torch.conv2d(
+            x_12,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_in_3,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_3 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        x_in_4 = torch.conv2d(
+            x_14,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_14 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_in_4,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_4 = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        out1_1 = torch.conv2d(
+            x_16,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_1 = torch.conv2d(
+            x_16,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_16 = (
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_1 = resid + out1_1
+        resid = out1_1 = None
+        dense_1 = torch.cat([dense, out2_1], dim=1)
+        dense = out2_1 = None
+        x_in_5 = torch.cat((resid_1, dense_1), dim=1)
+        x_17 = torch.nn.functional.batch_norm(
+            x_in_5,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_5 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_18 = torch.nn.functional.relu(x_17, inplace=True)
+        x_17 = None
+        x_in_6 = torch.conv2d(
+            x_18,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_18 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_in_6,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_6 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_in_7 = torch.conv2d(
+            x_20,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_20 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_21 = torch.nn.functional.batch_norm(
+            x_in_7,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_7 = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_22 = torch.nn.functional.relu(x_21, inplace=True)
+        x_21 = None
+        out1_2 = torch.conv2d(
+            x_22,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_2 = torch.conv2d(
+            x_22,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = (
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_2 = resid_1 + out1_2
+        resid_1 = out1_2 = None
+        dense_2 = torch.cat([dense_1, out2_2], dim=1)
+        dense_1 = out2_2 = None
+        x_in_8 = torch.cat((resid_2, dense_2), dim=1)
+        resid_2 = dense_2 = None
+        x_23 = torch.nn.functional.batch_norm(
+            x_in_8,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_s_1 = torch.conv2d(
+            x_24,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(None, 128, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(128, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_1 = None
+        x_25 = torch.nn.functional.batch_norm(
+            x_in_8,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_8 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_26 = torch.nn.functional.relu(x_25, inplace=True)
+        x_25 = None
+        x_in_9 = torch.conv2d(
+            x_26,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_27 = torch.nn.functional.batch_norm(
+            x_in_9,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_9 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.relu(x_27, inplace=True)
+        x_27 = None
+        x_in_10 = torch.conv2d(
+            x_28,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_28 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_in_10,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_10 = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        out1_3 = torch.conv2d(
+            x_30,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_3 = torch.conv2d(
+            x_30,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = (
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_3 = x_s1_1 + out1_3
+        x_s1_1 = out1_3 = None
+        dense_3 = torch.cat([x_s2_1, out2_3], dim=1)
+        x_s2_1 = out2_3 = None
+        x_in_11 = torch.cat((resid_3, dense_3), dim=1)
+        x_31 = torch.nn.functional.batch_norm(
+            x_in_11,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_11 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_in_12 = torch.conv2d(
+            x_32,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_in_12,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_12 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_34 = torch.nn.functional.relu(x_33, inplace=True)
+        x_33 = None
+        x_in_13 = torch.conv2d(
+            x_34,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_34 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_in_13,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_13 = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        out1_4 = torch.conv2d(
+            x_36,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_4 = torch.conv2d(
+            x_36,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_36 = (
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_4 = resid_3 + out1_4
+        resid_3 = out1_4 = None
+        dense_4 = torch.cat([dense_3, out2_4], dim=1)
+        dense_3 = out2_4 = None
+        x_in_14 = torch.cat((resid_4, dense_4), dim=1)
+        x_37 = torch.nn.functional.batch_norm(
+            x_in_14,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_14 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_in_15 = torch.conv2d(
+            x_38,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_in_15,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_15 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_40 = torch.nn.functional.relu(x_39, inplace=True)
+        x_39 = None
+        x_in_16 = torch.conv2d(
+            x_40,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_40 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_in_16,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_16 = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.relu(x_41, inplace=True)
+        x_41 = None
+        out1_5 = torch.conv2d(
+            x_42,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_5 = torch.conv2d(
+            x_42,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = (
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_5 = resid_4 + out1_5
+        resid_4 = out1_5 = None
+        dense_5 = torch.cat([dense_4, out2_5], dim=1)
+        dense_4 = out2_5 = None
+        x_in_17 = torch.cat((resid_5, dense_5), dim=1)
+        x_43 = torch.nn.functional.batch_norm(
+            x_in_17,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_17 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_44 = torch.nn.functional.relu(x_43, inplace=True)
+        x_43 = None
+        x_in_18 = torch.conv2d(
+            x_44,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_44 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_in_18,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_18 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_in_19 = torch.conv2d(
+            x_46,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_46 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_in_19,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_19 = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        out1_6 = torch.conv2d(
+            x_48,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_6 = torch.conv2d(
+            x_48,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = (
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_6 = resid_5 + out1_6
+        resid_5 = out1_6 = None
+        dense_6 = torch.cat([dense_5, out2_6], dim=1)
+        dense_5 = out2_6 = None
+        x_in_20 = torch.cat((resid_6, dense_6), dim=1)
+        resid_6 = dense_6 = None
+        x_49 = torch.nn.functional.batch_norm(
+            x_in_20,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_50 = torch.nn.functional.relu(x_49, inplace=True)
+        x_49 = None
+        x_s_2 = torch.conv2d(
+            x_50,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_50 = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_2 = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_in_20,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_20 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_in_21 = torch.conv2d(
+            x_52,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_in_21,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_21 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_54 = torch.nn.functional.relu(x_53, inplace=True)
+        x_53 = None
+        x_in_22 = torch.conv2d(
+            x_54,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_54 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_55 = torch.nn.functional.batch_norm(
+            x_in_22,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_22 = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.relu(x_55, inplace=True)
+        x_55 = None
+        out1_7 = torch.conv2d(
+            x_56,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_7 = torch.conv2d(
+            x_56,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = (
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_7 = x_s1_2 + out1_7
+        x_s1_2 = out1_7 = None
+        dense_7 = torch.cat([x_s2_2, out2_7], dim=1)
+        x_s2_2 = out2_7 = None
+        x_in_23 = torch.cat((resid_7, dense_7), dim=1)
+        x_57 = torch.nn.functional.batch_norm(
+            x_in_23,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_23 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_58 = torch.nn.functional.relu(x_57, inplace=True)
+        x_57 = None
+        x_in_24 = torch.conv2d(
+            x_58,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_58 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_in_24,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_24 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_in_25 = torch.conv2d(
+            x_60,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_60 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_61 = torch.nn.functional.batch_norm(
+            x_in_25,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_25 = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.relu(x_61, inplace=True)
+        x_61 = None
+        out1_8 = torch.conv2d(
+            x_62,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_8 = torch.conv2d(
+            x_62,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = (
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_8 = resid_7 + out1_8
+        resid_7 = out1_8 = None
+        dense_8 = torch.cat([dense_7, out2_8], dim=1)
+        dense_7 = out2_8 = None
+        x_in_26 = torch.cat((resid_8, dense_8), dim=1)
+        x_63 = torch.nn.functional.batch_norm(
+            x_in_26,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_26 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_64 = torch.nn.functional.relu(x_63, inplace=True)
+        x_63 = None
+        x_in_27 = torch.conv2d(
+            x_64,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_65 = torch.nn.functional.batch_norm(
+            x_in_27,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_27 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.relu(x_65, inplace=True)
+        x_65 = None
+        x_in_28 = torch.conv2d(
+            x_66,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_66 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_in_28,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_28 = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        out1_9 = torch.conv2d(
+            x_68,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_9 = torch.conv2d(
+            x_68,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_68 = (
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_9 = resid_8 + out1_9
+        resid_8 = out1_9 = None
+        dense_9 = torch.cat([dense_8, out2_9], dim=1)
+        dense_8 = out2_9 = None
+        x_in_29 = torch.cat((resid_9, dense_9), dim=1)
+        x_69 = torch.nn.functional.batch_norm(
+            x_in_29,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_29 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.nn.functional.relu(x_69, inplace=True)
+        x_69 = None
+        x_in_30 = torch.conv2d(
+            x_70,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_in_30,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_30 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_in_31 = torch.conv2d(
+            x_72,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_72 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_in_31,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_31 = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        out1_10 = torch.conv2d(
+            x_74,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_10 = torch.conv2d(
+            x_74,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = (
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_10 = resid_9 + out1_10
+        resid_9 = out1_10 = None
+        dense_10 = torch.cat([dense_9, out2_10], dim=1)
+        dense_9 = out2_10 = None
+        x_in_32 = torch.cat((resid_10, dense_10), dim=1)
+        x_75 = torch.nn.functional.batch_norm(
+            x_in_32,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_32 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.nn.functional.relu(x_75, inplace=True)
+        x_75 = None
+        x_in_33 = torch.conv2d(
+            x_76,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_76 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_in_33,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_33 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_in_34 = torch.conv2d(
+            x_78,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_78 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_79 = torch.nn.functional.batch_norm(
+            x_in_34,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_34 = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.relu(x_79, inplace=True)
+        x_79 = None
+        out1_11 = torch.conv2d(
+            x_80,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_11 = torch.conv2d(
+            x_80,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = (
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_11 = resid_10 + out1_11
+        resid_10 = out1_11 = None
+        dense_11 = torch.cat([dense_10, out2_11], dim=1)
+        dense_10 = out2_11 = None
+        x_in_35 = torch.cat((resid_11, dense_11), dim=1)
+        x_81 = torch.nn.functional.batch_norm(
+            x_in_35,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_35 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_in_36 = torch.conv2d(
+            x_82,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_in_36,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_36 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.relu(x_83, inplace=True)
+        x_83 = None
+        x_in_37 = torch.conv2d(
+            x_84,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_84 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_in_37,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_37 = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_86 = torch.nn.functional.relu(x_85, inplace=True)
+        x_85 = None
+        out1_12 = torch.conv2d(
+            x_86,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_12 = torch.conv2d(
+            x_86,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = (
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_12 = resid_11 + out1_12
+        resid_11 = out1_12 = None
+        dense_12 = torch.cat([dense_11, out2_12], dim=1)
+        dense_11 = out2_12 = None
+        x_in_38 = torch.cat((resid_12, dense_12), dim=1)
+        x_87 = torch.nn.functional.batch_norm(
+            x_in_38,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_38 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=True)
+        x_87 = None
+        x_in_39 = torch.conv2d(
+            x_88,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_88 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_89 = torch.nn.functional.batch_norm(
+            x_in_39,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_39 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_in_40 = torch.conv2d(
+            x_90,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_90 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_in_40,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_40 = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        out1_13 = torch.conv2d(
+            x_92,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_13 = torch.conv2d(
+            x_92,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = (
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_13 = resid_12 + out1_13
+        resid_12 = out1_13 = None
+        dense_13 = torch.cat([dense_12, out2_13], dim=1)
+        dense_12 = out2_13 = None
+        x_in_41 = torch.cat((resid_13, dense_13), dim=1)
+        x_93 = torch.nn.functional.batch_norm(
+            x_in_41,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_41 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=True)
+        x_93 = None
+        x_in_42 = torch.conv2d(
+            x_94,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_94 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_95 = torch.nn.functional.batch_norm(
+            x_in_42,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_42 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_in_43 = torch.conv2d(
+            x_96,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_96 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_97 = torch.nn.functional.batch_norm(
+            x_in_43,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_43 = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.relu(x_97, inplace=True)
+        x_97 = None
+        out1_14 = torch.conv2d(
+            x_98,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_14 = torch.conv2d(
+            x_98,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = (
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_14 = resid_13 + out1_14
+        resid_13 = out1_14 = None
+        dense_14 = torch.cat([dense_13, out2_14], dim=1)
+        dense_13 = out2_14 = None
+        x_in_44 = torch.cat((resid_14, dense_14), dim=1)
+        x_99 = torch.nn.functional.batch_norm(
+            x_in_44,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_44 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_100 = torch.nn.functional.relu(x_99, inplace=True)
+        x_99 = None
+        x_in_45 = torch.conv2d(
+            x_100,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_in_45,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_45 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_102 = torch.nn.functional.relu(x_101, inplace=True)
+        x_101 = None
+        x_in_46 = torch.conv2d(
+            x_102,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_102 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_103 = torch.nn.functional.batch_norm(
+            x_in_46,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_46 = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        out1_15 = torch.conv2d(
+            x_104,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_15 = torch.conv2d(
+            x_104,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = (
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_15 = resid_14 + out1_15
+        resid_14 = out1_15 = None
+        dense_15 = torch.cat([dense_14, out2_15], dim=1)
+        dense_14 = out2_15 = None
+        x_in_47 = torch.cat((resid_15, dense_15), dim=1)
+        x_105 = torch.nn.functional.batch_norm(
+            x_in_47,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_47 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_106 = torch.nn.functional.relu(x_105, inplace=True)
+        x_105 = None
+        x_in_48 = torch.conv2d(
+            x_106,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_107 = torch.nn.functional.batch_norm(
+            x_in_48,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_48 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.relu(x_107, inplace=True)
+        x_107 = None
+        x_in_49 = torch.conv2d(
+            x_108,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_108 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_109 = torch.nn.functional.batch_norm(
+            x_in_49,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_49 = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_110 = torch.nn.functional.relu(x_109, inplace=True)
+        x_109 = None
+        out1_16 = torch.conv2d(
+            x_110,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_16 = torch.conv2d(
+            x_110,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_110 = (
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_16 = resid_15 + out1_16
+        resid_15 = out1_16 = None
+        dense_16 = torch.cat([dense_15, out2_16], dim=1)
+        dense_15 = out2_16 = None
+        x_in_50 = torch.cat((resid_16, dense_16), dim=1)
+        x_111 = torch.nn.functional.batch_norm(
+            x_in_50,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_50 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_in_51 = torch.conv2d(
+            x_112,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_113 = torch.nn.functional.batch_norm(
+            x_in_51,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_51 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_114 = torch.nn.functional.relu(x_113, inplace=True)
+        x_113 = None
+        x_in_52 = torch.conv2d(
+            x_114,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_114 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_115 = torch.nn.functional.batch_norm(
+            x_in_52,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_52 = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_116 = torch.nn.functional.relu(x_115, inplace=True)
+        x_115 = None
+        out1_17 = torch.conv2d(
+            x_116,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_17 = torch.conv2d(
+            x_116,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_116 = (
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_17 = resid_16 + out1_17
+        resid_16 = out1_17 = None
+        dense_17 = torch.cat([dense_16, out2_17], dim=1)
+        dense_16 = out2_17 = None
+        x_in_53 = torch.cat((resid_17, dense_17), dim=1)
+        x_117 = torch.nn.functional.batch_norm(
+            x_in_53,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_53 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_in_54 = torch.conv2d(
+            x_118,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_119 = torch.nn.functional.batch_norm(
+            x_in_54,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_54 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_120 = torch.nn.functional.relu(x_119, inplace=True)
+        x_119 = None
+        x_in_55 = torch.conv2d(
+            x_120,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_120 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_121 = torch.nn.functional.batch_norm(
+            x_in_55,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_55 = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.relu(x_121, inplace=True)
+        x_121 = None
+        out1_18 = torch.conv2d(
+            x_122,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_18 = torch.conv2d(
+            x_122,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = (
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_18 = resid_17 + out1_18
+        resid_17 = out1_18 = None
+        dense_18 = torch.cat([dense_17, out2_18], dim=1)
+        dense_17 = out2_18 = None
+        x_in_56 = torch.cat((resid_18, dense_18), dim=1)
+        resid_18 = dense_18 = None
+        x_123 = torch.nn.functional.batch_norm(
+            x_in_56,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.relu(x_123, inplace=True)
+        x_123 = None
+        x_s_3 = torch.conv2d(
+            x_124,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_3 = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_in_56,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_56 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_in_57 = torch.conv2d(
+            x_126,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_127 = torch.nn.functional.batch_norm(
+            x_in_57,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_57 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_128 = torch.nn.functional.relu(x_127, inplace=True)
+        x_127 = None
+        x_in_58 = torch.conv2d(
+            x_128,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_128 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_129 = torch.nn.functional.batch_norm(
+            x_in_58,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_58 = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_130 = torch.nn.functional.relu(x_129, inplace=True)
+        x_129 = None
+        out1_19 = torch.conv2d(
+            x_130,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_19 = torch.conv2d(
+            x_130,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = (
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_19 = x_s1_3 + out1_19
+        x_s1_3 = out1_19 = None
+        dense_19 = torch.cat([x_s2_3, out2_19], dim=1)
+        x_s2_3 = out2_19 = None
+        x_in_59 = torch.cat((resid_19, dense_19), dim=1)
+        x_131 = torch.nn.functional.batch_norm(
+            x_in_59,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_59 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_132 = torch.nn.functional.relu(x_131, inplace=True)
+        x_131 = None
+        x_in_60 = torch.conv2d(
+            x_132,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_132 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_133 = torch.nn.functional.batch_norm(
+            x_in_60,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_60 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_in_61 = torch.conv2d(
+            x_134,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_134 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_135 = torch.nn.functional.batch_norm(
+            x_in_61,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_61 = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.relu(x_135, inplace=True)
+        x_135 = None
+        out1_20 = torch.conv2d(
+            x_136,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_20 = torch.conv2d(
+            x_136,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_136 = (
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_20 = resid_19 + out1_20
+        resid_19 = out1_20 = None
+        dense_20 = torch.cat([dense_19, out2_20], dim=1)
+        dense_19 = out2_20 = None
+        x_in_62 = torch.cat((resid_20, dense_20), dim=1)
+        x_137 = torch.nn.functional.batch_norm(
+            x_in_62,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_62 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_138 = torch.nn.functional.relu(x_137, inplace=True)
+        x_137 = None
+        x_in_63 = torch.conv2d(
+            x_138,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_138 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_139 = torch.nn.functional.batch_norm(
+            x_in_63,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_63 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_in_64 = torch.conv2d(
+            x_140,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_140 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_141 = torch.nn.functional.batch_norm(
+            x_in_64,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_64 = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_142 = torch.nn.functional.relu(x_141, inplace=True)
+        x_141 = None
+        out1_21 = torch.conv2d(
+            x_142,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c1_parameters_weight_ = (
+            None
+        )
+        out2_21 = torch.conv2d(
+            x_142,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_142 = (
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c2_parameters_weight_
+        ) = None
+        resid_21 = resid_20 + out1_21
+        resid_20 = out1_21 = None
+        dense_21 = torch.cat([dense_20, out2_21], dim=1)
+        dense_20 = out2_21 = None
+        x_143 = torch.cat((resid_21, dense_21), dim=1)
+        resid_21 = dense_21 = None
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_143 = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.relu(x_144, inplace=False)
+        x_144 = None
+        x_146 = torch.nn.functional.adaptive_avg_pool2d(x_145, 1)
+        x_145 = None
+        x_147 = torch.conv2d(
+            x_146,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_146 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        x_148 = x_147.flatten(1, -1)
+        x_147 = None
+        return (x_148,)
diff --git a/samples/timm/dpn68b.mx_in1k/weight_meta.py b/samples/timm/dpn68b.mx_in1k/weight_meta.py
new file mode 100644
index 000000000..4b45afade
--- /dev/null
+++ b/samples/timm/dpn68b.mx_in1k/weight_meta.py
@@ -0,0 +1,3850 @@
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_"
+    shape = [10, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.113
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_"
+    shape = [96, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.179
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [128, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.184
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c1_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c2_parameters_weight_"
+    shape = [16, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [128, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c1_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c2_parameters_weight_"
+    shape = [16, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [128, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c1_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c2_parameters_weight_"
+    shape = [16, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [192, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [256, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [256, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [256, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [256, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [320, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [544]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [544]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [544]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [544]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 544, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [512, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [512, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c2_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [640, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1024, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1024, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c2_parameters_weight_"
+    shape = [64, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1024, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1024, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c2_parameters_weight_"
+    shape = [64, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1024, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1024, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c1_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c2_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c2_parameters_weight_"
+    shape = [64, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_:
+    name = (
+        "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_"
+    )
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_"
+    shape = [832]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 832, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
diff --git a/samples/timm/dpn92.mx_in1k/graph_hash.txt b/samples/timm/dpn92.mx_in1k/graph_hash.txt
new file mode 100644
index 000000000..a698f6079
--- /dev/null
+++ b/samples/timm/dpn92.mx_in1k/graph_hash.txt
@@ -0,0 +1 @@
+44eea4b0daedf0f4bf6f6631d2ac865efd90f06fc3584b24517eaeb4e250d721
\ No newline at end of file
diff --git a/samples/timm/dpn92.mx_in1k/graph_net.json b/samples/timm/dpn92.mx_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dpn92.mx_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dpn92.mx_in1k/input_meta.py b/samples/timm/dpn92.mx_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn92.mx_in1k/input_tensor_constraints.py b/samples/timm/dpn92.mx_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn92.mx_in1k/model.py b/samples/timm/dpn92.mx_in1k/model.py
new file mode 100644
index 000000000..acfd045e5
--- /dev/null
+++ b/samples/timm/dpn92.mx_in1k/model.py
@@ -0,0 +1,3961 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
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+        L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        ) = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        ) = l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        input_1 = torch.nn.functional.max_pool2d(
+            x_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_2 = None
+        x_3 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = (None)
+        x_4 = torch.nn.functional.relu(x_3, inplace=True)
+        x_3 = None
+        x_s = torch.conv2d(
+            x_4,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_4 = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = (None)
+        x_s1 = x_s[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2 = x_s[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s = None
+        x_5 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        input_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_6 = torch.nn.functional.relu(x_5, inplace=True)
+        x_5 = None
+        x_in = torch.conv2d(
+            x_6,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_in,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_in_1 = torch.conv2d(
+            x_8,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_8 = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_in_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_in_2 = torch.conv2d(
+            x_10,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1 = x_in_2[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2 = x_in_2[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_2 = None
+        resid = x_s1 + out1
+        x_s1 = out1 = None
+        dense = torch.cat([x_s2, out2], dim=1)
+        x_s2 = out2 = None
+        x_in_3 = torch.cat((resid, dense), dim=1)
+        x_11 = torch.nn.functional.batch_norm(
+            x_in_3,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_3 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_12 = torch.nn.functional.relu(x_11, inplace=True)
+        x_11 = None
+        x_in_4 = torch.conv2d(
+            x_12,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_in_4,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_4 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        x_in_5 = torch.conv2d(
+            x_14,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_14 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_in_5,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_5 = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_in_6 = torch.conv2d(
+            x_16,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_1 = x_in_6[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_1 = x_in_6[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_6 = None
+        resid_1 = resid + out1_1
+        resid = out1_1 = None
+        dense_1 = torch.cat([dense, out2_1], dim=1)
+        dense = out2_1 = None
+        x_in_7 = torch.cat((resid_1, dense_1), dim=1)
+        x_17 = torch.nn.functional.batch_norm(
+            x_in_7,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_7 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_18 = torch.nn.functional.relu(x_17, inplace=True)
+        x_17 = None
+        x_in_8 = torch.conv2d(
+            x_18,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_18 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_in_8,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_8 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_in_9 = torch.conv2d(
+            x_20,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_20 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_21 = torch.nn.functional.batch_norm(
+            x_in_9,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_9 = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_22 = torch.nn.functional.relu(x_21, inplace=True)
+        x_21 = None
+        x_in_10 = torch.conv2d(
+            x_22,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_2 = x_in_10[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_2 = x_in_10[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_10 = None
+        resid_2 = resid_1 + out1_2
+        resid_1 = out1_2 = None
+        dense_2 = torch.cat([dense_1, out2_2], dim=1)
+        dense_1 = out2_2 = None
+        x_in_11 = torch.cat((resid_2, dense_2), dim=1)
+        resid_2 = dense_2 = None
+        x_23 = torch.nn.functional.batch_norm(
+            x_in_11,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_s_1 = torch.conv2d(
+            x_24,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_1 = None
+        x_25 = torch.nn.functional.batch_norm(
+            x_in_11,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_11 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_26 = torch.nn.functional.relu(x_25, inplace=True)
+        x_25 = None
+        x_in_12 = torch.conv2d(
+            x_26,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_27 = torch.nn.functional.batch_norm(
+            x_in_12,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_12 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.relu(x_27, inplace=True)
+        x_27 = None
+        x_in_13 = torch.conv2d(
+            x_28,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_28 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_in_13,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_13 = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_in_14 = torch.conv2d(
+            x_30,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_3 = x_in_14[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_3 = x_in_14[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_14 = None
+        resid_3 = x_s1_1 + out1_3
+        x_s1_1 = out1_3 = None
+        dense_3 = torch.cat([x_s2_1, out2_3], dim=1)
+        x_s2_1 = out2_3 = None
+        x_in_15 = torch.cat((resid_3, dense_3), dim=1)
+        x_31 = torch.nn.functional.batch_norm(
+            x_in_15,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_15 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_in_16 = torch.conv2d(
+            x_32,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_in_16,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_16 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_34 = torch.nn.functional.relu(x_33, inplace=True)
+        x_33 = None
+        x_in_17 = torch.conv2d(
+            x_34,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_34 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_in_17,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_17 = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        x_in_18 = torch.conv2d(
+            x_36,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_36 = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_4 = x_in_18[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_4 = x_in_18[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_18 = None
+        resid_4 = resid_3 + out1_4
+        resid_3 = out1_4 = None
+        dense_4 = torch.cat([dense_3, out2_4], dim=1)
+        dense_3 = out2_4 = None
+        x_in_19 = torch.cat((resid_4, dense_4), dim=1)
+        x_37 = torch.nn.functional.batch_norm(
+            x_in_19,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_19 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_in_20 = torch.conv2d(
+            x_38,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_in_20,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_20 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_40 = torch.nn.functional.relu(x_39, inplace=True)
+        x_39 = None
+        x_in_21 = torch.conv2d(
+            x_40,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_40 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_in_21,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_21 = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.relu(x_41, inplace=True)
+        x_41 = None
+        x_in_22 = torch.conv2d(
+            x_42,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_5 = x_in_22[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_5 = x_in_22[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_22 = None
+        resid_5 = resid_4 + out1_5
+        resid_4 = out1_5 = None
+        dense_5 = torch.cat([dense_4, out2_5], dim=1)
+        dense_4 = out2_5 = None
+        x_in_23 = torch.cat((resid_5, dense_5), dim=1)
+        x_43 = torch.nn.functional.batch_norm(
+            x_in_23,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_23 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_44 = torch.nn.functional.relu(x_43, inplace=True)
+        x_43 = None
+        x_in_24 = torch.conv2d(
+            x_44,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_44 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_in_24,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_24 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_in_25 = torch.conv2d(
+            x_46,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_46 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_in_25,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_25 = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_in_26 = torch.conv2d(
+            x_48,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_6 = x_in_26[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_6 = x_in_26[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_26 = None
+        resid_6 = resid_5 + out1_6
+        resid_5 = out1_6 = None
+        dense_6 = torch.cat([dense_5, out2_6], dim=1)
+        dense_5 = out2_6 = None
+        x_in_27 = torch.cat((resid_6, dense_6), dim=1)
+        resid_6 = dense_6 = None
+        x_49 = torch.nn.functional.batch_norm(
+            x_in_27,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_50 = torch.nn.functional.relu(x_49, inplace=True)
+        x_49 = None
+        x_s_2 = torch.conv2d(
+            x_50,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_50 = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_2 = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_in_27,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_27 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_in_28 = torch.conv2d(
+            x_52,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_in_28,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_28 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_54 = torch.nn.functional.relu(x_53, inplace=True)
+        x_53 = None
+        x_in_29 = torch.conv2d(
+            x_54,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_54 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_55 = torch.nn.functional.batch_norm(
+            x_in_29,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_29 = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.relu(x_55, inplace=True)
+        x_55 = None
+        x_in_30 = torch.conv2d(
+            x_56,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_7 = x_in_30[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_7 = x_in_30[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_30 = None
+        resid_7 = x_s1_2 + out1_7
+        x_s1_2 = out1_7 = None
+        dense_7 = torch.cat([x_s2_2, out2_7], dim=1)
+        x_s2_2 = out2_7 = None
+        x_in_31 = torch.cat((resid_7, dense_7), dim=1)
+        x_57 = torch.nn.functional.batch_norm(
+            x_in_31,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_31 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_58 = torch.nn.functional.relu(x_57, inplace=True)
+        x_57 = None
+        x_in_32 = torch.conv2d(
+            x_58,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_58 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_in_32,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_32 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_in_33 = torch.conv2d(
+            x_60,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_60 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_61 = torch.nn.functional.batch_norm(
+            x_in_33,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_33 = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.relu(x_61, inplace=True)
+        x_61 = None
+        x_in_34 = torch.conv2d(
+            x_62,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_8 = x_in_34[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_8 = x_in_34[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_34 = None
+        resid_8 = resid_7 + out1_8
+        resid_7 = out1_8 = None
+        dense_8 = torch.cat([dense_7, out2_8], dim=1)
+        dense_7 = out2_8 = None
+        x_in_35 = torch.cat((resid_8, dense_8), dim=1)
+        x_63 = torch.nn.functional.batch_norm(
+            x_in_35,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_35 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_64 = torch.nn.functional.relu(x_63, inplace=True)
+        x_63 = None
+        x_in_36 = torch.conv2d(
+            x_64,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_65 = torch.nn.functional.batch_norm(
+            x_in_36,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_36 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.relu(x_65, inplace=True)
+        x_65 = None
+        x_in_37 = torch.conv2d(
+            x_66,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_66 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_in_37,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_37 = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_in_38 = torch.conv2d(
+            x_68,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_68 = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_9 = x_in_38[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_9 = x_in_38[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_38 = None
+        resid_9 = resid_8 + out1_9
+        resid_8 = out1_9 = None
+        dense_9 = torch.cat([dense_8, out2_9], dim=1)
+        dense_8 = out2_9 = None
+        x_in_39 = torch.cat((resid_9, dense_9), dim=1)
+        x_69 = torch.nn.functional.batch_norm(
+            x_in_39,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_39 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.nn.functional.relu(x_69, inplace=True)
+        x_69 = None
+        x_in_40 = torch.conv2d(
+            x_70,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_in_40,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_40 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_in_41 = torch.conv2d(
+            x_72,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_72 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_in_41,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_41 = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_in_42 = torch.conv2d(
+            x_74,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_10 = x_in_42[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_10 = x_in_42[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_42 = None
+        resid_10 = resid_9 + out1_10
+        resid_9 = out1_10 = None
+        dense_10 = torch.cat([dense_9, out2_10], dim=1)
+        dense_9 = out2_10 = None
+        x_in_43 = torch.cat((resid_10, dense_10), dim=1)
+        x_75 = torch.nn.functional.batch_norm(
+            x_in_43,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_43 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.nn.functional.relu(x_75, inplace=True)
+        x_75 = None
+        x_in_44 = torch.conv2d(
+            x_76,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_76 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_in_44,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_44 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_in_45 = torch.conv2d(
+            x_78,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_78 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_79 = torch.nn.functional.batch_norm(
+            x_in_45,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_45 = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.relu(x_79, inplace=True)
+        x_79 = None
+        x_in_46 = torch.conv2d(
+            x_80,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_11 = x_in_46[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_11 = x_in_46[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_46 = None
+        resid_11 = resid_10 + out1_11
+        resid_10 = out1_11 = None
+        dense_11 = torch.cat([dense_10, out2_11], dim=1)
+        dense_10 = out2_11 = None
+        x_in_47 = torch.cat((resid_11, dense_11), dim=1)
+        x_81 = torch.nn.functional.batch_norm(
+            x_in_47,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_47 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_in_48 = torch.conv2d(
+            x_82,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_in_48,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_48 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.relu(x_83, inplace=True)
+        x_83 = None
+        x_in_49 = torch.conv2d(
+            x_84,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_84 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_in_49,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_49 = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_86 = torch.nn.functional.relu(x_85, inplace=True)
+        x_85 = None
+        x_in_50 = torch.conv2d(
+            x_86,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_12 = x_in_50[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_12 = x_in_50[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_50 = None
+        resid_12 = resid_11 + out1_12
+        resid_11 = out1_12 = None
+        dense_12 = torch.cat([dense_11, out2_12], dim=1)
+        dense_11 = out2_12 = None
+        x_in_51 = torch.cat((resid_12, dense_12), dim=1)
+        x_87 = torch.nn.functional.batch_norm(
+            x_in_51,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_51 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=True)
+        x_87 = None
+        x_in_52 = torch.conv2d(
+            x_88,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_88 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_89 = torch.nn.functional.batch_norm(
+            x_in_52,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_52 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_in_53 = torch.conv2d(
+            x_90,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_90 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_in_53,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_53 = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        x_in_54 = torch.conv2d(
+            x_92,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_13 = x_in_54[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_13 = x_in_54[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_54 = None
+        resid_13 = resid_12 + out1_13
+        resid_12 = out1_13 = None
+        dense_13 = torch.cat([dense_12, out2_13], dim=1)
+        dense_12 = out2_13 = None
+        x_in_55 = torch.cat((resid_13, dense_13), dim=1)
+        x_93 = torch.nn.functional.batch_norm(
+            x_in_55,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_55 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=True)
+        x_93 = None
+        x_in_56 = torch.conv2d(
+            x_94,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_94 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_95 = torch.nn.functional.batch_norm(
+            x_in_56,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_56 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_in_57 = torch.conv2d(
+            x_96,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_96 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_97 = torch.nn.functional.batch_norm(
+            x_in_57,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_57 = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.relu(x_97, inplace=True)
+        x_97 = None
+        x_in_58 = torch.conv2d(
+            x_98,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_14 = x_in_58[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_14 = x_in_58[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_58 = None
+        resid_14 = resid_13 + out1_14
+        resid_13 = out1_14 = None
+        dense_14 = torch.cat([dense_13, out2_14], dim=1)
+        dense_13 = out2_14 = None
+        x_in_59 = torch.cat((resid_14, dense_14), dim=1)
+        x_99 = torch.nn.functional.batch_norm(
+            x_in_59,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_59 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_100 = torch.nn.functional.relu(x_99, inplace=True)
+        x_99 = None
+        x_in_60 = torch.conv2d(
+            x_100,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_in_60,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_60 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_102 = torch.nn.functional.relu(x_101, inplace=True)
+        x_101 = None
+        x_in_61 = torch.conv2d(
+            x_102,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_102 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_103 = torch.nn.functional.batch_norm(
+            x_in_61,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_61 = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_in_62 = torch.conv2d(
+            x_104,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_15 = x_in_62[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_15 = x_in_62[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_62 = None
+        resid_15 = resid_14 + out1_15
+        resid_14 = out1_15 = None
+        dense_15 = torch.cat([dense_14, out2_15], dim=1)
+        dense_14 = out2_15 = None
+        x_in_63 = torch.cat((resid_15, dense_15), dim=1)
+        x_105 = torch.nn.functional.batch_norm(
+            x_in_63,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_63 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_106 = torch.nn.functional.relu(x_105, inplace=True)
+        x_105 = None
+        x_in_64 = torch.conv2d(
+            x_106,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_107 = torch.nn.functional.batch_norm(
+            x_in_64,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_64 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.relu(x_107, inplace=True)
+        x_107 = None
+        x_in_65 = torch.conv2d(
+            x_108,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_108 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_109 = torch.nn.functional.batch_norm(
+            x_in_65,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_65 = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_110 = torch.nn.functional.relu(x_109, inplace=True)
+        x_109 = None
+        x_in_66 = torch.conv2d(
+            x_110,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_110 = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_16 = x_in_66[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_16 = x_in_66[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_66 = None
+        resid_16 = resid_15 + out1_16
+        resid_15 = out1_16 = None
+        dense_16 = torch.cat([dense_15, out2_16], dim=1)
+        dense_15 = out2_16 = None
+        x_in_67 = torch.cat((resid_16, dense_16), dim=1)
+        x_111 = torch.nn.functional.batch_norm(
+            x_in_67,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_67 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_in_68 = torch.conv2d(
+            x_112,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_113 = torch.nn.functional.batch_norm(
+            x_in_68,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_68 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_114 = torch.nn.functional.relu(x_113, inplace=True)
+        x_113 = None
+        x_in_69 = torch.conv2d(
+            x_114,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_114 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_115 = torch.nn.functional.batch_norm(
+            x_in_69,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_69 = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_116 = torch.nn.functional.relu(x_115, inplace=True)
+        x_115 = None
+        x_in_70 = torch.conv2d(
+            x_116,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_116 = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_17 = x_in_70[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_17 = x_in_70[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_70 = None
+        resid_17 = resid_16 + out1_17
+        resid_16 = out1_17 = None
+        dense_17 = torch.cat([dense_16, out2_17], dim=1)
+        dense_16 = out2_17 = None
+        x_in_71 = torch.cat((resid_17, dense_17), dim=1)
+        x_117 = torch.nn.functional.batch_norm(
+            x_in_71,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_71 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_in_72 = torch.conv2d(
+            x_118,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_119 = torch.nn.functional.batch_norm(
+            x_in_72,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_72 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_120 = torch.nn.functional.relu(x_119, inplace=True)
+        x_119 = None
+        x_in_73 = torch.conv2d(
+            x_120,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_120 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_121 = torch.nn.functional.batch_norm(
+            x_in_73,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_73 = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.relu(x_121, inplace=True)
+        x_121 = None
+        x_in_74 = torch.conv2d(
+            x_122,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_18 = x_in_74[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_18 = x_in_74[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_74 = None
+        resid_18 = resid_17 + out1_18
+        resid_17 = out1_18 = None
+        dense_18 = torch.cat([dense_17, out2_18], dim=1)
+        dense_17 = out2_18 = None
+        x_in_75 = torch.cat((resid_18, dense_18), dim=1)
+        x_123 = torch.nn.functional.batch_norm(
+            x_in_75,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_75 = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.relu(x_123, inplace=True)
+        x_123 = None
+        x_in_76 = torch.conv2d(
+            x_124,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_125 = torch.nn.functional.batch_norm(
+            x_in_76,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_76 = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_in_77 = torch.conv2d(
+            x_126,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_126 = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_127 = torch.nn.functional.batch_norm(
+            x_in_77,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_77 = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_128 = torch.nn.functional.relu(x_127, inplace=True)
+        x_127 = None
+        x_in_78 = torch.conv2d(
+            x_128,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_128 = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_19 = x_in_78[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_19 = x_in_78[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_78 = None
+        resid_19 = resid_18 + out1_19
+        resid_18 = out1_19 = None
+        dense_19 = torch.cat([dense_18, out2_19], dim=1)
+        dense_18 = out2_19 = None
+        x_in_79 = torch.cat((resid_19, dense_19), dim=1)
+        x_129 = torch.nn.functional.batch_norm(
+            x_in_79,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_79 = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_130 = torch.nn.functional.relu(x_129, inplace=True)
+        x_129 = None
+        x_in_80 = torch.conv2d(
+            x_130,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_131 = torch.nn.functional.batch_norm(
+            x_in_80,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_80 = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_132 = torch.nn.functional.relu(x_131, inplace=True)
+        x_131 = None
+        x_in_81 = torch.conv2d(
+            x_132,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_132 = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_133 = torch.nn.functional.batch_norm(
+            x_in_81,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_81 = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_in_82 = torch.conv2d(
+            x_134,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_20 = x_in_82[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_20 = x_in_82[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_82 = None
+        resid_20 = resid_19 + out1_20
+        resid_19 = out1_20 = None
+        dense_20 = torch.cat([dense_19, out2_20], dim=1)
+        dense_19 = out2_20 = None
+        x_in_83 = torch.cat((resid_20, dense_20), dim=1)
+        x_135 = torch.nn.functional.batch_norm(
+            x_in_83,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_83 = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.relu(x_135, inplace=True)
+        x_135 = None
+        x_in_84 = torch.conv2d(
+            x_136,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_136 = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_137 = torch.nn.functional.batch_norm(
+            x_in_84,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_84 = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_138 = torch.nn.functional.relu(x_137, inplace=True)
+        x_137 = None
+        x_in_85 = torch.conv2d(
+            x_138,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_138 = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_139 = torch.nn.functional.batch_norm(
+            x_in_85,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_85 = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_in_86 = torch.conv2d(
+            x_140,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_21 = x_in_86[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_21 = x_in_86[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_86 = None
+        resid_21 = resid_20 + out1_21
+        resid_20 = out1_21 = None
+        dense_21 = torch.cat([dense_20, out2_21], dim=1)
+        dense_20 = out2_21 = None
+        x_in_87 = torch.cat((resid_21, dense_21), dim=1)
+        x_141 = torch.nn.functional.batch_norm(
+            x_in_87,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_87 = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_142 = torch.nn.functional.relu(x_141, inplace=True)
+        x_141 = None
+        x_in_88 = torch.conv2d(
+            x_142,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_142 = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_143 = torch.nn.functional.batch_norm(
+            x_in_88,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_88 = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_144 = torch.nn.functional.relu(x_143, inplace=True)
+        x_143 = None
+        x_in_89 = torch.conv2d(
+            x_144,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_144 = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_145 = torch.nn.functional.batch_norm(
+            x_in_89,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_89 = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_146 = torch.nn.functional.relu(x_145, inplace=True)
+        x_145 = None
+        x_in_90 = torch.conv2d(
+            x_146,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_146 = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_22 = x_in_90[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_22 = x_in_90[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_90 = None
+        resid_22 = resid_21 + out1_22
+        resid_21 = out1_22 = None
+        dense_22 = torch.cat([dense_21, out2_22], dim=1)
+        dense_21 = out2_22 = None
+        x_in_91 = torch.cat((resid_22, dense_22), dim=1)
+        x_147 = torch.nn.functional.batch_norm(
+            x_in_91,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_91 = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_in_92 = torch.conv2d(
+            x_148,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_149 = torch.nn.functional.batch_norm(
+            x_in_92,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_92 = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.relu(x_149, inplace=True)
+        x_149 = None
+        x_in_93 = torch.conv2d(
+            x_150,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_150 = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_151 = torch.nn.functional.batch_norm(
+            x_in_93,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_93 = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_152 = torch.nn.functional.relu(x_151, inplace=True)
+        x_151 = None
+        x_in_94 = torch.conv2d(
+            x_152,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_152 = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_23 = x_in_94[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_23 = x_in_94[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_94 = None
+        resid_23 = resid_22 + out1_23
+        resid_22 = out1_23 = None
+        dense_23 = torch.cat([dense_22, out2_23], dim=1)
+        dense_22 = out2_23 = None
+        x_in_95 = torch.cat((resid_23, dense_23), dim=1)
+        x_153 = torch.nn.functional.batch_norm(
+            x_in_95,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_95 = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_154 = torch.nn.functional.relu(x_153, inplace=True)
+        x_153 = None
+        x_in_96 = torch.conv2d(
+            x_154,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_154 = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_155 = torch.nn.functional.batch_norm(
+            x_in_96,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_96 = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_in_97 = torch.conv2d(
+            x_156,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_156 = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_157 = torch.nn.functional.batch_norm(
+            x_in_97,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_97 = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_158 = torch.nn.functional.relu(x_157, inplace=True)
+        x_157 = None
+        x_in_98 = torch.conv2d(
+            x_158,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_24 = x_in_98[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_24 = x_in_98[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_98 = None
+        resid_24 = resid_23 + out1_24
+        resid_23 = out1_24 = None
+        dense_24 = torch.cat([dense_23, out2_24], dim=1)
+        dense_23 = out2_24 = None
+        x_in_99 = torch.cat((resid_24, dense_24), dim=1)
+        x_159 = torch.nn.functional.batch_norm(
+            x_in_99,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_99 = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_160 = torch.nn.functional.relu(x_159, inplace=True)
+        x_159 = None
+        x_in_100 = torch.conv2d(
+            x_160,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_160 = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_161 = torch.nn.functional.batch_norm(
+            x_in_100,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_100 = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_in_101 = torch.conv2d(
+            x_162,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_162 = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_163 = torch.nn.functional.batch_norm(
+            x_in_101,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_101 = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_164 = torch.nn.functional.relu(x_163, inplace=True)
+        x_163 = None
+        x_in_102 = torch.conv2d(
+            x_164,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_164 = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_25 = x_in_102[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_25 = x_in_102[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_102 = None
+        resid_25 = resid_24 + out1_25
+        resid_24 = out1_25 = None
+        dense_25 = torch.cat([dense_24, out2_25], dim=1)
+        dense_24 = out2_25 = None
+        x_in_103 = torch.cat((resid_25, dense_25), dim=1)
+        x_165 = torch.nn.functional.batch_norm(
+            x_in_103,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_103 = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_166 = torch.nn.functional.relu(x_165, inplace=True)
+        x_165 = None
+        x_in_104 = torch.conv2d(
+            x_166,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_166 = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_167 = torch.nn.functional.batch_norm(
+            x_in_104,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_104 = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_168 = torch.nn.functional.relu(x_167, inplace=True)
+        x_167 = None
+        x_in_105 = torch.conv2d(
+            x_168,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_168 = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_169 = torch.nn.functional.batch_norm(
+            x_in_105,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_105 = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_170 = torch.nn.functional.relu(x_169, inplace=True)
+        x_169 = None
+        x_in_106 = torch.conv2d(
+            x_170,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_170 = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_26 = x_in_106[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_26 = x_in_106[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_106 = None
+        resid_26 = resid_25 + out1_26
+        resid_25 = out1_26 = None
+        dense_26 = torch.cat([dense_25, out2_26], dim=1)
+        dense_25 = out2_26 = None
+        x_in_107 = torch.cat((resid_26, dense_26), dim=1)
+        resid_26 = dense_26 = None
+        x_171 = torch.nn.functional.batch_norm(
+            x_in_107,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_172 = torch.nn.functional.relu(x_171, inplace=True)
+        x_171 = None
+        x_s_3 = torch.conv2d(
+            x_172,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_172 = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_3 = None
+        x_173 = torch.nn.functional.batch_norm(
+            x_in_107,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_107 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_174 = torch.nn.functional.relu(x_173, inplace=True)
+        x_173 = None
+        x_in_108 = torch.conv2d(
+            x_174,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_174 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_175 = torch.nn.functional.batch_norm(
+            x_in_108,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_108 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_176 = torch.nn.functional.relu(x_175, inplace=True)
+        x_175 = None
+        x_in_109 = torch.conv2d(
+            x_176,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_176 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_177 = torch.nn.functional.batch_norm(
+            x_in_109,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_109 = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_178 = torch.nn.functional.relu(x_177, inplace=True)
+        x_177 = None
+        x_in_110 = torch.conv2d(
+            x_178,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_178 = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_27 = x_in_110[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_27 = x_in_110[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_110 = None
+        resid_27 = x_s1_3 + out1_27
+        x_s1_3 = out1_27 = None
+        dense_27 = torch.cat([x_s2_3, out2_27], dim=1)
+        x_s2_3 = out2_27 = None
+        x_in_111 = torch.cat((resid_27, dense_27), dim=1)
+        x_179 = torch.nn.functional.batch_norm(
+            x_in_111,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_111 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_180 = torch.nn.functional.relu(x_179, inplace=True)
+        x_179 = None
+        x_in_112 = torch.conv2d(
+            x_180,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_180 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_181 = torch.nn.functional.batch_norm(
+            x_in_112,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_112 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_182 = torch.nn.functional.relu(x_181, inplace=True)
+        x_181 = None
+        x_in_113 = torch.conv2d(
+            x_182,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_182 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_183 = torch.nn.functional.batch_norm(
+            x_in_113,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_113 = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_184 = torch.nn.functional.relu(x_183, inplace=True)
+        x_183 = None
+        x_in_114 = torch.conv2d(
+            x_184,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_184 = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_28 = x_in_114[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_28 = x_in_114[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_114 = None
+        resid_28 = resid_27 + out1_28
+        resid_27 = out1_28 = None
+        dense_28 = torch.cat([dense_27, out2_28], dim=1)
+        dense_27 = out2_28 = None
+        x_in_115 = torch.cat((resid_28, dense_28), dim=1)
+        x_185 = torch.nn.functional.batch_norm(
+            x_in_115,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_115 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_186 = torch.nn.functional.relu(x_185, inplace=True)
+        x_185 = None
+        x_in_116 = torch.conv2d(
+            x_186,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_186 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_187 = torch.nn.functional.batch_norm(
+            x_in_116,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_116 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_188 = torch.nn.functional.relu(x_187, inplace=True)
+        x_187 = None
+        x_in_117 = torch.conv2d(
+            x_188,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_188 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_189 = torch.nn.functional.batch_norm(
+            x_in_117,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_117 = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_190 = torch.nn.functional.relu(x_189, inplace=True)
+        x_189 = None
+        x_in_118 = torch.conv2d(
+            x_190,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_190 = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_29 = x_in_118[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_29 = x_in_118[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_118 = None
+        resid_29 = resid_28 + out1_29
+        resid_28 = out1_29 = None
+        dense_29 = torch.cat([dense_28, out2_29], dim=1)
+        dense_28 = out2_29 = None
+        x_191 = torch.cat((resid_29, dense_29), dim=1)
+        resid_29 = dense_29 = None
+        x_192 = torch.nn.functional.batch_norm(
+            x_191,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_191 = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        ) = None
+        x_193 = torch.nn.functional.relu(x_192, inplace=False)
+        x_192 = None
+        x_194 = torch.nn.functional.adaptive_avg_pool2d(x_193, 1)
+        x_193 = None
+        x_195 = torch.conv2d(
+            x_194,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_194 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        x_196 = x_195.flatten(1, -1)
+        x_195 = None
+        return (x_196,)
diff --git a/samples/timm/dpn92.mx_in1k/weight_meta.py b/samples/timm/dpn92.mx_in1k/weight_meta.py
new file mode 100644
index 000000000..712d9a7b4
--- /dev/null
+++ b/samples/timm/dpn92.mx_in1k/weight_meta.py
@@ -0,0 +1,4830 @@
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_"
+    shape = [64, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.223
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_"
+    shape = [288, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [96, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [96, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [272, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [96, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [96, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [272, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [96, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [96, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [272, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [576, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [192, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [192, 6, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [192, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [192, 6, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [192, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [192, 6, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [192, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [192, 6, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [1072, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1312, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1432, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1456]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1456]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1456]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1456]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1456, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1504, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [384, 1528, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [384, 12, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1048, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [1552]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [1552]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [1552]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [1552]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [2304, 1552, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1552]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1552]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1552]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1552]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [768, 1552, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [768, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [768, 2432, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [768, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [768, 2560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [768, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_:
+    name = (
+        "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_"
+    )
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 2688, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.011
+    data = None
diff --git a/samples/timm/dpn98.mx_in1k/graph_hash.txt b/samples/timm/dpn98.mx_in1k/graph_hash.txt
new file mode 100644
index 000000000..138af59fb
--- /dev/null
+++ b/samples/timm/dpn98.mx_in1k/graph_hash.txt
@@ -0,0 +1 @@
+c660aecfd0402fbc933a064c7afa9abe8439a07398bdf6c67a6416a966bbf425
\ No newline at end of file
diff --git a/samples/timm/dpn98.mx_in1k/graph_net.json b/samples/timm/dpn98.mx_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/dpn98.mx_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/dpn98.mx_in1k/input_meta.py b/samples/timm/dpn98.mx_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn98.mx_in1k/input_tensor_constraints.py b/samples/timm/dpn98.mx_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/dpn98.mx_in1k/model.py b/samples/timm/dpn98.mx_in1k/model.py
new file mode 100644
index 000000000..b8bf295be
--- /dev/null
+++ b/samples/timm/dpn98.mx_in1k/model.py
@@ -0,0 +1,4203 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_
+        l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_ = L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        )
+        l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_ = (
+            L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_
+        ) = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_
+        ) = l_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        input_1 = torch.nn.functional.max_pool2d(
+            x_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_2 = None
+        x_3 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_ = (None)
+        x_4 = torch.nn.functional.relu(x_3, inplace=True)
+        x_3 = None
+        x_s = torch.conv2d(
+            x_4,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_4 = l_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_ = (None)
+        x_s1 = x_s[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2 = x_s[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s = None
+        x_5 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        input_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_6 = torch.nn.functional.relu(x_5, inplace=True)
+        x_5 = None
+        x_in = torch.conv2d(
+            x_6,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_in,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_in_1 = torch.conv2d(
+            x_8,
+            l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_8 = l_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_in_1,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_1 = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_in_2 = torch.conv2d(
+            x_10,
+            l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = l_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1 = x_in_2[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2 = x_in_2[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_2 = None
+        resid = x_s1 + out1
+        x_s1 = out1 = None
+        dense = torch.cat([x_s2, out2], dim=1)
+        x_s2 = out2 = None
+        x_in_3 = torch.cat((resid, dense), dim=1)
+        x_11 = torch.nn.functional.batch_norm(
+            x_in_3,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_3 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_12 = torch.nn.functional.relu(x_11, inplace=True)
+        x_11 = None
+        x_in_4 = torch.conv2d(
+            x_12,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = l_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_in_4,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_4 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        x_in_5 = torch.conv2d(
+            x_14,
+            l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_14 = l_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_in_5,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_5 = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_in_6 = torch.conv2d(
+            x_16,
+            l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_1 = x_in_6[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_1 = x_in_6[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_6 = None
+        resid_1 = resid + out1_1
+        resid = out1_1 = None
+        dense_1 = torch.cat([dense, out2_1], dim=1)
+        dense = out2_1 = None
+        x_in_7 = torch.cat((resid_1, dense_1), dim=1)
+        x_17 = torch.nn.functional.batch_norm(
+            x_in_7,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_7 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_18 = torch.nn.functional.relu(x_17, inplace=True)
+        x_17 = None
+        x_in_8 = torch.conv2d(
+            x_18,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_18 = l_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_in_8,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_8 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_in_9 = torch.conv2d(
+            x_20,
+            l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_20 = l_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_21 = torch.nn.functional.batch_norm(
+            x_in_9,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_9 = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_22 = torch.nn.functional.relu(x_21, inplace=True)
+        x_21 = None
+        x_in_10 = torch.conv2d(
+            x_22,
+            l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_2 = x_in_10[
+            (
+                slice(None, None, None),
+                slice(None, 256, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_2 = x_in_10[
+            (
+                slice(None, None, None),
+                slice(256, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_10 = None
+        resid_2 = resid_1 + out1_2
+        resid_1 = out1_2 = None
+        dense_2 = torch.cat([dense_1, out2_2], dim=1)
+        dense_1 = out2_2 = None
+        x_in_11 = torch.cat((resid_2, dense_2), dim=1)
+        resid_2 = dense_2 = None
+        x_23 = torch.nn.functional.batch_norm(
+            x_in_11,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_s_1 = torch.conv2d(
+            x_24,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_1 = x_s_1[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_1 = None
+        x_25 = torch.nn.functional.batch_norm(
+            x_in_11,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_11 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_26 = torch.nn.functional.relu(x_25, inplace=True)
+        x_25 = None
+        x_in_12 = torch.conv2d(
+            x_26,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_27 = torch.nn.functional.batch_norm(
+            x_in_12,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_12 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.relu(x_27, inplace=True)
+        x_27 = None
+        x_in_13 = torch.conv2d(
+            x_28,
+            l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_28 = l_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_in_13,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_13 = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_in_14 = torch.conv2d(
+            x_30,
+            l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_3 = x_in_14[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_3 = x_in_14[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_14 = None
+        resid_3 = x_s1_1 + out1_3
+        x_s1_1 = out1_3 = None
+        dense_3 = torch.cat([x_s2_1, out2_3], dim=1)
+        x_s2_1 = out2_3 = None
+        x_in_15 = torch.cat((resid_3, dense_3), dim=1)
+        x_31 = torch.nn.functional.batch_norm(
+            x_in_15,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_15 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_in_16 = torch.conv2d(
+            x_32,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_in_16,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_16 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_34 = torch.nn.functional.relu(x_33, inplace=True)
+        x_33 = None
+        x_in_17 = torch.conv2d(
+            x_34,
+            l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_34 = l_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_in_17,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_17 = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        x_in_18 = torch.conv2d(
+            x_36,
+            l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_36 = l_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_4 = x_in_18[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_4 = x_in_18[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_18 = None
+        resid_4 = resid_3 + out1_4
+        resid_3 = out1_4 = None
+        dense_4 = torch.cat([dense_3, out2_4], dim=1)
+        dense_3 = out2_4 = None
+        x_in_19 = torch.cat((resid_4, dense_4), dim=1)
+        x_37 = torch.nn.functional.batch_norm(
+            x_in_19,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_19 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_in_20 = torch.conv2d(
+            x_38,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_in_20,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_20 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_40 = torch.nn.functional.relu(x_39, inplace=True)
+        x_39 = None
+        x_in_21 = torch.conv2d(
+            x_40,
+            l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_40 = l_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_in_21,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_21 = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.relu(x_41, inplace=True)
+        x_41 = None
+        x_in_22 = torch.conv2d(
+            x_42,
+            l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_5 = x_in_22[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_5 = x_in_22[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_22 = None
+        resid_5 = resid_4 + out1_5
+        resid_4 = out1_5 = None
+        dense_5 = torch.cat([dense_4, out2_5], dim=1)
+        dense_4 = out2_5 = None
+        x_in_23 = torch.cat((resid_5, dense_5), dim=1)
+        x_43 = torch.nn.functional.batch_norm(
+            x_in_23,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_23 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_44 = torch.nn.functional.relu(x_43, inplace=True)
+        x_43 = None
+        x_in_24 = torch.conv2d(
+            x_44,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_44 = l_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_in_24,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_24 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_in_25 = torch.conv2d(
+            x_46,
+            l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_46 = l_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_in_25,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_25 = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_in_26 = torch.conv2d(
+            x_48,
+            l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = l_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_6 = x_in_26[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_6 = x_in_26[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_26 = None
+        resid_6 = resid_5 + out1_6
+        resid_5 = out1_6 = None
+        dense_6 = torch.cat([dense_5, out2_6], dim=1)
+        dense_5 = out2_6 = None
+        x_in_27 = torch.cat((resid_6, dense_6), dim=1)
+        x_49 = torch.nn.functional.batch_norm(
+            x_in_27,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_27 = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_50 = torch.nn.functional.relu(x_49, inplace=True)
+        x_49 = None
+        x_in_28 = torch.conv2d(
+            x_50,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_50 = l_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_51 = torch.nn.functional.batch_norm(
+            x_in_28,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_28 = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_in_29 = torch.conv2d(
+            x_52,
+            l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_52 = l_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_in_29,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_29 = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_54 = torch.nn.functional.relu(x_53, inplace=True)
+        x_53 = None
+        x_in_30 = torch.conv2d(
+            x_54,
+            l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_54 = l_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_7 = x_in_30[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_7 = x_in_30[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_30 = None
+        resid_7 = resid_6 + out1_7
+        resid_6 = out1_7 = None
+        dense_7 = torch.cat([dense_6, out2_7], dim=1)
+        dense_6 = out2_7 = None
+        x_in_31 = torch.cat((resid_7, dense_7), dim=1)
+        x_55 = torch.nn.functional.batch_norm(
+            x_in_31,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_31 = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.relu(x_55, inplace=True)
+        x_55 = None
+        x_in_32 = torch.conv2d(
+            x_56,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_in_32,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_32 = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_58 = torch.nn.functional.relu(x_57, inplace=True)
+        x_57 = None
+        x_in_33 = torch.conv2d(
+            x_58,
+            l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_58 = l_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_in_33,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_33 = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_in_34 = torch.conv2d(
+            x_60,
+            l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_8 = x_in_34[
+            (
+                slice(None, None, None),
+                slice(None, 512, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_8 = x_in_34[
+            (
+                slice(None, None, None),
+                slice(512, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_34 = None
+        resid_8 = resid_7 + out1_8
+        resid_7 = out1_8 = None
+        dense_8 = torch.cat([dense_7, out2_8], dim=1)
+        dense_7 = out2_8 = None
+        x_in_35 = torch.cat((resid_8, dense_8), dim=1)
+        resid_8 = dense_8 = None
+        x_61 = torch.nn.functional.batch_norm(
+            x_in_35,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.relu(x_61, inplace=True)
+        x_61 = None
+        x_s_2 = torch.conv2d(
+            x_62,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = l_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_2 = x_s_2[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_2 = None
+        x_63 = torch.nn.functional.batch_norm(
+            x_in_35,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_35 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_64 = torch.nn.functional.relu(x_63, inplace=True)
+        x_63 = None
+        x_in_36 = torch.conv2d(
+            x_64,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_65 = torch.nn.functional.batch_norm(
+            x_in_36,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_36 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.relu(x_65, inplace=True)
+        x_65 = None
+        x_in_37 = torch.conv2d(
+            x_66,
+            l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_66 = l_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_in_37,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_37 = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_in_38 = torch.conv2d(
+            x_68,
+            l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_68 = l_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_9 = x_in_38[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_9 = x_in_38[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_38 = None
+        resid_9 = x_s1_2 + out1_9
+        x_s1_2 = out1_9 = None
+        dense_9 = torch.cat([x_s2_2, out2_9], dim=1)
+        x_s2_2 = out2_9 = None
+        x_in_39 = torch.cat((resid_9, dense_9), dim=1)
+        x_69 = torch.nn.functional.batch_norm(
+            x_in_39,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_39 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.nn.functional.relu(x_69, inplace=True)
+        x_69 = None
+        x_in_40 = torch.conv2d(
+            x_70,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_in_40,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_40 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_in_41 = torch.conv2d(
+            x_72,
+            l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_72 = l_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_in_41,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_41 = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_in_42 = torch.conv2d(
+            x_74,
+            l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_10 = x_in_42[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_10 = x_in_42[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_42 = None
+        resid_10 = resid_9 + out1_10
+        resid_9 = out1_10 = None
+        dense_10 = torch.cat([dense_9, out2_10], dim=1)
+        dense_9 = out2_10 = None
+        x_in_43 = torch.cat((resid_10, dense_10), dim=1)
+        x_75 = torch.nn.functional.batch_norm(
+            x_in_43,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_43 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.nn.functional.relu(x_75, inplace=True)
+        x_75 = None
+        x_in_44 = torch.conv2d(
+            x_76,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_76 = l_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_in_44,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_44 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_in_45 = torch.conv2d(
+            x_78,
+            l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_78 = l_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_79 = torch.nn.functional.batch_norm(
+            x_in_45,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_45 = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.relu(x_79, inplace=True)
+        x_79 = None
+        x_in_46 = torch.conv2d(
+            x_80,
+            l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_11 = x_in_46[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_11 = x_in_46[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_46 = None
+        resid_11 = resid_10 + out1_11
+        resid_10 = out1_11 = None
+        dense_11 = torch.cat([dense_10, out2_11], dim=1)
+        dense_10 = out2_11 = None
+        x_in_47 = torch.cat((resid_11, dense_11), dim=1)
+        x_81 = torch.nn.functional.batch_norm(
+            x_in_47,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_47 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_in_48 = torch.conv2d(
+            x_82,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_in_48,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_48 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.relu(x_83, inplace=True)
+        x_83 = None
+        x_in_49 = torch.conv2d(
+            x_84,
+            l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_84 = l_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_in_49,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_49 = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_86 = torch.nn.functional.relu(x_85, inplace=True)
+        x_85 = None
+        x_in_50 = torch.conv2d(
+            x_86,
+            l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_12 = x_in_50[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_12 = x_in_50[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_50 = None
+        resid_12 = resid_11 + out1_12
+        resid_11 = out1_12 = None
+        dense_12 = torch.cat([dense_11, out2_12], dim=1)
+        dense_11 = out2_12 = None
+        x_in_51 = torch.cat((resid_12, dense_12), dim=1)
+        x_87 = torch.nn.functional.batch_norm(
+            x_in_51,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_51 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=True)
+        x_87 = None
+        x_in_52 = torch.conv2d(
+            x_88,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_88 = l_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_89 = torch.nn.functional.batch_norm(
+            x_in_52,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_52 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_in_53 = torch.conv2d(
+            x_90,
+            l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_90 = l_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_in_53,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_53 = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        x_in_54 = torch.conv2d(
+            x_92,
+            l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_13 = x_in_54[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_13 = x_in_54[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_54 = None
+        resid_13 = resid_12 + out1_13
+        resid_12 = out1_13 = None
+        dense_13 = torch.cat([dense_12, out2_13], dim=1)
+        dense_12 = out2_13 = None
+        x_in_55 = torch.cat((resid_13, dense_13), dim=1)
+        x_93 = torch.nn.functional.batch_norm(
+            x_in_55,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_55 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=True)
+        x_93 = None
+        x_in_56 = torch.conv2d(
+            x_94,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_94 = l_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_95 = torch.nn.functional.batch_norm(
+            x_in_56,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_56 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_in_57 = torch.conv2d(
+            x_96,
+            l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_96 = l_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_97 = torch.nn.functional.batch_norm(
+            x_in_57,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_57 = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.relu(x_97, inplace=True)
+        x_97 = None
+        x_in_58 = torch.conv2d(
+            x_98,
+            l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = l_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_14 = x_in_58[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_14 = x_in_58[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_58 = None
+        resid_14 = resid_13 + out1_14
+        resid_13 = out1_14 = None
+        dense_14 = torch.cat([dense_13, out2_14], dim=1)
+        dense_13 = out2_14 = None
+        x_in_59 = torch.cat((resid_14, dense_14), dim=1)
+        x_99 = torch.nn.functional.batch_norm(
+            x_in_59,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_59 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_100 = torch.nn.functional.relu(x_99, inplace=True)
+        x_99 = None
+        x_in_60 = torch.conv2d(
+            x_100,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_in_60,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_60 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_102 = torch.nn.functional.relu(x_101, inplace=True)
+        x_101 = None
+        x_in_61 = torch.conv2d(
+            x_102,
+            l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_102 = l_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_103 = torch.nn.functional.batch_norm(
+            x_in_61,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_61 = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_in_62 = torch.conv2d(
+            x_104,
+            l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_15 = x_in_62[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_15 = x_in_62[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_62 = None
+        resid_15 = resid_14 + out1_15
+        resid_14 = out1_15 = None
+        dense_15 = torch.cat([dense_14, out2_15], dim=1)
+        dense_14 = out2_15 = None
+        x_in_63 = torch.cat((resid_15, dense_15), dim=1)
+        x_105 = torch.nn.functional.batch_norm(
+            x_in_63,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_63 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_106 = torch.nn.functional.relu(x_105, inplace=True)
+        x_105 = None
+        x_in_64 = torch.conv2d(
+            x_106,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_107 = torch.nn.functional.batch_norm(
+            x_in_64,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_64 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.relu(x_107, inplace=True)
+        x_107 = None
+        x_in_65 = torch.conv2d(
+            x_108,
+            l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_108 = l_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_109 = torch.nn.functional.batch_norm(
+            x_in_65,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_65 = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_110 = torch.nn.functional.relu(x_109, inplace=True)
+        x_109 = None
+        x_in_66 = torch.conv2d(
+            x_110,
+            l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_110 = l_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_16 = x_in_66[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_16 = x_in_66[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_66 = None
+        resid_16 = resid_15 + out1_16
+        resid_15 = out1_16 = None
+        dense_16 = torch.cat([dense_15, out2_16], dim=1)
+        dense_15 = out2_16 = None
+        x_in_67 = torch.cat((resid_16, dense_16), dim=1)
+        x_111 = torch.nn.functional.batch_norm(
+            x_in_67,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_67 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_in_68 = torch.conv2d(
+            x_112,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_113 = torch.nn.functional.batch_norm(
+            x_in_68,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_68 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_114 = torch.nn.functional.relu(x_113, inplace=True)
+        x_113 = None
+        x_in_69 = torch.conv2d(
+            x_114,
+            l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_114 = l_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_115 = torch.nn.functional.batch_norm(
+            x_in_69,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_69 = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_116 = torch.nn.functional.relu(x_115, inplace=True)
+        x_115 = None
+        x_in_70 = torch.conv2d(
+            x_116,
+            l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_116 = l_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_17 = x_in_70[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_17 = x_in_70[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_70 = None
+        resid_17 = resid_16 + out1_17
+        resid_16 = out1_17 = None
+        dense_17 = torch.cat([dense_16, out2_17], dim=1)
+        dense_16 = out2_17 = None
+        x_in_71 = torch.cat((resid_17, dense_17), dim=1)
+        x_117 = torch.nn.functional.batch_norm(
+            x_in_71,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_71 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_in_72 = torch.conv2d(
+            x_118,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_119 = torch.nn.functional.batch_norm(
+            x_in_72,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_72 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_120 = torch.nn.functional.relu(x_119, inplace=True)
+        x_119 = None
+        x_in_73 = torch.conv2d(
+            x_120,
+            l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_120 = l_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_121 = torch.nn.functional.batch_norm(
+            x_in_73,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_73 = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.relu(x_121, inplace=True)
+        x_121 = None
+        x_in_74 = torch.conv2d(
+            x_122,
+            l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = l_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_18 = x_in_74[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_18 = x_in_74[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_74 = None
+        resid_18 = resid_17 + out1_18
+        resid_17 = out1_18 = None
+        dense_18 = torch.cat([dense_17, out2_18], dim=1)
+        dense_17 = out2_18 = None
+        x_in_75 = torch.cat((resid_18, dense_18), dim=1)
+        x_123 = torch.nn.functional.batch_norm(
+            x_in_75,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_75 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.relu(x_123, inplace=True)
+        x_123 = None
+        x_in_76 = torch.conv2d(
+            x_124,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_125 = torch.nn.functional.batch_norm(
+            x_in_76,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_76 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_in_77 = torch.conv2d(
+            x_126,
+            l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_126 = l_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_127 = torch.nn.functional.batch_norm(
+            x_in_77,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_77 = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_128 = torch.nn.functional.relu(x_127, inplace=True)
+        x_127 = None
+        x_in_78 = torch.conv2d(
+            x_128,
+            l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_128 = l_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_19 = x_in_78[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_19 = x_in_78[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_78 = None
+        resid_19 = resid_18 + out1_19
+        resid_18 = out1_19 = None
+        dense_19 = torch.cat([dense_18, out2_19], dim=1)
+        dense_18 = out2_19 = None
+        x_in_79 = torch.cat((resid_19, dense_19), dim=1)
+        x_129 = torch.nn.functional.batch_norm(
+            x_in_79,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_79 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_130 = torch.nn.functional.relu(x_129, inplace=True)
+        x_129 = None
+        x_in_80 = torch.conv2d(
+            x_130,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_131 = torch.nn.functional.batch_norm(
+            x_in_80,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_80 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_132 = torch.nn.functional.relu(x_131, inplace=True)
+        x_131 = None
+        x_in_81 = torch.conv2d(
+            x_132,
+            l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_132 = l_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_133 = torch.nn.functional.batch_norm(
+            x_in_81,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_81 = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_in_82 = torch.conv2d(
+            x_134,
+            l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_20 = x_in_82[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_20 = x_in_82[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_82 = None
+        resid_20 = resid_19 + out1_20
+        resid_19 = out1_20 = None
+        dense_20 = torch.cat([dense_19, out2_20], dim=1)
+        dense_19 = out2_20 = None
+        x_in_83 = torch.cat((resid_20, dense_20), dim=1)
+        x_135 = torch.nn.functional.batch_norm(
+            x_in_83,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_83 = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.relu(x_135, inplace=True)
+        x_135 = None
+        x_in_84 = torch.conv2d(
+            x_136,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_136 = l_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_137 = torch.nn.functional.batch_norm(
+            x_in_84,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_84 = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_138 = torch.nn.functional.relu(x_137, inplace=True)
+        x_137 = None
+        x_in_85 = torch.conv2d(
+            x_138,
+            l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_138 = l_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_139 = torch.nn.functional.batch_norm(
+            x_in_85,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_85 = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_in_86 = torch.conv2d(
+            x_140,
+            l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_21 = x_in_86[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_21 = x_in_86[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_86 = None
+        resid_21 = resid_20 + out1_21
+        resid_20 = out1_21 = None
+        dense_21 = torch.cat([dense_20, out2_21], dim=1)
+        dense_20 = out2_21 = None
+        x_in_87 = torch.cat((resid_21, dense_21), dim=1)
+        x_141 = torch.nn.functional.batch_norm(
+            x_in_87,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_87 = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_142 = torch.nn.functional.relu(x_141, inplace=True)
+        x_141 = None
+        x_in_88 = torch.conv2d(
+            x_142,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_142 = l_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_143 = torch.nn.functional.batch_norm(
+            x_in_88,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_88 = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_144 = torch.nn.functional.relu(x_143, inplace=True)
+        x_143 = None
+        x_in_89 = torch.conv2d(
+            x_144,
+            l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_144 = l_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_145 = torch.nn.functional.batch_norm(
+            x_in_89,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_89 = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_146 = torch.nn.functional.relu(x_145, inplace=True)
+        x_145 = None
+        x_in_90 = torch.conv2d(
+            x_146,
+            l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_146 = l_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_22 = x_in_90[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_22 = x_in_90[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_90 = None
+        resid_22 = resid_21 + out1_22
+        resid_21 = out1_22 = None
+        dense_22 = torch.cat([dense_21, out2_22], dim=1)
+        dense_21 = out2_22 = None
+        x_in_91 = torch.cat((resid_22, dense_22), dim=1)
+        x_147 = torch.nn.functional.batch_norm(
+            x_in_91,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_91 = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_in_92 = torch.conv2d(
+            x_148,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_149 = torch.nn.functional.batch_norm(
+            x_in_92,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_92 = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.relu(x_149, inplace=True)
+        x_149 = None
+        x_in_93 = torch.conv2d(
+            x_150,
+            l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_150 = l_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_151 = torch.nn.functional.batch_norm(
+            x_in_93,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_93 = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_152 = torch.nn.functional.relu(x_151, inplace=True)
+        x_151 = None
+        x_in_94 = torch.conv2d(
+            x_152,
+            l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_152 = l_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_23 = x_in_94[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_23 = x_in_94[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_94 = None
+        resid_23 = resid_22 + out1_23
+        resid_22 = out1_23 = None
+        dense_23 = torch.cat([dense_22, out2_23], dim=1)
+        dense_22 = out2_23 = None
+        x_in_95 = torch.cat((resid_23, dense_23), dim=1)
+        x_153 = torch.nn.functional.batch_norm(
+            x_in_95,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_95 = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_154 = torch.nn.functional.relu(x_153, inplace=True)
+        x_153 = None
+        x_in_96 = torch.conv2d(
+            x_154,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_154 = l_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_155 = torch.nn.functional.batch_norm(
+            x_in_96,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_96 = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_in_97 = torch.conv2d(
+            x_156,
+            l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_156 = l_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_157 = torch.nn.functional.batch_norm(
+            x_in_97,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_97 = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_158 = torch.nn.functional.relu(x_157, inplace=True)
+        x_157 = None
+        x_in_98 = torch.conv2d(
+            x_158,
+            l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_24 = x_in_98[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_24 = x_in_98[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_98 = None
+        resid_24 = resid_23 + out1_24
+        resid_23 = out1_24 = None
+        dense_24 = torch.cat([dense_23, out2_24], dim=1)
+        dense_23 = out2_24 = None
+        x_in_99 = torch.cat((resid_24, dense_24), dim=1)
+        x_159 = torch.nn.functional.batch_norm(
+            x_in_99,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_99 = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_160 = torch.nn.functional.relu(x_159, inplace=True)
+        x_159 = None
+        x_in_100 = torch.conv2d(
+            x_160,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_160 = l_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_161 = torch.nn.functional.batch_norm(
+            x_in_100,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_100 = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_in_101 = torch.conv2d(
+            x_162,
+            l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_162 = l_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_163 = torch.nn.functional.batch_norm(
+            x_in_101,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_101 = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_164 = torch.nn.functional.relu(x_163, inplace=True)
+        x_163 = None
+        x_in_102 = torch.conv2d(
+            x_164,
+            l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_164 = l_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_25 = x_in_102[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_25 = x_in_102[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_102 = None
+        resid_25 = resid_24 + out1_25
+        resid_24 = out1_25 = None
+        dense_25 = torch.cat([dense_24, out2_25], dim=1)
+        dense_24 = out2_25 = None
+        x_in_103 = torch.cat((resid_25, dense_25), dim=1)
+        x_165 = torch.nn.functional.batch_norm(
+            x_in_103,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_103 = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_166 = torch.nn.functional.relu(x_165, inplace=True)
+        x_165 = None
+        x_in_104 = torch.conv2d(
+            x_166,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_166 = l_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_167 = torch.nn.functional.batch_norm(
+            x_in_104,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_104 = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_168 = torch.nn.functional.relu(x_167, inplace=True)
+        x_167 = None
+        x_in_105 = torch.conv2d(
+            x_168,
+            l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_168 = l_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_169 = torch.nn.functional.batch_norm(
+            x_in_105,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_105 = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_170 = torch.nn.functional.relu(x_169, inplace=True)
+        x_169 = None
+        x_in_106 = torch.conv2d(
+            x_170,
+            l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_170 = l_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_26 = x_in_106[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_26 = x_in_106[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_106 = None
+        resid_26 = resid_25 + out1_26
+        resid_25 = out1_26 = None
+        dense_26 = torch.cat([dense_25, out2_26], dim=1)
+        dense_25 = out2_26 = None
+        x_in_107 = torch.cat((resid_26, dense_26), dim=1)
+        x_171 = torch.nn.functional.batch_norm(
+            x_in_107,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_107 = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_172 = torch.nn.functional.relu(x_171, inplace=True)
+        x_171 = None
+        x_in_108 = torch.conv2d(
+            x_172,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_172 = l_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_173 = torch.nn.functional.batch_norm(
+            x_in_108,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_108 = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_174 = torch.nn.functional.relu(x_173, inplace=True)
+        x_173 = None
+        x_in_109 = torch.conv2d(
+            x_174,
+            l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_174 = l_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_175 = torch.nn.functional.batch_norm(
+            x_in_109,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_109 = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_176 = torch.nn.functional.relu(x_175, inplace=True)
+        x_175 = None
+        x_in_110 = torch.conv2d(
+            x_176,
+            l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_176 = l_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_27 = x_in_110[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_27 = x_in_110[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_110 = None
+        resid_27 = resid_26 + out1_27
+        resid_26 = out1_27 = None
+        dense_27 = torch.cat([dense_26, out2_27], dim=1)
+        dense_26 = out2_27 = None
+        x_in_111 = torch.cat((resid_27, dense_27), dim=1)
+        x_177 = torch.nn.functional.batch_norm(
+            x_in_111,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_111 = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_178 = torch.nn.functional.relu(x_177, inplace=True)
+        x_177 = None
+        x_in_112 = torch.conv2d(
+            x_178,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_178 = l_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_179 = torch.nn.functional.batch_norm(
+            x_in_112,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_112 = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_180 = torch.nn.functional.relu(x_179, inplace=True)
+        x_179 = None
+        x_in_113 = torch.conv2d(
+            x_180,
+            l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_180 = l_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_181 = torch.nn.functional.batch_norm(
+            x_in_113,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_113 = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_182 = torch.nn.functional.relu(x_181, inplace=True)
+        x_181 = None
+        x_in_114 = torch.conv2d(
+            x_182,
+            l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_182 = l_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_28 = x_in_114[
+            (
+                slice(None, None, None),
+                slice(None, 1024, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_28 = x_in_114[
+            (
+                slice(None, None, None),
+                slice(1024, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_114 = None
+        resid_28 = resid_27 + out1_28
+        resid_27 = out1_28 = None
+        dense_28 = torch.cat([dense_27, out2_28], dim=1)
+        dense_27 = out2_28 = None
+        x_in_115 = torch.cat((resid_28, dense_28), dim=1)
+        resid_28 = dense_28 = None
+        x_183 = torch.nn.functional.batch_norm(
+            x_in_115,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_ = (None)
+        x_184 = torch.nn.functional.relu(x_183, inplace=True)
+        x_183 = None
+        x_s_3 = torch.conv2d(
+            x_184,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_184 = l_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_ = (None)
+        x_s1_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s2_3 = x_s_3[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_s_3 = None
+        x_185 = torch.nn.functional.batch_norm(
+            x_in_115,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_115 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_186 = torch.nn.functional.relu(x_185, inplace=True)
+        x_185 = None
+        x_in_116 = torch.conv2d(
+            x_186,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_186 = l_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_187 = torch.nn.functional.batch_norm(
+            x_in_116,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_116 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_188 = torch.nn.functional.relu(x_187, inplace=True)
+        x_187 = None
+        x_in_117 = torch.conv2d(
+            x_188,
+            l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_188 = l_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_189 = torch.nn.functional.batch_norm(
+            x_in_117,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_117 = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_190 = torch.nn.functional.relu(x_189, inplace=True)
+        x_189 = None
+        x_in_118 = torch.conv2d(
+            x_190,
+            l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_190 = l_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_29 = x_in_118[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_29 = x_in_118[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_118 = None
+        resid_29 = x_s1_3 + out1_29
+        x_s1_3 = out1_29 = None
+        dense_29 = torch.cat([x_s2_3, out2_29], dim=1)
+        x_s2_3 = out2_29 = None
+        x_in_119 = torch.cat((resid_29, dense_29), dim=1)
+        x_191 = torch.nn.functional.batch_norm(
+            x_in_119,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_119 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_192 = torch.nn.functional.relu(x_191, inplace=True)
+        x_191 = None
+        x_in_120 = torch.conv2d(
+            x_192,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_192 = l_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_193 = torch.nn.functional.batch_norm(
+            x_in_120,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_120 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_194 = torch.nn.functional.relu(x_193, inplace=True)
+        x_193 = None
+        x_in_121 = torch.conv2d(
+            x_194,
+            l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_194 = l_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_195 = torch.nn.functional.batch_norm(
+            x_in_121,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_121 = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_196 = torch.nn.functional.relu(x_195, inplace=True)
+        x_195 = None
+        x_in_122 = torch.conv2d(
+            x_196,
+            l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_196 = l_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_30 = x_in_122[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_30 = x_in_122[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_122 = None
+        resid_30 = resid_29 + out1_30
+        resid_29 = out1_30 = None
+        dense_30 = torch.cat([dense_29, out2_30], dim=1)
+        dense_29 = out2_30 = None
+        x_in_123 = torch.cat((resid_30, dense_30), dim=1)
+        x_197 = torch.nn.functional.batch_norm(
+            x_in_123,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_123 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_ = (None)
+        x_198 = torch.nn.functional.relu(x_197, inplace=True)
+        x_197 = None
+        x_in_124 = torch.conv2d(
+            x_198,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_198 = l_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_ = (None)
+        x_199 = torch.nn.functional.batch_norm(
+            x_in_124,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_124 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_ = (None)
+        x_200 = torch.nn.functional.relu(x_199, inplace=True)
+        x_199 = None
+        x_in_125 = torch.conv2d(
+            x_200,
+            l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_200 = l_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_ = (None)
+        x_201 = torch.nn.functional.batch_norm(
+            x_in_125,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_in_125 = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_ = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_ = (None)
+        x_202 = torch.nn.functional.relu(x_201, inplace=True)
+        x_201 = None
+        x_in_126 = torch.conv2d(
+            x_202,
+            l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_202 = l_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_ = (None)
+        out1_31 = x_in_126[
+            (
+                slice(None, None, None),
+                slice(None, 2048, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out2_31 = x_in_126[
+            (
+                slice(None, None, None),
+                slice(2048, None, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        x_in_126 = None
+        resid_31 = resid_30 + out1_31
+        resid_30 = out1_31 = None
+        dense_31 = torch.cat([dense_30, out2_31], dim=1)
+        dense_30 = out2_31 = None
+        x_203 = torch.cat((resid_31, dense_31), dim=1)
+        resid_31 = dense_31 = None
+        x_204 = torch.nn.functional.batch_norm(
+            x_203,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_,
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            0.001,
+        )
+        x_203 = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_
+        ) = None
+        x_205 = torch.nn.functional.relu(x_204, inplace=False)
+        x_204 = None
+        x_206 = torch.nn.functional.adaptive_avg_pool2d(x_205, 1)
+        x_205 = None
+        x_207 = torch.conv2d(
+            x_206,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_206 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        x_208 = x_207.flatten(1, -1)
+        x_207 = None
+        return (x_208,)
diff --git a/samples/timm/dpn98.mx_in1k/weight_meta.py b/samples/timm/dpn98.mx_in1k/weight_meta.py
new file mode 100644
index 000000000..25905c693
--- /dev/null
+++ b/samples/timm/dpn98.mx_in1k/weight_meta.py
@@ -0,0 +1,5130 @@
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_conv_parameters_weight_"
+    shape = [96, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.233
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv1_1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_w_s1_modules_conv_parameters_weight_"
+    shape = [288, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [160, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [160, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [272, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [160, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [160, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [272, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [160, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [160, 4, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv2_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [272, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [576, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_5_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [320, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [320, 8, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv3_6_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [544, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [1088, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_4_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_5_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_6_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_7_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1312, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_8_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_9_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1376]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1376, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_10_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_11_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1440, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_12_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1472]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1472, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_13_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1504]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1504, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_14_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_15_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1568]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1568]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1568]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1568]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1568, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_16_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1600]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1600, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_17_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_18_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1664]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1664, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_19_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1696]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1696]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1696]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1696]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [640, 1696, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [640, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv4_20_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [1056, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_mean_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_buffers_running_var_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_weight_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_bn_parameters_bias_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_w_s2_modules_conv_parameters_weight_"
+    shape = [2304, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1280, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1280, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_1_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2432]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1280, 2432, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1280, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_2_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_mean_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_buffers_running_var_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_weight_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_bn_parameters_bias_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_a_modules_conv_parameters_weight_"
+    shape = [1280, 2560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c3x3_b_modules_conv_parameters_weight_"
+    shape = [1280, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_3_modules_c1x1_c_modules_conv_parameters_weight_"
+    shape = [2176, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_:
+    name = (
+        "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_mean_"
+    )
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_buffers_running_var_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_weight_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_:
+    name = "L_self_modules_features_modules_conv5_bn_ac_modules_bn_parameters_bias_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 2688, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.011
+    data = None
diff --git a/samples/timm/eca_resnet33ts.ra2_in1k/graph_hash.txt b/samples/timm/eca_resnet33ts.ra2_in1k/graph_hash.txt
new file mode 100644
index 000000000..e94969a42
--- /dev/null
+++ b/samples/timm/eca_resnet33ts.ra2_in1k/graph_hash.txt
@@ -0,0 +1 @@
+65ce50907498f5c42eec4933fd19c21ee725b9064d0d85b546ff601a3c317da5
\ No newline at end of file
diff --git a/samples/timm/eca_resnet33ts.ra2_in1k/graph_net.json b/samples/timm/eca_resnet33ts.ra2_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/eca_resnet33ts.ra2_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/eca_resnet33ts.ra2_in1k/input_meta.py b/samples/timm/eca_resnet33ts.ra2_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eca_resnet33ts.ra2_in1k/input_tensor_constraints.py b/samples/timm/eca_resnet33ts.ra2_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eca_resnet33ts.ra2_in1k/model.py b/samples/timm/eca_resnet33ts.ra2_in1k/model.py
new file mode 100644
index 000000000..f42df6a97
--- /dev/null
+++ b/samples/timm/eca_resnet33ts.ra2_in1k/model.py
@@ -0,0 +1,1628 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_conv3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_final_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_final_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_conv1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_conv1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_conv1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_conv1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_conv1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_conv1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_conv2_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_conv2_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_conv2_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_conv2_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_conv2_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_conv2_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_conv3_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_conv3_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_conv3_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_conv3_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_conv3_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_conv3_modules_bn_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_2_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_2_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_final_conv_modules_conv_parameters_weight_ = (
+            L_self_modules_final_conv_modules_conv_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_bn_buffers_running_mean_ = (
+            L_self_modules_final_conv_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_final_conv_modules_bn_buffers_running_var_ = (
+            L_self_modules_final_conv_modules_bn_buffers_running_var_
+        )
+        l_self_modules_final_conv_modules_bn_parameters_weight_ = (
+            L_self_modules_final_conv_modules_bn_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_bn_parameters_bias_ = (
+            L_self_modules_final_conv_modules_bn_parameters_bias_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_conv1_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_conv1_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_conv1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.silu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stem_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stem_modules_conv2_modules_conv_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_conv2_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_conv2_modules_bn_parameters_bias_ = None
+        x_5 = torch.nn.functional.silu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_stem_modules_conv3_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_stem_modules_conv3_modules_conv_parameters_weight_ = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_conv3_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_conv3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_conv3_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_conv3_modules_bn_parameters_bias_ = None
+        x_8 = torch.nn.functional.silu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_11 = torch.nn.functional.silu(x_10, inplace=True)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.silu(x_13, inplace=True)
+        x_13 = None
+        mean = x_14.mean((2, 3))
+        sym_sum = torch.sym_sum([-1, s1])
+        s1 = None
+        floordiv = sym_sum // 4
+        sym_sum_1 = torch.sym_sum([1, floordiv])
+        floordiv = sym_sum_1 = None
+        y = mean.view(1, 1, -1)
+        mean = None
+        y_1 = torch.conv1d(
+            y,
+            l_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (1,),
+            (1,),
+            1,
+        )
+        y = l_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid = y_1.sigmoid()
+        y_1 = None
+        y_2 = sigmoid.view(1, -1, 1, 1)
+        sigmoid = None
+        expand_as = y_2.expand_as(x_14)
+        y_2 = None
+        x_15 = x_14 * expand_as
+        x_14 = expand_as = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_18 = torch.conv2d(
+            x_8,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_20 = x_17 + x_19
+        x_17 = x_19 = None
+        input_1 = torch.nn.functional.silu(x_20, inplace=True)
+        x_20 = None
+        x_21 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_23 = torch.nn.functional.silu(x_22, inplace=True)
+        x_22 = None
+        x_24 = torch.conv2d(
+            x_23,
+            l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_26 = torch.nn.functional.silu(x_25, inplace=True)
+        x_25 = None
+        mean_1 = x_26.mean((2, 3))
+        y_3 = mean_1.view(1, 1, -1)
+        mean_1 = None
+        y_4 = torch.conv1d(
+            y_3,
+            l_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (1,),
+            (1,),
+            1,
+        )
+        y_3 = l_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_1 = y_4.sigmoid()
+        y_4 = None
+        y_5 = sigmoid_1.view(1, -1, 1, 1)
+        sigmoid_1 = None
+        expand_as_1 = y_5.expand_as(x_26)
+        y_5 = None
+        x_27 = x_26 * expand_as_1
+        x_26 = expand_as_1 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_30 = x_29 + input_1
+        x_29 = input_1 = None
+        input_2 = torch.nn.functional.silu(x_30, inplace=True)
+        x_30 = None
+        x_31 = torch.conv2d(
+            input_2,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_33 = torch.nn.functional.silu(x_32, inplace=True)
+        x_32 = None
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_33 = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.silu(x_35, inplace=True)
+        x_35 = None
+        mean_2 = x_36.mean((2, 3))
+        floordiv_1 = sym_sum // 8
+        sym_sum_2 = torch.sym_sum([1, floordiv_1])
+        floordiv_1 = sym_sum_2 = None
+        y_6 = mean_2.view(1, 1, -1)
+        mean_2 = None
+        y_7 = torch.conv1d(
+            y_6,
+            l_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_6 = l_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_2 = y_7.sigmoid()
+        y_7 = None
+        y_8 = sigmoid_2.view(1, -1, 1, 1)
+        sigmoid_2 = None
+        expand_as_2 = y_8.expand_as(x_36)
+        y_8 = None
+        x_37 = x_36 * expand_as_2
+        x_36 = expand_as_2 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_37 = l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_40 = torch.conv2d(
+            input_2,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_2 = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_42 = x_39 + x_41
+        x_39 = x_41 = None
+        input_3 = torch.nn.functional.silu(x_42, inplace=True)
+        x_42 = None
+        x_43 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_45 = torch.nn.functional.silu(x_44, inplace=True)
+        x_44 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_45 = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.silu(x_47, inplace=True)
+        x_47 = None
+        mean_3 = x_48.mean((2, 3))
+        y_9 = mean_3.view(1, 1, -1)
+        mean_3 = None
+        y_10 = torch.conv1d(
+            y_9,
+            l_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_9 = l_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_3 = y_10.sigmoid()
+        y_10 = None
+        y_11 = sigmoid_3.view(1, -1, 1, 1)
+        sigmoid_3 = None
+        expand_as_3 = y_11.expand_as(x_48)
+        y_11 = None
+        x_49 = x_48 * expand_as_3
+        x_48 = expand_as_3 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_52 = x_51 + input_3
+        x_51 = input_3 = None
+        input_4 = torch.nn.functional.silu(x_52, inplace=True)
+        x_52 = None
+        x_53 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_55 = torch.nn.functional.silu(x_54, inplace=True)
+        x_54 = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_55 = l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_58 = torch.nn.functional.silu(x_57, inplace=True)
+        x_57 = None
+        mean_4 = x_58.mean((2, 3))
+        y_12 = mean_4.view(1, 1, -1)
+        mean_4 = None
+        y_13 = torch.conv1d(
+            y_12,
+            l_self_modules_stages_modules_1_modules_2_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_12 = l_self_modules_stages_modules_1_modules_2_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_4 = y_13.sigmoid()
+        y_13 = None
+        y_14 = sigmoid_4.view(1, -1, 1, 1)
+        sigmoid_4 = None
+        expand_as_4 = y_14.expand_as(x_58)
+        y_14 = None
+        x_59 = x_58 * expand_as_4
+        x_58 = expand_as_4 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_59 = l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_62 = x_61 + input_4
+        x_61 = input_4 = None
+        input_5 = torch.nn.functional.silu(x_62, inplace=True)
+        x_62 = None
+        x_63 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_64 = torch.nn.functional.batch_norm(
+            x_63,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_63 = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_65 = torch.nn.functional.silu(x_64, inplace=True)
+        x_64 = None
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_65 = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.nn.functional.silu(x_67, inplace=True)
+        x_67 = None
+        mean_5 = x_68.mean((2, 3))
+        floordiv_2 = sym_sum // 16
+        sym_sum_3 = torch.sym_sum([1, floordiv_2])
+        floordiv_2 = sym_sum_3 = None
+        y_15 = mean_5.view(1, 1, -1)
+        mean_5 = None
+        y_16 = torch.conv1d(
+            y_15,
+            l_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_15 = l_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_5 = y_16.sigmoid()
+        y_16 = None
+        y_17 = sigmoid_5.view(1, -1, 1, 1)
+        sigmoid_5 = None
+        expand_as_5 = y_17.expand_as(x_68)
+        y_17 = None
+        x_69 = x_68 * expand_as_5
+        x_68 = expand_as_5 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_69 = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_5 = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_74 = x_71 + x_73
+        x_71 = x_73 = None
+        input_6 = torch.nn.functional.silu(x_74, inplace=True)
+        x_74 = None
+        x_75 = torch.conv2d(
+            input_6,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_77 = torch.nn.functional.silu(x_76, inplace=True)
+        x_76 = None
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_77 = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.silu(x_79, inplace=True)
+        x_79 = None
+        mean_6 = x_80.mean((2, 3))
+        y_18 = mean_6.view(1, 1, -1)
+        mean_6 = None
+        y_19 = torch.conv1d(
+            y_18,
+            l_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_18 = l_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_6 = y_19.sigmoid()
+        y_19 = None
+        y_20 = sigmoid_6.view(1, -1, 1, 1)
+        sigmoid_6 = None
+        expand_as_6 = y_20.expand_as(x_80)
+        y_20 = None
+        x_81 = x_80 * expand_as_6
+        x_80 = expand_as_6 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_81 = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_84 = x_83 + input_6
+        x_83 = input_6 = None
+        input_7 = torch.nn.functional.silu(x_84, inplace=True)
+        x_84 = None
+        x_85 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_86 = torch.nn.functional.batch_norm(
+            x_85,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_85 = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_87 = torch.nn.functional.silu(x_86, inplace=True)
+        x_86 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_87 = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_90 = torch.nn.functional.silu(x_89, inplace=True)
+        x_89 = None
+        mean_7 = x_90.mean((2, 3))
+        y_21 = mean_7.view(1, 1, -1)
+        mean_7 = None
+        y_22 = torch.conv1d(
+            y_21,
+            l_self_modules_stages_modules_2_modules_2_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_21 = l_self_modules_stages_modules_2_modules_2_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_7 = y_22.sigmoid()
+        y_22 = None
+        y_23 = sigmoid_7.view(1, -1, 1, 1)
+        sigmoid_7 = None
+        expand_as_7 = y_23.expand_as(x_90)
+        y_23 = None
+        x_91 = x_90 * expand_as_7
+        x_90 = expand_as_7 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_91 = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_94 = x_93 + input_7
+        x_93 = input_7 = None
+        input_8 = torch.nn.functional.silu(x_94, inplace=True)
+        x_94 = None
+        x_95 = torch.conv2d(
+            input_8,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_96 = torch.nn.functional.batch_norm(
+            x_95,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_95 = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_97 = torch.nn.functional.silu(x_96, inplace=True)
+        x_96 = None
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_97 = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_100 = torch.nn.functional.silu(x_99, inplace=True)
+        x_99 = None
+        mean_8 = x_100.mean((2, 3))
+        floordiv_3 = sym_sum // 32
+        sym_sum = None
+        sym_sum_4 = torch.sym_sum([1, floordiv_3])
+        floordiv_3 = sym_sum_4 = None
+        y_24 = mean_8.view(1, 1, -1)
+        mean_8 = None
+        y_25 = torch.conv1d(
+            y_24,
+            l_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_24 = l_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_8 = y_25.sigmoid()
+        y_25 = None
+        y_26 = sigmoid_8.view(1, -1, 1, 1)
+        sigmoid_8 = None
+        expand_as_8 = y_26.expand_as(x_100)
+        y_26 = None
+        x_101 = x_100 * expand_as_8
+        x_100 = expand_as_8 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_101 = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_104 = torch.conv2d(
+            input_8,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_8 = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_106 = x_103 + x_105
+        x_103 = x_105 = None
+        input_9 = torch.nn.functional.silu(x_106, inplace=True)
+        x_106 = None
+        x_107 = torch.conv2d(
+            input_9,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_109 = torch.nn.functional.silu(x_108, inplace=True)
+        x_108 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_109 = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.silu(x_111, inplace=True)
+        x_111 = None
+        mean_9 = x_112.mean((2, 3))
+        y_27 = mean_9.view(1, 1, -1)
+        mean_9 = None
+        y_28 = torch.conv1d(
+            y_27,
+            l_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_27 = l_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_9 = y_28.sigmoid()
+        y_28 = None
+        y_29 = sigmoid_9.view(1, -1, 1, 1)
+        sigmoid_9 = None
+        expand_as_9 = y_29.expand_as(x_112)
+        y_29 = None
+        x_113 = x_112 * expand_as_9
+        x_112 = expand_as_9 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_113 = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_116 = x_115 + input_9
+        x_115 = input_9 = None
+        input_10 = torch.nn.functional.silu(x_116, inplace=True)
+        x_116 = None
+        x_117 = torch.conv2d(
+            input_10,
+            l_self_modules_final_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_10 = l_self_modules_final_conv_modules_conv_parameters_weight_ = None
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_final_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_final_conv_modules_bn_buffers_running_var_,
+            l_self_modules_final_conv_modules_bn_parameters_weight_,
+            l_self_modules_final_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = (
+            l_self_modules_final_conv_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_final_conv_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_final_conv_modules_bn_parameters_weight_
+        ) = l_self_modules_final_conv_modules_bn_parameters_bias_ = None
+        x_119 = torch.nn.functional.silu(x_118, inplace=True)
+        x_118 = None
+        x_120 = torch.nn.functional.adaptive_avg_pool2d(x_119, 1)
+        x_119 = None
+        x_121 = x_120.flatten(1, -1)
+        x_120 = None
+        x_122 = torch.nn.functional.dropout(x_121, 0.0, False, False)
+        x_121 = None
+        x_123 = torch._C._nn.linear(
+            x_122,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_122 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_123,)
diff --git a/samples/timm/eca_resnet33ts.ra2_in1k/weight_meta.py b/samples/timm/eca_resnet33ts.ra2_in1k/weight_meta.py
new file mode 100644
index 000000000..326f2290d
--- /dev/null
+++ b/samples/timm/eca_resnet33ts.ra2_in1k/weight_meta.py
@@ -0,0 +1,2038 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv1_modules_conv_parameters_weight_"
+    shape = [24, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.094
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv1_modules_bn_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_conv1_modules_bn_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv2_modules_conv_parameters_weight_"
+    shape = [32, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv2_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_conv2_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv3_modules_conv_parameters_weight_"
+    shape = [64, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv3_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_conv3_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.122
+    std = 0.161
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.014
+    std = 0.349
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.185
+    std = 0.216
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.042
+    std = 0.319
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.067
+    std = 0.159
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [384, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [384, 384, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.076
+    std = 0.344
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [1536, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [384, 384, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.009
+    std = 0.374
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [384, 384, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.181
+    std = 0.222
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [384, 384, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.166
+    std = 0.252
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [1536, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [384, 384, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.080
+    std = 0.244
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_parameters_weight_"
+    shape = [1280, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_final_conv_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_final_conv_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/eca_resnext26ts.ch_in1k/graph_hash.txt b/samples/timm/eca_resnext26ts.ch_in1k/graph_hash.txt
new file mode 100644
index 000000000..37b49f20f
--- /dev/null
+++ b/samples/timm/eca_resnext26ts.ch_in1k/graph_hash.txt
@@ -0,0 +1 @@
+cd4e9c09a813ac2eccb4a5463e04a2822504690d10fcee8843970771d4003c72
\ No newline at end of file
diff --git a/samples/timm/eca_resnext26ts.ch_in1k/graph_net.json b/samples/timm/eca_resnext26ts.ch_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/eca_resnext26ts.ch_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/eca_resnext26ts.ch_in1k/input_meta.py b/samples/timm/eca_resnext26ts.ch_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eca_resnext26ts.ch_in1k/input_tensor_constraints.py b/samples/timm/eca_resnext26ts.ch_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eca_resnext26ts.ch_in1k/model.py b/samples/timm/eca_resnext26ts.ch_in1k/model.py
new file mode 100644
index 000000000..dabf2b821
--- /dev/null
+++ b/samples/timm/eca_resnext26ts.ch_in1k/model.py
@@ -0,0 +1,1331 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_conv3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_conv3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_conv1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_conv1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_conv1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_conv1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_conv1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_conv1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_conv2_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_conv2_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_conv2_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_conv2_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_conv2_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_conv2_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_conv3_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_conv3_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_conv3_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_conv3_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_conv3_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_conv3_modules_bn_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_conv1_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_conv1_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_conv1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.silu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stem_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stem_modules_conv2_modules_conv_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_conv2_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_conv2_modules_bn_parameters_bias_ = None
+        x_5 = torch.nn.functional.silu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_stem_modules_conv3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_stem_modules_conv3_modules_conv_parameters_weight_ = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_conv3_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_conv3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_conv3_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_conv3_modules_bn_parameters_bias_ = None
+        x_8 = torch.nn.functional.silu(x_7, inplace=True)
+        x_7 = None
+        input_1 = torch.nn.functional.max_pool2d(
+            x_8, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_8 = None
+        x_9 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_11 = torch.nn.functional.silu(x_10, inplace=True)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2,
+        )
+        x_11 = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.silu(x_13, inplace=True)
+        x_13 = None
+        mean = x_14.mean((2, 3))
+        sym_sum = torch.sym_sum([-1, s1])
+        s1 = None
+        floordiv = sym_sum // 4
+        sym_sum_1 = torch.sym_sum([1, floordiv])
+        floordiv = sym_sum_1 = None
+        y = mean.view(1, 1, -1)
+        mean = None
+        y_1 = torch.conv1d(
+            y,
+            l_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (1,),
+            (1,),
+            1,
+        )
+        y = l_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid = y_1.sigmoid()
+        y_1 = None
+        y_2 = sigmoid.view(1, -1, 1, 1)
+        sigmoid = None
+        expand_as = y_2.expand_as(x_14)
+        y_2 = None
+        x_15 = x_14 * expand_as
+        x_14 = expand_as = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_18 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_1 = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_20 = x_17 + x_19
+        x_17 = x_19 = None
+        input_2 = torch.nn.functional.silu(x_20, inplace=True)
+        x_20 = None
+        x_21 = torch.conv2d(
+            input_2,
+            l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_23 = torch.nn.functional.silu(x_22, inplace=True)
+        x_22 = None
+        x_24 = torch.conv2d(
+            x_23,
+            l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2,
+        )
+        x_23 = l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_26 = torch.nn.functional.silu(x_25, inplace=True)
+        x_25 = None
+        mean_1 = x_26.mean((2, 3))
+        y_3 = mean_1.view(1, 1, -1)
+        mean_1 = None
+        y_4 = torch.conv1d(
+            y_3,
+            l_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (1,),
+            (1,),
+            1,
+        )
+        y_3 = l_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_1 = y_4.sigmoid()
+        y_4 = None
+        y_5 = sigmoid_1.view(1, -1, 1, 1)
+        sigmoid_1 = None
+        expand_as_1 = y_5.expand_as(x_26)
+        y_5 = None
+        x_27 = x_26 * expand_as_1
+        x_26 = expand_as_1 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_30 = x_29 + input_2
+        x_29 = input_2 = None
+        input_3 = torch.nn.functional.silu(x_30, inplace=True)
+        x_30 = None
+        x_31 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_33 = torch.nn.functional.silu(x_32, inplace=True)
+        x_32 = None
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            4,
+        )
+        x_33 = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.silu(x_35, inplace=True)
+        x_35 = None
+        mean_2 = x_36.mean((2, 3))
+        floordiv_1 = sym_sum // 8
+        sym_sum_2 = torch.sym_sum([1, floordiv_1])
+        floordiv_1 = sym_sum_2 = None
+        y_6 = mean_2.view(1, 1, -1)
+        mean_2 = None
+        y_7 = torch.conv1d(
+            y_6,
+            l_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_6 = l_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_2 = y_7.sigmoid()
+        y_7 = None
+        y_8 = sigmoid_2.view(1, -1, 1, 1)
+        sigmoid_2 = None
+        expand_as_2 = y_8.expand_as(x_36)
+        y_8 = None
+        x_37 = x_36 * expand_as_2
+        x_36 = expand_as_2 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_37 = l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_40 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_42 = x_39 + x_41
+        x_39 = x_41 = None
+        input_4 = torch.nn.functional.silu(x_42, inplace=True)
+        x_42 = None
+        x_43 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_45 = torch.nn.functional.silu(x_44, inplace=True)
+        x_44 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            4,
+        )
+        x_45 = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.silu(x_47, inplace=True)
+        x_47 = None
+        mean_3 = x_48.mean((2, 3))
+        y_9 = mean_3.view(1, 1, -1)
+        mean_3 = None
+        y_10 = torch.conv1d(
+            y_9,
+            l_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_9 = l_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_3 = y_10.sigmoid()
+        y_10 = None
+        y_11 = sigmoid_3.view(1, -1, 1, 1)
+        sigmoid_3 = None
+        expand_as_3 = y_11.expand_as(x_48)
+        y_11 = None
+        x_49 = x_48 * expand_as_3
+        x_48 = expand_as_3 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_52 = x_51 + input_4
+        x_51 = input_4 = None
+        input_5 = torch.nn.functional.silu(x_52, inplace=True)
+        x_52 = None
+        x_53 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_55 = torch.nn.functional.silu(x_54, inplace=True)
+        x_54 = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            8,
+        )
+        x_55 = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_58 = torch.nn.functional.silu(x_57, inplace=True)
+        x_57 = None
+        mean_4 = x_58.mean((2, 3))
+        floordiv_2 = sym_sum // 16
+        sym_sum_3 = torch.sym_sum([1, floordiv_2])
+        floordiv_2 = sym_sum_3 = None
+        y_12 = mean_4.view(1, 1, -1)
+        mean_4 = None
+        y_13 = torch.conv1d(
+            y_12,
+            l_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_12 = l_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_4 = y_13.sigmoid()
+        y_13 = None
+        y_14 = sigmoid_4.view(1, -1, 1, 1)
+        sigmoid_4 = None
+        expand_as_4 = y_14.expand_as(x_58)
+        y_14 = None
+        x_59 = x_58 * expand_as_4
+        x_58 = expand_as_4 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_59 = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_5 = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_64 = x_61 + x_63
+        x_61 = x_63 = None
+        input_6 = torch.nn.functional.silu(x_64, inplace=True)
+        x_64 = None
+        x_65 = torch.conv2d(
+            input_6,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_65 = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_67 = torch.nn.functional.silu(x_66, inplace=True)
+        x_66 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            8,
+        )
+        x_67 = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.nn.functional.silu(x_69, inplace=True)
+        x_69 = None
+        mean_5 = x_70.mean((2, 3))
+        y_15 = mean_5.view(1, 1, -1)
+        mean_5 = None
+        y_16 = torch.conv1d(
+            y_15,
+            l_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_15 = l_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_5 = y_16.sigmoid()
+        y_16 = None
+        y_17 = sigmoid_5.view(1, -1, 1, 1)
+        sigmoid_5 = None
+        expand_as_5 = y_17.expand_as(x_70)
+        y_17 = None
+        x_71 = x_70 * expand_as_5
+        x_70 = expand_as_5 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_71 = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_74 = x_73 + input_6
+        x_73 = input_6 = None
+        input_7 = torch.nn.functional.silu(x_74, inplace=True)
+        x_74 = None
+        x_75 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_77 = torch.nn.functional.silu(x_76, inplace=True)
+        x_76 = None
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            16,
+        )
+        x_77 = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.silu(x_79, inplace=True)
+        x_79 = None
+        mean_6 = x_80.mean((2, 3))
+        floordiv_3 = sym_sum // 32
+        sym_sum = None
+        sym_sum_4 = torch.sym_sum([1, floordiv_3])
+        floordiv_3 = sym_sum_4 = None
+        y_18 = mean_6.view(1, 1, -1)
+        mean_6 = None
+        y_19 = torch.conv1d(
+            y_18,
+            l_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_18 = l_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_6 = y_19.sigmoid()
+        y_19 = None
+        y_20 = sigmoid_6.view(1, -1, 1, 1)
+        sigmoid_6 = None
+        expand_as_6 = y_20.expand_as(x_80)
+        y_20 = None
+        x_81 = x_80 * expand_as_6
+        x_80 = expand_as_6 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_81 = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_7 = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_86 = x_83 + x_85
+        x_83 = x_85 = None
+        input_8 = torch.nn.functional.silu(x_86, inplace=True)
+        x_86 = None
+        x_87 = torch.conv2d(
+            input_8,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_89 = torch.nn.functional.silu(x_88, inplace=True)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            16,
+        )
+        x_89 = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.silu(x_91, inplace=True)
+        x_91 = None
+        mean_7 = x_92.mean((2, 3))
+        y_21 = mean_7.view(1, 1, -1)
+        mean_7 = None
+        y_22 = torch.conv1d(
+            y_21,
+            l_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_21 = l_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_ = (None)
+        sigmoid_7 = y_22.sigmoid()
+        y_22 = None
+        y_23 = sigmoid_7.view(1, -1, 1, 1)
+        sigmoid_7 = None
+        expand_as_7 = y_23.expand_as(x_92)
+        y_23 = None
+        x_93 = x_92 * expand_as_7
+        x_92 = expand_as_7 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_96 = x_95 + input_8
+        x_95 = input_8 = None
+        input_9 = torch.nn.functional.silu(x_96, inplace=True)
+        x_96 = None
+        x_97 = torch.nn.functional.adaptive_avg_pool2d(input_9, 1)
+        input_9 = None
+        x_98 = x_97.flatten(1, -1)
+        x_97 = None
+        x_99 = torch.nn.functional.dropout(x_98, 0.0, False, False)
+        x_98 = None
+        x_100 = torch._C._nn.linear(
+            x_99,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_99 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_100,)
diff --git a/samples/timm/eca_resnext26ts.ch_in1k/weight_meta.py b/samples/timm/eca_resnext26ts.ch_in1k/weight_meta.py
new file mode 100644
index 000000000..7a3d30a76
--- /dev/null
+++ b/samples/timm/eca_resnext26ts.ch_in1k/weight_meta.py
@@ -0,0 +1,1668 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv1_modules_conv_parameters_weight_"
+    shape = [24, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.225
+    std = 1.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv1_modules_bn_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_conv1_modules_bn_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv2_modules_conv_parameters_weight_"
+    shape = [32, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.085
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv2_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_conv2_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv3_modules_conv_parameters_weight_"
+    shape = [64, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.060
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_conv3_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_conv3_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv3_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_conv3_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.174
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [64, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.094
+    std = 0.164
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [64, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.186
+    std = 0.397
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [128, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.101
+    std = 0.345
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [128, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.034
+    std = 0.229
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [256, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.110
+    std = 0.233
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [256, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.019
+    std = 0.344
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [512, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.073
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [512, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_attn_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.106
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/ecaresnet101d.miil_in1k/graph_hash.txt b/samples/timm/ecaresnet101d.miil_in1k/graph_hash.txt
new file mode 100644
index 000000000..e452b122f
--- /dev/null
+++ b/samples/timm/ecaresnet101d.miil_in1k/graph_hash.txt
@@ -0,0 +1 @@
+1cf2f9bde44117dd70e9944e96d14b776b31accd9f27441af7e5358dca497f3a
\ No newline at end of file
diff --git a/samples/timm/ecaresnet101d.miil_in1k/graph_net.json b/samples/timm/ecaresnet101d.miil_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ecaresnet101d.miil_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ecaresnet101d.miil_in1k/input_meta.py b/samples/timm/ecaresnet101d.miil_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet101d.miil_in1k/input_tensor_constraints.py b/samples/timm/ecaresnet101d.miil_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet101d.miil_in1k/model.py b/samples/timm/ecaresnet101d.miil_in1k/model.py
new file mode 100644
index 000000000..fdef3cf18
--- /dev/null
+++ b/samples/timm/ecaresnet101d.miil_in1k/model.py
@@ -0,0 +1,6160 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_4_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_4_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_6_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv1_modules_0_parameters_weight_ = (
+            L_self_modules_conv1_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_conv1_modules_1_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_1_buffers_running_var_ = (
+            L_self_modules_conv1_modules_1_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_1_parameters_weight_ = (
+            L_self_modules_conv1_modules_1_parameters_weight_
+        )
+        l_self_modules_conv1_modules_1_parameters_bias_ = (
+            L_self_modules_conv1_modules_1_parameters_bias_
+        )
+        l_self_modules_conv1_modules_3_parameters_weight_ = (
+            L_self_modules_conv1_modules_3_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_4_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_var_ = (
+            L_self_modules_conv1_modules_4_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_4_parameters_weight_ = (
+            L_self_modules_conv1_modules_4_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_parameters_bias_ = (
+            L_self_modules_conv1_modules_4_parameters_bias_
+        )
+        l_self_modules_conv1_modules_6_parameters_weight_ = (
+            L_self_modules_conv1_modules_6_parameters_weight_
+        )
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_conv1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv1_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_conv1_modules_1_buffers_running_mean_,
+            l_self_modules_conv1_modules_1_buffers_running_var_,
+            l_self_modules_conv1_modules_1_parameters_weight_,
+            l_self_modules_conv1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_conv1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_1_parameters_weight_
+        ) = l_self_modules_conv1_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_conv1_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_conv1_modules_3_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_conv1_modules_4_buffers_running_mean_,
+            l_self_modules_conv1_modules_4_buffers_running_var_,
+            l_self_modules_conv1_modules_4_parameters_weight_,
+            l_self_modules_conv1_modules_4_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_conv1_modules_4_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_4_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_4_parameters_weight_
+        ) = l_self_modules_conv1_modules_4_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_conv1_modules_6_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_conv1_modules_6_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_1 = torch.nn.functional.relu(x, inplace=True)
+        x = None
+        x_2 = torch.nn.functional.max_pool2d(
+            x_1, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None
+        mean = x_10.mean((2, 3))
+        sym_sum = torch.sym_sum([-1, s1])
+        s1 = None
+        floordiv = sym_sum // 4
+        sym_sum_1 = torch.sym_sum([1, floordiv])
+        floordiv = sym_sum_1 = None
+        y = mean.view(1, 1, -1)
+        mean = None
+        y_1 = torch.conv1d(
+            y,
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y = (
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid = y_1.sigmoid()
+        y_1 = None
+        y_2 = sigmoid.view(1, -1, 1, 1)
+        sigmoid = None
+        expand_as = y_2.expand_as(x_10)
+        y_2 = None
+        x_11 = x_10 * expand_as
+        x_10 = expand_as = None
+        input_8 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_9 = torch.nn.functional.batch_norm(
+            input_8,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_8 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_11 += input_9
+        x_12 = x_11
+        x_11 = input_9 = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None
+        mean_1 = x_21.mean((2, 3))
+        y_3 = mean_1.view(1, 1, -1)
+        mean_1 = None
+        y_4 = torch.conv1d(
+            y_3,
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_3 = (
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_1 = y_4.sigmoid()
+        y_4 = None
+        y_5 = sigmoid_1.view(1, -1, 1, 1)
+        sigmoid_1 = None
+        expand_as_1 = y_5.expand_as(x_21)
+        y_5 = None
+        x_22 = x_21 * expand_as_1
+        x_21 = expand_as_1 = None
+        x_22 += x_13
+        x_23 = x_22
+        x_22 = x_13 = None
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = None
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None
+        mean_2 = x_32.mean((2, 3))
+        y_6 = mean_2.view(1, 1, -1)
+        mean_2 = None
+        y_7 = torch.conv1d(
+            y_6,
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_6 = (
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_2 = y_7.sigmoid()
+        y_7 = None
+        y_8 = sigmoid_2.view(1, -1, 1, 1)
+        sigmoid_2 = None
+        expand_as_2 = y_8.expand_as(x_32)
+        y_8 = None
+        x_33 = x_32 * expand_as_2
+        x_32 = expand_as_2 = None
+        x_33 += x_24
+        x_34 = x_33
+        x_33 = x_24 = None
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None
+        mean_3 = x_43.mean((2, 3))
+        floordiv_1 = sym_sum // 8
+        sym_sum_2 = torch.sym_sum([1, floordiv_1])
+        floordiv_1 = sym_sum_2 = None
+        y_9 = mean_3.view(1, 1, -1)
+        mean_3 = None
+        y_10 = torch.conv1d(
+            y_9,
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_9 = (
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_3 = y_10.sigmoid()
+        y_10 = None
+        y_11 = sigmoid_3.view(1, -1, 1, 1)
+        sigmoid_3 = None
+        expand_as_3 = y_11.expand_as(x_43)
+        y_11 = None
+        x_44 = x_43 * expand_as_3
+        x_43 = expand_as_3 = None
+        input_10 = torch._C._nn.avg_pool2d(x_35, 2, 2, 0, True, False, None)
+        x_35 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_10 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_12 = torch.nn.functional.batch_norm(
+            input_11,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_11 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_44 += input_12
+        x_45 = x_44
+        x_44 = input_12 = None
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None
+        x_49 = torch.nn.functional.relu(x_48, inplace=True)
+        x_48 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None
+        mean_4 = x_54.mean((2, 3))
+        y_12 = mean_4.view(1, 1, -1)
+        mean_4 = None
+        y_13 = torch.conv1d(
+            y_12,
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_12 = (
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_4 = y_13.sigmoid()
+        y_13 = None
+        y_14 = sigmoid_4.view(1, -1, 1, 1)
+        sigmoid_4 = None
+        expand_as_4 = y_14.expand_as(x_54)
+        y_14 = None
+        x_55 = x_54 * expand_as_4
+        x_54 = expand_as_4 = None
+        x_55 += x_46
+        x_56 = x_55
+        x_55 = x_46 = None
+        x_57 = torch.nn.functional.relu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = None
+        x_63 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None
+        mean_5 = x_65.mean((2, 3))
+        y_15 = mean_5.view(1, 1, -1)
+        mean_5 = None
+        y_16 = torch.conv1d(
+            y_15,
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_15 = (
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_5 = y_16.sigmoid()
+        y_16 = None
+        y_17 = sigmoid_5.view(1, -1, 1, 1)
+        sigmoid_5 = None
+        expand_as_5 = y_17.expand_as(x_65)
+        y_17 = None
+        x_66 = x_65 * expand_as_5
+        x_65 = expand_as_5 = None
+        x_66 += x_57
+        x_67 = x_66
+        x_66 = x_57 = None
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None
+        x_71 = torch.nn.functional.relu(x_70, inplace=True)
+        x_70 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_71 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = None
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None
+        mean_6 = x_76.mean((2, 3))
+        y_18 = mean_6.view(1, 1, -1)
+        mean_6 = None
+        y_19 = torch.conv1d(
+            y_18,
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_18 = (
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_6 = y_19.sigmoid()
+        y_19 = None
+        y_20 = sigmoid_6.view(1, -1, 1, 1)
+        sigmoid_6 = None
+        expand_as_6 = y_20.expand_as(x_76)
+        y_20 = None
+        x_77 = x_76 * expand_as_6
+        x_76 = expand_as_6 = None
+        x_77 += x_68
+        x_78 = x_77
+        x_77 = x_68 = None
+        x_79 = torch.nn.functional.relu(x_78, inplace=True)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None
+        x_85 = torch.nn.functional.relu(x_84, inplace=True)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None
+        mean_7 = x_87.mean((2, 3))
+        floordiv_2 = sym_sum // 16
+        sym_sum_3 = torch.sym_sum([1, floordiv_2])
+        floordiv_2 = sym_sum_3 = None
+        y_21 = mean_7.view(1, 1, -1)
+        mean_7 = None
+        y_22 = torch.conv1d(
+            y_21,
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_21 = (
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_7 = y_22.sigmoid()
+        y_22 = None
+        y_23 = sigmoid_7.view(1, -1, 1, 1)
+        sigmoid_7 = None
+        expand_as_7 = y_23.expand_as(x_87)
+        y_23 = None
+        x_88 = x_87 * expand_as_7
+        x_87 = expand_as_7 = None
+        input_13 = torch._C._nn.avg_pool2d(x_79, 2, 2, 0, True, False, None)
+        x_79 = None
+        input_14 = torch.conv2d(
+            input_13,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_13 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_88 += input_15
+        x_89 = x_88
+        x_88 = input_15 = None
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None
+        x_93 = torch.nn.functional.relu(x_92, inplace=True)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None
+        mean_8 = x_98.mean((2, 3))
+        y_24 = mean_8.view(1, 1, -1)
+        mean_8 = None
+        y_25 = torch.conv1d(
+            y_24,
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_24 = (
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_8 = y_25.sigmoid()
+        y_25 = None
+        y_26 = sigmoid_8.view(1, -1, 1, 1)
+        sigmoid_8 = None
+        expand_as_8 = y_26.expand_as(x_98)
+        y_26 = None
+        x_99 = x_98 * expand_as_8
+        x_98 = expand_as_8 = None
+        x_99 += x_90
+        x_100 = x_99
+        x_99 = x_90 = None
+        x_101 = torch.nn.functional.relu(x_100, inplace=True)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None
+        x_107 = torch.nn.functional.relu(x_106, inplace=True)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None
+        mean_9 = x_109.mean((2, 3))
+        y_27 = mean_9.view(1, 1, -1)
+        mean_9 = None
+        y_28 = torch.conv1d(
+            y_27,
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_27 = (
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_9 = y_28.sigmoid()
+        y_28 = None
+        y_29 = sigmoid_9.view(1, -1, 1, 1)
+        sigmoid_9 = None
+        expand_as_9 = y_29.expand_as(x_109)
+        y_29 = None
+        x_110 = x_109 * expand_as_9
+        x_109 = expand_as_9 = None
+        x_110 += x_101
+        x_111 = x_110
+        x_110 = x_101 = None
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None
+        x_115 = torch.nn.functional.relu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_115 = l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None
+        mean_10 = x_120.mean((2, 3))
+        y_30 = mean_10.view(1, 1, -1)
+        mean_10 = None
+        y_31 = torch.conv1d(
+            y_30,
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_30 = (
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_10 = y_31.sigmoid()
+        y_31 = None
+        y_32 = sigmoid_10.view(1, -1, 1, 1)
+        sigmoid_10 = None
+        expand_as_10 = y_32.expand_as(x_120)
+        y_32 = None
+        x_121 = x_120 * expand_as_10
+        x_120 = expand_as_10 = None
+        x_121 += x_112
+        x_122 = x_121
+        x_121 = x_112 = None
+        x_123 = torch.nn.functional.relu(x_122, inplace=True)
+        x_122 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None
+        x_129 = torch.nn.functional.relu(x_128, inplace=True)
+        x_128 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_129 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None
+        mean_11 = x_131.mean((2, 3))
+        y_33 = mean_11.view(1, 1, -1)
+        mean_11 = None
+        y_34 = torch.conv1d(
+            y_33,
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_33 = (
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_11 = y_34.sigmoid()
+        y_34 = None
+        y_35 = sigmoid_11.view(1, -1, 1, 1)
+        sigmoid_11 = None
+        expand_as_11 = y_35.expand_as(x_131)
+        y_35 = None
+        x_132 = x_131 * expand_as_11
+        x_131 = expand_as_11 = None
+        x_132 += x_123
+        x_133 = x_132
+        x_132 = x_123 = None
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None
+        x_137 = torch.nn.functional.relu(x_136, inplace=True)
+        x_136 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_137 = l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = None
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None
+        mean_12 = x_142.mean((2, 3))
+        y_36 = mean_12.view(1, 1, -1)
+        mean_12 = None
+        y_37 = torch.conv1d(
+            y_36,
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_36 = (
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_12 = y_37.sigmoid()
+        y_37 = None
+        y_38 = sigmoid_12.view(1, -1, 1, 1)
+        sigmoid_12 = None
+        expand_as_12 = y_38.expand_as(x_142)
+        y_38 = None
+        x_143 = x_142 * expand_as_12
+        x_142 = expand_as_12 = None
+        x_143 += x_134
+        x_144 = x_143
+        x_143 = x_134 = None
+        x_145 = torch.nn.functional.relu(x_144, inplace=True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = None
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ = None
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = None
+        x_151 = torch.nn.functional.relu(x_150, inplace=True)
+        x_150 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = None
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = None
+        mean_13 = x_153.mean((2, 3))
+        y_39 = mean_13.view(1, 1, -1)
+        mean_13 = None
+        y_40 = torch.conv1d(
+            y_39,
+            l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_39 = (
+            l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_13 = y_40.sigmoid()
+        y_40 = None
+        y_41 = sigmoid_13.view(1, -1, 1, 1)
+        sigmoid_13 = None
+        expand_as_13 = y_41.expand_as(x_153)
+        y_41 = None
+        x_154 = x_153 * expand_as_13
+        x_153 = expand_as_13 = None
+        x_154 += x_145
+        x_155 = x_154
+        x_154 = x_145 = None
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = None
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = (
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = None
+        x_159 = torch.nn.functional.relu(x_158, inplace=True)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ = None
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = None
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = None
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = None
+        mean_14 = x_164.mean((2, 3))
+        y_42 = mean_14.view(1, 1, -1)
+        mean_14 = None
+        y_43 = torch.conv1d(
+            y_42,
+            l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_42 = (
+            l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_14 = y_43.sigmoid()
+        y_43 = None
+        y_44 = sigmoid_14.view(1, -1, 1, 1)
+        sigmoid_14 = None
+        expand_as_14 = y_44.expand_as(x_164)
+        y_44 = None
+        x_165 = x_164 * expand_as_14
+        x_164 = expand_as_14 = None
+        x_165 += x_156
+        x_166 = x_165
+        x_165 = x_156 = None
+        x_167 = torch.nn.functional.relu(x_166, inplace=True)
+        x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = None
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = (
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = None
+        x_170 = torch.nn.functional.relu(x_169, inplace=True)
+        x_169 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_170 = l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ = None
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = (
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = None
+        x_173 = torch.nn.functional.relu(x_172, inplace=True)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = None
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = (
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = None
+        mean_15 = x_175.mean((2, 3))
+        y_45 = mean_15.view(1, 1, -1)
+        mean_15 = None
+        y_46 = torch.conv1d(
+            y_45,
+            l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_45 = (
+            l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_15 = y_46.sigmoid()
+        y_46 = None
+        y_47 = sigmoid_15.view(1, -1, 1, 1)
+        sigmoid_15 = None
+        expand_as_15 = y_47.expand_as(x_175)
+        y_47 = None
+        x_176 = x_175 * expand_as_15
+        x_175 = expand_as_15 = None
+        x_176 += x_167
+        x_177 = x_176
+        x_176 = x_167 = None
+        x_178 = torch.nn.functional.relu(x_177, inplace=True)
+        x_177 = None
+        x_179 = torch.conv2d(
+            x_178,
+            l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = None
+        x_180 = torch.nn.functional.batch_norm(
+            x_179,
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_179 = (
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = None
+        x_181 = torch.nn.functional.relu(x_180, inplace=True)
+        x_180 = None
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_181 = l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ = None
+        x_183 = torch.nn.functional.batch_norm(
+            x_182,
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_182 = (
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = None
+        x_184 = torch.nn.functional.relu(x_183, inplace=True)
+        x_183 = None
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_184 = l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = None
+        x_186 = torch.nn.functional.batch_norm(
+            x_185,
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_185 = (
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = None
+        mean_16 = x_186.mean((2, 3))
+        y_48 = mean_16.view(1, 1, -1)
+        mean_16 = None
+        y_49 = torch.conv1d(
+            y_48,
+            l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_48 = (
+            l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_16 = y_49.sigmoid()
+        y_49 = None
+        y_50 = sigmoid_16.view(1, -1, 1, 1)
+        sigmoid_16 = None
+        expand_as_16 = y_50.expand_as(x_186)
+        y_50 = None
+        x_187 = x_186 * expand_as_16
+        x_186 = expand_as_16 = None
+        x_187 += x_178
+        x_188 = x_187
+        x_187 = x_178 = None
+        x_189 = torch.nn.functional.relu(x_188, inplace=True)
+        x_188 = None
+        x_190 = torch.conv2d(
+            x_189,
+            l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = None
+        x_191 = torch.nn.functional.batch_norm(
+            x_190,
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_190 = (
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = None
+        x_192 = torch.nn.functional.relu(x_191, inplace=True)
+        x_191 = None
+        x_193 = torch.conv2d(
+            x_192,
+            l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_192 = l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ = None
+        x_194 = torch.nn.functional.batch_norm(
+            x_193,
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_193 = (
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = None
+        x_195 = torch.nn.functional.relu(x_194, inplace=True)
+        x_194 = None
+        x_196 = torch.conv2d(
+            x_195,
+            l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_195 = l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = None
+        x_197 = torch.nn.functional.batch_norm(
+            x_196,
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_196 = (
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = None
+        mean_17 = x_197.mean((2, 3))
+        y_51 = mean_17.view(1, 1, -1)
+        mean_17 = None
+        y_52 = torch.conv1d(
+            y_51,
+            l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_51 = (
+            l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_17 = y_52.sigmoid()
+        y_52 = None
+        y_53 = sigmoid_17.view(1, -1, 1, 1)
+        sigmoid_17 = None
+        expand_as_17 = y_53.expand_as(x_197)
+        y_53 = None
+        x_198 = x_197 * expand_as_17
+        x_197 = expand_as_17 = None
+        x_198 += x_189
+        x_199 = x_198
+        x_198 = x_189 = None
+        x_200 = torch.nn.functional.relu(x_199, inplace=True)
+        x_199 = None
+        x_201 = torch.conv2d(
+            x_200,
+            l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = None
+        x_202 = torch.nn.functional.batch_norm(
+            x_201,
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_201 = (
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = None
+        x_203 = torch.nn.functional.relu(x_202, inplace=True)
+        x_202 = None
+        x_204 = torch.conv2d(
+            x_203,
+            l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_203 = l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ = None
+        x_205 = torch.nn.functional.batch_norm(
+            x_204,
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_204 = (
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ = None
+        x_206 = torch.nn.functional.relu(x_205, inplace=True)
+        x_205 = None
+        x_207 = torch.conv2d(
+            x_206,
+            l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_206 = l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ = None
+        x_208 = torch.nn.functional.batch_norm(
+            x_207,
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_207 = (
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = None
+        mean_18 = x_208.mean((2, 3))
+        y_54 = mean_18.view(1, 1, -1)
+        mean_18 = None
+        y_55 = torch.conv1d(
+            y_54,
+            l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_54 = (
+            l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_18 = y_55.sigmoid()
+        y_55 = None
+        y_56 = sigmoid_18.view(1, -1, 1, 1)
+        sigmoid_18 = None
+        expand_as_18 = y_56.expand_as(x_208)
+        y_56 = None
+        x_209 = x_208 * expand_as_18
+        x_208 = expand_as_18 = None
+        x_209 += x_200
+        x_210 = x_209
+        x_209 = x_200 = None
+        x_211 = torch.nn.functional.relu(x_210, inplace=True)
+        x_210 = None
+        x_212 = torch.conv2d(
+            x_211,
+            l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = None
+        x_213 = torch.nn.functional.batch_norm(
+            x_212,
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_212 = (
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = None
+        x_214 = torch.nn.functional.relu(x_213, inplace=True)
+        x_213 = None
+        x_215 = torch.conv2d(
+            x_214,
+            l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_214 = l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ = None
+        x_216 = torch.nn.functional.batch_norm(
+            x_215,
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_215 = (
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ = None
+        x_217 = torch.nn.functional.relu(x_216, inplace=True)
+        x_216 = None
+        x_218 = torch.conv2d(
+            x_217,
+            l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_217 = l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ = None
+        x_219 = torch.nn.functional.batch_norm(
+            x_218,
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_218 = (
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = None
+        mean_19 = x_219.mean((2, 3))
+        y_57 = mean_19.view(1, 1, -1)
+        mean_19 = None
+        y_58 = torch.conv1d(
+            y_57,
+            l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_57 = (
+            l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_19 = y_58.sigmoid()
+        y_58 = None
+        y_59 = sigmoid_19.view(1, -1, 1, 1)
+        sigmoid_19 = None
+        expand_as_19 = y_59.expand_as(x_219)
+        y_59 = None
+        x_220 = x_219 * expand_as_19
+        x_219 = expand_as_19 = None
+        x_220 += x_211
+        x_221 = x_220
+        x_220 = x_211 = None
+        x_222 = torch.nn.functional.relu(x_221, inplace=True)
+        x_221 = None
+        x_223 = torch.conv2d(
+            x_222,
+            l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = None
+        x_224 = torch.nn.functional.batch_norm(
+            x_223,
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_223 = (
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = None
+        x_225 = torch.nn.functional.relu(x_224, inplace=True)
+        x_224 = None
+        x_226 = torch.conv2d(
+            x_225,
+            l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_225 = l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ = None
+        x_227 = torch.nn.functional.batch_norm(
+            x_226,
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_226 = (
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ = None
+        x_228 = torch.nn.functional.relu(x_227, inplace=True)
+        x_227 = None
+        x_229 = torch.conv2d(
+            x_228,
+            l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_228 = l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ = None
+        x_230 = torch.nn.functional.batch_norm(
+            x_229,
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_229 = (
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = None
+        mean_20 = x_230.mean((2, 3))
+        y_60 = mean_20.view(1, 1, -1)
+        mean_20 = None
+        y_61 = torch.conv1d(
+            y_60,
+            l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_60 = (
+            l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_20 = y_61.sigmoid()
+        y_61 = None
+        y_62 = sigmoid_20.view(1, -1, 1, 1)
+        sigmoid_20 = None
+        expand_as_20 = y_62.expand_as(x_230)
+        y_62 = None
+        x_231 = x_230 * expand_as_20
+        x_230 = expand_as_20 = None
+        x_231 += x_222
+        x_232 = x_231
+        x_231 = x_222 = None
+        x_233 = torch.nn.functional.relu(x_232, inplace=True)
+        x_232 = None
+        x_234 = torch.conv2d(
+            x_233,
+            l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = None
+        x_235 = torch.nn.functional.batch_norm(
+            x_234,
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_234 = (
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = None
+        x_236 = torch.nn.functional.relu(x_235, inplace=True)
+        x_235 = None
+        x_237 = torch.conv2d(
+            x_236,
+            l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_236 = l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ = None
+        x_238 = torch.nn.functional.batch_norm(
+            x_237,
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_237 = (
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ = None
+        x_239 = torch.nn.functional.relu(x_238, inplace=True)
+        x_238 = None
+        x_240 = torch.conv2d(
+            x_239,
+            l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_239 = l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ = None
+        x_241 = torch.nn.functional.batch_norm(
+            x_240,
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_240 = (
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = None
+        mean_21 = x_241.mean((2, 3))
+        y_63 = mean_21.view(1, 1, -1)
+        mean_21 = None
+        y_64 = torch.conv1d(
+            y_63,
+            l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_63 = (
+            l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_21 = y_64.sigmoid()
+        y_64 = None
+        y_65 = sigmoid_21.view(1, -1, 1, 1)
+        sigmoid_21 = None
+        expand_as_21 = y_65.expand_as(x_241)
+        y_65 = None
+        x_242 = x_241 * expand_as_21
+        x_241 = expand_as_21 = None
+        x_242 += x_233
+        x_243 = x_242
+        x_242 = x_233 = None
+        x_244 = torch.nn.functional.relu(x_243, inplace=True)
+        x_243 = None
+        x_245 = torch.conv2d(
+            x_244,
+            l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = None
+        x_246 = torch.nn.functional.batch_norm(
+            x_245,
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_245 = (
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = None
+        x_247 = torch.nn.functional.relu(x_246, inplace=True)
+        x_246 = None
+        x_248 = torch.conv2d(
+            x_247,
+            l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_247 = l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ = None
+        x_249 = torch.nn.functional.batch_norm(
+            x_248,
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_248 = (
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ = None
+        x_250 = torch.nn.functional.relu(x_249, inplace=True)
+        x_249 = None
+        x_251 = torch.conv2d(
+            x_250,
+            l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_250 = l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ = None
+        x_252 = torch.nn.functional.batch_norm(
+            x_251,
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_251 = (
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = None
+        mean_22 = x_252.mean((2, 3))
+        y_66 = mean_22.view(1, 1, -1)
+        mean_22 = None
+        y_67 = torch.conv1d(
+            y_66,
+            l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_66 = (
+            l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_22 = y_67.sigmoid()
+        y_67 = None
+        y_68 = sigmoid_22.view(1, -1, 1, 1)
+        sigmoid_22 = None
+        expand_as_22 = y_68.expand_as(x_252)
+        y_68 = None
+        x_253 = x_252 * expand_as_22
+        x_252 = expand_as_22 = None
+        x_253 += x_244
+        x_254 = x_253
+        x_253 = x_244 = None
+        x_255 = torch.nn.functional.relu(x_254, inplace=True)
+        x_254 = None
+        x_256 = torch.conv2d(
+            x_255,
+            l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = None
+        x_257 = torch.nn.functional.batch_norm(
+            x_256,
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_256 = (
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = None
+        x_258 = torch.nn.functional.relu(x_257, inplace=True)
+        x_257 = None
+        x_259 = torch.conv2d(
+            x_258,
+            l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_258 = l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ = None
+        x_260 = torch.nn.functional.batch_norm(
+            x_259,
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_259 = (
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ = None
+        x_261 = torch.nn.functional.relu(x_260, inplace=True)
+        x_260 = None
+        x_262 = torch.conv2d(
+            x_261,
+            l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_261 = l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ = None
+        x_263 = torch.nn.functional.batch_norm(
+            x_262,
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_262 = (
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = None
+        mean_23 = x_263.mean((2, 3))
+        y_69 = mean_23.view(1, 1, -1)
+        mean_23 = None
+        y_70 = torch.conv1d(
+            y_69,
+            l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_69 = (
+            l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_23 = y_70.sigmoid()
+        y_70 = None
+        y_71 = sigmoid_23.view(1, -1, 1, 1)
+        sigmoid_23 = None
+        expand_as_23 = y_71.expand_as(x_263)
+        y_71 = None
+        x_264 = x_263 * expand_as_23
+        x_263 = expand_as_23 = None
+        x_264 += x_255
+        x_265 = x_264
+        x_264 = x_255 = None
+        x_266 = torch.nn.functional.relu(x_265, inplace=True)
+        x_265 = None
+        x_267 = torch.conv2d(
+            x_266,
+            l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = None
+        x_268 = torch.nn.functional.batch_norm(
+            x_267,
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_267 = (
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = None
+        x_269 = torch.nn.functional.relu(x_268, inplace=True)
+        x_268 = None
+        x_270 = torch.conv2d(
+            x_269,
+            l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_269 = l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ = None
+        x_271 = torch.nn.functional.batch_norm(
+            x_270,
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_270 = (
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ = None
+        x_272 = torch.nn.functional.relu(x_271, inplace=True)
+        x_271 = None
+        x_273 = torch.conv2d(
+            x_272,
+            l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_272 = l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ = None
+        x_274 = torch.nn.functional.batch_norm(
+            x_273,
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_273 = (
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = None
+        mean_24 = x_274.mean((2, 3))
+        y_72 = mean_24.view(1, 1, -1)
+        mean_24 = None
+        y_73 = torch.conv1d(
+            y_72,
+            l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_72 = (
+            l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_24 = y_73.sigmoid()
+        y_73 = None
+        y_74 = sigmoid_24.view(1, -1, 1, 1)
+        sigmoid_24 = None
+        expand_as_24 = y_74.expand_as(x_274)
+        y_74 = None
+        x_275 = x_274 * expand_as_24
+        x_274 = expand_as_24 = None
+        x_275 += x_266
+        x_276 = x_275
+        x_275 = x_266 = None
+        x_277 = torch.nn.functional.relu(x_276, inplace=True)
+        x_276 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = None
+        x_279 = torch.nn.functional.batch_norm(
+            x_278,
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_278 = (
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = None
+        x_280 = torch.nn.functional.relu(x_279, inplace=True)
+        x_279 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_280 = l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ = None
+        x_282 = torch.nn.functional.batch_norm(
+            x_281,
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_281 = (
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ = None
+        x_283 = torch.nn.functional.relu(x_282, inplace=True)
+        x_282 = None
+        x_284 = torch.conv2d(
+            x_283,
+            l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_283 = l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ = None
+        x_285 = torch.nn.functional.batch_norm(
+            x_284,
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_284 = (
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = None
+        mean_25 = x_285.mean((2, 3))
+        y_75 = mean_25.view(1, 1, -1)
+        mean_25 = None
+        y_76 = torch.conv1d(
+            y_75,
+            l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_75 = (
+            l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_25 = y_76.sigmoid()
+        y_76 = None
+        y_77 = sigmoid_25.view(1, -1, 1, 1)
+        sigmoid_25 = None
+        expand_as_25 = y_77.expand_as(x_285)
+        y_77 = None
+        x_286 = x_285 * expand_as_25
+        x_285 = expand_as_25 = None
+        x_286 += x_277
+        x_287 = x_286
+        x_286 = x_277 = None
+        x_288 = torch.nn.functional.relu(x_287, inplace=True)
+        x_287 = None
+        x_289 = torch.conv2d(
+            x_288,
+            l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = None
+        x_290 = torch.nn.functional.batch_norm(
+            x_289,
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_289 = (
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = None
+        x_291 = torch.nn.functional.relu(x_290, inplace=True)
+        x_290 = None
+        x_292 = torch.conv2d(
+            x_291,
+            l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_291 = l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ = None
+        x_293 = torch.nn.functional.batch_norm(
+            x_292,
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_292 = (
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ = None
+        x_294 = torch.nn.functional.relu(x_293, inplace=True)
+        x_293 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ = None
+        x_296 = torch.nn.functional.batch_norm(
+            x_295,
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_295 = (
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = None
+        mean_26 = x_296.mean((2, 3))
+        y_78 = mean_26.view(1, 1, -1)
+        mean_26 = None
+        y_79 = torch.conv1d(
+            y_78,
+            l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_78 = (
+            l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_26 = y_79.sigmoid()
+        y_79 = None
+        y_80 = sigmoid_26.view(1, -1, 1, 1)
+        sigmoid_26 = None
+        expand_as_26 = y_80.expand_as(x_296)
+        y_80 = None
+        x_297 = x_296 * expand_as_26
+        x_296 = expand_as_26 = None
+        x_297 += x_288
+        x_298 = x_297
+        x_297 = x_288 = None
+        x_299 = torch.nn.functional.relu(x_298, inplace=True)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = None
+        x_301 = torch.nn.functional.batch_norm(
+            x_300,
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_300 = (
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = None
+        x_302 = torch.nn.functional.relu(x_301, inplace=True)
+        x_301 = None
+        x_303 = torch.conv2d(
+            x_302,
+            l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_302 = l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ = None
+        x_304 = torch.nn.functional.batch_norm(
+            x_303,
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_303 = (
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ = None
+        x_305 = torch.nn.functional.relu(x_304, inplace=True)
+        x_304 = None
+        x_306 = torch.conv2d(
+            x_305,
+            l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_305 = l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ = None
+        x_307 = torch.nn.functional.batch_norm(
+            x_306,
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_306 = (
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = None
+        mean_27 = x_307.mean((2, 3))
+        y_81 = mean_27.view(1, 1, -1)
+        mean_27 = None
+        y_82 = torch.conv1d(
+            y_81,
+            l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_81 = (
+            l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_27 = y_82.sigmoid()
+        y_82 = None
+        y_83 = sigmoid_27.view(1, -1, 1, 1)
+        sigmoid_27 = None
+        expand_as_27 = y_83.expand_as(x_307)
+        y_83 = None
+        x_308 = x_307 * expand_as_27
+        x_307 = expand_as_27 = None
+        x_308 += x_299
+        x_309 = x_308
+        x_308 = x_299 = None
+        x_310 = torch.nn.functional.relu(x_309, inplace=True)
+        x_309 = None
+        x_311 = torch.conv2d(
+            x_310,
+            l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = None
+        x_312 = torch.nn.functional.batch_norm(
+            x_311,
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_311 = (
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = None
+        x_313 = torch.nn.functional.relu(x_312, inplace=True)
+        x_312 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ = None
+        x_315 = torch.nn.functional.batch_norm(
+            x_314,
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_314 = (
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ = None
+        x_316 = torch.nn.functional.relu(x_315, inplace=True)
+        x_315 = None
+        x_317 = torch.conv2d(
+            x_316,
+            l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_316 = l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ = None
+        x_318 = torch.nn.functional.batch_norm(
+            x_317,
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_317 = (
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = None
+        mean_28 = x_318.mean((2, 3))
+        y_84 = mean_28.view(1, 1, -1)
+        mean_28 = None
+        y_85 = torch.conv1d(
+            y_84,
+            l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_84 = (
+            l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_28 = y_85.sigmoid()
+        y_85 = None
+        y_86 = sigmoid_28.view(1, -1, 1, 1)
+        sigmoid_28 = None
+        expand_as_28 = y_86.expand_as(x_318)
+        y_86 = None
+        x_319 = x_318 * expand_as_28
+        x_318 = expand_as_28 = None
+        x_319 += x_310
+        x_320 = x_319
+        x_319 = x_310 = None
+        x_321 = torch.nn.functional.relu(x_320, inplace=True)
+        x_320 = None
+        x_322 = torch.conv2d(
+            x_321,
+            l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = None
+        x_323 = torch.nn.functional.batch_norm(
+            x_322,
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_322 = (
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = None
+        x_324 = torch.nn.functional.relu(x_323, inplace=True)
+        x_323 = None
+        x_325 = torch.conv2d(
+            x_324,
+            l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_324 = l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ = None
+        x_326 = torch.nn.functional.batch_norm(
+            x_325,
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_325 = (
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ = None
+        x_327 = torch.nn.functional.relu(x_326, inplace=True)
+        x_326 = None
+        x_328 = torch.conv2d(
+            x_327,
+            l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_327 = l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ = None
+        x_329 = torch.nn.functional.batch_norm(
+            x_328,
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_328 = (
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = None
+        mean_29 = x_329.mean((2, 3))
+        y_87 = mean_29.view(1, 1, -1)
+        mean_29 = None
+        y_88 = torch.conv1d(
+            y_87,
+            l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_87 = (
+            l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_29 = y_88.sigmoid()
+        y_88 = None
+        y_89 = sigmoid_29.view(1, -1, 1, 1)
+        sigmoid_29 = None
+        expand_as_29 = y_89.expand_as(x_329)
+        y_89 = None
+        x_330 = x_329 * expand_as_29
+        x_329 = expand_as_29 = None
+        x_330 += x_321
+        x_331 = x_330
+        x_330 = x_321 = None
+        x_332 = torch.nn.functional.relu(x_331, inplace=True)
+        x_331 = None
+        x_333 = torch.conv2d(
+            x_332,
+            l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None
+        x_334 = torch.nn.functional.batch_norm(
+            x_333,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_333 = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None
+        x_335 = torch.nn.functional.relu(x_334, inplace=True)
+        x_334 = None
+        x_336 = torch.conv2d(
+            x_335,
+            l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_335 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None
+        x_337 = torch.nn.functional.batch_norm(
+            x_336,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_336 = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None
+        x_338 = torch.nn.functional.relu(x_337, inplace=True)
+        x_337 = None
+        x_339 = torch.conv2d(
+            x_338,
+            l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_338 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None
+        x_340 = torch.nn.functional.batch_norm(
+            x_339,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_339 = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None
+        mean_30 = x_340.mean((2, 3))
+        floordiv_3 = sym_sum // 32
+        sym_sum = None
+        sym_sum_4 = torch.sym_sum([1, floordiv_3])
+        floordiv_3 = sym_sum_4 = None
+        y_90 = mean_30.view(1, 1, -1)
+        mean_30 = None
+        y_91 = torch.conv1d(
+            y_90,
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_90 = (
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_30 = y_91.sigmoid()
+        y_91 = None
+        y_92 = sigmoid_30.view(1, -1, 1, 1)
+        sigmoid_30 = None
+        expand_as_30 = y_92.expand_as(x_340)
+        y_92 = None
+        x_341 = x_340 * expand_as_30
+        x_340 = expand_as_30 = None
+        input_16 = torch._C._nn.avg_pool2d(x_332, 2, 2, 0, True, False, None)
+        x_332 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_16 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_341 += input_18
+        x_342 = x_341
+        x_341 = input_18 = None
+        x_343 = torch.nn.functional.relu(x_342, inplace=True)
+        x_342 = None
+        x_344 = torch.conv2d(
+            x_343,
+            l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None
+        x_345 = torch.nn.functional.batch_norm(
+            x_344,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_344 = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None
+        x_346 = torch.nn.functional.relu(x_345, inplace=True)
+        x_345 = None
+        x_347 = torch.conv2d(
+            x_346,
+            l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_346 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None
+        x_348 = torch.nn.functional.batch_norm(
+            x_347,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_347 = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None
+        x_349 = torch.nn.functional.relu(x_348, inplace=True)
+        x_348 = None
+        x_350 = torch.conv2d(
+            x_349,
+            l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_349 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None
+        x_351 = torch.nn.functional.batch_norm(
+            x_350,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_350 = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None
+        mean_31 = x_351.mean((2, 3))
+        y_93 = mean_31.view(1, 1, -1)
+        mean_31 = None
+        y_94 = torch.conv1d(
+            y_93,
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_93 = (
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_31 = y_94.sigmoid()
+        y_94 = None
+        y_95 = sigmoid_31.view(1, -1, 1, 1)
+        sigmoid_31 = None
+        expand_as_31 = y_95.expand_as(x_351)
+        y_95 = None
+        x_352 = x_351 * expand_as_31
+        x_351 = expand_as_31 = None
+        x_352 += x_343
+        x_353 = x_352
+        x_352 = x_343 = None
+        x_354 = torch.nn.functional.relu(x_353, inplace=True)
+        x_353 = None
+        x_355 = torch.conv2d(
+            x_354,
+            l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None
+        x_356 = torch.nn.functional.batch_norm(
+            x_355,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_355 = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None
+        x_357 = torch.nn.functional.relu(x_356, inplace=True)
+        x_356 = None
+        x_358 = torch.conv2d(
+            x_357,
+            l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_357 = l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = None
+        x_359 = torch.nn.functional.batch_norm(
+            x_358,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_358 = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None
+        x_360 = torch.nn.functional.relu(x_359, inplace=True)
+        x_359 = None
+        x_361 = torch.conv2d(
+            x_360,
+            l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_360 = l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = None
+        x_362 = torch.nn.functional.batch_norm(
+            x_361,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_361 = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None
+        mean_32 = x_362.mean((2, 3))
+        y_96 = mean_32.view(1, 1, -1)
+        mean_32 = None
+        y_97 = torch.conv1d(
+            y_96,
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_96 = (
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_32 = y_97.sigmoid()
+        y_97 = None
+        y_98 = sigmoid_32.view(1, -1, 1, 1)
+        sigmoid_32 = None
+        expand_as_32 = y_98.expand_as(x_362)
+        y_98 = None
+        x_363 = x_362 * expand_as_32
+        x_362 = expand_as_32 = None
+        x_363 += x_354
+        x_364 = x_363
+        x_363 = x_354 = None
+        x_365 = torch.nn.functional.relu(x_364, inplace=True)
+        x_364 = None
+        x_366 = torch.nn.functional.adaptive_avg_pool2d(x_365, 1)
+        x_365 = None
+        x_367 = x_366.flatten(1, -1)
+        x_366 = None
+        x_368 = torch._C._nn.linear(
+            x_367,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+        )
+        x_367 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        return (x_368,)
diff --git a/samples/timm/ecaresnet101d.miil_in1k/weight_meta.py b/samples/timm/ecaresnet101d.miil_in1k/weight_meta.py
new file mode 100644
index 000000000..239fc3653
--- /dev/null
+++ b/samples/timm/ecaresnet101d.miil_in1k/weight_meta.py
@@ -0,0 +1,5676 @@
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_0_parameters_weight_:
+    name = "L_self_modules_conv1_modules_0_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.230
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_:
+    name = "L_self_modules_conv1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_:
+    name = "L_self_modules_conv1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_:
+    name = "L_self_modules_conv1_modules_3_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_weight_:
+    name = "L_self_modules_conv1_modules_4_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_bias_:
+    name = "L_self_modules_conv1_modules_4_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_6_parameters_weight_:
+    name = "L_self_modules_conv1_modules_6_parameters_weight_"
+    shape = [64, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.104
+    std = 0.260
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.111
+    std = 0.240
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.180
+    std = 0.186
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.125
+    std = 0.266
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.276
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.058
+    std = 0.229
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.044
+    std = 0.239
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.134
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.115
+    std = 0.121
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.099
+    std = 0.302
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.207
+    std = 0.301
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.077
+    std = 0.270
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.242
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.184
+    std = 0.182
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.034
+    std = 0.217
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.254
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.020
+    std = 0.269
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.116
+    std = 0.349
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.111
+    std = 0.349
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.051
+    std = 0.264
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.136
+    std = 0.188
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.036
+    std = 0.373
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.061
+    std = 0.277
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.094
+    std = 0.292
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.094
+    std = 0.398
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.197
+    std = 0.239
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.169
+    std = 0.148
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.013
+    std = 0.243
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.041
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.059
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.026
+    std = 0.222
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.030
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.206
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_hash.txt b/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_hash.txt
new file mode 100644
index 000000000..5c0f56c8b
--- /dev/null
+++ b/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_hash.txt
@@ -0,0 +1 @@
+6ef0bffa6130658a15bf508257429acb37effe9212c69a0154f3760db59300b2
\ No newline at end of file
diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_net.json b/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/input_meta.py b/samples/timm/ecaresnet101d_pruned.miil_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/input_tensor_constraints.py b/samples/timm/ecaresnet101d_pruned.miil_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/model.py b/samples/timm/ecaresnet101d_pruned.miil_in1k/model.py
new file mode 100644
index 000000000..fdef3cf18
--- /dev/null
+++ b/samples/timm/ecaresnet101d_pruned.miil_in1k/model.py
@@ -0,0 +1,6160 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_4_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_4_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_6_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv1_modules_0_parameters_weight_ = (
+            L_self_modules_conv1_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_conv1_modules_1_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_1_buffers_running_var_ = (
+            L_self_modules_conv1_modules_1_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_1_parameters_weight_ = (
+            L_self_modules_conv1_modules_1_parameters_weight_
+        )
+        l_self_modules_conv1_modules_1_parameters_bias_ = (
+            L_self_modules_conv1_modules_1_parameters_bias_
+        )
+        l_self_modules_conv1_modules_3_parameters_weight_ = (
+            L_self_modules_conv1_modules_3_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_4_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_var_ = (
+            L_self_modules_conv1_modules_4_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_4_parameters_weight_ = (
+            L_self_modules_conv1_modules_4_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_parameters_bias_ = (
+            L_self_modules_conv1_modules_4_parameters_bias_
+        )
+        l_self_modules_conv1_modules_6_parameters_weight_ = (
+            L_self_modules_conv1_modules_6_parameters_weight_
+        )
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_conv1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv1_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_conv1_modules_1_buffers_running_mean_,
+            l_self_modules_conv1_modules_1_buffers_running_var_,
+            l_self_modules_conv1_modules_1_parameters_weight_,
+            l_self_modules_conv1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_conv1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_1_parameters_weight_
+        ) = l_self_modules_conv1_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_conv1_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_conv1_modules_3_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_conv1_modules_4_buffers_running_mean_,
+            l_self_modules_conv1_modules_4_buffers_running_var_,
+            l_self_modules_conv1_modules_4_parameters_weight_,
+            l_self_modules_conv1_modules_4_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_conv1_modules_4_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_4_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_4_parameters_weight_
+        ) = l_self_modules_conv1_modules_4_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_conv1_modules_6_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_conv1_modules_6_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_1 = torch.nn.functional.relu(x, inplace=True)
+        x = None
+        x_2 = torch.nn.functional.max_pool2d(
+            x_1, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None
+        mean = x_10.mean((2, 3))
+        sym_sum = torch.sym_sum([-1, s1])
+        s1 = None
+        floordiv = sym_sum // 4
+        sym_sum_1 = torch.sym_sum([1, floordiv])
+        floordiv = sym_sum_1 = None
+        y = mean.view(1, 1, -1)
+        mean = None
+        y_1 = torch.conv1d(
+            y,
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y = (
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid = y_1.sigmoid()
+        y_1 = None
+        y_2 = sigmoid.view(1, -1, 1, 1)
+        sigmoid = None
+        expand_as = y_2.expand_as(x_10)
+        y_2 = None
+        x_11 = x_10 * expand_as
+        x_10 = expand_as = None
+        input_8 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_9 = torch.nn.functional.batch_norm(
+            input_8,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_8 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_11 += input_9
+        x_12 = x_11
+        x_11 = input_9 = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None
+        mean_1 = x_21.mean((2, 3))
+        y_3 = mean_1.view(1, 1, -1)
+        mean_1 = None
+        y_4 = torch.conv1d(
+            y_3,
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_3 = (
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_1 = y_4.sigmoid()
+        y_4 = None
+        y_5 = sigmoid_1.view(1, -1, 1, 1)
+        sigmoid_1 = None
+        expand_as_1 = y_5.expand_as(x_21)
+        y_5 = None
+        x_22 = x_21 * expand_as_1
+        x_21 = expand_as_1 = None
+        x_22 += x_13
+        x_23 = x_22
+        x_22 = x_13 = None
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = None
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None
+        mean_2 = x_32.mean((2, 3))
+        y_6 = mean_2.view(1, 1, -1)
+        mean_2 = None
+        y_7 = torch.conv1d(
+            y_6,
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_6 = (
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_2 = y_7.sigmoid()
+        y_7 = None
+        y_8 = sigmoid_2.view(1, -1, 1, 1)
+        sigmoid_2 = None
+        expand_as_2 = y_8.expand_as(x_32)
+        y_8 = None
+        x_33 = x_32 * expand_as_2
+        x_32 = expand_as_2 = None
+        x_33 += x_24
+        x_34 = x_33
+        x_33 = x_24 = None
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None
+        mean_3 = x_43.mean((2, 3))
+        floordiv_1 = sym_sum // 8
+        sym_sum_2 = torch.sym_sum([1, floordiv_1])
+        floordiv_1 = sym_sum_2 = None
+        y_9 = mean_3.view(1, 1, -1)
+        mean_3 = None
+        y_10 = torch.conv1d(
+            y_9,
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_9 = (
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_3 = y_10.sigmoid()
+        y_10 = None
+        y_11 = sigmoid_3.view(1, -1, 1, 1)
+        sigmoid_3 = None
+        expand_as_3 = y_11.expand_as(x_43)
+        y_11 = None
+        x_44 = x_43 * expand_as_3
+        x_43 = expand_as_3 = None
+        input_10 = torch._C._nn.avg_pool2d(x_35, 2, 2, 0, True, False, None)
+        x_35 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_10 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_12 = torch.nn.functional.batch_norm(
+            input_11,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_11 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_44 += input_12
+        x_45 = x_44
+        x_44 = input_12 = None
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None
+        x_49 = torch.nn.functional.relu(x_48, inplace=True)
+        x_48 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None
+        mean_4 = x_54.mean((2, 3))
+        y_12 = mean_4.view(1, 1, -1)
+        mean_4 = None
+        y_13 = torch.conv1d(
+            y_12,
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_12 = (
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_4 = y_13.sigmoid()
+        y_13 = None
+        y_14 = sigmoid_4.view(1, -1, 1, 1)
+        sigmoid_4 = None
+        expand_as_4 = y_14.expand_as(x_54)
+        y_14 = None
+        x_55 = x_54 * expand_as_4
+        x_54 = expand_as_4 = None
+        x_55 += x_46
+        x_56 = x_55
+        x_55 = x_46 = None
+        x_57 = torch.nn.functional.relu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = None
+        x_63 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None
+        mean_5 = x_65.mean((2, 3))
+        y_15 = mean_5.view(1, 1, -1)
+        mean_5 = None
+        y_16 = torch.conv1d(
+            y_15,
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_15 = (
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_5 = y_16.sigmoid()
+        y_16 = None
+        y_17 = sigmoid_5.view(1, -1, 1, 1)
+        sigmoid_5 = None
+        expand_as_5 = y_17.expand_as(x_65)
+        y_17 = None
+        x_66 = x_65 * expand_as_5
+        x_65 = expand_as_5 = None
+        x_66 += x_57
+        x_67 = x_66
+        x_66 = x_57 = None
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None
+        x_71 = torch.nn.functional.relu(x_70, inplace=True)
+        x_70 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_71 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = None
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None
+        mean_6 = x_76.mean((2, 3))
+        y_18 = mean_6.view(1, 1, -1)
+        mean_6 = None
+        y_19 = torch.conv1d(
+            y_18,
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_18 = (
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_6 = y_19.sigmoid()
+        y_19 = None
+        y_20 = sigmoid_6.view(1, -1, 1, 1)
+        sigmoid_6 = None
+        expand_as_6 = y_20.expand_as(x_76)
+        y_20 = None
+        x_77 = x_76 * expand_as_6
+        x_76 = expand_as_6 = None
+        x_77 += x_68
+        x_78 = x_77
+        x_77 = x_68 = None
+        x_79 = torch.nn.functional.relu(x_78, inplace=True)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None
+        x_85 = torch.nn.functional.relu(x_84, inplace=True)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None
+        mean_7 = x_87.mean((2, 3))
+        floordiv_2 = sym_sum // 16
+        sym_sum_3 = torch.sym_sum([1, floordiv_2])
+        floordiv_2 = sym_sum_3 = None
+        y_21 = mean_7.view(1, 1, -1)
+        mean_7 = None
+        y_22 = torch.conv1d(
+            y_21,
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_21 = (
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_7 = y_22.sigmoid()
+        y_22 = None
+        y_23 = sigmoid_7.view(1, -1, 1, 1)
+        sigmoid_7 = None
+        expand_as_7 = y_23.expand_as(x_87)
+        y_23 = None
+        x_88 = x_87 * expand_as_7
+        x_87 = expand_as_7 = None
+        input_13 = torch._C._nn.avg_pool2d(x_79, 2, 2, 0, True, False, None)
+        x_79 = None
+        input_14 = torch.conv2d(
+            input_13,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_13 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_88 += input_15
+        x_89 = x_88
+        x_88 = input_15 = None
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None
+        x_93 = torch.nn.functional.relu(x_92, inplace=True)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None
+        mean_8 = x_98.mean((2, 3))
+        y_24 = mean_8.view(1, 1, -1)
+        mean_8 = None
+        y_25 = torch.conv1d(
+            y_24,
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_24 = (
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_8 = y_25.sigmoid()
+        y_25 = None
+        y_26 = sigmoid_8.view(1, -1, 1, 1)
+        sigmoid_8 = None
+        expand_as_8 = y_26.expand_as(x_98)
+        y_26 = None
+        x_99 = x_98 * expand_as_8
+        x_98 = expand_as_8 = None
+        x_99 += x_90
+        x_100 = x_99
+        x_99 = x_90 = None
+        x_101 = torch.nn.functional.relu(x_100, inplace=True)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None
+        x_107 = torch.nn.functional.relu(x_106, inplace=True)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None
+        mean_9 = x_109.mean((2, 3))
+        y_27 = mean_9.view(1, 1, -1)
+        mean_9 = None
+        y_28 = torch.conv1d(
+            y_27,
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_27 = (
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_9 = y_28.sigmoid()
+        y_28 = None
+        y_29 = sigmoid_9.view(1, -1, 1, 1)
+        sigmoid_9 = None
+        expand_as_9 = y_29.expand_as(x_109)
+        y_29 = None
+        x_110 = x_109 * expand_as_9
+        x_109 = expand_as_9 = None
+        x_110 += x_101
+        x_111 = x_110
+        x_110 = x_101 = None
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None
+        x_115 = torch.nn.functional.relu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_115 = l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None
+        mean_10 = x_120.mean((2, 3))
+        y_30 = mean_10.view(1, 1, -1)
+        mean_10 = None
+        y_31 = torch.conv1d(
+            y_30,
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_30 = (
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_10 = y_31.sigmoid()
+        y_31 = None
+        y_32 = sigmoid_10.view(1, -1, 1, 1)
+        sigmoid_10 = None
+        expand_as_10 = y_32.expand_as(x_120)
+        y_32 = None
+        x_121 = x_120 * expand_as_10
+        x_120 = expand_as_10 = None
+        x_121 += x_112
+        x_122 = x_121
+        x_121 = x_112 = None
+        x_123 = torch.nn.functional.relu(x_122, inplace=True)
+        x_122 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None
+        x_129 = torch.nn.functional.relu(x_128, inplace=True)
+        x_128 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_129 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None
+        mean_11 = x_131.mean((2, 3))
+        y_33 = mean_11.view(1, 1, -1)
+        mean_11 = None
+        y_34 = torch.conv1d(
+            y_33,
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_33 = (
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_11 = y_34.sigmoid()
+        y_34 = None
+        y_35 = sigmoid_11.view(1, -1, 1, 1)
+        sigmoid_11 = None
+        expand_as_11 = y_35.expand_as(x_131)
+        y_35 = None
+        x_132 = x_131 * expand_as_11
+        x_131 = expand_as_11 = None
+        x_132 += x_123
+        x_133 = x_132
+        x_132 = x_123 = None
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None
+        x_137 = torch.nn.functional.relu(x_136, inplace=True)
+        x_136 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_137 = l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = None
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None
+        mean_12 = x_142.mean((2, 3))
+        y_36 = mean_12.view(1, 1, -1)
+        mean_12 = None
+        y_37 = torch.conv1d(
+            y_36,
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_36 = (
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_12 = y_37.sigmoid()
+        y_37 = None
+        y_38 = sigmoid_12.view(1, -1, 1, 1)
+        sigmoid_12 = None
+        expand_as_12 = y_38.expand_as(x_142)
+        y_38 = None
+        x_143 = x_142 * expand_as_12
+        x_142 = expand_as_12 = None
+        x_143 += x_134
+        x_144 = x_143
+        x_143 = x_134 = None
+        x_145 = torch.nn.functional.relu(x_144, inplace=True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = None
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ = None
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = None
+        x_151 = torch.nn.functional.relu(x_150, inplace=True)
+        x_150 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = None
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = None
+        mean_13 = x_153.mean((2, 3))
+        y_39 = mean_13.view(1, 1, -1)
+        mean_13 = None
+        y_40 = torch.conv1d(
+            y_39,
+            l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_39 = (
+            l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_13 = y_40.sigmoid()
+        y_40 = None
+        y_41 = sigmoid_13.view(1, -1, 1, 1)
+        sigmoid_13 = None
+        expand_as_13 = y_41.expand_as(x_153)
+        y_41 = None
+        x_154 = x_153 * expand_as_13
+        x_153 = expand_as_13 = None
+        x_154 += x_145
+        x_155 = x_154
+        x_154 = x_145 = None
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = None
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = (
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = None
+        x_159 = torch.nn.functional.relu(x_158, inplace=True)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ = None
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = None
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = None
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = None
+        mean_14 = x_164.mean((2, 3))
+        y_42 = mean_14.view(1, 1, -1)
+        mean_14 = None
+        y_43 = torch.conv1d(
+            y_42,
+            l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_42 = (
+            l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_14 = y_43.sigmoid()
+        y_43 = None
+        y_44 = sigmoid_14.view(1, -1, 1, 1)
+        sigmoid_14 = None
+        expand_as_14 = y_44.expand_as(x_164)
+        y_44 = None
+        x_165 = x_164 * expand_as_14
+        x_164 = expand_as_14 = None
+        x_165 += x_156
+        x_166 = x_165
+        x_165 = x_156 = None
+        x_167 = torch.nn.functional.relu(x_166, inplace=True)
+        x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = None
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = (
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = None
+        x_170 = torch.nn.functional.relu(x_169, inplace=True)
+        x_169 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_170 = l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ = None
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = (
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = None
+        x_173 = torch.nn.functional.relu(x_172, inplace=True)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = None
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = (
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = None
+        mean_15 = x_175.mean((2, 3))
+        y_45 = mean_15.view(1, 1, -1)
+        mean_15 = None
+        y_46 = torch.conv1d(
+            y_45,
+            l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_45 = (
+            l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_15 = y_46.sigmoid()
+        y_46 = None
+        y_47 = sigmoid_15.view(1, -1, 1, 1)
+        sigmoid_15 = None
+        expand_as_15 = y_47.expand_as(x_175)
+        y_47 = None
+        x_176 = x_175 * expand_as_15
+        x_175 = expand_as_15 = None
+        x_176 += x_167
+        x_177 = x_176
+        x_176 = x_167 = None
+        x_178 = torch.nn.functional.relu(x_177, inplace=True)
+        x_177 = None
+        x_179 = torch.conv2d(
+            x_178,
+            l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = None
+        x_180 = torch.nn.functional.batch_norm(
+            x_179,
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_179 = (
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = None
+        x_181 = torch.nn.functional.relu(x_180, inplace=True)
+        x_180 = None
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_181 = l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ = None
+        x_183 = torch.nn.functional.batch_norm(
+            x_182,
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_182 = (
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = None
+        x_184 = torch.nn.functional.relu(x_183, inplace=True)
+        x_183 = None
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_184 = l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = None
+        x_186 = torch.nn.functional.batch_norm(
+            x_185,
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_185 = (
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = None
+        mean_16 = x_186.mean((2, 3))
+        y_48 = mean_16.view(1, 1, -1)
+        mean_16 = None
+        y_49 = torch.conv1d(
+            y_48,
+            l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_48 = (
+            l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_16 = y_49.sigmoid()
+        y_49 = None
+        y_50 = sigmoid_16.view(1, -1, 1, 1)
+        sigmoid_16 = None
+        expand_as_16 = y_50.expand_as(x_186)
+        y_50 = None
+        x_187 = x_186 * expand_as_16
+        x_186 = expand_as_16 = None
+        x_187 += x_178
+        x_188 = x_187
+        x_187 = x_178 = None
+        x_189 = torch.nn.functional.relu(x_188, inplace=True)
+        x_188 = None
+        x_190 = torch.conv2d(
+            x_189,
+            l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = None
+        x_191 = torch.nn.functional.batch_norm(
+            x_190,
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_190 = (
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = None
+        x_192 = torch.nn.functional.relu(x_191, inplace=True)
+        x_191 = None
+        x_193 = torch.conv2d(
+            x_192,
+            l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_192 = l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ = None
+        x_194 = torch.nn.functional.batch_norm(
+            x_193,
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_193 = (
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = None
+        x_195 = torch.nn.functional.relu(x_194, inplace=True)
+        x_194 = None
+        x_196 = torch.conv2d(
+            x_195,
+            l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_195 = l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = None
+        x_197 = torch.nn.functional.batch_norm(
+            x_196,
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_196 = (
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = None
+        mean_17 = x_197.mean((2, 3))
+        y_51 = mean_17.view(1, 1, -1)
+        mean_17 = None
+        y_52 = torch.conv1d(
+            y_51,
+            l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_51 = (
+            l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_17 = y_52.sigmoid()
+        y_52 = None
+        y_53 = sigmoid_17.view(1, -1, 1, 1)
+        sigmoid_17 = None
+        expand_as_17 = y_53.expand_as(x_197)
+        y_53 = None
+        x_198 = x_197 * expand_as_17
+        x_197 = expand_as_17 = None
+        x_198 += x_189
+        x_199 = x_198
+        x_198 = x_189 = None
+        x_200 = torch.nn.functional.relu(x_199, inplace=True)
+        x_199 = None
+        x_201 = torch.conv2d(
+            x_200,
+            l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = None
+        x_202 = torch.nn.functional.batch_norm(
+            x_201,
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_201 = (
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = None
+        x_203 = torch.nn.functional.relu(x_202, inplace=True)
+        x_202 = None
+        x_204 = torch.conv2d(
+            x_203,
+            l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_203 = l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ = None
+        x_205 = torch.nn.functional.batch_norm(
+            x_204,
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_204 = (
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ = None
+        x_206 = torch.nn.functional.relu(x_205, inplace=True)
+        x_205 = None
+        x_207 = torch.conv2d(
+            x_206,
+            l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_206 = l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ = None
+        x_208 = torch.nn.functional.batch_norm(
+            x_207,
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_207 = (
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = None
+        mean_18 = x_208.mean((2, 3))
+        y_54 = mean_18.view(1, 1, -1)
+        mean_18 = None
+        y_55 = torch.conv1d(
+            y_54,
+            l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_54 = (
+            l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_18 = y_55.sigmoid()
+        y_55 = None
+        y_56 = sigmoid_18.view(1, -1, 1, 1)
+        sigmoid_18 = None
+        expand_as_18 = y_56.expand_as(x_208)
+        y_56 = None
+        x_209 = x_208 * expand_as_18
+        x_208 = expand_as_18 = None
+        x_209 += x_200
+        x_210 = x_209
+        x_209 = x_200 = None
+        x_211 = torch.nn.functional.relu(x_210, inplace=True)
+        x_210 = None
+        x_212 = torch.conv2d(
+            x_211,
+            l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = None
+        x_213 = torch.nn.functional.batch_norm(
+            x_212,
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_212 = (
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = None
+        x_214 = torch.nn.functional.relu(x_213, inplace=True)
+        x_213 = None
+        x_215 = torch.conv2d(
+            x_214,
+            l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_214 = l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ = None
+        x_216 = torch.nn.functional.batch_norm(
+            x_215,
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_215 = (
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ = None
+        x_217 = torch.nn.functional.relu(x_216, inplace=True)
+        x_216 = None
+        x_218 = torch.conv2d(
+            x_217,
+            l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_217 = l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ = None
+        x_219 = torch.nn.functional.batch_norm(
+            x_218,
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_218 = (
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = None
+        mean_19 = x_219.mean((2, 3))
+        y_57 = mean_19.view(1, 1, -1)
+        mean_19 = None
+        y_58 = torch.conv1d(
+            y_57,
+            l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_57 = (
+            l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_19 = y_58.sigmoid()
+        y_58 = None
+        y_59 = sigmoid_19.view(1, -1, 1, 1)
+        sigmoid_19 = None
+        expand_as_19 = y_59.expand_as(x_219)
+        y_59 = None
+        x_220 = x_219 * expand_as_19
+        x_219 = expand_as_19 = None
+        x_220 += x_211
+        x_221 = x_220
+        x_220 = x_211 = None
+        x_222 = torch.nn.functional.relu(x_221, inplace=True)
+        x_221 = None
+        x_223 = torch.conv2d(
+            x_222,
+            l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = None
+        x_224 = torch.nn.functional.batch_norm(
+            x_223,
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_223 = (
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = None
+        x_225 = torch.nn.functional.relu(x_224, inplace=True)
+        x_224 = None
+        x_226 = torch.conv2d(
+            x_225,
+            l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_225 = l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ = None
+        x_227 = torch.nn.functional.batch_norm(
+            x_226,
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_226 = (
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ = None
+        x_228 = torch.nn.functional.relu(x_227, inplace=True)
+        x_227 = None
+        x_229 = torch.conv2d(
+            x_228,
+            l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_228 = l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ = None
+        x_230 = torch.nn.functional.batch_norm(
+            x_229,
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_229 = (
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = None
+        mean_20 = x_230.mean((2, 3))
+        y_60 = mean_20.view(1, 1, -1)
+        mean_20 = None
+        y_61 = torch.conv1d(
+            y_60,
+            l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_60 = (
+            l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_20 = y_61.sigmoid()
+        y_61 = None
+        y_62 = sigmoid_20.view(1, -1, 1, 1)
+        sigmoid_20 = None
+        expand_as_20 = y_62.expand_as(x_230)
+        y_62 = None
+        x_231 = x_230 * expand_as_20
+        x_230 = expand_as_20 = None
+        x_231 += x_222
+        x_232 = x_231
+        x_231 = x_222 = None
+        x_233 = torch.nn.functional.relu(x_232, inplace=True)
+        x_232 = None
+        x_234 = torch.conv2d(
+            x_233,
+            l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = None
+        x_235 = torch.nn.functional.batch_norm(
+            x_234,
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_234 = (
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = None
+        x_236 = torch.nn.functional.relu(x_235, inplace=True)
+        x_235 = None
+        x_237 = torch.conv2d(
+            x_236,
+            l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_236 = l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ = None
+        x_238 = torch.nn.functional.batch_norm(
+            x_237,
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_237 = (
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ = None
+        x_239 = torch.nn.functional.relu(x_238, inplace=True)
+        x_238 = None
+        x_240 = torch.conv2d(
+            x_239,
+            l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_239 = l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ = None
+        x_241 = torch.nn.functional.batch_norm(
+            x_240,
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_240 = (
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = None
+        mean_21 = x_241.mean((2, 3))
+        y_63 = mean_21.view(1, 1, -1)
+        mean_21 = None
+        y_64 = torch.conv1d(
+            y_63,
+            l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_63 = (
+            l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_21 = y_64.sigmoid()
+        y_64 = None
+        y_65 = sigmoid_21.view(1, -1, 1, 1)
+        sigmoid_21 = None
+        expand_as_21 = y_65.expand_as(x_241)
+        y_65 = None
+        x_242 = x_241 * expand_as_21
+        x_241 = expand_as_21 = None
+        x_242 += x_233
+        x_243 = x_242
+        x_242 = x_233 = None
+        x_244 = torch.nn.functional.relu(x_243, inplace=True)
+        x_243 = None
+        x_245 = torch.conv2d(
+            x_244,
+            l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = None
+        x_246 = torch.nn.functional.batch_norm(
+            x_245,
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_245 = (
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = None
+        x_247 = torch.nn.functional.relu(x_246, inplace=True)
+        x_246 = None
+        x_248 = torch.conv2d(
+            x_247,
+            l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_247 = l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ = None
+        x_249 = torch.nn.functional.batch_norm(
+            x_248,
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_248 = (
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ = None
+        x_250 = torch.nn.functional.relu(x_249, inplace=True)
+        x_249 = None
+        x_251 = torch.conv2d(
+            x_250,
+            l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_250 = l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ = None
+        x_252 = torch.nn.functional.batch_norm(
+            x_251,
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_251 = (
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = None
+        mean_22 = x_252.mean((2, 3))
+        y_66 = mean_22.view(1, 1, -1)
+        mean_22 = None
+        y_67 = torch.conv1d(
+            y_66,
+            l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_66 = (
+            l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_22 = y_67.sigmoid()
+        y_67 = None
+        y_68 = sigmoid_22.view(1, -1, 1, 1)
+        sigmoid_22 = None
+        expand_as_22 = y_68.expand_as(x_252)
+        y_68 = None
+        x_253 = x_252 * expand_as_22
+        x_252 = expand_as_22 = None
+        x_253 += x_244
+        x_254 = x_253
+        x_253 = x_244 = None
+        x_255 = torch.nn.functional.relu(x_254, inplace=True)
+        x_254 = None
+        x_256 = torch.conv2d(
+            x_255,
+            l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = None
+        x_257 = torch.nn.functional.batch_norm(
+            x_256,
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_256 = (
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = None
+        x_258 = torch.nn.functional.relu(x_257, inplace=True)
+        x_257 = None
+        x_259 = torch.conv2d(
+            x_258,
+            l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_258 = l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ = None
+        x_260 = torch.nn.functional.batch_norm(
+            x_259,
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_259 = (
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ = None
+        x_261 = torch.nn.functional.relu(x_260, inplace=True)
+        x_260 = None
+        x_262 = torch.conv2d(
+            x_261,
+            l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_261 = l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ = None
+        x_263 = torch.nn.functional.batch_norm(
+            x_262,
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_262 = (
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = None
+        mean_23 = x_263.mean((2, 3))
+        y_69 = mean_23.view(1, 1, -1)
+        mean_23 = None
+        y_70 = torch.conv1d(
+            y_69,
+            l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_69 = (
+            l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_23 = y_70.sigmoid()
+        y_70 = None
+        y_71 = sigmoid_23.view(1, -1, 1, 1)
+        sigmoid_23 = None
+        expand_as_23 = y_71.expand_as(x_263)
+        y_71 = None
+        x_264 = x_263 * expand_as_23
+        x_263 = expand_as_23 = None
+        x_264 += x_255
+        x_265 = x_264
+        x_264 = x_255 = None
+        x_266 = torch.nn.functional.relu(x_265, inplace=True)
+        x_265 = None
+        x_267 = torch.conv2d(
+            x_266,
+            l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = None
+        x_268 = torch.nn.functional.batch_norm(
+            x_267,
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_267 = (
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = None
+        x_269 = torch.nn.functional.relu(x_268, inplace=True)
+        x_268 = None
+        x_270 = torch.conv2d(
+            x_269,
+            l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_269 = l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ = None
+        x_271 = torch.nn.functional.batch_norm(
+            x_270,
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_270 = (
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ = None
+        x_272 = torch.nn.functional.relu(x_271, inplace=True)
+        x_271 = None
+        x_273 = torch.conv2d(
+            x_272,
+            l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_272 = l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ = None
+        x_274 = torch.nn.functional.batch_norm(
+            x_273,
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_273 = (
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = None
+        mean_24 = x_274.mean((2, 3))
+        y_72 = mean_24.view(1, 1, -1)
+        mean_24 = None
+        y_73 = torch.conv1d(
+            y_72,
+            l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_72 = (
+            l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_24 = y_73.sigmoid()
+        y_73 = None
+        y_74 = sigmoid_24.view(1, -1, 1, 1)
+        sigmoid_24 = None
+        expand_as_24 = y_74.expand_as(x_274)
+        y_74 = None
+        x_275 = x_274 * expand_as_24
+        x_274 = expand_as_24 = None
+        x_275 += x_266
+        x_276 = x_275
+        x_275 = x_266 = None
+        x_277 = torch.nn.functional.relu(x_276, inplace=True)
+        x_276 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = None
+        x_279 = torch.nn.functional.batch_norm(
+            x_278,
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_278 = (
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = None
+        x_280 = torch.nn.functional.relu(x_279, inplace=True)
+        x_279 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_280 = l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ = None
+        x_282 = torch.nn.functional.batch_norm(
+            x_281,
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_281 = (
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ = None
+        x_283 = torch.nn.functional.relu(x_282, inplace=True)
+        x_282 = None
+        x_284 = torch.conv2d(
+            x_283,
+            l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_283 = l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ = None
+        x_285 = torch.nn.functional.batch_norm(
+            x_284,
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_284 = (
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = None
+        mean_25 = x_285.mean((2, 3))
+        y_75 = mean_25.view(1, 1, -1)
+        mean_25 = None
+        y_76 = torch.conv1d(
+            y_75,
+            l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_75 = (
+            l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_25 = y_76.sigmoid()
+        y_76 = None
+        y_77 = sigmoid_25.view(1, -1, 1, 1)
+        sigmoid_25 = None
+        expand_as_25 = y_77.expand_as(x_285)
+        y_77 = None
+        x_286 = x_285 * expand_as_25
+        x_285 = expand_as_25 = None
+        x_286 += x_277
+        x_287 = x_286
+        x_286 = x_277 = None
+        x_288 = torch.nn.functional.relu(x_287, inplace=True)
+        x_287 = None
+        x_289 = torch.conv2d(
+            x_288,
+            l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = None
+        x_290 = torch.nn.functional.batch_norm(
+            x_289,
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_289 = (
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = None
+        x_291 = torch.nn.functional.relu(x_290, inplace=True)
+        x_290 = None
+        x_292 = torch.conv2d(
+            x_291,
+            l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_291 = l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ = None
+        x_293 = torch.nn.functional.batch_norm(
+            x_292,
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_292 = (
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ = None
+        x_294 = torch.nn.functional.relu(x_293, inplace=True)
+        x_293 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ = None
+        x_296 = torch.nn.functional.batch_norm(
+            x_295,
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_295 = (
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = None
+        mean_26 = x_296.mean((2, 3))
+        y_78 = mean_26.view(1, 1, -1)
+        mean_26 = None
+        y_79 = torch.conv1d(
+            y_78,
+            l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_78 = (
+            l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_26 = y_79.sigmoid()
+        y_79 = None
+        y_80 = sigmoid_26.view(1, -1, 1, 1)
+        sigmoid_26 = None
+        expand_as_26 = y_80.expand_as(x_296)
+        y_80 = None
+        x_297 = x_296 * expand_as_26
+        x_296 = expand_as_26 = None
+        x_297 += x_288
+        x_298 = x_297
+        x_297 = x_288 = None
+        x_299 = torch.nn.functional.relu(x_298, inplace=True)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = None
+        x_301 = torch.nn.functional.batch_norm(
+            x_300,
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_300 = (
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = None
+        x_302 = torch.nn.functional.relu(x_301, inplace=True)
+        x_301 = None
+        x_303 = torch.conv2d(
+            x_302,
+            l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_302 = l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ = None
+        x_304 = torch.nn.functional.batch_norm(
+            x_303,
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_303 = (
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ = None
+        x_305 = torch.nn.functional.relu(x_304, inplace=True)
+        x_304 = None
+        x_306 = torch.conv2d(
+            x_305,
+            l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_305 = l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ = None
+        x_307 = torch.nn.functional.batch_norm(
+            x_306,
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_306 = (
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = None
+        mean_27 = x_307.mean((2, 3))
+        y_81 = mean_27.view(1, 1, -1)
+        mean_27 = None
+        y_82 = torch.conv1d(
+            y_81,
+            l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_81 = (
+            l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_27 = y_82.sigmoid()
+        y_82 = None
+        y_83 = sigmoid_27.view(1, -1, 1, 1)
+        sigmoid_27 = None
+        expand_as_27 = y_83.expand_as(x_307)
+        y_83 = None
+        x_308 = x_307 * expand_as_27
+        x_307 = expand_as_27 = None
+        x_308 += x_299
+        x_309 = x_308
+        x_308 = x_299 = None
+        x_310 = torch.nn.functional.relu(x_309, inplace=True)
+        x_309 = None
+        x_311 = torch.conv2d(
+            x_310,
+            l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = None
+        x_312 = torch.nn.functional.batch_norm(
+            x_311,
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_311 = (
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = None
+        x_313 = torch.nn.functional.relu(x_312, inplace=True)
+        x_312 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ = None
+        x_315 = torch.nn.functional.batch_norm(
+            x_314,
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_314 = (
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ = None
+        x_316 = torch.nn.functional.relu(x_315, inplace=True)
+        x_315 = None
+        x_317 = torch.conv2d(
+            x_316,
+            l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_316 = l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ = None
+        x_318 = torch.nn.functional.batch_norm(
+            x_317,
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_317 = (
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = None
+        mean_28 = x_318.mean((2, 3))
+        y_84 = mean_28.view(1, 1, -1)
+        mean_28 = None
+        y_85 = torch.conv1d(
+            y_84,
+            l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_84 = (
+            l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_28 = y_85.sigmoid()
+        y_85 = None
+        y_86 = sigmoid_28.view(1, -1, 1, 1)
+        sigmoid_28 = None
+        expand_as_28 = y_86.expand_as(x_318)
+        y_86 = None
+        x_319 = x_318 * expand_as_28
+        x_318 = expand_as_28 = None
+        x_319 += x_310
+        x_320 = x_319
+        x_319 = x_310 = None
+        x_321 = torch.nn.functional.relu(x_320, inplace=True)
+        x_320 = None
+        x_322 = torch.conv2d(
+            x_321,
+            l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = None
+        x_323 = torch.nn.functional.batch_norm(
+            x_322,
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_322 = (
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = None
+        x_324 = torch.nn.functional.relu(x_323, inplace=True)
+        x_323 = None
+        x_325 = torch.conv2d(
+            x_324,
+            l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_324 = l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ = None
+        x_326 = torch.nn.functional.batch_norm(
+            x_325,
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_325 = (
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ = None
+        x_327 = torch.nn.functional.relu(x_326, inplace=True)
+        x_326 = None
+        x_328 = torch.conv2d(
+            x_327,
+            l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_327 = l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ = None
+        x_329 = torch.nn.functional.batch_norm(
+            x_328,
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_328 = (
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = None
+        mean_29 = x_329.mean((2, 3))
+        y_87 = mean_29.view(1, 1, -1)
+        mean_29 = None
+        y_88 = torch.conv1d(
+            y_87,
+            l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_87 = (
+            l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_29 = y_88.sigmoid()
+        y_88 = None
+        y_89 = sigmoid_29.view(1, -1, 1, 1)
+        sigmoid_29 = None
+        expand_as_29 = y_89.expand_as(x_329)
+        y_89 = None
+        x_330 = x_329 * expand_as_29
+        x_329 = expand_as_29 = None
+        x_330 += x_321
+        x_331 = x_330
+        x_330 = x_321 = None
+        x_332 = torch.nn.functional.relu(x_331, inplace=True)
+        x_331 = None
+        x_333 = torch.conv2d(
+            x_332,
+            l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None
+        x_334 = torch.nn.functional.batch_norm(
+            x_333,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_333 = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None
+        x_335 = torch.nn.functional.relu(x_334, inplace=True)
+        x_334 = None
+        x_336 = torch.conv2d(
+            x_335,
+            l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_335 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None
+        x_337 = torch.nn.functional.batch_norm(
+            x_336,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_336 = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None
+        x_338 = torch.nn.functional.relu(x_337, inplace=True)
+        x_337 = None
+        x_339 = torch.conv2d(
+            x_338,
+            l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_338 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None
+        x_340 = torch.nn.functional.batch_norm(
+            x_339,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_339 = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None
+        mean_30 = x_340.mean((2, 3))
+        floordiv_3 = sym_sum // 32
+        sym_sum = None
+        sym_sum_4 = torch.sym_sum([1, floordiv_3])
+        floordiv_3 = sym_sum_4 = None
+        y_90 = mean_30.view(1, 1, -1)
+        mean_30 = None
+        y_91 = torch.conv1d(
+            y_90,
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_90 = (
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_30 = y_91.sigmoid()
+        y_91 = None
+        y_92 = sigmoid_30.view(1, -1, 1, 1)
+        sigmoid_30 = None
+        expand_as_30 = y_92.expand_as(x_340)
+        y_92 = None
+        x_341 = x_340 * expand_as_30
+        x_340 = expand_as_30 = None
+        input_16 = torch._C._nn.avg_pool2d(x_332, 2, 2, 0, True, False, None)
+        x_332 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_16 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_341 += input_18
+        x_342 = x_341
+        x_341 = input_18 = None
+        x_343 = torch.nn.functional.relu(x_342, inplace=True)
+        x_342 = None
+        x_344 = torch.conv2d(
+            x_343,
+            l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None
+        x_345 = torch.nn.functional.batch_norm(
+            x_344,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_344 = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None
+        x_346 = torch.nn.functional.relu(x_345, inplace=True)
+        x_345 = None
+        x_347 = torch.conv2d(
+            x_346,
+            l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_346 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None
+        x_348 = torch.nn.functional.batch_norm(
+            x_347,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_347 = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None
+        x_349 = torch.nn.functional.relu(x_348, inplace=True)
+        x_348 = None
+        x_350 = torch.conv2d(
+            x_349,
+            l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_349 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None
+        x_351 = torch.nn.functional.batch_norm(
+            x_350,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_350 = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None
+        mean_31 = x_351.mean((2, 3))
+        y_93 = mean_31.view(1, 1, -1)
+        mean_31 = None
+        y_94 = torch.conv1d(
+            y_93,
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_93 = (
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_31 = y_94.sigmoid()
+        y_94 = None
+        y_95 = sigmoid_31.view(1, -1, 1, 1)
+        sigmoid_31 = None
+        expand_as_31 = y_95.expand_as(x_351)
+        y_95 = None
+        x_352 = x_351 * expand_as_31
+        x_351 = expand_as_31 = None
+        x_352 += x_343
+        x_353 = x_352
+        x_352 = x_343 = None
+        x_354 = torch.nn.functional.relu(x_353, inplace=True)
+        x_353 = None
+        x_355 = torch.conv2d(
+            x_354,
+            l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None
+        x_356 = torch.nn.functional.batch_norm(
+            x_355,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_355 = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None
+        x_357 = torch.nn.functional.relu(x_356, inplace=True)
+        x_356 = None
+        x_358 = torch.conv2d(
+            x_357,
+            l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_357 = l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = None
+        x_359 = torch.nn.functional.batch_norm(
+            x_358,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_358 = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None
+        x_360 = torch.nn.functional.relu(x_359, inplace=True)
+        x_359 = None
+        x_361 = torch.conv2d(
+            x_360,
+            l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_360 = l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = None
+        x_362 = torch.nn.functional.batch_norm(
+            x_361,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_361 = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None
+        mean_32 = x_362.mean((2, 3))
+        y_96 = mean_32.view(1, 1, -1)
+        mean_32 = None
+        y_97 = torch.conv1d(
+            y_96,
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_96 = (
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_32 = y_97.sigmoid()
+        y_97 = None
+        y_98 = sigmoid_32.view(1, -1, 1, 1)
+        sigmoid_32 = None
+        expand_as_32 = y_98.expand_as(x_362)
+        y_98 = None
+        x_363 = x_362 * expand_as_32
+        x_362 = expand_as_32 = None
+        x_363 += x_354
+        x_364 = x_363
+        x_363 = x_354 = None
+        x_365 = torch.nn.functional.relu(x_364, inplace=True)
+        x_364 = None
+        x_366 = torch.nn.functional.adaptive_avg_pool2d(x_365, 1)
+        x_365 = None
+        x_367 = x_366.flatten(1, -1)
+        x_366 = None
+        x_368 = torch._C._nn.linear(
+            x_367,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+        )
+        x_367 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        return (x_368,)
diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/weight_meta.py b/samples/timm/ecaresnet101d_pruned.miil_in1k/weight_meta.py
new file mode 100644
index 000000000..1b8256f1a
--- /dev/null
+++ b/samples/timm/ecaresnet101d_pruned.miil_in1k/weight_meta.py
@@ -0,0 +1,5676 @@
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_0_parameters_weight_:
+    name = "L_self_modules_conv1_modules_0_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.110
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.233
+    std = 1.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_:
+    name = "L_self_modules_conv1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_:
+    name = "L_self_modules_conv1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_:
+    name = "L_self_modules_conv1_modules_3_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_weight_:
+    name = "L_self_modules_conv1_modules_4_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_bias_:
+    name = "L_self_modules_conv1_modules_4_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_6_parameters_weight_:
+    name = "L_self_modules_conv1_modules_6_parameters_weight_"
+    shape = [64, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_"
+    shape = [45, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [45]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [45]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_"
+    shape = [45]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_"
+    shape = [45]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_"
+    shape = [25, 45, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [25]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [25]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_"
+    shape = [25]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_"
+    shape = [25]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_"
+    shape = [26, 25, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.117
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.129
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [26, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_"
+    shape = [53, 26, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [53]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [53]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_"
+    shape = [53]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_"
+    shape = [53]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_"
+    shape = [20, 53, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_"
+    shape = [26, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.265
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_"
+    shape = [60, 26, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_"
+    shape = [27, 60, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [27]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [27]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_"
+    shape = [27]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_"
+    shape = [27]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_"
+    shape = [26, 27, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.087
+    std = 0.230
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_"
+    shape = [81, 26, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [81]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [81]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_"
+    shape = [81]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_"
+    shape = [81]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_"
+    shape = [24, 81, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_"
+    shape = [142, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.119
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.019
+    std = 0.417
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [142, 26, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.113
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_"
+    shape = [93, 142, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [93]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [93]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_"
+    shape = [93]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_"
+    shape = [93]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_"
+    shape = [49, 93, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [49]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [49]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_"
+    shape = [49]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_"
+    shape = [49]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_"
+    shape = [142, 49, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.092
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_"
+    shape = [102, 142, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [102]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [102]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_"
+    shape = [102]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_"
+    shape = [102]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_"
+    shape = [54, 102, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [54]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [54]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_"
+    shape = [54]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_"
+    shape = [54]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_"
+    shape = [142, 54, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.208
+    std = 0.265
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_"
+    shape = [122, 142, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [122]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [122]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_"
+    shape = [122]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_"
+    shape = [122]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_"
+    shape = [78, 122, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [78]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [78]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_"
+    shape = [78]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_"
+    shape = [78]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_"
+    shape = [142, 78, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_"
+    shape = [142]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.320
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_"
+    shape = [101, 142, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [101]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [101]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_"
+    shape = [101]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_"
+    shape = [101]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_"
+    shape = [25, 101, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [25]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [25]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_"
+    shape = [25]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_"
+    shape = [25]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_"
+    shape = [278, 25, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.178
+    std = 0.261
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [278, 142, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_"
+    shape = [239, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [239]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [239]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_"
+    shape = [239]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_"
+    shape = [239]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_"
+    shape = [160, 239, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_"
+    shape = [278, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.120
+    std = 0.270
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_"
+    shape = [234, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [234]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [234]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_"
+    shape = [234]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_"
+    shape = [234]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_"
+    shape = [156, 234, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [156]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [156]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_"
+    shape = [156]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_"
+    shape = [156]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_"
+    shape = [278, 156, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.154
+    std = 0.332
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_"
+    shape = [250, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [250]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [250]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_"
+    shape = [250]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_"
+    shape = [250]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_"
+    shape = [176, 250, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_"
+    shape = [278, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.014
+    std = 0.292
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_"
+    shape = [253, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_"
+    shape = [191, 253, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [191]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [191]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_"
+    shape = [191]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_"
+    shape = [191]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_"
+    shape = [278, 191, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.022
+    std = 0.344
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_"
+    shape = [251, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [251]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [251]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_"
+    shape = [251]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_"
+    shape = [251]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_"
+    shape = [175, 251, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [175]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [175]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_"
+    shape = [175]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_"
+    shape = [175]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_"
+    shape = [278, 175, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.052
+    std = 0.325
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_"
+    shape = [230, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [230]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_"
+    shape = [230]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_"
+    shape = [230]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_"
+    shape = [230]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_"
+    shape = [128, 230, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_"
+    shape = [278, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.091
+    std = 0.294
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_"
+    shape = [244, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_"
+    shape = [154, 244, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [154]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_"
+    shape = [154]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_"
+    shape = [154]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_"
+    shape = [154]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_"
+    shape = [278, 154, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.077
+    std = 0.265
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_"
+    shape = [244, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_"
+    shape = [159, 244, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [159]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_"
+    shape = [159]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_"
+    shape = [159]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_"
+    shape = [159]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_"
+    shape = [278, 159, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.046
+    std = 0.310
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_"
+    shape = [238, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_"
+    shape = [238]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_"
+    shape = [238]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_"
+    shape = [238]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_"
+    shape = [238]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_"
+    shape = [97, 238, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_"
+    shape = [97]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_"
+    shape = [97]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_"
+    shape = [97]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_"
+    shape = [97]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_"
+    shape = [278, 97, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.239
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_"
+    shape = [244, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_"
+    shape = [244]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_"
+    shape = [149, 244, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_"
+    shape = [149]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_"
+    shape = [149]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_"
+    shape = [149]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_"
+    shape = [149]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_"
+    shape = [278, 149, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.049
+    std = 0.260
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_"
+    shape = [253, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_"
+    shape = [181, 253, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_"
+    shape = [181]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_"
+    shape = [181]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_"
+    shape = [181]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_"
+    shape = [181]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_"
+    shape = [278, 181, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_"
+    shape = [245, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_"
+    shape = [245]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_"
+    shape = [245]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_"
+    shape = [245]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_"
+    shape = [245]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_"
+    shape = [119, 245, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_"
+    shape = [119]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_"
+    shape = [119]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_"
+    shape = [119]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_"
+    shape = [119]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_"
+    shape = [278, 119, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.012
+    std = 0.278
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_"
+    shape = [255, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_"
+    shape = [216, 255, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_"
+    shape = [278, 216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.173
+    std = 0.152
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_"
+    shape = [256, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_"
+    shape = [201, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_"
+    shape = [201]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_"
+    shape = [201]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_"
+    shape = [201]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_"
+    shape = [201]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_"
+    shape = [278, 201, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.066
+    std = 0.247
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_"
+    shape = [253, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_"
+    shape = [149, 253, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_"
+    shape = [149]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_"
+    shape = [149]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_"
+    shape = [149]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_"
+    shape = [149]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_"
+    shape = [278, 149, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.032
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_"
+    shape = [254, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_"
+    shape = [254]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_"
+    shape = [254]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_"
+    shape = [254]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_"
+    shape = [254]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_"
+    shape = [141, 254, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_"
+    shape = [141]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_"
+    shape = [141]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_"
+    shape = [141]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_"
+    shape = [141]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_"
+    shape = [278, 141, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.123
+    std = 0.199
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_"
+    shape = [256, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_"
+    shape = [190, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_"
+    shape = [190]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_"
+    shape = [190]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_"
+    shape = [190]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_"
+    shape = [190]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_"
+    shape = [278, 190, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.018
+    std = 0.268
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_"
+    shape = [256, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_"
+    shape = [217, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_"
+    shape = [217]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_"
+    shape = [217]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_"
+    shape = [217]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_"
+    shape = [217]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_"
+    shape = [278, 217, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.063
+    std = 0.181
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_"
+    shape = [255, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_"
+    shape = [156, 255, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_"
+    shape = [156]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_"
+    shape = [156]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_"
+    shape = [156]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_"
+    shape = [156]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_"
+    shape = [278, 156, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.068
+    std = 0.227
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_"
+    shape = [256, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_"
+    shape = [155, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_"
+    shape = [155]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_"
+    shape = [155]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_"
+    shape = [155]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_"
+    shape = [155]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_"
+    shape = [278, 155, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.205
+    std = 0.217
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_"
+    shape = [256, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_"
+    shape = [232, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_"
+    shape = [278, 232, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.049
+    std = 0.298
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_"
+    shape = [256, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_"
+    shape = [214, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_"
+    shape = [214]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_"
+    shape = [214]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_"
+    shape = [214]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_"
+    shape = [214]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_"
+    shape = [278, 214, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_"
+    shape = [278]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.107
+    std = 0.324
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_"
+    shape = [499, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [499]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [499]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_"
+    shape = [499]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_"
+    shape = [499]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_"
+    shape = [289, 499, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [289]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [289]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_"
+    shape = [289]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_"
+    shape = [289]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_"
+    shape = [2042, 289, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.084
+    std = 0.273
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [2042, 278, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_"
+    shape = [512, 2042, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_"
+    shape = [2042, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.075
+    std = 0.211
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_"
+    shape = [512, 2042, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_"
+    shape = [502, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [502]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [502]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_"
+    shape = [502]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_"
+    shape = [502]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_"
+    shape = [2042, 502, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_"
+    shape = [2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.161
+    std = 0.231
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 2042]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
diff --git a/samples/timm/ecaresnet269d.ra2_in1k/graph_hash.txt b/samples/timm/ecaresnet269d.ra2_in1k/graph_hash.txt
new file mode 100644
index 000000000..9637c79c5
--- /dev/null
+++ b/samples/timm/ecaresnet269d.ra2_in1k/graph_hash.txt
@@ -0,0 +1 @@
+37b31e995bd9511a8bd330b3f3b0bcbd2f3cbc397b475a7281fa658cd60b52f4
\ No newline at end of file
diff --git a/samples/timm/ecaresnet269d.ra2_in1k/graph_net.json b/samples/timm/ecaresnet269d.ra2_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ecaresnet269d.ra2_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ecaresnet269d.ra2_in1k/input_meta.py b/samples/timm/ecaresnet269d.ra2_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet269d.ra2_in1k/input_tensor_constraints.py b/samples/timm/ecaresnet269d.ra2_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet269d.ra2_in1k/model.py b/samples/timm/ecaresnet269d.ra2_in1k/model.py
new file mode 100644
index 000000000..02e98e8a9
--- /dev/null
+++ b/samples/timm/ecaresnet269d.ra2_in1k/model.py
@@ -0,0 +1,16072 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_4_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_4_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_6_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_4_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_4_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_4_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_5_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_5_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_5_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_6_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_6_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_6_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_6_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_6_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_6_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_6_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_6_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_6_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_6_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_6_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_6_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_6_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_6_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_6_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_6_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_7_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_7_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_7_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_7_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_7_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_7_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_7_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_7_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_7_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_7_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_7_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_7_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_7_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_7_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_7_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_7_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_layer4_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_4_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_4_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_5_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_5_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_5_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_6_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_6_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_6_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_6_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_6_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_6_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_6_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_6_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_6_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_6_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_6_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_6_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_6_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_6_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_6_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_6_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_7_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_7_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_7_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_7_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_7_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_7_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_7_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_7_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_7_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_7_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_7_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_7_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_7_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_7_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_7_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_7_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv1_modules_0_parameters_weight_ = (
+            L_self_modules_conv1_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_conv1_modules_1_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_1_buffers_running_var_ = (
+            L_self_modules_conv1_modules_1_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_1_parameters_weight_ = (
+            L_self_modules_conv1_modules_1_parameters_weight_
+        )
+        l_self_modules_conv1_modules_1_parameters_bias_ = (
+            L_self_modules_conv1_modules_1_parameters_bias_
+        )
+        l_self_modules_conv1_modules_3_parameters_weight_ = (
+            L_self_modules_conv1_modules_3_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_4_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_var_ = (
+            L_self_modules_conv1_modules_4_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_4_parameters_weight_ = (
+            L_self_modules_conv1_modules_4_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_parameters_bias_ = (
+            L_self_modules_conv1_modules_4_parameters_bias_
+        )
+        l_self_modules_conv1_modules_6_parameters_weight_ = (
+            L_self_modules_conv1_modules_6_parameters_weight_
+        )
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_4_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_4_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_4_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_4_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_4_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_4_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_4_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_4_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_5_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_5_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_5_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_5_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_5_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_5_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_5_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_5_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_6_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_6_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_6_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_6_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_6_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_6_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_6_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_6_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_7_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_7_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_7_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_7_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_7_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_7_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_7_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_7_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_8_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_8_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_8_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_8_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_8_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_8_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_8_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_8_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_9_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_9_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_9_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_9_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_9_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_9_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_9_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_9_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_9_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_9_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_9_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_9_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_9_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_9_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_9_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_9_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_9_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_9_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_9_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_9_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_9_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_9_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_9_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_9_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_9_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_9_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_9_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_9_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_9_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_9_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_9_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_9_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_10_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_10_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_10_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_10_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_10_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_10_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_10_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_10_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_10_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_10_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_10_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_10_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_10_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_10_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_10_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_10_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_10_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_10_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_10_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_10_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_10_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_10_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_10_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_10_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_10_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_10_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_10_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_10_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_10_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_10_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_10_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_10_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_11_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_11_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_11_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_11_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_11_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_11_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_11_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_11_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_11_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_11_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_11_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_11_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_11_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_11_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_11_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_11_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_11_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_11_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_11_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_11_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_11_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_11_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_11_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_11_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_11_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_11_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_11_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_11_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_11_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_11_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_11_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_11_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_12_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_12_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_12_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_12_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_12_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_12_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_12_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_12_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_12_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_12_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_12_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_12_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_12_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_12_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_12_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_12_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_12_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_12_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_12_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_12_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_12_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_12_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_12_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_12_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_12_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_12_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_12_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_12_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_12_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_12_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_12_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_12_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_13_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_13_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_13_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_13_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_13_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_13_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_13_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_13_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_13_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_13_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_13_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_13_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_13_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_13_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_13_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_13_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_13_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_13_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_13_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_13_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_13_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_13_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_13_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_13_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_13_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_13_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_13_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_13_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_13_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_13_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_13_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_13_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_14_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_14_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_14_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_14_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_14_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_14_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_14_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_14_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_14_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_14_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_14_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_14_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_14_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_14_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_14_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_14_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_14_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_14_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_14_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_14_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_14_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_14_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_14_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_14_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_14_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_14_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_14_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_14_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_14_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_14_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_14_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_14_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_15_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_15_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_15_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_15_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_15_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_15_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_15_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_15_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_15_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_15_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_15_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_15_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_15_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_15_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_15_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_15_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_15_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_15_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_15_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_15_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_15_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_15_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_15_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_15_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_15_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_15_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_15_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_15_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_15_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_15_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_15_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_15_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_16_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_16_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_16_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_16_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_16_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_16_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_16_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_16_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_16_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_16_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_16_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_16_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_16_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_16_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_16_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_16_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_16_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_16_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_16_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_16_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_16_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_16_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_16_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_16_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_16_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_16_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_16_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_16_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_16_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_16_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_16_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_16_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_17_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_17_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_17_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_17_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_17_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_17_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_17_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_17_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_17_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_17_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_17_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_17_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_17_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_17_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_17_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_17_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_17_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_17_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_17_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_17_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_17_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_17_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_17_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_17_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_17_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_17_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_17_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_17_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_17_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_17_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_17_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_17_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_18_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_18_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_18_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_18_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_18_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_18_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_18_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_18_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_18_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_18_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_18_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_18_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_18_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_18_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_18_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_18_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_18_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_18_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_18_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_18_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_18_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_18_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_18_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_18_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_18_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_18_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_18_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_18_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_18_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_18_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_18_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_18_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_19_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_19_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_19_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_19_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_19_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_19_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_19_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_19_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_19_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_19_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_19_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_19_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_19_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_19_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_19_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_19_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_19_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_19_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_19_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_19_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_19_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_19_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_19_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_19_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_19_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_19_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_19_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_19_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_19_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_19_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_19_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_19_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_20_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_20_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_20_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_20_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_20_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_20_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_20_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_20_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_20_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_20_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_20_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_20_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_20_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_20_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_20_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_20_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_20_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_20_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_20_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_20_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_20_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_20_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_20_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_20_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_20_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_20_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_20_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_20_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_20_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_20_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_20_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_20_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_21_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_21_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_21_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_21_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_21_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_21_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_21_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_21_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_21_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_21_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_21_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_21_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_21_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_21_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_21_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_21_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_21_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_21_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_21_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_21_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_21_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_21_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_21_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_21_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_21_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_21_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_21_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_21_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_21_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_21_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_21_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_21_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_22_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_22_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_22_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_22_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_22_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_22_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_22_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_22_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_22_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_22_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_22_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_22_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_22_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_22_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_22_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_22_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_22_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_22_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_22_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_22_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_22_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_22_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_22_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_22_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_22_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_22_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_22_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_22_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_22_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_22_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_22_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_22_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_23_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_23_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_23_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_23_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_23_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_23_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_23_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_23_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_23_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_23_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_23_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_23_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_23_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_23_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_23_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_23_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_23_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_23_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_23_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_23_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_23_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_23_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_23_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_23_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_23_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_23_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_23_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_23_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_23_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_23_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_23_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_23_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_24_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_24_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_24_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_24_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_24_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_24_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_24_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_24_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_24_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_24_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_24_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_24_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_24_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_24_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_24_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_24_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_24_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_24_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_24_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_24_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_24_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_24_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_24_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_24_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_24_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_24_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_24_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_24_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_24_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_24_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_24_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_24_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_25_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_25_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_25_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_25_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_25_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_25_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_25_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_25_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_25_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_25_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_25_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_25_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_25_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_25_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_25_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_25_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_25_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_25_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_25_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_25_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_25_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_25_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_25_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_25_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_25_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_25_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_25_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_25_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_25_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_25_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_25_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_25_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_26_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_26_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_26_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_26_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_26_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_26_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_26_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_26_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_26_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_26_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_26_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_26_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_26_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_26_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_26_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_26_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_26_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_26_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_26_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_26_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_26_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_26_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_26_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_26_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_26_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_26_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_26_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_26_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_26_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_26_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_26_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_26_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_27_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_27_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_27_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_27_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_27_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_27_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_27_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_27_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_27_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_27_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_27_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_27_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_27_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_27_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_27_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_27_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_27_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_27_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_27_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_27_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_27_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_27_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_27_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_27_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_27_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_27_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_27_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_27_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_27_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_27_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_27_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_27_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_28_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_28_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_28_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_28_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_28_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_28_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_28_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_28_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_28_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_28_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_28_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_28_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_28_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_28_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_28_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_28_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_28_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_28_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_28_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_28_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_28_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_28_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_28_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_28_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_28_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_28_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_28_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_28_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_28_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_28_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_28_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_28_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_29_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_29_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_29_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_29_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_29_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_29_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_29_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_29_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_29_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_29_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_29_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_29_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_29_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_29_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_29_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_29_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_29_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_29_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_29_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_29_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_29_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_29_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_29_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_29_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_29_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_29_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_29_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_29_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_29_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_29_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_29_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_29_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_23_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_23_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_23_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_23_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_23_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_23_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_23_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_23_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_23_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_23_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_23_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_23_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_23_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_23_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_23_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_23_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_23_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_23_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_23_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_23_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_23_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_23_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_23_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_23_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_23_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_23_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_23_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_23_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_23_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_23_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_23_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_23_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_24_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_24_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_24_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_24_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_24_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_24_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_24_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_24_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_24_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_24_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_24_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_24_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_24_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_24_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_24_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_24_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_24_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_24_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_24_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_24_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_24_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_24_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_24_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_24_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_24_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_24_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_24_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_24_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_24_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_24_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_24_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_24_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_25_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_25_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_25_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_25_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_25_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_25_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_25_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_25_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_25_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_25_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_25_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_25_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_25_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_25_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_25_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_25_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_25_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_25_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_25_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_25_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_25_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_25_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_25_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_25_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_25_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_25_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_25_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_25_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_25_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_25_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_25_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_25_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_26_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_26_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_26_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_26_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_26_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_26_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_26_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_26_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_26_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_26_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_26_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_26_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_26_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_26_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_26_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_26_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_26_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_26_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_26_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_26_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_26_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_26_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_26_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_26_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_26_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_26_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_26_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_26_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_26_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_26_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_26_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_26_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_27_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_27_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_27_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_27_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_27_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_27_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_27_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_27_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_27_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_27_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_27_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_27_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_27_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_27_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_27_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_27_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_27_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_27_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_27_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_27_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_27_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_27_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_27_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_27_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_27_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_27_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_27_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_27_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_27_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_27_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_27_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_27_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_28_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_28_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_28_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_28_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_28_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_28_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_28_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_28_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_28_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_28_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_28_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_28_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_28_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_28_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_28_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_28_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_28_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_28_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_28_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_28_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_28_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_28_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_28_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_28_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_28_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_28_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_28_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_28_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_28_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_28_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_28_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_28_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_29_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_29_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_29_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_29_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_29_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_29_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_29_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_29_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_29_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_29_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_29_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_29_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_29_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_29_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_29_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_29_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_29_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_29_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_29_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_29_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_29_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_29_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_29_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_29_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_29_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_29_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_29_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_29_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_29_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_29_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_29_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_29_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_30_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_30_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_30_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_30_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_30_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_30_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_30_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_30_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_30_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_30_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_30_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_30_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_30_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_30_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_30_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_30_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_30_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_30_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_30_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_30_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_30_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_30_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_30_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_30_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_30_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_30_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_30_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_30_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_30_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_30_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_30_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_30_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_31_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_31_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_31_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_31_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_31_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_31_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_31_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_31_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_31_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_31_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_31_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_31_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_31_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_31_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_31_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_31_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_31_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_31_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_31_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_31_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_31_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_31_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_31_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_31_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_31_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_31_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_31_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_31_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_31_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_31_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_31_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_31_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_32_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_32_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_32_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_32_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_32_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_32_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_32_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_32_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_32_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_32_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_32_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_32_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_32_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_32_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_32_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_32_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_32_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_32_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_32_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_32_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_32_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_32_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_32_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_32_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_32_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_32_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_32_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_32_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_32_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_32_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_32_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_32_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_33_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_33_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_33_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_33_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_33_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_33_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_33_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_33_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_33_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_33_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_33_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_33_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_33_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_33_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_33_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_33_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_33_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_33_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_33_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_33_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_33_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_33_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_33_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_33_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_33_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_33_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_33_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_33_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_33_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_33_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_33_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_33_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_34_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_34_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_34_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_34_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_34_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_34_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_34_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_34_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_34_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_34_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_34_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_34_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_34_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_34_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_34_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_34_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_34_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_34_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_34_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_34_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_34_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_34_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_34_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_34_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_34_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_34_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_34_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_34_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_34_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_34_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_34_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_34_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_35_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_35_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_35_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_35_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_35_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_35_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_35_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_35_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_35_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_35_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_35_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_35_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_35_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_35_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_35_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_35_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_35_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_35_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_35_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_35_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_35_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_35_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_35_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_35_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_35_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_35_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_35_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_35_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_35_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_35_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_35_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_35_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_36_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_36_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_36_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_36_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_36_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_36_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_36_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_36_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_36_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_36_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_36_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_36_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_36_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_36_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_36_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_36_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_36_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_36_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_36_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_36_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_36_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_36_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_36_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_36_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_36_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_36_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_36_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_36_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_36_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_36_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_36_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_36_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_37_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_37_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_37_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_37_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_37_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_37_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_37_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_37_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_37_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_37_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_37_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_37_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_37_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_37_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_37_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_37_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_37_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_37_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_37_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_37_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_37_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_37_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_37_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_37_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_37_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_37_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_37_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_37_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_37_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_37_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_37_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_37_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_38_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_38_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_38_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_38_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_38_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_38_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_38_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_38_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_38_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_38_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_38_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_38_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_38_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_38_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_38_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_38_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_38_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_38_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_38_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_38_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_38_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_38_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_38_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_38_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_38_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_38_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_38_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_38_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_38_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_38_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_38_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_38_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_39_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_39_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_39_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_39_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_39_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_39_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_39_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_39_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_39_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_39_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_39_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_39_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_39_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_39_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_39_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_39_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_39_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_39_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_39_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_39_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_39_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_39_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_39_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_39_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_39_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_39_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_39_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_39_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_39_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_39_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_39_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_39_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_40_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_40_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_40_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_40_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_40_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_40_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_40_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_40_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_40_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_40_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_40_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_40_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_40_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_40_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_40_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_40_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_40_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_40_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_40_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_40_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_40_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_40_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_40_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_40_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_40_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_40_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_40_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_40_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_40_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_40_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_40_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_40_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_41_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_41_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_41_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_41_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_41_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_41_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_41_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_41_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_41_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_41_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_41_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_41_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_41_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_41_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_41_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_41_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_41_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_41_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_41_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_41_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_41_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_41_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_41_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_41_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_41_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_41_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_41_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_41_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_41_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_41_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_41_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_41_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_42_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_42_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_42_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_42_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_42_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_42_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_42_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_42_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_42_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_42_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_42_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_42_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_42_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_42_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_42_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_42_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_42_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_42_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_42_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_42_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_42_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_42_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_42_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_42_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_42_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_42_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_42_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_42_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_42_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_42_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_42_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_42_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_43_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_43_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_43_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_43_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_43_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_43_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_43_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_43_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_43_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_43_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_43_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_43_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_43_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_43_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_43_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_43_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_43_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_43_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_43_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_43_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_43_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_43_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_43_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_43_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_43_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_43_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_43_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_43_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_43_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_43_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_43_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_43_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_44_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_44_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_44_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_44_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_44_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_44_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_44_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_44_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_44_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_44_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_44_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_44_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_44_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_44_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_44_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_44_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_44_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_44_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_44_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_44_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_44_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_44_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_44_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_44_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_44_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_44_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_44_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_44_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_44_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_44_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_44_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_44_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_45_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_45_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_45_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_45_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_45_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_45_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_45_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_45_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_45_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_45_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_45_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_45_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_45_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_45_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_45_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_45_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_45_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_45_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_45_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_45_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_45_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_45_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_45_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_45_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_45_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_45_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_45_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_45_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_45_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_45_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_45_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_45_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_46_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_46_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_46_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_46_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_46_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_46_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_46_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_46_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_46_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_46_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_46_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_46_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_46_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_46_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_46_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_46_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_46_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_46_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_46_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_46_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_46_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_46_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_46_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_46_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_46_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_46_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_46_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_46_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_46_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_46_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_46_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_46_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_47_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_47_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_47_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_47_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_47_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_47_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_47_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_47_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_47_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_47_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_47_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_47_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_47_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_47_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_47_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_47_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_47_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_47_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_47_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_47_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_47_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_47_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_47_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_47_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_47_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_47_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_47_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_47_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_47_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_47_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_47_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_47_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_4_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_4_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_4_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_4_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_4_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_4_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_4_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_4_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_5_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_5_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_5_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_5_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_5_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_5_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_5_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_5_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_6_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_6_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_6_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_6_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_6_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_6_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_6_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_6_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_7_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_7_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_7_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_7_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_7_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_7_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_7_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_7_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_conv1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv1_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_conv1_modules_1_buffers_running_mean_,
+            l_self_modules_conv1_modules_1_buffers_running_var_,
+            l_self_modules_conv1_modules_1_parameters_weight_,
+            l_self_modules_conv1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_conv1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_1_parameters_weight_
+        ) = l_self_modules_conv1_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_conv1_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_conv1_modules_3_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_conv1_modules_4_buffers_running_mean_,
+            l_self_modules_conv1_modules_4_buffers_running_var_,
+            l_self_modules_conv1_modules_4_parameters_weight_,
+            l_self_modules_conv1_modules_4_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_conv1_modules_4_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_4_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_4_parameters_weight_
+        ) = l_self_modules_conv1_modules_4_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_conv1_modules_6_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_conv1_modules_6_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_1 = torch.nn.functional.relu(x, inplace=True)
+        x = None
+        x_2 = torch.nn.functional.max_pool2d(
+            x_1, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None
+        mean = x_10.mean((2, 3))
+        sym_sum = torch.sym_sum([-1, s1])
+        s1 = None
+        floordiv = sym_sum // 4
+        sym_sum_1 = torch.sym_sum([1, floordiv])
+        floordiv = sym_sum_1 = None
+        y = mean.view(1, 1, -1)
+        mean = None
+        y_1 = torch.conv1d(
+            y,
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y = (
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid = y_1.sigmoid()
+        y_1 = None
+        y_2 = sigmoid.view(1, -1, 1, 1)
+        sigmoid = None
+        expand_as = y_2.expand_as(x_10)
+        y_2 = None
+        x_11 = x_10 * expand_as
+        x_10 = expand_as = None
+        input_8 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_9 = torch.nn.functional.batch_norm(
+            input_8,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_8 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_11 += input_9
+        x_12 = x_11
+        x_11 = input_9 = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None
+        mean_1 = x_21.mean((2, 3))
+        y_3 = mean_1.view(1, 1, -1)
+        mean_1 = None
+        y_4 = torch.conv1d(
+            y_3,
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_3 = (
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_1 = y_4.sigmoid()
+        y_4 = None
+        y_5 = sigmoid_1.view(1, -1, 1, 1)
+        sigmoid_1 = None
+        expand_as_1 = y_5.expand_as(x_21)
+        y_5 = None
+        x_22 = x_21 * expand_as_1
+        x_21 = expand_as_1 = None
+        x_22 += x_13
+        x_23 = x_22
+        x_22 = x_13 = None
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = None
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None
+        mean_2 = x_32.mean((2, 3))
+        y_6 = mean_2.view(1, 1, -1)
+        mean_2 = None
+        y_7 = torch.conv1d(
+            y_6,
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_6 = (
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_2 = y_7.sigmoid()
+        y_7 = None
+        y_8 = sigmoid_2.view(1, -1, 1, 1)
+        sigmoid_2 = None
+        expand_as_2 = y_8.expand_as(x_32)
+        y_8 = None
+        x_33 = x_32 * expand_as_2
+        x_32 = expand_as_2 = None
+        x_33 += x_24
+        x_34 = x_33
+        x_33 = x_24 = None
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None
+        mean_3 = x_43.mean((2, 3))
+        floordiv_1 = sym_sum // 8
+        sym_sum_2 = torch.sym_sum([1, floordiv_1])
+        floordiv_1 = sym_sum_2 = None
+        y_9 = mean_3.view(1, 1, -1)
+        mean_3 = None
+        y_10 = torch.conv1d(
+            y_9,
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_9 = (
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_3 = y_10.sigmoid()
+        y_10 = None
+        y_11 = sigmoid_3.view(1, -1, 1, 1)
+        sigmoid_3 = None
+        expand_as_3 = y_11.expand_as(x_43)
+        y_11 = None
+        x_44 = x_43 * expand_as_3
+        x_43 = expand_as_3 = None
+        input_10 = torch._C._nn.avg_pool2d(x_35, 2, 2, 0, True, False, None)
+        x_35 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_10 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_12 = torch.nn.functional.batch_norm(
+            input_11,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_11 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_44 += input_12
+        x_45 = x_44
+        x_44 = input_12 = None
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None
+        x_49 = torch.nn.functional.relu(x_48, inplace=True)
+        x_48 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None
+        mean_4 = x_54.mean((2, 3))
+        y_12 = mean_4.view(1, 1, -1)
+        mean_4 = None
+        y_13 = torch.conv1d(
+            y_12,
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_12 = (
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_4 = y_13.sigmoid()
+        y_13 = None
+        y_14 = sigmoid_4.view(1, -1, 1, 1)
+        sigmoid_4 = None
+        expand_as_4 = y_14.expand_as(x_54)
+        y_14 = None
+        x_55 = x_54 * expand_as_4
+        x_54 = expand_as_4 = None
+        x_55 += x_46
+        x_56 = x_55
+        x_55 = x_46 = None
+        x_57 = torch.nn.functional.relu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = None
+        x_63 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None
+        mean_5 = x_65.mean((2, 3))
+        y_15 = mean_5.view(1, 1, -1)
+        mean_5 = None
+        y_16 = torch.conv1d(
+            y_15,
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_15 = (
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_5 = y_16.sigmoid()
+        y_16 = None
+        y_17 = sigmoid_5.view(1, -1, 1, 1)
+        sigmoid_5 = None
+        expand_as_5 = y_17.expand_as(x_65)
+        y_17 = None
+        x_66 = x_65 * expand_as_5
+        x_65 = expand_as_5 = None
+        x_66 += x_57
+        x_67 = x_66
+        x_66 = x_57 = None
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None
+        x_71 = torch.nn.functional.relu(x_70, inplace=True)
+        x_70 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_71 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = None
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None
+        mean_6 = x_76.mean((2, 3))
+        y_18 = mean_6.view(1, 1, -1)
+        mean_6 = None
+        y_19 = torch.conv1d(
+            y_18,
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_18 = (
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_6 = y_19.sigmoid()
+        y_19 = None
+        y_20 = sigmoid_6.view(1, -1, 1, 1)
+        sigmoid_6 = None
+        expand_as_6 = y_20.expand_as(x_76)
+        y_20 = None
+        x_77 = x_76 * expand_as_6
+        x_76 = expand_as_6 = None
+        x_77 += x_68
+        x_78 = x_77
+        x_77 = x_68 = None
+        x_79 = torch.nn.functional.relu(x_78, inplace=True)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_layer2_modules_4_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_4_modules_conv1_parameters_weight_ = None
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_layer2_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = (
+            l_self_modules_layer2_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_4_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_4_modules_bn1_parameters_bias_ = None
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_layer2_modules_4_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_layer2_modules_4_modules_conv2_parameters_weight_ = None
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_layer2_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_layer2_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_4_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_4_modules_bn2_parameters_bias_ = None
+        x_85 = torch.nn.functional.relu(x_84, inplace=True)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_layer2_modules_4_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_layer2_modules_4_modules_conv3_parameters_weight_ = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_layer2_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_layer2_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_4_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_4_modules_bn3_parameters_bias_ = None
+        mean_7 = x_87.mean((2, 3))
+        y_21 = mean_7.view(1, 1, -1)
+        mean_7 = None
+        y_22 = torch.conv1d(
+            y_21,
+            l_self_modules_layer2_modules_4_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_21 = (
+            l_self_modules_layer2_modules_4_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_7 = y_22.sigmoid()
+        y_22 = None
+        y_23 = sigmoid_7.view(1, -1, 1, 1)
+        sigmoid_7 = None
+        expand_as_7 = y_23.expand_as(x_87)
+        y_23 = None
+        x_88 = x_87 * expand_as_7
+        x_87 = expand_as_7 = None
+        x_88 += x_79
+        x_89 = x_88
+        x_88 = x_79 = None
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_layer2_modules_5_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_5_modules_conv1_parameters_weight_ = None
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_layer2_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_layer2_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_5_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_5_modules_bn1_parameters_bias_ = None
+        x_93 = torch.nn.functional.relu(x_92, inplace=True)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_layer2_modules_5_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_layer2_modules_5_modules_conv2_parameters_weight_ = None
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_layer2_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_layer2_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_5_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_5_modules_bn2_parameters_bias_ = None
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_layer2_modules_5_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = l_self_modules_layer2_modules_5_modules_conv3_parameters_weight_ = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_layer2_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_layer2_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_5_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_5_modules_bn3_parameters_bias_ = None
+        mean_8 = x_98.mean((2, 3))
+        y_24 = mean_8.view(1, 1, -1)
+        mean_8 = None
+        y_25 = torch.conv1d(
+            y_24,
+            l_self_modules_layer2_modules_5_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_24 = (
+            l_self_modules_layer2_modules_5_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_8 = y_25.sigmoid()
+        y_25 = None
+        y_26 = sigmoid_8.view(1, -1, 1, 1)
+        sigmoid_8 = None
+        expand_as_8 = y_26.expand_as(x_98)
+        y_26 = None
+        x_99 = x_98 * expand_as_8
+        x_98 = expand_as_8 = None
+        x_99 += x_90
+        x_100 = x_99
+        x_99 = x_90 = None
+        x_101 = torch.nn.functional.relu(x_100, inplace=True)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_layer2_modules_6_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_6_modules_conv1_parameters_weight_ = None
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_layer2_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_layer2_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_6_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_6_modules_bn1_parameters_bias_ = None
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_layer2_modules_6_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_layer2_modules_6_modules_conv2_parameters_weight_ = None
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_layer2_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = (
+            l_self_modules_layer2_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_6_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_6_modules_bn2_parameters_bias_ = None
+        x_107 = torch.nn.functional.relu(x_106, inplace=True)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_layer2_modules_6_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_layer2_modules_6_modules_conv3_parameters_weight_ = None
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_layer2_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = (
+            l_self_modules_layer2_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_6_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_6_modules_bn3_parameters_bias_ = None
+        mean_9 = x_109.mean((2, 3))
+        y_27 = mean_9.view(1, 1, -1)
+        mean_9 = None
+        y_28 = torch.conv1d(
+            y_27,
+            l_self_modules_layer2_modules_6_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_27 = (
+            l_self_modules_layer2_modules_6_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_9 = y_28.sigmoid()
+        y_28 = None
+        y_29 = sigmoid_9.view(1, -1, 1, 1)
+        sigmoid_9 = None
+        expand_as_9 = y_29.expand_as(x_109)
+        y_29 = None
+        x_110 = x_109 * expand_as_9
+        x_109 = expand_as_9 = None
+        x_110 += x_101
+        x_111 = x_110
+        x_110 = x_101 = None
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layer2_modules_7_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_7_modules_conv1_parameters_weight_ = None
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_layer2_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_layer2_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_7_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_7_modules_bn1_parameters_bias_ = None
+        x_115 = torch.nn.functional.relu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_layer2_modules_7_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_115 = l_self_modules_layer2_modules_7_modules_conv2_parameters_weight_ = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_layer2_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_layer2_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_7_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_7_modules_bn2_parameters_bias_ = None
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_layer2_modules_7_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_layer2_modules_7_modules_conv3_parameters_weight_ = None
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_layer2_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_layer2_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_7_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_7_modules_bn3_parameters_bias_ = None
+        mean_10 = x_120.mean((2, 3))
+        y_30 = mean_10.view(1, 1, -1)
+        mean_10 = None
+        y_31 = torch.conv1d(
+            y_30,
+            l_self_modules_layer2_modules_7_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_30 = (
+            l_self_modules_layer2_modules_7_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_10 = y_31.sigmoid()
+        y_31 = None
+        y_32 = sigmoid_10.view(1, -1, 1, 1)
+        sigmoid_10 = None
+        expand_as_10 = y_32.expand_as(x_120)
+        y_32 = None
+        x_121 = x_120 * expand_as_10
+        x_120 = expand_as_10 = None
+        x_121 += x_112
+        x_122 = x_121
+        x_121 = x_112 = None
+        x_123 = torch.nn.functional.relu(x_122, inplace=True)
+        x_122 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_layer2_modules_8_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_8_modules_conv1_parameters_weight_ = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_layer2_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_layer2_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_8_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_8_modules_bn1_parameters_bias_ = None
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layer2_modules_8_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layer2_modules_8_modules_conv2_parameters_weight_ = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_layer2_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_layer2_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_8_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_8_modules_bn2_parameters_bias_ = None
+        x_129 = torch.nn.functional.relu(x_128, inplace=True)
+        x_128 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_layer2_modules_8_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_129 = l_self_modules_layer2_modules_8_modules_conv3_parameters_weight_ = None
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_layer2_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_layer2_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_8_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_8_modules_bn3_parameters_bias_ = None
+        mean_11 = x_131.mean((2, 3))
+        y_33 = mean_11.view(1, 1, -1)
+        mean_11 = None
+        y_34 = torch.conv1d(
+            y_33,
+            l_self_modules_layer2_modules_8_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_33 = (
+            l_self_modules_layer2_modules_8_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_11 = y_34.sigmoid()
+        y_34 = None
+        y_35 = sigmoid_11.view(1, -1, 1, 1)
+        sigmoid_11 = None
+        expand_as_11 = y_35.expand_as(x_131)
+        y_35 = None
+        x_132 = x_131 * expand_as_11
+        x_131 = expand_as_11 = None
+        x_132 += x_123
+        x_133 = x_132
+        x_132 = x_123 = None
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layer2_modules_9_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_9_modules_conv1_parameters_weight_ = None
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_layer2_modules_9_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_9_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_9_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_9_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_layer2_modules_9_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_9_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_9_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_9_modules_bn1_parameters_bias_ = None
+        x_137 = torch.nn.functional.relu(x_136, inplace=True)
+        x_136 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_layer2_modules_9_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_137 = l_self_modules_layer2_modules_9_modules_conv2_parameters_weight_ = None
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_layer2_modules_9_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_9_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_9_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_9_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_layer2_modules_9_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_9_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_9_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_9_modules_bn2_parameters_bias_ = None
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layer2_modules_9_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layer2_modules_9_modules_conv3_parameters_weight_ = None
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_layer2_modules_9_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_9_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_9_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_9_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = (
+            l_self_modules_layer2_modules_9_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_9_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_9_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_9_modules_bn3_parameters_bias_ = None
+        mean_12 = x_142.mean((2, 3))
+        y_36 = mean_12.view(1, 1, -1)
+        mean_12 = None
+        y_37 = torch.conv1d(
+            y_36,
+            l_self_modules_layer2_modules_9_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_36 = (
+            l_self_modules_layer2_modules_9_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_12 = y_37.sigmoid()
+        y_37 = None
+        y_38 = sigmoid_12.view(1, -1, 1, 1)
+        sigmoid_12 = None
+        expand_as_12 = y_38.expand_as(x_142)
+        y_38 = None
+        x_143 = x_142 * expand_as_12
+        x_142 = expand_as_12 = None
+        x_143 += x_134
+        x_144 = x_143
+        x_143 = x_134 = None
+        x_145 = torch.nn.functional.relu(x_144, inplace=True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layer2_modules_10_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_10_modules_conv1_parameters_weight_ = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_layer2_modules_10_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_10_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_10_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_10_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_layer2_modules_10_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_10_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_10_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_10_modules_bn1_parameters_bias_ = None
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layer2_modules_10_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layer2_modules_10_modules_conv2_parameters_weight_ = None
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_layer2_modules_10_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_10_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_10_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_10_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_layer2_modules_10_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_10_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_10_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_10_modules_bn2_parameters_bias_ = None
+        x_151 = torch.nn.functional.relu(x_150, inplace=True)
+        x_150 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layer2_modules_10_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_layer2_modules_10_modules_conv3_parameters_weight_ = None
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_layer2_modules_10_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_10_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_10_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_10_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_layer2_modules_10_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_10_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_10_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_10_modules_bn3_parameters_bias_ = None
+        mean_13 = x_153.mean((2, 3))
+        y_39 = mean_13.view(1, 1, -1)
+        mean_13 = None
+        y_40 = torch.conv1d(
+            y_39,
+            l_self_modules_layer2_modules_10_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_39 = (
+            l_self_modules_layer2_modules_10_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_13 = y_40.sigmoid()
+        y_40 = None
+        y_41 = sigmoid_13.view(1, -1, 1, 1)
+        sigmoid_13 = None
+        expand_as_13 = y_41.expand_as(x_153)
+        y_41 = None
+        x_154 = x_153 * expand_as_13
+        x_153 = expand_as_13 = None
+        x_154 += x_145
+        x_155 = x_154
+        x_154 = x_145 = None
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_layer2_modules_11_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_11_modules_conv1_parameters_weight_ = None
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_layer2_modules_11_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_11_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_11_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_11_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = (
+            l_self_modules_layer2_modules_11_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_11_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_11_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_11_modules_bn1_parameters_bias_ = None
+        x_159 = torch.nn.functional.relu(x_158, inplace=True)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layer2_modules_11_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layer2_modules_11_modules_conv2_parameters_weight_ = None
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_layer2_modules_11_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_11_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_11_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_11_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_layer2_modules_11_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_11_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_11_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_11_modules_bn2_parameters_bias_ = None
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_layer2_modules_11_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = l_self_modules_layer2_modules_11_modules_conv3_parameters_weight_ = None
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_layer2_modules_11_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_11_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_11_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_11_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_layer2_modules_11_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_11_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_11_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_11_modules_bn3_parameters_bias_ = None
+        mean_14 = x_164.mean((2, 3))
+        y_42 = mean_14.view(1, 1, -1)
+        mean_14 = None
+        y_43 = torch.conv1d(
+            y_42,
+            l_self_modules_layer2_modules_11_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_42 = (
+            l_self_modules_layer2_modules_11_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_14 = y_43.sigmoid()
+        y_43 = None
+        y_44 = sigmoid_14.view(1, -1, 1, 1)
+        sigmoid_14 = None
+        expand_as_14 = y_44.expand_as(x_164)
+        y_44 = None
+        x_165 = x_164 * expand_as_14
+        x_164 = expand_as_14 = None
+        x_165 += x_156
+        x_166 = x_165
+        x_165 = x_156 = None
+        x_167 = torch.nn.functional.relu(x_166, inplace=True)
+        x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_layer2_modules_12_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_12_modules_conv1_parameters_weight_ = None
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_layer2_modules_12_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_12_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_12_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_12_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = (
+            l_self_modules_layer2_modules_12_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_12_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_12_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_12_modules_bn1_parameters_bias_ = None
+        x_170 = torch.nn.functional.relu(x_169, inplace=True)
+        x_169 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_layer2_modules_12_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_170 = l_self_modules_layer2_modules_12_modules_conv2_parameters_weight_ = None
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_layer2_modules_12_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_12_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_12_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_12_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = (
+            l_self_modules_layer2_modules_12_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_12_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_12_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_12_modules_bn2_parameters_bias_ = None
+        x_173 = torch.nn.functional.relu(x_172, inplace=True)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layer2_modules_12_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layer2_modules_12_modules_conv3_parameters_weight_ = None
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_layer2_modules_12_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_12_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_12_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_12_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = (
+            l_self_modules_layer2_modules_12_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_12_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_12_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_12_modules_bn3_parameters_bias_ = None
+        mean_15 = x_175.mean((2, 3))
+        y_45 = mean_15.view(1, 1, -1)
+        mean_15 = None
+        y_46 = torch.conv1d(
+            y_45,
+            l_self_modules_layer2_modules_12_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_45 = (
+            l_self_modules_layer2_modules_12_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_15 = y_46.sigmoid()
+        y_46 = None
+        y_47 = sigmoid_15.view(1, -1, 1, 1)
+        sigmoid_15 = None
+        expand_as_15 = y_47.expand_as(x_175)
+        y_47 = None
+        x_176 = x_175 * expand_as_15
+        x_175 = expand_as_15 = None
+        x_176 += x_167
+        x_177 = x_176
+        x_176 = x_167 = None
+        x_178 = torch.nn.functional.relu(x_177, inplace=True)
+        x_177 = None
+        x_179 = torch.conv2d(
+            x_178,
+            l_self_modules_layer2_modules_13_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_13_modules_conv1_parameters_weight_ = None
+        x_180 = torch.nn.functional.batch_norm(
+            x_179,
+            l_self_modules_layer2_modules_13_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_13_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_13_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_13_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_179 = (
+            l_self_modules_layer2_modules_13_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_13_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_13_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_13_modules_bn1_parameters_bias_ = None
+        x_181 = torch.nn.functional.relu(x_180, inplace=True)
+        x_180 = None
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_layer2_modules_13_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_181 = l_self_modules_layer2_modules_13_modules_conv2_parameters_weight_ = None
+        x_183 = torch.nn.functional.batch_norm(
+            x_182,
+            l_self_modules_layer2_modules_13_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_13_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_13_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_13_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_182 = (
+            l_self_modules_layer2_modules_13_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_13_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_13_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_13_modules_bn2_parameters_bias_ = None
+        x_184 = torch.nn.functional.relu(x_183, inplace=True)
+        x_183 = None
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_layer2_modules_13_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_184 = l_self_modules_layer2_modules_13_modules_conv3_parameters_weight_ = None
+        x_186 = torch.nn.functional.batch_norm(
+            x_185,
+            l_self_modules_layer2_modules_13_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_13_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_13_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_13_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_185 = (
+            l_self_modules_layer2_modules_13_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_13_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_13_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_13_modules_bn3_parameters_bias_ = None
+        mean_16 = x_186.mean((2, 3))
+        y_48 = mean_16.view(1, 1, -1)
+        mean_16 = None
+        y_49 = torch.conv1d(
+            y_48,
+            l_self_modules_layer2_modules_13_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_48 = (
+            l_self_modules_layer2_modules_13_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_16 = y_49.sigmoid()
+        y_49 = None
+        y_50 = sigmoid_16.view(1, -1, 1, 1)
+        sigmoid_16 = None
+        expand_as_16 = y_50.expand_as(x_186)
+        y_50 = None
+        x_187 = x_186 * expand_as_16
+        x_186 = expand_as_16 = None
+        x_187 += x_178
+        x_188 = x_187
+        x_187 = x_178 = None
+        x_189 = torch.nn.functional.relu(x_188, inplace=True)
+        x_188 = None
+        x_190 = torch.conv2d(
+            x_189,
+            l_self_modules_layer2_modules_14_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_14_modules_conv1_parameters_weight_ = None
+        x_191 = torch.nn.functional.batch_norm(
+            x_190,
+            l_self_modules_layer2_modules_14_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_14_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_14_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_14_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_190 = (
+            l_self_modules_layer2_modules_14_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_14_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_14_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_14_modules_bn1_parameters_bias_ = None
+        x_192 = torch.nn.functional.relu(x_191, inplace=True)
+        x_191 = None
+        x_193 = torch.conv2d(
+            x_192,
+            l_self_modules_layer2_modules_14_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_192 = l_self_modules_layer2_modules_14_modules_conv2_parameters_weight_ = None
+        x_194 = torch.nn.functional.batch_norm(
+            x_193,
+            l_self_modules_layer2_modules_14_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_14_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_14_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_14_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_193 = (
+            l_self_modules_layer2_modules_14_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_14_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_14_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_14_modules_bn2_parameters_bias_ = None
+        x_195 = torch.nn.functional.relu(x_194, inplace=True)
+        x_194 = None
+        x_196 = torch.conv2d(
+            x_195,
+            l_self_modules_layer2_modules_14_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_195 = l_self_modules_layer2_modules_14_modules_conv3_parameters_weight_ = None
+        x_197 = torch.nn.functional.batch_norm(
+            x_196,
+            l_self_modules_layer2_modules_14_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_14_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_14_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_14_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_196 = (
+            l_self_modules_layer2_modules_14_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_14_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_14_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_14_modules_bn3_parameters_bias_ = None
+        mean_17 = x_197.mean((2, 3))
+        y_51 = mean_17.view(1, 1, -1)
+        mean_17 = None
+        y_52 = torch.conv1d(
+            y_51,
+            l_self_modules_layer2_modules_14_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_51 = (
+            l_self_modules_layer2_modules_14_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_17 = y_52.sigmoid()
+        y_52 = None
+        y_53 = sigmoid_17.view(1, -1, 1, 1)
+        sigmoid_17 = None
+        expand_as_17 = y_53.expand_as(x_197)
+        y_53 = None
+        x_198 = x_197 * expand_as_17
+        x_197 = expand_as_17 = None
+        x_198 += x_189
+        x_199 = x_198
+        x_198 = x_189 = None
+        x_200 = torch.nn.functional.relu(x_199, inplace=True)
+        x_199 = None
+        x_201 = torch.conv2d(
+            x_200,
+            l_self_modules_layer2_modules_15_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_15_modules_conv1_parameters_weight_ = None
+        x_202 = torch.nn.functional.batch_norm(
+            x_201,
+            l_self_modules_layer2_modules_15_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_15_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_15_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_15_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_201 = (
+            l_self_modules_layer2_modules_15_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_15_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_15_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_15_modules_bn1_parameters_bias_ = None
+        x_203 = torch.nn.functional.relu(x_202, inplace=True)
+        x_202 = None
+        x_204 = torch.conv2d(
+            x_203,
+            l_self_modules_layer2_modules_15_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_203 = l_self_modules_layer2_modules_15_modules_conv2_parameters_weight_ = None
+        x_205 = torch.nn.functional.batch_norm(
+            x_204,
+            l_self_modules_layer2_modules_15_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_15_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_15_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_15_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_204 = (
+            l_self_modules_layer2_modules_15_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_15_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_15_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_15_modules_bn2_parameters_bias_ = None
+        x_206 = torch.nn.functional.relu(x_205, inplace=True)
+        x_205 = None
+        x_207 = torch.conv2d(
+            x_206,
+            l_self_modules_layer2_modules_15_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_206 = l_self_modules_layer2_modules_15_modules_conv3_parameters_weight_ = None
+        x_208 = torch.nn.functional.batch_norm(
+            x_207,
+            l_self_modules_layer2_modules_15_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_15_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_15_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_15_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_207 = (
+            l_self_modules_layer2_modules_15_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_15_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_15_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_15_modules_bn3_parameters_bias_ = None
+        mean_18 = x_208.mean((2, 3))
+        y_54 = mean_18.view(1, 1, -1)
+        mean_18 = None
+        y_55 = torch.conv1d(
+            y_54,
+            l_self_modules_layer2_modules_15_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_54 = (
+            l_self_modules_layer2_modules_15_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_18 = y_55.sigmoid()
+        y_55 = None
+        y_56 = sigmoid_18.view(1, -1, 1, 1)
+        sigmoid_18 = None
+        expand_as_18 = y_56.expand_as(x_208)
+        y_56 = None
+        x_209 = x_208 * expand_as_18
+        x_208 = expand_as_18 = None
+        x_209 += x_200
+        x_210 = x_209
+        x_209 = x_200 = None
+        x_211 = torch.nn.functional.relu(x_210, inplace=True)
+        x_210 = None
+        x_212 = torch.conv2d(
+            x_211,
+            l_self_modules_layer2_modules_16_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_16_modules_conv1_parameters_weight_ = None
+        x_213 = torch.nn.functional.batch_norm(
+            x_212,
+            l_self_modules_layer2_modules_16_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_16_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_16_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_16_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_212 = (
+            l_self_modules_layer2_modules_16_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_16_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_16_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_16_modules_bn1_parameters_bias_ = None
+        x_214 = torch.nn.functional.relu(x_213, inplace=True)
+        x_213 = None
+        x_215 = torch.conv2d(
+            x_214,
+            l_self_modules_layer2_modules_16_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_214 = l_self_modules_layer2_modules_16_modules_conv2_parameters_weight_ = None
+        x_216 = torch.nn.functional.batch_norm(
+            x_215,
+            l_self_modules_layer2_modules_16_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_16_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_16_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_16_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_215 = (
+            l_self_modules_layer2_modules_16_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_16_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_16_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_16_modules_bn2_parameters_bias_ = None
+        x_217 = torch.nn.functional.relu(x_216, inplace=True)
+        x_216 = None
+        x_218 = torch.conv2d(
+            x_217,
+            l_self_modules_layer2_modules_16_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_217 = l_self_modules_layer2_modules_16_modules_conv3_parameters_weight_ = None
+        x_219 = torch.nn.functional.batch_norm(
+            x_218,
+            l_self_modules_layer2_modules_16_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_16_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_16_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_16_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_218 = (
+            l_self_modules_layer2_modules_16_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_16_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_16_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_16_modules_bn3_parameters_bias_ = None
+        mean_19 = x_219.mean((2, 3))
+        y_57 = mean_19.view(1, 1, -1)
+        mean_19 = None
+        y_58 = torch.conv1d(
+            y_57,
+            l_self_modules_layer2_modules_16_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_57 = (
+            l_self_modules_layer2_modules_16_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_19 = y_58.sigmoid()
+        y_58 = None
+        y_59 = sigmoid_19.view(1, -1, 1, 1)
+        sigmoid_19 = None
+        expand_as_19 = y_59.expand_as(x_219)
+        y_59 = None
+        x_220 = x_219 * expand_as_19
+        x_219 = expand_as_19 = None
+        x_220 += x_211
+        x_221 = x_220
+        x_220 = x_211 = None
+        x_222 = torch.nn.functional.relu(x_221, inplace=True)
+        x_221 = None
+        x_223 = torch.conv2d(
+            x_222,
+            l_self_modules_layer2_modules_17_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_17_modules_conv1_parameters_weight_ = None
+        x_224 = torch.nn.functional.batch_norm(
+            x_223,
+            l_self_modules_layer2_modules_17_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_17_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_17_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_17_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_223 = (
+            l_self_modules_layer2_modules_17_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_17_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_17_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_17_modules_bn1_parameters_bias_ = None
+        x_225 = torch.nn.functional.relu(x_224, inplace=True)
+        x_224 = None
+        x_226 = torch.conv2d(
+            x_225,
+            l_self_modules_layer2_modules_17_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_225 = l_self_modules_layer2_modules_17_modules_conv2_parameters_weight_ = None
+        x_227 = torch.nn.functional.batch_norm(
+            x_226,
+            l_self_modules_layer2_modules_17_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_17_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_17_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_17_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_226 = (
+            l_self_modules_layer2_modules_17_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_17_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_17_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_17_modules_bn2_parameters_bias_ = None
+        x_228 = torch.nn.functional.relu(x_227, inplace=True)
+        x_227 = None
+        x_229 = torch.conv2d(
+            x_228,
+            l_self_modules_layer2_modules_17_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_228 = l_self_modules_layer2_modules_17_modules_conv3_parameters_weight_ = None
+        x_230 = torch.nn.functional.batch_norm(
+            x_229,
+            l_self_modules_layer2_modules_17_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_17_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_17_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_17_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_229 = (
+            l_self_modules_layer2_modules_17_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_17_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_17_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_17_modules_bn3_parameters_bias_ = None
+        mean_20 = x_230.mean((2, 3))
+        y_60 = mean_20.view(1, 1, -1)
+        mean_20 = None
+        y_61 = torch.conv1d(
+            y_60,
+            l_self_modules_layer2_modules_17_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_60 = (
+            l_self_modules_layer2_modules_17_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_20 = y_61.sigmoid()
+        y_61 = None
+        y_62 = sigmoid_20.view(1, -1, 1, 1)
+        sigmoid_20 = None
+        expand_as_20 = y_62.expand_as(x_230)
+        y_62 = None
+        x_231 = x_230 * expand_as_20
+        x_230 = expand_as_20 = None
+        x_231 += x_222
+        x_232 = x_231
+        x_231 = x_222 = None
+        x_233 = torch.nn.functional.relu(x_232, inplace=True)
+        x_232 = None
+        x_234 = torch.conv2d(
+            x_233,
+            l_self_modules_layer2_modules_18_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_18_modules_conv1_parameters_weight_ = None
+        x_235 = torch.nn.functional.batch_norm(
+            x_234,
+            l_self_modules_layer2_modules_18_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_18_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_18_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_18_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_234 = (
+            l_self_modules_layer2_modules_18_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_18_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_18_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_18_modules_bn1_parameters_bias_ = None
+        x_236 = torch.nn.functional.relu(x_235, inplace=True)
+        x_235 = None
+        x_237 = torch.conv2d(
+            x_236,
+            l_self_modules_layer2_modules_18_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_236 = l_self_modules_layer2_modules_18_modules_conv2_parameters_weight_ = None
+        x_238 = torch.nn.functional.batch_norm(
+            x_237,
+            l_self_modules_layer2_modules_18_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_18_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_18_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_18_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_237 = (
+            l_self_modules_layer2_modules_18_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_18_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_18_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_18_modules_bn2_parameters_bias_ = None
+        x_239 = torch.nn.functional.relu(x_238, inplace=True)
+        x_238 = None
+        x_240 = torch.conv2d(
+            x_239,
+            l_self_modules_layer2_modules_18_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_239 = l_self_modules_layer2_modules_18_modules_conv3_parameters_weight_ = None
+        x_241 = torch.nn.functional.batch_norm(
+            x_240,
+            l_self_modules_layer2_modules_18_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_18_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_18_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_18_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_240 = (
+            l_self_modules_layer2_modules_18_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_18_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_18_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_18_modules_bn3_parameters_bias_ = None
+        mean_21 = x_241.mean((2, 3))
+        y_63 = mean_21.view(1, 1, -1)
+        mean_21 = None
+        y_64 = torch.conv1d(
+            y_63,
+            l_self_modules_layer2_modules_18_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_63 = (
+            l_self_modules_layer2_modules_18_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_21 = y_64.sigmoid()
+        y_64 = None
+        y_65 = sigmoid_21.view(1, -1, 1, 1)
+        sigmoid_21 = None
+        expand_as_21 = y_65.expand_as(x_241)
+        y_65 = None
+        x_242 = x_241 * expand_as_21
+        x_241 = expand_as_21 = None
+        x_242 += x_233
+        x_243 = x_242
+        x_242 = x_233 = None
+        x_244 = torch.nn.functional.relu(x_243, inplace=True)
+        x_243 = None
+        x_245 = torch.conv2d(
+            x_244,
+            l_self_modules_layer2_modules_19_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_19_modules_conv1_parameters_weight_ = None
+        x_246 = torch.nn.functional.batch_norm(
+            x_245,
+            l_self_modules_layer2_modules_19_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_19_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_19_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_19_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_245 = (
+            l_self_modules_layer2_modules_19_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_19_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_19_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_19_modules_bn1_parameters_bias_ = None
+        x_247 = torch.nn.functional.relu(x_246, inplace=True)
+        x_246 = None
+        x_248 = torch.conv2d(
+            x_247,
+            l_self_modules_layer2_modules_19_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_247 = l_self_modules_layer2_modules_19_modules_conv2_parameters_weight_ = None
+        x_249 = torch.nn.functional.batch_norm(
+            x_248,
+            l_self_modules_layer2_modules_19_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_19_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_19_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_19_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_248 = (
+            l_self_modules_layer2_modules_19_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_19_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_19_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_19_modules_bn2_parameters_bias_ = None
+        x_250 = torch.nn.functional.relu(x_249, inplace=True)
+        x_249 = None
+        x_251 = torch.conv2d(
+            x_250,
+            l_self_modules_layer2_modules_19_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_250 = l_self_modules_layer2_modules_19_modules_conv3_parameters_weight_ = None
+        x_252 = torch.nn.functional.batch_norm(
+            x_251,
+            l_self_modules_layer2_modules_19_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_19_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_19_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_19_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_251 = (
+            l_self_modules_layer2_modules_19_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_19_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_19_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_19_modules_bn3_parameters_bias_ = None
+        mean_22 = x_252.mean((2, 3))
+        y_66 = mean_22.view(1, 1, -1)
+        mean_22 = None
+        y_67 = torch.conv1d(
+            y_66,
+            l_self_modules_layer2_modules_19_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_66 = (
+            l_self_modules_layer2_modules_19_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_22 = y_67.sigmoid()
+        y_67 = None
+        y_68 = sigmoid_22.view(1, -1, 1, 1)
+        sigmoid_22 = None
+        expand_as_22 = y_68.expand_as(x_252)
+        y_68 = None
+        x_253 = x_252 * expand_as_22
+        x_252 = expand_as_22 = None
+        x_253 += x_244
+        x_254 = x_253
+        x_253 = x_244 = None
+        x_255 = torch.nn.functional.relu(x_254, inplace=True)
+        x_254 = None
+        x_256 = torch.conv2d(
+            x_255,
+            l_self_modules_layer2_modules_20_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_20_modules_conv1_parameters_weight_ = None
+        x_257 = torch.nn.functional.batch_norm(
+            x_256,
+            l_self_modules_layer2_modules_20_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_20_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_20_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_20_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_256 = (
+            l_self_modules_layer2_modules_20_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_20_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_20_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_20_modules_bn1_parameters_bias_ = None
+        x_258 = torch.nn.functional.relu(x_257, inplace=True)
+        x_257 = None
+        x_259 = torch.conv2d(
+            x_258,
+            l_self_modules_layer2_modules_20_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_258 = l_self_modules_layer2_modules_20_modules_conv2_parameters_weight_ = None
+        x_260 = torch.nn.functional.batch_norm(
+            x_259,
+            l_self_modules_layer2_modules_20_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_20_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_20_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_20_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_259 = (
+            l_self_modules_layer2_modules_20_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_20_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_20_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_20_modules_bn2_parameters_bias_ = None
+        x_261 = torch.nn.functional.relu(x_260, inplace=True)
+        x_260 = None
+        x_262 = torch.conv2d(
+            x_261,
+            l_self_modules_layer2_modules_20_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_261 = l_self_modules_layer2_modules_20_modules_conv3_parameters_weight_ = None
+        x_263 = torch.nn.functional.batch_norm(
+            x_262,
+            l_self_modules_layer2_modules_20_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_20_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_20_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_20_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_262 = (
+            l_self_modules_layer2_modules_20_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_20_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_20_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_20_modules_bn3_parameters_bias_ = None
+        mean_23 = x_263.mean((2, 3))
+        y_69 = mean_23.view(1, 1, -1)
+        mean_23 = None
+        y_70 = torch.conv1d(
+            y_69,
+            l_self_modules_layer2_modules_20_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_69 = (
+            l_self_modules_layer2_modules_20_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_23 = y_70.sigmoid()
+        y_70 = None
+        y_71 = sigmoid_23.view(1, -1, 1, 1)
+        sigmoid_23 = None
+        expand_as_23 = y_71.expand_as(x_263)
+        y_71 = None
+        x_264 = x_263 * expand_as_23
+        x_263 = expand_as_23 = None
+        x_264 += x_255
+        x_265 = x_264
+        x_264 = x_255 = None
+        x_266 = torch.nn.functional.relu(x_265, inplace=True)
+        x_265 = None
+        x_267 = torch.conv2d(
+            x_266,
+            l_self_modules_layer2_modules_21_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_21_modules_conv1_parameters_weight_ = None
+        x_268 = torch.nn.functional.batch_norm(
+            x_267,
+            l_self_modules_layer2_modules_21_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_21_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_21_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_21_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_267 = (
+            l_self_modules_layer2_modules_21_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_21_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_21_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_21_modules_bn1_parameters_bias_ = None
+        x_269 = torch.nn.functional.relu(x_268, inplace=True)
+        x_268 = None
+        x_270 = torch.conv2d(
+            x_269,
+            l_self_modules_layer2_modules_21_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_269 = l_self_modules_layer2_modules_21_modules_conv2_parameters_weight_ = None
+        x_271 = torch.nn.functional.batch_norm(
+            x_270,
+            l_self_modules_layer2_modules_21_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_21_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_21_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_21_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_270 = (
+            l_self_modules_layer2_modules_21_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_21_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_21_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_21_modules_bn2_parameters_bias_ = None
+        x_272 = torch.nn.functional.relu(x_271, inplace=True)
+        x_271 = None
+        x_273 = torch.conv2d(
+            x_272,
+            l_self_modules_layer2_modules_21_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_272 = l_self_modules_layer2_modules_21_modules_conv3_parameters_weight_ = None
+        x_274 = torch.nn.functional.batch_norm(
+            x_273,
+            l_self_modules_layer2_modules_21_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_21_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_21_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_21_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_273 = (
+            l_self_modules_layer2_modules_21_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_21_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_21_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_21_modules_bn3_parameters_bias_ = None
+        mean_24 = x_274.mean((2, 3))
+        y_72 = mean_24.view(1, 1, -1)
+        mean_24 = None
+        y_73 = torch.conv1d(
+            y_72,
+            l_self_modules_layer2_modules_21_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_72 = (
+            l_self_modules_layer2_modules_21_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_24 = y_73.sigmoid()
+        y_73 = None
+        y_74 = sigmoid_24.view(1, -1, 1, 1)
+        sigmoid_24 = None
+        expand_as_24 = y_74.expand_as(x_274)
+        y_74 = None
+        x_275 = x_274 * expand_as_24
+        x_274 = expand_as_24 = None
+        x_275 += x_266
+        x_276 = x_275
+        x_275 = x_266 = None
+        x_277 = torch.nn.functional.relu(x_276, inplace=True)
+        x_276 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_layer2_modules_22_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_22_modules_conv1_parameters_weight_ = None
+        x_279 = torch.nn.functional.batch_norm(
+            x_278,
+            l_self_modules_layer2_modules_22_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_22_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_22_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_22_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_278 = (
+            l_self_modules_layer2_modules_22_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_22_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_22_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_22_modules_bn1_parameters_bias_ = None
+        x_280 = torch.nn.functional.relu(x_279, inplace=True)
+        x_279 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_layer2_modules_22_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_280 = l_self_modules_layer2_modules_22_modules_conv2_parameters_weight_ = None
+        x_282 = torch.nn.functional.batch_norm(
+            x_281,
+            l_self_modules_layer2_modules_22_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_22_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_22_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_22_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_281 = (
+            l_self_modules_layer2_modules_22_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_22_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_22_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_22_modules_bn2_parameters_bias_ = None
+        x_283 = torch.nn.functional.relu(x_282, inplace=True)
+        x_282 = None
+        x_284 = torch.conv2d(
+            x_283,
+            l_self_modules_layer2_modules_22_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_283 = l_self_modules_layer2_modules_22_modules_conv3_parameters_weight_ = None
+        x_285 = torch.nn.functional.batch_norm(
+            x_284,
+            l_self_modules_layer2_modules_22_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_22_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_22_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_22_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_284 = (
+            l_self_modules_layer2_modules_22_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_22_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_22_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_22_modules_bn3_parameters_bias_ = None
+        mean_25 = x_285.mean((2, 3))
+        y_75 = mean_25.view(1, 1, -1)
+        mean_25 = None
+        y_76 = torch.conv1d(
+            y_75,
+            l_self_modules_layer2_modules_22_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_75 = (
+            l_self_modules_layer2_modules_22_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_25 = y_76.sigmoid()
+        y_76 = None
+        y_77 = sigmoid_25.view(1, -1, 1, 1)
+        sigmoid_25 = None
+        expand_as_25 = y_77.expand_as(x_285)
+        y_77 = None
+        x_286 = x_285 * expand_as_25
+        x_285 = expand_as_25 = None
+        x_286 += x_277
+        x_287 = x_286
+        x_286 = x_277 = None
+        x_288 = torch.nn.functional.relu(x_287, inplace=True)
+        x_287 = None
+        x_289 = torch.conv2d(
+            x_288,
+            l_self_modules_layer2_modules_23_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_23_modules_conv1_parameters_weight_ = None
+        x_290 = torch.nn.functional.batch_norm(
+            x_289,
+            l_self_modules_layer2_modules_23_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_23_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_23_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_23_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_289 = (
+            l_self_modules_layer2_modules_23_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_23_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_23_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_23_modules_bn1_parameters_bias_ = None
+        x_291 = torch.nn.functional.relu(x_290, inplace=True)
+        x_290 = None
+        x_292 = torch.conv2d(
+            x_291,
+            l_self_modules_layer2_modules_23_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_291 = l_self_modules_layer2_modules_23_modules_conv2_parameters_weight_ = None
+        x_293 = torch.nn.functional.batch_norm(
+            x_292,
+            l_self_modules_layer2_modules_23_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_23_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_23_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_23_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_292 = (
+            l_self_modules_layer2_modules_23_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_23_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_23_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_23_modules_bn2_parameters_bias_ = None
+        x_294 = torch.nn.functional.relu(x_293, inplace=True)
+        x_293 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_layer2_modules_23_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_layer2_modules_23_modules_conv3_parameters_weight_ = None
+        x_296 = torch.nn.functional.batch_norm(
+            x_295,
+            l_self_modules_layer2_modules_23_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_23_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_23_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_23_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_295 = (
+            l_self_modules_layer2_modules_23_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_23_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_23_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_23_modules_bn3_parameters_bias_ = None
+        mean_26 = x_296.mean((2, 3))
+        y_78 = mean_26.view(1, 1, -1)
+        mean_26 = None
+        y_79 = torch.conv1d(
+            y_78,
+            l_self_modules_layer2_modules_23_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_78 = (
+            l_self_modules_layer2_modules_23_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_26 = y_79.sigmoid()
+        y_79 = None
+        y_80 = sigmoid_26.view(1, -1, 1, 1)
+        sigmoid_26 = None
+        expand_as_26 = y_80.expand_as(x_296)
+        y_80 = None
+        x_297 = x_296 * expand_as_26
+        x_296 = expand_as_26 = None
+        x_297 += x_288
+        x_298 = x_297
+        x_297 = x_288 = None
+        x_299 = torch.nn.functional.relu(x_298, inplace=True)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_layer2_modules_24_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_24_modules_conv1_parameters_weight_ = None
+        x_301 = torch.nn.functional.batch_norm(
+            x_300,
+            l_self_modules_layer2_modules_24_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_24_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_24_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_24_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_300 = (
+            l_self_modules_layer2_modules_24_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_24_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_24_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_24_modules_bn1_parameters_bias_ = None
+        x_302 = torch.nn.functional.relu(x_301, inplace=True)
+        x_301 = None
+        x_303 = torch.conv2d(
+            x_302,
+            l_self_modules_layer2_modules_24_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_302 = l_self_modules_layer2_modules_24_modules_conv2_parameters_weight_ = None
+        x_304 = torch.nn.functional.batch_norm(
+            x_303,
+            l_self_modules_layer2_modules_24_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_24_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_24_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_24_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_303 = (
+            l_self_modules_layer2_modules_24_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_24_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_24_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_24_modules_bn2_parameters_bias_ = None
+        x_305 = torch.nn.functional.relu(x_304, inplace=True)
+        x_304 = None
+        x_306 = torch.conv2d(
+            x_305,
+            l_self_modules_layer2_modules_24_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_305 = l_self_modules_layer2_modules_24_modules_conv3_parameters_weight_ = None
+        x_307 = torch.nn.functional.batch_norm(
+            x_306,
+            l_self_modules_layer2_modules_24_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_24_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_24_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_24_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_306 = (
+            l_self_modules_layer2_modules_24_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_24_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_24_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_24_modules_bn3_parameters_bias_ = None
+        mean_27 = x_307.mean((2, 3))
+        y_81 = mean_27.view(1, 1, -1)
+        mean_27 = None
+        y_82 = torch.conv1d(
+            y_81,
+            l_self_modules_layer2_modules_24_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_81 = (
+            l_self_modules_layer2_modules_24_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_27 = y_82.sigmoid()
+        y_82 = None
+        y_83 = sigmoid_27.view(1, -1, 1, 1)
+        sigmoid_27 = None
+        expand_as_27 = y_83.expand_as(x_307)
+        y_83 = None
+        x_308 = x_307 * expand_as_27
+        x_307 = expand_as_27 = None
+        x_308 += x_299
+        x_309 = x_308
+        x_308 = x_299 = None
+        x_310 = torch.nn.functional.relu(x_309, inplace=True)
+        x_309 = None
+        x_311 = torch.conv2d(
+            x_310,
+            l_self_modules_layer2_modules_25_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_25_modules_conv1_parameters_weight_ = None
+        x_312 = torch.nn.functional.batch_norm(
+            x_311,
+            l_self_modules_layer2_modules_25_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_25_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_25_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_25_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_311 = (
+            l_self_modules_layer2_modules_25_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_25_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_25_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_25_modules_bn1_parameters_bias_ = None
+        x_313 = torch.nn.functional.relu(x_312, inplace=True)
+        x_312 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_layer2_modules_25_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_layer2_modules_25_modules_conv2_parameters_weight_ = None
+        x_315 = torch.nn.functional.batch_norm(
+            x_314,
+            l_self_modules_layer2_modules_25_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_25_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_25_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_25_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_314 = (
+            l_self_modules_layer2_modules_25_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_25_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_25_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_25_modules_bn2_parameters_bias_ = None
+        x_316 = torch.nn.functional.relu(x_315, inplace=True)
+        x_315 = None
+        x_317 = torch.conv2d(
+            x_316,
+            l_self_modules_layer2_modules_25_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_316 = l_self_modules_layer2_modules_25_modules_conv3_parameters_weight_ = None
+        x_318 = torch.nn.functional.batch_norm(
+            x_317,
+            l_self_modules_layer2_modules_25_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_25_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_25_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_25_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_317 = (
+            l_self_modules_layer2_modules_25_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_25_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_25_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_25_modules_bn3_parameters_bias_ = None
+        mean_28 = x_318.mean((2, 3))
+        y_84 = mean_28.view(1, 1, -1)
+        mean_28 = None
+        y_85 = torch.conv1d(
+            y_84,
+            l_self_modules_layer2_modules_25_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_84 = (
+            l_self_modules_layer2_modules_25_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_28 = y_85.sigmoid()
+        y_85 = None
+        y_86 = sigmoid_28.view(1, -1, 1, 1)
+        sigmoid_28 = None
+        expand_as_28 = y_86.expand_as(x_318)
+        y_86 = None
+        x_319 = x_318 * expand_as_28
+        x_318 = expand_as_28 = None
+        x_319 += x_310
+        x_320 = x_319
+        x_319 = x_310 = None
+        x_321 = torch.nn.functional.relu(x_320, inplace=True)
+        x_320 = None
+        x_322 = torch.conv2d(
+            x_321,
+            l_self_modules_layer2_modules_26_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_26_modules_conv1_parameters_weight_ = None
+        x_323 = torch.nn.functional.batch_norm(
+            x_322,
+            l_self_modules_layer2_modules_26_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_26_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_26_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_26_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_322 = (
+            l_self_modules_layer2_modules_26_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_26_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_26_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_26_modules_bn1_parameters_bias_ = None
+        x_324 = torch.nn.functional.relu(x_323, inplace=True)
+        x_323 = None
+        x_325 = torch.conv2d(
+            x_324,
+            l_self_modules_layer2_modules_26_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_324 = l_self_modules_layer2_modules_26_modules_conv2_parameters_weight_ = None
+        x_326 = torch.nn.functional.batch_norm(
+            x_325,
+            l_self_modules_layer2_modules_26_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_26_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_26_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_26_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_325 = (
+            l_self_modules_layer2_modules_26_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_26_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_26_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_26_modules_bn2_parameters_bias_ = None
+        x_327 = torch.nn.functional.relu(x_326, inplace=True)
+        x_326 = None
+        x_328 = torch.conv2d(
+            x_327,
+            l_self_modules_layer2_modules_26_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_327 = l_self_modules_layer2_modules_26_modules_conv3_parameters_weight_ = None
+        x_329 = torch.nn.functional.batch_norm(
+            x_328,
+            l_self_modules_layer2_modules_26_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_26_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_26_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_26_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_328 = (
+            l_self_modules_layer2_modules_26_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_26_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_26_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_26_modules_bn3_parameters_bias_ = None
+        mean_29 = x_329.mean((2, 3))
+        y_87 = mean_29.view(1, 1, -1)
+        mean_29 = None
+        y_88 = torch.conv1d(
+            y_87,
+            l_self_modules_layer2_modules_26_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_87 = (
+            l_self_modules_layer2_modules_26_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_29 = y_88.sigmoid()
+        y_88 = None
+        y_89 = sigmoid_29.view(1, -1, 1, 1)
+        sigmoid_29 = None
+        expand_as_29 = y_89.expand_as(x_329)
+        y_89 = None
+        x_330 = x_329 * expand_as_29
+        x_329 = expand_as_29 = None
+        x_330 += x_321
+        x_331 = x_330
+        x_330 = x_321 = None
+        x_332 = torch.nn.functional.relu(x_331, inplace=True)
+        x_331 = None
+        x_333 = torch.conv2d(
+            x_332,
+            l_self_modules_layer2_modules_27_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_27_modules_conv1_parameters_weight_ = None
+        x_334 = torch.nn.functional.batch_norm(
+            x_333,
+            l_self_modules_layer2_modules_27_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_27_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_27_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_27_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_333 = (
+            l_self_modules_layer2_modules_27_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_27_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_27_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_27_modules_bn1_parameters_bias_ = None
+        x_335 = torch.nn.functional.relu(x_334, inplace=True)
+        x_334 = None
+        x_336 = torch.conv2d(
+            x_335,
+            l_self_modules_layer2_modules_27_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_335 = l_self_modules_layer2_modules_27_modules_conv2_parameters_weight_ = None
+        x_337 = torch.nn.functional.batch_norm(
+            x_336,
+            l_self_modules_layer2_modules_27_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_27_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_27_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_27_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_336 = (
+            l_self_modules_layer2_modules_27_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_27_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_27_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_27_modules_bn2_parameters_bias_ = None
+        x_338 = torch.nn.functional.relu(x_337, inplace=True)
+        x_337 = None
+        x_339 = torch.conv2d(
+            x_338,
+            l_self_modules_layer2_modules_27_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_338 = l_self_modules_layer2_modules_27_modules_conv3_parameters_weight_ = None
+        x_340 = torch.nn.functional.batch_norm(
+            x_339,
+            l_self_modules_layer2_modules_27_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_27_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_27_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_27_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_339 = (
+            l_self_modules_layer2_modules_27_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_27_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_27_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_27_modules_bn3_parameters_bias_ = None
+        mean_30 = x_340.mean((2, 3))
+        y_90 = mean_30.view(1, 1, -1)
+        mean_30 = None
+        y_91 = torch.conv1d(
+            y_90,
+            l_self_modules_layer2_modules_27_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_90 = (
+            l_self_modules_layer2_modules_27_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_30 = y_91.sigmoid()
+        y_91 = None
+        y_92 = sigmoid_30.view(1, -1, 1, 1)
+        sigmoid_30 = None
+        expand_as_30 = y_92.expand_as(x_340)
+        y_92 = None
+        x_341 = x_340 * expand_as_30
+        x_340 = expand_as_30 = None
+        x_341 += x_332
+        x_342 = x_341
+        x_341 = x_332 = None
+        x_343 = torch.nn.functional.relu(x_342, inplace=True)
+        x_342 = None
+        x_344 = torch.conv2d(
+            x_343,
+            l_self_modules_layer2_modules_28_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_28_modules_conv1_parameters_weight_ = None
+        x_345 = torch.nn.functional.batch_norm(
+            x_344,
+            l_self_modules_layer2_modules_28_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_28_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_28_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_28_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_344 = (
+            l_self_modules_layer2_modules_28_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_28_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_28_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_28_modules_bn1_parameters_bias_ = None
+        x_346 = torch.nn.functional.relu(x_345, inplace=True)
+        x_345 = None
+        x_347 = torch.conv2d(
+            x_346,
+            l_self_modules_layer2_modules_28_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_346 = l_self_modules_layer2_modules_28_modules_conv2_parameters_weight_ = None
+        x_348 = torch.nn.functional.batch_norm(
+            x_347,
+            l_self_modules_layer2_modules_28_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_28_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_28_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_28_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_347 = (
+            l_self_modules_layer2_modules_28_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_28_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_28_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_28_modules_bn2_parameters_bias_ = None
+        x_349 = torch.nn.functional.relu(x_348, inplace=True)
+        x_348 = None
+        x_350 = torch.conv2d(
+            x_349,
+            l_self_modules_layer2_modules_28_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_349 = l_self_modules_layer2_modules_28_modules_conv3_parameters_weight_ = None
+        x_351 = torch.nn.functional.batch_norm(
+            x_350,
+            l_self_modules_layer2_modules_28_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_28_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_28_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_28_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_350 = (
+            l_self_modules_layer2_modules_28_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_28_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_28_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_28_modules_bn3_parameters_bias_ = None
+        mean_31 = x_351.mean((2, 3))
+        y_93 = mean_31.view(1, 1, -1)
+        mean_31 = None
+        y_94 = torch.conv1d(
+            y_93,
+            l_self_modules_layer2_modules_28_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_93 = (
+            l_self_modules_layer2_modules_28_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_31 = y_94.sigmoid()
+        y_94 = None
+        y_95 = sigmoid_31.view(1, -1, 1, 1)
+        sigmoid_31 = None
+        expand_as_31 = y_95.expand_as(x_351)
+        y_95 = None
+        x_352 = x_351 * expand_as_31
+        x_351 = expand_as_31 = None
+        x_352 += x_343
+        x_353 = x_352
+        x_352 = x_343 = None
+        x_354 = torch.nn.functional.relu(x_353, inplace=True)
+        x_353 = None
+        x_355 = torch.conv2d(
+            x_354,
+            l_self_modules_layer2_modules_29_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_29_modules_conv1_parameters_weight_ = None
+        x_356 = torch.nn.functional.batch_norm(
+            x_355,
+            l_self_modules_layer2_modules_29_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_29_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_29_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_29_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_355 = (
+            l_self_modules_layer2_modules_29_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_29_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_29_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_29_modules_bn1_parameters_bias_ = None
+        x_357 = torch.nn.functional.relu(x_356, inplace=True)
+        x_356 = None
+        x_358 = torch.conv2d(
+            x_357,
+            l_self_modules_layer2_modules_29_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_357 = l_self_modules_layer2_modules_29_modules_conv2_parameters_weight_ = None
+        x_359 = torch.nn.functional.batch_norm(
+            x_358,
+            l_self_modules_layer2_modules_29_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_29_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_29_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_29_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_358 = (
+            l_self_modules_layer2_modules_29_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_29_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_29_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_29_modules_bn2_parameters_bias_ = None
+        x_360 = torch.nn.functional.relu(x_359, inplace=True)
+        x_359 = None
+        x_361 = torch.conv2d(
+            x_360,
+            l_self_modules_layer2_modules_29_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_360 = l_self_modules_layer2_modules_29_modules_conv3_parameters_weight_ = None
+        x_362 = torch.nn.functional.batch_norm(
+            x_361,
+            l_self_modules_layer2_modules_29_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_29_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_29_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_29_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_361 = (
+            l_self_modules_layer2_modules_29_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_29_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_29_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_29_modules_bn3_parameters_bias_ = None
+        mean_32 = x_362.mean((2, 3))
+        y_96 = mean_32.view(1, 1, -1)
+        mean_32 = None
+        y_97 = torch.conv1d(
+            y_96,
+            l_self_modules_layer2_modules_29_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_96 = (
+            l_self_modules_layer2_modules_29_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_32 = y_97.sigmoid()
+        y_97 = None
+        y_98 = sigmoid_32.view(1, -1, 1, 1)
+        sigmoid_32 = None
+        expand_as_32 = y_98.expand_as(x_362)
+        y_98 = None
+        x_363 = x_362 * expand_as_32
+        x_362 = expand_as_32 = None
+        x_363 += x_354
+        x_364 = x_363
+        x_363 = x_354 = None
+        x_365 = torch.nn.functional.relu(x_364, inplace=True)
+        x_364 = None
+        x_366 = torch.conv2d(
+            x_365,
+            l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None
+        x_367 = torch.nn.functional.batch_norm(
+            x_366,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_366 = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None
+        x_368 = torch.nn.functional.relu(x_367, inplace=True)
+        x_367 = None
+        x_369 = torch.conv2d(
+            x_368,
+            l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_368 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None
+        x_370 = torch.nn.functional.batch_norm(
+            x_369,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_369 = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None
+        x_371 = torch.nn.functional.relu(x_370, inplace=True)
+        x_370 = None
+        x_372 = torch.conv2d(
+            x_371,
+            l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_371 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None
+        x_373 = torch.nn.functional.batch_norm(
+            x_372,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_372 = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None
+        mean_33 = x_373.mean((2, 3))
+        floordiv_2 = sym_sum // 16
+        sym_sum_3 = torch.sym_sum([1, floordiv_2])
+        floordiv_2 = sym_sum_3 = None
+        y_99 = mean_33.view(1, 1, -1)
+        mean_33 = None
+        y_100 = torch.conv1d(
+            y_99,
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_99 = (
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_33 = y_100.sigmoid()
+        y_100 = None
+        y_101 = sigmoid_33.view(1, -1, 1, 1)
+        sigmoid_33 = None
+        expand_as_33 = y_101.expand_as(x_373)
+        y_101 = None
+        x_374 = x_373 * expand_as_33
+        x_373 = expand_as_33 = None
+        input_13 = torch._C._nn.avg_pool2d(x_365, 2, 2, 0, True, False, None)
+        x_365 = None
+        input_14 = torch.conv2d(
+            input_13,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_13 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_374 += input_15
+        x_375 = x_374
+        x_374 = input_15 = None
+        x_376 = torch.nn.functional.relu(x_375, inplace=True)
+        x_375 = None
+        x_377 = torch.conv2d(
+            x_376,
+            l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None
+        x_378 = torch.nn.functional.batch_norm(
+            x_377,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_377 = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None
+        x_379 = torch.nn.functional.relu(x_378, inplace=True)
+        x_378 = None
+        x_380 = torch.conv2d(
+            x_379,
+            l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_379 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None
+        x_381 = torch.nn.functional.batch_norm(
+            x_380,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_380 = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None
+        x_382 = torch.nn.functional.relu(x_381, inplace=True)
+        x_381 = None
+        x_383 = torch.conv2d(
+            x_382,
+            l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_382 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None
+        x_384 = torch.nn.functional.batch_norm(
+            x_383,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_383 = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None
+        mean_34 = x_384.mean((2, 3))
+        y_102 = mean_34.view(1, 1, -1)
+        mean_34 = None
+        y_103 = torch.conv1d(
+            y_102,
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_102 = (
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_34 = y_103.sigmoid()
+        y_103 = None
+        y_104 = sigmoid_34.view(1, -1, 1, 1)
+        sigmoid_34 = None
+        expand_as_34 = y_104.expand_as(x_384)
+        y_104 = None
+        x_385 = x_384 * expand_as_34
+        x_384 = expand_as_34 = None
+        x_385 += x_376
+        x_386 = x_385
+        x_385 = x_376 = None
+        x_387 = torch.nn.functional.relu(x_386, inplace=True)
+        x_386 = None
+        x_388 = torch.conv2d(
+            x_387,
+            l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None
+        x_389 = torch.nn.functional.batch_norm(
+            x_388,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_388 = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None
+        x_390 = torch.nn.functional.relu(x_389, inplace=True)
+        x_389 = None
+        x_391 = torch.conv2d(
+            x_390,
+            l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_390 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None
+        x_392 = torch.nn.functional.batch_norm(
+            x_391,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_391 = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None
+        x_393 = torch.nn.functional.relu(x_392, inplace=True)
+        x_392 = None
+        x_394 = torch.conv2d(
+            x_393,
+            l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_393 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None
+        x_395 = torch.nn.functional.batch_norm(
+            x_394,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_394 = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None
+        mean_35 = x_395.mean((2, 3))
+        y_105 = mean_35.view(1, 1, -1)
+        mean_35 = None
+        y_106 = torch.conv1d(
+            y_105,
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_105 = (
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_35 = y_106.sigmoid()
+        y_106 = None
+        y_107 = sigmoid_35.view(1, -1, 1, 1)
+        sigmoid_35 = None
+        expand_as_35 = y_107.expand_as(x_395)
+        y_107 = None
+        x_396 = x_395 * expand_as_35
+        x_395 = expand_as_35 = None
+        x_396 += x_387
+        x_397 = x_396
+        x_396 = x_387 = None
+        x_398 = torch.nn.functional.relu(x_397, inplace=True)
+        x_397 = None
+        x_399 = torch.conv2d(
+            x_398,
+            l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None
+        x_400 = torch.nn.functional.batch_norm(
+            x_399,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_399 = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None
+        x_401 = torch.nn.functional.relu(x_400, inplace=True)
+        x_400 = None
+        x_402 = torch.conv2d(
+            x_401,
+            l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_401 = l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = None
+        x_403 = torch.nn.functional.batch_norm(
+            x_402,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_402 = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None
+        x_404 = torch.nn.functional.relu(x_403, inplace=True)
+        x_403 = None
+        x_405 = torch.conv2d(
+            x_404,
+            l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_404 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None
+        x_406 = torch.nn.functional.batch_norm(
+            x_405,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_405 = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None
+        mean_36 = x_406.mean((2, 3))
+        y_108 = mean_36.view(1, 1, -1)
+        mean_36 = None
+        y_109 = torch.conv1d(
+            y_108,
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_108 = (
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_36 = y_109.sigmoid()
+        y_109 = None
+        y_110 = sigmoid_36.view(1, -1, 1, 1)
+        sigmoid_36 = None
+        expand_as_36 = y_110.expand_as(x_406)
+        y_110 = None
+        x_407 = x_406 * expand_as_36
+        x_406 = expand_as_36 = None
+        x_407 += x_398
+        x_408 = x_407
+        x_407 = x_398 = None
+        x_409 = torch.nn.functional.relu(x_408, inplace=True)
+        x_408 = None
+        x_410 = torch.conv2d(
+            x_409,
+            l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None
+        x_411 = torch.nn.functional.batch_norm(
+            x_410,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_410 = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None
+        x_412 = torch.nn.functional.relu(x_411, inplace=True)
+        x_411 = None
+        x_413 = torch.conv2d(
+            x_412,
+            l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_412 = l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = None
+        x_414 = torch.nn.functional.batch_norm(
+            x_413,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_413 = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None
+        x_415 = torch.nn.functional.relu(x_414, inplace=True)
+        x_414 = None
+        x_416 = torch.conv2d(
+            x_415,
+            l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_415 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None
+        x_417 = torch.nn.functional.batch_norm(
+            x_416,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_416 = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None
+        mean_37 = x_417.mean((2, 3))
+        y_111 = mean_37.view(1, 1, -1)
+        mean_37 = None
+        y_112 = torch.conv1d(
+            y_111,
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_111 = (
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_37 = y_112.sigmoid()
+        y_112 = None
+        y_113 = sigmoid_37.view(1, -1, 1, 1)
+        sigmoid_37 = None
+        expand_as_37 = y_113.expand_as(x_417)
+        y_113 = None
+        x_418 = x_417 * expand_as_37
+        x_417 = expand_as_37 = None
+        x_418 += x_409
+        x_419 = x_418
+        x_418 = x_409 = None
+        x_420 = torch.nn.functional.relu(x_419, inplace=True)
+        x_419 = None
+        x_421 = torch.conv2d(
+            x_420,
+            l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None
+        x_422 = torch.nn.functional.batch_norm(
+            x_421,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_421 = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None
+        x_423 = torch.nn.functional.relu(x_422, inplace=True)
+        x_422 = None
+        x_424 = torch.conv2d(
+            x_423,
+            l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_423 = l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = None
+        x_425 = torch.nn.functional.batch_norm(
+            x_424,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_424 = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None
+        x_426 = torch.nn.functional.relu(x_425, inplace=True)
+        x_425 = None
+        x_427 = torch.conv2d(
+            x_426,
+            l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_426 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None
+        x_428 = torch.nn.functional.batch_norm(
+            x_427,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_427 = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None
+        mean_38 = x_428.mean((2, 3))
+        y_114 = mean_38.view(1, 1, -1)
+        mean_38 = None
+        y_115 = torch.conv1d(
+            y_114,
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_114 = (
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_38 = y_115.sigmoid()
+        y_115 = None
+        y_116 = sigmoid_38.view(1, -1, 1, 1)
+        sigmoid_38 = None
+        expand_as_38 = y_116.expand_as(x_428)
+        y_116 = None
+        x_429 = x_428 * expand_as_38
+        x_428 = expand_as_38 = None
+        x_429 += x_420
+        x_430 = x_429
+        x_429 = x_420 = None
+        x_431 = torch.nn.functional.relu(x_430, inplace=True)
+        x_430 = None
+        x_432 = torch.conv2d(
+            x_431,
+            l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = None
+        x_433 = torch.nn.functional.batch_norm(
+            x_432,
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_432 = (
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = None
+        x_434 = torch.nn.functional.relu(x_433, inplace=True)
+        x_433 = None
+        x_435 = torch.conv2d(
+            x_434,
+            l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_434 = l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ = None
+        x_436 = torch.nn.functional.batch_norm(
+            x_435,
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_435 = (
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = None
+        x_437 = torch.nn.functional.relu(x_436, inplace=True)
+        x_436 = None
+        x_438 = torch.conv2d(
+            x_437,
+            l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_437 = l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = None
+        x_439 = torch.nn.functional.batch_norm(
+            x_438,
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_438 = (
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = None
+        mean_39 = x_439.mean((2, 3))
+        y_117 = mean_39.view(1, 1, -1)
+        mean_39 = None
+        y_118 = torch.conv1d(
+            y_117,
+            l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_117 = (
+            l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_39 = y_118.sigmoid()
+        y_118 = None
+        y_119 = sigmoid_39.view(1, -1, 1, 1)
+        sigmoid_39 = None
+        expand_as_39 = y_119.expand_as(x_439)
+        y_119 = None
+        x_440 = x_439 * expand_as_39
+        x_439 = expand_as_39 = None
+        x_440 += x_431
+        x_441 = x_440
+        x_440 = x_431 = None
+        x_442 = torch.nn.functional.relu(x_441, inplace=True)
+        x_441 = None
+        x_443 = torch.conv2d(
+            x_442,
+            l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = None
+        x_444 = torch.nn.functional.batch_norm(
+            x_443,
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_443 = (
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = None
+        x_445 = torch.nn.functional.relu(x_444, inplace=True)
+        x_444 = None
+        x_446 = torch.conv2d(
+            x_445,
+            l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_445 = l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ = None
+        x_447 = torch.nn.functional.batch_norm(
+            x_446,
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_446 = (
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = None
+        x_448 = torch.nn.functional.relu(x_447, inplace=True)
+        x_447 = None
+        x_449 = torch.conv2d(
+            x_448,
+            l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_448 = l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = None
+        x_450 = torch.nn.functional.batch_norm(
+            x_449,
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_449 = (
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = None
+        mean_40 = x_450.mean((2, 3))
+        y_120 = mean_40.view(1, 1, -1)
+        mean_40 = None
+        y_121 = torch.conv1d(
+            y_120,
+            l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_120 = (
+            l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_40 = y_121.sigmoid()
+        y_121 = None
+        y_122 = sigmoid_40.view(1, -1, 1, 1)
+        sigmoid_40 = None
+        expand_as_40 = y_122.expand_as(x_450)
+        y_122 = None
+        x_451 = x_450 * expand_as_40
+        x_450 = expand_as_40 = None
+        x_451 += x_442
+        x_452 = x_451
+        x_451 = x_442 = None
+        x_453 = torch.nn.functional.relu(x_452, inplace=True)
+        x_452 = None
+        x_454 = torch.conv2d(
+            x_453,
+            l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = None
+        x_455 = torch.nn.functional.batch_norm(
+            x_454,
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_454 = (
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = None
+        x_456 = torch.nn.functional.relu(x_455, inplace=True)
+        x_455 = None
+        x_457 = torch.conv2d(
+            x_456,
+            l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_456 = l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ = None
+        x_458 = torch.nn.functional.batch_norm(
+            x_457,
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_457 = (
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = None
+        x_459 = torch.nn.functional.relu(x_458, inplace=True)
+        x_458 = None
+        x_460 = torch.conv2d(
+            x_459,
+            l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_459 = l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = None
+        x_461 = torch.nn.functional.batch_norm(
+            x_460,
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_460 = (
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = None
+        mean_41 = x_461.mean((2, 3))
+        y_123 = mean_41.view(1, 1, -1)
+        mean_41 = None
+        y_124 = torch.conv1d(
+            y_123,
+            l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_123 = (
+            l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_41 = y_124.sigmoid()
+        y_124 = None
+        y_125 = sigmoid_41.view(1, -1, 1, 1)
+        sigmoid_41 = None
+        expand_as_41 = y_125.expand_as(x_461)
+        y_125 = None
+        x_462 = x_461 * expand_as_41
+        x_461 = expand_as_41 = None
+        x_462 += x_453
+        x_463 = x_462
+        x_462 = x_453 = None
+        x_464 = torch.nn.functional.relu(x_463, inplace=True)
+        x_463 = None
+        x_465 = torch.conv2d(
+            x_464,
+            l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = None
+        x_466 = torch.nn.functional.batch_norm(
+            x_465,
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_465 = (
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = None
+        x_467 = torch.nn.functional.relu(x_466, inplace=True)
+        x_466 = None
+        x_468 = torch.conv2d(
+            x_467,
+            l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_467 = l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ = None
+        x_469 = torch.nn.functional.batch_norm(
+            x_468,
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_468 = (
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = None
+        x_470 = torch.nn.functional.relu(x_469, inplace=True)
+        x_469 = None
+        x_471 = torch.conv2d(
+            x_470,
+            l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_470 = l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = None
+        x_472 = torch.nn.functional.batch_norm(
+            x_471,
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_471 = (
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = None
+        mean_42 = x_472.mean((2, 3))
+        y_126 = mean_42.view(1, 1, -1)
+        mean_42 = None
+        y_127 = torch.conv1d(
+            y_126,
+            l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_126 = (
+            l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_42 = y_127.sigmoid()
+        y_127 = None
+        y_128 = sigmoid_42.view(1, -1, 1, 1)
+        sigmoid_42 = None
+        expand_as_42 = y_128.expand_as(x_472)
+        y_128 = None
+        x_473 = x_472 * expand_as_42
+        x_472 = expand_as_42 = None
+        x_473 += x_464
+        x_474 = x_473
+        x_473 = x_464 = None
+        x_475 = torch.nn.functional.relu(x_474, inplace=True)
+        x_474 = None
+        x_476 = torch.conv2d(
+            x_475,
+            l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = None
+        x_477 = torch.nn.functional.batch_norm(
+            x_476,
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_476 = (
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = None
+        x_478 = torch.nn.functional.relu(x_477, inplace=True)
+        x_477 = None
+        x_479 = torch.conv2d(
+            x_478,
+            l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_478 = l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ = None
+        x_480 = torch.nn.functional.batch_norm(
+            x_479,
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_479 = (
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = None
+        x_481 = torch.nn.functional.relu(x_480, inplace=True)
+        x_480 = None
+        x_482 = torch.conv2d(
+            x_481,
+            l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_481 = l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = None
+        x_483 = torch.nn.functional.batch_norm(
+            x_482,
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_482 = (
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = None
+        mean_43 = x_483.mean((2, 3))
+        y_129 = mean_43.view(1, 1, -1)
+        mean_43 = None
+        y_130 = torch.conv1d(
+            y_129,
+            l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_129 = (
+            l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_43 = y_130.sigmoid()
+        y_130 = None
+        y_131 = sigmoid_43.view(1, -1, 1, 1)
+        sigmoid_43 = None
+        expand_as_43 = y_131.expand_as(x_483)
+        y_131 = None
+        x_484 = x_483 * expand_as_43
+        x_483 = expand_as_43 = None
+        x_484 += x_475
+        x_485 = x_484
+        x_484 = x_475 = None
+        x_486 = torch.nn.functional.relu(x_485, inplace=True)
+        x_485 = None
+        x_487 = torch.conv2d(
+            x_486,
+            l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = None
+        x_488 = torch.nn.functional.batch_norm(
+            x_487,
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_487 = (
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = None
+        x_489 = torch.nn.functional.relu(x_488, inplace=True)
+        x_488 = None
+        x_490 = torch.conv2d(
+            x_489,
+            l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_489 = l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ = None
+        x_491 = torch.nn.functional.batch_norm(
+            x_490,
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_490 = (
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ = None
+        x_492 = torch.nn.functional.relu(x_491, inplace=True)
+        x_491 = None
+        x_493 = torch.conv2d(
+            x_492,
+            l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_492 = l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ = None
+        x_494 = torch.nn.functional.batch_norm(
+            x_493,
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_493 = (
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = None
+        mean_44 = x_494.mean((2, 3))
+        y_132 = mean_44.view(1, 1, -1)
+        mean_44 = None
+        y_133 = torch.conv1d(
+            y_132,
+            l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_132 = (
+            l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_44 = y_133.sigmoid()
+        y_133 = None
+        y_134 = sigmoid_44.view(1, -1, 1, 1)
+        sigmoid_44 = None
+        expand_as_44 = y_134.expand_as(x_494)
+        y_134 = None
+        x_495 = x_494 * expand_as_44
+        x_494 = expand_as_44 = None
+        x_495 += x_486
+        x_496 = x_495
+        x_495 = x_486 = None
+        x_497 = torch.nn.functional.relu(x_496, inplace=True)
+        x_496 = None
+        x_498 = torch.conv2d(
+            x_497,
+            l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = None
+        x_499 = torch.nn.functional.batch_norm(
+            x_498,
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_498 = (
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = None
+        x_500 = torch.nn.functional.relu(x_499, inplace=True)
+        x_499 = None
+        x_501 = torch.conv2d(
+            x_500,
+            l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_500 = l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ = None
+        x_502 = torch.nn.functional.batch_norm(
+            x_501,
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_501 = (
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ = None
+        x_503 = torch.nn.functional.relu(x_502, inplace=True)
+        x_502 = None
+        x_504 = torch.conv2d(
+            x_503,
+            l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_503 = l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ = None
+        x_505 = torch.nn.functional.batch_norm(
+            x_504,
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_504 = (
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = None
+        mean_45 = x_505.mean((2, 3))
+        y_135 = mean_45.view(1, 1, -1)
+        mean_45 = None
+        y_136 = torch.conv1d(
+            y_135,
+            l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_135 = (
+            l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_45 = y_136.sigmoid()
+        y_136 = None
+        y_137 = sigmoid_45.view(1, -1, 1, 1)
+        sigmoid_45 = None
+        expand_as_45 = y_137.expand_as(x_505)
+        y_137 = None
+        x_506 = x_505 * expand_as_45
+        x_505 = expand_as_45 = None
+        x_506 += x_497
+        x_507 = x_506
+        x_506 = x_497 = None
+        x_508 = torch.nn.functional.relu(x_507, inplace=True)
+        x_507 = None
+        x_509 = torch.conv2d(
+            x_508,
+            l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = None
+        x_510 = torch.nn.functional.batch_norm(
+            x_509,
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_509 = (
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = None
+        x_511 = torch.nn.functional.relu(x_510, inplace=True)
+        x_510 = None
+        x_512 = torch.conv2d(
+            x_511,
+            l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_511 = l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ = None
+        x_513 = torch.nn.functional.batch_norm(
+            x_512,
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_512 = (
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ = None
+        x_514 = torch.nn.functional.relu(x_513, inplace=True)
+        x_513 = None
+        x_515 = torch.conv2d(
+            x_514,
+            l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_514 = l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ = None
+        x_516 = torch.nn.functional.batch_norm(
+            x_515,
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_515 = (
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = None
+        mean_46 = x_516.mean((2, 3))
+        y_138 = mean_46.view(1, 1, -1)
+        mean_46 = None
+        y_139 = torch.conv1d(
+            y_138,
+            l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_138 = (
+            l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_46 = y_139.sigmoid()
+        y_139 = None
+        y_140 = sigmoid_46.view(1, -1, 1, 1)
+        sigmoid_46 = None
+        expand_as_46 = y_140.expand_as(x_516)
+        y_140 = None
+        x_517 = x_516 * expand_as_46
+        x_516 = expand_as_46 = None
+        x_517 += x_508
+        x_518 = x_517
+        x_517 = x_508 = None
+        x_519 = torch.nn.functional.relu(x_518, inplace=True)
+        x_518 = None
+        x_520 = torch.conv2d(
+            x_519,
+            l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = None
+        x_521 = torch.nn.functional.batch_norm(
+            x_520,
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_520 = (
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = None
+        x_522 = torch.nn.functional.relu(x_521, inplace=True)
+        x_521 = None
+        x_523 = torch.conv2d(
+            x_522,
+            l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_522 = l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ = None
+        x_524 = torch.nn.functional.batch_norm(
+            x_523,
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_523 = (
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ = None
+        x_525 = torch.nn.functional.relu(x_524, inplace=True)
+        x_524 = None
+        x_526 = torch.conv2d(
+            x_525,
+            l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_525 = l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ = None
+        x_527 = torch.nn.functional.batch_norm(
+            x_526,
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_526 = (
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = None
+        mean_47 = x_527.mean((2, 3))
+        y_141 = mean_47.view(1, 1, -1)
+        mean_47 = None
+        y_142 = torch.conv1d(
+            y_141,
+            l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_141 = (
+            l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_47 = y_142.sigmoid()
+        y_142 = None
+        y_143 = sigmoid_47.view(1, -1, 1, 1)
+        sigmoid_47 = None
+        expand_as_47 = y_143.expand_as(x_527)
+        y_143 = None
+        x_528 = x_527 * expand_as_47
+        x_527 = expand_as_47 = None
+        x_528 += x_519
+        x_529 = x_528
+        x_528 = x_519 = None
+        x_530 = torch.nn.functional.relu(x_529, inplace=True)
+        x_529 = None
+        x_531 = torch.conv2d(
+            x_530,
+            l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = None
+        x_532 = torch.nn.functional.batch_norm(
+            x_531,
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_531 = (
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = None
+        x_533 = torch.nn.functional.relu(x_532, inplace=True)
+        x_532 = None
+        x_534 = torch.conv2d(
+            x_533,
+            l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_533 = l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ = None
+        x_535 = torch.nn.functional.batch_norm(
+            x_534,
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_534 = (
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ = None
+        x_536 = torch.nn.functional.relu(x_535, inplace=True)
+        x_535 = None
+        x_537 = torch.conv2d(
+            x_536,
+            l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_536 = l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ = None
+        x_538 = torch.nn.functional.batch_norm(
+            x_537,
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_537 = (
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = None
+        mean_48 = x_538.mean((2, 3))
+        y_144 = mean_48.view(1, 1, -1)
+        mean_48 = None
+        y_145 = torch.conv1d(
+            y_144,
+            l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_144 = (
+            l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_48 = y_145.sigmoid()
+        y_145 = None
+        y_146 = sigmoid_48.view(1, -1, 1, 1)
+        sigmoid_48 = None
+        expand_as_48 = y_146.expand_as(x_538)
+        y_146 = None
+        x_539 = x_538 * expand_as_48
+        x_538 = expand_as_48 = None
+        x_539 += x_530
+        x_540 = x_539
+        x_539 = x_530 = None
+        x_541 = torch.nn.functional.relu(x_540, inplace=True)
+        x_540 = None
+        x_542 = torch.conv2d(
+            x_541,
+            l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = None
+        x_543 = torch.nn.functional.batch_norm(
+            x_542,
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_542 = (
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = None
+        x_544 = torch.nn.functional.relu(x_543, inplace=True)
+        x_543 = None
+        x_545 = torch.conv2d(
+            x_544,
+            l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_544 = l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ = None
+        x_546 = torch.nn.functional.batch_norm(
+            x_545,
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_545 = (
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ = None
+        x_547 = torch.nn.functional.relu(x_546, inplace=True)
+        x_546 = None
+        x_548 = torch.conv2d(
+            x_547,
+            l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_547 = l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ = None
+        x_549 = torch.nn.functional.batch_norm(
+            x_548,
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_548 = (
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = None
+        mean_49 = x_549.mean((2, 3))
+        y_147 = mean_49.view(1, 1, -1)
+        mean_49 = None
+        y_148 = torch.conv1d(
+            y_147,
+            l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_147 = (
+            l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_49 = y_148.sigmoid()
+        y_148 = None
+        y_149 = sigmoid_49.view(1, -1, 1, 1)
+        sigmoid_49 = None
+        expand_as_49 = y_149.expand_as(x_549)
+        y_149 = None
+        x_550 = x_549 * expand_as_49
+        x_549 = expand_as_49 = None
+        x_550 += x_541
+        x_551 = x_550
+        x_550 = x_541 = None
+        x_552 = torch.nn.functional.relu(x_551, inplace=True)
+        x_551 = None
+        x_553 = torch.conv2d(
+            x_552,
+            l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = None
+        x_554 = torch.nn.functional.batch_norm(
+            x_553,
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_553 = (
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = None
+        x_555 = torch.nn.functional.relu(x_554, inplace=True)
+        x_554 = None
+        x_556 = torch.conv2d(
+            x_555,
+            l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_555 = l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ = None
+        x_557 = torch.nn.functional.batch_norm(
+            x_556,
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_556 = (
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ = None
+        x_558 = torch.nn.functional.relu(x_557, inplace=True)
+        x_557 = None
+        x_559 = torch.conv2d(
+            x_558,
+            l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_558 = l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ = None
+        x_560 = torch.nn.functional.batch_norm(
+            x_559,
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_559 = (
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = None
+        mean_50 = x_560.mean((2, 3))
+        y_150 = mean_50.view(1, 1, -1)
+        mean_50 = None
+        y_151 = torch.conv1d(
+            y_150,
+            l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_150 = (
+            l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_50 = y_151.sigmoid()
+        y_151 = None
+        y_152 = sigmoid_50.view(1, -1, 1, 1)
+        sigmoid_50 = None
+        expand_as_50 = y_152.expand_as(x_560)
+        y_152 = None
+        x_561 = x_560 * expand_as_50
+        x_560 = expand_as_50 = None
+        x_561 += x_552
+        x_562 = x_561
+        x_561 = x_552 = None
+        x_563 = torch.nn.functional.relu(x_562, inplace=True)
+        x_562 = None
+        x_564 = torch.conv2d(
+            x_563,
+            l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = None
+        x_565 = torch.nn.functional.batch_norm(
+            x_564,
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_564 = (
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = None
+        x_566 = torch.nn.functional.relu(x_565, inplace=True)
+        x_565 = None
+        x_567 = torch.conv2d(
+            x_566,
+            l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_566 = l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ = None
+        x_568 = torch.nn.functional.batch_norm(
+            x_567,
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_567 = (
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ = None
+        x_569 = torch.nn.functional.relu(x_568, inplace=True)
+        x_568 = None
+        x_570 = torch.conv2d(
+            x_569,
+            l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_569 = l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ = None
+        x_571 = torch.nn.functional.batch_norm(
+            x_570,
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_570 = (
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = None
+        mean_51 = x_571.mean((2, 3))
+        y_153 = mean_51.view(1, 1, -1)
+        mean_51 = None
+        y_154 = torch.conv1d(
+            y_153,
+            l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_153 = (
+            l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_51 = y_154.sigmoid()
+        y_154 = None
+        y_155 = sigmoid_51.view(1, -1, 1, 1)
+        sigmoid_51 = None
+        expand_as_51 = y_155.expand_as(x_571)
+        y_155 = None
+        x_572 = x_571 * expand_as_51
+        x_571 = expand_as_51 = None
+        x_572 += x_563
+        x_573 = x_572
+        x_572 = x_563 = None
+        x_574 = torch.nn.functional.relu(x_573, inplace=True)
+        x_573 = None
+        x_575 = torch.conv2d(
+            x_574,
+            l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = None
+        x_576 = torch.nn.functional.batch_norm(
+            x_575,
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_575 = (
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = None
+        x_577 = torch.nn.functional.relu(x_576, inplace=True)
+        x_576 = None
+        x_578 = torch.conv2d(
+            x_577,
+            l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_577 = l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ = None
+        x_579 = torch.nn.functional.batch_norm(
+            x_578,
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_578 = (
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ = None
+        x_580 = torch.nn.functional.relu(x_579, inplace=True)
+        x_579 = None
+        x_581 = torch.conv2d(
+            x_580,
+            l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_580 = l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ = None
+        x_582 = torch.nn.functional.batch_norm(
+            x_581,
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_581 = (
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = None
+        mean_52 = x_582.mean((2, 3))
+        y_156 = mean_52.view(1, 1, -1)
+        mean_52 = None
+        y_157 = torch.conv1d(
+            y_156,
+            l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_156 = (
+            l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_52 = y_157.sigmoid()
+        y_157 = None
+        y_158 = sigmoid_52.view(1, -1, 1, 1)
+        sigmoid_52 = None
+        expand_as_52 = y_158.expand_as(x_582)
+        y_158 = None
+        x_583 = x_582 * expand_as_52
+        x_582 = expand_as_52 = None
+        x_583 += x_574
+        x_584 = x_583
+        x_583 = x_574 = None
+        x_585 = torch.nn.functional.relu(x_584, inplace=True)
+        x_584 = None
+        x_586 = torch.conv2d(
+            x_585,
+            l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = None
+        x_587 = torch.nn.functional.batch_norm(
+            x_586,
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_586 = (
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = None
+        x_588 = torch.nn.functional.relu(x_587, inplace=True)
+        x_587 = None
+        x_589 = torch.conv2d(
+            x_588,
+            l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_588 = l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ = None
+        x_590 = torch.nn.functional.batch_norm(
+            x_589,
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_589 = (
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ = None
+        x_591 = torch.nn.functional.relu(x_590, inplace=True)
+        x_590 = None
+        x_592 = torch.conv2d(
+            x_591,
+            l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_591 = l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ = None
+        x_593 = torch.nn.functional.batch_norm(
+            x_592,
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_592 = (
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = None
+        mean_53 = x_593.mean((2, 3))
+        y_159 = mean_53.view(1, 1, -1)
+        mean_53 = None
+        y_160 = torch.conv1d(
+            y_159,
+            l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_159 = (
+            l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_53 = y_160.sigmoid()
+        y_160 = None
+        y_161 = sigmoid_53.view(1, -1, 1, 1)
+        sigmoid_53 = None
+        expand_as_53 = y_161.expand_as(x_593)
+        y_161 = None
+        x_594 = x_593 * expand_as_53
+        x_593 = expand_as_53 = None
+        x_594 += x_585
+        x_595 = x_594
+        x_594 = x_585 = None
+        x_596 = torch.nn.functional.relu(x_595, inplace=True)
+        x_595 = None
+        x_597 = torch.conv2d(
+            x_596,
+            l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = None
+        x_598 = torch.nn.functional.batch_norm(
+            x_597,
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_597 = (
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = None
+        x_599 = torch.nn.functional.relu(x_598, inplace=True)
+        x_598 = None
+        x_600 = torch.conv2d(
+            x_599,
+            l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_599 = l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ = None
+        x_601 = torch.nn.functional.batch_norm(
+            x_600,
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_600 = (
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ = None
+        x_602 = torch.nn.functional.relu(x_601, inplace=True)
+        x_601 = None
+        x_603 = torch.conv2d(
+            x_602,
+            l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_602 = l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ = None
+        x_604 = torch.nn.functional.batch_norm(
+            x_603,
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_603 = (
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = None
+        mean_54 = x_604.mean((2, 3))
+        y_162 = mean_54.view(1, 1, -1)
+        mean_54 = None
+        y_163 = torch.conv1d(
+            y_162,
+            l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_162 = (
+            l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_54 = y_163.sigmoid()
+        y_163 = None
+        y_164 = sigmoid_54.view(1, -1, 1, 1)
+        sigmoid_54 = None
+        expand_as_54 = y_164.expand_as(x_604)
+        y_164 = None
+        x_605 = x_604 * expand_as_54
+        x_604 = expand_as_54 = None
+        x_605 += x_596
+        x_606 = x_605
+        x_605 = x_596 = None
+        x_607 = torch.nn.functional.relu(x_606, inplace=True)
+        x_606 = None
+        x_608 = torch.conv2d(
+            x_607,
+            l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = None
+        x_609 = torch.nn.functional.batch_norm(
+            x_608,
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_608 = (
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = None
+        x_610 = torch.nn.functional.relu(x_609, inplace=True)
+        x_609 = None
+        x_611 = torch.conv2d(
+            x_610,
+            l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_610 = l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ = None
+        x_612 = torch.nn.functional.batch_norm(
+            x_611,
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_611 = (
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ = None
+        x_613 = torch.nn.functional.relu(x_612, inplace=True)
+        x_612 = None
+        x_614 = torch.conv2d(
+            x_613,
+            l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_613 = l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ = None
+        x_615 = torch.nn.functional.batch_norm(
+            x_614,
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_614 = (
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = None
+        mean_55 = x_615.mean((2, 3))
+        y_165 = mean_55.view(1, 1, -1)
+        mean_55 = None
+        y_166 = torch.conv1d(
+            y_165,
+            l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_165 = (
+            l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_55 = y_166.sigmoid()
+        y_166 = None
+        y_167 = sigmoid_55.view(1, -1, 1, 1)
+        sigmoid_55 = None
+        expand_as_55 = y_167.expand_as(x_615)
+        y_167 = None
+        x_616 = x_615 * expand_as_55
+        x_615 = expand_as_55 = None
+        x_616 += x_607
+        x_617 = x_616
+        x_616 = x_607 = None
+        x_618 = torch.nn.functional.relu(x_617, inplace=True)
+        x_617 = None
+        x_619 = torch.conv2d(
+            x_618,
+            l_self_modules_layer3_modules_23_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_23_modules_conv1_parameters_weight_ = None
+        x_620 = torch.nn.functional.batch_norm(
+            x_619,
+            l_self_modules_layer3_modules_23_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_23_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_23_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_23_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_619 = (
+            l_self_modules_layer3_modules_23_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_23_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_23_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_23_modules_bn1_parameters_bias_ = None
+        x_621 = torch.nn.functional.relu(x_620, inplace=True)
+        x_620 = None
+        x_622 = torch.conv2d(
+            x_621,
+            l_self_modules_layer3_modules_23_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_621 = l_self_modules_layer3_modules_23_modules_conv2_parameters_weight_ = None
+        x_623 = torch.nn.functional.batch_norm(
+            x_622,
+            l_self_modules_layer3_modules_23_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_23_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_23_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_23_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_622 = (
+            l_self_modules_layer3_modules_23_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_23_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_23_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_23_modules_bn2_parameters_bias_ = None
+        x_624 = torch.nn.functional.relu(x_623, inplace=True)
+        x_623 = None
+        x_625 = torch.conv2d(
+            x_624,
+            l_self_modules_layer3_modules_23_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_624 = l_self_modules_layer3_modules_23_modules_conv3_parameters_weight_ = None
+        x_626 = torch.nn.functional.batch_norm(
+            x_625,
+            l_self_modules_layer3_modules_23_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_23_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_23_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_23_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_625 = (
+            l_self_modules_layer3_modules_23_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_23_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_23_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_23_modules_bn3_parameters_bias_ = None
+        mean_56 = x_626.mean((2, 3))
+        y_168 = mean_56.view(1, 1, -1)
+        mean_56 = None
+        y_169 = torch.conv1d(
+            y_168,
+            l_self_modules_layer3_modules_23_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_168 = (
+            l_self_modules_layer3_modules_23_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_56 = y_169.sigmoid()
+        y_169 = None
+        y_170 = sigmoid_56.view(1, -1, 1, 1)
+        sigmoid_56 = None
+        expand_as_56 = y_170.expand_as(x_626)
+        y_170 = None
+        x_627 = x_626 * expand_as_56
+        x_626 = expand_as_56 = None
+        x_627 += x_618
+        x_628 = x_627
+        x_627 = x_618 = None
+        x_629 = torch.nn.functional.relu(x_628, inplace=True)
+        x_628 = None
+        x_630 = torch.conv2d(
+            x_629,
+            l_self_modules_layer3_modules_24_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_24_modules_conv1_parameters_weight_ = None
+        x_631 = torch.nn.functional.batch_norm(
+            x_630,
+            l_self_modules_layer3_modules_24_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_24_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_24_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_24_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_630 = (
+            l_self_modules_layer3_modules_24_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_24_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_24_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_24_modules_bn1_parameters_bias_ = None
+        x_632 = torch.nn.functional.relu(x_631, inplace=True)
+        x_631 = None
+        x_633 = torch.conv2d(
+            x_632,
+            l_self_modules_layer3_modules_24_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_632 = l_self_modules_layer3_modules_24_modules_conv2_parameters_weight_ = None
+        x_634 = torch.nn.functional.batch_norm(
+            x_633,
+            l_self_modules_layer3_modules_24_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_24_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_24_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_24_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_633 = (
+            l_self_modules_layer3_modules_24_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_24_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_24_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_24_modules_bn2_parameters_bias_ = None
+        x_635 = torch.nn.functional.relu(x_634, inplace=True)
+        x_634 = None
+        x_636 = torch.conv2d(
+            x_635,
+            l_self_modules_layer3_modules_24_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_635 = l_self_modules_layer3_modules_24_modules_conv3_parameters_weight_ = None
+        x_637 = torch.nn.functional.batch_norm(
+            x_636,
+            l_self_modules_layer3_modules_24_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_24_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_24_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_24_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_636 = (
+            l_self_modules_layer3_modules_24_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_24_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_24_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_24_modules_bn3_parameters_bias_ = None
+        mean_57 = x_637.mean((2, 3))
+        y_171 = mean_57.view(1, 1, -1)
+        mean_57 = None
+        y_172 = torch.conv1d(
+            y_171,
+            l_self_modules_layer3_modules_24_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_171 = (
+            l_self_modules_layer3_modules_24_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_57 = y_172.sigmoid()
+        y_172 = None
+        y_173 = sigmoid_57.view(1, -1, 1, 1)
+        sigmoid_57 = None
+        expand_as_57 = y_173.expand_as(x_637)
+        y_173 = None
+        x_638 = x_637 * expand_as_57
+        x_637 = expand_as_57 = None
+        x_638 += x_629
+        x_639 = x_638
+        x_638 = x_629 = None
+        x_640 = torch.nn.functional.relu(x_639, inplace=True)
+        x_639 = None
+        x_641 = torch.conv2d(
+            x_640,
+            l_self_modules_layer3_modules_25_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_25_modules_conv1_parameters_weight_ = None
+        x_642 = torch.nn.functional.batch_norm(
+            x_641,
+            l_self_modules_layer3_modules_25_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_25_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_25_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_25_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_641 = (
+            l_self_modules_layer3_modules_25_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_25_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_25_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_25_modules_bn1_parameters_bias_ = None
+        x_643 = torch.nn.functional.relu(x_642, inplace=True)
+        x_642 = None
+        x_644 = torch.conv2d(
+            x_643,
+            l_self_modules_layer3_modules_25_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_643 = l_self_modules_layer3_modules_25_modules_conv2_parameters_weight_ = None
+        x_645 = torch.nn.functional.batch_norm(
+            x_644,
+            l_self_modules_layer3_modules_25_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_25_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_25_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_25_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_644 = (
+            l_self_modules_layer3_modules_25_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_25_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_25_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_25_modules_bn2_parameters_bias_ = None
+        x_646 = torch.nn.functional.relu(x_645, inplace=True)
+        x_645 = None
+        x_647 = torch.conv2d(
+            x_646,
+            l_self_modules_layer3_modules_25_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_646 = l_self_modules_layer3_modules_25_modules_conv3_parameters_weight_ = None
+        x_648 = torch.nn.functional.batch_norm(
+            x_647,
+            l_self_modules_layer3_modules_25_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_25_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_25_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_25_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_647 = (
+            l_self_modules_layer3_modules_25_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_25_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_25_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_25_modules_bn3_parameters_bias_ = None
+        mean_58 = x_648.mean((2, 3))
+        y_174 = mean_58.view(1, 1, -1)
+        mean_58 = None
+        y_175 = torch.conv1d(
+            y_174,
+            l_self_modules_layer3_modules_25_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_174 = (
+            l_self_modules_layer3_modules_25_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_58 = y_175.sigmoid()
+        y_175 = None
+        y_176 = sigmoid_58.view(1, -1, 1, 1)
+        sigmoid_58 = None
+        expand_as_58 = y_176.expand_as(x_648)
+        y_176 = None
+        x_649 = x_648 * expand_as_58
+        x_648 = expand_as_58 = None
+        x_649 += x_640
+        x_650 = x_649
+        x_649 = x_640 = None
+        x_651 = torch.nn.functional.relu(x_650, inplace=True)
+        x_650 = None
+        x_652 = torch.conv2d(
+            x_651,
+            l_self_modules_layer3_modules_26_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_26_modules_conv1_parameters_weight_ = None
+        x_653 = torch.nn.functional.batch_norm(
+            x_652,
+            l_self_modules_layer3_modules_26_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_26_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_26_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_26_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_652 = (
+            l_self_modules_layer3_modules_26_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_26_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_26_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_26_modules_bn1_parameters_bias_ = None
+        x_654 = torch.nn.functional.relu(x_653, inplace=True)
+        x_653 = None
+        x_655 = torch.conv2d(
+            x_654,
+            l_self_modules_layer3_modules_26_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_654 = l_self_modules_layer3_modules_26_modules_conv2_parameters_weight_ = None
+        x_656 = torch.nn.functional.batch_norm(
+            x_655,
+            l_self_modules_layer3_modules_26_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_26_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_26_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_26_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_655 = (
+            l_self_modules_layer3_modules_26_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_26_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_26_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_26_modules_bn2_parameters_bias_ = None
+        x_657 = torch.nn.functional.relu(x_656, inplace=True)
+        x_656 = None
+        x_658 = torch.conv2d(
+            x_657,
+            l_self_modules_layer3_modules_26_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_657 = l_self_modules_layer3_modules_26_modules_conv3_parameters_weight_ = None
+        x_659 = torch.nn.functional.batch_norm(
+            x_658,
+            l_self_modules_layer3_modules_26_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_26_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_26_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_26_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_658 = (
+            l_self_modules_layer3_modules_26_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_26_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_26_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_26_modules_bn3_parameters_bias_ = None
+        mean_59 = x_659.mean((2, 3))
+        y_177 = mean_59.view(1, 1, -1)
+        mean_59 = None
+        y_178 = torch.conv1d(
+            y_177,
+            l_self_modules_layer3_modules_26_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_177 = (
+            l_self_modules_layer3_modules_26_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_59 = y_178.sigmoid()
+        y_178 = None
+        y_179 = sigmoid_59.view(1, -1, 1, 1)
+        sigmoid_59 = None
+        expand_as_59 = y_179.expand_as(x_659)
+        y_179 = None
+        x_660 = x_659 * expand_as_59
+        x_659 = expand_as_59 = None
+        x_660 += x_651
+        x_661 = x_660
+        x_660 = x_651 = None
+        x_662 = torch.nn.functional.relu(x_661, inplace=True)
+        x_661 = None
+        x_663 = torch.conv2d(
+            x_662,
+            l_self_modules_layer3_modules_27_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_27_modules_conv1_parameters_weight_ = None
+        x_664 = torch.nn.functional.batch_norm(
+            x_663,
+            l_self_modules_layer3_modules_27_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_27_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_27_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_27_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_663 = (
+            l_self_modules_layer3_modules_27_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_27_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_27_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_27_modules_bn1_parameters_bias_ = None
+        x_665 = torch.nn.functional.relu(x_664, inplace=True)
+        x_664 = None
+        x_666 = torch.conv2d(
+            x_665,
+            l_self_modules_layer3_modules_27_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_665 = l_self_modules_layer3_modules_27_modules_conv2_parameters_weight_ = None
+        x_667 = torch.nn.functional.batch_norm(
+            x_666,
+            l_self_modules_layer3_modules_27_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_27_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_27_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_27_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_666 = (
+            l_self_modules_layer3_modules_27_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_27_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_27_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_27_modules_bn2_parameters_bias_ = None
+        x_668 = torch.nn.functional.relu(x_667, inplace=True)
+        x_667 = None
+        x_669 = torch.conv2d(
+            x_668,
+            l_self_modules_layer3_modules_27_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_668 = l_self_modules_layer3_modules_27_modules_conv3_parameters_weight_ = None
+        x_670 = torch.nn.functional.batch_norm(
+            x_669,
+            l_self_modules_layer3_modules_27_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_27_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_27_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_27_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_669 = (
+            l_self_modules_layer3_modules_27_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_27_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_27_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_27_modules_bn3_parameters_bias_ = None
+        mean_60 = x_670.mean((2, 3))
+        y_180 = mean_60.view(1, 1, -1)
+        mean_60 = None
+        y_181 = torch.conv1d(
+            y_180,
+            l_self_modules_layer3_modules_27_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_180 = (
+            l_self_modules_layer3_modules_27_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_60 = y_181.sigmoid()
+        y_181 = None
+        y_182 = sigmoid_60.view(1, -1, 1, 1)
+        sigmoid_60 = None
+        expand_as_60 = y_182.expand_as(x_670)
+        y_182 = None
+        x_671 = x_670 * expand_as_60
+        x_670 = expand_as_60 = None
+        x_671 += x_662
+        x_672 = x_671
+        x_671 = x_662 = None
+        x_673 = torch.nn.functional.relu(x_672, inplace=True)
+        x_672 = None
+        x_674 = torch.conv2d(
+            x_673,
+            l_self_modules_layer3_modules_28_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_28_modules_conv1_parameters_weight_ = None
+        x_675 = torch.nn.functional.batch_norm(
+            x_674,
+            l_self_modules_layer3_modules_28_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_28_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_28_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_28_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_674 = (
+            l_self_modules_layer3_modules_28_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_28_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_28_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_28_modules_bn1_parameters_bias_ = None
+        x_676 = torch.nn.functional.relu(x_675, inplace=True)
+        x_675 = None
+        x_677 = torch.conv2d(
+            x_676,
+            l_self_modules_layer3_modules_28_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_676 = l_self_modules_layer3_modules_28_modules_conv2_parameters_weight_ = None
+        x_678 = torch.nn.functional.batch_norm(
+            x_677,
+            l_self_modules_layer3_modules_28_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_28_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_28_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_28_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_677 = (
+            l_self_modules_layer3_modules_28_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_28_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_28_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_28_modules_bn2_parameters_bias_ = None
+        x_679 = torch.nn.functional.relu(x_678, inplace=True)
+        x_678 = None
+        x_680 = torch.conv2d(
+            x_679,
+            l_self_modules_layer3_modules_28_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_679 = l_self_modules_layer3_modules_28_modules_conv3_parameters_weight_ = None
+        x_681 = torch.nn.functional.batch_norm(
+            x_680,
+            l_self_modules_layer3_modules_28_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_28_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_28_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_28_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_680 = (
+            l_self_modules_layer3_modules_28_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_28_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_28_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_28_modules_bn3_parameters_bias_ = None
+        mean_61 = x_681.mean((2, 3))
+        y_183 = mean_61.view(1, 1, -1)
+        mean_61 = None
+        y_184 = torch.conv1d(
+            y_183,
+            l_self_modules_layer3_modules_28_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_183 = (
+            l_self_modules_layer3_modules_28_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_61 = y_184.sigmoid()
+        y_184 = None
+        y_185 = sigmoid_61.view(1, -1, 1, 1)
+        sigmoid_61 = None
+        expand_as_61 = y_185.expand_as(x_681)
+        y_185 = None
+        x_682 = x_681 * expand_as_61
+        x_681 = expand_as_61 = None
+        x_682 += x_673
+        x_683 = x_682
+        x_682 = x_673 = None
+        x_684 = torch.nn.functional.relu(x_683, inplace=True)
+        x_683 = None
+        x_685 = torch.conv2d(
+            x_684,
+            l_self_modules_layer3_modules_29_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_29_modules_conv1_parameters_weight_ = None
+        x_686 = torch.nn.functional.batch_norm(
+            x_685,
+            l_self_modules_layer3_modules_29_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_29_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_29_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_29_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_685 = (
+            l_self_modules_layer3_modules_29_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_29_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_29_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_29_modules_bn1_parameters_bias_ = None
+        x_687 = torch.nn.functional.relu(x_686, inplace=True)
+        x_686 = None
+        x_688 = torch.conv2d(
+            x_687,
+            l_self_modules_layer3_modules_29_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_687 = l_self_modules_layer3_modules_29_modules_conv2_parameters_weight_ = None
+        x_689 = torch.nn.functional.batch_norm(
+            x_688,
+            l_self_modules_layer3_modules_29_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_29_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_29_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_29_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_688 = (
+            l_self_modules_layer3_modules_29_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_29_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_29_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_29_modules_bn2_parameters_bias_ = None
+        x_690 = torch.nn.functional.relu(x_689, inplace=True)
+        x_689 = None
+        x_691 = torch.conv2d(
+            x_690,
+            l_self_modules_layer3_modules_29_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_690 = l_self_modules_layer3_modules_29_modules_conv3_parameters_weight_ = None
+        x_692 = torch.nn.functional.batch_norm(
+            x_691,
+            l_self_modules_layer3_modules_29_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_29_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_29_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_29_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_691 = (
+            l_self_modules_layer3_modules_29_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_29_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_29_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_29_modules_bn3_parameters_bias_ = None
+        mean_62 = x_692.mean((2, 3))
+        y_186 = mean_62.view(1, 1, -1)
+        mean_62 = None
+        y_187 = torch.conv1d(
+            y_186,
+            l_self_modules_layer3_modules_29_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_186 = (
+            l_self_modules_layer3_modules_29_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_62 = y_187.sigmoid()
+        y_187 = None
+        y_188 = sigmoid_62.view(1, -1, 1, 1)
+        sigmoid_62 = None
+        expand_as_62 = y_188.expand_as(x_692)
+        y_188 = None
+        x_693 = x_692 * expand_as_62
+        x_692 = expand_as_62 = None
+        x_693 += x_684
+        x_694 = x_693
+        x_693 = x_684 = None
+        x_695 = torch.nn.functional.relu(x_694, inplace=True)
+        x_694 = None
+        x_696 = torch.conv2d(
+            x_695,
+            l_self_modules_layer3_modules_30_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_30_modules_conv1_parameters_weight_ = None
+        x_697 = torch.nn.functional.batch_norm(
+            x_696,
+            l_self_modules_layer3_modules_30_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_30_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_30_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_30_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_696 = (
+            l_self_modules_layer3_modules_30_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_30_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_30_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_30_modules_bn1_parameters_bias_ = None
+        x_698 = torch.nn.functional.relu(x_697, inplace=True)
+        x_697 = None
+        x_699 = torch.conv2d(
+            x_698,
+            l_self_modules_layer3_modules_30_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_698 = l_self_modules_layer3_modules_30_modules_conv2_parameters_weight_ = None
+        x_700 = torch.nn.functional.batch_norm(
+            x_699,
+            l_self_modules_layer3_modules_30_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_30_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_30_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_30_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_699 = (
+            l_self_modules_layer3_modules_30_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_30_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_30_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_30_modules_bn2_parameters_bias_ = None
+        x_701 = torch.nn.functional.relu(x_700, inplace=True)
+        x_700 = None
+        x_702 = torch.conv2d(
+            x_701,
+            l_self_modules_layer3_modules_30_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_701 = l_self_modules_layer3_modules_30_modules_conv3_parameters_weight_ = None
+        x_703 = torch.nn.functional.batch_norm(
+            x_702,
+            l_self_modules_layer3_modules_30_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_30_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_30_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_30_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_702 = (
+            l_self_modules_layer3_modules_30_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_30_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_30_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_30_modules_bn3_parameters_bias_ = None
+        mean_63 = x_703.mean((2, 3))
+        y_189 = mean_63.view(1, 1, -1)
+        mean_63 = None
+        y_190 = torch.conv1d(
+            y_189,
+            l_self_modules_layer3_modules_30_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_189 = (
+            l_self_modules_layer3_modules_30_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_63 = y_190.sigmoid()
+        y_190 = None
+        y_191 = sigmoid_63.view(1, -1, 1, 1)
+        sigmoid_63 = None
+        expand_as_63 = y_191.expand_as(x_703)
+        y_191 = None
+        x_704 = x_703 * expand_as_63
+        x_703 = expand_as_63 = None
+        x_704 += x_695
+        x_705 = x_704
+        x_704 = x_695 = None
+        x_706 = torch.nn.functional.relu(x_705, inplace=True)
+        x_705 = None
+        x_707 = torch.conv2d(
+            x_706,
+            l_self_modules_layer3_modules_31_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_31_modules_conv1_parameters_weight_ = None
+        x_708 = torch.nn.functional.batch_norm(
+            x_707,
+            l_self_modules_layer3_modules_31_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_31_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_31_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_31_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_707 = (
+            l_self_modules_layer3_modules_31_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_31_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_31_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_31_modules_bn1_parameters_bias_ = None
+        x_709 = torch.nn.functional.relu(x_708, inplace=True)
+        x_708 = None
+        x_710 = torch.conv2d(
+            x_709,
+            l_self_modules_layer3_modules_31_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_709 = l_self_modules_layer3_modules_31_modules_conv2_parameters_weight_ = None
+        x_711 = torch.nn.functional.batch_norm(
+            x_710,
+            l_self_modules_layer3_modules_31_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_31_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_31_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_31_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_710 = (
+            l_self_modules_layer3_modules_31_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_31_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_31_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_31_modules_bn2_parameters_bias_ = None
+        x_712 = torch.nn.functional.relu(x_711, inplace=True)
+        x_711 = None
+        x_713 = torch.conv2d(
+            x_712,
+            l_self_modules_layer3_modules_31_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_712 = l_self_modules_layer3_modules_31_modules_conv3_parameters_weight_ = None
+        x_714 = torch.nn.functional.batch_norm(
+            x_713,
+            l_self_modules_layer3_modules_31_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_31_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_31_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_31_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_713 = (
+            l_self_modules_layer3_modules_31_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_31_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_31_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_31_modules_bn3_parameters_bias_ = None
+        mean_64 = x_714.mean((2, 3))
+        y_192 = mean_64.view(1, 1, -1)
+        mean_64 = None
+        y_193 = torch.conv1d(
+            y_192,
+            l_self_modules_layer3_modules_31_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_192 = (
+            l_self_modules_layer3_modules_31_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_64 = y_193.sigmoid()
+        y_193 = None
+        y_194 = sigmoid_64.view(1, -1, 1, 1)
+        sigmoid_64 = None
+        expand_as_64 = y_194.expand_as(x_714)
+        y_194 = None
+        x_715 = x_714 * expand_as_64
+        x_714 = expand_as_64 = None
+        x_715 += x_706
+        x_716 = x_715
+        x_715 = x_706 = None
+        x_717 = torch.nn.functional.relu(x_716, inplace=True)
+        x_716 = None
+        x_718 = torch.conv2d(
+            x_717,
+            l_self_modules_layer3_modules_32_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_32_modules_conv1_parameters_weight_ = None
+        x_719 = torch.nn.functional.batch_norm(
+            x_718,
+            l_self_modules_layer3_modules_32_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_32_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_32_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_32_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_718 = (
+            l_self_modules_layer3_modules_32_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_32_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_32_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_32_modules_bn1_parameters_bias_ = None
+        x_720 = torch.nn.functional.relu(x_719, inplace=True)
+        x_719 = None
+        x_721 = torch.conv2d(
+            x_720,
+            l_self_modules_layer3_modules_32_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_720 = l_self_modules_layer3_modules_32_modules_conv2_parameters_weight_ = None
+        x_722 = torch.nn.functional.batch_norm(
+            x_721,
+            l_self_modules_layer3_modules_32_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_32_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_32_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_32_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_721 = (
+            l_self_modules_layer3_modules_32_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_32_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_32_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_32_modules_bn2_parameters_bias_ = None
+        x_723 = torch.nn.functional.relu(x_722, inplace=True)
+        x_722 = None
+        x_724 = torch.conv2d(
+            x_723,
+            l_self_modules_layer3_modules_32_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_723 = l_self_modules_layer3_modules_32_modules_conv3_parameters_weight_ = None
+        x_725 = torch.nn.functional.batch_norm(
+            x_724,
+            l_self_modules_layer3_modules_32_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_32_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_32_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_32_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_724 = (
+            l_self_modules_layer3_modules_32_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_32_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_32_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_32_modules_bn3_parameters_bias_ = None
+        mean_65 = x_725.mean((2, 3))
+        y_195 = mean_65.view(1, 1, -1)
+        mean_65 = None
+        y_196 = torch.conv1d(
+            y_195,
+            l_self_modules_layer3_modules_32_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_195 = (
+            l_self_modules_layer3_modules_32_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_65 = y_196.sigmoid()
+        y_196 = None
+        y_197 = sigmoid_65.view(1, -1, 1, 1)
+        sigmoid_65 = None
+        expand_as_65 = y_197.expand_as(x_725)
+        y_197 = None
+        x_726 = x_725 * expand_as_65
+        x_725 = expand_as_65 = None
+        x_726 += x_717
+        x_727 = x_726
+        x_726 = x_717 = None
+        x_728 = torch.nn.functional.relu(x_727, inplace=True)
+        x_727 = None
+        x_729 = torch.conv2d(
+            x_728,
+            l_self_modules_layer3_modules_33_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_33_modules_conv1_parameters_weight_ = None
+        x_730 = torch.nn.functional.batch_norm(
+            x_729,
+            l_self_modules_layer3_modules_33_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_33_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_33_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_33_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_729 = (
+            l_self_modules_layer3_modules_33_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_33_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_33_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_33_modules_bn1_parameters_bias_ = None
+        x_731 = torch.nn.functional.relu(x_730, inplace=True)
+        x_730 = None
+        x_732 = torch.conv2d(
+            x_731,
+            l_self_modules_layer3_modules_33_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_731 = l_self_modules_layer3_modules_33_modules_conv2_parameters_weight_ = None
+        x_733 = torch.nn.functional.batch_norm(
+            x_732,
+            l_self_modules_layer3_modules_33_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_33_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_33_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_33_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_732 = (
+            l_self_modules_layer3_modules_33_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_33_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_33_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_33_modules_bn2_parameters_bias_ = None
+        x_734 = torch.nn.functional.relu(x_733, inplace=True)
+        x_733 = None
+        x_735 = torch.conv2d(
+            x_734,
+            l_self_modules_layer3_modules_33_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_734 = l_self_modules_layer3_modules_33_modules_conv3_parameters_weight_ = None
+        x_736 = torch.nn.functional.batch_norm(
+            x_735,
+            l_self_modules_layer3_modules_33_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_33_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_33_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_33_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_735 = (
+            l_self_modules_layer3_modules_33_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_33_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_33_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_33_modules_bn3_parameters_bias_ = None
+        mean_66 = x_736.mean((2, 3))
+        y_198 = mean_66.view(1, 1, -1)
+        mean_66 = None
+        y_199 = torch.conv1d(
+            y_198,
+            l_self_modules_layer3_modules_33_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_198 = (
+            l_self_modules_layer3_modules_33_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_66 = y_199.sigmoid()
+        y_199 = None
+        y_200 = sigmoid_66.view(1, -1, 1, 1)
+        sigmoid_66 = None
+        expand_as_66 = y_200.expand_as(x_736)
+        y_200 = None
+        x_737 = x_736 * expand_as_66
+        x_736 = expand_as_66 = None
+        x_737 += x_728
+        x_738 = x_737
+        x_737 = x_728 = None
+        x_739 = torch.nn.functional.relu(x_738, inplace=True)
+        x_738 = None
+        x_740 = torch.conv2d(
+            x_739,
+            l_self_modules_layer3_modules_34_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_34_modules_conv1_parameters_weight_ = None
+        x_741 = torch.nn.functional.batch_norm(
+            x_740,
+            l_self_modules_layer3_modules_34_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_34_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_34_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_34_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_740 = (
+            l_self_modules_layer3_modules_34_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_34_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_34_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_34_modules_bn1_parameters_bias_ = None
+        x_742 = torch.nn.functional.relu(x_741, inplace=True)
+        x_741 = None
+        x_743 = torch.conv2d(
+            x_742,
+            l_self_modules_layer3_modules_34_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_742 = l_self_modules_layer3_modules_34_modules_conv2_parameters_weight_ = None
+        x_744 = torch.nn.functional.batch_norm(
+            x_743,
+            l_self_modules_layer3_modules_34_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_34_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_34_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_34_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_743 = (
+            l_self_modules_layer3_modules_34_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_34_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_34_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_34_modules_bn2_parameters_bias_ = None
+        x_745 = torch.nn.functional.relu(x_744, inplace=True)
+        x_744 = None
+        x_746 = torch.conv2d(
+            x_745,
+            l_self_modules_layer3_modules_34_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_745 = l_self_modules_layer3_modules_34_modules_conv3_parameters_weight_ = None
+        x_747 = torch.nn.functional.batch_norm(
+            x_746,
+            l_self_modules_layer3_modules_34_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_34_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_34_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_34_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_746 = (
+            l_self_modules_layer3_modules_34_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_34_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_34_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_34_modules_bn3_parameters_bias_ = None
+        mean_67 = x_747.mean((2, 3))
+        y_201 = mean_67.view(1, 1, -1)
+        mean_67 = None
+        y_202 = torch.conv1d(
+            y_201,
+            l_self_modules_layer3_modules_34_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_201 = (
+            l_self_modules_layer3_modules_34_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_67 = y_202.sigmoid()
+        y_202 = None
+        y_203 = sigmoid_67.view(1, -1, 1, 1)
+        sigmoid_67 = None
+        expand_as_67 = y_203.expand_as(x_747)
+        y_203 = None
+        x_748 = x_747 * expand_as_67
+        x_747 = expand_as_67 = None
+        x_748 += x_739
+        x_749 = x_748
+        x_748 = x_739 = None
+        x_750 = torch.nn.functional.relu(x_749, inplace=True)
+        x_749 = None
+        x_751 = torch.conv2d(
+            x_750,
+            l_self_modules_layer3_modules_35_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_35_modules_conv1_parameters_weight_ = None
+        x_752 = torch.nn.functional.batch_norm(
+            x_751,
+            l_self_modules_layer3_modules_35_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_35_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_35_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_35_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_751 = (
+            l_self_modules_layer3_modules_35_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_35_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_35_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_35_modules_bn1_parameters_bias_ = None
+        x_753 = torch.nn.functional.relu(x_752, inplace=True)
+        x_752 = None
+        x_754 = torch.conv2d(
+            x_753,
+            l_self_modules_layer3_modules_35_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_753 = l_self_modules_layer3_modules_35_modules_conv2_parameters_weight_ = None
+        x_755 = torch.nn.functional.batch_norm(
+            x_754,
+            l_self_modules_layer3_modules_35_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_35_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_35_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_35_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_754 = (
+            l_self_modules_layer3_modules_35_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_35_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_35_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_35_modules_bn2_parameters_bias_ = None
+        x_756 = torch.nn.functional.relu(x_755, inplace=True)
+        x_755 = None
+        x_757 = torch.conv2d(
+            x_756,
+            l_self_modules_layer3_modules_35_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_756 = l_self_modules_layer3_modules_35_modules_conv3_parameters_weight_ = None
+        x_758 = torch.nn.functional.batch_norm(
+            x_757,
+            l_self_modules_layer3_modules_35_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_35_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_35_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_35_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_757 = (
+            l_self_modules_layer3_modules_35_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_35_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_35_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_35_modules_bn3_parameters_bias_ = None
+        mean_68 = x_758.mean((2, 3))
+        y_204 = mean_68.view(1, 1, -1)
+        mean_68 = None
+        y_205 = torch.conv1d(
+            y_204,
+            l_self_modules_layer3_modules_35_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_204 = (
+            l_self_modules_layer3_modules_35_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_68 = y_205.sigmoid()
+        y_205 = None
+        y_206 = sigmoid_68.view(1, -1, 1, 1)
+        sigmoid_68 = None
+        expand_as_68 = y_206.expand_as(x_758)
+        y_206 = None
+        x_759 = x_758 * expand_as_68
+        x_758 = expand_as_68 = None
+        x_759 += x_750
+        x_760 = x_759
+        x_759 = x_750 = None
+        x_761 = torch.nn.functional.relu(x_760, inplace=True)
+        x_760 = None
+        x_762 = torch.conv2d(
+            x_761,
+            l_self_modules_layer3_modules_36_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_36_modules_conv1_parameters_weight_ = None
+        x_763 = torch.nn.functional.batch_norm(
+            x_762,
+            l_self_modules_layer3_modules_36_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_36_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_36_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_36_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_762 = (
+            l_self_modules_layer3_modules_36_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_36_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_36_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_36_modules_bn1_parameters_bias_ = None
+        x_764 = torch.nn.functional.relu(x_763, inplace=True)
+        x_763 = None
+        x_765 = torch.conv2d(
+            x_764,
+            l_self_modules_layer3_modules_36_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_764 = l_self_modules_layer3_modules_36_modules_conv2_parameters_weight_ = None
+        x_766 = torch.nn.functional.batch_norm(
+            x_765,
+            l_self_modules_layer3_modules_36_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_36_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_36_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_36_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_765 = (
+            l_self_modules_layer3_modules_36_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_36_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_36_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_36_modules_bn2_parameters_bias_ = None
+        x_767 = torch.nn.functional.relu(x_766, inplace=True)
+        x_766 = None
+        x_768 = torch.conv2d(
+            x_767,
+            l_self_modules_layer3_modules_36_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_767 = l_self_modules_layer3_modules_36_modules_conv3_parameters_weight_ = None
+        x_769 = torch.nn.functional.batch_norm(
+            x_768,
+            l_self_modules_layer3_modules_36_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_36_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_36_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_36_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_768 = (
+            l_self_modules_layer3_modules_36_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_36_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_36_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_36_modules_bn3_parameters_bias_ = None
+        mean_69 = x_769.mean((2, 3))
+        y_207 = mean_69.view(1, 1, -1)
+        mean_69 = None
+        y_208 = torch.conv1d(
+            y_207,
+            l_self_modules_layer3_modules_36_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_207 = (
+            l_self_modules_layer3_modules_36_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_69 = y_208.sigmoid()
+        y_208 = None
+        y_209 = sigmoid_69.view(1, -1, 1, 1)
+        sigmoid_69 = None
+        expand_as_69 = y_209.expand_as(x_769)
+        y_209 = None
+        x_770 = x_769 * expand_as_69
+        x_769 = expand_as_69 = None
+        x_770 += x_761
+        x_771 = x_770
+        x_770 = x_761 = None
+        x_772 = torch.nn.functional.relu(x_771, inplace=True)
+        x_771 = None
+        x_773 = torch.conv2d(
+            x_772,
+            l_self_modules_layer3_modules_37_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_37_modules_conv1_parameters_weight_ = None
+        x_774 = torch.nn.functional.batch_norm(
+            x_773,
+            l_self_modules_layer3_modules_37_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_37_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_37_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_37_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_773 = (
+            l_self_modules_layer3_modules_37_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_37_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_37_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_37_modules_bn1_parameters_bias_ = None
+        x_775 = torch.nn.functional.relu(x_774, inplace=True)
+        x_774 = None
+        x_776 = torch.conv2d(
+            x_775,
+            l_self_modules_layer3_modules_37_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_775 = l_self_modules_layer3_modules_37_modules_conv2_parameters_weight_ = None
+        x_777 = torch.nn.functional.batch_norm(
+            x_776,
+            l_self_modules_layer3_modules_37_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_37_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_37_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_37_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_776 = (
+            l_self_modules_layer3_modules_37_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_37_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_37_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_37_modules_bn2_parameters_bias_ = None
+        x_778 = torch.nn.functional.relu(x_777, inplace=True)
+        x_777 = None
+        x_779 = torch.conv2d(
+            x_778,
+            l_self_modules_layer3_modules_37_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_778 = l_self_modules_layer3_modules_37_modules_conv3_parameters_weight_ = None
+        x_780 = torch.nn.functional.batch_norm(
+            x_779,
+            l_self_modules_layer3_modules_37_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_37_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_37_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_37_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_779 = (
+            l_self_modules_layer3_modules_37_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_37_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_37_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_37_modules_bn3_parameters_bias_ = None
+        mean_70 = x_780.mean((2, 3))
+        y_210 = mean_70.view(1, 1, -1)
+        mean_70 = None
+        y_211 = torch.conv1d(
+            y_210,
+            l_self_modules_layer3_modules_37_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_210 = (
+            l_self_modules_layer3_modules_37_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_70 = y_211.sigmoid()
+        y_211 = None
+        y_212 = sigmoid_70.view(1, -1, 1, 1)
+        sigmoid_70 = None
+        expand_as_70 = y_212.expand_as(x_780)
+        y_212 = None
+        x_781 = x_780 * expand_as_70
+        x_780 = expand_as_70 = None
+        x_781 += x_772
+        x_782 = x_781
+        x_781 = x_772 = None
+        x_783 = torch.nn.functional.relu(x_782, inplace=True)
+        x_782 = None
+        x_784 = torch.conv2d(
+            x_783,
+            l_self_modules_layer3_modules_38_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_38_modules_conv1_parameters_weight_ = None
+        x_785 = torch.nn.functional.batch_norm(
+            x_784,
+            l_self_modules_layer3_modules_38_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_38_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_38_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_38_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_784 = (
+            l_self_modules_layer3_modules_38_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_38_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_38_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_38_modules_bn1_parameters_bias_ = None
+        x_786 = torch.nn.functional.relu(x_785, inplace=True)
+        x_785 = None
+        x_787 = torch.conv2d(
+            x_786,
+            l_self_modules_layer3_modules_38_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_786 = l_self_modules_layer3_modules_38_modules_conv2_parameters_weight_ = None
+        x_788 = torch.nn.functional.batch_norm(
+            x_787,
+            l_self_modules_layer3_modules_38_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_38_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_38_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_38_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_787 = (
+            l_self_modules_layer3_modules_38_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_38_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_38_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_38_modules_bn2_parameters_bias_ = None
+        x_789 = torch.nn.functional.relu(x_788, inplace=True)
+        x_788 = None
+        x_790 = torch.conv2d(
+            x_789,
+            l_self_modules_layer3_modules_38_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_789 = l_self_modules_layer3_modules_38_modules_conv3_parameters_weight_ = None
+        x_791 = torch.nn.functional.batch_norm(
+            x_790,
+            l_self_modules_layer3_modules_38_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_38_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_38_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_38_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_790 = (
+            l_self_modules_layer3_modules_38_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_38_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_38_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_38_modules_bn3_parameters_bias_ = None
+        mean_71 = x_791.mean((2, 3))
+        y_213 = mean_71.view(1, 1, -1)
+        mean_71 = None
+        y_214 = torch.conv1d(
+            y_213,
+            l_self_modules_layer3_modules_38_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_213 = (
+            l_self_modules_layer3_modules_38_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_71 = y_214.sigmoid()
+        y_214 = None
+        y_215 = sigmoid_71.view(1, -1, 1, 1)
+        sigmoid_71 = None
+        expand_as_71 = y_215.expand_as(x_791)
+        y_215 = None
+        x_792 = x_791 * expand_as_71
+        x_791 = expand_as_71 = None
+        x_792 += x_783
+        x_793 = x_792
+        x_792 = x_783 = None
+        x_794 = torch.nn.functional.relu(x_793, inplace=True)
+        x_793 = None
+        x_795 = torch.conv2d(
+            x_794,
+            l_self_modules_layer3_modules_39_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_39_modules_conv1_parameters_weight_ = None
+        x_796 = torch.nn.functional.batch_norm(
+            x_795,
+            l_self_modules_layer3_modules_39_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_39_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_39_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_39_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_795 = (
+            l_self_modules_layer3_modules_39_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_39_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_39_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_39_modules_bn1_parameters_bias_ = None
+        x_797 = torch.nn.functional.relu(x_796, inplace=True)
+        x_796 = None
+        x_798 = torch.conv2d(
+            x_797,
+            l_self_modules_layer3_modules_39_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_797 = l_self_modules_layer3_modules_39_modules_conv2_parameters_weight_ = None
+        x_799 = torch.nn.functional.batch_norm(
+            x_798,
+            l_self_modules_layer3_modules_39_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_39_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_39_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_39_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_798 = (
+            l_self_modules_layer3_modules_39_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_39_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_39_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_39_modules_bn2_parameters_bias_ = None
+        x_800 = torch.nn.functional.relu(x_799, inplace=True)
+        x_799 = None
+        x_801 = torch.conv2d(
+            x_800,
+            l_self_modules_layer3_modules_39_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_800 = l_self_modules_layer3_modules_39_modules_conv3_parameters_weight_ = None
+        x_802 = torch.nn.functional.batch_norm(
+            x_801,
+            l_self_modules_layer3_modules_39_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_39_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_39_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_39_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_801 = (
+            l_self_modules_layer3_modules_39_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_39_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_39_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_39_modules_bn3_parameters_bias_ = None
+        mean_72 = x_802.mean((2, 3))
+        y_216 = mean_72.view(1, 1, -1)
+        mean_72 = None
+        y_217 = torch.conv1d(
+            y_216,
+            l_self_modules_layer3_modules_39_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_216 = (
+            l_self_modules_layer3_modules_39_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_72 = y_217.sigmoid()
+        y_217 = None
+        y_218 = sigmoid_72.view(1, -1, 1, 1)
+        sigmoid_72 = None
+        expand_as_72 = y_218.expand_as(x_802)
+        y_218 = None
+        x_803 = x_802 * expand_as_72
+        x_802 = expand_as_72 = None
+        x_803 += x_794
+        x_804 = x_803
+        x_803 = x_794 = None
+        x_805 = torch.nn.functional.relu(x_804, inplace=True)
+        x_804 = None
+        x_806 = torch.conv2d(
+            x_805,
+            l_self_modules_layer3_modules_40_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_40_modules_conv1_parameters_weight_ = None
+        x_807 = torch.nn.functional.batch_norm(
+            x_806,
+            l_self_modules_layer3_modules_40_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_40_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_40_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_40_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_806 = (
+            l_self_modules_layer3_modules_40_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_40_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_40_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_40_modules_bn1_parameters_bias_ = None
+        x_808 = torch.nn.functional.relu(x_807, inplace=True)
+        x_807 = None
+        x_809 = torch.conv2d(
+            x_808,
+            l_self_modules_layer3_modules_40_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_808 = l_self_modules_layer3_modules_40_modules_conv2_parameters_weight_ = None
+        x_810 = torch.nn.functional.batch_norm(
+            x_809,
+            l_self_modules_layer3_modules_40_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_40_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_40_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_40_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_809 = (
+            l_self_modules_layer3_modules_40_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_40_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_40_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_40_modules_bn2_parameters_bias_ = None
+        x_811 = torch.nn.functional.relu(x_810, inplace=True)
+        x_810 = None
+        x_812 = torch.conv2d(
+            x_811,
+            l_self_modules_layer3_modules_40_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_811 = l_self_modules_layer3_modules_40_modules_conv3_parameters_weight_ = None
+        x_813 = torch.nn.functional.batch_norm(
+            x_812,
+            l_self_modules_layer3_modules_40_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_40_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_40_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_40_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_812 = (
+            l_self_modules_layer3_modules_40_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_40_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_40_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_40_modules_bn3_parameters_bias_ = None
+        mean_73 = x_813.mean((2, 3))
+        y_219 = mean_73.view(1, 1, -1)
+        mean_73 = None
+        y_220 = torch.conv1d(
+            y_219,
+            l_self_modules_layer3_modules_40_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_219 = (
+            l_self_modules_layer3_modules_40_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_73 = y_220.sigmoid()
+        y_220 = None
+        y_221 = sigmoid_73.view(1, -1, 1, 1)
+        sigmoid_73 = None
+        expand_as_73 = y_221.expand_as(x_813)
+        y_221 = None
+        x_814 = x_813 * expand_as_73
+        x_813 = expand_as_73 = None
+        x_814 += x_805
+        x_815 = x_814
+        x_814 = x_805 = None
+        x_816 = torch.nn.functional.relu(x_815, inplace=True)
+        x_815 = None
+        x_817 = torch.conv2d(
+            x_816,
+            l_self_modules_layer3_modules_41_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_41_modules_conv1_parameters_weight_ = None
+        x_818 = torch.nn.functional.batch_norm(
+            x_817,
+            l_self_modules_layer3_modules_41_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_41_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_41_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_41_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_817 = (
+            l_self_modules_layer3_modules_41_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_41_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_41_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_41_modules_bn1_parameters_bias_ = None
+        x_819 = torch.nn.functional.relu(x_818, inplace=True)
+        x_818 = None
+        x_820 = torch.conv2d(
+            x_819,
+            l_self_modules_layer3_modules_41_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_819 = l_self_modules_layer3_modules_41_modules_conv2_parameters_weight_ = None
+        x_821 = torch.nn.functional.batch_norm(
+            x_820,
+            l_self_modules_layer3_modules_41_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_41_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_41_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_41_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_820 = (
+            l_self_modules_layer3_modules_41_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_41_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_41_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_41_modules_bn2_parameters_bias_ = None
+        x_822 = torch.nn.functional.relu(x_821, inplace=True)
+        x_821 = None
+        x_823 = torch.conv2d(
+            x_822,
+            l_self_modules_layer3_modules_41_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_822 = l_self_modules_layer3_modules_41_modules_conv3_parameters_weight_ = None
+        x_824 = torch.nn.functional.batch_norm(
+            x_823,
+            l_self_modules_layer3_modules_41_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_41_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_41_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_41_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_823 = (
+            l_self_modules_layer3_modules_41_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_41_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_41_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_41_modules_bn3_parameters_bias_ = None
+        mean_74 = x_824.mean((2, 3))
+        y_222 = mean_74.view(1, 1, -1)
+        mean_74 = None
+        y_223 = torch.conv1d(
+            y_222,
+            l_self_modules_layer3_modules_41_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_222 = (
+            l_self_modules_layer3_modules_41_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_74 = y_223.sigmoid()
+        y_223 = None
+        y_224 = sigmoid_74.view(1, -1, 1, 1)
+        sigmoid_74 = None
+        expand_as_74 = y_224.expand_as(x_824)
+        y_224 = None
+        x_825 = x_824 * expand_as_74
+        x_824 = expand_as_74 = None
+        x_825 += x_816
+        x_826 = x_825
+        x_825 = x_816 = None
+        x_827 = torch.nn.functional.relu(x_826, inplace=True)
+        x_826 = None
+        x_828 = torch.conv2d(
+            x_827,
+            l_self_modules_layer3_modules_42_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_42_modules_conv1_parameters_weight_ = None
+        x_829 = torch.nn.functional.batch_norm(
+            x_828,
+            l_self_modules_layer3_modules_42_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_42_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_42_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_42_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_828 = (
+            l_self_modules_layer3_modules_42_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_42_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_42_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_42_modules_bn1_parameters_bias_ = None
+        x_830 = torch.nn.functional.relu(x_829, inplace=True)
+        x_829 = None
+        x_831 = torch.conv2d(
+            x_830,
+            l_self_modules_layer3_modules_42_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_830 = l_self_modules_layer3_modules_42_modules_conv2_parameters_weight_ = None
+        x_832 = torch.nn.functional.batch_norm(
+            x_831,
+            l_self_modules_layer3_modules_42_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_42_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_42_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_42_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_831 = (
+            l_self_modules_layer3_modules_42_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_42_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_42_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_42_modules_bn2_parameters_bias_ = None
+        x_833 = torch.nn.functional.relu(x_832, inplace=True)
+        x_832 = None
+        x_834 = torch.conv2d(
+            x_833,
+            l_self_modules_layer3_modules_42_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_833 = l_self_modules_layer3_modules_42_modules_conv3_parameters_weight_ = None
+        x_835 = torch.nn.functional.batch_norm(
+            x_834,
+            l_self_modules_layer3_modules_42_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_42_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_42_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_42_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_834 = (
+            l_self_modules_layer3_modules_42_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_42_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_42_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_42_modules_bn3_parameters_bias_ = None
+        mean_75 = x_835.mean((2, 3))
+        y_225 = mean_75.view(1, 1, -1)
+        mean_75 = None
+        y_226 = torch.conv1d(
+            y_225,
+            l_self_modules_layer3_modules_42_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_225 = (
+            l_self_modules_layer3_modules_42_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_75 = y_226.sigmoid()
+        y_226 = None
+        y_227 = sigmoid_75.view(1, -1, 1, 1)
+        sigmoid_75 = None
+        expand_as_75 = y_227.expand_as(x_835)
+        y_227 = None
+        x_836 = x_835 * expand_as_75
+        x_835 = expand_as_75 = None
+        x_836 += x_827
+        x_837 = x_836
+        x_836 = x_827 = None
+        x_838 = torch.nn.functional.relu(x_837, inplace=True)
+        x_837 = None
+        x_839 = torch.conv2d(
+            x_838,
+            l_self_modules_layer3_modules_43_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_43_modules_conv1_parameters_weight_ = None
+        x_840 = torch.nn.functional.batch_norm(
+            x_839,
+            l_self_modules_layer3_modules_43_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_43_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_43_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_43_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_839 = (
+            l_self_modules_layer3_modules_43_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_43_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_43_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_43_modules_bn1_parameters_bias_ = None
+        x_841 = torch.nn.functional.relu(x_840, inplace=True)
+        x_840 = None
+        x_842 = torch.conv2d(
+            x_841,
+            l_self_modules_layer3_modules_43_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_841 = l_self_modules_layer3_modules_43_modules_conv2_parameters_weight_ = None
+        x_843 = torch.nn.functional.batch_norm(
+            x_842,
+            l_self_modules_layer3_modules_43_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_43_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_43_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_43_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_842 = (
+            l_self_modules_layer3_modules_43_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_43_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_43_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_43_modules_bn2_parameters_bias_ = None
+        x_844 = torch.nn.functional.relu(x_843, inplace=True)
+        x_843 = None
+        x_845 = torch.conv2d(
+            x_844,
+            l_self_modules_layer3_modules_43_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_844 = l_self_modules_layer3_modules_43_modules_conv3_parameters_weight_ = None
+        x_846 = torch.nn.functional.batch_norm(
+            x_845,
+            l_self_modules_layer3_modules_43_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_43_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_43_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_43_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_845 = (
+            l_self_modules_layer3_modules_43_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_43_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_43_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_43_modules_bn3_parameters_bias_ = None
+        mean_76 = x_846.mean((2, 3))
+        y_228 = mean_76.view(1, 1, -1)
+        mean_76 = None
+        y_229 = torch.conv1d(
+            y_228,
+            l_self_modules_layer3_modules_43_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_228 = (
+            l_self_modules_layer3_modules_43_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_76 = y_229.sigmoid()
+        y_229 = None
+        y_230 = sigmoid_76.view(1, -1, 1, 1)
+        sigmoid_76 = None
+        expand_as_76 = y_230.expand_as(x_846)
+        y_230 = None
+        x_847 = x_846 * expand_as_76
+        x_846 = expand_as_76 = None
+        x_847 += x_838
+        x_848 = x_847
+        x_847 = x_838 = None
+        x_849 = torch.nn.functional.relu(x_848, inplace=True)
+        x_848 = None
+        x_850 = torch.conv2d(
+            x_849,
+            l_self_modules_layer3_modules_44_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_44_modules_conv1_parameters_weight_ = None
+        x_851 = torch.nn.functional.batch_norm(
+            x_850,
+            l_self_modules_layer3_modules_44_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_44_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_44_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_44_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_850 = (
+            l_self_modules_layer3_modules_44_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_44_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_44_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_44_modules_bn1_parameters_bias_ = None
+        x_852 = torch.nn.functional.relu(x_851, inplace=True)
+        x_851 = None
+        x_853 = torch.conv2d(
+            x_852,
+            l_self_modules_layer3_modules_44_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_852 = l_self_modules_layer3_modules_44_modules_conv2_parameters_weight_ = None
+        x_854 = torch.nn.functional.batch_norm(
+            x_853,
+            l_self_modules_layer3_modules_44_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_44_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_44_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_44_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_853 = (
+            l_self_modules_layer3_modules_44_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_44_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_44_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_44_modules_bn2_parameters_bias_ = None
+        x_855 = torch.nn.functional.relu(x_854, inplace=True)
+        x_854 = None
+        x_856 = torch.conv2d(
+            x_855,
+            l_self_modules_layer3_modules_44_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_855 = l_self_modules_layer3_modules_44_modules_conv3_parameters_weight_ = None
+        x_857 = torch.nn.functional.batch_norm(
+            x_856,
+            l_self_modules_layer3_modules_44_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_44_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_44_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_44_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_856 = (
+            l_self_modules_layer3_modules_44_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_44_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_44_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_44_modules_bn3_parameters_bias_ = None
+        mean_77 = x_857.mean((2, 3))
+        y_231 = mean_77.view(1, 1, -1)
+        mean_77 = None
+        y_232 = torch.conv1d(
+            y_231,
+            l_self_modules_layer3_modules_44_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_231 = (
+            l_self_modules_layer3_modules_44_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_77 = y_232.sigmoid()
+        y_232 = None
+        y_233 = sigmoid_77.view(1, -1, 1, 1)
+        sigmoid_77 = None
+        expand_as_77 = y_233.expand_as(x_857)
+        y_233 = None
+        x_858 = x_857 * expand_as_77
+        x_857 = expand_as_77 = None
+        x_858 += x_849
+        x_859 = x_858
+        x_858 = x_849 = None
+        x_860 = torch.nn.functional.relu(x_859, inplace=True)
+        x_859 = None
+        x_861 = torch.conv2d(
+            x_860,
+            l_self_modules_layer3_modules_45_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_45_modules_conv1_parameters_weight_ = None
+        x_862 = torch.nn.functional.batch_norm(
+            x_861,
+            l_self_modules_layer3_modules_45_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_45_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_45_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_45_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_861 = (
+            l_self_modules_layer3_modules_45_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_45_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_45_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_45_modules_bn1_parameters_bias_ = None
+        x_863 = torch.nn.functional.relu(x_862, inplace=True)
+        x_862 = None
+        x_864 = torch.conv2d(
+            x_863,
+            l_self_modules_layer3_modules_45_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_863 = l_self_modules_layer3_modules_45_modules_conv2_parameters_weight_ = None
+        x_865 = torch.nn.functional.batch_norm(
+            x_864,
+            l_self_modules_layer3_modules_45_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_45_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_45_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_45_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_864 = (
+            l_self_modules_layer3_modules_45_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_45_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_45_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_45_modules_bn2_parameters_bias_ = None
+        x_866 = torch.nn.functional.relu(x_865, inplace=True)
+        x_865 = None
+        x_867 = torch.conv2d(
+            x_866,
+            l_self_modules_layer3_modules_45_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_866 = l_self_modules_layer3_modules_45_modules_conv3_parameters_weight_ = None
+        x_868 = torch.nn.functional.batch_norm(
+            x_867,
+            l_self_modules_layer3_modules_45_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_45_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_45_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_45_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_867 = (
+            l_self_modules_layer3_modules_45_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_45_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_45_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_45_modules_bn3_parameters_bias_ = None
+        mean_78 = x_868.mean((2, 3))
+        y_234 = mean_78.view(1, 1, -1)
+        mean_78 = None
+        y_235 = torch.conv1d(
+            y_234,
+            l_self_modules_layer3_modules_45_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_234 = (
+            l_self_modules_layer3_modules_45_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_78 = y_235.sigmoid()
+        y_235 = None
+        y_236 = sigmoid_78.view(1, -1, 1, 1)
+        sigmoid_78 = None
+        expand_as_78 = y_236.expand_as(x_868)
+        y_236 = None
+        x_869 = x_868 * expand_as_78
+        x_868 = expand_as_78 = None
+        x_869 += x_860
+        x_870 = x_869
+        x_869 = x_860 = None
+        x_871 = torch.nn.functional.relu(x_870, inplace=True)
+        x_870 = None
+        x_872 = torch.conv2d(
+            x_871,
+            l_self_modules_layer3_modules_46_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_46_modules_conv1_parameters_weight_ = None
+        x_873 = torch.nn.functional.batch_norm(
+            x_872,
+            l_self_modules_layer3_modules_46_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_46_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_46_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_46_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_872 = (
+            l_self_modules_layer3_modules_46_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_46_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_46_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_46_modules_bn1_parameters_bias_ = None
+        x_874 = torch.nn.functional.relu(x_873, inplace=True)
+        x_873 = None
+        x_875 = torch.conv2d(
+            x_874,
+            l_self_modules_layer3_modules_46_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_874 = l_self_modules_layer3_modules_46_modules_conv2_parameters_weight_ = None
+        x_876 = torch.nn.functional.batch_norm(
+            x_875,
+            l_self_modules_layer3_modules_46_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_46_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_46_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_46_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_875 = (
+            l_self_modules_layer3_modules_46_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_46_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_46_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_46_modules_bn2_parameters_bias_ = None
+        x_877 = torch.nn.functional.relu(x_876, inplace=True)
+        x_876 = None
+        x_878 = torch.conv2d(
+            x_877,
+            l_self_modules_layer3_modules_46_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_877 = l_self_modules_layer3_modules_46_modules_conv3_parameters_weight_ = None
+        x_879 = torch.nn.functional.batch_norm(
+            x_878,
+            l_self_modules_layer3_modules_46_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_46_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_46_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_46_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_878 = (
+            l_self_modules_layer3_modules_46_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_46_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_46_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_46_modules_bn3_parameters_bias_ = None
+        mean_79 = x_879.mean((2, 3))
+        y_237 = mean_79.view(1, 1, -1)
+        mean_79 = None
+        y_238 = torch.conv1d(
+            y_237,
+            l_self_modules_layer3_modules_46_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_237 = (
+            l_self_modules_layer3_modules_46_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_79 = y_238.sigmoid()
+        y_238 = None
+        y_239 = sigmoid_79.view(1, -1, 1, 1)
+        sigmoid_79 = None
+        expand_as_79 = y_239.expand_as(x_879)
+        y_239 = None
+        x_880 = x_879 * expand_as_79
+        x_879 = expand_as_79 = None
+        x_880 += x_871
+        x_881 = x_880
+        x_880 = x_871 = None
+        x_882 = torch.nn.functional.relu(x_881, inplace=True)
+        x_881 = None
+        x_883 = torch.conv2d(
+            x_882,
+            l_self_modules_layer3_modules_47_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_47_modules_conv1_parameters_weight_ = None
+        x_884 = torch.nn.functional.batch_norm(
+            x_883,
+            l_self_modules_layer3_modules_47_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_47_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_47_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_47_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_883 = (
+            l_self_modules_layer3_modules_47_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_47_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_47_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_47_modules_bn1_parameters_bias_ = None
+        x_885 = torch.nn.functional.relu(x_884, inplace=True)
+        x_884 = None
+        x_886 = torch.conv2d(
+            x_885,
+            l_self_modules_layer3_modules_47_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_885 = l_self_modules_layer3_modules_47_modules_conv2_parameters_weight_ = None
+        x_887 = torch.nn.functional.batch_norm(
+            x_886,
+            l_self_modules_layer3_modules_47_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_47_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_47_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_47_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_886 = (
+            l_self_modules_layer3_modules_47_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_47_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_47_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_47_modules_bn2_parameters_bias_ = None
+        x_888 = torch.nn.functional.relu(x_887, inplace=True)
+        x_887 = None
+        x_889 = torch.conv2d(
+            x_888,
+            l_self_modules_layer3_modules_47_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_888 = l_self_modules_layer3_modules_47_modules_conv3_parameters_weight_ = None
+        x_890 = torch.nn.functional.batch_norm(
+            x_889,
+            l_self_modules_layer3_modules_47_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_47_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_47_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_47_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_889 = (
+            l_self_modules_layer3_modules_47_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_47_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_47_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_47_modules_bn3_parameters_bias_ = None
+        mean_80 = x_890.mean((2, 3))
+        y_240 = mean_80.view(1, 1, -1)
+        mean_80 = None
+        y_241 = torch.conv1d(
+            y_240,
+            l_self_modules_layer3_modules_47_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_240 = (
+            l_self_modules_layer3_modules_47_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_80 = y_241.sigmoid()
+        y_241 = None
+        y_242 = sigmoid_80.view(1, -1, 1, 1)
+        sigmoid_80 = None
+        expand_as_80 = y_242.expand_as(x_890)
+        y_242 = None
+        x_891 = x_890 * expand_as_80
+        x_890 = expand_as_80 = None
+        x_891 += x_882
+        x_892 = x_891
+        x_891 = x_882 = None
+        x_893 = torch.nn.functional.relu(x_892, inplace=True)
+        x_892 = None
+        x_894 = torch.conv2d(
+            x_893,
+            l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None
+        x_895 = torch.nn.functional.batch_norm(
+            x_894,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_894 = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None
+        x_896 = torch.nn.functional.relu(x_895, inplace=True)
+        x_895 = None
+        x_897 = torch.conv2d(
+            x_896,
+            l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_896 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None
+        x_898 = torch.nn.functional.batch_norm(
+            x_897,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_897 = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None
+        x_899 = torch.nn.functional.relu(x_898, inplace=True)
+        x_898 = None
+        x_900 = torch.conv2d(
+            x_899,
+            l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_899 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None
+        x_901 = torch.nn.functional.batch_norm(
+            x_900,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_900 = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None
+        mean_81 = x_901.mean((2, 3))
+        floordiv_3 = sym_sum // 32
+        sym_sum = None
+        sym_sum_4 = torch.sym_sum([1, floordiv_3])
+        floordiv_3 = sym_sum_4 = None
+        y_243 = mean_81.view(1, 1, -1)
+        mean_81 = None
+        y_244 = torch.conv1d(
+            y_243,
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_243 = (
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_81 = y_244.sigmoid()
+        y_244 = None
+        y_245 = sigmoid_81.view(1, -1, 1, 1)
+        sigmoid_81 = None
+        expand_as_81 = y_245.expand_as(x_901)
+        y_245 = None
+        x_902 = x_901 * expand_as_81
+        x_901 = expand_as_81 = None
+        input_16 = torch._C._nn.avg_pool2d(x_893, 2, 2, 0, True, False, None)
+        x_893 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_16 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_902 += input_18
+        x_903 = x_902
+        x_902 = input_18 = None
+        x_904 = torch.nn.functional.relu(x_903, inplace=True)
+        x_903 = None
+        x_905 = torch.conv2d(
+            x_904,
+            l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None
+        x_906 = torch.nn.functional.batch_norm(
+            x_905,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_905 = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None
+        x_907 = torch.nn.functional.relu(x_906, inplace=True)
+        x_906 = None
+        x_908 = torch.conv2d(
+            x_907,
+            l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_907 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None
+        x_909 = torch.nn.functional.batch_norm(
+            x_908,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_908 = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None
+        x_910 = torch.nn.functional.relu(x_909, inplace=True)
+        x_909 = None
+        x_911 = torch.conv2d(
+            x_910,
+            l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_910 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None
+        x_912 = torch.nn.functional.batch_norm(
+            x_911,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_911 = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None
+        mean_82 = x_912.mean((2, 3))
+        y_246 = mean_82.view(1, 1, -1)
+        mean_82 = None
+        y_247 = torch.conv1d(
+            y_246,
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_246 = (
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_82 = y_247.sigmoid()
+        y_247 = None
+        y_248 = sigmoid_82.view(1, -1, 1, 1)
+        sigmoid_82 = None
+        expand_as_82 = y_248.expand_as(x_912)
+        y_248 = None
+        x_913 = x_912 * expand_as_82
+        x_912 = expand_as_82 = None
+        x_913 += x_904
+        x_914 = x_913
+        x_913 = x_904 = None
+        x_915 = torch.nn.functional.relu(x_914, inplace=True)
+        x_914 = None
+        x_916 = torch.conv2d(
+            x_915,
+            l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None
+        x_917 = torch.nn.functional.batch_norm(
+            x_916,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_916 = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None
+        x_918 = torch.nn.functional.relu(x_917, inplace=True)
+        x_917 = None
+        x_919 = torch.conv2d(
+            x_918,
+            l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_918 = l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = None
+        x_920 = torch.nn.functional.batch_norm(
+            x_919,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_919 = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None
+        x_921 = torch.nn.functional.relu(x_920, inplace=True)
+        x_920 = None
+        x_922 = torch.conv2d(
+            x_921,
+            l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_921 = l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = None
+        x_923 = torch.nn.functional.batch_norm(
+            x_922,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_922 = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None
+        mean_83 = x_923.mean((2, 3))
+        y_249 = mean_83.view(1, 1, -1)
+        mean_83 = None
+        y_250 = torch.conv1d(
+            y_249,
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_249 = (
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_83 = y_250.sigmoid()
+        y_250 = None
+        y_251 = sigmoid_83.view(1, -1, 1, 1)
+        sigmoid_83 = None
+        expand_as_83 = y_251.expand_as(x_923)
+        y_251 = None
+        x_924 = x_923 * expand_as_83
+        x_923 = expand_as_83 = None
+        x_924 += x_915
+        x_925 = x_924
+        x_924 = x_915 = None
+        x_926 = torch.nn.functional.relu(x_925, inplace=True)
+        x_925 = None
+        x_927 = torch.conv2d(
+            x_926,
+            l_self_modules_layer4_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_3_modules_conv1_parameters_weight_ = None
+        x_928 = torch.nn.functional.batch_norm(
+            x_927,
+            l_self_modules_layer4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_927 = (
+            l_self_modules_layer4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_3_modules_bn1_parameters_bias_ = None
+        x_929 = torch.nn.functional.relu(x_928, inplace=True)
+        x_928 = None
+        x_930 = torch.conv2d(
+            x_929,
+            l_self_modules_layer4_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_929 = l_self_modules_layer4_modules_3_modules_conv2_parameters_weight_ = None
+        x_931 = torch.nn.functional.batch_norm(
+            x_930,
+            l_self_modules_layer4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_930 = (
+            l_self_modules_layer4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_3_modules_bn2_parameters_bias_ = None
+        x_932 = torch.nn.functional.relu(x_931, inplace=True)
+        x_931 = None
+        x_933 = torch.conv2d(
+            x_932,
+            l_self_modules_layer4_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_932 = l_self_modules_layer4_modules_3_modules_conv3_parameters_weight_ = None
+        x_934 = torch.nn.functional.batch_norm(
+            x_933,
+            l_self_modules_layer4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_933 = (
+            l_self_modules_layer4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_3_modules_bn3_parameters_bias_ = None
+        mean_84 = x_934.mean((2, 3))
+        y_252 = mean_84.view(1, 1, -1)
+        mean_84 = None
+        y_253 = torch.conv1d(
+            y_252,
+            l_self_modules_layer4_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_252 = (
+            l_self_modules_layer4_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_84 = y_253.sigmoid()
+        y_253 = None
+        y_254 = sigmoid_84.view(1, -1, 1, 1)
+        sigmoid_84 = None
+        expand_as_84 = y_254.expand_as(x_934)
+        y_254 = None
+        x_935 = x_934 * expand_as_84
+        x_934 = expand_as_84 = None
+        x_935 += x_926
+        x_936 = x_935
+        x_935 = x_926 = None
+        x_937 = torch.nn.functional.relu(x_936, inplace=True)
+        x_936 = None
+        x_938 = torch.conv2d(
+            x_937,
+            l_self_modules_layer4_modules_4_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_4_modules_conv1_parameters_weight_ = None
+        x_939 = torch.nn.functional.batch_norm(
+            x_938,
+            l_self_modules_layer4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_938 = (
+            l_self_modules_layer4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_4_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_4_modules_bn1_parameters_bias_ = None
+        x_940 = torch.nn.functional.relu(x_939, inplace=True)
+        x_939 = None
+        x_941 = torch.conv2d(
+            x_940,
+            l_self_modules_layer4_modules_4_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_940 = l_self_modules_layer4_modules_4_modules_conv2_parameters_weight_ = None
+        x_942 = torch.nn.functional.batch_norm(
+            x_941,
+            l_self_modules_layer4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_941 = (
+            l_self_modules_layer4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_4_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_4_modules_bn2_parameters_bias_ = None
+        x_943 = torch.nn.functional.relu(x_942, inplace=True)
+        x_942 = None
+        x_944 = torch.conv2d(
+            x_943,
+            l_self_modules_layer4_modules_4_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_943 = l_self_modules_layer4_modules_4_modules_conv3_parameters_weight_ = None
+        x_945 = torch.nn.functional.batch_norm(
+            x_944,
+            l_self_modules_layer4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_944 = (
+            l_self_modules_layer4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_4_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_4_modules_bn3_parameters_bias_ = None
+        mean_85 = x_945.mean((2, 3))
+        y_255 = mean_85.view(1, 1, -1)
+        mean_85 = None
+        y_256 = torch.conv1d(
+            y_255,
+            l_self_modules_layer4_modules_4_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_255 = (
+            l_self_modules_layer4_modules_4_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_85 = y_256.sigmoid()
+        y_256 = None
+        y_257 = sigmoid_85.view(1, -1, 1, 1)
+        sigmoid_85 = None
+        expand_as_85 = y_257.expand_as(x_945)
+        y_257 = None
+        x_946 = x_945 * expand_as_85
+        x_945 = expand_as_85 = None
+        x_946 += x_937
+        x_947 = x_946
+        x_946 = x_937 = None
+        x_948 = torch.nn.functional.relu(x_947, inplace=True)
+        x_947 = None
+        x_949 = torch.conv2d(
+            x_948,
+            l_self_modules_layer4_modules_5_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_5_modules_conv1_parameters_weight_ = None
+        x_950 = torch.nn.functional.batch_norm(
+            x_949,
+            l_self_modules_layer4_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_949 = (
+            l_self_modules_layer4_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_5_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_5_modules_bn1_parameters_bias_ = None
+        x_951 = torch.nn.functional.relu(x_950, inplace=True)
+        x_950 = None
+        x_952 = torch.conv2d(
+            x_951,
+            l_self_modules_layer4_modules_5_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_951 = l_self_modules_layer4_modules_5_modules_conv2_parameters_weight_ = None
+        x_953 = torch.nn.functional.batch_norm(
+            x_952,
+            l_self_modules_layer4_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_952 = (
+            l_self_modules_layer4_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_5_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_5_modules_bn2_parameters_bias_ = None
+        x_954 = torch.nn.functional.relu(x_953, inplace=True)
+        x_953 = None
+        x_955 = torch.conv2d(
+            x_954,
+            l_self_modules_layer4_modules_5_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_954 = l_self_modules_layer4_modules_5_modules_conv3_parameters_weight_ = None
+        x_956 = torch.nn.functional.batch_norm(
+            x_955,
+            l_self_modules_layer4_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_955 = (
+            l_self_modules_layer4_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_5_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_5_modules_bn3_parameters_bias_ = None
+        mean_86 = x_956.mean((2, 3))
+        y_258 = mean_86.view(1, 1, -1)
+        mean_86 = None
+        y_259 = torch.conv1d(
+            y_258,
+            l_self_modules_layer4_modules_5_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_258 = (
+            l_self_modules_layer4_modules_5_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_86 = y_259.sigmoid()
+        y_259 = None
+        y_260 = sigmoid_86.view(1, -1, 1, 1)
+        sigmoid_86 = None
+        expand_as_86 = y_260.expand_as(x_956)
+        y_260 = None
+        x_957 = x_956 * expand_as_86
+        x_956 = expand_as_86 = None
+        x_957 += x_948
+        x_958 = x_957
+        x_957 = x_948 = None
+        x_959 = torch.nn.functional.relu(x_958, inplace=True)
+        x_958 = None
+        x_960 = torch.conv2d(
+            x_959,
+            l_self_modules_layer4_modules_6_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_6_modules_conv1_parameters_weight_ = None
+        x_961 = torch.nn.functional.batch_norm(
+            x_960,
+            l_self_modules_layer4_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_960 = (
+            l_self_modules_layer4_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_6_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_6_modules_bn1_parameters_bias_ = None
+        x_962 = torch.nn.functional.relu(x_961, inplace=True)
+        x_961 = None
+        x_963 = torch.conv2d(
+            x_962,
+            l_self_modules_layer4_modules_6_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_962 = l_self_modules_layer4_modules_6_modules_conv2_parameters_weight_ = None
+        x_964 = torch.nn.functional.batch_norm(
+            x_963,
+            l_self_modules_layer4_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_963 = (
+            l_self_modules_layer4_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_6_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_6_modules_bn2_parameters_bias_ = None
+        x_965 = torch.nn.functional.relu(x_964, inplace=True)
+        x_964 = None
+        x_966 = torch.conv2d(
+            x_965,
+            l_self_modules_layer4_modules_6_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_965 = l_self_modules_layer4_modules_6_modules_conv3_parameters_weight_ = None
+        x_967 = torch.nn.functional.batch_norm(
+            x_966,
+            l_self_modules_layer4_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_966 = (
+            l_self_modules_layer4_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_6_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_6_modules_bn3_parameters_bias_ = None
+        mean_87 = x_967.mean((2, 3))
+        y_261 = mean_87.view(1, 1, -1)
+        mean_87 = None
+        y_262 = torch.conv1d(
+            y_261,
+            l_self_modules_layer4_modules_6_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_261 = (
+            l_self_modules_layer4_modules_6_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_87 = y_262.sigmoid()
+        y_262 = None
+        y_263 = sigmoid_87.view(1, -1, 1, 1)
+        sigmoid_87 = None
+        expand_as_87 = y_263.expand_as(x_967)
+        y_263 = None
+        x_968 = x_967 * expand_as_87
+        x_967 = expand_as_87 = None
+        x_968 += x_959
+        x_969 = x_968
+        x_968 = x_959 = None
+        x_970 = torch.nn.functional.relu(x_969, inplace=True)
+        x_969 = None
+        x_971 = torch.conv2d(
+            x_970,
+            l_self_modules_layer4_modules_7_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_7_modules_conv1_parameters_weight_ = None
+        x_972 = torch.nn.functional.batch_norm(
+            x_971,
+            l_self_modules_layer4_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_971 = (
+            l_self_modules_layer4_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_7_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_7_modules_bn1_parameters_bias_ = None
+        x_973 = torch.nn.functional.relu(x_972, inplace=True)
+        x_972 = None
+        x_974 = torch.conv2d(
+            x_973,
+            l_self_modules_layer4_modules_7_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_973 = l_self_modules_layer4_modules_7_modules_conv2_parameters_weight_ = None
+        x_975 = torch.nn.functional.batch_norm(
+            x_974,
+            l_self_modules_layer4_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_974 = (
+            l_self_modules_layer4_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_7_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_7_modules_bn2_parameters_bias_ = None
+        x_976 = torch.nn.functional.relu(x_975, inplace=True)
+        x_975 = None
+        x_977 = torch.conv2d(
+            x_976,
+            l_self_modules_layer4_modules_7_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_976 = l_self_modules_layer4_modules_7_modules_conv3_parameters_weight_ = None
+        x_978 = torch.nn.functional.batch_norm(
+            x_977,
+            l_self_modules_layer4_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_977 = (
+            l_self_modules_layer4_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_7_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_7_modules_bn3_parameters_bias_ = None
+        mean_88 = x_978.mean((2, 3))
+        y_264 = mean_88.view(1, 1, -1)
+        mean_88 = None
+        y_265 = torch.conv1d(
+            y_264,
+            l_self_modules_layer4_modules_7_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_264 = (
+            l_self_modules_layer4_modules_7_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_88 = y_265.sigmoid()
+        y_265 = None
+        y_266 = sigmoid_88.view(1, -1, 1, 1)
+        sigmoid_88 = None
+        expand_as_88 = y_266.expand_as(x_978)
+        y_266 = None
+        x_979 = x_978 * expand_as_88
+        x_978 = expand_as_88 = None
+        x_979 += x_970
+        x_980 = x_979
+        x_979 = x_970 = None
+        x_981 = torch.nn.functional.relu(x_980, inplace=True)
+        x_980 = None
+        x_982 = torch.nn.functional.adaptive_avg_pool2d(x_981, 1)
+        x_981 = None
+        x_983 = x_982.flatten(1, -1)
+        x_982 = None
+        x_984 = torch._C._nn.linear(
+            x_983,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+        )
+        x_983 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        return (x_984,)
diff --git a/samples/timm/ecaresnet269d.ra2_in1k/weight_meta.py b/samples/timm/ecaresnet269d.ra2_in1k/weight_meta.py
new file mode 100644
index 000000000..f973c05c9
--- /dev/null
+++ b/samples/timm/ecaresnet269d.ra2_in1k/weight_meta.py
@@ -0,0 +1,14636 @@
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_0_parameters_weight_:
+    name = "L_self_modules_conv1_modules_0_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.230
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_:
+    name = "L_self_modules_conv1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_:
+    name = "L_self_modules_conv1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_:
+    name = "L_self_modules_conv1_modules_3_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_weight_:
+    name = "L_self_modules_conv1_modules_4_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_bias_:
+    name = "L_self_modules_conv1_modules_4_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_6_parameters_weight_:
+    name = "L_self_modules_conv1_modules_6_parameters_weight_"
+    shape = [64, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.179
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.052
+    std = 0.293
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.139
+    std = 0.110
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.024
+    std = 0.259
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.044
+    std = 0.267
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.085
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.269
+    std = 0.214
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.032
+    std = 0.241
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_4_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_4_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_4_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_4_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_4_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_4_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_4_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_4_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_4_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_4_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_4_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_4_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_4_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_4_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.318
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_5_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_5_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_5_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_5_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_5_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_5_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_5_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_5_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_5_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_5_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_5_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_5_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_5_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_5_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.137
+    std = 0.221
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_6_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_6_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_6_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_6_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_6_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_6_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_6_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_6_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_6_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_6_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_6_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_6_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_6_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_6_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.025
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_7_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_7_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_7_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_7_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_7_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_7_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_7_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_7_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_7_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_7_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_7_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_7_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_7_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_7_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.117
+    std = 0.269
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_8_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_8_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_8_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_8_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_8_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_8_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_8_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_8_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_8_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_8_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_8_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_8_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_8_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_8_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.046
+    std = 0.269
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_9_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_9_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_9_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_9_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_9_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_9_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_9_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_9_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_9_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_9_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_9_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_9_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_9_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_9_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_9_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_9_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_9_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.359
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_10_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_10_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_10_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_10_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_10_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_10_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_10_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_10_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_10_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_10_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_10_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_10_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_10_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_10_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_10_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_10_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_10_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.023
+    std = 0.228
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_11_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_11_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_11_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_11_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_11_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_11_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_11_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_11_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_11_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_11_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_11_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_11_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_11_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_11_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_11_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_11_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_11_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.083
+    std = 0.331
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_12_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_12_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_12_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_12_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_12_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_12_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_12_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_12_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_12_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_12_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_12_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_12_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_12_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_12_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_12_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_12_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_12_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.333
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_13_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_13_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_13_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_13_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_13_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_13_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_13_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_13_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_13_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_13_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_13_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_13_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_13_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_13_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_13_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_13_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_13_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.153
+    std = 0.148
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_14_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_14_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_14_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_14_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_14_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_14_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_14_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_14_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_14_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_14_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_14_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_14_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_14_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_14_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_14_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_14_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_14_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.056
+    std = 0.231
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_15_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_15_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_15_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_15_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_15_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_15_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_15_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_15_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_15_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_15_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_15_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_15_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_15_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_15_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_15_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_15_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_15_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.272
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_16_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_16_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_16_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_16_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_16_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_16_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_16_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_16_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_16_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_16_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_16_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_16_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_16_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_16_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_16_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_16_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_16_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.011
+    std = 0.408
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_17_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_17_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_17_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_17_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_17_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_17_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_17_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_17_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_17_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_17_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_17_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_17_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_17_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_17_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_17_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_17_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_17_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.044
+    std = 0.333
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_18_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_18_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_18_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_18_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_18_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_18_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_18_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_18_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_18_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_18_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_18_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_18_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_18_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_18_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_18_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_18_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_18_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.033
+    std = 0.181
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_19_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_19_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_19_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_19_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_19_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_19_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_19_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_19_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_19_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_19_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_19_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_19_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_19_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_19_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_19_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_19_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_19_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.059
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_20_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_20_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_20_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_20_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_20_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_20_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_20_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_20_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_20_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_20_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_20_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_20_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_20_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_20_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_20_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_20_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_20_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.029
+    std = 0.314
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_21_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_21_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_21_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_21_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_21_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_21_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_21_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_21_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_21_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_21_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_21_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_21_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_21_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_21_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_21_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_21_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_21_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.019
+    std = 0.231
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_22_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_22_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_22_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_22_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_22_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_22_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_22_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_22_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_22_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_22_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_22_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_22_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_22_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_22_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_22_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_22_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_22_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.016
+    std = 0.276
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_23_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_23_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_23_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_23_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_23_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_23_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_23_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_23_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_23_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_23_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_23_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_23_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_23_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_23_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_23_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_23_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_23_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.083
+    std = 0.306
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_24_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_24_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_24_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_24_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_24_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_24_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_24_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_24_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_24_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_24_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_24_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_24_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_24_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_24_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_24_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_24_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_24_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.251
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_25_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_25_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_25_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_25_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_25_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_25_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_25_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_25_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_25_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_25_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_25_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_25_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_25_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_25_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_25_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_25_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_25_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.046
+    std = 0.313
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_26_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_26_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_26_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_26_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_26_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_26_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_26_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_26_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_26_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_26_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_26_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_26_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_26_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_26_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_26_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_26_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_26_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.266
+    std = 0.119
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_27_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_27_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_27_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_27_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_27_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_27_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_27_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_27_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_27_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_27_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_27_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_27_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_27_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_27_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_27_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_27_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_27_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.097
+    std = 0.238
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_28_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_28_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_28_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_28_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_28_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_28_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_28_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_28_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_28_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_28_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_28_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_28_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_28_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_28_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_28_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_28_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_28_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.242
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_29_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_29_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_29_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_29_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_29_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_29_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_29_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_29_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_29_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_29_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_29_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_29_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_29_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_29_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_29_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_29_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_29_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.193
+    std = 0.237
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.093
+    std = 0.268
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.081
+    std = 0.264
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.050
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.025
+    std = 0.292
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.139
+    std = 0.379
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.058
+    std = 0.354
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.251
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.038
+    std = 0.206
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.143
+    std = 0.184
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.078
+    std = 0.202
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.024
+    std = 0.337
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.064
+    std = 0.245
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.208
+    std = 0.248
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.217
+    std = 0.153
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.368
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.135
+    std = 0.334
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.040
+    std = 0.276
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.030
+    std = 0.142
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.070
+    std = 0.199
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.026
+    std = 0.313
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.021
+    std = 0.266
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.106
+    std = 0.262
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.250
+    std = 0.304
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_23_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_23_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_23_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_23_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_23_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_23_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_23_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_23_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_23_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_23_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_23_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_23_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_23_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_23_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_23_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_23_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_23_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.216
+    std = 0.216
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_24_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_24_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_24_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_24_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_24_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_24_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_24_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_24_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_24_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_24_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_24_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_24_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_24_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_24_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_24_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_24_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_24_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.140
+    std = 0.291
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_25_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_25_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_25_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_25_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_25_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_25_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_25_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_25_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_25_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_25_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_25_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_25_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_25_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_25_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_25_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_25_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_25_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.101
+    std = 0.246
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_26_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_26_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_26_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_26_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_26_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_26_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_26_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_26_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_26_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_26_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_26_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_26_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_26_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_26_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_26_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_26_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_26_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.080
+    std = 0.277
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_27_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_27_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_27_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_27_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_27_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_27_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_27_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_27_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_27_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_27_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_27_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_27_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_27_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_27_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_27_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_27_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_27_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.078
+    std = 0.292
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_28_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_28_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_28_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_28_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_28_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_28_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_28_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_28_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_28_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_28_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_28_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_28_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_28_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_28_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_28_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_28_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_28_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.031
+    std = 0.264
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_29_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_29_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_29_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_29_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_29_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_29_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_29_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_29_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_29_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_29_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_29_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_29_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_29_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_29_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_29_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_29_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_29_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.109
+    std = 0.323
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_30_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_30_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_30_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_30_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_30_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_30_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_30_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_30_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_30_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_30_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_30_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_30_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_30_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_30_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_30_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_30_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_30_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.063
+    std = 0.352
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_31_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_31_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_31_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_31_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_31_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_31_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_31_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_31_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_31_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_31_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_31_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_31_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_31_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_31_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_31_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_31_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_31_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.252
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_32_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_32_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_32_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_32_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_32_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_32_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_32_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_32_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_32_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_32_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_32_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_32_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_32_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_32_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_32_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_32_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_32_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.125
+    std = 0.340
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_33_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_33_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_33_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_33_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_33_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_33_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_33_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_33_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_33_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_33_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_33_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_33_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_33_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_33_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_33_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_33_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_33_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.116
+    std = 0.320
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_34_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_34_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_34_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_34_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_34_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_34_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_34_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_34_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_34_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_34_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_34_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_34_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_34_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_34_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_34_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_34_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_34_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.075
+    std = 0.164
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_35_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_35_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_35_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_35_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_35_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_35_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_35_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_35_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_35_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_35_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_35_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_35_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_35_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_35_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_35_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_35_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_35_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.096
+    std = 0.198
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_36_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_36_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_36_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_36_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_36_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_36_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_36_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_36_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_36_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_36_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_36_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_36_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_36_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_36_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_36_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_36_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_36_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.101
+    std = 0.213
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_37_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_37_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_37_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_37_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_37_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_37_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_37_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_37_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_37_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_37_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_37_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_37_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_37_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_37_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_37_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_37_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_37_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.277
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_38_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_38_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_38_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_38_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_38_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_38_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_38_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_38_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_38_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_38_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_38_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_38_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_38_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_38_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_38_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_38_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_38_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.035
+    std = 0.272
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_39_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_39_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_39_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_39_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_39_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_39_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_39_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_39_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_39_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_39_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_39_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_39_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_39_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_39_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_39_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_39_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_39_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.169
+    std = 0.187
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_40_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_40_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_40_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_40_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_40_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_40_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_40_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_40_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_40_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_40_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_40_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_40_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_40_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_40_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_40_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_40_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_40_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.128
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_41_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_41_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_41_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_41_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_41_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_41_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_41_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_41_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_41_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_41_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_41_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_41_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_41_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_41_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_41_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_41_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_41_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.016
+    std = 0.311
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_42_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_42_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_42_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_42_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_42_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_42_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_42_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_42_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_42_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_42_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_42_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_42_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_42_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_42_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_42_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_42_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_42_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.091
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_43_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_43_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_43_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_43_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_43_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_43_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_43_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_43_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_43_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_43_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_43_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_43_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_43_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_43_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_43_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_43_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_43_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.167
+    std = 0.200
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_44_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_44_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_44_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_44_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_44_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_44_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_44_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_44_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_44_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_44_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_44_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_44_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_44_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_44_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_44_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_44_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_44_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.149
+    std = 0.273
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_45_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_45_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_45_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_45_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_45_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_45_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_45_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_45_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_45_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_45_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_45_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_45_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_45_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_45_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_45_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_45_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_45_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.275
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_46_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_46_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_46_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_46_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_46_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_46_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_46_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_46_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_46_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_46_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_46_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_46_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_46_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_46_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_46_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_46_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_46_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.046
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_47_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_47_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_47_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_47_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_47_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_47_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_47_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_47_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_47_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_47_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_47_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_47_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_47_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_47_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_47_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_47_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_47_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.070
+    std = 0.257
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.026
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.073
+    std = 0.238
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.240
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_3_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_3_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_3_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_3_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_3_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_3_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_3_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_3_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_3_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.078
+    std = 0.120
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_4_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_4_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_4_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_4_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_4_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_4_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_4_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_4_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_4_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_4_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_4_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.027
+    std = 0.209
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_5_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_5_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_5_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_5_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_5_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_5_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_5_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_5_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_5_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_5_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_5_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_5_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_5_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_5_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.048
+    std = 0.212
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_6_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_6_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_6_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_6_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_6_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_6_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_6_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_6_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_6_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_6_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_6_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_6_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_6_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_6_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.060
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_7_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_7_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_7_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_7_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_7_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_7_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_7_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_7_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_7_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_7_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_7_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_7_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_7_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_7_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.259
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
diff --git a/samples/timm/ecaresnet26t.ra2_in1k/graph_hash.txt b/samples/timm/ecaresnet26t.ra2_in1k/graph_hash.txt
new file mode 100644
index 000000000..c844adf1f
--- /dev/null
+++ b/samples/timm/ecaresnet26t.ra2_in1k/graph_hash.txt
@@ -0,0 +1 @@
+b89ae94db93e96ec5e7f0c282500d5c27687e8e9f91404cba3d7d8d3950b9eca
\ No newline at end of file
diff --git a/samples/timm/ecaresnet26t.ra2_in1k/graph_net.json b/samples/timm/ecaresnet26t.ra2_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ecaresnet26t.ra2_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ecaresnet26t.ra2_in1k/input_meta.py b/samples/timm/ecaresnet26t.ra2_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet26t.ra2_in1k/input_tensor_constraints.py b/samples/timm/ecaresnet26t.ra2_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet26t.ra2_in1k/model.py b/samples/timm/ecaresnet26t.ra2_in1k/model.py
new file mode 100644
index 000000000..ea0cc91c1
--- /dev/null
+++ b/samples/timm/ecaresnet26t.ra2_in1k/model.py
@@ -0,0 +1,1735 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_4_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_4_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_6_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv1_modules_0_parameters_weight_ = (
+            L_self_modules_conv1_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_conv1_modules_1_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_1_buffers_running_var_ = (
+            L_self_modules_conv1_modules_1_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_1_parameters_weight_ = (
+            L_self_modules_conv1_modules_1_parameters_weight_
+        )
+        l_self_modules_conv1_modules_1_parameters_bias_ = (
+            L_self_modules_conv1_modules_1_parameters_bias_
+        )
+        l_self_modules_conv1_modules_3_parameters_weight_ = (
+            L_self_modules_conv1_modules_3_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_4_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_var_ = (
+            L_self_modules_conv1_modules_4_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_4_parameters_weight_ = (
+            L_self_modules_conv1_modules_4_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_parameters_bias_ = (
+            L_self_modules_conv1_modules_4_parameters_bias_
+        )
+        l_self_modules_conv1_modules_6_parameters_weight_ = (
+            L_self_modules_conv1_modules_6_parameters_weight_
+        )
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_conv1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv1_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_conv1_modules_1_buffers_running_mean_,
+            l_self_modules_conv1_modules_1_buffers_running_var_,
+            l_self_modules_conv1_modules_1_parameters_weight_,
+            l_self_modules_conv1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_conv1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_1_parameters_weight_
+        ) = l_self_modules_conv1_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_conv1_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_conv1_modules_3_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_conv1_modules_4_buffers_running_mean_,
+            l_self_modules_conv1_modules_4_buffers_running_var_,
+            l_self_modules_conv1_modules_4_parameters_weight_,
+            l_self_modules_conv1_modules_4_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_conv1_modules_4_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_4_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_4_parameters_weight_
+        ) = l_self_modules_conv1_modules_4_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_conv1_modules_6_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_conv1_modules_6_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_1 = torch.nn.functional.relu(x, inplace=True)
+        x = None
+        x_2 = torch.nn.functional.max_pool2d(
+            x_1, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None
+        mean = x_10.mean((2, 3))
+        sym_sum = torch.sym_sum([-1, s1])
+        s1 = None
+        floordiv = sym_sum // 4
+        sym_sum_1 = torch.sym_sum([1, floordiv])
+        floordiv = sym_sum_1 = None
+        y = mean.view(1, 1, -1)
+        mean = None
+        y_1 = torch.conv1d(
+            y,
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y = (
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid = y_1.sigmoid()
+        y_1 = None
+        y_2 = sigmoid.view(1, -1, 1, 1)
+        sigmoid = None
+        expand_as = y_2.expand_as(x_10)
+        y_2 = None
+        x_11 = x_10 * expand_as
+        x_10 = expand_as = None
+        input_8 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_9 = torch.nn.functional.batch_norm(
+            input_8,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_8 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_11 += input_9
+        x_12 = x_11
+        x_11 = input_9 = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None
+        mean_1 = x_21.mean((2, 3))
+        y_3 = mean_1.view(1, 1, -1)
+        mean_1 = None
+        y_4 = torch.conv1d(
+            y_3,
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_3 = (
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_1 = y_4.sigmoid()
+        y_4 = None
+        y_5 = sigmoid_1.view(1, -1, 1, 1)
+        sigmoid_1 = None
+        expand_as_1 = y_5.expand_as(x_21)
+        y_5 = None
+        x_22 = x_21 * expand_as_1
+        x_21 = expand_as_1 = None
+        x_22 += x_13
+        x_23 = x_22
+        x_22 = x_13 = None
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None
+        mean_2 = x_32.mean((2, 3))
+        floordiv_1 = sym_sum // 8
+        sym_sum_2 = torch.sym_sum([1, floordiv_1])
+        floordiv_1 = sym_sum_2 = None
+        y_6 = mean_2.view(1, 1, -1)
+        mean_2 = None
+        y_7 = torch.conv1d(
+            y_6,
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_6 = (
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_2 = y_7.sigmoid()
+        y_7 = None
+        y_8 = sigmoid_2.view(1, -1, 1, 1)
+        sigmoid_2 = None
+        expand_as_2 = y_8.expand_as(x_32)
+        y_8 = None
+        x_33 = x_32 * expand_as_2
+        x_32 = expand_as_2 = None
+        input_10 = torch._C._nn.avg_pool2d(x_24, 2, 2, 0, True, False, None)
+        x_24 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_10 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_12 = torch.nn.functional.batch_norm(
+            input_11,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_11 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_33 += input_12
+        x_34 = x_33
+        x_33 = input_12 = None
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None
+        mean_3 = x_43.mean((2, 3))
+        y_9 = mean_3.view(1, 1, -1)
+        mean_3 = None
+        y_10 = torch.conv1d(
+            y_9,
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_9 = (
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_3 = y_10.sigmoid()
+        y_10 = None
+        y_11 = sigmoid_3.view(1, -1, 1, 1)
+        sigmoid_3 = None
+        expand_as_3 = y_11.expand_as(x_43)
+        y_11 = None
+        x_44 = x_43 * expand_as_3
+        x_43 = expand_as_3 = None
+        x_44 += x_35
+        x_45 = x_44
+        x_44 = x_35 = None
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None
+        x_49 = torch.nn.functional.relu(x_48, inplace=True)
+        x_48 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None
+        mean_4 = x_54.mean((2, 3))
+        floordiv_2 = sym_sum // 16
+        sym_sum_3 = torch.sym_sum([1, floordiv_2])
+        floordiv_2 = sym_sum_3 = None
+        y_12 = mean_4.view(1, 1, -1)
+        mean_4 = None
+        y_13 = torch.conv1d(
+            y_12,
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_12 = (
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_4 = y_13.sigmoid()
+        y_13 = None
+        y_14 = sigmoid_4.view(1, -1, 1, 1)
+        sigmoid_4 = None
+        expand_as_4 = y_14.expand_as(x_54)
+        y_14 = None
+        x_55 = x_54 * expand_as_4
+        x_54 = expand_as_4 = None
+        input_13 = torch._C._nn.avg_pool2d(x_46, 2, 2, 0, True, False, None)
+        x_46 = None
+        input_14 = torch.conv2d(
+            input_13,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_13 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_55 += input_15
+        x_56 = x_55
+        x_55 = input_15 = None
+        x_57 = torch.nn.functional.relu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None
+        x_63 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None
+        mean_5 = x_65.mean((2, 3))
+        y_15 = mean_5.view(1, 1, -1)
+        mean_5 = None
+        y_16 = torch.conv1d(
+            y_15,
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_15 = (
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_5 = y_16.sigmoid()
+        y_16 = None
+        y_17 = sigmoid_5.view(1, -1, 1, 1)
+        sigmoid_5 = None
+        expand_as_5 = y_17.expand_as(x_65)
+        y_17 = None
+        x_66 = x_65 * expand_as_5
+        x_65 = expand_as_5 = None
+        x_66 += x_57
+        x_67 = x_66
+        x_66 = x_57 = None
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None
+        x_71 = torch.nn.functional.relu(x_70, inplace=True)
+        x_70 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_71 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None
+        mean_6 = x_76.mean((2, 3))
+        floordiv_3 = sym_sum // 32
+        sym_sum = None
+        sym_sum_4 = torch.sym_sum([1, floordiv_3])
+        floordiv_3 = sym_sum_4 = None
+        y_18 = mean_6.view(1, 1, -1)
+        mean_6 = None
+        y_19 = torch.conv1d(
+            y_18,
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_18 = (
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_6 = y_19.sigmoid()
+        y_19 = None
+        y_20 = sigmoid_6.view(1, -1, 1, 1)
+        sigmoid_6 = None
+        expand_as_6 = y_20.expand_as(x_76)
+        y_20 = None
+        x_77 = x_76 * expand_as_6
+        x_76 = expand_as_6 = None
+        input_16 = torch._C._nn.avg_pool2d(x_68, 2, 2, 0, True, False, None)
+        x_68 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_16 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_77 += input_18
+        x_78 = x_77
+        x_77 = input_18 = None
+        x_79 = torch.nn.functional.relu(x_78, inplace=True)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None
+        x_85 = torch.nn.functional.relu(x_84, inplace=True)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None
+        mean_7 = x_87.mean((2, 3))
+        y_21 = mean_7.view(1, 1, -1)
+        mean_7 = None
+        y_22 = torch.conv1d(
+            y_21,
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_21 = (
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_7 = y_22.sigmoid()
+        y_22 = None
+        y_23 = sigmoid_7.view(1, -1, 1, 1)
+        sigmoid_7 = None
+        expand_as_7 = y_23.expand_as(x_87)
+        y_23 = None
+        x_88 = x_87 * expand_as_7
+        x_87 = expand_as_7 = None
+        x_88 += x_79
+        x_89 = x_88
+        x_88 = x_79 = None
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_91 = torch.nn.functional.adaptive_avg_pool2d(x_90, 1)
+        x_90 = None
+        x_92 = x_91.flatten(1, -1)
+        x_91 = None
+        x_93 = torch._C._nn.linear(
+            x_92,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+        )
+        x_92 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        return (x_93,)
diff --git a/samples/timm/ecaresnet26t.ra2_in1k/weight_meta.py b/samples/timm/ecaresnet26t.ra2_in1k/weight_meta.py
new file mode 100644
index 000000000..82552995f
--- /dev/null
+++ b/samples/timm/ecaresnet26t.ra2_in1k/weight_meta.py
@@ -0,0 +1,1676 @@
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_0_parameters_weight_:
+    name = "L_self_modules_conv1_modules_0_parameters_weight_"
+    shape = [24, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.099
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.224
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_:
+    name = "L_self_modules_conv1_modules_1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_:
+    name = "L_self_modules_conv1_modules_1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_:
+    name = "L_self_modules_conv1_modules_3_parameters_weight_"
+    shape = [32, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_weight_:
+    name = "L_self_modules_conv1_modules_4_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_bias_:
+    name = "L_self_modules_conv1_modules_4_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_6_parameters_weight_:
+    name = "L_self_modules_conv1_modules_6_parameters_weight_"
+    shape = [64, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.180
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.021
+    std = 0.268
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.114
+    std = 0.182
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.198
+    std = 0.161
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.069
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.026
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.204
+    std = 0.169
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.016
+    std = 0.291
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.012
+    data = None
diff --git a/samples/timm/ecaresnet50d.miil_in1k/graph_hash.txt b/samples/timm/ecaresnet50d.miil_in1k/graph_hash.txt
new file mode 100644
index 000000000..d9d4b06ce
--- /dev/null
+++ b/samples/timm/ecaresnet50d.miil_in1k/graph_hash.txt
@@ -0,0 +1 @@
+a52f59ceefcd8aab9c01e541c3aa73216fc67c96eea42b8c5ec3fa03820d553d
\ No newline at end of file
diff --git a/samples/timm/ecaresnet50d.miil_in1k/graph_net.json b/samples/timm/ecaresnet50d.miil_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ecaresnet50d.miil_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ecaresnet50d.miil_in1k/input_meta.py b/samples/timm/ecaresnet50d.miil_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet50d.miil_in1k/input_tensor_constraints.py b/samples/timm/ecaresnet50d.miil_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet50d.miil_in1k/model.py b/samples/timm/ecaresnet50d.miil_in1k/model.py
new file mode 100644
index 000000000..489c757f2
--- /dev/null
+++ b/samples/timm/ecaresnet50d.miil_in1k/model.py
@@ -0,0 +1,3151 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_4_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_4_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_6_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv1_modules_0_parameters_weight_ = (
+            L_self_modules_conv1_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_conv1_modules_1_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_1_buffers_running_var_ = (
+            L_self_modules_conv1_modules_1_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_1_parameters_weight_ = (
+            L_self_modules_conv1_modules_1_parameters_weight_
+        )
+        l_self_modules_conv1_modules_1_parameters_bias_ = (
+            L_self_modules_conv1_modules_1_parameters_bias_
+        )
+        l_self_modules_conv1_modules_3_parameters_weight_ = (
+            L_self_modules_conv1_modules_3_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_4_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_var_ = (
+            L_self_modules_conv1_modules_4_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_4_parameters_weight_ = (
+            L_self_modules_conv1_modules_4_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_parameters_bias_ = (
+            L_self_modules_conv1_modules_4_parameters_bias_
+        )
+        l_self_modules_conv1_modules_6_parameters_weight_ = (
+            L_self_modules_conv1_modules_6_parameters_weight_
+        )
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_conv1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv1_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_conv1_modules_1_buffers_running_mean_,
+            l_self_modules_conv1_modules_1_buffers_running_var_,
+            l_self_modules_conv1_modules_1_parameters_weight_,
+            l_self_modules_conv1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_conv1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_1_parameters_weight_
+        ) = l_self_modules_conv1_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_conv1_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_conv1_modules_3_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_conv1_modules_4_buffers_running_mean_,
+            l_self_modules_conv1_modules_4_buffers_running_var_,
+            l_self_modules_conv1_modules_4_parameters_weight_,
+            l_self_modules_conv1_modules_4_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_conv1_modules_4_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_4_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_4_parameters_weight_
+        ) = l_self_modules_conv1_modules_4_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_conv1_modules_6_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_conv1_modules_6_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_1 = torch.nn.functional.relu(x, inplace=True)
+        x = None
+        x_2 = torch.nn.functional.max_pool2d(
+            x_1, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None
+        mean = x_10.mean((2, 3))
+        sym_sum = torch.sym_sum([-1, s1])
+        s1 = None
+        floordiv = sym_sum // 4
+        sym_sum_1 = torch.sym_sum([1, floordiv])
+        floordiv = sym_sum_1 = None
+        y = mean.view(1, 1, -1)
+        mean = None
+        y_1 = torch.conv1d(
+            y,
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y = (
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid = y_1.sigmoid()
+        y_1 = None
+        y_2 = sigmoid.view(1, -1, 1, 1)
+        sigmoid = None
+        expand_as = y_2.expand_as(x_10)
+        y_2 = None
+        x_11 = x_10 * expand_as
+        x_10 = expand_as = None
+        input_8 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_9 = torch.nn.functional.batch_norm(
+            input_8,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_8 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_11 += input_9
+        x_12 = x_11
+        x_11 = input_9 = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None
+        mean_1 = x_21.mean((2, 3))
+        y_3 = mean_1.view(1, 1, -1)
+        mean_1 = None
+        y_4 = torch.conv1d(
+            y_3,
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_3 = (
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_1 = y_4.sigmoid()
+        y_4 = None
+        y_5 = sigmoid_1.view(1, -1, 1, 1)
+        sigmoid_1 = None
+        expand_as_1 = y_5.expand_as(x_21)
+        y_5 = None
+        x_22 = x_21 * expand_as_1
+        x_21 = expand_as_1 = None
+        x_22 += x_13
+        x_23 = x_22
+        x_22 = x_13 = None
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = None
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None
+        mean_2 = x_32.mean((2, 3))
+        y_6 = mean_2.view(1, 1, -1)
+        mean_2 = None
+        y_7 = torch.conv1d(
+            y_6,
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_6 = (
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_2 = y_7.sigmoid()
+        y_7 = None
+        y_8 = sigmoid_2.view(1, -1, 1, 1)
+        sigmoid_2 = None
+        expand_as_2 = y_8.expand_as(x_32)
+        y_8 = None
+        x_33 = x_32 * expand_as_2
+        x_32 = expand_as_2 = None
+        x_33 += x_24
+        x_34 = x_33
+        x_33 = x_24 = None
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None
+        mean_3 = x_43.mean((2, 3))
+        floordiv_1 = sym_sum // 8
+        sym_sum_2 = torch.sym_sum([1, floordiv_1])
+        floordiv_1 = sym_sum_2 = None
+        y_9 = mean_3.view(1, 1, -1)
+        mean_3 = None
+        y_10 = torch.conv1d(
+            y_9,
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_9 = (
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_3 = y_10.sigmoid()
+        y_10 = None
+        y_11 = sigmoid_3.view(1, -1, 1, 1)
+        sigmoid_3 = None
+        expand_as_3 = y_11.expand_as(x_43)
+        y_11 = None
+        x_44 = x_43 * expand_as_3
+        x_43 = expand_as_3 = None
+        input_10 = torch._C._nn.avg_pool2d(x_35, 2, 2, 0, True, False, None)
+        x_35 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_10 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_12 = torch.nn.functional.batch_norm(
+            input_11,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_11 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_44 += input_12
+        x_45 = x_44
+        x_44 = input_12 = None
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None
+        x_49 = torch.nn.functional.relu(x_48, inplace=True)
+        x_48 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None
+        mean_4 = x_54.mean((2, 3))
+        y_12 = mean_4.view(1, 1, -1)
+        mean_4 = None
+        y_13 = torch.conv1d(
+            y_12,
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_12 = (
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_4 = y_13.sigmoid()
+        y_13 = None
+        y_14 = sigmoid_4.view(1, -1, 1, 1)
+        sigmoid_4 = None
+        expand_as_4 = y_14.expand_as(x_54)
+        y_14 = None
+        x_55 = x_54 * expand_as_4
+        x_54 = expand_as_4 = None
+        x_55 += x_46
+        x_56 = x_55
+        x_55 = x_46 = None
+        x_57 = torch.nn.functional.relu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = None
+        x_63 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None
+        mean_5 = x_65.mean((2, 3))
+        y_15 = mean_5.view(1, 1, -1)
+        mean_5 = None
+        y_16 = torch.conv1d(
+            y_15,
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_15 = (
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_5 = y_16.sigmoid()
+        y_16 = None
+        y_17 = sigmoid_5.view(1, -1, 1, 1)
+        sigmoid_5 = None
+        expand_as_5 = y_17.expand_as(x_65)
+        y_17 = None
+        x_66 = x_65 * expand_as_5
+        x_65 = expand_as_5 = None
+        x_66 += x_57
+        x_67 = x_66
+        x_66 = x_57 = None
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None
+        x_71 = torch.nn.functional.relu(x_70, inplace=True)
+        x_70 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_71 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = None
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None
+        mean_6 = x_76.mean((2, 3))
+        y_18 = mean_6.view(1, 1, -1)
+        mean_6 = None
+        y_19 = torch.conv1d(
+            y_18,
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_18 = (
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_6 = y_19.sigmoid()
+        y_19 = None
+        y_20 = sigmoid_6.view(1, -1, 1, 1)
+        sigmoid_6 = None
+        expand_as_6 = y_20.expand_as(x_76)
+        y_20 = None
+        x_77 = x_76 * expand_as_6
+        x_76 = expand_as_6 = None
+        x_77 += x_68
+        x_78 = x_77
+        x_77 = x_68 = None
+        x_79 = torch.nn.functional.relu(x_78, inplace=True)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None
+        x_85 = torch.nn.functional.relu(x_84, inplace=True)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None
+        mean_7 = x_87.mean((2, 3))
+        floordiv_2 = sym_sum // 16
+        sym_sum_3 = torch.sym_sum([1, floordiv_2])
+        floordiv_2 = sym_sum_3 = None
+        y_21 = mean_7.view(1, 1, -1)
+        mean_7 = None
+        y_22 = torch.conv1d(
+            y_21,
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_21 = (
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_7 = y_22.sigmoid()
+        y_22 = None
+        y_23 = sigmoid_7.view(1, -1, 1, 1)
+        sigmoid_7 = None
+        expand_as_7 = y_23.expand_as(x_87)
+        y_23 = None
+        x_88 = x_87 * expand_as_7
+        x_87 = expand_as_7 = None
+        input_13 = torch._C._nn.avg_pool2d(x_79, 2, 2, 0, True, False, None)
+        x_79 = None
+        input_14 = torch.conv2d(
+            input_13,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_13 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_88 += input_15
+        x_89 = x_88
+        x_88 = input_15 = None
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None
+        x_93 = torch.nn.functional.relu(x_92, inplace=True)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None
+        mean_8 = x_98.mean((2, 3))
+        y_24 = mean_8.view(1, 1, -1)
+        mean_8 = None
+        y_25 = torch.conv1d(
+            y_24,
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_24 = (
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_8 = y_25.sigmoid()
+        y_25 = None
+        y_26 = sigmoid_8.view(1, -1, 1, 1)
+        sigmoid_8 = None
+        expand_as_8 = y_26.expand_as(x_98)
+        y_26 = None
+        x_99 = x_98 * expand_as_8
+        x_98 = expand_as_8 = None
+        x_99 += x_90
+        x_100 = x_99
+        x_99 = x_90 = None
+        x_101 = torch.nn.functional.relu(x_100, inplace=True)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None
+        x_107 = torch.nn.functional.relu(x_106, inplace=True)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None
+        mean_9 = x_109.mean((2, 3))
+        y_27 = mean_9.view(1, 1, -1)
+        mean_9 = None
+        y_28 = torch.conv1d(
+            y_27,
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_27 = (
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_9 = y_28.sigmoid()
+        y_28 = None
+        y_29 = sigmoid_9.view(1, -1, 1, 1)
+        sigmoid_9 = None
+        expand_as_9 = y_29.expand_as(x_109)
+        y_29 = None
+        x_110 = x_109 * expand_as_9
+        x_109 = expand_as_9 = None
+        x_110 += x_101
+        x_111 = x_110
+        x_110 = x_101 = None
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None
+        x_115 = torch.nn.functional.relu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_115 = l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None
+        mean_10 = x_120.mean((2, 3))
+        y_30 = mean_10.view(1, 1, -1)
+        mean_10 = None
+        y_31 = torch.conv1d(
+            y_30,
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_30 = (
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_10 = y_31.sigmoid()
+        y_31 = None
+        y_32 = sigmoid_10.view(1, -1, 1, 1)
+        sigmoid_10 = None
+        expand_as_10 = y_32.expand_as(x_120)
+        y_32 = None
+        x_121 = x_120 * expand_as_10
+        x_120 = expand_as_10 = None
+        x_121 += x_112
+        x_122 = x_121
+        x_121 = x_112 = None
+        x_123 = torch.nn.functional.relu(x_122, inplace=True)
+        x_122 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None
+        x_129 = torch.nn.functional.relu(x_128, inplace=True)
+        x_128 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_129 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None
+        mean_11 = x_131.mean((2, 3))
+        y_33 = mean_11.view(1, 1, -1)
+        mean_11 = None
+        y_34 = torch.conv1d(
+            y_33,
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_33 = (
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_11 = y_34.sigmoid()
+        y_34 = None
+        y_35 = sigmoid_11.view(1, -1, 1, 1)
+        sigmoid_11 = None
+        expand_as_11 = y_35.expand_as(x_131)
+        y_35 = None
+        x_132 = x_131 * expand_as_11
+        x_131 = expand_as_11 = None
+        x_132 += x_123
+        x_133 = x_132
+        x_132 = x_123 = None
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None
+        x_137 = torch.nn.functional.relu(x_136, inplace=True)
+        x_136 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_137 = l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = None
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None
+        mean_12 = x_142.mean((2, 3))
+        y_36 = mean_12.view(1, 1, -1)
+        mean_12 = None
+        y_37 = torch.conv1d(
+            y_36,
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_36 = (
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_12 = y_37.sigmoid()
+        y_37 = None
+        y_38 = sigmoid_12.view(1, -1, 1, 1)
+        sigmoid_12 = None
+        expand_as_12 = y_38.expand_as(x_142)
+        y_38 = None
+        x_143 = x_142 * expand_as_12
+        x_142 = expand_as_12 = None
+        x_143 += x_134
+        x_144 = x_143
+        x_143 = x_134 = None
+        x_145 = torch.nn.functional.relu(x_144, inplace=True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None
+        x_151 = torch.nn.functional.relu(x_150, inplace=True)
+        x_150 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None
+        mean_13 = x_153.mean((2, 3))
+        floordiv_3 = sym_sum // 32
+        sym_sum = None
+        sym_sum_4 = torch.sym_sum([1, floordiv_3])
+        floordiv_3 = sym_sum_4 = None
+        y_39 = mean_13.view(1, 1, -1)
+        mean_13 = None
+        y_40 = torch.conv1d(
+            y_39,
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_39 = (
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_13 = y_40.sigmoid()
+        y_40 = None
+        y_41 = sigmoid_13.view(1, -1, 1, 1)
+        sigmoid_13 = None
+        expand_as_13 = y_41.expand_as(x_153)
+        y_41 = None
+        x_154 = x_153 * expand_as_13
+        x_153 = expand_as_13 = None
+        input_16 = torch._C._nn.avg_pool2d(x_145, 2, 2, 0, True, False, None)
+        x_145 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_16 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_154 += input_18
+        x_155 = x_154
+        x_154 = input_18 = None
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None
+        x_159 = torch.nn.functional.relu(x_158, inplace=True)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None
+        mean_14 = x_164.mean((2, 3))
+        y_42 = mean_14.view(1, 1, -1)
+        mean_14 = None
+        y_43 = torch.conv1d(
+            y_42,
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_42 = (
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_14 = y_43.sigmoid()
+        y_43 = None
+        y_44 = sigmoid_14.view(1, -1, 1, 1)
+        sigmoid_14 = None
+        expand_as_14 = y_44.expand_as(x_164)
+        y_44 = None
+        x_165 = x_164 * expand_as_14
+        x_164 = expand_as_14 = None
+        x_165 += x_156
+        x_166 = x_165
+        x_165 = x_156 = None
+        x_167 = torch.nn.functional.relu(x_166, inplace=True)
+        x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None
+        x_170 = torch.nn.functional.relu(x_169, inplace=True)
+        x_169 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_170 = l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = None
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None
+        x_173 = torch.nn.functional.relu(x_172, inplace=True)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = None
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None
+        mean_15 = x_175.mean((2, 3))
+        y_45 = mean_15.view(1, 1, -1)
+        mean_15 = None
+        y_46 = torch.conv1d(
+            y_45,
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_45 = (
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_15 = y_46.sigmoid()
+        y_46 = None
+        y_47 = sigmoid_15.view(1, -1, 1, 1)
+        sigmoid_15 = None
+        expand_as_15 = y_47.expand_as(x_175)
+        y_47 = None
+        x_176 = x_175 * expand_as_15
+        x_175 = expand_as_15 = None
+        x_176 += x_167
+        x_177 = x_176
+        x_176 = x_167 = None
+        x_178 = torch.nn.functional.relu(x_177, inplace=True)
+        x_177 = None
+        x_179 = torch.nn.functional.adaptive_avg_pool2d(x_178, 1)
+        x_178 = None
+        x_180 = x_179.flatten(1, -1)
+        x_179 = None
+        x_181 = torch._C._nn.linear(
+            x_180,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+        )
+        x_180 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        return (x_181,)
diff --git a/samples/timm/ecaresnet50d.miil_in1k/weight_meta.py b/samples/timm/ecaresnet50d.miil_in1k/weight_meta.py
new file mode 100644
index 000000000..4507334d1
--- /dev/null
+++ b/samples/timm/ecaresnet50d.miil_in1k/weight_meta.py
@@ -0,0 +1,2956 @@
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_0_parameters_weight_:
+    name = "L_self_modules_conv1_modules_0_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.085
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.230
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_:
+    name = "L_self_modules_conv1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_:
+    name = "L_self_modules_conv1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_:
+    name = "L_self_modules_conv1_modules_3_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_weight_:
+    name = "L_self_modules_conv1_modules_4_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_bias_:
+    name = "L_self_modules_conv1_modules_4_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_6_parameters_weight_:
+    name = "L_self_modules_conv1_modules_6_parameters_weight_"
+    shape = [64, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.167
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.263
+    std = 0.293
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.116
+    std = 0.259
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.055
+    std = 0.310
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.092
+    std = 0.295
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.009
+    std = 0.310
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.030
+    std = 0.301
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.355
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.170
+    std = 0.303
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.150
+    std = 0.360
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.278
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.049
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.057
+    std = 0.237
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.177
+    std = 0.127
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.087
+    std = 0.207
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.028
+    std = 0.188
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_hash.txt b/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_hash.txt
new file mode 100644
index 000000000..bcb22dd91
--- /dev/null
+++ b/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_hash.txt
@@ -0,0 +1 @@
+9e10c0a7f4b9307622143249138c8ff1ed509a27b89d836a7756cb6f62aae2c9
\ No newline at end of file
diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_net.json b/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/input_meta.py b/samples/timm/ecaresnet50d_pruned.miil_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/input_tensor_constraints.py b/samples/timm/ecaresnet50d_pruned.miil_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/model.py b/samples/timm/ecaresnet50d_pruned.miil_in1k/model.py
new file mode 100644
index 000000000..489c757f2
--- /dev/null
+++ b/samples/timm/ecaresnet50d_pruned.miil_in1k/model.py
@@ -0,0 +1,3151 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_4_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_4_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_6_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv1_modules_0_parameters_weight_ = (
+            L_self_modules_conv1_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_conv1_modules_1_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_1_buffers_running_var_ = (
+            L_self_modules_conv1_modules_1_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_1_parameters_weight_ = (
+            L_self_modules_conv1_modules_1_parameters_weight_
+        )
+        l_self_modules_conv1_modules_1_parameters_bias_ = (
+            L_self_modules_conv1_modules_1_parameters_bias_
+        )
+        l_self_modules_conv1_modules_3_parameters_weight_ = (
+            L_self_modules_conv1_modules_3_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_4_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_var_ = (
+            L_self_modules_conv1_modules_4_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_4_parameters_weight_ = (
+            L_self_modules_conv1_modules_4_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_parameters_bias_ = (
+            L_self_modules_conv1_modules_4_parameters_bias_
+        )
+        l_self_modules_conv1_modules_6_parameters_weight_ = (
+            L_self_modules_conv1_modules_6_parameters_weight_
+        )
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_conv1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv1_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_conv1_modules_1_buffers_running_mean_,
+            l_self_modules_conv1_modules_1_buffers_running_var_,
+            l_self_modules_conv1_modules_1_parameters_weight_,
+            l_self_modules_conv1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_conv1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_1_parameters_weight_
+        ) = l_self_modules_conv1_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_conv1_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_conv1_modules_3_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_conv1_modules_4_buffers_running_mean_,
+            l_self_modules_conv1_modules_4_buffers_running_var_,
+            l_self_modules_conv1_modules_4_parameters_weight_,
+            l_self_modules_conv1_modules_4_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_conv1_modules_4_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_4_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_4_parameters_weight_
+        ) = l_self_modules_conv1_modules_4_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_conv1_modules_6_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_conv1_modules_6_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_1 = torch.nn.functional.relu(x, inplace=True)
+        x = None
+        x_2 = torch.nn.functional.max_pool2d(
+            x_1, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None
+        mean = x_10.mean((2, 3))
+        sym_sum = torch.sym_sum([-1, s1])
+        s1 = None
+        floordiv = sym_sum // 4
+        sym_sum_1 = torch.sym_sum([1, floordiv])
+        floordiv = sym_sum_1 = None
+        y = mean.view(1, 1, -1)
+        mean = None
+        y_1 = torch.conv1d(
+            y,
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y = (
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid = y_1.sigmoid()
+        y_1 = None
+        y_2 = sigmoid.view(1, -1, 1, 1)
+        sigmoid = None
+        expand_as = y_2.expand_as(x_10)
+        y_2 = None
+        x_11 = x_10 * expand_as
+        x_10 = expand_as = None
+        input_8 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_9 = torch.nn.functional.batch_norm(
+            input_8,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_8 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_11 += input_9
+        x_12 = x_11
+        x_11 = input_9 = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None
+        mean_1 = x_21.mean((2, 3))
+        y_3 = mean_1.view(1, 1, -1)
+        mean_1 = None
+        y_4 = torch.conv1d(
+            y_3,
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_3 = (
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_1 = y_4.sigmoid()
+        y_4 = None
+        y_5 = sigmoid_1.view(1, -1, 1, 1)
+        sigmoid_1 = None
+        expand_as_1 = y_5.expand_as(x_21)
+        y_5 = None
+        x_22 = x_21 * expand_as_1
+        x_21 = expand_as_1 = None
+        x_22 += x_13
+        x_23 = x_22
+        x_22 = x_13 = None
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = None
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None
+        mean_2 = x_32.mean((2, 3))
+        y_6 = mean_2.view(1, 1, -1)
+        mean_2 = None
+        y_7 = torch.conv1d(
+            y_6,
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_6 = (
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_2 = y_7.sigmoid()
+        y_7 = None
+        y_8 = sigmoid_2.view(1, -1, 1, 1)
+        sigmoid_2 = None
+        expand_as_2 = y_8.expand_as(x_32)
+        y_8 = None
+        x_33 = x_32 * expand_as_2
+        x_32 = expand_as_2 = None
+        x_33 += x_24
+        x_34 = x_33
+        x_33 = x_24 = None
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None
+        mean_3 = x_43.mean((2, 3))
+        floordiv_1 = sym_sum // 8
+        sym_sum_2 = torch.sym_sum([1, floordiv_1])
+        floordiv_1 = sym_sum_2 = None
+        y_9 = mean_3.view(1, 1, -1)
+        mean_3 = None
+        y_10 = torch.conv1d(
+            y_9,
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_9 = (
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_3 = y_10.sigmoid()
+        y_10 = None
+        y_11 = sigmoid_3.view(1, -1, 1, 1)
+        sigmoid_3 = None
+        expand_as_3 = y_11.expand_as(x_43)
+        y_11 = None
+        x_44 = x_43 * expand_as_3
+        x_43 = expand_as_3 = None
+        input_10 = torch._C._nn.avg_pool2d(x_35, 2, 2, 0, True, False, None)
+        x_35 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_10 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_12 = torch.nn.functional.batch_norm(
+            input_11,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_11 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_44 += input_12
+        x_45 = x_44
+        x_44 = input_12 = None
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None
+        x_49 = torch.nn.functional.relu(x_48, inplace=True)
+        x_48 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None
+        mean_4 = x_54.mean((2, 3))
+        y_12 = mean_4.view(1, 1, -1)
+        mean_4 = None
+        y_13 = torch.conv1d(
+            y_12,
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_12 = (
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_4 = y_13.sigmoid()
+        y_13 = None
+        y_14 = sigmoid_4.view(1, -1, 1, 1)
+        sigmoid_4 = None
+        expand_as_4 = y_14.expand_as(x_54)
+        y_14 = None
+        x_55 = x_54 * expand_as_4
+        x_54 = expand_as_4 = None
+        x_55 += x_46
+        x_56 = x_55
+        x_55 = x_46 = None
+        x_57 = torch.nn.functional.relu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = None
+        x_63 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None
+        mean_5 = x_65.mean((2, 3))
+        y_15 = mean_5.view(1, 1, -1)
+        mean_5 = None
+        y_16 = torch.conv1d(
+            y_15,
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_15 = (
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_5 = y_16.sigmoid()
+        y_16 = None
+        y_17 = sigmoid_5.view(1, -1, 1, 1)
+        sigmoid_5 = None
+        expand_as_5 = y_17.expand_as(x_65)
+        y_17 = None
+        x_66 = x_65 * expand_as_5
+        x_65 = expand_as_5 = None
+        x_66 += x_57
+        x_67 = x_66
+        x_66 = x_57 = None
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None
+        x_71 = torch.nn.functional.relu(x_70, inplace=True)
+        x_70 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_71 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = None
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None
+        mean_6 = x_76.mean((2, 3))
+        y_18 = mean_6.view(1, 1, -1)
+        mean_6 = None
+        y_19 = torch.conv1d(
+            y_18,
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_18 = (
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_6 = y_19.sigmoid()
+        y_19 = None
+        y_20 = sigmoid_6.view(1, -1, 1, 1)
+        sigmoid_6 = None
+        expand_as_6 = y_20.expand_as(x_76)
+        y_20 = None
+        x_77 = x_76 * expand_as_6
+        x_76 = expand_as_6 = None
+        x_77 += x_68
+        x_78 = x_77
+        x_77 = x_68 = None
+        x_79 = torch.nn.functional.relu(x_78, inplace=True)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None
+        x_85 = torch.nn.functional.relu(x_84, inplace=True)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None
+        mean_7 = x_87.mean((2, 3))
+        floordiv_2 = sym_sum // 16
+        sym_sum_3 = torch.sym_sum([1, floordiv_2])
+        floordiv_2 = sym_sum_3 = None
+        y_21 = mean_7.view(1, 1, -1)
+        mean_7 = None
+        y_22 = torch.conv1d(
+            y_21,
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_21 = (
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_7 = y_22.sigmoid()
+        y_22 = None
+        y_23 = sigmoid_7.view(1, -1, 1, 1)
+        sigmoid_7 = None
+        expand_as_7 = y_23.expand_as(x_87)
+        y_23 = None
+        x_88 = x_87 * expand_as_7
+        x_87 = expand_as_7 = None
+        input_13 = torch._C._nn.avg_pool2d(x_79, 2, 2, 0, True, False, None)
+        x_79 = None
+        input_14 = torch.conv2d(
+            input_13,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_13 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_88 += input_15
+        x_89 = x_88
+        x_88 = input_15 = None
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None
+        x_93 = torch.nn.functional.relu(x_92, inplace=True)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None
+        mean_8 = x_98.mean((2, 3))
+        y_24 = mean_8.view(1, 1, -1)
+        mean_8 = None
+        y_25 = torch.conv1d(
+            y_24,
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_24 = (
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_8 = y_25.sigmoid()
+        y_25 = None
+        y_26 = sigmoid_8.view(1, -1, 1, 1)
+        sigmoid_8 = None
+        expand_as_8 = y_26.expand_as(x_98)
+        y_26 = None
+        x_99 = x_98 * expand_as_8
+        x_98 = expand_as_8 = None
+        x_99 += x_90
+        x_100 = x_99
+        x_99 = x_90 = None
+        x_101 = torch.nn.functional.relu(x_100, inplace=True)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None
+        x_107 = torch.nn.functional.relu(x_106, inplace=True)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None
+        mean_9 = x_109.mean((2, 3))
+        y_27 = mean_9.view(1, 1, -1)
+        mean_9 = None
+        y_28 = torch.conv1d(
+            y_27,
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_27 = (
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_9 = y_28.sigmoid()
+        y_28 = None
+        y_29 = sigmoid_9.view(1, -1, 1, 1)
+        sigmoid_9 = None
+        expand_as_9 = y_29.expand_as(x_109)
+        y_29 = None
+        x_110 = x_109 * expand_as_9
+        x_109 = expand_as_9 = None
+        x_110 += x_101
+        x_111 = x_110
+        x_110 = x_101 = None
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None
+        x_115 = torch.nn.functional.relu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_115 = l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None
+        mean_10 = x_120.mean((2, 3))
+        y_30 = mean_10.view(1, 1, -1)
+        mean_10 = None
+        y_31 = torch.conv1d(
+            y_30,
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_30 = (
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_10 = y_31.sigmoid()
+        y_31 = None
+        y_32 = sigmoid_10.view(1, -1, 1, 1)
+        sigmoid_10 = None
+        expand_as_10 = y_32.expand_as(x_120)
+        y_32 = None
+        x_121 = x_120 * expand_as_10
+        x_120 = expand_as_10 = None
+        x_121 += x_112
+        x_122 = x_121
+        x_121 = x_112 = None
+        x_123 = torch.nn.functional.relu(x_122, inplace=True)
+        x_122 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None
+        x_129 = torch.nn.functional.relu(x_128, inplace=True)
+        x_128 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_129 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None
+        mean_11 = x_131.mean((2, 3))
+        y_33 = mean_11.view(1, 1, -1)
+        mean_11 = None
+        y_34 = torch.conv1d(
+            y_33,
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_33 = (
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_11 = y_34.sigmoid()
+        y_34 = None
+        y_35 = sigmoid_11.view(1, -1, 1, 1)
+        sigmoid_11 = None
+        expand_as_11 = y_35.expand_as(x_131)
+        y_35 = None
+        x_132 = x_131 * expand_as_11
+        x_131 = expand_as_11 = None
+        x_132 += x_123
+        x_133 = x_132
+        x_132 = x_123 = None
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None
+        x_137 = torch.nn.functional.relu(x_136, inplace=True)
+        x_136 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_137 = l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = None
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None
+        mean_12 = x_142.mean((2, 3))
+        y_36 = mean_12.view(1, 1, -1)
+        mean_12 = None
+        y_37 = torch.conv1d(
+            y_36,
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_36 = (
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_12 = y_37.sigmoid()
+        y_37 = None
+        y_38 = sigmoid_12.view(1, -1, 1, 1)
+        sigmoid_12 = None
+        expand_as_12 = y_38.expand_as(x_142)
+        y_38 = None
+        x_143 = x_142 * expand_as_12
+        x_142 = expand_as_12 = None
+        x_143 += x_134
+        x_144 = x_143
+        x_143 = x_134 = None
+        x_145 = torch.nn.functional.relu(x_144, inplace=True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None
+        x_151 = torch.nn.functional.relu(x_150, inplace=True)
+        x_150 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None
+        mean_13 = x_153.mean((2, 3))
+        floordiv_3 = sym_sum // 32
+        sym_sum = None
+        sym_sum_4 = torch.sym_sum([1, floordiv_3])
+        floordiv_3 = sym_sum_4 = None
+        y_39 = mean_13.view(1, 1, -1)
+        mean_13 = None
+        y_40 = torch.conv1d(
+            y_39,
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_39 = (
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_13 = y_40.sigmoid()
+        y_40 = None
+        y_41 = sigmoid_13.view(1, -1, 1, 1)
+        sigmoid_13 = None
+        expand_as_13 = y_41.expand_as(x_153)
+        y_41 = None
+        x_154 = x_153 * expand_as_13
+        x_153 = expand_as_13 = None
+        input_16 = torch._C._nn.avg_pool2d(x_145, 2, 2, 0, True, False, None)
+        x_145 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_16 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_154 += input_18
+        x_155 = x_154
+        x_154 = input_18 = None
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None
+        x_159 = torch.nn.functional.relu(x_158, inplace=True)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None
+        mean_14 = x_164.mean((2, 3))
+        y_42 = mean_14.view(1, 1, -1)
+        mean_14 = None
+        y_43 = torch.conv1d(
+            y_42,
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_42 = (
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_14 = y_43.sigmoid()
+        y_43 = None
+        y_44 = sigmoid_14.view(1, -1, 1, 1)
+        sigmoid_14 = None
+        expand_as_14 = y_44.expand_as(x_164)
+        y_44 = None
+        x_165 = x_164 * expand_as_14
+        x_164 = expand_as_14 = None
+        x_165 += x_156
+        x_166 = x_165
+        x_165 = x_156 = None
+        x_167 = torch.nn.functional.relu(x_166, inplace=True)
+        x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None
+        x_170 = torch.nn.functional.relu(x_169, inplace=True)
+        x_169 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_170 = l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = None
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None
+        x_173 = torch.nn.functional.relu(x_172, inplace=True)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = None
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None
+        mean_15 = x_175.mean((2, 3))
+        y_45 = mean_15.view(1, 1, -1)
+        mean_15 = None
+        y_46 = torch.conv1d(
+            y_45,
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_45 = (
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_15 = y_46.sigmoid()
+        y_46 = None
+        y_47 = sigmoid_15.view(1, -1, 1, 1)
+        sigmoid_15 = None
+        expand_as_15 = y_47.expand_as(x_175)
+        y_47 = None
+        x_176 = x_175 * expand_as_15
+        x_175 = expand_as_15 = None
+        x_176 += x_167
+        x_177 = x_176
+        x_176 = x_167 = None
+        x_178 = torch.nn.functional.relu(x_177, inplace=True)
+        x_177 = None
+        x_179 = torch.nn.functional.adaptive_avg_pool2d(x_178, 1)
+        x_178 = None
+        x_180 = x_179.flatten(1, -1)
+        x_179 = None
+        x_181 = torch._C._nn.linear(
+            x_180,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+        )
+        x_180 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        return (x_181,)
diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/weight_meta.py b/samples/timm/ecaresnet50d_pruned.miil_in1k/weight_meta.py
new file mode 100644
index 000000000..91bb80cf8
--- /dev/null
+++ b/samples/timm/ecaresnet50d_pruned.miil_in1k/weight_meta.py
@@ -0,0 +1,2956 @@
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_0_parameters_weight_:
+    name = "L_self_modules_conv1_modules_0_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.228
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_:
+    name = "L_self_modules_conv1_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_:
+    name = "L_self_modules_conv1_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_:
+    name = "L_self_modules_conv1_modules_3_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_weight_:
+    name = "L_self_modules_conv1_modules_4_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_bias_:
+    name = "L_self_modules_conv1_modules_4_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_6_parameters_weight_:
+    name = "L_self_modules_conv1_modules_6_parameters_weight_"
+    shape = [64, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_"
+    shape = [47, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [47]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [47]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_"
+    shape = [47]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_"
+    shape = [47]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_"
+    shape = [18, 47, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [18]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [18]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_"
+    shape = [18]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_"
+    shape = [18]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_"
+    shape = [19, 18, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.065
+    std = 0.415
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [19, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_"
+    shape = [52, 19, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_"
+    shape = [22, 52, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [22]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [22]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_"
+    shape = [22]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_"
+    shape = [22]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_"
+    shape = [19, 22, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.087
+    std = 0.227
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_"
+    shape = [64, 19, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_"
+    shape = [35, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [35]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [35]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_"
+    shape = [35]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_"
+    shape = [35]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_"
+    shape = [19, 35, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_"
+    shape = [19]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_"
+    shape = [85, 19, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.135
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [85]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [85]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_"
+    shape = [85]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_"
+    shape = [85]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_"
+    shape = [37, 85, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [37]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [37]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_"
+    shape = [37]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_"
+    shape = [37]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_"
+    shape = [171, 37, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.046
+    std = 0.198
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [171, 19, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.131
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_"
+    shape = [107, 171, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [107]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [107]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_"
+    shape = [107]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_"
+    shape = [107]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_"
+    shape = [80, 107, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_"
+    shape = [171, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.023
+    std = 0.237
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_"
+    shape = [120, 171, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_"
+    shape = [85, 120, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [85]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [85]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_"
+    shape = [85]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_"
+    shape = [85]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_"
+    shape = [171, 85, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.167
+    std = 0.235
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_"
+    shape = [125, 171, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [125]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [125]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_"
+    shape = [125]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_"
+    shape = [125]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_"
+    shape = [87, 125, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [87]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [87]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_"
+    shape = [87]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_"
+    shape = [87]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_"
+    shape = [171, 87, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_"
+    shape = [171]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.064
+    std = 0.302
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_"
+    shape = [198, 171, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [198]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [198]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_"
+    shape = [198]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_"
+    shape = [198]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_"
+    shape = [126, 198, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [126]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [126]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_"
+    shape = [126]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_"
+    shape = [126]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_"
+    shape = [818, 126, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.126
+    std = 0.275
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [818, 171, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_"
+    shape = [255, 818, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_"
+    shape = [255]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_"
+    shape = [232, 255, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_"
+    shape = [818, 232, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.227
+    std = 0.202
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_"
+    shape = [256, 818, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_"
+    shape = [233, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [233]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [233]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_"
+    shape = [233]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_"
+    shape = [233]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_"
+    shape = [818, 233, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.200
+    std = 0.136
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_"
+    shape = [253, 818, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_"
+    shape = [253]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_"
+    shape = [235, 253, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [235]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [235]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_"
+    shape = [235]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_"
+    shape = [235]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_"
+    shape = [818, 235, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.133
+    std = 0.276
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_"
+    shape = [256, 818, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_"
+    shape = [225, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [225]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [225]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_"
+    shape = [225]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_"
+    shape = [225]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_"
+    shape = [818, 225, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.349
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_"
+    shape = [256, 818, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_"
+    shape = [239, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [239]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [239]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_"
+    shape = [239]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_"
+    shape = [239]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_"
+    shape = [818, 239, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_"
+    shape = [818]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.111
+    std = 0.162
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_"
+    shape = [492, 818, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [492]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [492]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_"
+    shape = [492]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_"
+    shape = [492]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_"
+    shape = [237, 492, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [237]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [237]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_"
+    shape = [237]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_"
+    shape = [237]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_"
+    shape = [2022, 237, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.026
+    std = 0.255
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [2022, 818, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_"
+    shape = [512, 2022, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_"
+    shape = [500, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [500]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [500]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_"
+    shape = [500]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_"
+    shape = [500]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_"
+    shape = [2022, 500, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.031
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_"
+    shape = [512, 2022, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_"
+    shape = [490, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [490]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [490]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_"
+    shape = [490]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_"
+    shape = [490]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_"
+    shape = [2022, 490, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_"
+    shape = [2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.252
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 2022]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
diff --git a/samples/timm/ecaresnet50t.a1_in1k/graph_hash.txt b/samples/timm/ecaresnet50t.a1_in1k/graph_hash.txt
new file mode 100644
index 000000000..590c2b98d
--- /dev/null
+++ b/samples/timm/ecaresnet50t.a1_in1k/graph_hash.txt
@@ -0,0 +1 @@
+16505db42d0438a7f15c517ac18d01423fb1c05babcdb92107a402b902b750dd
\ No newline at end of file
diff --git a/samples/timm/ecaresnet50t.a1_in1k/graph_net.json b/samples/timm/ecaresnet50t.a1_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ecaresnet50t.a1_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ecaresnet50t.a1_in1k/input_meta.py b/samples/timm/ecaresnet50t.a1_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet50t.a1_in1k/input_tensor_constraints.py b/samples/timm/ecaresnet50t.a1_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnet50t.a1_in1k/model.py b/samples/timm/ecaresnet50t.a1_in1k/model.py
new file mode 100644
index 000000000..489c757f2
--- /dev/null
+++ b/samples/timm/ecaresnet50t.a1_in1k/model.py
@@ -0,0 +1,3151 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_buffers_running_mean_: torch.Tensor,
+        L_self_modules_conv1_modules_4_buffers_running_var_: torch.Tensor,
+        L_self_modules_conv1_modules_4_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_4_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv1_modules_6_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv1_modules_0_parameters_weight_ = (
+            L_self_modules_conv1_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_conv1_modules_1_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_1_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_1_buffers_running_var_ = (
+            L_self_modules_conv1_modules_1_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_1_parameters_weight_ = (
+            L_self_modules_conv1_modules_1_parameters_weight_
+        )
+        l_self_modules_conv1_modules_1_parameters_bias_ = (
+            L_self_modules_conv1_modules_1_parameters_bias_
+        )
+        l_self_modules_conv1_modules_3_parameters_weight_ = (
+            L_self_modules_conv1_modules_3_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_mean_ = (
+            L_self_modules_conv1_modules_4_buffers_running_mean_
+        )
+        l_self_modules_conv1_modules_4_buffers_running_var_ = (
+            L_self_modules_conv1_modules_4_buffers_running_var_
+        )
+        l_self_modules_conv1_modules_4_parameters_weight_ = (
+            L_self_modules_conv1_modules_4_parameters_weight_
+        )
+        l_self_modules_conv1_modules_4_parameters_bias_ = (
+            L_self_modules_conv1_modules_4_parameters_bias_
+        )
+        l_self_modules_conv1_modules_6_parameters_weight_ = (
+            L_self_modules_conv1_modules_6_parameters_weight_
+        )
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_conv1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv1_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_conv1_modules_1_buffers_running_mean_,
+            l_self_modules_conv1_modules_1_buffers_running_var_,
+            l_self_modules_conv1_modules_1_parameters_weight_,
+            l_self_modules_conv1_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = (
+            l_self_modules_conv1_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_1_parameters_weight_
+        ) = l_self_modules_conv1_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_conv1_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_conv1_modules_3_parameters_weight_ = None
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_conv1_modules_4_buffers_running_mean_,
+            l_self_modules_conv1_modules_4_buffers_running_var_,
+            l_self_modules_conv1_modules_4_parameters_weight_,
+            l_self_modules_conv1_modules_4_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = (
+            l_self_modules_conv1_modules_4_buffers_running_mean_
+        ) = (
+            l_self_modules_conv1_modules_4_buffers_running_var_
+        ) = (
+            l_self_modules_conv1_modules_4_parameters_weight_
+        ) = l_self_modules_conv1_modules_4_parameters_bias_ = None
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_conv1_modules_6_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_conv1_modules_6_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_1 = torch.nn.functional.relu(x, inplace=True)
+        x = None
+        x_2 = torch.nn.functional.max_pool2d(
+            x_1, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None
+        mean = x_10.mean((2, 3))
+        sym_sum = torch.sym_sum([-1, s1])
+        s1 = None
+        floordiv = sym_sum // 4
+        sym_sum_1 = torch.sym_sum([1, floordiv])
+        floordiv = sym_sum_1 = None
+        y = mean.view(1, 1, -1)
+        mean = None
+        y_1 = torch.conv1d(
+            y,
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y = (
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid = y_1.sigmoid()
+        y_1 = None
+        y_2 = sigmoid.view(1, -1, 1, 1)
+        sigmoid = None
+        expand_as = y_2.expand_as(x_10)
+        y_2 = None
+        x_11 = x_10 * expand_as
+        x_10 = expand_as = None
+        input_8 = torch.conv2d(
+            x_2,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_9 = torch.nn.functional.batch_norm(
+            input_8,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_8 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_11 += input_9
+        x_12 = x_11
+        x_11 = input_9 = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None
+        x_16 = torch.nn.functional.relu(x_15, inplace=True)
+        x_15 = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None
+        mean_1 = x_21.mean((2, 3))
+        y_3 = mean_1.view(1, 1, -1)
+        mean_1 = None
+        y_4 = torch.conv1d(
+            y_3,
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_3 = (
+            l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_1 = y_4.sigmoid()
+        y_4 = None
+        y_5 = sigmoid_1.view(1, -1, 1, 1)
+        sigmoid_1 = None
+        expand_as_1 = y_5.expand_as(x_21)
+        y_5 = None
+        x_22 = x_21 * expand_as_1
+        x_21 = expand_as_1 = None
+        x_22 += x_13
+        x_23 = x_22
+        x_22 = x_13 = None
+        x_24 = torch.nn.functional.relu(x_23, inplace=True)
+        x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = None
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None
+        mean_2 = x_32.mean((2, 3))
+        y_6 = mean_2.view(1, 1, -1)
+        mean_2 = None
+        y_7 = torch.conv1d(
+            y_6,
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_6 = (
+            l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_2 = y_7.sigmoid()
+        y_7 = None
+        y_8 = sigmoid_2.view(1, -1, 1, 1)
+        sigmoid_2 = None
+        expand_as_2 = y_8.expand_as(x_32)
+        y_8 = None
+        x_33 = x_32 * expand_as_2
+        x_32 = expand_as_2 = None
+        x_33 += x_24
+        x_34 = x_33
+        x_33 = x_24 = None
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None
+        mean_3 = x_43.mean((2, 3))
+        floordiv_1 = sym_sum // 8
+        sym_sum_2 = torch.sym_sum([1, floordiv_1])
+        floordiv_1 = sym_sum_2 = None
+        y_9 = mean_3.view(1, 1, -1)
+        mean_3 = None
+        y_10 = torch.conv1d(
+            y_9,
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_9 = (
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_3 = y_10.sigmoid()
+        y_10 = None
+        y_11 = sigmoid_3.view(1, -1, 1, 1)
+        sigmoid_3 = None
+        expand_as_3 = y_11.expand_as(x_43)
+        y_11 = None
+        x_44 = x_43 * expand_as_3
+        x_43 = expand_as_3 = None
+        input_10 = torch._C._nn.avg_pool2d(x_35, 2, 2, 0, True, False, None)
+        x_35 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_10 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_12 = torch.nn.functional.batch_norm(
+            input_11,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_11 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_44 += input_12
+        x_45 = x_44
+        x_44 = input_12 = None
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None
+        x_49 = torch.nn.functional.relu(x_48, inplace=True)
+        x_48 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None
+        mean_4 = x_54.mean((2, 3))
+        y_12 = mean_4.view(1, 1, -1)
+        mean_4 = None
+        y_13 = torch.conv1d(
+            y_12,
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_12 = (
+            l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_4 = y_13.sigmoid()
+        y_13 = None
+        y_14 = sigmoid_4.view(1, -1, 1, 1)
+        sigmoid_4 = None
+        expand_as_4 = y_14.expand_as(x_54)
+        y_14 = None
+        x_55 = x_54 * expand_as_4
+        x_54 = expand_as_4 = None
+        x_55 += x_46
+        x_56 = x_55
+        x_55 = x_46 = None
+        x_57 = torch.nn.functional.relu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = None
+        x_63 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None
+        mean_5 = x_65.mean((2, 3))
+        y_15 = mean_5.view(1, 1, -1)
+        mean_5 = None
+        y_16 = torch.conv1d(
+            y_15,
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_15 = (
+            l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_5 = y_16.sigmoid()
+        y_16 = None
+        y_17 = sigmoid_5.view(1, -1, 1, 1)
+        sigmoid_5 = None
+        expand_as_5 = y_17.expand_as(x_65)
+        y_17 = None
+        x_66 = x_65 * expand_as_5
+        x_65 = expand_as_5 = None
+        x_66 += x_57
+        x_67 = x_66
+        x_66 = x_57 = None
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None
+        x_71 = torch.nn.functional.relu(x_70, inplace=True)
+        x_70 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_71 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = None
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None
+        mean_6 = x_76.mean((2, 3))
+        y_18 = mean_6.view(1, 1, -1)
+        mean_6 = None
+        y_19 = torch.conv1d(
+            y_18,
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_18 = (
+            l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_6 = y_19.sigmoid()
+        y_19 = None
+        y_20 = sigmoid_6.view(1, -1, 1, 1)
+        sigmoid_6 = None
+        expand_as_6 = y_20.expand_as(x_76)
+        y_20 = None
+        x_77 = x_76 * expand_as_6
+        x_76 = expand_as_6 = None
+        x_77 += x_68
+        x_78 = x_77
+        x_77 = x_68 = None
+        x_79 = torch.nn.functional.relu(x_78, inplace=True)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None
+        x_85 = torch.nn.functional.relu(x_84, inplace=True)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None
+        mean_7 = x_87.mean((2, 3))
+        floordiv_2 = sym_sum // 16
+        sym_sum_3 = torch.sym_sum([1, floordiv_2])
+        floordiv_2 = sym_sum_3 = None
+        y_21 = mean_7.view(1, 1, -1)
+        mean_7 = None
+        y_22 = torch.conv1d(
+            y_21,
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_21 = (
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_7 = y_22.sigmoid()
+        y_22 = None
+        y_23 = sigmoid_7.view(1, -1, 1, 1)
+        sigmoid_7 = None
+        expand_as_7 = y_23.expand_as(x_87)
+        y_23 = None
+        x_88 = x_87 * expand_as_7
+        x_87 = expand_as_7 = None
+        input_13 = torch._C._nn.avg_pool2d(x_79, 2, 2, 0, True, False, None)
+        x_79 = None
+        input_14 = torch.conv2d(
+            input_13,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_13 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_88 += input_15
+        x_89 = x_88
+        x_88 = input_15 = None
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None
+        x_93 = torch.nn.functional.relu(x_92, inplace=True)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None
+        mean_8 = x_98.mean((2, 3))
+        y_24 = mean_8.view(1, 1, -1)
+        mean_8 = None
+        y_25 = torch.conv1d(
+            y_24,
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_24 = (
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_8 = y_25.sigmoid()
+        y_25 = None
+        y_26 = sigmoid_8.view(1, -1, 1, 1)
+        sigmoid_8 = None
+        expand_as_8 = y_26.expand_as(x_98)
+        y_26 = None
+        x_99 = x_98 * expand_as_8
+        x_98 = expand_as_8 = None
+        x_99 += x_90
+        x_100 = x_99
+        x_99 = x_90 = None
+        x_101 = torch.nn.functional.relu(x_100, inplace=True)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None
+        x_107 = torch.nn.functional.relu(x_106, inplace=True)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None
+        mean_9 = x_109.mean((2, 3))
+        y_27 = mean_9.view(1, 1, -1)
+        mean_9 = None
+        y_28 = torch.conv1d(
+            y_27,
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_27 = (
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_9 = y_28.sigmoid()
+        y_28 = None
+        y_29 = sigmoid_9.view(1, -1, 1, 1)
+        sigmoid_9 = None
+        expand_as_9 = y_29.expand_as(x_109)
+        y_29 = None
+        x_110 = x_109 * expand_as_9
+        x_109 = expand_as_9 = None
+        x_110 += x_101
+        x_111 = x_110
+        x_110 = x_101 = None
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None
+        x_115 = torch.nn.functional.relu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_115 = l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None
+        mean_10 = x_120.mean((2, 3))
+        y_30 = mean_10.view(1, 1, -1)
+        mean_10 = None
+        y_31 = torch.conv1d(
+            y_30,
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_30 = (
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_10 = y_31.sigmoid()
+        y_31 = None
+        y_32 = sigmoid_10.view(1, -1, 1, 1)
+        sigmoid_10 = None
+        expand_as_10 = y_32.expand_as(x_120)
+        y_32 = None
+        x_121 = x_120 * expand_as_10
+        x_120 = expand_as_10 = None
+        x_121 += x_112
+        x_122 = x_121
+        x_121 = x_112 = None
+        x_123 = torch.nn.functional.relu(x_122, inplace=True)
+        x_122 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None
+        x_129 = torch.nn.functional.relu(x_128, inplace=True)
+        x_128 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_129 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None
+        mean_11 = x_131.mean((2, 3))
+        y_33 = mean_11.view(1, 1, -1)
+        mean_11 = None
+        y_34 = torch.conv1d(
+            y_33,
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_33 = (
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_11 = y_34.sigmoid()
+        y_34 = None
+        y_35 = sigmoid_11.view(1, -1, 1, 1)
+        sigmoid_11 = None
+        expand_as_11 = y_35.expand_as(x_131)
+        y_35 = None
+        x_132 = x_131 * expand_as_11
+        x_131 = expand_as_11 = None
+        x_132 += x_123
+        x_133 = x_132
+        x_132 = x_123 = None
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None
+        x_137 = torch.nn.functional.relu(x_136, inplace=True)
+        x_136 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_137 = l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = None
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None
+        mean_12 = x_142.mean((2, 3))
+        y_36 = mean_12.view(1, 1, -1)
+        mean_12 = None
+        y_37 = torch.conv1d(
+            y_36,
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_36 = (
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_12 = y_37.sigmoid()
+        y_37 = None
+        y_38 = sigmoid_12.view(1, -1, 1, 1)
+        sigmoid_12 = None
+        expand_as_12 = y_38.expand_as(x_142)
+        y_38 = None
+        x_143 = x_142 * expand_as_12
+        x_142 = expand_as_12 = None
+        x_143 += x_134
+        x_144 = x_143
+        x_143 = x_134 = None
+        x_145 = torch.nn.functional.relu(x_144, inplace=True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None
+        x_151 = torch.nn.functional.relu(x_150, inplace=True)
+        x_150 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None
+        mean_13 = x_153.mean((2, 3))
+        floordiv_3 = sym_sum // 32
+        sym_sum = None
+        sym_sum_4 = torch.sym_sum([1, floordiv_3])
+        floordiv_3 = sym_sum_4 = None
+        y_39 = mean_13.view(1, 1, -1)
+        mean_13 = None
+        y_40 = torch.conv1d(
+            y_39,
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_39 = (
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_13 = y_40.sigmoid()
+        y_40 = None
+        y_41 = sigmoid_13.view(1, -1, 1, 1)
+        sigmoid_13 = None
+        expand_as_13 = y_41.expand_as(x_153)
+        y_41 = None
+        x_154 = x_153 * expand_as_13
+        x_153 = expand_as_13 = None
+        input_16 = torch._C._nn.avg_pool2d(x_145, 2, 2, 0, True, False, None)
+        x_145 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_16 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_154 += input_18
+        x_155 = x_154
+        x_154 = input_18 = None
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None
+        x_159 = torch.nn.functional.relu(x_158, inplace=True)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None
+        mean_14 = x_164.mean((2, 3))
+        y_42 = mean_14.view(1, 1, -1)
+        mean_14 = None
+        y_43 = torch.conv1d(
+            y_42,
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_42 = (
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_14 = y_43.sigmoid()
+        y_43 = None
+        y_44 = sigmoid_14.view(1, -1, 1, 1)
+        sigmoid_14 = None
+        expand_as_14 = y_44.expand_as(x_164)
+        y_44 = None
+        x_165 = x_164 * expand_as_14
+        x_164 = expand_as_14 = None
+        x_165 += x_156
+        x_166 = x_165
+        x_165 = x_156 = None
+        x_167 = torch.nn.functional.relu(x_166, inplace=True)
+        x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None
+        x_170 = torch.nn.functional.relu(x_169, inplace=True)
+        x_169 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_170 = l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = None
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None
+        x_173 = torch.nn.functional.relu(x_172, inplace=True)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = None
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None
+        mean_15 = x_175.mean((2, 3))
+        y_45 = mean_15.view(1, 1, -1)
+        mean_15 = None
+        y_46 = torch.conv1d(
+            y_45,
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_45 = (
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_15 = y_46.sigmoid()
+        y_46 = None
+        y_47 = sigmoid_15.view(1, -1, 1, 1)
+        sigmoid_15 = None
+        expand_as_15 = y_47.expand_as(x_175)
+        y_47 = None
+        x_176 = x_175 * expand_as_15
+        x_175 = expand_as_15 = None
+        x_176 += x_167
+        x_177 = x_176
+        x_176 = x_167 = None
+        x_178 = torch.nn.functional.relu(x_177, inplace=True)
+        x_177 = None
+        x_179 = torch.nn.functional.adaptive_avg_pool2d(x_178, 1)
+        x_178 = None
+        x_180 = x_179.flatten(1, -1)
+        x_179 = None
+        x_181 = torch._C._nn.linear(
+            x_180,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+        )
+        x_180 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        return (x_181,)
diff --git a/samples/timm/ecaresnet50t.a1_in1k/weight_meta.py b/samples/timm/ecaresnet50t.a1_in1k/weight_meta.py
new file mode 100644
index 000000000..ff2eebe56
--- /dev/null
+++ b/samples/timm/ecaresnet50t.a1_in1k/weight_meta.py
@@ -0,0 +1,2956 @@
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_0_parameters_weight_:
+    name = "L_self_modules_conv1_modules_0_parameters_weight_"
+    shape = [24, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_:
+    name = "L_self_modules_conv1_modules_1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_:
+    name = "L_self_modules_conv1_modules_1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_:
+    name = "L_self_modules_conv1_modules_3_parameters_weight_"
+    shape = [32, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_mean_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_var_:
+    name = "L_self_modules_conv1_modules_4_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_weight_:
+    name = "L_self_modules_conv1_modules_4_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_bias_:
+    name = "L_self_modules_conv1_modules_4_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv1_modules_6_parameters_weight_:
+    name = "L_self_modules_conv1_modules_6_parameters_weight_"
+    shape = [64, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.053
+    std = 0.247
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.041
+    std = 0.352
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.198
+    std = 0.169
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.019
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.019
+    std = 0.253
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.306
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.016
+    std = 0.186
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.226
+    std = 0.244
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.176
+    std = 0.243
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.042
+    std = 0.347
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.027
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.057
+    std = 0.242
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.016
+    std = 0.296
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.074
+    std = 0.230
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.220
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
diff --git a/samples/timm/ecaresnetlight.miil_in1k/graph_hash.txt b/samples/timm/ecaresnetlight.miil_in1k/graph_hash.txt
new file mode 100644
index 000000000..a43eacd4a
--- /dev/null
+++ b/samples/timm/ecaresnetlight.miil_in1k/graph_hash.txt
@@ -0,0 +1 @@
+296b11c610115397c9a1ff3154ae8b7e9cb0dc954a9bfd3ed32fa0d8c8b523cc
\ No newline at end of file
diff --git a/samples/timm/ecaresnetlight.miil_in1k/graph_net.json b/samples/timm/ecaresnetlight.miil_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ecaresnetlight.miil_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ecaresnetlight.miil_in1k/input_meta.py b/samples/timm/ecaresnetlight.miil_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnetlight.miil_in1k/input_tensor_constraints.py b/samples/timm/ecaresnetlight.miil_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ecaresnetlight.miil_in1k/model.py b/samples/timm/ecaresnetlight.miil_in1k/model.py
new file mode 100644
index 000000000..20c805fd5
--- /dev/null
+++ b/samples/timm/ecaresnetlight.miil_in1k/model.py
@@ -0,0 +1,3053 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor,
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+        L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv1_parameters_weight_ = (
+            L_self_modules_conv1_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_
+        l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ = (
+            L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        )
+        l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_
+        l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv1_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv1_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.nn.functional.max_pool2d(
+            x_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_2 = None
+        x_4 = torch.conv2d(
+            x_3,
+            l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None
+        x_5 = torch.nn.functional.batch_norm(
+            x_4,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_4 = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None
+        x_6 = torch.nn.functional.relu(x_5, inplace=True)
+        x_5 = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None
+        x_8 = torch.nn.functional.batch_norm(
+            x_7,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_7 = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None
+        x_9 = torch.nn.functional.relu(x_8, inplace=True)
+        x_8 = None
+        x_10 = torch.conv2d(
+            x_9,
+            l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_9 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None
+        x_11 = torch.nn.functional.batch_norm(
+            x_10,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_10 = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None
+        mean = x_11.mean((2, 3))
+        sym_sum = torch.sym_sum([-1, s1])
+        s1 = None
+        floordiv = sym_sum // 4
+        sym_sum_1 = torch.sym_sum([1, floordiv])
+        floordiv = sym_sum_1 = None
+        y = mean.view(1, 1, -1)
+        mean = None
+        y_1 = torch.conv1d(
+            y,
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y = (
+            l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid = y_1.sigmoid()
+        y_1 = None
+        y_2 = sigmoid.view(1, -1, 1, 1)
+        sigmoid = None
+        expand_as = y_2.expand_as(x_11)
+        y_2 = None
+        x_12 = x_11 * expand_as
+        x_11 = expand_as = None
+        input_1 = torch.conv2d(
+            x_3,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_3 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_12 += input_2
+        x_13 = x_12
+        x_12 = input_2 = None
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None
+        x_17 = torch.nn.functional.relu(x_16, inplace=True)
+        x_16 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None
+        mean_1 = x_22.mean((2, 3))
+        floordiv_1 = sym_sum // 8
+        sym_sum_2 = torch.sym_sum([1, floordiv_1])
+        floordiv_1 = sym_sum_2 = None
+        y_3 = mean_1.view(1, 1, -1)
+        mean_1 = None
+        y_4 = torch.conv1d(
+            y_3,
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_3 = (
+            l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_1 = y_4.sigmoid()
+        y_4 = None
+        y_5 = sigmoid_1.view(1, -1, 1, 1)
+        sigmoid_1 = None
+        expand_as_1 = y_5.expand_as(x_22)
+        y_5 = None
+        x_23 = x_22 * expand_as_1
+        x_22 = expand_as_1 = None
+        input_3 = torch._C._nn.avg_pool2d(x_14, 2, 2, 0, True, False, None)
+        x_14 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_23 += input_5
+        x_24 = x_23
+        x_23 = input_5 = None
+        x_25 = torch.nn.functional.relu(x_24, inplace=True)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None
+        x_28 = torch.nn.functional.relu(x_27, inplace=True)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None
+        x_30 = torch.nn.functional.batch_norm(
+            x_29,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_29 = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None
+        x_31 = torch.nn.functional.relu(x_30, inplace=True)
+        x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None
+        mean_2 = x_33.mean((2, 3))
+        floordiv_2 = sym_sum // 16
+        sym_sum_3 = torch.sym_sum([1, floordiv_2])
+        floordiv_2 = sym_sum_3 = None
+        y_6 = mean_2.view(1, 1, -1)
+        mean_2 = None
+        y_7 = torch.conv1d(
+            y_6,
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_6 = (
+            l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_2 = y_7.sigmoid()
+        y_7 = None
+        y_8 = sigmoid_2.view(1, -1, 1, 1)
+        sigmoid_2 = None
+        expand_as_2 = y_8.expand_as(x_33)
+        y_8 = None
+        x_34 = x_33 * expand_as_2
+        x_33 = expand_as_2 = None
+        input_6 = torch._C._nn.avg_pool2d(x_25, 2, 2, 0, True, False, None)
+        x_25 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_6 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_8 = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_34 += input_8
+        x_35 = x_34
+        x_34 = input_8 = None
+        x_36 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        x_37 = torch.conv2d(
+            x_36,
+            l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None
+        x_38 = torch.nn.functional.batch_norm(
+            x_37,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_37 = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None
+        x_39 = torch.nn.functional.relu(x_38, inplace=True)
+        x_38 = None
+        x_40 = torch.conv2d(
+            x_39,
+            l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_39 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None
+        x_42 = torch.nn.functional.relu(x_41, inplace=True)
+        x_41 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None
+        mean_3 = x_44.mean((2, 3))
+        y_9 = mean_3.view(1, 1, -1)
+        mean_3 = None
+        y_10 = torch.conv1d(
+            y_9,
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_9 = (
+            l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_3 = y_10.sigmoid()
+        y_10 = None
+        y_11 = sigmoid_3.view(1, -1, 1, 1)
+        sigmoid_3 = None
+        expand_as_3 = y_11.expand_as(x_44)
+        y_11 = None
+        x_45 = x_44 * expand_as_3
+        x_44 = expand_as_3 = None
+        x_45 += x_36
+        x_46 = x_45
+        x_45 = x_36 = None
+        x_47 = torch.nn.functional.relu(x_46, inplace=True)
+        x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None
+        x_50 = torch.nn.functional.relu(x_49, inplace=True)
+        x_49 = None
+        x_51 = torch.conv2d(
+            x_50,
+            l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_50 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None
+        x_52 = torch.nn.functional.batch_norm(
+            x_51,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_51 = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None
+        x_53 = torch.nn.functional.relu(x_52, inplace=True)
+        x_52 = None
+        x_54 = torch.conv2d(
+            x_53,
+            l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_53 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None
+        x_55 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_54 = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None
+        mean_4 = x_55.mean((2, 3))
+        y_12 = mean_4.view(1, 1, -1)
+        mean_4 = None
+        y_13 = torch.conv1d(
+            y_12,
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_12 = (
+            l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_4 = y_13.sigmoid()
+        y_13 = None
+        y_14 = sigmoid_4.view(1, -1, 1, 1)
+        sigmoid_4 = None
+        expand_as_4 = y_14.expand_as(x_55)
+        y_14 = None
+        x_56 = x_55 * expand_as_4
+        x_55 = expand_as_4 = None
+        x_56 += x_47
+        x_57 = x_56
+        x_56 = x_47 = None
+        x_58 = torch.nn.functional.relu(x_57, inplace=True)
+        x_57 = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None
+        x_60 = torch.nn.functional.batch_norm(
+            x_59,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_59 = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None
+        x_61 = torch.nn.functional.relu(x_60, inplace=True)
+        x_60 = None
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_61 = l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = None
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None
+        x_64 = torch.nn.functional.relu(x_63, inplace=True)
+        x_63 = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_65 = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None
+        mean_5 = x_66.mean((2, 3))
+        y_15 = mean_5.view(1, 1, -1)
+        mean_5 = None
+        y_16 = torch.conv1d(
+            y_15,
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_15 = (
+            l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_5 = y_16.sigmoid()
+        y_16 = None
+        y_17 = sigmoid_5.view(1, -1, 1, 1)
+        sigmoid_5 = None
+        expand_as_5 = y_17.expand_as(x_66)
+        y_17 = None
+        x_67 = x_66 * expand_as_5
+        x_66 = expand_as_5 = None
+        x_67 += x_58
+        x_68 = x_67
+        x_67 = x_58 = None
+        x_69 = torch.nn.functional.relu(x_68, inplace=True)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None
+        x_72 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_72 = l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = None
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None
+        x_75 = torch.nn.functional.relu(x_74, inplace=True)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None
+        mean_6 = x_77.mean((2, 3))
+        y_18 = mean_6.view(1, 1, -1)
+        mean_6 = None
+        y_19 = torch.conv1d(
+            y_18,
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_18 = (
+            l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_6 = y_19.sigmoid()
+        y_19 = None
+        y_20 = sigmoid_6.view(1, -1, 1, 1)
+        sigmoid_6 = None
+        expand_as_6 = y_20.expand_as(x_77)
+        y_20 = None
+        x_78 = x_77 * expand_as_6
+        x_77 = expand_as_6 = None
+        x_78 += x_69
+        x_79 = x_78
+        x_78 = x_69 = None
+        x_80 = torch.nn.functional.relu(x_79, inplace=True)
+        x_79 = None
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None
+        x_82 = torch.nn.functional.batch_norm(
+            x_81,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_81 = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None
+        x_83 = torch.nn.functional.relu(x_82, inplace=True)
+        x_82 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_83 = l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = None
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None
+        x_86 = torch.nn.functional.relu(x_85, inplace=True)
+        x_85 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None
+        mean_7 = x_88.mean((2, 3))
+        y_21 = mean_7.view(1, 1, -1)
+        mean_7 = None
+        y_22 = torch.conv1d(
+            y_21,
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_21 = (
+            l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_7 = y_22.sigmoid()
+        y_22 = None
+        y_23 = sigmoid_7.view(1, -1, 1, 1)
+        sigmoid_7 = None
+        expand_as_7 = y_23.expand_as(x_88)
+        y_23 = None
+        x_89 = x_88 * expand_as_7
+        x_88 = expand_as_7 = None
+        x_89 += x_80
+        x_90 = x_89
+        x_89 = x_80 = None
+        x_91 = torch.nn.functional.relu(x_90, inplace=True)
+        x_90 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = None
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = (
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = None
+        x_94 = torch.nn.functional.relu(x_93, inplace=True)
+        x_93 = None
+        x_95 = torch.conv2d(
+            x_94,
+            l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_94 = l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ = None
+        x_96 = torch.nn.functional.batch_norm(
+            x_95,
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_95 = (
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = None
+        x_97 = torch.nn.functional.relu(x_96, inplace=True)
+        x_96 = None
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_97 = l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = None
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = (
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = None
+        mean_8 = x_99.mean((2, 3))
+        y_24 = mean_8.view(1, 1, -1)
+        mean_8 = None
+        y_25 = torch.conv1d(
+            y_24,
+            l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_24 = (
+            l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_8 = y_25.sigmoid()
+        y_25 = None
+        y_26 = sigmoid_8.view(1, -1, 1, 1)
+        sigmoid_8 = None
+        expand_as_8 = y_26.expand_as(x_99)
+        y_26 = None
+        x_100 = x_99 * expand_as_8
+        x_99 = expand_as_8 = None
+        x_100 += x_91
+        x_101 = x_100
+        x_100 = x_91 = None
+        x_102 = torch.nn.functional.relu(x_101, inplace=True)
+        x_101 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = None
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = None
+        x_105 = torch.nn.functional.relu(x_104, inplace=True)
+        x_104 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_105 = l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ = None
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = None
+        x_108 = torch.nn.functional.relu(x_107, inplace=True)
+        x_107 = None
+        x_109 = torch.conv2d(
+            x_108,
+            l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_108 = l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = None
+        x_110 = torch.nn.functional.batch_norm(
+            x_109,
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_109 = (
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = None
+        mean_9 = x_110.mean((2, 3))
+        y_27 = mean_9.view(1, 1, -1)
+        mean_9 = None
+        y_28 = torch.conv1d(
+            y_27,
+            l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_27 = (
+            l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_9 = y_28.sigmoid()
+        y_28 = None
+        y_29 = sigmoid_9.view(1, -1, 1, 1)
+        sigmoid_9 = None
+        expand_as_9 = y_29.expand_as(x_110)
+        y_29 = None
+        x_111 = x_110 * expand_as_9
+        x_110 = expand_as_9 = None
+        x_111 += x_102
+        x_112 = x_111
+        x_111 = x_102 = None
+        x_113 = torch.nn.functional.relu(x_112, inplace=True)
+        x_112 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = None
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = (
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = None
+        x_116 = torch.nn.functional.relu(x_115, inplace=True)
+        x_115 = None
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_116 = l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ = None
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = (
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = None
+        x_119 = torch.nn.functional.relu(x_118, inplace=True)
+        x_118 = None
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_119 = l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = None
+        x_121 = torch.nn.functional.batch_norm(
+            x_120,
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_120 = (
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = None
+        mean_10 = x_121.mean((2, 3))
+        y_30 = mean_10.view(1, 1, -1)
+        mean_10 = None
+        y_31 = torch.conv1d(
+            y_30,
+            l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_30 = (
+            l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_10 = y_31.sigmoid()
+        y_31 = None
+        y_32 = sigmoid_10.view(1, -1, 1, 1)
+        sigmoid_10 = None
+        expand_as_10 = y_32.expand_as(x_121)
+        y_32 = None
+        x_122 = x_121 * expand_as_10
+        x_121 = expand_as_10 = None
+        x_122 += x_113
+        x_123 = x_122
+        x_122 = x_113 = None
+        x_124 = torch.nn.functional.relu(x_123, inplace=True)
+        x_123 = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = None
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = (
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = None
+        x_127 = torch.nn.functional.relu(x_126, inplace=True)
+        x_126 = None
+        x_128 = torch.conv2d(
+            x_127,
+            l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_127 = l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ = None
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = (
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = None
+        x_130 = torch.nn.functional.relu(x_129, inplace=True)
+        x_129 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = None
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = (
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = None
+        mean_11 = x_132.mean((2, 3))
+        y_33 = mean_11.view(1, 1, -1)
+        mean_11 = None
+        y_34 = torch.conv1d(
+            y_33,
+            l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_33 = (
+            l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_11 = y_34.sigmoid()
+        y_34 = None
+        y_35 = sigmoid_11.view(1, -1, 1, 1)
+        sigmoid_11 = None
+        expand_as_11 = y_35.expand_as(x_132)
+        y_35 = None
+        x_133 = x_132 * expand_as_11
+        x_132 = expand_as_11 = None
+        x_133 += x_124
+        x_134 = x_133
+        x_133 = x_124 = None
+        x_135 = torch.nn.functional.relu(x_134, inplace=True)
+        x_134 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = None
+        x_137 = torch.nn.functional.batch_norm(
+            x_136,
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_136 = (
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = None
+        x_138 = torch.nn.functional.relu(x_137, inplace=True)
+        x_137 = None
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_138 = l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ = None
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = (
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = None
+        x_141 = torch.nn.functional.relu(x_140, inplace=True)
+        x_140 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_141 = l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = None
+        x_143 = torch.nn.functional.batch_norm(
+            x_142,
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_,
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_,
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_142 = (
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = None
+        mean_12 = x_143.mean((2, 3))
+        y_36 = mean_12.view(1, 1, -1)
+        mean_12 = None
+        y_37 = torch.conv1d(
+            y_36,
+            l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (2,),
+            (1,),
+            1,
+        )
+        y_36 = (
+            l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_12 = y_37.sigmoid()
+        y_37 = None
+        y_38 = sigmoid_12.view(1, -1, 1, 1)
+        sigmoid_12 = None
+        expand_as_12 = y_38.expand_as(x_143)
+        y_38 = None
+        x_144 = x_143 * expand_as_12
+        x_143 = expand_as_12 = None
+        x_144 += x_135
+        x_145 = x_144
+        x_144 = x_135 = None
+        x_146 = torch.nn.functional.relu(x_145, inplace=True)
+        x_145 = None
+        x_147 = torch.conv2d(
+            x_146,
+            l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None
+        x_148 = torch.nn.functional.batch_norm(
+            x_147,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_147 = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None
+        x_149 = torch.nn.functional.relu(x_148, inplace=True)
+        x_148 = None
+        x_150 = torch.conv2d(
+            x_149,
+            l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_149 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None
+        x_151 = torch.nn.functional.batch_norm(
+            x_150,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_150 = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None
+        x_152 = torch.nn.functional.relu(x_151, inplace=True)
+        x_151 = None
+        x_153 = torch.conv2d(
+            x_152,
+            l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_152 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None
+        x_154 = torch.nn.functional.batch_norm(
+            x_153,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_153 = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None
+        mean_13 = x_154.mean((2, 3))
+        floordiv_3 = sym_sum // 32
+        sym_sum = None
+        sym_sum_4 = torch.sym_sum([1, floordiv_3])
+        floordiv_3 = sym_sum_4 = None
+        y_39 = mean_13.view(1, 1, -1)
+        mean_13 = None
+        y_40 = torch.conv1d(
+            y_39,
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_39 = (
+            l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_13 = y_40.sigmoid()
+        y_40 = None
+        y_41 = sigmoid_13.view(1, -1, 1, 1)
+        sigmoid_13 = None
+        expand_as_13 = y_41.expand_as(x_154)
+        y_41 = None
+        x_155 = x_154 * expand_as_13
+        x_154 = expand_as_13 = None
+        input_9 = torch._C._nn.avg_pool2d(x_146, 2, 2, 0, True, False, None)
+        x_146 = None
+        input_10 = torch.conv2d(
+            input_9,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None)
+        input_11 = torch.nn.functional.batch_norm(
+            input_10,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_,
+            l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_10 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None)
+        x_155 += input_11
+        x_156 = x_155
+        x_155 = input_11 = None
+        x_157 = torch.nn.functional.relu(x_156, inplace=True)
+        x_156 = None
+        x_158 = torch.conv2d(
+            x_157,
+            l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None
+        x_159 = torch.nn.functional.batch_norm(
+            x_158,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_158 = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None
+        x_160 = torch.nn.functional.relu(x_159, inplace=True)
+        x_159 = None
+        x_161 = torch.conv2d(
+            x_160,
+            l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_160 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None
+        x_162 = torch.nn.functional.batch_norm(
+            x_161,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_161 = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None
+        x_163 = torch.nn.functional.relu(x_162, inplace=True)
+        x_162 = None
+        x_164 = torch.conv2d(
+            x_163,
+            l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_163 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None
+        x_165 = torch.nn.functional.batch_norm(
+            x_164,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_164 = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None
+        mean_14 = x_165.mean((2, 3))
+        y_42 = mean_14.view(1, 1, -1)
+        mean_14 = None
+        y_43 = torch.conv1d(
+            y_42,
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_42 = (
+            l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_14 = y_43.sigmoid()
+        y_43 = None
+        y_44 = sigmoid_14.view(1, -1, 1, 1)
+        sigmoid_14 = None
+        expand_as_14 = y_44.expand_as(x_165)
+        y_44 = None
+        x_166 = x_165 * expand_as_14
+        x_165 = expand_as_14 = None
+        x_166 += x_157
+        x_167 = x_166
+        x_166 = x_157 = None
+        x_168 = torch.nn.functional.relu(x_167, inplace=True)
+        x_167 = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None
+        x_170 = torch.nn.functional.batch_norm(
+            x_169,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_169 = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None
+        x_171 = torch.nn.functional.relu(x_170, inplace=True)
+        x_170 = None
+        x_172 = torch.conv2d(
+            x_171,
+            l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_171 = l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = None
+        x_173 = torch.nn.functional.batch_norm(
+            x_172,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_172 = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None
+        x_174 = torch.nn.functional.relu(x_173, inplace=True)
+        x_173 = None
+        x_175 = torch.conv2d(
+            x_174,
+            l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_174 = l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = None
+        x_176 = torch.nn.functional.batch_norm(
+            x_175,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_175 = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_
+        ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None
+        mean_15 = x_176.mean((2, 3))
+        y_45 = mean_15.view(1, 1, -1)
+        mean_15 = None
+        y_46 = torch.conv1d(
+            y_45,
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_,
+            None,
+            (1,),
+            (3,),
+            (1,),
+            1,
+        )
+        y_45 = (
+            l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_
+        ) = None
+        sigmoid_15 = y_46.sigmoid()
+        y_46 = None
+        y_47 = sigmoid_15.view(1, -1, 1, 1)
+        sigmoid_15 = None
+        expand_as_15 = y_47.expand_as(x_176)
+        y_47 = None
+        x_177 = x_176 * expand_as_15
+        x_176 = expand_as_15 = None
+        x_177 += x_168
+        x_178 = x_177
+        x_177 = x_168 = None
+        x_179 = torch.nn.functional.relu(x_178, inplace=True)
+        x_178 = None
+        x_180 = torch.nn.functional.adaptive_avg_pool2d(x_179, 1)
+        x_179 = None
+        x_181 = x_180.flatten(1, -1)
+        x_180 = None
+        x_182 = torch._C._nn.linear(
+            x_181,
+            l_self_modules_fc_parameters_weight_,
+            l_self_modules_fc_parameters_bias_,
+        )
+        x_181 = (
+            l_self_modules_fc_parameters_weight_
+        ) = l_self_modules_fc_parameters_bias_ = None
+        return (x_182,)
diff --git a/samples/timm/ecaresnetlight.miil_in1k/weight_meta.py b/samples/timm/ecaresnetlight.miil_in1k/weight_meta.py
new file mode 100644
index 000000000..458f859a3
--- /dev/null
+++ b/samples/timm/ecaresnetlight.miil_in1k/weight_meta.py
@@ -0,0 +1,2856 @@
+class Program_weight_tensor_meta_L_self_modules_conv1_parameters_weight_:
+    name = "L_self_modules_conv1_parameters_weight_"
+    shape = [64, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.233
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.179
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.199
+    std = 0.194
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.321
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.337
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.193
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.186
+    std = 0.186
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.150
+    std = 0.229
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.080
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.197
+    std = 0.154
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.012
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.334
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.040
+    std = 0.272
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.021
+    std = 0.246
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.291
+    std = 0.127
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.145
+    std = 0.202
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_:
+    name = (
+        "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_"
+    )
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.110
+    std = 0.262
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_"
+    shape = [512, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_:
+    name = "L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_"
+    shape = [1, 1, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.039
+    std = 0.211
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_:
+    name = "L_self_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_:
+    name = "L_self_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.012
+    data = None
diff --git a/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/graph_hash.txt b/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/graph_hash.txt
new file mode 100644
index 000000000..c61363865
--- /dev/null
+++ b/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/graph_hash.txt
@@ -0,0 +1 @@
+6bdca676f4d96f075ac35c6d8d4d3a101fcc230ab0bc3c41310e79d5a881494f
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/graph_net.json b/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/input_meta.py b/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/input_tensor_constraints.py b/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/model.py b/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/model.py
new file mode 100644
index 000000000..9a23a446b
--- /dev/null
+++ b/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/model.py
@@ -0,0 +1,3098 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.silu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.silu(x_4, inplace=True)
+        x_4 = None
+        x_se = x_5.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.silu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid = torch.sigmoid(x_se_3)
+        x_se_3 = None
+        x_6 = x_5 * sigmoid
+        x_5 = sigmoid = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_8 = torch.nn.functional.batch_norm(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_11 = torch.nn.functional.silu(x_10, inplace=True)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_14 = torch.nn.functional.silu(x_13, inplace=True)
+        x_13 = None
+        x_se_4 = x_14.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.silu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_1 = torch.sigmoid(x_se_7)
+        x_se_7 = None
+        x_15 = x_14 * sigmoid_1
+        x_14 = sigmoid_1 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_20 = torch.nn.functional.silu(x_19, inplace=True)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            144,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_23 = torch.nn.functional.silu(x_22, inplace=True)
+        x_22 = None
+        x_se_8 = x_23.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.silu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_2 = torch.sigmoid(x_se_11)
+        x_se_11 = None
+        x_24 = x_23 * sigmoid_2
+        x_23 = sigmoid_2 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_27 = x_26 + x_17
+        x_26 = x_17 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_30 = torch.nn.functional.silu(x_29, inplace=True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            144,
+        )
+        x_30 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_33 = torch.nn.functional.silu(x_32, inplace=True)
+        x_32 = None
+        x_se_12 = x_33.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.silu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_3 = torch.sigmoid(x_se_15)
+        x_se_15 = None
+        x_34 = x_33 * sigmoid_3
+        x_33 = sigmoid_3 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_34 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_37 = torch.conv2d(
+            x_36,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_38 = torch.nn.functional.batch_norm(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_39 = torch.nn.functional.silu(x_38, inplace=True)
+        x_38 = None
+        x_40 = torch.conv2d(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            240,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_42 = torch.nn.functional.silu(x_41, inplace=True)
+        x_41 = None
+        x_se_16 = x_42.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.silu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_4 = torch.sigmoid(x_se_19)
+        x_se_19 = None
+        x_43 = x_42 * sigmoid_4
+        x_42 = sigmoid_4 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_46 = x_45 + x_36
+        x_45 = x_36 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_49 = torch.nn.functional.silu(x_48, inplace=True)
+        x_48 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_52 = torch.nn.functional.silu(x_51, inplace=True)
+        x_51 = None
+        x_se_20 = x_52.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.silu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_5 = torch.sigmoid(x_se_23)
+        x_se_23 = None
+        x_53 = x_52 * sigmoid_5
+        x_52 = sigmoid_5 = None
+        x_54 = torch.conv2d(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_53 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_55 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_54 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_58 = torch.nn.functional.silu(x_57, inplace=True)
+        x_57 = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_60 = torch.nn.functional.batch_norm(
+            x_59,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.silu(x_60, inplace=True)
+        x_60 = None
+        x_se_24 = x_61.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.silu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_6 = torch.sigmoid(x_se_27)
+        x_se_27 = None
+        x_62 = x_61 * sigmoid_6
+        x_61 = sigmoid_6 = None
+        x_63 = torch.conv2d(
+            x_62,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_64 = torch.nn.functional.batch_norm(
+            x_63,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_65 = x_64 + x_55
+        x_64 = x_55 = None
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_68 = torch.nn.functional.silu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        x_68 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_71 = torch.nn.functional.silu(x_70, inplace=True)
+        x_70 = None
+        x_se_28 = x_71.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.silu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_7 = torch.sigmoid(x_se_31)
+        x_se_31 = None
+        x_72 = x_71 * sigmoid_7
+        x_71 = sigmoid_7 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_72 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_75 = x_74 + x_65
+        x_74 = x_65 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_78 = torch.nn.functional.silu(x_77, inplace=True)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_78 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.silu(x_80, inplace=True)
+        x_80 = None
+        x_se_32 = x_81.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.silu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_8 = torch.sigmoid(x_se_35)
+        x_se_35 = None
+        x_82 = x_81 * sigmoid_8
+        x_81 = sigmoid_8 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_86 = torch.nn.functional.batch_norm(
+            x_85,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.silu(x_86, inplace=True)
+        x_86 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_90 = torch.nn.functional.silu(x_89, inplace=True)
+        x_89 = None
+        x_se_36 = x_90.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.silu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_9 = torch.sigmoid(x_se_39)
+        x_se_39 = None
+        x_91 = x_90 * sigmoid_9
+        x_90 = sigmoid_9 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_91 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_94 = x_93 + x_84
+        x_93 = x_84 = None
+        x_95 = torch.conv2d(
+            x_94,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_96 = torch.nn.functional.batch_norm(
+            x_95,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_95 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_97 = torch.nn.functional.silu(x_96, inplace=True)
+        x_96 = None
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_100 = torch.nn.functional.silu(x_99, inplace=True)
+        x_99 = None
+        x_se_40 = x_100.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.silu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_10 = torch.sigmoid(x_se_43)
+        x_se_43 = None
+        x_101 = x_100 * sigmoid_10
+        x_100 = sigmoid_10 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_101 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_104 = x_103 + x_94
+        x_103 = x_94 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_107 = torch.nn.functional.silu(x_106, inplace=True)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_107 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_110 = torch.nn.functional.silu(x_109, inplace=True)
+        x_109 = None
+        x_se_44 = x_110.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.silu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_11 = torch.sigmoid(x_se_47)
+        x_se_47 = None
+        x_111 = x_110 * sigmoid_11
+        x_110 = sigmoid_11 = None
+        x_112 = torch.conv2d(
+            x_111,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_111 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_113 = torch.nn.functional.batch_norm(
+            x_112,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_116 = torch.nn.functional.silu(x_115, inplace=True)
+        x_115 = None
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_119 = torch.nn.functional.silu(x_118, inplace=True)
+        x_118 = None
+        x_se_48 = x_119.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.silu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_12 = torch.sigmoid(x_se_51)
+        x_se_51 = None
+        x_120 = x_119 * sigmoid_12
+        x_119 = sigmoid_12 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_123 = x_122 + x_113
+        x_122 = x_113 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.silu(x_125, inplace=True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_129 = torch.nn.functional.silu(x_128, inplace=True)
+        x_128 = None
+        x_se_52 = x_129.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.silu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_13 = torch.sigmoid(x_se_55)
+        x_se_55 = None
+        x_130 = x_129 * sigmoid_13
+        x_129 = sigmoid_13 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_133 = x_132 + x_123
+        x_132 = x_123 = None
+        x_134 = torch.conv2d(
+            x_133,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_135 = torch.nn.functional.batch_norm(
+            x_134,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_134 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_136 = torch.nn.functional.silu(x_135, inplace=True)
+        x_135 = None
+        x_137 = torch.conv2d(
+            x_136,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_138 = torch.nn.functional.batch_norm(
+            x_137,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_137 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_139 = torch.nn.functional.silu(x_138, inplace=True)
+        x_138 = None
+        x_se_56 = x_139.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.silu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_14 = torch.sigmoid(x_se_59)
+        x_se_59 = None
+        x_140 = x_139 * sigmoid_14
+        x_139 = sigmoid_14 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_143 = x_142 + x_133
+        x_142 = x_133 = None
+        x_144 = torch.conv2d(
+            x_143,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_145 = torch.nn.functional.batch_norm(
+            x_144,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_146 = torch.nn.functional.silu(x_145, inplace=True)
+        x_145 = None
+        x_147 = torch.conv2d(
+            x_146,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_146 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_148 = torch.nn.functional.batch_norm(
+            x_147,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_147 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_149 = torch.nn.functional.silu(x_148, inplace=True)
+        x_148 = None
+        x_se_60 = x_149.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.silu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_15 = torch.sigmoid(x_se_63)
+        x_se_63 = None
+        x_150 = x_149 * sigmoid_15
+        x_149 = sigmoid_15 = None
+        x_151 = torch.conv2d(
+            x_150,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_150 = l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_152 = torch.nn.functional.batch_norm(
+            x_151,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_151 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_153 = torch.conv2d(
+            x_152,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_152 = l_self_modules_conv_head_parameters_weight_ = None
+        x_154 = torch.nn.functional.batch_norm(
+            x_153,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_153 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_155 = torch.nn.functional.silu(x_154, inplace=True)
+        x_154 = None
+        x_156 = torch.nn.functional.adaptive_avg_pool2d(x_155, 1)
+        x_155 = None
+        x_157 = x_156.flatten(1, -1)
+        x_156 = None
+        x_158 = torch._C._nn.linear(
+            x_157,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_157 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_158,)
diff --git a/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/weight_meta.py b/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/weight_meta.py
new file mode 100644
index 000000000..ab8133ac3
--- /dev/null
+++ b/samples/timm/efficientnet_b0.ra4_e3600_r224_in1k/weight_meta.py
@@ -0,0 +1,3222 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.085
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.020
+    std = 0.451
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.035
+    std = 0.528
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [32, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.023
+    std = 0.278
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.020
+    std = 0.358
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [96, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.141
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.462
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [4, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.014
+    std = 0.617
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [96, 4, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.138
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.292
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.466
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.030
+    std = 0.595
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.120
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.292
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.277
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.044
+    std = 0.595
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.120
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [10, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.017
+    std = 0.451
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.227
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [10, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.444
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.159
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.318
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.318
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.317
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.269
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.267
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.278
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.267
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [320, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnet_b1.ft_in1k/graph_hash.txt b/samples/timm/efficientnet_b1.ft_in1k/graph_hash.txt
new file mode 100644
index 000000000..eba4ab0f3
--- /dev/null
+++ b/samples/timm/efficientnet_b1.ft_in1k/graph_hash.txt
@@ -0,0 +1 @@
+cc5e48eaa029e959186097a401f79061b1e8c1bca16dc7cc728d909fd89caf9d
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b1.ft_in1k/graph_net.json b/samples/timm/efficientnet_b1.ft_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnet_b1.ft_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b1.ft_in1k/input_meta.py b/samples/timm/efficientnet_b1.ft_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b1.ft_in1k/input_tensor_constraints.py b/samples/timm/efficientnet_b1.ft_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b1.ft_in1k/model.py b/samples/timm/efficientnet_b1.ft_in1k/model.py
new file mode 100644
index 000000000..3a32481ba
--- /dev/null
+++ b/samples/timm/efficientnet_b1.ft_in1k/model.py
@@ -0,0 +1,4379 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.silu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.silu(x_4, inplace=True)
+        x_4 = None
+        x_se = x_5.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.silu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid = torch.sigmoid(x_se_3)
+        x_se_3 = None
+        x_6 = x_5 * sigmoid
+        x_5 = sigmoid = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_8 = torch.nn.functional.batch_norm(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            16,
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_11 = torch.nn.functional.silu(x_10, inplace=True)
+        x_10 = None
+        x_se_4 = x_11.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.silu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_1 = torch.sigmoid(x_se_7)
+        x_se_7 = None
+        x_12 = x_11 * sigmoid_1
+        x_11 = sigmoid_1 = None
+        x_13 = torch.conv2d(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        ) = None
+        x_14 = torch.nn.functional.batch_norm(
+            x_13,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_13 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_15 = x_14 + x_8
+        x_14 = x_8 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.silu(x_17, inplace=True)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_21 = torch.nn.functional.silu(x_20, inplace=True)
+        x_20 = None
+        x_se_8 = x_21.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.silu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_2 = torch.sigmoid(x_se_11)
+        x_se_11 = None
+        x_22 = x_21 * sigmoid_2
+        x_21 = sigmoid_2 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_27 = torch.nn.functional.silu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            144,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_30 = torch.nn.functional.silu(x_29, inplace=True)
+        x_29 = None
+        x_se_12 = x_30.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.silu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_3 = torch.sigmoid(x_se_15)
+        x_se_15 = None
+        x_31 = x_30 * sigmoid_3
+        x_30 = sigmoid_3 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_34 = x_33 + x_24
+        x_33 = x_24 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_37 = torch.nn.functional.silu(x_36, inplace=True)
+        x_36 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            144,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_40 = torch.nn.functional.silu(x_39, inplace=True)
+        x_39 = None
+        x_se_16 = x_40.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.silu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_4 = torch.sigmoid(x_se_19)
+        x_se_19 = None
+        x_41 = x_40 * sigmoid_4
+        x_40 = sigmoid_4 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_44 = x_43 + x_34
+        x_43 = x_34 = None
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_47 = torch.nn.functional.silu(x_46, inplace=True)
+        x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            144,
+        )
+        x_47 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_50 = torch.nn.functional.silu(x_49, inplace=True)
+        x_49 = None
+        x_se_20 = x_50.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.silu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_5 = torch.sigmoid(x_se_23)
+        x_se_23 = None
+        x_51 = x_50 * sigmoid_5
+        x_50 = sigmoid_5 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_54 = torch.conv2d(
+            x_53,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_55 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_54 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_56 = torch.nn.functional.silu(x_55, inplace=True)
+        x_55 = None
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            240,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_59 = torch.nn.functional.silu(x_58, inplace=True)
+        x_58 = None
+        x_se_24 = x_59.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.silu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_6 = torch.sigmoid(x_se_27)
+        x_se_27 = None
+        x_60 = x_59 * sigmoid_6
+        x_59 = sigmoid_6 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_63 = x_62 + x_53
+        x_62 = x_53 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_66 = torch.nn.functional.silu(x_65, inplace=True)
+        x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            240,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_69 = torch.nn.functional.silu(x_68, inplace=True)
+        x_68 = None
+        x_se_28 = x_69.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.silu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_7 = torch.sigmoid(x_se_31)
+        x_se_31 = None
+        x_70 = x_69 * sigmoid_7
+        x_69 = sigmoid_7 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_72 = torch.nn.functional.batch_norm(
+            x_71,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_73 = x_72 + x_63
+        x_72 = x_63 = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_76 = torch.nn.functional.silu(x_75, inplace=True)
+        x_75 = None
+        x_77 = torch.conv2d(
+            x_76,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_78 = torch.nn.functional.batch_norm(
+            x_77,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_77 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_79 = torch.nn.functional.silu(x_78, inplace=True)
+        x_78 = None
+        x_se_32 = x_79.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.silu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_8 = torch.sigmoid(x_se_35)
+        x_se_35 = None
+        x_80 = x_79 * sigmoid_8
+        x_79 = sigmoid_8 = None
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_82 = torch.nn.functional.batch_norm(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_85 = torch.nn.functional.silu(x_84, inplace=True)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_88 = torch.nn.functional.silu(x_87, inplace=True)
+        x_87 = None
+        x_se_36 = x_88.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.silu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_9 = torch.sigmoid(x_se_39)
+        x_se_39 = None
+        x_89 = x_88 * sigmoid_9
+        x_88 = sigmoid_9 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_92 = x_91 + x_82
+        x_91 = x_82 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_94 = torch.nn.functional.batch_norm(
+            x_93,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_95 = torch.nn.functional.silu(x_94, inplace=True)
+        x_94 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        x_95 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_98 = torch.nn.functional.silu(x_97, inplace=True)
+        x_97 = None
+        x_se_40 = x_98.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.silu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_10 = torch.sigmoid(x_se_43)
+        x_se_43 = None
+        x_99 = x_98 * sigmoid_10
+        x_98 = sigmoid_10 = None
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_99 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_102 = x_101 + x_92
+        x_101 = x_92 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_105 = torch.nn.functional.silu(x_104, inplace=True)
+        x_104 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.silu(x_107, inplace=True)
+        x_107 = None
+        x_se_44 = x_108.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.silu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_11 = torch.sigmoid(x_se_47)
+        x_se_47 = None
+        x_109 = x_108 * sigmoid_11
+        x_108 = sigmoid_11 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_109 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_112 = x_111 + x_102
+        x_111 = x_102 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_115 = torch.nn.functional.silu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_118 = torch.nn.functional.silu(x_117, inplace=True)
+        x_117 = None
+        x_se_48 = x_118.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.silu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_12 = torch.sigmoid(x_se_51)
+        x_se_51 = None
+        x_119 = x_118 * sigmoid_12
+        x_118 = sigmoid_12 = None
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_119 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_121 = torch.nn.functional.batch_norm(
+            x_120,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_123 = torch.nn.functional.batch_norm(
+            x_122,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_124 = torch.nn.functional.silu(x_123, inplace=True)
+        x_123 = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_127 = torch.nn.functional.silu(x_126, inplace=True)
+        x_126 = None
+        x_se_52 = x_127.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.silu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_13 = torch.sigmoid(x_se_55)
+        x_se_55 = None
+        x_128 = x_127 * sigmoid_13
+        x_127 = sigmoid_13 = None
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_128 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_130 = torch.nn.functional.batch_norm(
+            x_129,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_129 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_131 = x_130 + x_121
+        x_130 = x_121 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_133 = torch.nn.functional.batch_norm(
+            x_132,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_134 = torch.nn.functional.silu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_134 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_137 = torch.nn.functional.silu(x_136, inplace=True)
+        x_136 = None
+        x_se_56 = x_137.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.silu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_14 = torch.sigmoid(x_se_59)
+        x_se_59 = None
+        x_138 = x_137 * sigmoid_14
+        x_137 = sigmoid_14 = None
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_138 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_141 = x_140 + x_131
+        x_140 = x_131 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_143 = torch.nn.functional.batch_norm(
+            x_142,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_144 = torch.nn.functional.silu(x_143, inplace=True)
+        x_143 = None
+        x_145 = torch.conv2d(
+            x_144,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_146 = torch.nn.functional.batch_norm(
+            x_145,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_147 = torch.nn.functional.silu(x_146, inplace=True)
+        x_146 = None
+        x_se_60 = x_147.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.silu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_15 = torch.sigmoid(x_se_63)
+        x_se_63 = None
+        x_148 = x_147 * sigmoid_15
+        x_147 = sigmoid_15 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_151 = x_150 + x_141
+        x_150 = x_141 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_154 = torch.nn.functional.silu(x_153, inplace=True)
+        x_153 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_156 = torch.nn.functional.batch_norm(
+            x_155,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_157 = torch.nn.functional.silu(x_156, inplace=True)
+        x_156 = None
+        x_se_64 = x_157.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.silu(x_se_65, inplace=True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_16 = torch.sigmoid(x_se_67)
+        x_se_67 = None
+        x_158 = x_157 * sigmoid_16
+        x_157 = sigmoid_16 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_160 = torch.nn.functional.batch_norm(
+            x_159,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_159 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_161 = torch.conv2d(
+            x_160,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_162 = torch.nn.functional.batch_norm(
+            x_161,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_161 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_163 = torch.nn.functional.silu(x_162, inplace=True)
+        x_162 = None
+        x_164 = torch.conv2d(
+            x_163,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_163 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_165 = torch.nn.functional.batch_norm(
+            x_164,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_164 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_166 = torch.nn.functional.silu(x_165, inplace=True)
+        x_165 = None
+        x_se_68 = x_166.mean((2, 3), keepdim=True)
+        x_se_69 = torch.conv2d(
+            x_se_68,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_68 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_70 = torch.nn.functional.silu(x_se_69, inplace=True)
+        x_se_69 = None
+        x_se_71 = torch.conv2d(
+            x_se_70,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_70 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_17 = torch.sigmoid(x_se_71)
+        x_se_71 = None
+        x_167 = x_166 * sigmoid_17
+        x_166 = sigmoid_17 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_167 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_170 = x_169 + x_160
+        x_169 = x_160 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_173 = torch.nn.functional.silu(x_172, inplace=True)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_173 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_176 = torch.nn.functional.silu(x_175, inplace=True)
+        x_175 = None
+        x_se_72 = x_176.mean((2, 3), keepdim=True)
+        x_se_73 = torch.conv2d(
+            x_se_72,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_72 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_74 = torch.nn.functional.silu(x_se_73, inplace=True)
+        x_se_73 = None
+        x_se_75 = torch.conv2d(
+            x_se_74,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_74 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_18 = torch.sigmoid(x_se_75)
+        x_se_75 = None
+        x_177 = x_176 * sigmoid_18
+        x_176 = sigmoid_18 = None
+        x_178 = torch.conv2d(
+            x_177,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_177 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_179 = torch.nn.functional.batch_norm(
+            x_178,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_178 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_180 = x_179 + x_170
+        x_179 = x_170 = None
+        x_181 = torch.conv2d(
+            x_180,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_182 = torch.nn.functional.batch_norm(
+            x_181,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_181 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_183 = torch.nn.functional.silu(x_182, inplace=True)
+        x_182 = None
+        x_184 = torch.conv2d(
+            x_183,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_183 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_185 = torch.nn.functional.batch_norm(
+            x_184,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_184 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_186 = torch.nn.functional.silu(x_185, inplace=True)
+        x_185 = None
+        x_se_76 = x_186.mean((2, 3), keepdim=True)
+        x_se_77 = torch.conv2d(
+            x_se_76,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_76 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_78 = torch.nn.functional.silu(x_se_77, inplace=True)
+        x_se_77 = None
+        x_se_79 = torch.conv2d(
+            x_se_78,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_78 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_19 = torch.sigmoid(x_se_79)
+        x_se_79 = None
+        x_187 = x_186 * sigmoid_19
+        x_186 = sigmoid_19 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_187 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_189 = torch.nn.functional.batch_norm(
+            x_188,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_188 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_190 = x_189 + x_180
+        x_189 = x_180 = None
+        x_191 = torch.conv2d(
+            x_190,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_192 = torch.nn.functional.batch_norm(
+            x_191,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_191 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_193 = torch.nn.functional.silu(x_192, inplace=True)
+        x_192 = None
+        x_194 = torch.conv2d(
+            x_193,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_193 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_195 = torch.nn.functional.batch_norm(
+            x_194,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_194 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_196 = torch.nn.functional.silu(x_195, inplace=True)
+        x_195 = None
+        x_se_80 = x_196.mean((2, 3), keepdim=True)
+        x_se_81 = torch.conv2d(
+            x_se_80,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_80 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_82 = torch.nn.functional.silu(x_se_81, inplace=True)
+        x_se_81 = None
+        x_se_83 = torch.conv2d(
+            x_se_82,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_82 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_20 = torch.sigmoid(x_se_83)
+        x_se_83 = None
+        x_197 = x_196 * sigmoid_20
+        x_196 = sigmoid_20 = None
+        x_198 = torch.conv2d(
+            x_197,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_197 = l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_199 = torch.nn.functional.batch_norm(
+            x_198,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_198 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_200 = x_199 + x_190
+        x_199 = x_190 = None
+        x_201 = torch.conv2d(
+            x_200,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_200 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_202 = torch.nn.functional.batch_norm(
+            x_201,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_201 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_203 = torch.nn.functional.silu(x_202, inplace=True)
+        x_202 = None
+        x_204 = torch.conv2d(
+            x_203,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_203 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_205 = torch.nn.functional.batch_norm(
+            x_204,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_204 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_206 = torch.nn.functional.silu(x_205, inplace=True)
+        x_205 = None
+        x_se_84 = x_206.mean((2, 3), keepdim=True)
+        x_se_85 = torch.conv2d(
+            x_se_84,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_84 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_86 = torch.nn.functional.silu(x_se_85, inplace=True)
+        x_se_85 = None
+        x_se_87 = torch.conv2d(
+            x_se_86,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_86 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_21 = torch.sigmoid(x_se_87)
+        x_se_87 = None
+        x_207 = x_206 * sigmoid_21
+        x_206 = sigmoid_21 = None
+        x_208 = torch.conv2d(
+            x_207,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_207 = l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_209 = torch.nn.functional.batch_norm(
+            x_208,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_208 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_210 = torch.conv2d(
+            x_209,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_211 = torch.nn.functional.batch_norm(
+            x_210,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_210 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_212 = torch.nn.functional.silu(x_211, inplace=True)
+        x_211 = None
+        x_213 = torch.conv2d(
+            x_212,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_212 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_214 = torch.nn.functional.batch_norm(
+            x_213,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_213 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_215 = torch.nn.functional.silu(x_214, inplace=True)
+        x_214 = None
+        x_se_88 = x_215.mean((2, 3), keepdim=True)
+        x_se_89 = torch.conv2d(
+            x_se_88,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_88 = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_90 = torch.nn.functional.silu(x_se_89, inplace=True)
+        x_se_89 = None
+        x_se_91 = torch.conv2d(
+            x_se_90,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_90 = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_22 = torch.sigmoid(x_se_91)
+        x_se_91 = None
+        x_216 = x_215 * sigmoid_22
+        x_215 = sigmoid_22 = None
+        x_217 = torch.conv2d(
+            x_216,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_216 = l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_218 = torch.nn.functional.batch_norm(
+            x_217,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_217 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_219 = x_218 + x_209
+        x_218 = x_209 = None
+        x_220 = torch.conv2d(
+            x_219,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_219 = l_self_modules_conv_head_parameters_weight_ = None
+        x_221 = torch.nn.functional.batch_norm(
+            x_220,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_220 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_222 = torch.nn.functional.silu(x_221, inplace=True)
+        x_221 = None
+        x_223 = torch.nn.functional.adaptive_avg_pool2d(x_222, 1)
+        x_222 = None
+        x_224 = x_223.flatten(1, -1)
+        x_223 = None
+        x_225 = torch._C._nn.linear(
+            x_224,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_224 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_225,)
diff --git a/samples/timm/efficientnet_b1.ft_in1k/weight_meta.py b/samples/timm/efficientnet_b1.ft_in1k/weight_meta.py
new file mode 100644
index 000000000..b5af60614
--- /dev/null
+++ b/samples/timm/efficientnet_b1.ft_in1k/weight_meta.py
@@ -0,0 +1,4542 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.223
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.034
+    std = 0.464
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.522
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [32, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.259
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.366
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [16, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.067
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [4, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.592
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [16, 4, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.102
+    std = 0.354
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.375
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [96, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.146
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.039
+    std = 0.461
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [4, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.049
+    std = 0.668
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [96, 4, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.150
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.120
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.018
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.045
+    std = 0.563
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.117
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.021
+    std = 0.573
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.119
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.009
+    std = 0.582
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.117
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [10, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.440
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [10, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.015
+    std = 0.442
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [10, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.441
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.316
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.157
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.013
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.315
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.320
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.318
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.267
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.268
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.267
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.268
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [320, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1920, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [80, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1920, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [320, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnet_b2.ra_in1k/graph_hash.txt b/samples/timm/efficientnet_b2.ra_in1k/graph_hash.txt
new file mode 100644
index 000000000..e75340ccb
--- /dev/null
+++ b/samples/timm/efficientnet_b2.ra_in1k/graph_hash.txt
@@ -0,0 +1 @@
+f9837419adcd17d7cba23b8e992d7e137991cdf44e16d8377605abdc4e701a65
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b2.ra_in1k/graph_net.json b/samples/timm/efficientnet_b2.ra_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnet_b2.ra_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b2.ra_in1k/input_meta.py b/samples/timm/efficientnet_b2.ra_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b2.ra_in1k/input_tensor_constraints.py b/samples/timm/efficientnet_b2.ra_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b2.ra_in1k/model.py b/samples/timm/efficientnet_b2.ra_in1k/model.py
new file mode 100644
index 000000000..80d144152
--- /dev/null
+++ b/samples/timm/efficientnet_b2.ra_in1k/model.py
@@ -0,0 +1,4379 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.silu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.silu(x_4, inplace=True)
+        x_4 = None
+        x_se = x_5.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.silu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid = torch.sigmoid(x_se_3)
+        x_se_3 = None
+        x_6 = x_5 * sigmoid
+        x_5 = sigmoid = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_8 = torch.nn.functional.batch_norm(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            16,
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_11 = torch.nn.functional.silu(x_10, inplace=True)
+        x_10 = None
+        x_se_4 = x_11.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.silu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_1 = torch.sigmoid(x_se_7)
+        x_se_7 = None
+        x_12 = x_11 * sigmoid_1
+        x_11 = sigmoid_1 = None
+        x_13 = torch.conv2d(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        ) = None
+        x_14 = torch.nn.functional.batch_norm(
+            x_13,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_13 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_15 = x_14 + x_8
+        x_14 = x_8 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.silu(x_17, inplace=True)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_21 = torch.nn.functional.silu(x_20, inplace=True)
+        x_20 = None
+        x_se_8 = x_21.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.silu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_2 = torch.sigmoid(x_se_11)
+        x_se_11 = None
+        x_22 = x_21 * sigmoid_2
+        x_21 = sigmoid_2 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_27 = torch.nn.functional.silu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            144,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_30 = torch.nn.functional.silu(x_29, inplace=True)
+        x_29 = None
+        x_se_12 = x_30.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.silu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_3 = torch.sigmoid(x_se_15)
+        x_se_15 = None
+        x_31 = x_30 * sigmoid_3
+        x_30 = sigmoid_3 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_34 = x_33 + x_24
+        x_33 = x_24 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_37 = torch.nn.functional.silu(x_36, inplace=True)
+        x_36 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            144,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_40 = torch.nn.functional.silu(x_39, inplace=True)
+        x_39 = None
+        x_se_16 = x_40.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.silu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_4 = torch.sigmoid(x_se_19)
+        x_se_19 = None
+        x_41 = x_40 * sigmoid_4
+        x_40 = sigmoid_4 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_44 = x_43 + x_34
+        x_43 = x_34 = None
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_47 = torch.nn.functional.silu(x_46, inplace=True)
+        x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            144,
+        )
+        x_47 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_50 = torch.nn.functional.silu(x_49, inplace=True)
+        x_49 = None
+        x_se_20 = x_50.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.silu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_5 = torch.sigmoid(x_se_23)
+        x_se_23 = None
+        x_51 = x_50 * sigmoid_5
+        x_50 = sigmoid_5 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_54 = torch.conv2d(
+            x_53,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_55 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_54 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_56 = torch.nn.functional.silu(x_55, inplace=True)
+        x_55 = None
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            288,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_59 = torch.nn.functional.silu(x_58, inplace=True)
+        x_58 = None
+        x_se_24 = x_59.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.silu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_6 = torch.sigmoid(x_se_27)
+        x_se_27 = None
+        x_60 = x_59 * sigmoid_6
+        x_59 = sigmoid_6 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_63 = x_62 + x_53
+        x_62 = x_53 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_66 = torch.nn.functional.silu(x_65, inplace=True)
+        x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            288,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_69 = torch.nn.functional.silu(x_68, inplace=True)
+        x_68 = None
+        x_se_28 = x_69.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.silu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_7 = torch.sigmoid(x_se_31)
+        x_se_31 = None
+        x_70 = x_69 * sigmoid_7
+        x_69 = sigmoid_7 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_72 = torch.nn.functional.batch_norm(
+            x_71,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_73 = x_72 + x_63
+        x_72 = x_63 = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_76 = torch.nn.functional.silu(x_75, inplace=True)
+        x_75 = None
+        x_77 = torch.conv2d(
+            x_76,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            288,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_78 = torch.nn.functional.batch_norm(
+            x_77,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_77 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_79 = torch.nn.functional.silu(x_78, inplace=True)
+        x_78 = None
+        x_se_32 = x_79.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.silu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_8 = torch.sigmoid(x_se_35)
+        x_se_35 = None
+        x_80 = x_79 * sigmoid_8
+        x_79 = sigmoid_8 = None
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_82 = torch.nn.functional.batch_norm(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_85 = torch.nn.functional.silu(x_84, inplace=True)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            528,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_88 = torch.nn.functional.silu(x_87, inplace=True)
+        x_87 = None
+        x_se_36 = x_88.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.silu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_9 = torch.sigmoid(x_se_39)
+        x_se_39 = None
+        x_89 = x_88 * sigmoid_9
+        x_88 = sigmoid_9 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_92 = x_91 + x_82
+        x_91 = x_82 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_94 = torch.nn.functional.batch_norm(
+            x_93,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_95 = torch.nn.functional.silu(x_94, inplace=True)
+        x_94 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            528,
+        )
+        x_95 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_98 = torch.nn.functional.silu(x_97, inplace=True)
+        x_97 = None
+        x_se_40 = x_98.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.silu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_10 = torch.sigmoid(x_se_43)
+        x_se_43 = None
+        x_99 = x_98 * sigmoid_10
+        x_98 = sigmoid_10 = None
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_99 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_102 = x_101 + x_92
+        x_101 = x_92 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_105 = torch.nn.functional.silu(x_104, inplace=True)
+        x_104 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            528,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.silu(x_107, inplace=True)
+        x_107 = None
+        x_se_44 = x_108.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.silu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_11 = torch.sigmoid(x_se_47)
+        x_se_47 = None
+        x_109 = x_108 * sigmoid_11
+        x_108 = sigmoid_11 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_109 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_112 = x_111 + x_102
+        x_111 = x_102 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_115 = torch.nn.functional.silu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            528,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_118 = torch.nn.functional.silu(x_117, inplace=True)
+        x_117 = None
+        x_se_48 = x_118.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.silu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_12 = torch.sigmoid(x_se_51)
+        x_se_51 = None
+        x_119 = x_118 * sigmoid_12
+        x_118 = sigmoid_12 = None
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_119 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_121 = torch.nn.functional.batch_norm(
+            x_120,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_123 = torch.nn.functional.batch_norm(
+            x_122,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_124 = torch.nn.functional.silu(x_123, inplace=True)
+        x_123 = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            720,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_127 = torch.nn.functional.silu(x_126, inplace=True)
+        x_126 = None
+        x_se_52 = x_127.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.silu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_13 = torch.sigmoid(x_se_55)
+        x_se_55 = None
+        x_128 = x_127 * sigmoid_13
+        x_127 = sigmoid_13 = None
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_128 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_130 = torch.nn.functional.batch_norm(
+            x_129,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_129 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_131 = x_130 + x_121
+        x_130 = x_121 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_133 = torch.nn.functional.batch_norm(
+            x_132,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_134 = torch.nn.functional.silu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            720,
+        )
+        x_134 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_137 = torch.nn.functional.silu(x_136, inplace=True)
+        x_136 = None
+        x_se_56 = x_137.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.silu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_14 = torch.sigmoid(x_se_59)
+        x_se_59 = None
+        x_138 = x_137 * sigmoid_14
+        x_137 = sigmoid_14 = None
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_138 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_141 = x_140 + x_131
+        x_140 = x_131 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_143 = torch.nn.functional.batch_norm(
+            x_142,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_144 = torch.nn.functional.silu(x_143, inplace=True)
+        x_143 = None
+        x_145 = torch.conv2d(
+            x_144,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            720,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_146 = torch.nn.functional.batch_norm(
+            x_145,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_147 = torch.nn.functional.silu(x_146, inplace=True)
+        x_146 = None
+        x_se_60 = x_147.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.silu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_15 = torch.sigmoid(x_se_63)
+        x_se_63 = None
+        x_148 = x_147 * sigmoid_15
+        x_147 = sigmoid_15 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_151 = x_150 + x_141
+        x_150 = x_141 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_154 = torch.nn.functional.silu(x_153, inplace=True)
+        x_153 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            720,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_156 = torch.nn.functional.batch_norm(
+            x_155,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_157 = torch.nn.functional.silu(x_156, inplace=True)
+        x_156 = None
+        x_se_64 = x_157.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.silu(x_se_65, inplace=True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_16 = torch.sigmoid(x_se_67)
+        x_se_67 = None
+        x_158 = x_157 * sigmoid_16
+        x_157 = sigmoid_16 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_160 = torch.nn.functional.batch_norm(
+            x_159,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_159 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_161 = torch.conv2d(
+            x_160,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_162 = torch.nn.functional.batch_norm(
+            x_161,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_161 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_163 = torch.nn.functional.silu(x_162, inplace=True)
+        x_162 = None
+        x_164 = torch.conv2d(
+            x_163,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1248,
+        )
+        x_163 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_165 = torch.nn.functional.batch_norm(
+            x_164,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_164 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_166 = torch.nn.functional.silu(x_165, inplace=True)
+        x_165 = None
+        x_se_68 = x_166.mean((2, 3), keepdim=True)
+        x_se_69 = torch.conv2d(
+            x_se_68,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_68 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_70 = torch.nn.functional.silu(x_se_69, inplace=True)
+        x_se_69 = None
+        x_se_71 = torch.conv2d(
+            x_se_70,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_70 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_17 = torch.sigmoid(x_se_71)
+        x_se_71 = None
+        x_167 = x_166 * sigmoid_17
+        x_166 = sigmoid_17 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_167 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_170 = x_169 + x_160
+        x_169 = x_160 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_173 = torch.nn.functional.silu(x_172, inplace=True)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1248,
+        )
+        x_173 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_176 = torch.nn.functional.silu(x_175, inplace=True)
+        x_175 = None
+        x_se_72 = x_176.mean((2, 3), keepdim=True)
+        x_se_73 = torch.conv2d(
+            x_se_72,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_72 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_74 = torch.nn.functional.silu(x_se_73, inplace=True)
+        x_se_73 = None
+        x_se_75 = torch.conv2d(
+            x_se_74,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_74 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_18 = torch.sigmoid(x_se_75)
+        x_se_75 = None
+        x_177 = x_176 * sigmoid_18
+        x_176 = sigmoid_18 = None
+        x_178 = torch.conv2d(
+            x_177,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_177 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_179 = torch.nn.functional.batch_norm(
+            x_178,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_178 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_180 = x_179 + x_170
+        x_179 = x_170 = None
+        x_181 = torch.conv2d(
+            x_180,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_182 = torch.nn.functional.batch_norm(
+            x_181,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_181 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_183 = torch.nn.functional.silu(x_182, inplace=True)
+        x_182 = None
+        x_184 = torch.conv2d(
+            x_183,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1248,
+        )
+        x_183 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_185 = torch.nn.functional.batch_norm(
+            x_184,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_184 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_186 = torch.nn.functional.silu(x_185, inplace=True)
+        x_185 = None
+        x_se_76 = x_186.mean((2, 3), keepdim=True)
+        x_se_77 = torch.conv2d(
+            x_se_76,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_76 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_78 = torch.nn.functional.silu(x_se_77, inplace=True)
+        x_se_77 = None
+        x_se_79 = torch.conv2d(
+            x_se_78,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_78 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_19 = torch.sigmoid(x_se_79)
+        x_se_79 = None
+        x_187 = x_186 * sigmoid_19
+        x_186 = sigmoid_19 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_187 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_189 = torch.nn.functional.batch_norm(
+            x_188,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_188 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_190 = x_189 + x_180
+        x_189 = x_180 = None
+        x_191 = torch.conv2d(
+            x_190,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_192 = torch.nn.functional.batch_norm(
+            x_191,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_191 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_193 = torch.nn.functional.silu(x_192, inplace=True)
+        x_192 = None
+        x_194 = torch.conv2d(
+            x_193,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1248,
+        )
+        x_193 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_195 = torch.nn.functional.batch_norm(
+            x_194,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_194 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_196 = torch.nn.functional.silu(x_195, inplace=True)
+        x_195 = None
+        x_se_80 = x_196.mean((2, 3), keepdim=True)
+        x_se_81 = torch.conv2d(
+            x_se_80,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_80 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_82 = torch.nn.functional.silu(x_se_81, inplace=True)
+        x_se_81 = None
+        x_se_83 = torch.conv2d(
+            x_se_82,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_82 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_20 = torch.sigmoid(x_se_83)
+        x_se_83 = None
+        x_197 = x_196 * sigmoid_20
+        x_196 = sigmoid_20 = None
+        x_198 = torch.conv2d(
+            x_197,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_197 = l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_199 = torch.nn.functional.batch_norm(
+            x_198,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_198 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_200 = x_199 + x_190
+        x_199 = x_190 = None
+        x_201 = torch.conv2d(
+            x_200,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_200 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_202 = torch.nn.functional.batch_norm(
+            x_201,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_201 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_203 = torch.nn.functional.silu(x_202, inplace=True)
+        x_202 = None
+        x_204 = torch.conv2d(
+            x_203,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_203 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_205 = torch.nn.functional.batch_norm(
+            x_204,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_204 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_206 = torch.nn.functional.silu(x_205, inplace=True)
+        x_205 = None
+        x_se_84 = x_206.mean((2, 3), keepdim=True)
+        x_se_85 = torch.conv2d(
+            x_se_84,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_84 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_86 = torch.nn.functional.silu(x_se_85, inplace=True)
+        x_se_85 = None
+        x_se_87 = torch.conv2d(
+            x_se_86,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_86 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_21 = torch.sigmoid(x_se_87)
+        x_se_87 = None
+        x_207 = x_206 * sigmoid_21
+        x_206 = sigmoid_21 = None
+        x_208 = torch.conv2d(
+            x_207,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_207 = l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_209 = torch.nn.functional.batch_norm(
+            x_208,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_208 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_210 = torch.conv2d(
+            x_209,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_211 = torch.nn.functional.batch_norm(
+            x_210,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_210 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_212 = torch.nn.functional.silu(x_211, inplace=True)
+        x_211 = None
+        x_213 = torch.conv2d(
+            x_212,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2112,
+        )
+        x_212 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_214 = torch.nn.functional.batch_norm(
+            x_213,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_213 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_215 = torch.nn.functional.silu(x_214, inplace=True)
+        x_214 = None
+        x_se_88 = x_215.mean((2, 3), keepdim=True)
+        x_se_89 = torch.conv2d(
+            x_se_88,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_88 = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_90 = torch.nn.functional.silu(x_se_89, inplace=True)
+        x_se_89 = None
+        x_se_91 = torch.conv2d(
+            x_se_90,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_90 = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_22 = torch.sigmoid(x_se_91)
+        x_se_91 = None
+        x_216 = x_215 * sigmoid_22
+        x_215 = sigmoid_22 = None
+        x_217 = torch.conv2d(
+            x_216,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_216 = l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_218 = torch.nn.functional.batch_norm(
+            x_217,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_217 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_219 = x_218 + x_209
+        x_218 = x_209 = None
+        x_220 = torch.conv2d(
+            x_219,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_219 = l_self_modules_conv_head_parameters_weight_ = None
+        x_221 = torch.nn.functional.batch_norm(
+            x_220,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_220 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_222 = torch.nn.functional.silu(x_221, inplace=True)
+        x_221 = None
+        x_223 = torch.nn.functional.adaptive_avg_pool2d(x_222, 1)
+        x_222 = None
+        x_224 = x_223.flatten(1, -1)
+        x_223 = None
+        x_225 = torch._C._nn.linear(
+            x_224,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_224 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_225,)
diff --git a/samples/timm/efficientnet_b2.ra_in1k/weight_meta.py b/samples/timm/efficientnet_b2.ra_in1k/weight_meta.py
new file mode 100644
index 000000000..c7e28fda4
--- /dev/null
+++ b/samples/timm/efficientnet_b2.ra_in1k/weight_meta.py
@@ -0,0 +1,4542 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.227
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.024
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.054
+    std = 0.491
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [32, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.013
+    std = 0.265
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.012
+    std = 0.346
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [16, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.029
+    std = 0.441
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [4, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.091
+    std = 0.710
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [16, 4, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.048
+    std = 0.317
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.019
+    std = 0.366
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [96, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.150
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.014
+    std = 0.479
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [4, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.023
+    std = 0.699
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [96, 4, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.290
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.119
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.458
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.018
+    std = 0.560
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.293
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.117
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.594
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.117
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.120
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.009
+    std = 0.604
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.121
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [288, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.410
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [288, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.407
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [288, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.411
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [88, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.150
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [528, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [528, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [22, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.301
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [22]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [528, 22, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.061
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [88, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.151
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [528, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [528, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [22, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.298
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [22]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [528, 22, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [88, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.151
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [528, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [528, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [22, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.303
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [22]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [528, 22, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [88, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.151
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [528, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [528, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [22, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.302
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [22]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [528, 22, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [120, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [720, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [720, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [30, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.255
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [30]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [720, 30, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [120, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [720, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [720, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [30, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.257
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [30]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [720, 30, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [120, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [720, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [720, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [30, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.258
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [30]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [720, 30, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [120, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [720, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [720, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [30, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.259
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [30]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [720, 30, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.195
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.195
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.014
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [352, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [2112, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [2112, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [88, 2112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.151
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [2112, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [2112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [352, 2112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1408, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnet_b3.ra2_in1k/graph_hash.txt b/samples/timm/efficientnet_b3.ra2_in1k/graph_hash.txt
new file mode 100644
index 000000000..5620e3f37
--- /dev/null
+++ b/samples/timm/efficientnet_b3.ra2_in1k/graph_hash.txt
@@ -0,0 +1 @@
+42e6fde9e4d153445b86e3c4c3deb265fa2f736076b2bf7489a3edb1387c1cbb
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b3.ra2_in1k/graph_net.json b/samples/timm/efficientnet_b3.ra2_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnet_b3.ra2_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b3.ra2_in1k/input_meta.py b/samples/timm/efficientnet_b3.ra2_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b3.ra2_in1k/input_tensor_constraints.py b/samples/timm/efficientnet_b3.ra2_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b3.ra2_in1k/model.py b/samples/timm/efficientnet_b3.ra2_in1k/model.py
new file mode 100644
index 000000000..9cff97cf6
--- /dev/null
+++ b/samples/timm/efficientnet_b3.ra2_in1k/model.py
@@ -0,0 +1,4949 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.silu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.silu(x_4, inplace=True)
+        x_4 = None
+        x_se = x_5.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.silu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid = torch.sigmoid(x_se_3)
+        x_se_3 = None
+        x_6 = x_5 * sigmoid
+        x_5 = sigmoid = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_8 = torch.nn.functional.batch_norm(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            24,
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_11 = torch.nn.functional.silu(x_10, inplace=True)
+        x_10 = None
+        x_se_4 = x_11.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.silu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_1 = torch.sigmoid(x_se_7)
+        x_se_7 = None
+        x_12 = x_11 * sigmoid_1
+        x_11 = sigmoid_1 = None
+        x_13 = torch.conv2d(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        ) = None
+        x_14 = torch.nn.functional.batch_norm(
+            x_13,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_13 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_15 = x_14 + x_8
+        x_14 = x_8 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.silu(x_17, inplace=True)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            144,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_21 = torch.nn.functional.silu(x_20, inplace=True)
+        x_20 = None
+        x_se_8 = x_21.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.silu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_2 = torch.sigmoid(x_se_11)
+        x_se_11 = None
+        x_22 = x_21 * sigmoid_2
+        x_21 = sigmoid_2 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_27 = torch.nn.functional.silu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_30 = torch.nn.functional.silu(x_29, inplace=True)
+        x_29 = None
+        x_se_12 = x_30.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.silu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_3 = torch.sigmoid(x_se_15)
+        x_se_15 = None
+        x_31 = x_30 * sigmoid_3
+        x_30 = sigmoid_3 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_34 = x_33 + x_24
+        x_33 = x_24 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_37 = torch.nn.functional.silu(x_36, inplace=True)
+        x_36 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_40 = torch.nn.functional.silu(x_39, inplace=True)
+        x_39 = None
+        x_se_16 = x_40.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.silu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_4 = torch.sigmoid(x_se_19)
+        x_se_19 = None
+        x_41 = x_40 * sigmoid_4
+        x_40 = sigmoid_4 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_44 = x_43 + x_34
+        x_43 = x_34 = None
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_47 = torch.nn.functional.silu(x_46, inplace=True)
+        x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        x_47 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_50 = torch.nn.functional.silu(x_49, inplace=True)
+        x_49 = None
+        x_se_20 = x_50.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.silu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_5 = torch.sigmoid(x_se_23)
+        x_se_23 = None
+        x_51 = x_50 * sigmoid_5
+        x_50 = sigmoid_5 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_54 = torch.conv2d(
+            x_53,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_55 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_54 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_56 = torch.nn.functional.silu(x_55, inplace=True)
+        x_55 = None
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            288,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_59 = torch.nn.functional.silu(x_58, inplace=True)
+        x_58 = None
+        x_se_24 = x_59.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.silu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_6 = torch.sigmoid(x_se_27)
+        x_se_27 = None
+        x_60 = x_59 * sigmoid_6
+        x_59 = sigmoid_6 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_63 = x_62 + x_53
+        x_62 = x_53 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_66 = torch.nn.functional.silu(x_65, inplace=True)
+        x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            288,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_69 = torch.nn.functional.silu(x_68, inplace=True)
+        x_68 = None
+        x_se_28 = x_69.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.silu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_7 = torch.sigmoid(x_se_31)
+        x_se_31 = None
+        x_70 = x_69 * sigmoid_7
+        x_69 = sigmoid_7 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_72 = torch.nn.functional.batch_norm(
+            x_71,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_73 = x_72 + x_63
+        x_72 = x_63 = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_76 = torch.nn.functional.silu(x_75, inplace=True)
+        x_75 = None
+        x_77 = torch.conv2d(
+            x_76,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            288,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_78 = torch.nn.functional.batch_norm(
+            x_77,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_77 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_79 = torch.nn.functional.silu(x_78, inplace=True)
+        x_78 = None
+        x_se_32 = x_79.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.silu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_8 = torch.sigmoid(x_se_35)
+        x_se_35 = None
+        x_80 = x_79 * sigmoid_8
+        x_79 = sigmoid_8 = None
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_82 = torch.nn.functional.batch_norm(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_85 = torch.nn.functional.silu(x_84, inplace=True)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            576,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_88 = torch.nn.functional.silu(x_87, inplace=True)
+        x_87 = None
+        x_se_36 = x_88.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.silu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_9 = torch.sigmoid(x_se_39)
+        x_se_39 = None
+        x_89 = x_88 * sigmoid_9
+        x_88 = sigmoid_9 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_92 = x_91 + x_82
+        x_91 = x_82 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_94 = torch.nn.functional.batch_norm(
+            x_93,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_95 = torch.nn.functional.silu(x_94, inplace=True)
+        x_94 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            576,
+        )
+        x_95 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_98 = torch.nn.functional.silu(x_97, inplace=True)
+        x_97 = None
+        x_se_40 = x_98.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.silu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_10 = torch.sigmoid(x_se_43)
+        x_se_43 = None
+        x_99 = x_98 * sigmoid_10
+        x_98 = sigmoid_10 = None
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_99 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_102 = x_101 + x_92
+        x_101 = x_92 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_105 = torch.nn.functional.silu(x_104, inplace=True)
+        x_104 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            576,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.silu(x_107, inplace=True)
+        x_107 = None
+        x_se_44 = x_108.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.silu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_11 = torch.sigmoid(x_se_47)
+        x_se_47 = None
+        x_109 = x_108 * sigmoid_11
+        x_108 = sigmoid_11 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_109 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_112 = x_111 + x_102
+        x_111 = x_102 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_115 = torch.nn.functional.silu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            576,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_118 = torch.nn.functional.silu(x_117, inplace=True)
+        x_117 = None
+        x_se_48 = x_118.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.silu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_12 = torch.sigmoid(x_se_51)
+        x_se_51 = None
+        x_119 = x_118 * sigmoid_12
+        x_118 = sigmoid_12 = None
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_119 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_121 = torch.nn.functional.batch_norm(
+            x_120,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_122 = x_121 + x_112
+        x_121 = x_112 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_125 = torch.nn.functional.silu(x_124, inplace=True)
+        x_124 = None
+        x_126 = torch.conv2d(
+            x_125,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            576,
+        )
+        x_125 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_127 = torch.nn.functional.batch_norm(
+            x_126,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_128 = torch.nn.functional.silu(x_127, inplace=True)
+        x_127 = None
+        x_se_52 = x_128.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.silu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_13 = torch.sigmoid(x_se_55)
+        x_se_55 = None
+        x_129 = x_128 * sigmoid_13
+        x_128 = sigmoid_13 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_129 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_133 = torch.nn.functional.batch_norm(
+            x_132,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_134 = torch.nn.functional.silu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            816,
+        )
+        x_134 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_137 = torch.nn.functional.silu(x_136, inplace=True)
+        x_136 = None
+        x_se_56 = x_137.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.silu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_14 = torch.sigmoid(x_se_59)
+        x_se_59 = None
+        x_138 = x_137 * sigmoid_14
+        x_137 = sigmoid_14 = None
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_138 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_141 = x_140 + x_131
+        x_140 = x_131 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_143 = torch.nn.functional.batch_norm(
+            x_142,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_144 = torch.nn.functional.silu(x_143, inplace=True)
+        x_143 = None
+        x_145 = torch.conv2d(
+            x_144,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            816,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_146 = torch.nn.functional.batch_norm(
+            x_145,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_147 = torch.nn.functional.silu(x_146, inplace=True)
+        x_146 = None
+        x_se_60 = x_147.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.silu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_15 = torch.sigmoid(x_se_63)
+        x_se_63 = None
+        x_148 = x_147 * sigmoid_15
+        x_147 = sigmoid_15 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_151 = x_150 + x_141
+        x_150 = x_141 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_154 = torch.nn.functional.silu(x_153, inplace=True)
+        x_153 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            816,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_156 = torch.nn.functional.batch_norm(
+            x_155,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_157 = torch.nn.functional.silu(x_156, inplace=True)
+        x_156 = None
+        x_se_64 = x_157.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.silu(x_se_65, inplace=True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_16 = torch.sigmoid(x_se_67)
+        x_se_67 = None
+        x_158 = x_157 * sigmoid_16
+        x_157 = sigmoid_16 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_160 = torch.nn.functional.batch_norm(
+            x_159,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_159 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_161 = x_160 + x_151
+        x_160 = x_151 = None
+        x_162 = torch.conv2d(
+            x_161,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_163 = torch.nn.functional.batch_norm(
+            x_162,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_164 = torch.nn.functional.silu(x_163, inplace=True)
+        x_163 = None
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            816,
+        )
+        x_164 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_166 = torch.nn.functional.batch_norm(
+            x_165,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_165 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_167 = torch.nn.functional.silu(x_166, inplace=True)
+        x_166 = None
+        x_se_68 = x_167.mean((2, 3), keepdim=True)
+        x_se_69 = torch.conv2d(
+            x_se_68,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_68 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_70 = torch.nn.functional.silu(x_se_69, inplace=True)
+        x_se_69 = None
+        x_se_71 = torch.conv2d(
+            x_se_70,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_70 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_17 = torch.sigmoid(x_se_71)
+        x_se_71 = None
+        x_168 = x_167 * sigmoid_17
+        x_167 = sigmoid_17 = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_168 = l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_170 = torch.nn.functional.batch_norm(
+            x_169,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_169 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_171 = x_170 + x_161
+        x_170 = x_161 = None
+        x_172 = torch.conv2d(
+            x_171,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_171 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_173 = torch.nn.functional.batch_norm(
+            x_172,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_172 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_174 = torch.nn.functional.silu(x_173, inplace=True)
+        x_173 = None
+        x_175 = torch.conv2d(
+            x_174,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            816,
+        )
+        x_174 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_176 = torch.nn.functional.batch_norm(
+            x_175,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_175 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_177 = torch.nn.functional.silu(x_176, inplace=True)
+        x_176 = None
+        x_se_72 = x_177.mean((2, 3), keepdim=True)
+        x_se_73 = torch.conv2d(
+            x_se_72,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_72 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_74 = torch.nn.functional.silu(x_se_73, inplace=True)
+        x_se_73 = None
+        x_se_75 = torch.conv2d(
+            x_se_74,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_74 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_18 = torch.sigmoid(x_se_75)
+        x_se_75 = None
+        x_178 = x_177 * sigmoid_18
+        x_177 = sigmoid_18 = None
+        x_179 = torch.conv2d(
+            x_178,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_178 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_180 = torch.nn.functional.batch_norm(
+            x_179,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_179 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_181 = torch.conv2d(
+            x_180,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_182 = torch.nn.functional.batch_norm(
+            x_181,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_181 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_183 = torch.nn.functional.silu(x_182, inplace=True)
+        x_182 = None
+        x_184 = torch.conv2d(
+            x_183,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1392,
+        )
+        x_183 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_185 = torch.nn.functional.batch_norm(
+            x_184,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_184 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_186 = torch.nn.functional.silu(x_185, inplace=True)
+        x_185 = None
+        x_se_76 = x_186.mean((2, 3), keepdim=True)
+        x_se_77 = torch.conv2d(
+            x_se_76,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_76 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_78 = torch.nn.functional.silu(x_se_77, inplace=True)
+        x_se_77 = None
+        x_se_79 = torch.conv2d(
+            x_se_78,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_78 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_19 = torch.sigmoid(x_se_79)
+        x_se_79 = None
+        x_187 = x_186 * sigmoid_19
+        x_186 = sigmoid_19 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_187 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_189 = torch.nn.functional.batch_norm(
+            x_188,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_188 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_190 = x_189 + x_180
+        x_189 = x_180 = None
+        x_191 = torch.conv2d(
+            x_190,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_192 = torch.nn.functional.batch_norm(
+            x_191,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_191 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_193 = torch.nn.functional.silu(x_192, inplace=True)
+        x_192 = None
+        x_194 = torch.conv2d(
+            x_193,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1392,
+        )
+        x_193 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_195 = torch.nn.functional.batch_norm(
+            x_194,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_194 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_196 = torch.nn.functional.silu(x_195, inplace=True)
+        x_195 = None
+        x_se_80 = x_196.mean((2, 3), keepdim=True)
+        x_se_81 = torch.conv2d(
+            x_se_80,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_80 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_82 = torch.nn.functional.silu(x_se_81, inplace=True)
+        x_se_81 = None
+        x_se_83 = torch.conv2d(
+            x_se_82,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_82 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_20 = torch.sigmoid(x_se_83)
+        x_se_83 = None
+        x_197 = x_196 * sigmoid_20
+        x_196 = sigmoid_20 = None
+        x_198 = torch.conv2d(
+            x_197,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_197 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_199 = torch.nn.functional.batch_norm(
+            x_198,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_198 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_200 = x_199 + x_190
+        x_199 = x_190 = None
+        x_201 = torch.conv2d(
+            x_200,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_202 = torch.nn.functional.batch_norm(
+            x_201,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_201 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_203 = torch.nn.functional.silu(x_202, inplace=True)
+        x_202 = None
+        x_204 = torch.conv2d(
+            x_203,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1392,
+        )
+        x_203 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_205 = torch.nn.functional.batch_norm(
+            x_204,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_204 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_206 = torch.nn.functional.silu(x_205, inplace=True)
+        x_205 = None
+        x_se_84 = x_206.mean((2, 3), keepdim=True)
+        x_se_85 = torch.conv2d(
+            x_se_84,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_84 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_86 = torch.nn.functional.silu(x_se_85, inplace=True)
+        x_se_85 = None
+        x_se_87 = torch.conv2d(
+            x_se_86,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_86 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_21 = torch.sigmoid(x_se_87)
+        x_se_87 = None
+        x_207 = x_206 * sigmoid_21
+        x_206 = sigmoid_21 = None
+        x_208 = torch.conv2d(
+            x_207,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_207 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_209 = torch.nn.functional.batch_norm(
+            x_208,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_208 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_210 = x_209 + x_200
+        x_209 = x_200 = None
+        x_211 = torch.conv2d(
+            x_210,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_212 = torch.nn.functional.batch_norm(
+            x_211,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_211 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_213 = torch.nn.functional.silu(x_212, inplace=True)
+        x_212 = None
+        x_214 = torch.conv2d(
+            x_213,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1392,
+        )
+        x_213 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_215 = torch.nn.functional.batch_norm(
+            x_214,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_214 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_216 = torch.nn.functional.silu(x_215, inplace=True)
+        x_215 = None
+        x_se_88 = x_216.mean((2, 3), keepdim=True)
+        x_se_89 = torch.conv2d(
+            x_se_88,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_88 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_90 = torch.nn.functional.silu(x_se_89, inplace=True)
+        x_se_89 = None
+        x_se_91 = torch.conv2d(
+            x_se_90,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_90 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_22 = torch.sigmoid(x_se_91)
+        x_se_91 = None
+        x_217 = x_216 * sigmoid_22
+        x_216 = sigmoid_22 = None
+        x_218 = torch.conv2d(
+            x_217,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_217 = l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_219 = torch.nn.functional.batch_norm(
+            x_218,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_218 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_220 = x_219 + x_210
+        x_219 = x_210 = None
+        x_221 = torch.conv2d(
+            x_220,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_222 = torch.nn.functional.batch_norm(
+            x_221,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_221 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_223 = torch.nn.functional.silu(x_222, inplace=True)
+        x_222 = None
+        x_224 = torch.conv2d(
+            x_223,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1392,
+        )
+        x_223 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_225 = torch.nn.functional.batch_norm(
+            x_224,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_224 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_226 = torch.nn.functional.silu(x_225, inplace=True)
+        x_225 = None
+        x_se_92 = x_226.mean((2, 3), keepdim=True)
+        x_se_93 = torch.conv2d(
+            x_se_92,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_92 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_94 = torch.nn.functional.silu(x_se_93, inplace=True)
+        x_se_93 = None
+        x_se_95 = torch.conv2d(
+            x_se_94,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_94 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_23 = torch.sigmoid(x_se_95)
+        x_se_95 = None
+        x_227 = x_226 * sigmoid_23
+        x_226 = sigmoid_23 = None
+        x_228 = torch.conv2d(
+            x_227,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_227 = l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_229 = torch.nn.functional.batch_norm(
+            x_228,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_228 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_230 = x_229 + x_220
+        x_229 = x_220 = None
+        x_231 = torch.conv2d(
+            x_230,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_230 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_232 = torch.nn.functional.batch_norm(
+            x_231,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_231 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_233 = torch.nn.functional.silu(x_232, inplace=True)
+        x_232 = None
+        x_234 = torch.conv2d(
+            x_233,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1392,
+        )
+        x_233 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_235 = torch.nn.functional.batch_norm(
+            x_234,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_234 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_236 = torch.nn.functional.silu(x_235, inplace=True)
+        x_235 = None
+        x_se_96 = x_236.mean((2, 3), keepdim=True)
+        x_se_97 = torch.conv2d(
+            x_se_96,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_96 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_98 = torch.nn.functional.silu(x_se_97, inplace=True)
+        x_se_97 = None
+        x_se_99 = torch.conv2d(
+            x_se_98,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_98 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_24 = torch.sigmoid(x_se_99)
+        x_se_99 = None
+        x_237 = x_236 * sigmoid_24
+        x_236 = sigmoid_24 = None
+        x_238 = torch.conv2d(
+            x_237,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_237 = l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_239 = torch.nn.functional.batch_norm(
+            x_238,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_238 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_240 = torch.conv2d(
+            x_239,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_241 = torch.nn.functional.batch_norm(
+            x_240,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_240 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_242 = torch.nn.functional.silu(x_241, inplace=True)
+        x_241 = None
+        x_243 = torch.conv2d(
+            x_242,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2304,
+        )
+        x_242 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_244 = torch.nn.functional.batch_norm(
+            x_243,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_243 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_245 = torch.nn.functional.silu(x_244, inplace=True)
+        x_244 = None
+        x_se_100 = x_245.mean((2, 3), keepdim=True)
+        x_se_101 = torch.conv2d(
+            x_se_100,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_100 = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_102 = torch.nn.functional.silu(x_se_101, inplace=True)
+        x_se_101 = None
+        x_se_103 = torch.conv2d(
+            x_se_102,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_102 = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_25 = torch.sigmoid(x_se_103)
+        x_se_103 = None
+        x_246 = x_245 * sigmoid_25
+        x_245 = sigmoid_25 = None
+        x_247 = torch.conv2d(
+            x_246,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_246 = l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_248 = torch.nn.functional.batch_norm(
+            x_247,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_247 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_249 = x_248 + x_239
+        x_248 = x_239 = None
+        x_250 = torch.conv2d(
+            x_249,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_249 = l_self_modules_conv_head_parameters_weight_ = None
+        x_251 = torch.nn.functional.batch_norm(
+            x_250,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_250 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_252 = torch.nn.functional.silu(x_251, inplace=True)
+        x_251 = None
+        x_253 = torch.nn.functional.adaptive_avg_pool2d(x_252, 1)
+        x_252 = None
+        x_254 = x_253.flatten(1, -1)
+        x_253 = None
+        x_255 = torch._C._nn.linear(
+            x_254,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_254 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_255,)
diff --git a/samples/timm/efficientnet_b3.ra2_in1k/weight_meta.py b/samples/timm/efficientnet_b3.ra2_in1k/weight_meta.py
new file mode 100644
index 000000000..14b0c8346
--- /dev/null
+++ b/samples/timm/efficientnet_b3.ra2_in1k/weight_meta.py
@@ -0,0 +1,5130 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [40, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [40, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.057
+    std = 0.462
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [10, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [40, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.228
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [24, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.019
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.027
+    std = 0.590
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [24, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.014
+    std = 0.323
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.119
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.480
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.026
+    std = 0.581
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.012
+    std = 0.119
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.247
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.103
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.463
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.012
+    std = 0.506
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [192, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.252
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.459
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.513
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [192, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.246
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.018
+    std = 0.512
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [192, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.099
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.206
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [288, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.408
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.202
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [288, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.400
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [288, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.411
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [576, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [576, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.481
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [576, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [576, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [576, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.292
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [576, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [576, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [576, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.290
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [576, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [576, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [576, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [576, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [576, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [576, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.290
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [576, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [136, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.121
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [816, 136, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [816, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [34, 816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.241
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [34]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [816, 34, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [136, 816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.121
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [816, 136, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [816, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [34, 816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.244
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [34]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [816, 34, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [136, 816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.122
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [816, 136, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [816, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [34, 816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.242
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [34]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [816, 34, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [136, 816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.121
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [816, 136, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [816, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [34, 816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.242
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [34]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [816, 34, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [136, 816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.121
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_"
+    shape = [136]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [816, 136, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [816, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [34, 816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.243
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [34]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [816, 34, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [232, 816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1392, 232, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1392, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [58, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.185
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [58]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1392, 58, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [232, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1392, 232, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1392, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [58, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.186
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [58]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1392, 58, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [232, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1392, 232, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1392, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [58, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.186
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [58]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1392, 58, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [232, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1392, 232, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1392, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [58, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.185
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [58]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1392, 58, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [232, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1392, 232, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1392, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [58, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.186
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [58]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1392, 58, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [232, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1392, 232, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1392, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [58, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.185
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [58]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1392, 58, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1392]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [384, 1392, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [2304, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnet_b4.ra2_in1k/graph_hash.txt b/samples/timm/efficientnet_b4.ra2_in1k/graph_hash.txt
new file mode 100644
index 000000000..3e1276873
--- /dev/null
+++ b/samples/timm/efficientnet_b4.ra2_in1k/graph_hash.txt
@@ -0,0 +1 @@
+e90b38c8ff64e93b7570f2ce8364efc90ef9fd774b5e07693719606631106192
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b4.ra2_in1k/graph_net.json b/samples/timm/efficientnet_b4.ra2_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnet_b4.ra2_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b4.ra2_in1k/input_meta.py b/samples/timm/efficientnet_b4.ra2_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b4.ra2_in1k/input_tensor_constraints.py b/samples/timm/efficientnet_b4.ra2_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b4.ra2_in1k/model.py b/samples/timm/efficientnet_b4.ra2_in1k/model.py
new file mode 100644
index 000000000..d7e49ffd0
--- /dev/null
+++ b/samples/timm/efficientnet_b4.ra2_in1k/model.py
@@ -0,0 +1,6089 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
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+        L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.silu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.silu(x_4, inplace=True)
+        x_4 = None
+        x_se = x_5.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.silu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid = torch.sigmoid(x_se_3)
+        x_se_3 = None
+        x_6 = x_5 * sigmoid
+        x_5 = sigmoid = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_8 = torch.nn.functional.batch_norm(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            24,
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_11 = torch.nn.functional.silu(x_10, inplace=True)
+        x_10 = None
+        x_se_4 = x_11.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.silu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_1 = torch.sigmoid(x_se_7)
+        x_se_7 = None
+        x_12 = x_11 * sigmoid_1
+        x_11 = sigmoid_1 = None
+        x_13 = torch.conv2d(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        ) = None
+        x_14 = torch.nn.functional.batch_norm(
+            x_13,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_13 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_15 = x_14 + x_8
+        x_14 = x_8 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.silu(x_17, inplace=True)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            144,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_21 = torch.nn.functional.silu(x_20, inplace=True)
+        x_20 = None
+        x_se_8 = x_21.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.silu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_2 = torch.sigmoid(x_se_11)
+        x_se_11 = None
+        x_22 = x_21 * sigmoid_2
+        x_21 = sigmoid_2 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_27 = torch.nn.functional.silu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_30 = torch.nn.functional.silu(x_29, inplace=True)
+        x_29 = None
+        x_se_12 = x_30.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.silu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_3 = torch.sigmoid(x_se_15)
+        x_se_15 = None
+        x_31 = x_30 * sigmoid_3
+        x_30 = sigmoid_3 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_34 = x_33 + x_24
+        x_33 = x_24 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_37 = torch.nn.functional.silu(x_36, inplace=True)
+        x_36 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_40 = torch.nn.functional.silu(x_39, inplace=True)
+        x_39 = None
+        x_se_16 = x_40.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.silu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_4 = torch.sigmoid(x_se_19)
+        x_se_19 = None
+        x_41 = x_40 * sigmoid_4
+        x_40 = sigmoid_4 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_44 = x_43 + x_34
+        x_43 = x_34 = None
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_47 = torch.nn.functional.silu(x_46, inplace=True)
+        x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        x_47 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_50 = torch.nn.functional.silu(x_49, inplace=True)
+        x_49 = None
+        x_se_20 = x_50.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.silu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_5 = torch.sigmoid(x_se_23)
+        x_se_23 = None
+        x_51 = x_50 * sigmoid_5
+        x_50 = sigmoid_5 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_54 = x_53 + x_44
+        x_53 = x_44 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_54 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_57 = torch.nn.functional.silu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_60 = torch.nn.functional.silu(x_59, inplace=True)
+        x_59 = None
+        x_se_24 = x_60.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.silu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_6 = torch.sigmoid(x_se_27)
+        x_se_27 = None
+        x_61 = x_60 * sigmoid_6
+        x_60 = sigmoid_6 = None
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_61 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_66 = torch.nn.functional.silu(x_65, inplace=True)
+        x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            336,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_69 = torch.nn.functional.silu(x_68, inplace=True)
+        x_68 = None
+        x_se_28 = x_69.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.silu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_7 = torch.sigmoid(x_se_31)
+        x_se_31 = None
+        x_70 = x_69 * sigmoid_7
+        x_69 = sigmoid_7 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_72 = torch.nn.functional.batch_norm(
+            x_71,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_73 = x_72 + x_63
+        x_72 = x_63 = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_76 = torch.nn.functional.silu(x_75, inplace=True)
+        x_75 = None
+        x_77 = torch.conv2d(
+            x_76,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            336,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_78 = torch.nn.functional.batch_norm(
+            x_77,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_77 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_79 = torch.nn.functional.silu(x_78, inplace=True)
+        x_78 = None
+        x_se_32 = x_79.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.silu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_8 = torch.sigmoid(x_se_35)
+        x_se_35 = None
+        x_80 = x_79 * sigmoid_8
+        x_79 = sigmoid_8 = None
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_82 = torch.nn.functional.batch_norm(
+            x_81,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_83 = x_82 + x_73
+        x_82 = x_73 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_86 = torch.nn.functional.silu(x_85, inplace=True)
+        x_85 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            336,
+        )
+        x_86 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_89 = torch.nn.functional.silu(x_88, inplace=True)
+        x_88 = None
+        x_se_36 = x_89.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.silu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_9 = torch.sigmoid(x_se_39)
+        x_se_39 = None
+        x_90 = x_89 * sigmoid_9
+        x_89 = sigmoid_9 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_90 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_93 = x_92 + x_83
+        x_92 = x_83 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_96 = torch.nn.functional.silu(x_95, inplace=True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            336,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_99 = torch.nn.functional.silu(x_98, inplace=True)
+        x_98 = None
+        x_se_40 = x_99.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.silu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_10 = torch.sigmoid(x_se_43)
+        x_se_43 = None
+        x_100 = x_99 * sigmoid_10
+        x_99 = sigmoid_10 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_105 = torch.nn.functional.silu(x_104, inplace=True)
+        x_104 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            672,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.silu(x_107, inplace=True)
+        x_107 = None
+        x_se_44 = x_108.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.silu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_11 = torch.sigmoid(x_se_47)
+        x_se_47 = None
+        x_109 = x_108 * sigmoid_11
+        x_108 = sigmoid_11 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_109 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_112 = x_111 + x_102
+        x_111 = x_102 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_115 = torch.nn.functional.silu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            672,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_118 = torch.nn.functional.silu(x_117, inplace=True)
+        x_117 = None
+        x_se_48 = x_118.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.silu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_12 = torch.sigmoid(x_se_51)
+        x_se_51 = None
+        x_119 = x_118 * sigmoid_12
+        x_118 = sigmoid_12 = None
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_119 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_121 = torch.nn.functional.batch_norm(
+            x_120,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_122 = x_121 + x_112
+        x_121 = x_112 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_125 = torch.nn.functional.silu(x_124, inplace=True)
+        x_124 = None
+        x_126 = torch.conv2d(
+            x_125,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            672,
+        )
+        x_125 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_127 = torch.nn.functional.batch_norm(
+            x_126,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_128 = torch.nn.functional.silu(x_127, inplace=True)
+        x_127 = None
+        x_se_52 = x_128.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.silu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_13 = torch.sigmoid(x_se_55)
+        x_se_55 = None
+        x_129 = x_128 * sigmoid_13
+        x_128 = sigmoid_13 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_129 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_132 = x_131 + x_122
+        x_131 = x_122 = None
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_134 = torch.nn.functional.batch_norm(
+            x_133,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_135 = torch.nn.functional.silu(x_134, inplace=True)
+        x_134 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            672,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_137 = torch.nn.functional.batch_norm(
+            x_136,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_138 = torch.nn.functional.silu(x_137, inplace=True)
+        x_137 = None
+        x_se_56 = x_138.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.silu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_14 = torch.sigmoid(x_se_59)
+        x_se_59 = None
+        x_139 = x_138 * sigmoid_14
+        x_138 = sigmoid_14 = None
+        x_140 = torch.conv2d(
+            x_139,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_139 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_141 = torch.nn.functional.batch_norm(
+            x_140,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_142 = x_141 + x_132
+        x_141 = x_132 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.silu(x_144, inplace=True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            672,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_148 = torch.nn.functional.silu(x_147, inplace=True)
+        x_147 = None
+        x_se_60 = x_148.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.silu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_15 = torch.sigmoid(x_se_63)
+        x_se_63 = None
+        x_149 = x_148 * sigmoid_15
+        x_148 = sigmoid_15 = None
+        x_150 = torch.conv2d(
+            x_149,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_149 = l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_151 = torch.nn.functional.batch_norm(
+            x_150,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_152 = x_151 + x_142
+        x_151 = x_142 = None
+        x_153 = torch.conv2d(
+            x_152,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_152 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_154 = torch.nn.functional.batch_norm(
+            x_153,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_153 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_155 = torch.nn.functional.silu(x_154, inplace=True)
+        x_154 = None
+        x_156 = torch.conv2d(
+            x_155,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_157 = torch.nn.functional.batch_norm(
+            x_156,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_156 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_158 = torch.nn.functional.silu(x_157, inplace=True)
+        x_157 = None
+        x_se_64 = x_158.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.silu(x_se_65, inplace=True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_16 = torch.sigmoid(x_se_67)
+        x_se_67 = None
+        x_159 = x_158 * sigmoid_16
+        x_158 = sigmoid_16 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_162 = torch.conv2d(
+            x_161,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_163 = torch.nn.functional.batch_norm(
+            x_162,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_164 = torch.nn.functional.silu(x_163, inplace=True)
+        x_163 = None
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            960,
+        )
+        x_164 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_166 = torch.nn.functional.batch_norm(
+            x_165,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_165 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_167 = torch.nn.functional.silu(x_166, inplace=True)
+        x_166 = None
+        x_se_68 = x_167.mean((2, 3), keepdim=True)
+        x_se_69 = torch.conv2d(
+            x_se_68,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_68 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_70 = torch.nn.functional.silu(x_se_69, inplace=True)
+        x_se_69 = None
+        x_se_71 = torch.conv2d(
+            x_se_70,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_70 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_17 = torch.sigmoid(x_se_71)
+        x_se_71 = None
+        x_168 = x_167 * sigmoid_17
+        x_167 = sigmoid_17 = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_168 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_170 = torch.nn.functional.batch_norm(
+            x_169,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_169 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_171 = x_170 + x_161
+        x_170 = x_161 = None
+        x_172 = torch.conv2d(
+            x_171,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_173 = torch.nn.functional.batch_norm(
+            x_172,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_172 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_174 = torch.nn.functional.silu(x_173, inplace=True)
+        x_173 = None
+        x_175 = torch.conv2d(
+            x_174,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            960,
+        )
+        x_174 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_176 = torch.nn.functional.batch_norm(
+            x_175,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_175 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_177 = torch.nn.functional.silu(x_176, inplace=True)
+        x_176 = None
+        x_se_72 = x_177.mean((2, 3), keepdim=True)
+        x_se_73 = torch.conv2d(
+            x_se_72,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_72 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_74 = torch.nn.functional.silu(x_se_73, inplace=True)
+        x_se_73 = None
+        x_se_75 = torch.conv2d(
+            x_se_74,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_74 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_18 = torch.sigmoid(x_se_75)
+        x_se_75 = None
+        x_178 = x_177 * sigmoid_18
+        x_177 = sigmoid_18 = None
+        x_179 = torch.conv2d(
+            x_178,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_178 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_180 = torch.nn.functional.batch_norm(
+            x_179,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_179 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_181 = x_180 + x_171
+        x_180 = x_171 = None
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_183 = torch.nn.functional.batch_norm(
+            x_182,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_182 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_184 = torch.nn.functional.silu(x_183, inplace=True)
+        x_183 = None
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            960,
+        )
+        x_184 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_186 = torch.nn.functional.batch_norm(
+            x_185,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_185 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_187 = torch.nn.functional.silu(x_186, inplace=True)
+        x_186 = None
+        x_se_76 = x_187.mean((2, 3), keepdim=True)
+        x_se_77 = torch.conv2d(
+            x_se_76,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_76 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_78 = torch.nn.functional.silu(x_se_77, inplace=True)
+        x_se_77 = None
+        x_se_79 = torch.conv2d(
+            x_se_78,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_78 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_19 = torch.sigmoid(x_se_79)
+        x_se_79 = None
+        x_188 = x_187 * sigmoid_19
+        x_187 = sigmoid_19 = None
+        x_189 = torch.conv2d(
+            x_188,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_188 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_190 = torch.nn.functional.batch_norm(
+            x_189,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_189 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_191 = x_190 + x_181
+        x_190 = x_181 = None
+        x_192 = torch.conv2d(
+            x_191,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_193 = torch.nn.functional.batch_norm(
+            x_192,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_192 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_194 = torch.nn.functional.silu(x_193, inplace=True)
+        x_193 = None
+        x_195 = torch.conv2d(
+            x_194,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            960,
+        )
+        x_194 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_196 = torch.nn.functional.batch_norm(
+            x_195,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_195 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_197 = torch.nn.functional.silu(x_196, inplace=True)
+        x_196 = None
+        x_se_80 = x_197.mean((2, 3), keepdim=True)
+        x_se_81 = torch.conv2d(
+            x_se_80,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_80 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_82 = torch.nn.functional.silu(x_se_81, inplace=True)
+        x_se_81 = None
+        x_se_83 = torch.conv2d(
+            x_se_82,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_82 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_20 = torch.sigmoid(x_se_83)
+        x_se_83 = None
+        x_198 = x_197 * sigmoid_20
+        x_197 = sigmoid_20 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_198 = l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_200 = torch.nn.functional.batch_norm(
+            x_199,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_199 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_201 = x_200 + x_191
+        x_200 = x_191 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_203 = torch.nn.functional.batch_norm(
+            x_202,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_202 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_204 = torch.nn.functional.silu(x_203, inplace=True)
+        x_203 = None
+        x_205 = torch.conv2d(
+            x_204,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            960,
+        )
+        x_204 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_206 = torch.nn.functional.batch_norm(
+            x_205,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_205 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_207 = torch.nn.functional.silu(x_206, inplace=True)
+        x_206 = None
+        x_se_84 = x_207.mean((2, 3), keepdim=True)
+        x_se_85 = torch.conv2d(
+            x_se_84,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_84 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_86 = torch.nn.functional.silu(x_se_85, inplace=True)
+        x_se_85 = None
+        x_se_87 = torch.conv2d(
+            x_se_86,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_86 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_21 = torch.sigmoid(x_se_87)
+        x_se_87 = None
+        x_208 = x_207 * sigmoid_21
+        x_207 = sigmoid_21 = None
+        x_209 = torch.conv2d(
+            x_208,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_208 = l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_210 = torch.nn.functional.batch_norm(
+            x_209,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_209 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_211 = x_210 + x_201
+        x_210 = x_201 = None
+        x_212 = torch.conv2d(
+            x_211,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_211 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_213 = torch.nn.functional.batch_norm(
+            x_212,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_212 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_214 = torch.nn.functional.silu(x_213, inplace=True)
+        x_213 = None
+        x_215 = torch.conv2d(
+            x_214,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            960,
+        )
+        x_214 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_216 = torch.nn.functional.batch_norm(
+            x_215,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_215 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_217 = torch.nn.functional.silu(x_216, inplace=True)
+        x_216 = None
+        x_se_88 = x_217.mean((2, 3), keepdim=True)
+        x_se_89 = torch.conv2d(
+            x_se_88,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_88 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_90 = torch.nn.functional.silu(x_se_89, inplace=True)
+        x_se_89 = None
+        x_se_91 = torch.conv2d(
+            x_se_90,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_90 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_22 = torch.sigmoid(x_se_91)
+        x_se_91 = None
+        x_218 = x_217 * sigmoid_22
+        x_217 = sigmoid_22 = None
+        x_219 = torch.conv2d(
+            x_218,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_218 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_220 = torch.nn.functional.batch_norm(
+            x_219,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_219 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_221 = torch.conv2d(
+            x_220,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_222 = torch.nn.functional.batch_norm(
+            x_221,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_221 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_223 = torch.nn.functional.silu(x_222, inplace=True)
+        x_222 = None
+        x_224 = torch.conv2d(
+            x_223,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1632,
+        )
+        x_223 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_225 = torch.nn.functional.batch_norm(
+            x_224,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_224 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_226 = torch.nn.functional.silu(x_225, inplace=True)
+        x_225 = None
+        x_se_92 = x_226.mean((2, 3), keepdim=True)
+        x_se_93 = torch.conv2d(
+            x_se_92,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_92 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_94 = torch.nn.functional.silu(x_se_93, inplace=True)
+        x_se_93 = None
+        x_se_95 = torch.conv2d(
+            x_se_94,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_94 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_23 = torch.sigmoid(x_se_95)
+        x_se_95 = None
+        x_227 = x_226 * sigmoid_23
+        x_226 = sigmoid_23 = None
+        x_228 = torch.conv2d(
+            x_227,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_227 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_229 = torch.nn.functional.batch_norm(
+            x_228,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_228 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_230 = x_229 + x_220
+        x_229 = x_220 = None
+        x_231 = torch.conv2d(
+            x_230,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_232 = torch.nn.functional.batch_norm(
+            x_231,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_231 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_233 = torch.nn.functional.silu(x_232, inplace=True)
+        x_232 = None
+        x_234 = torch.conv2d(
+            x_233,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1632,
+        )
+        x_233 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_235 = torch.nn.functional.batch_norm(
+            x_234,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_234 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_236 = torch.nn.functional.silu(x_235, inplace=True)
+        x_235 = None
+        x_se_96 = x_236.mean((2, 3), keepdim=True)
+        x_se_97 = torch.conv2d(
+            x_se_96,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_96 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_98 = torch.nn.functional.silu(x_se_97, inplace=True)
+        x_se_97 = None
+        x_se_99 = torch.conv2d(
+            x_se_98,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_98 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_24 = torch.sigmoid(x_se_99)
+        x_se_99 = None
+        x_237 = x_236 * sigmoid_24
+        x_236 = sigmoid_24 = None
+        x_238 = torch.conv2d(
+            x_237,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_237 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_239 = torch.nn.functional.batch_norm(
+            x_238,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_238 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_240 = x_239 + x_230
+        x_239 = x_230 = None
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_242 = torch.nn.functional.batch_norm(
+            x_241,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_241 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_243 = torch.nn.functional.silu(x_242, inplace=True)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1632,
+        )
+        x_243 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_245 = torch.nn.functional.batch_norm(
+            x_244,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_244 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_246 = torch.nn.functional.silu(x_245, inplace=True)
+        x_245 = None
+        x_se_100 = x_246.mean((2, 3), keepdim=True)
+        x_se_101 = torch.conv2d(
+            x_se_100,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_100 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_102 = torch.nn.functional.silu(x_se_101, inplace=True)
+        x_se_101 = None
+        x_se_103 = torch.conv2d(
+            x_se_102,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_102 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_25 = torch.sigmoid(x_se_103)
+        x_se_103 = None
+        x_247 = x_246 * sigmoid_25
+        x_246 = sigmoid_25 = None
+        x_248 = torch.conv2d(
+            x_247,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_247 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_249 = torch.nn.functional.batch_norm(
+            x_248,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_248 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_250 = x_249 + x_240
+        x_249 = x_240 = None
+        x_251 = torch.conv2d(
+            x_250,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_252 = torch.nn.functional.batch_norm(
+            x_251,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_251 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_253 = torch.nn.functional.silu(x_252, inplace=True)
+        x_252 = None
+        x_254 = torch.conv2d(
+            x_253,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1632,
+        )
+        x_253 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_255 = torch.nn.functional.batch_norm(
+            x_254,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_254 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_256 = torch.nn.functional.silu(x_255, inplace=True)
+        x_255 = None
+        x_se_104 = x_256.mean((2, 3), keepdim=True)
+        x_se_105 = torch.conv2d(
+            x_se_104,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_104 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_106 = torch.nn.functional.silu(x_se_105, inplace=True)
+        x_se_105 = None
+        x_se_107 = torch.conv2d(
+            x_se_106,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_106 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_26 = torch.sigmoid(x_se_107)
+        x_se_107 = None
+        x_257 = x_256 * sigmoid_26
+        x_256 = sigmoid_26 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_257 = l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_259 = torch.nn.functional.batch_norm(
+            x_258,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_258 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_260 = x_259 + x_250
+        x_259 = x_250 = None
+        x_261 = torch.conv2d(
+            x_260,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_262 = torch.nn.functional.batch_norm(
+            x_261,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_261 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_263 = torch.nn.functional.silu(x_262, inplace=True)
+        x_262 = None
+        x_264 = torch.conv2d(
+            x_263,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1632,
+        )
+        x_263 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_265 = torch.nn.functional.batch_norm(
+            x_264,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_264 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_266 = torch.nn.functional.silu(x_265, inplace=True)
+        x_265 = None
+        x_se_108 = x_266.mean((2, 3), keepdim=True)
+        x_se_109 = torch.conv2d(
+            x_se_108,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_108 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_110 = torch.nn.functional.silu(x_se_109, inplace=True)
+        x_se_109 = None
+        x_se_111 = torch.conv2d(
+            x_se_110,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_110 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_27 = torch.sigmoid(x_se_111)
+        x_se_111 = None
+        x_267 = x_266 * sigmoid_27
+        x_266 = sigmoid_27 = None
+        x_268 = torch.conv2d(
+            x_267,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_267 = l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_269 = torch.nn.functional.batch_norm(
+            x_268,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_268 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_270 = x_269 + x_260
+        x_269 = x_260 = None
+        x_271 = torch.conv2d(
+            x_270,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_272 = torch.nn.functional.batch_norm(
+            x_271,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_271 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_273 = torch.nn.functional.silu(x_272, inplace=True)
+        x_272 = None
+        x_274 = torch.conv2d(
+            x_273,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1632,
+        )
+        x_273 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_275 = torch.nn.functional.batch_norm(
+            x_274,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_274 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_276 = torch.nn.functional.silu(x_275, inplace=True)
+        x_275 = None
+        x_se_112 = x_276.mean((2, 3), keepdim=True)
+        x_se_113 = torch.conv2d(
+            x_se_112,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_112 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_114 = torch.nn.functional.silu(x_se_113, inplace=True)
+        x_se_113 = None
+        x_se_115 = torch.conv2d(
+            x_se_114,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_114 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_28 = torch.sigmoid(x_se_115)
+        x_se_115 = None
+        x_277 = x_276 * sigmoid_28
+        x_276 = sigmoid_28 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_277 = l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_279 = torch.nn.functional.batch_norm(
+            x_278,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_278 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_280 = x_279 + x_270
+        x_279 = x_270 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_282 = torch.nn.functional.batch_norm(
+            x_281,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_281 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        ) = None
+        x_283 = torch.nn.functional.silu(x_282, inplace=True)
+        x_282 = None
+        x_284 = torch.conv2d(
+            x_283,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1632,
+        )
+        x_283 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        ) = None
+        x_285 = torch.nn.functional.batch_norm(
+            x_284,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_284 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        ) = None
+        x_286 = torch.nn.functional.silu(x_285, inplace=True)
+        x_285 = None
+        x_se_116 = x_286.mean((2, 3), keepdim=True)
+        x_se_117 = torch.conv2d(
+            x_se_116,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_116 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_118 = torch.nn.functional.silu(x_se_117, inplace=True)
+        x_se_117 = None
+        x_se_119 = torch.conv2d(
+            x_se_118,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_118 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_29 = torch.sigmoid(x_se_119)
+        x_se_119 = None
+        x_287 = x_286 * sigmoid_29
+        x_286 = sigmoid_29 = None
+        x_288 = torch.conv2d(
+            x_287,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_287 = l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = (None)
+        x_289 = torch.nn.functional.batch_norm(
+            x_288,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_288 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        ) = None
+        x_290 = x_289 + x_280
+        x_289 = x_280 = None
+        x_291 = torch.conv2d(
+            x_290,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_290 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_292 = torch.nn.functional.batch_norm(
+            x_291,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_291 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_293 = torch.nn.functional.silu(x_292, inplace=True)
+        x_292 = None
+        x_294 = torch.conv2d(
+            x_293,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_293 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_295 = torch.nn.functional.batch_norm(
+            x_294,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_294 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_296 = torch.nn.functional.silu(x_295, inplace=True)
+        x_295 = None
+        x_se_120 = x_296.mean((2, 3), keepdim=True)
+        x_se_121 = torch.conv2d(
+            x_se_120,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_120 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_122 = torch.nn.functional.silu(x_se_121, inplace=True)
+        x_se_121 = None
+        x_se_123 = torch.conv2d(
+            x_se_122,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_122 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_30 = torch.sigmoid(x_se_123)
+        x_se_123 = None
+        x_297 = x_296 * sigmoid_30
+        x_296 = sigmoid_30 = None
+        x_298 = torch.conv2d(
+            x_297,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_297 = l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_299 = torch.nn.functional.batch_norm(
+            x_298,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_298 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_301 = torch.nn.functional.batch_norm(
+            x_300,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_300 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_302 = torch.nn.functional.silu(x_301, inplace=True)
+        x_301 = None
+        x_303 = torch.conv2d(
+            x_302,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2688,
+        )
+        x_302 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_304 = torch.nn.functional.batch_norm(
+            x_303,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_303 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_305 = torch.nn.functional.silu(x_304, inplace=True)
+        x_304 = None
+        x_se_124 = x_305.mean((2, 3), keepdim=True)
+        x_se_125 = torch.conv2d(
+            x_se_124,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_124 = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_126 = torch.nn.functional.silu(x_se_125, inplace=True)
+        x_se_125 = None
+        x_se_127 = torch.conv2d(
+            x_se_126,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_126 = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_31 = torch.sigmoid(x_se_127)
+        x_se_127 = None
+        x_306 = x_305 * sigmoid_31
+        x_305 = sigmoid_31 = None
+        x_307 = torch.conv2d(
+            x_306,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_306 = l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_308 = torch.nn.functional.batch_norm(
+            x_307,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_307 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_309 = x_308 + x_299
+        x_308 = x_299 = None
+        x_310 = torch.conv2d(
+            x_309,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_309 = l_self_modules_conv_head_parameters_weight_ = None
+        x_311 = torch.nn.functional.batch_norm(
+            x_310,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_310 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_312 = torch.nn.functional.silu(x_311, inplace=True)
+        x_311 = None
+        x_313 = torch.nn.functional.adaptive_avg_pool2d(x_312, 1)
+        x_312 = None
+        x_314 = x_313.flatten(1, -1)
+        x_313 = None
+        x_315 = torch._C._nn.linear(
+            x_314,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_314 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_315,)
diff --git a/samples/timm/efficientnet_b4.ra2_in1k/weight_meta.py b/samples/timm/efficientnet_b4.ra2_in1k/weight_meta.py
new file mode 100644
index 000000000..f05a3e3aa
--- /dev/null
+++ b/samples/timm/efficientnet_b4.ra2_in1k/weight_meta.py
@@ -0,0 +1,6306 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [48, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.071
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.228
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.480
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [12, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.014
+    std = 0.394
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [48, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.012
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [24, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.035
+    std = 0.483
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.060
+    std = 0.570
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [24, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.026
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.583
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.121
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.253
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.021
+    std = 0.484
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.479
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [192, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.247
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.015
+    std = 0.476
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.027
+    std = 0.487
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [192, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.103
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.021
+    std = 0.478
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [192, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.103
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.491
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [192, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.099
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.076
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [14, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.376
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [336, 14, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.188
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [14, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.374
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [336, 14, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.187
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [14, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.373
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [336, 14, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.476
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [14, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.381
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [336, 14, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.478
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.268
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.463
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.266
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.268
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.270
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.267
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [28, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.267
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [28]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 28, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [448, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [2688, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [2688, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [112, 2688, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [2688, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [2688]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [448, 2688, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1792, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnet_b5.sw_in12k/graph_hash.txt b/samples/timm/efficientnet_b5.sw_in12k/graph_hash.txt
new file mode 100644
index 000000000..af4a0b6e8
--- /dev/null
+++ b/samples/timm/efficientnet_b5.sw_in12k/graph_hash.txt
@@ -0,0 +1 @@
+6f1f2b5a69a4c52e46fd840f980912978c923e9d1e84e60052340e2816763a0c
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b5.sw_in12k/graph_net.json b/samples/timm/efficientnet_b5.sw_in12k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnet_b5.sw_in12k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnet_b5.sw_in12k/input_meta.py b/samples/timm/efficientnet_b5.sw_in12k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b5.sw_in12k/input_tensor_constraints.py b/samples/timm/efficientnet_b5.sw_in12k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_b5.sw_in12k/model.py b/samples/timm/efficientnet_b5.sw_in12k/model.py
new file mode 100644
index 000000000..11489d523
--- /dev/null
+++ b/samples/timm/efficientnet_b5.sw_in12k/model.py
@@ -0,0 +1,7370 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.silu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.silu(x_4, inplace=True)
+        x_4 = None
+        x_se = x_5.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.silu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid = torch.sigmoid(x_se_3)
+        x_se_3 = None
+        x_6 = x_5 * sigmoid
+        x_5 = sigmoid = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_8 = torch.nn.functional.batch_norm(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            24,
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_11 = torch.nn.functional.silu(x_10, inplace=True)
+        x_10 = None
+        x_se_4 = x_11.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.silu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_1 = torch.sigmoid(x_se_7)
+        x_se_7 = None
+        x_12 = x_11 * sigmoid_1
+        x_11 = sigmoid_1 = None
+        x_13 = torch.conv2d(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        ) = None
+        x_14 = torch.nn.functional.batch_norm(
+            x_13,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_13 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_15 = x_14 + x_8
+        x_14 = x_8 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            24,
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.silu(x_17, inplace=True)
+        x_17 = None
+        x_se_8 = x_18.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.silu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_2 = torch.sigmoid(x_se_11)
+        x_se_11 = None
+        x_19 = x_18 * sigmoid_2
+        x_18 = sigmoid_2 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_
+        ) = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_22 = x_21 + x_15
+        x_21 = x_15 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_25 = torch.nn.functional.silu(x_24, inplace=True)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            144,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_28 = torch.nn.functional.silu(x_27, inplace=True)
+        x_27 = None
+        x_se_12 = x_28.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.silu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_3 = torch.sigmoid(x_se_15)
+        x_se_15 = None
+        x_29 = x_28 * sigmoid_3
+        x_28 = sigmoid_3 = None
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_29 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_34 = torch.nn.functional.silu(x_33, inplace=True)
+        x_33 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_37 = torch.nn.functional.silu(x_36, inplace=True)
+        x_36 = None
+        x_se_16 = x_37.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.silu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_4 = torch.sigmoid(x_se_19)
+        x_se_19 = None
+        x_38 = x_37 * sigmoid_4
+        x_37 = sigmoid_4 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_41 = x_40 + x_31
+        x_40 = x_31 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_44 = torch.nn.functional.silu(x_43, inplace=True)
+        x_43 = None
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_47 = torch.nn.functional.silu(x_46, inplace=True)
+        x_46 = None
+        x_se_20 = x_47.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.silu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_5 = torch.sigmoid(x_se_23)
+        x_se_23 = None
+        x_48 = x_47 * sigmoid_5
+        x_47 = sigmoid_5 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_51 = x_50 + x_41
+        x_50 = x_41 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_54 = torch.nn.functional.silu(x_53, inplace=True)
+        x_53 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_54 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_57 = torch.nn.functional.silu(x_56, inplace=True)
+        x_56 = None
+        x_se_24 = x_57.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.silu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_6 = torch.sigmoid(x_se_27)
+        x_se_27 = None
+        x_58 = x_57 * sigmoid_6
+        x_57 = sigmoid_6 = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_58 = l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_60 = torch.nn.functional.batch_norm(
+            x_59,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_61 = x_60 + x_51
+        x_60 = x_51 = None
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_64 = torch.nn.functional.silu(x_63, inplace=True)
+        x_63 = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_65 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_67 = torch.nn.functional.silu(x_66, inplace=True)
+        x_66 = None
+        x_se_28 = x_67.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.silu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_7 = torch.sigmoid(x_se_31)
+        x_se_31 = None
+        x_68 = x_67 * sigmoid_7
+        x_67 = sigmoid_7 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_68 = l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_71 = x_70 + x_61
+        x_70 = x_61 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_74 = torch.nn.functional.silu(x_73, inplace=True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            240,
+        )
+        x_74 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_77 = torch.nn.functional.silu(x_76, inplace=True)
+        x_76 = None
+        x_se_32 = x_77.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.silu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_8 = torch.sigmoid(x_se_35)
+        x_se_35 = None
+        x_78 = x_77 * sigmoid_8
+        x_77 = sigmoid_8 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_82 = torch.nn.functional.batch_norm(
+            x_81,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_83 = torch.nn.functional.silu(x_82, inplace=True)
+        x_82 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_86 = torch.nn.functional.silu(x_85, inplace=True)
+        x_85 = None
+        x_se_36 = x_86.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.silu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_9 = torch.sigmoid(x_se_39)
+        x_se_39 = None
+        x_87 = x_86 * sigmoid_9
+        x_86 = sigmoid_9 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_87 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_90 = x_89 + x_80
+        x_89 = x_80 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_93 = torch.nn.functional.silu(x_92, inplace=True)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_96 = torch.nn.functional.silu(x_95, inplace=True)
+        x_95 = None
+        x_se_40 = x_96.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.silu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_10 = torch.sigmoid(x_se_43)
+        x_se_43 = None
+        x_97 = x_96 * sigmoid_10
+        x_96 = sigmoid_10 = None
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_97 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_100 = x_99 + x_90
+        x_99 = x_90 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_103 = torch.nn.functional.silu(x_102, inplace=True)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_106 = torch.nn.functional.silu(x_105, inplace=True)
+        x_105 = None
+        x_se_44 = x_106.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.silu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_11 = torch.sigmoid(x_se_47)
+        x_se_47 = None
+        x_107 = x_106 * sigmoid_11
+        x_106 = sigmoid_11 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_110 = x_109 + x_100
+        x_109 = x_100 = None
+        x_111 = torch.conv2d(
+            x_110,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_112 = torch.nn.functional.batch_norm(
+            x_111,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_113 = torch.nn.functional.silu(x_112, inplace=True)
+        x_112 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_116 = torch.nn.functional.silu(x_115, inplace=True)
+        x_115 = None
+        x_se_48 = x_116.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.silu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_12 = torch.sigmoid(x_se_51)
+        x_se_51 = None
+        x_117 = x_116 * sigmoid_12
+        x_116 = sigmoid_12 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_119 = torch.nn.functional.batch_norm(
+            x_118,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_120 = x_119 + x_110
+        x_119 = x_110 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_123 = torch.nn.functional.silu(x_122, inplace=True)
+        x_122 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.silu(x_125, inplace=True)
+        x_125 = None
+        x_se_52 = x_126.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.silu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_13 = torch.sigmoid(x_se_55)
+        x_se_55 = None
+        x_127 = x_126 * sigmoid_13
+        x_126 = sigmoid_13 = None
+        x_128 = torch.conv2d(
+            x_127,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_127 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_132 = torch.nn.functional.silu(x_131, inplace=True)
+        x_131 = None
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_134 = torch.nn.functional.batch_norm(
+            x_133,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_135 = torch.nn.functional.silu(x_134, inplace=True)
+        x_134 = None
+        x_se_56 = x_135.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.silu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_14 = torch.sigmoid(x_se_59)
+        x_se_59 = None
+        x_136 = x_135 * sigmoid_14
+        x_135 = sigmoid_14 = None
+        x_137 = torch.conv2d(
+            x_136,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_136 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_138 = torch.nn.functional.batch_norm(
+            x_137,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_137 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_139 = x_138 + x_129
+        x_138 = x_129 = None
+        x_140 = torch.conv2d(
+            x_139,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_141 = torch.nn.functional.batch_norm(
+            x_140,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_142 = torch.nn.functional.silu(x_141, inplace=True)
+        x_141 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.silu(x_144, inplace=True)
+        x_144 = None
+        x_se_60 = x_145.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.silu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_15 = torch.sigmoid(x_se_63)
+        x_se_63 = None
+        x_146 = x_145 * sigmoid_15
+        x_145 = sigmoid_15 = None
+        x_147 = torch.conv2d(
+            x_146,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_146 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_148 = torch.nn.functional.batch_norm(
+            x_147,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_147 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_149 = x_148 + x_139
+        x_148 = x_139 = None
+        x_150 = torch.conv2d(
+            x_149,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_151 = torch.nn.functional.batch_norm(
+            x_150,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_152 = torch.nn.functional.silu(x_151, inplace=True)
+        x_151 = None
+        x_153 = torch.conv2d(
+            x_152,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_152 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_154 = torch.nn.functional.batch_norm(
+            x_153,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_153 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_155 = torch.nn.functional.silu(x_154, inplace=True)
+        x_154 = None
+        x_se_64 = x_155.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.silu(x_se_65, inplace=True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_16 = torch.sigmoid(x_se_67)
+        x_se_67 = None
+        x_156 = x_155 * sigmoid_16
+        x_155 = sigmoid_16 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_156 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_159 = x_158 + x_149
+        x_158 = x_149 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_162 = torch.nn.functional.silu(x_161, inplace=True)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_165 = torch.nn.functional.silu(x_164, inplace=True)
+        x_164 = None
+        x_se_68 = x_165.mean((2, 3), keepdim=True)
+        x_se_69 = torch.conv2d(
+            x_se_68,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_68 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_70 = torch.nn.functional.silu(x_se_69, inplace=True)
+        x_se_69 = None
+        x_se_71 = torch.conv2d(
+            x_se_70,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_70 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_17 = torch.sigmoid(x_se_71)
+        x_se_71 = None
+        x_166 = x_165 * sigmoid_17
+        x_165 = sigmoid_17 = None
+        x_167 = torch.conv2d(
+            x_166,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_166 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_168 = torch.nn.functional.batch_norm(
+            x_167,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_167 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_169 = x_168 + x_159
+        x_168 = x_159 = None
+        x_170 = torch.conv2d(
+            x_169,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_171 = torch.nn.functional.batch_norm(
+            x_170,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_170 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_172 = torch.nn.functional.silu(x_171, inplace=True)
+        x_171 = None
+        x_173 = torch.conv2d(
+            x_172,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_172 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_174 = torch.nn.functional.batch_norm(
+            x_173,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_173 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_175 = torch.nn.functional.silu(x_174, inplace=True)
+        x_174 = None
+        x_se_72 = x_175.mean((2, 3), keepdim=True)
+        x_se_73 = torch.conv2d(
+            x_se_72,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_72 = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_74 = torch.nn.functional.silu(x_se_73, inplace=True)
+        x_se_73 = None
+        x_se_75 = torch.conv2d(
+            x_se_74,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_74 = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_18 = torch.sigmoid(x_se_75)
+        x_se_75 = None
+        x_176 = x_175 * sigmoid_18
+        x_175 = sigmoid_18 = None
+        x_177 = torch.conv2d(
+            x_176,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_176 = l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_178 = torch.nn.functional.batch_norm(
+            x_177,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_177 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_179 = x_178 + x_169
+        x_178 = x_169 = None
+        x_180 = torch.conv2d(
+            x_179,
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_181 = torch.nn.functional.batch_norm(
+            x_180,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_180 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_182 = torch.nn.functional.silu(x_181, inplace=True)
+        x_181 = None
+        x_183 = torch.conv2d(
+            x_182,
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_182 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_184 = torch.nn.functional.batch_norm(
+            x_183,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_183 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_185 = torch.nn.functional.silu(x_184, inplace=True)
+        x_184 = None
+        x_se_76 = x_185.mean((2, 3), keepdim=True)
+        x_se_77 = torch.conv2d(
+            x_se_76,
+            l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_76 = l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_78 = torch.nn.functional.silu(x_se_77, inplace=True)
+        x_se_77 = None
+        x_se_79 = torch.conv2d(
+            x_se_78,
+            l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_78 = l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_19 = torch.sigmoid(x_se_79)
+        x_se_79 = None
+        x_186 = x_185 * sigmoid_19
+        x_185 = sigmoid_19 = None
+        x_187 = torch.conv2d(
+            x_186,
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_186 = l_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_188 = torch.nn.functional.batch_norm(
+            x_187,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_187 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_189 = x_188 + x_179
+        x_188 = x_179 = None
+        x_190 = torch.conv2d(
+            x_189,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_189 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_191 = torch.nn.functional.batch_norm(
+            x_190,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_190 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_192 = torch.nn.functional.silu(x_191, inplace=True)
+        x_191 = None
+        x_193 = torch.conv2d(
+            x_192,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_192 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_194 = torch.nn.functional.batch_norm(
+            x_193,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_193 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_195 = torch.nn.functional.silu(x_194, inplace=True)
+        x_194 = None
+        x_se_80 = x_195.mean((2, 3), keepdim=True)
+        x_se_81 = torch.conv2d(
+            x_se_80,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_80 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_82 = torch.nn.functional.silu(x_se_81, inplace=True)
+        x_se_81 = None
+        x_se_83 = torch.conv2d(
+            x_se_82,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_82 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_20 = torch.sigmoid(x_se_83)
+        x_se_83 = None
+        x_196 = x_195 * sigmoid_20
+        x_195 = sigmoid_20 = None
+        x_197 = torch.conv2d(
+            x_196,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_196 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_198 = torch.nn.functional.batch_norm(
+            x_197,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_197 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_200 = torch.nn.functional.batch_norm(
+            x_199,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_199 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_201 = torch.nn.functional.silu(x_200, inplace=True)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1056,
+        )
+        x_201 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_203 = torch.nn.functional.batch_norm(
+            x_202,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_202 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_204 = torch.nn.functional.silu(x_203, inplace=True)
+        x_203 = None
+        x_se_84 = x_204.mean((2, 3), keepdim=True)
+        x_se_85 = torch.conv2d(
+            x_se_84,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_84 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_86 = torch.nn.functional.silu(x_se_85, inplace=True)
+        x_se_85 = None
+        x_se_87 = torch.conv2d(
+            x_se_86,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_86 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_21 = torch.sigmoid(x_se_87)
+        x_se_87 = None
+        x_205 = x_204 * sigmoid_21
+        x_204 = sigmoid_21 = None
+        x_206 = torch.conv2d(
+            x_205,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_205 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_207 = torch.nn.functional.batch_norm(
+            x_206,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_206 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_208 = x_207 + x_198
+        x_207 = x_198 = None
+        x_209 = torch.conv2d(
+            x_208,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_210 = torch.nn.functional.batch_norm(
+            x_209,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_209 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_211 = torch.nn.functional.silu(x_210, inplace=True)
+        x_210 = None
+        x_212 = torch.conv2d(
+            x_211,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1056,
+        )
+        x_211 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_213 = torch.nn.functional.batch_norm(
+            x_212,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_212 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_214 = torch.nn.functional.silu(x_213, inplace=True)
+        x_213 = None
+        x_se_88 = x_214.mean((2, 3), keepdim=True)
+        x_se_89 = torch.conv2d(
+            x_se_88,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_88 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_90 = torch.nn.functional.silu(x_se_89, inplace=True)
+        x_se_89 = None
+        x_se_91 = torch.conv2d(
+            x_se_90,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_90 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_22 = torch.sigmoid(x_se_91)
+        x_se_91 = None
+        x_215 = x_214 * sigmoid_22
+        x_214 = sigmoid_22 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_215 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_217 = torch.nn.functional.batch_norm(
+            x_216,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_216 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_218 = x_217 + x_208
+        x_217 = x_208 = None
+        x_219 = torch.conv2d(
+            x_218,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_220 = torch.nn.functional.batch_norm(
+            x_219,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_219 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_221 = torch.nn.functional.silu(x_220, inplace=True)
+        x_220 = None
+        x_222 = torch.conv2d(
+            x_221,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1056,
+        )
+        x_221 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_223 = torch.nn.functional.batch_norm(
+            x_222,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_222 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_224 = torch.nn.functional.silu(x_223, inplace=True)
+        x_223 = None
+        x_se_92 = x_224.mean((2, 3), keepdim=True)
+        x_se_93 = torch.conv2d(
+            x_se_92,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_92 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_94 = torch.nn.functional.silu(x_se_93, inplace=True)
+        x_se_93 = None
+        x_se_95 = torch.conv2d(
+            x_se_94,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_94 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_23 = torch.sigmoid(x_se_95)
+        x_se_95 = None
+        x_225 = x_224 * sigmoid_23
+        x_224 = sigmoid_23 = None
+        x_226 = torch.conv2d(
+            x_225,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_225 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_227 = torch.nn.functional.batch_norm(
+            x_226,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_226 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_228 = x_227 + x_218
+        x_227 = x_218 = None
+        x_229 = torch.conv2d(
+            x_228,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_230 = torch.nn.functional.batch_norm(
+            x_229,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_229 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_231 = torch.nn.functional.silu(x_230, inplace=True)
+        x_230 = None
+        x_232 = torch.conv2d(
+            x_231,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1056,
+        )
+        x_231 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_233 = torch.nn.functional.batch_norm(
+            x_232,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_232 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_234 = torch.nn.functional.silu(x_233, inplace=True)
+        x_233 = None
+        x_se_96 = x_234.mean((2, 3), keepdim=True)
+        x_se_97 = torch.conv2d(
+            x_se_96,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_96 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_98 = torch.nn.functional.silu(x_se_97, inplace=True)
+        x_se_97 = None
+        x_se_99 = torch.conv2d(
+            x_se_98,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_98 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_24 = torch.sigmoid(x_se_99)
+        x_se_99 = None
+        x_235 = x_234 * sigmoid_24
+        x_234 = sigmoid_24 = None
+        x_236 = torch.conv2d(
+            x_235,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_235 = l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_237 = torch.nn.functional.batch_norm(
+            x_236,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_236 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_238 = x_237 + x_228
+        x_237 = x_228 = None
+        x_239 = torch.conv2d(
+            x_238,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_240 = torch.nn.functional.batch_norm(
+            x_239,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_239 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_241 = torch.nn.functional.silu(x_240, inplace=True)
+        x_240 = None
+        x_242 = torch.conv2d(
+            x_241,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1056,
+        )
+        x_241 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_243 = torch.nn.functional.batch_norm(
+            x_242,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_242 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_244 = torch.nn.functional.silu(x_243, inplace=True)
+        x_243 = None
+        x_se_100 = x_244.mean((2, 3), keepdim=True)
+        x_se_101 = torch.conv2d(
+            x_se_100,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_100 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_102 = torch.nn.functional.silu(x_se_101, inplace=True)
+        x_se_101 = None
+        x_se_103 = torch.conv2d(
+            x_se_102,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_102 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_25 = torch.sigmoid(x_se_103)
+        x_se_103 = None
+        x_245 = x_244 * sigmoid_25
+        x_244 = sigmoid_25 = None
+        x_246 = torch.conv2d(
+            x_245,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_245 = l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_247 = torch.nn.functional.batch_norm(
+            x_246,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_246 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_248 = x_247 + x_238
+        x_247 = x_238 = None
+        x_249 = torch.conv2d(
+            x_248,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_250 = torch.nn.functional.batch_norm(
+            x_249,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_249 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_251 = torch.nn.functional.silu(x_250, inplace=True)
+        x_250 = None
+        x_252 = torch.conv2d(
+            x_251,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1056,
+        )
+        x_251 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_253 = torch.nn.functional.batch_norm(
+            x_252,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_252 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_254 = torch.nn.functional.silu(x_253, inplace=True)
+        x_253 = None
+        x_se_104 = x_254.mean((2, 3), keepdim=True)
+        x_se_105 = torch.conv2d(
+            x_se_104,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_104 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_106 = torch.nn.functional.silu(x_se_105, inplace=True)
+        x_se_105 = None
+        x_se_107 = torch.conv2d(
+            x_se_106,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_106 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_26 = torch.sigmoid(x_se_107)
+        x_se_107 = None
+        x_255 = x_254 * sigmoid_26
+        x_254 = sigmoid_26 = None
+        x_256 = torch.conv2d(
+            x_255,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_255 = l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_257 = torch.nn.functional.batch_norm(
+            x_256,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_256 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_258 = x_257 + x_248
+        x_257 = x_248 = None
+        x_259 = torch.conv2d(
+            x_258,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_258 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_260 = torch.nn.functional.batch_norm(
+            x_259,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_259 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_261 = torch.nn.functional.silu(x_260, inplace=True)
+        x_260 = None
+        x_262 = torch.conv2d(
+            x_261,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            1056,
+        )
+        x_261 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_263 = torch.nn.functional.batch_norm(
+            x_262,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_262 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_264 = torch.nn.functional.silu(x_263, inplace=True)
+        x_263 = None
+        x_se_108 = x_264.mean((2, 3), keepdim=True)
+        x_se_109 = torch.conv2d(
+            x_se_108,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_108 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_110 = torch.nn.functional.silu(x_se_109, inplace=True)
+        x_se_109 = None
+        x_se_111 = torch.conv2d(
+            x_se_110,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_110 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_27 = torch.sigmoid(x_se_111)
+        x_se_111 = None
+        x_265 = x_264 * sigmoid_27
+        x_264 = sigmoid_27 = None
+        x_266 = torch.conv2d(
+            x_265,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_265 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_267 = torch.nn.functional.batch_norm(
+            x_266,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_266 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_268 = torch.conv2d(
+            x_267,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_269 = torch.nn.functional.batch_norm(
+            x_268,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_268 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_270 = torch.nn.functional.silu(x_269, inplace=True)
+        x_269 = None
+        x_271 = torch.conv2d(
+            x_270,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1824,
+        )
+        x_270 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_272 = torch.nn.functional.batch_norm(
+            x_271,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_271 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_273 = torch.nn.functional.silu(x_272, inplace=True)
+        x_272 = None
+        x_se_112 = x_273.mean((2, 3), keepdim=True)
+        x_se_113 = torch.conv2d(
+            x_se_112,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_112 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_114 = torch.nn.functional.silu(x_se_113, inplace=True)
+        x_se_113 = None
+        x_se_115 = torch.conv2d(
+            x_se_114,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_114 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_28 = torch.sigmoid(x_se_115)
+        x_se_115 = None
+        x_274 = x_273 * sigmoid_28
+        x_273 = sigmoid_28 = None
+        x_275 = torch.conv2d(
+            x_274,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_274 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_276 = torch.nn.functional.batch_norm(
+            x_275,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_275 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_277 = x_276 + x_267
+        x_276 = x_267 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_279 = torch.nn.functional.batch_norm(
+            x_278,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_278 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_280 = torch.nn.functional.silu(x_279, inplace=True)
+        x_279 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1824,
+        )
+        x_280 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_282 = torch.nn.functional.batch_norm(
+            x_281,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_281 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_283 = torch.nn.functional.silu(x_282, inplace=True)
+        x_282 = None
+        x_se_116 = x_283.mean((2, 3), keepdim=True)
+        x_se_117 = torch.conv2d(
+            x_se_116,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_116 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_118 = torch.nn.functional.silu(x_se_117, inplace=True)
+        x_se_117 = None
+        x_se_119 = torch.conv2d(
+            x_se_118,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_118 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_29 = torch.sigmoid(x_se_119)
+        x_se_119 = None
+        x_284 = x_283 * sigmoid_29
+        x_283 = sigmoid_29 = None
+        x_285 = torch.conv2d(
+            x_284,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_284 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_286 = torch.nn.functional.batch_norm(
+            x_285,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_285 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_287 = x_286 + x_277
+        x_286 = x_277 = None
+        x_288 = torch.conv2d(
+            x_287,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_289 = torch.nn.functional.batch_norm(
+            x_288,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_288 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_290 = torch.nn.functional.silu(x_289, inplace=True)
+        x_289 = None
+        x_291 = torch.conv2d(
+            x_290,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1824,
+        )
+        x_290 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_292 = torch.nn.functional.batch_norm(
+            x_291,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_291 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_293 = torch.nn.functional.silu(x_292, inplace=True)
+        x_292 = None
+        x_se_120 = x_293.mean((2, 3), keepdim=True)
+        x_se_121 = torch.conv2d(
+            x_se_120,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_120 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_122 = torch.nn.functional.silu(x_se_121, inplace=True)
+        x_se_121 = None
+        x_se_123 = torch.conv2d(
+            x_se_122,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_122 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_30 = torch.sigmoid(x_se_123)
+        x_se_123 = None
+        x_294 = x_293 * sigmoid_30
+        x_293 = sigmoid_30 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_296 = torch.nn.functional.batch_norm(
+            x_295,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_295 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_297 = x_296 + x_287
+        x_296 = x_287 = None
+        x_298 = torch.conv2d(
+            x_297,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_299 = torch.nn.functional.batch_norm(
+            x_298,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_298 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_300 = torch.nn.functional.silu(x_299, inplace=True)
+        x_299 = None
+        x_301 = torch.conv2d(
+            x_300,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1824,
+        )
+        x_300 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_302 = torch.nn.functional.batch_norm(
+            x_301,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_301 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_303 = torch.nn.functional.silu(x_302, inplace=True)
+        x_302 = None
+        x_se_124 = x_303.mean((2, 3), keepdim=True)
+        x_se_125 = torch.conv2d(
+            x_se_124,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_124 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_126 = torch.nn.functional.silu(x_se_125, inplace=True)
+        x_se_125 = None
+        x_se_127 = torch.conv2d(
+            x_se_126,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_126 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_31 = torch.sigmoid(x_se_127)
+        x_se_127 = None
+        x_304 = x_303 * sigmoid_31
+        x_303 = sigmoid_31 = None
+        x_305 = torch.conv2d(
+            x_304,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_304 = l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_306 = torch.nn.functional.batch_norm(
+            x_305,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_305 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_307 = x_306 + x_297
+        x_306 = x_297 = None
+        x_308 = torch.conv2d(
+            x_307,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_309 = torch.nn.functional.batch_norm(
+            x_308,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_308 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_310 = torch.nn.functional.silu(x_309, inplace=True)
+        x_309 = None
+        x_311 = torch.conv2d(
+            x_310,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1824,
+        )
+        x_310 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_312 = torch.nn.functional.batch_norm(
+            x_311,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_311 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_313 = torch.nn.functional.silu(x_312, inplace=True)
+        x_312 = None
+        x_se_128 = x_313.mean((2, 3), keepdim=True)
+        x_se_129 = torch.conv2d(
+            x_se_128,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_128 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_130 = torch.nn.functional.silu(x_se_129, inplace=True)
+        x_se_129 = None
+        x_se_131 = torch.conv2d(
+            x_se_130,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_130 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_32 = torch.sigmoid(x_se_131)
+        x_se_131 = None
+        x_314 = x_313 * sigmoid_32
+        x_313 = sigmoid_32 = None
+        x_315 = torch.conv2d(
+            x_314,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_314 = l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_316 = torch.nn.functional.batch_norm(
+            x_315,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_315 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_317 = x_316 + x_307
+        x_316 = x_307 = None
+        x_318 = torch.conv2d(
+            x_317,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_319 = torch.nn.functional.batch_norm(
+            x_318,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_318 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_320 = torch.nn.functional.silu(x_319, inplace=True)
+        x_319 = None
+        x_321 = torch.conv2d(
+            x_320,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1824,
+        )
+        x_320 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_322 = torch.nn.functional.batch_norm(
+            x_321,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_321 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_323 = torch.nn.functional.silu(x_322, inplace=True)
+        x_322 = None
+        x_se_132 = x_323.mean((2, 3), keepdim=True)
+        x_se_133 = torch.conv2d(
+            x_se_132,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_132 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_134 = torch.nn.functional.silu(x_se_133, inplace=True)
+        x_se_133 = None
+        x_se_135 = torch.conv2d(
+            x_se_134,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_134 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_33 = torch.sigmoid(x_se_135)
+        x_se_135 = None
+        x_324 = x_323 * sigmoid_33
+        x_323 = sigmoid_33 = None
+        x_325 = torch.conv2d(
+            x_324,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_324 = l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_326 = torch.nn.functional.batch_norm(
+            x_325,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_325 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_327 = x_326 + x_317
+        x_326 = x_317 = None
+        x_328 = torch.conv2d(
+            x_327,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_329 = torch.nn.functional.batch_norm(
+            x_328,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_328 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        ) = None
+        x_330 = torch.nn.functional.silu(x_329, inplace=True)
+        x_329 = None
+        x_331 = torch.conv2d(
+            x_330,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1824,
+        )
+        x_330 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        ) = None
+        x_332 = torch.nn.functional.batch_norm(
+            x_331,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_331 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        ) = None
+        x_333 = torch.nn.functional.silu(x_332, inplace=True)
+        x_332 = None
+        x_se_136 = x_333.mean((2, 3), keepdim=True)
+        x_se_137 = torch.conv2d(
+            x_se_136,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_136 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_138 = torch.nn.functional.silu(x_se_137, inplace=True)
+        x_se_137 = None
+        x_se_139 = torch.conv2d(
+            x_se_138,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_138 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_34 = torch.sigmoid(x_se_139)
+        x_se_139 = None
+        x_334 = x_333 * sigmoid_34
+        x_333 = sigmoid_34 = None
+        x_335 = torch.conv2d(
+            x_334,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_334 = l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = (None)
+        x_336 = torch.nn.functional.batch_norm(
+            x_335,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_335 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        ) = None
+        x_337 = x_336 + x_327
+        x_336 = x_327 = None
+        x_338 = torch.conv2d(
+            x_337,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_339 = torch.nn.functional.batch_norm(
+            x_338,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_338 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_
+        ) = None
+        x_340 = torch.nn.functional.silu(x_339, inplace=True)
+        x_339 = None
+        x_341 = torch.conv2d(
+            x_340,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1824,
+        )
+        x_340 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_
+        ) = None
+        x_342 = torch.nn.functional.batch_norm(
+            x_341,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_341 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_
+        ) = None
+        x_343 = torch.nn.functional.silu(x_342, inplace=True)
+        x_342 = None
+        x_se_140 = x_343.mean((2, 3), keepdim=True)
+        x_se_141 = torch.conv2d(
+            x_se_140,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_140 = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_142 = torch.nn.functional.silu(x_se_141, inplace=True)
+        x_se_141 = None
+        x_se_143 = torch.conv2d(
+            x_se_142,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_142 = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_35 = torch.sigmoid(x_se_143)
+        x_se_143 = None
+        x_344 = x_343 * sigmoid_35
+        x_343 = sigmoid_35 = None
+        x_345 = torch.conv2d(
+            x_344,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_344 = l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_ = (None)
+        x_346 = torch.nn.functional.batch_norm(
+            x_345,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_345 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_
+        ) = None
+        x_347 = x_346 + x_337
+        x_346 = x_337 = None
+        x_348 = torch.conv2d(
+            x_347,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_347 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_349 = torch.nn.functional.batch_norm(
+            x_348,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_348 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_350 = torch.nn.functional.silu(x_349, inplace=True)
+        x_349 = None
+        x_351 = torch.conv2d(
+            x_350,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1824,
+        )
+        x_350 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_352 = torch.nn.functional.batch_norm(
+            x_351,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_351 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_353 = torch.nn.functional.silu(x_352, inplace=True)
+        x_352 = None
+        x_se_144 = x_353.mean((2, 3), keepdim=True)
+        x_se_145 = torch.conv2d(
+            x_se_144,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_144 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_146 = torch.nn.functional.silu(x_se_145, inplace=True)
+        x_se_145 = None
+        x_se_147 = torch.conv2d(
+            x_se_146,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_146 = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_36 = torch.sigmoid(x_se_147)
+        x_se_147 = None
+        x_354 = x_353 * sigmoid_36
+        x_353 = sigmoid_36 = None
+        x_355 = torch.conv2d(
+            x_354,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_354 = l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_356 = torch.nn.functional.batch_norm(
+            x_355,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_355 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_357 = torch.conv2d(
+            x_356,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_358 = torch.nn.functional.batch_norm(
+            x_357,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_357 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_359 = torch.nn.functional.silu(x_358, inplace=True)
+        x_358 = None
+        x_360 = torch.conv2d(
+            x_359,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            3072,
+        )
+        x_359 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_361 = torch.nn.functional.batch_norm(
+            x_360,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_360 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_362 = torch.nn.functional.silu(x_361, inplace=True)
+        x_361 = None
+        x_se_148 = x_362.mean((2, 3), keepdim=True)
+        x_se_149 = torch.conv2d(
+            x_se_148,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_148 = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_150 = torch.nn.functional.silu(x_se_149, inplace=True)
+        x_se_149 = None
+        x_se_151 = torch.conv2d(
+            x_se_150,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_150 = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_37 = torch.sigmoid(x_se_151)
+        x_se_151 = None
+        x_363 = x_362 * sigmoid_37
+        x_362 = sigmoid_37 = None
+        x_364 = torch.conv2d(
+            x_363,
+            l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_363 = l_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_365 = torch.nn.functional.batch_norm(
+            x_364,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_364 = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_366 = x_365 + x_356
+        x_365 = x_356 = None
+        x_367 = torch.conv2d(
+            x_366,
+            l_self_modules_blocks_modules_6_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_368 = torch.nn.functional.batch_norm(
+            x_367,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_367 = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_369 = torch.nn.functional.silu(x_368, inplace=True)
+        x_368 = None
+        x_370 = torch.conv2d(
+            x_369,
+            l_self_modules_blocks_modules_6_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            3072,
+        )
+        x_369 = (
+            l_self_modules_blocks_modules_6_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_371 = torch.nn.functional.batch_norm(
+            x_370,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_370 = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_372 = torch.nn.functional.silu(x_371, inplace=True)
+        x_371 = None
+        x_se_152 = x_372.mean((2, 3), keepdim=True)
+        x_se_153 = torch.conv2d(
+            x_se_152,
+            l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_152 = l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_154 = torch.nn.functional.silu(x_se_153, inplace=True)
+        x_se_153 = None
+        x_se_155 = torch.conv2d(
+            x_se_154,
+            l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_154 = l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_38 = torch.sigmoid(x_se_155)
+        x_se_155 = None
+        x_373 = x_372 * sigmoid_38
+        x_372 = sigmoid_38 = None
+        x_374 = torch.conv2d(
+            x_373,
+            l_self_modules_blocks_modules_6_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_373 = l_self_modules_blocks_modules_6_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_375 = torch.nn.functional.batch_norm(
+            x_374,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_374 = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_376 = x_375 + x_366
+        x_375 = x_366 = None
+        x_377 = torch.conv2d(
+            x_376,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_376 = l_self_modules_conv_head_parameters_weight_ = None
+        x_378 = torch.nn.functional.batch_norm(
+            x_377,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_377 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_379 = torch.nn.functional.silu(x_378, inplace=True)
+        x_378 = None
+        x_380 = torch.nn.functional.adaptive_avg_pool2d(x_379, 1)
+        x_379 = None
+        x_381 = x_380.flatten(1, -1)
+        x_380 = None
+        x_382 = torch._C._nn.linear(
+            x_381,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_381 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_382,)
diff --git a/samples/timm/efficientnet_b5.sw_in12k/weight_meta.py b/samples/timm/efficientnet_b5.sw_in12k/weight_meta.py
new file mode 100644
index 000000000..d189feb21
--- /dev/null
+++ b/samples/timm/efficientnet_b5.sw_in12k/weight_meta.py
@@ -0,0 +1,7626 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [48, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.219
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.014
+    std = 0.485
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [12, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.438
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [48, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.207
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.012
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [24, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.457
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.017
+    std = 0.597
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [24, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.272
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [24, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.019
+    std = 0.515
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.031
+    std = 0.487
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [24, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.018
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.301
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.117
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.462
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.027
+    std = 0.579
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [6]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.116
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [10, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.455
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.015
+    std = 0.467
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [10, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.439
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.225
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.479
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [10, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.011
+    std = 0.455
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.457
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [10, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.450
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [10, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.445
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [10]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 10, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.174
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.356
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [384, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.355
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [384, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.071
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.354
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [384, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.350
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [384, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.352
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [384, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.478
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.480
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.248
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.479
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.252
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1056, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1056, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [44, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.212
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [44]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1056, 44, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1056, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1056, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [44, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.213
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [44]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1056, 44, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1056, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1056, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [44, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.213
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [44]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1056, 44, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1056, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1056, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [44, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.212
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [44]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1056, 44, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.106
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1056, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1056, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [44, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.214
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [44]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1056, 44, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.106
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1056, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1056, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [44, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.213
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [44]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1056, 44, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1056, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1056, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [44, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.213
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [44]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1056, 44, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1056]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [304, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1824, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1824, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [76, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.163
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [76]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1824, 76, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [304, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1824, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1824, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [76, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.162
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [76]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1824, 76, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [304, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1824, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1824, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [76, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.162
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [76]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1824, 76, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [304, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1824, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1824, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [76, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.162
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [76]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1824, 76, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [304, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1824, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1824, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [76, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.162
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [76]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1824, 76, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [304, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1824, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1824, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [76, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.162
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [76]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1824, 76, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [304, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1824, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1824, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [76, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.162
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [76]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1824, 76, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [304, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1824, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1824, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [76, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.162
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [76]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1824, 76, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [304, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_"
+    shape = [304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1824, 304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1824, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [76, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.162
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [76]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1824, 76, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1824]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [512, 1824, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [3072, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_buffers_running_var_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_weight_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [3072, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_buffers_running_var_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_weight_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn2_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [128, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [3072, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [512, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [3072, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn1_buffers_running_var_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_weight_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [3072, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn2_buffers_running_var_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_weight_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn2_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [128, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [3072, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [512, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn3_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_bn3_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [11821, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [11821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnet_el.ra_in1k/graph_hash.txt b/samples/timm/efficientnet_el.ra_in1k/graph_hash.txt
new file mode 100644
index 000000000..2a5caa7eb
--- /dev/null
+++ b/samples/timm/efficientnet_el.ra_in1k/graph_hash.txt
@@ -0,0 +1 @@
+1eb89be3330fbf2caf37fb43aeb4a882dcfed852c1ad9f8156efb62fc191c2ba
\ No newline at end of file
diff --git a/samples/timm/efficientnet_el.ra_in1k/graph_net.json b/samples/timm/efficientnet_el.ra_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnet_el.ra_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnet_el.ra_in1k/input_meta.py b/samples/timm/efficientnet_el.ra_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_el.ra_in1k/input_tensor_constraints.py b/samples/timm/efficientnet_el.ra_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_el.ra_in1k/model.py b/samples/timm/efficientnet_el.ra_in1k/model.py
new file mode 100644
index 000000000..8c83187ca
--- /dev/null
+++ b/samples/timm/efficientnet_el.ra_in1k/model.py
@@ -0,0 +1,3679 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_5_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_5_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_5_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_5_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_7 = l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = torch.conv2d(
+            x_12,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_12 = l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_14 = torch.nn.functional.batch_norm(
+            x_13,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_13 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_15 = torch.nn.functional.relu(x_14, inplace=True)
+        x_14 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_23 = x_22 + x_17
+        x_22 = x_17 = None
+        x_24 = torch.conv2d(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_26 = torch.nn.functional.relu(x_25, inplace=True)
+        x_25 = None
+        x_27 = torch.conv2d(
+            x_26,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_28 = torch.nn.functional.batch_norm(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_29 = x_28 + x_23
+        x_28 = x_23 = None
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_29 = l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_33 = torch.conv2d(
+            x_32,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_34 = torch.nn.functional.batch_norm(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_33 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_37 = torch.nn.functional.relu(x_36, inplace=True)
+        x_36 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_37 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_40 = x_39 + x_34
+        x_39 = x_34 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_42 = torch.nn.functional.batch_norm(
+            x_41,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_41 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_43 = torch.nn.functional.relu(x_42, inplace=True)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_46 = x_45 + x_40
+        x_45 = x_40 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_49 = torch.nn.functional.relu(x_48, inplace=True)
+        x_48 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_52 = x_51 + x_46
+        x_51 = x_46 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.relu(x_54, inplace=True)
+        x_54 = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_55 = l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_58 = x_57 + x_52
+        x_57 = x_52 = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_blocks_modules_2_modules_5_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_5_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_60 = torch.nn.functional.batch_norm(
+            x_59,
+            l_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.relu(x_60, inplace=True)
+        x_60 = None
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_blocks_modules_2_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_61 = l_self_modules_blocks_modules_2_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = (
+            l_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_64 = x_63 + x_58
+        x_63 = x_58 = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_65 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_67 = torch.nn.functional.relu(x_66, inplace=True)
+        x_66 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            448,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_70 = torch.nn.functional.relu(x_69, inplace=True)
+        x_69 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_72 = torch.nn.functional.batch_norm(
+            x_71,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_75 = torch.nn.functional.relu(x_74, inplace=True)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            896,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_78 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_81 = x_80 + x_72
+        x_80 = x_72 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_84 = torch.nn.functional.relu(x_83, inplace=True)
+        x_83 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            896,
+        )
+        x_84 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_86 = torch.nn.functional.batch_norm(
+            x_85,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.relu(x_86, inplace=True)
+        x_86 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_87 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_90 = x_89 + x_81
+        x_89 = x_81 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_93 = torch.nn.functional.relu(x_92, inplace=True)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            896,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_99 = x_98 + x_90
+        x_98 = x_90 = None
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_102 = torch.nn.functional.relu(x_101, inplace=True)
+        x_101 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            896,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_105 = torch.nn.functional.relu(x_104, inplace=True)
+        x_104 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_105 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_108 = x_107 + x_99
+        x_107 = x_99 = None
+        x_109 = torch.conv2d(
+            x_108,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_110 = torch.nn.functional.batch_norm(
+            x_109,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_111 = torch.nn.functional.relu(x_110, inplace=True)
+        x_110 = None
+        x_112 = torch.conv2d(
+            x_111,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            896,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_113 = torch.nn.functional.batch_norm(
+            x_112,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_114 = torch.nn.functional.relu(x_113, inplace=True)
+        x_113 = None
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_114 = l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_116 = torch.nn.functional.batch_norm(
+            x_115,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_117 = x_116 + x_108
+        x_116 = x_108 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_119 = torch.nn.functional.batch_norm(
+            x_118,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_120 = torch.nn.functional.relu(x_119, inplace=True)
+        x_119 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            896,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_123 = torch.nn.functional.relu(x_122, inplace=True)
+        x_122 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_123 = l_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_126 = x_125 + x_117
+        x_125 = x_117 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_129 = torch.nn.functional.relu(x_128, inplace=True)
+        x_128 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            896,
+        )
+        x_129 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_132 = torch.nn.functional.relu(x_131, inplace=True)
+        x_131 = None
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_132 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_134 = torch.nn.functional.batch_norm(
+            x_133,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_137 = torch.nn.functional.relu(x_136, inplace=True)
+        x_136 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        x_137 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_143 = x_142 + x_134
+        x_142 = x_134 = None
+        x_144 = torch.conv2d(
+            x_143,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_145 = torch.nn.functional.batch_norm(
+            x_144,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_146 = torch.nn.functional.relu(x_145, inplace=True)
+        x_145 = None
+        x_147 = torch.conv2d(
+            x_146,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        x_146 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_148 = torch.nn.functional.batch_norm(
+            x_147,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_147 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_149 = torch.nn.functional.relu(x_148, inplace=True)
+        x_148 = None
+        x_150 = torch.conv2d(
+            x_149,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_149 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_151 = torch.nn.functional.batch_norm(
+            x_150,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_152 = x_151 + x_143
+        x_151 = x_143 = None
+        x_153 = torch.conv2d(
+            x_152,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_154 = torch.nn.functional.batch_norm(
+            x_153,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_153 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_155 = torch.nn.functional.relu(x_154, inplace=True)
+        x_154 = None
+        x_156 = torch.conv2d(
+            x_155,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_157 = torch.nn.functional.batch_norm(
+            x_156,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_156 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_158 = torch.nn.functional.relu(x_157, inplace=True)
+        x_157 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_160 = torch.nn.functional.batch_norm(
+            x_159,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_159 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_161 = x_160 + x_152
+        x_160 = x_152 = None
+        x_162 = torch.conv2d(
+            x_161,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_163 = torch.nn.functional.batch_norm(
+            x_162,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_164 = torch.nn.functional.relu(x_163, inplace=True)
+        x_163 = None
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        x_164 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_166 = torch.nn.functional.batch_norm(
+            x_165,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_165 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_167 = torch.nn.functional.relu(x_166, inplace=True)
+        x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_167 = l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_170 = x_169 + x_161
+        x_169 = x_161 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_173 = torch.nn.functional.relu(x_172, inplace=True)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        x_173 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_176 = torch.nn.functional.relu(x_175, inplace=True)
+        x_175 = None
+        x_177 = torch.conv2d(
+            x_176,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_176 = l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_178 = torch.nn.functional.batch_norm(
+            x_177,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_177 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_179 = x_178 + x_170
+        x_178 = x_170 = None
+        x_180 = torch.conv2d(
+            x_179,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_179 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_181 = torch.nn.functional.batch_norm(
+            x_180,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_180 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_182 = torch.nn.functional.relu(x_181, inplace=True)
+        x_181 = None
+        x_183 = torch.conv2d(
+            x_182,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        x_182 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_184 = torch.nn.functional.batch_norm(
+            x_183,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_183 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_185 = torch.nn.functional.relu(x_184, inplace=True)
+        x_184 = None
+        x_186 = torch.conv2d(
+            x_185,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_185 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_187 = torch.nn.functional.batch_norm(
+            x_186,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_186 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_189 = torch.nn.functional.batch_norm(
+            x_188,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_188 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_190 = torch.nn.functional.relu(x_189, inplace=True)
+        x_189 = None
+        x_191 = torch.conv2d(
+            x_190,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1856,
+        )
+        x_190 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_192 = torch.nn.functional.batch_norm(
+            x_191,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_191 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_193 = torch.nn.functional.relu(x_192, inplace=True)
+        x_192 = None
+        x_194 = torch.conv2d(
+            x_193,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_193 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_195 = torch.nn.functional.batch_norm(
+            x_194,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_194 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_196 = x_195 + x_187
+        x_195 = x_187 = None
+        x_197 = torch.conv2d(
+            x_196,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_198 = torch.nn.functional.batch_norm(
+            x_197,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_197 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_199 = torch.nn.functional.relu(x_198, inplace=True)
+        x_198 = None
+        x_200 = torch.conv2d(
+            x_199,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1856,
+        )
+        x_199 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_201 = torch.nn.functional.batch_norm(
+            x_200,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_200 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_202 = torch.nn.functional.relu(x_201, inplace=True)
+        x_201 = None
+        x_203 = torch.conv2d(
+            x_202,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_202 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_204 = torch.nn.functional.batch_norm(
+            x_203,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_203 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_205 = x_204 + x_196
+        x_204 = x_196 = None
+        x_206 = torch.conv2d(
+            x_205,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_205 = l_self_modules_conv_head_parameters_weight_ = None
+        x_207 = torch.nn.functional.batch_norm(
+            x_206,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_206 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_208 = torch.nn.functional.relu(x_207, inplace=True)
+        x_207 = None
+        x_209 = torch.nn.functional.adaptive_avg_pool2d(x_208, 1)
+        x_208 = None
+        x_210 = x_209.flatten(1, -1)
+        x_209 = None
+        x_211 = torch._C._nn.linear(
+            x_210,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_210 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_211,)
diff --git a/samples/timm/efficientnet_el.ra_in1k/weight_meta.py b/samples/timm/efficientnet_el.ra_in1k/weight_meta.py
new file mode 100644
index 000000000..5fb187eba
--- /dev/null
+++ b/samples/timm/efficientnet_el.ra_in1k/weight_meta.py
@@ -0,0 +1,3778 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [40, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.220
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [128, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.247
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [128, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [256, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [320, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [320, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [320, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [448, 56, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [448, 56, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.188
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_"
+    )
+    shape = [448, 56, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_"
+    )
+    shape = [448, 56, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.188
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_5_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_5_modules_conv_exp_parameters_weight_"
+    )
+    shape = [448, 56, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_5_modules_bn1_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_5_modules_bn1_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_5_modules_bn2_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_5_modules_bn2_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [448, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [448, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [896, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [896, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [896, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [896, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [896, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [896, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [896, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [896, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [896, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [896, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [896, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [896, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [896, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [896, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [896]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1408, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1408, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1408, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1408, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1408, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [176, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.106
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_"
+    shape = [176]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1408, 176, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [232, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1856, 232, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1856, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [232, 1856, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1856, 232, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1856, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1856]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [232, 1856, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [232]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1536, 232, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnet_em.ra2_in1k/graph_hash.txt b/samples/timm/efficientnet_em.ra2_in1k/graph_hash.txt
new file mode 100644
index 000000000..64e6fa334
--- /dev/null
+++ b/samples/timm/efficientnet_em.ra2_in1k/graph_hash.txt
@@ -0,0 +1 @@
+8e2643f8ec9d1578b3bade15c522a86e6a60f367a305b4a4c648551e591eefe6
\ No newline at end of file
diff --git a/samples/timm/efficientnet_em.ra2_in1k/graph_net.json b/samples/timm/efficientnet_em.ra2_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnet_em.ra2_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnet_em.ra2_in1k/input_meta.py b/samples/timm/efficientnet_em.ra2_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_em.ra2_in1k/input_tensor_constraints.py b/samples/timm/efficientnet_em.ra2_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_em.ra2_in1k/model.py b/samples/timm/efficientnet_em.ra2_in1k/model.py
new file mode 100644
index 000000000..aadeeed24
--- /dev/null
+++ b/samples/timm/efficientnet_em.ra2_in1k/model.py
@@ -0,0 +1,3269 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
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+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_7 = l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = torch.conv2d(
+            x_12,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_12 = l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_14 = torch.nn.functional.batch_norm(
+            x_13,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_13 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_15 = torch.nn.functional.relu(x_14, inplace=True)
+        x_14 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_23 = x_22 + x_17
+        x_22 = x_17 = None
+        x_24 = torch.conv2d(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_26 = torch.nn.functional.relu(x_25, inplace=True)
+        x_25 = None
+        x_27 = torch.conv2d(
+            x_26,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_28 = torch.nn.functional.batch_norm(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_29 = x_28 + x_23
+        x_28 = x_23 = None
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_29 = l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_33 = torch.conv2d(
+            x_32,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_34 = torch.nn.functional.batch_norm(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_33 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_37 = torch.nn.functional.relu(x_36, inplace=True)
+        x_36 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_37 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_40 = x_39 + x_34
+        x_39 = x_34 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_42 = torch.nn.functional.batch_norm(
+            x_41,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_41 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_43 = torch.nn.functional.relu(x_42, inplace=True)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_46 = x_45 + x_40
+        x_45 = x_40 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_49 = torch.nn.functional.relu(x_48, inplace=True)
+        x_48 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_52 = x_51 + x_46
+        x_51 = x_46 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.relu(x_54, inplace=True)
+        x_54 = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_55 = l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_58 = x_57 + x_52
+        x_57 = x_52 = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_60 = torch.nn.functional.batch_norm(
+            x_59,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.relu(x_60, inplace=True)
+        x_60 = None
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_64 = torch.nn.functional.relu(x_63, inplace=True)
+        x_63 = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_65 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_69 = torch.nn.functional.relu(x_68, inplace=True)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_69 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_72 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_72 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_75 = x_74 + x_66
+        x_74 = x_66 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_78 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_78 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.relu(x_80, inplace=True)
+        x_80 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_81 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_84 = x_83 + x_75
+        x_83 = x_75 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_86 = torch.nn.functional.batch_norm(
+            x_85,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.relu(x_86, inplace=True)
+        x_86 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_90 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_93 = x_92 + x_84
+        x_92 = x_84 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_99 = torch.nn.functional.relu(x_98, inplace=True)
+        x_98 = None
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_99 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_102 = x_101 + x_93
+        x_101 = x_93 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_105 = torch.nn.functional.relu(x_104, inplace=True)
+        x_104 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.relu(x_107, inplace=True)
+        x_107 = None
+        x_109 = torch.conv2d(
+            x_108,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_108 = l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_110 = torch.nn.functional.batch_norm(
+            x_109,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_111 = x_110 + x_102
+        x_110 = x_102 = None
+        x_112 = torch.conv2d(
+            x_111,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_113 = torch.nn.functional.batch_norm(
+            x_112,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_114 = torch.nn.functional.relu(x_113, inplace=True)
+        x_113 = None
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_114 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_116 = torch.nn.functional.batch_norm(
+            x_115,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_117 = torch.nn.functional.relu(x_116, inplace=True)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_119 = torch.nn.functional.batch_norm(
+            x_118,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_121 = torch.nn.functional.batch_norm(
+            x_120,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_122 = torch.nn.functional.relu(x_121, inplace=True)
+        x_121 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_125 = torch.nn.functional.relu(x_124, inplace=True)
+        x_124 = None
+        x_126 = torch.conv2d(
+            x_125,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_125 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_127 = torch.nn.functional.batch_norm(
+            x_126,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_128 = x_127 + x_119
+        x_127 = x_119 = None
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_130 = torch.nn.functional.batch_norm(
+            x_129,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_129 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_131 = torch.nn.functional.relu(x_130, inplace=True)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_133 = torch.nn.functional.batch_norm(
+            x_132,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_137 = x_136 + x_128
+        x_136 = x_128 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_143 = torch.nn.functional.relu(x_142, inplace=True)
+        x_142 = None
+        x_144 = torch.conv2d(
+            x_143,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_143 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_145 = torch.nn.functional.batch_norm(
+            x_144,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_146 = x_145 + x_137
+        x_145 = x_137 = None
+        x_147 = torch.conv2d(
+            x_146,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_148 = torch.nn.functional.batch_norm(
+            x_147,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_147 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_149 = torch.nn.functional.relu(x_148, inplace=True)
+        x_148 = None
+        x_150 = torch.conv2d(
+            x_149,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_149 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_151 = torch.nn.functional.batch_norm(
+            x_150,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_152 = torch.nn.functional.relu(x_151, inplace=True)
+        x_151 = None
+        x_153 = torch.conv2d(
+            x_152,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_152 = l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_154 = torch.nn.functional.batch_norm(
+            x_153,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_153 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_155 = x_154 + x_146
+        x_154 = x_146 = None
+        x_156 = torch.conv2d(
+            x_155,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_157 = torch.nn.functional.batch_norm(
+            x_156,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_156 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_158 = torch.nn.functional.relu(x_157, inplace=True)
+        x_157 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_158 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_160 = torch.nn.functional.batch_norm(
+            x_159,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_159 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_161 = torch.nn.functional.relu(x_160, inplace=True)
+        x_160 = None
+        x_162 = torch.conv2d(
+            x_161,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_161 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_163 = torch.nn.functional.batch_norm(
+            x_162,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_164 = torch.conv2d(
+            x_163,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_165 = torch.nn.functional.batch_norm(
+            x_164,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_164 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_166 = torch.nn.functional.relu(x_165, inplace=True)
+        x_165 = None
+        x_167 = torch.conv2d(
+            x_166,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1536,
+        )
+        x_166 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_168 = torch.nn.functional.batch_norm(
+            x_167,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_167 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_169 = torch.nn.functional.relu(x_168, inplace=True)
+        x_168 = None
+        x_170 = torch.conv2d(
+            x_169,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_169 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_171 = torch.nn.functional.batch_norm(
+            x_170,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_170 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_172 = x_171 + x_163
+        x_171 = x_163 = None
+        x_173 = torch.conv2d(
+            x_172,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_174 = torch.nn.functional.batch_norm(
+            x_173,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_173 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_175 = torch.nn.functional.relu(x_174, inplace=True)
+        x_174 = None
+        x_176 = torch.conv2d(
+            x_175,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1536,
+        )
+        x_175 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_177 = torch.nn.functional.batch_norm(
+            x_176,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_176 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_178 = torch.nn.functional.relu(x_177, inplace=True)
+        x_177 = None
+        x_179 = torch.conv2d(
+            x_178,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_178 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_180 = torch.nn.functional.batch_norm(
+            x_179,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_179 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_181 = x_180 + x_172
+        x_180 = x_172 = None
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_181 = l_self_modules_conv_head_parameters_weight_ = None
+        x_183 = torch.nn.functional.batch_norm(
+            x_182,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_182 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_184 = torch.nn.functional.relu(x_183, inplace=True)
+        x_183 = None
+        x_185 = torch.nn.functional.adaptive_avg_pool2d(x_184, 1)
+        x_184 = None
+        x_186 = x_185.flatten(1, -1)
+        x_185 = None
+        x_187 = torch._C._nn.linear(
+            x_186,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_186 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_187,)
diff --git a/samples/timm/efficientnet_em.ra2_in1k/weight_meta.py b/samples/timm/efficientnet_em.ra2_in1k/weight_meta.py
new file mode 100644
index 000000000..049e7ab49
--- /dev/null
+++ b/samples/timm/efficientnet_em.ra2_in1k/weight_meta.py
@@ -0,0 +1,3362 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.085
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [96, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [96, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.291
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [192, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.248
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [256, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [256, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.251
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [256, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.206
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [384, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [384, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_"
+    )
+    shape = [384, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_"
+    )
+    shape = [384, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [144, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [144, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [144, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [144, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [144, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1536, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1536, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1536, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1536, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnet_es.ra_in1k/graph_hash.txt b/samples/timm/efficientnet_es.ra_in1k/graph_hash.txt
new file mode 100644
index 000000000..ab5da9663
--- /dev/null
+++ b/samples/timm/efficientnet_es.ra_in1k/graph_hash.txt
@@ -0,0 +1 @@
+31b75c34a405a4275f705d2c0972100e00c21c2b730381814411abbd796627f0
\ No newline at end of file
diff --git a/samples/timm/efficientnet_es.ra_in1k/graph_net.json b/samples/timm/efficientnet_es.ra_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnet_es.ra_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnet_es.ra_in1k/input_meta.py b/samples/timm/efficientnet_es.ra_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_es.ra_in1k/input_tensor_constraints.py b/samples/timm/efficientnet_es.ra_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_es.ra_in1k/model.py b/samples/timm/efficientnet_es.ra_in1k/model.py
new file mode 100644
index 000000000..579d08109
--- /dev/null
+++ b/samples/timm/efficientnet_es.ra_in1k/model.py
@@ -0,0 +1,2508 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_7 = l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = torch.conv2d(
+            x_12,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_14 = torch.nn.functional.batch_norm(
+            x_13,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_13 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_15 = torch.nn.functional.relu(x_14, inplace=True)
+        x_14 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_18 = x_17 + x_12
+        x_17 = x_12 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_18 = l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_21 = torch.nn.functional.relu(x_20, inplace=True)
+        x_20 = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_24 = torch.conv2d(
+            x_23,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_26 = torch.nn.functional.relu(x_25, inplace=True)
+        x_25 = None
+        x_27 = torch.conv2d(
+            x_26,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_28 = torch.nn.functional.batch_norm(
+            x_27,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_29 = x_28 + x_23
+        x_28 = x_23 = None
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_33 = torch.conv2d(
+            x_32,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_34 = torch.nn.functional.batch_norm(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_33 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_35 = x_34 + x_29
+        x_34 = x_29 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_41 = x_40 + x_35
+        x_40 = x_35 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_44 = torch.nn.functional.relu(x_43, inplace=True)
+        x_43 = None
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_47 = torch.nn.functional.relu(x_46, inplace=True)
+        x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_47 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_52 = torch.nn.functional.relu(x_51, inplace=True)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.relu(x_54, inplace=True)
+        x_54 = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_55 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_58 = x_57 + x_49
+        x_57 = x_49 = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_60 = torch.nn.functional.batch_norm(
+            x_59,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.relu(x_60, inplace=True)
+        x_60 = None
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_64 = torch.nn.functional.relu(x_63, inplace=True)
+        x_63 = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_65 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_67 = x_66 + x_58
+        x_66 = x_58 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_70 = torch.nn.functional.relu(x_69, inplace=True)
+        x_69 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_72 = torch.nn.functional.batch_norm(
+            x_71,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_73 = torch.nn.functional.relu(x_72, inplace=True)
+        x_72 = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_73 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_76 = x_75 + x_67
+        x_75 = x_67 = None
+        x_77 = torch.conv2d(
+            x_76,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_78 = torch.nn.functional.batch_norm(
+            x_77,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_77 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_79 = torch.nn.functional.relu(x_78, inplace=True)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_85 = x_84 + x_76
+        x_84 = x_76 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_88 = torch.nn.functional.relu(x_87, inplace=True)
+        x_87 = None
+        x_89 = torch.conv2d(
+            x_88,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_91 = torch.nn.functional.relu(x_90, inplace=True)
+        x_90 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_91 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_99 = torch.nn.functional.relu(x_98, inplace=True)
+        x_98 = None
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_99 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_102 = x_101 + x_93
+        x_101 = x_93 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_105 = torch.nn.functional.relu(x_104, inplace=True)
+        x_104 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.relu(x_107, inplace=True)
+        x_107 = None
+        x_109 = torch.conv2d(
+            x_108,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_108 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_110 = torch.nn.functional.batch_norm(
+            x_109,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_111 = x_110 + x_102
+        x_110 = x_102 = None
+        x_112 = torch.conv2d(
+            x_111,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_113 = torch.nn.functional.batch_norm(
+            x_112,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_114 = torch.nn.functional.relu(x_113, inplace=True)
+        x_113 = None
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_114 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_116 = torch.nn.functional.batch_norm(
+            x_115,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_117 = torch.nn.functional.relu(x_116, inplace=True)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_119 = torch.nn.functional.batch_norm(
+            x_118,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_120 = x_119 + x_111
+        x_119 = x_111 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_123 = torch.nn.functional.relu(x_122, inplace=True)
+        x_122 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.relu(x_125, inplace=True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_130 = torch.nn.functional.batch_norm(
+            x_129,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_129 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_131 = torch.nn.functional.relu(x_130, inplace=True)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1536,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_133 = torch.nn.functional.batch_norm(
+            x_132,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_137 = x_136 + x_128
+        x_136 = x_128 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_137 = l_self_modules_conv_head_parameters_weight_ = None
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_141 = torch.nn.functional.adaptive_avg_pool2d(x_140, 1)
+        x_140 = None
+        x_142 = x_141.flatten(1, -1)
+        x_141 = None
+        x_143 = torch._C._nn.linear(
+            x_142,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_142 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_143,)
diff --git a/samples/timm/efficientnet_es.ra_in1k/weight_meta.py b/samples/timm/efficientnet_es.ra_in1k/weight_meta.py
new file mode 100644
index 000000000..4946f4212
--- /dev/null
+++ b/samples/timm/efficientnet_es.ra_in1k/weight_meta.py
@@ -0,0 +1,2582 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [96, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [192, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [256, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [256, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [384, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [384, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_"
+    )
+    shape = [384, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.202
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.278
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [96, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [144, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [144, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [144, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [144, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1536, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1536, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnet_lite0.ra_in1k/graph_hash.txt b/samples/timm/efficientnet_lite0.ra_in1k/graph_hash.txt
new file mode 100644
index 000000000..1e1228669
--- /dev/null
+++ b/samples/timm/efficientnet_lite0.ra_in1k/graph_hash.txt
@@ -0,0 +1 @@
+1cdac5ee3163de7bb428215235697b6dcff12d4b5c28c77202d324d646593147
\ No newline at end of file
diff --git a/samples/timm/efficientnet_lite0.ra_in1k/graph_net.json b/samples/timm/efficientnet_lite0.ra_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnet_lite0.ra_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnet_lite0.ra_in1k/input_meta.py b/samples/timm/efficientnet_lite0.ra_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_lite0.ra_in1k/input_tensor_constraints.py b/samples/timm/efficientnet_lite0.ra_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnet_lite0.ra_in1k/model.py b/samples/timm/efficientnet_lite0.ra_in1k/model.py
new file mode 100644
index 000000000..5621ec2b2
--- /dev/null
+++ b/samples/timm/efficientnet_lite0.ra_in1k/model.py
@@ -0,0 +1,2538 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.hardtanh(x_1, 0.0, 6.0, True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.hardtanh(x_4, 0.0, 6.0, True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.hardtanh(x_9, 0.0, 6.0, True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        x_10 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = torch.nn.functional.hardtanh(x_12, 0.0, 6.0, True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.hardtanh(x_17, 0.0, 6.0, True)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            144,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_21 = torch.nn.functional.hardtanh(x_20, 0.0, 6.0, True)
+        x_20 = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_24 = x_23 + x_15
+        x_23 = x_15 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_27 = torch.nn.functional.hardtanh(x_26, 0.0, 6.0, True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            144,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_30 = torch.nn.functional.hardtanh(x_29, 0.0, 6.0, True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_33 = torch.conv2d(
+            x_32,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_34 = torch.nn.functional.batch_norm(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_33 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_35 = torch.nn.functional.hardtanh(x_34, 0.0, 6.0, True)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            240,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_38 = torch.nn.functional.hardtanh(x_37, 0.0, 6.0, True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_41 = x_40 + x_32
+        x_40 = x_32 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_44 = torch.nn.functional.hardtanh(x_43, 0.0, 6.0, True)
+        x_43 = None
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_47 = torch.nn.functional.hardtanh(x_46, 0.0, 6.0, True)
+        x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_47 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_52 = torch.nn.functional.hardtanh(x_51, 0.0, 6.0, True)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.hardtanh(x_54, 0.0, 6.0, True)
+        x_54 = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_55 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_58 = x_57 + x_49
+        x_57 = x_49 = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_60 = torch.nn.functional.batch_norm(
+            x_59,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.hardtanh(x_60, 0.0, 6.0, True)
+        x_60 = None
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_64 = torch.nn.functional.hardtanh(x_63, 0.0, 6.0, True)
+        x_63 = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_65 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_67 = x_66 + x_58
+        x_66 = x_58 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_70 = torch.nn.functional.hardtanh(x_69, 0.0, 6.0, True)
+        x_69 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_72 = torch.nn.functional.batch_norm(
+            x_71,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_73 = torch.nn.functional.hardtanh(x_72, 0.0, 6.0, True)
+        x_72 = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_73 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_78 = torch.nn.functional.hardtanh(x_77, 0.0, 6.0, True)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_78 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.hardtanh(x_80, 0.0, 6.0, True)
+        x_80 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_81 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_84 = x_83 + x_75
+        x_83 = x_75 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_86 = torch.nn.functional.batch_norm(
+            x_85,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.hardtanh(x_86, 0.0, 6.0, True)
+        x_86 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_90 = torch.nn.functional.hardtanh(x_89, 0.0, 6.0, True)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_90 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_93 = x_92 + x_84
+        x_92 = x_84 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_96 = torch.nn.functional.hardtanh(x_95, 0.0, 6.0, True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_99 = torch.nn.functional.hardtanh(x_98, 0.0, 6.0, True)
+        x_98 = None
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_99 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_104 = torch.nn.functional.hardtanh(x_103, 0.0, 6.0, True)
+        x_103 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_104 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_107 = torch.nn.functional.hardtanh(x_106, 0.0, 6.0, True)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_110 = x_109 + x_101
+        x_109 = x_101 = None
+        x_111 = torch.conv2d(
+            x_110,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_112 = torch.nn.functional.batch_norm(
+            x_111,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_113 = torch.nn.functional.hardtanh(x_112, 0.0, 6.0, True)
+        x_112 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_116 = torch.nn.functional.hardtanh(x_115, 0.0, 6.0, True)
+        x_115 = None
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_116 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_119 = x_118 + x_110
+        x_118 = x_110 = None
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_121 = torch.nn.functional.batch_norm(
+            x_120,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_122 = torch.nn.functional.hardtanh(x_121, 0.0, 6.0, True)
+        x_121 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_125 = torch.nn.functional.hardtanh(x_124, 0.0, 6.0, True)
+        x_124 = None
+        x_126 = torch.conv2d(
+            x_125,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_125 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_127 = torch.nn.functional.batch_norm(
+            x_126,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_128 = x_127 + x_119
+        x_127 = x_119 = None
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_130 = torch.nn.functional.batch_norm(
+            x_129,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_129 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_131 = torch.nn.functional.hardtanh(x_130, 0.0, 6.0, True)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_133 = torch.nn.functional.batch_norm(
+            x_132,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_134 = torch.nn.functional.hardtanh(x_133, 0.0, 6.0, True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_137 = torch.conv2d(
+            x_136,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_136 = l_self_modules_conv_head_parameters_weight_ = None
+        x_138 = torch.nn.functional.batch_norm(
+            x_137,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_137 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_139 = torch.nn.functional.hardtanh(x_138, 0.0, 6.0, True)
+        x_138 = None
+        x_140 = torch.nn.functional.adaptive_avg_pool2d(x_139, 1)
+        x_139 = None
+        x_141 = x_140.flatten(1, -1)
+        x_140 = None
+        x_142 = torch._C._nn.linear(
+            x_141,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_141 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_142,)
diff --git a/samples/timm/efficientnet_lite0.ra_in1k/weight_meta.py b/samples/timm/efficientnet_lite0.ra_in1k/weight_meta.py
new file mode 100644
index 000000000..4edb8ef0b
--- /dev/null
+++ b/samples/timm/efficientnet_lite0.ra_in1k/weight_meta.py
@@ -0,0 +1,2582 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.223
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.030
+    std = 0.503
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.353
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [96, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.143
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.032
+    std = 0.456
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.016
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.291
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.116
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.483
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.467
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [320, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnetv2_rw_m.agc_in1k/graph_hash.txt b/samples/timm/efficientnetv2_rw_m.agc_in1k/graph_hash.txt
new file mode 100644
index 000000000..b888fac4c
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_m.agc_in1k/graph_hash.txt
@@ -0,0 +1 @@
+51e7871012db64623b8cad69e23b191dc5e70648dae508f6a51610a906707075
\ No newline at end of file
diff --git a/samples/timm/efficientnetv2_rw_m.agc_in1k/graph_net.json b/samples/timm/efficientnetv2_rw_m.agc_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_m.agc_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnetv2_rw_m.agc_in1k/input_meta.py b/samples/timm/efficientnetv2_rw_m.agc_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnetv2_rw_m.agc_in1k/input_tensor_constraints.py b/samples/timm/efficientnetv2_rw_m.agc_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnetv2_rw_m.agc_in1k/model.py b/samples/timm/efficientnetv2_rw_m.agc_in1k/model.py
new file mode 100644
index 000000000..e5e427e04
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_m.agc_in1k/model.py
@@ -0,0 +1,10223 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_23_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_23_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_0_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_0_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_4_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_7_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_7_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_9_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_9_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_4_modules_10_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_4_modules_10_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_10_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_10_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_4_modules_11_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_4_modules_11_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_11_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_11_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_4_modules_12_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_4_modules_12_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_12_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_12_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_4_modules_13_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_4_modules_13_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_13_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_13_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_4_modules_14_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_4_modules_14_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_14_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_14_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_15_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_15_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_15_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_15_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_16_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_16_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_16_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_16_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_17_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_17_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_17_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_17_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_18_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_18_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_18_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_18_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_19_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_19_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_19_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_19_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_20_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_20_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_20_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_20_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_21_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_21_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_21_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_21_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_22_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_22_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_22_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_22_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_23_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_23_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_23_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_23_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.silu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.silu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = x_7 + x_2
+        x_7 = x_2 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_11 = torch.nn.functional.silu(x_10, inplace=True)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_14 = x_13 + x_8
+        x_13 = x_8 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_blocks_modules_0_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_17 = torch.nn.functional.silu(x_16, inplace=True)
+        x_16 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_blocks_modules_0_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_blocks_modules_0_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_20 = x_19 + x_14
+        x_19 = x_14 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_20 = l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_23 = torch.nn.functional.silu(x_22, inplace=True)
+        x_22 = None
+        x_24 = torch.conv2d(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_28 = torch.nn.functional.silu(x_27, inplace=True)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_30 = torch.nn.functional.batch_norm(
+            x_29,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_31 = x_30 + x_25
+        x_30 = x_25 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_34 = torch.nn.functional.silu(x_33, inplace=True)
+        x_33 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_34 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_37 = x_36 + x_31
+        x_36 = x_31 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_40 = torch.nn.functional.silu(x_39, inplace=True)
+        x_39 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_40 = l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_42 = torch.nn.functional.batch_norm(
+            x_41,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_41 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_43 = x_42 + x_37
+        x_42 = x_37 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_46 = torch.nn.functional.silu(x_45, inplace=True)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_46 = l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_49 = x_48 + x_43
+        x_48 = x_43 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_52 = torch.nn.functional.silu(x_51, inplace=True)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_57 = torch.nn.functional.silu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_60 = x_59 + x_54
+        x_59 = x_54 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_63 = torch.nn.functional.silu(x_62, inplace=True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_66 = x_65 + x_60
+        x_65 = x_60 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_69 = torch.nn.functional.silu(x_68, inplace=True)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_69 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_72 = x_71 + x_66
+        x_71 = x_66 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_75 = torch.nn.functional.silu(x_74, inplace=True)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_78 = x_77 + x_72
+        x_77 = x_72 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.silu(x_80, inplace=True)
+        x_80 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            320,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_84 = torch.nn.functional.silu(x_83, inplace=True)
+        x_83 = None
+        x_se = x_84.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.silu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid = torch.sigmoid(x_se_3)
+        x_se_3 = None
+        x_85 = x_84 * sigmoid
+        x_84 = sigmoid = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_90 = torch.nn.functional.silu(x_89, inplace=True)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            608,
+        )
+        x_90 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_93 = torch.nn.functional.silu(x_92, inplace=True)
+        x_92 = None
+        x_se_4 = x_93.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.silu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_1 = torch.sigmoid(x_se_7)
+        x_se_7 = None
+        x_94 = x_93 * sigmoid_1
+        x_93 = sigmoid_1 = None
+        x_95 = torch.conv2d(
+            x_94,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_94 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_96 = torch.nn.functional.batch_norm(
+            x_95,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_95 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_97 = x_96 + x_87
+        x_96 = x_87 = None
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_100 = torch.nn.functional.silu(x_99, inplace=True)
+        x_99 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            608,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_103 = torch.nn.functional.silu(x_102, inplace=True)
+        x_102 = None
+        x_se_8 = x_103.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.silu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_2 = torch.sigmoid(x_se_11)
+        x_se_11 = None
+        x_104 = x_103 * sigmoid_2
+        x_103 = sigmoid_2 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_107 = x_106 + x_97
+        x_106 = x_97 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_110 = torch.nn.functional.silu(x_109, inplace=True)
+        x_109 = None
+        x_111 = torch.conv2d(
+            x_110,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            608,
+        )
+        x_110 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_112 = torch.nn.functional.batch_norm(
+            x_111,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_113 = torch.nn.functional.silu(x_112, inplace=True)
+        x_112 = None
+        x_se_12 = x_113.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.silu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_3 = torch.sigmoid(x_se_15)
+        x_se_15 = None
+        x_114 = x_113 * sigmoid_3
+        x_113 = sigmoid_3 = None
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_114 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_116 = torch.nn.functional.batch_norm(
+            x_115,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_117 = x_116 + x_107
+        x_116 = x_107 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_119 = torch.nn.functional.batch_norm(
+            x_118,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_120 = torch.nn.functional.silu(x_119, inplace=True)
+        x_119 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            608,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_123 = torch.nn.functional.silu(x_122, inplace=True)
+        x_122 = None
+        x_se_16 = x_123.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.silu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_4 = torch.sigmoid(x_se_19)
+        x_se_19 = None
+        x_124 = x_123 * sigmoid_4
+        x_123 = sigmoid_4 = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_127 = x_126 + x_117
+        x_126 = x_117 = None
+        x_128 = torch.conv2d(
+            x_127,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_130 = torch.nn.functional.silu(x_129, inplace=True)
+        x_129 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            608,
+        )
+        x_130 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_133 = torch.nn.functional.silu(x_132, inplace=True)
+        x_132 = None
+        x_se_20 = x_133.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.silu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_5 = torch.sigmoid(x_se_23)
+        x_se_23 = None
+        x_134 = x_133 * sigmoid_5
+        x_133 = sigmoid_5 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_137 = x_136 + x_127
+        x_136 = x_127 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_140 = torch.nn.functional.silu(x_139, inplace=True)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            608,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_143 = torch.nn.functional.silu(x_142, inplace=True)
+        x_142 = None
+        x_se_24 = x_143.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.silu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_6 = torch.sigmoid(x_se_27)
+        x_se_27 = None
+        x_144 = x_143 * sigmoid_6
+        x_143 = sigmoid_6 = None
+        x_145 = torch.conv2d(
+            x_144,
+            l_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_144 = l_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_146 = torch.nn.functional.batch_norm(
+            x_145,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_147 = x_146 + x_137
+        x_146 = x_137 = None
+        x_148 = torch.conv2d(
+            x_147,
+            l_self_modules_blocks_modules_3_modules_7_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_7_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_149 = torch.nn.functional.batch_norm(
+            x_148,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_148 = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_bias_
+        ) = None
+        x_150 = torch.nn.functional.silu(x_149, inplace=True)
+        x_149 = None
+        x_151 = torch.conv2d(
+            x_150,
+            l_self_modules_blocks_modules_3_modules_7_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            608,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_3_modules_7_modules_conv_dw_parameters_weight_
+        ) = None
+        x_152 = torch.nn.functional.batch_norm(
+            x_151,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_151 = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_bias_
+        ) = None
+        x_153 = torch.nn.functional.silu(x_152, inplace=True)
+        x_152 = None
+        x_se_28 = x_153.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.silu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_7 = torch.sigmoid(x_se_31)
+        x_se_31 = None
+        x_154 = x_153 * sigmoid_7
+        x_153 = sigmoid_7 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_blocks_modules_3_modules_7_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_154 = l_self_modules_blocks_modules_3_modules_7_modules_conv_pwl_parameters_weight_ = (None)
+        x_156 = torch.nn.functional.batch_norm(
+            x_155,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_bias_
+        ) = None
+        x_157 = x_156 + x_147
+        x_156 = x_147 = None
+        x_158 = torch.conv2d(
+            x_157,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_157 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_159 = torch.nn.functional.batch_norm(
+            x_158,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_158 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_160 = torch.nn.functional.silu(x_159, inplace=True)
+        x_159 = None
+        x_161 = torch.conv2d(
+            x_160,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            912,
+        )
+        x_160 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_162 = torch.nn.functional.batch_norm(
+            x_161,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_161 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_163 = torch.nn.functional.silu(x_162, inplace=True)
+        x_162 = None
+        x_se_32 = x_163.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.silu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_8 = torch.sigmoid(x_se_35)
+        x_se_35 = None
+        x_164 = x_163 * sigmoid_8
+        x_163 = sigmoid_8 = None
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_164 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_166 = torch.nn.functional.batch_norm(
+            x_165,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_165 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_167 = torch.conv2d(
+            x_166,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_168 = torch.nn.functional.batch_norm(
+            x_167,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_167 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_169 = torch.nn.functional.silu(x_168, inplace=True)
+        x_168 = None
+        x_170 = torch.conv2d(
+            x_169,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_169 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_171 = torch.nn.functional.batch_norm(
+            x_170,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_170 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_172 = torch.nn.functional.silu(x_171, inplace=True)
+        x_171 = None
+        x_se_36 = x_172.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.silu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_9 = torch.sigmoid(x_se_39)
+        x_se_39 = None
+        x_173 = x_172 * sigmoid_9
+        x_172 = sigmoid_9 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_176 = x_175 + x_166
+        x_175 = x_166 = None
+        x_177 = torch.conv2d(
+            x_176,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_178 = torch.nn.functional.batch_norm(
+            x_177,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_177 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_179 = torch.nn.functional.silu(x_178, inplace=True)
+        x_178 = None
+        x_180 = torch.conv2d(
+            x_179,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_179 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_181 = torch.nn.functional.batch_norm(
+            x_180,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_180 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_182 = torch.nn.functional.silu(x_181, inplace=True)
+        x_181 = None
+        x_se_40 = x_182.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.silu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_10 = torch.sigmoid(x_se_43)
+        x_se_43 = None
+        x_183 = x_182 * sigmoid_10
+        x_182 = sigmoid_10 = None
+        x_184 = torch.conv2d(
+            x_183,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_183 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_185 = torch.nn.functional.batch_norm(
+            x_184,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_184 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_186 = x_185 + x_176
+        x_185 = x_176 = None
+        x_187 = torch.conv2d(
+            x_186,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_188 = torch.nn.functional.batch_norm(
+            x_187,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_187 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_189 = torch.nn.functional.silu(x_188, inplace=True)
+        x_188 = None
+        x_190 = torch.conv2d(
+            x_189,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_189 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_191 = torch.nn.functional.batch_norm(
+            x_190,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_190 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_192 = torch.nn.functional.silu(x_191, inplace=True)
+        x_191 = None
+        x_se_44 = x_192.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.silu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_11 = torch.sigmoid(x_se_47)
+        x_se_47 = None
+        x_193 = x_192 * sigmoid_11
+        x_192 = sigmoid_11 = None
+        x_194 = torch.conv2d(
+            x_193,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_193 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_195 = torch.nn.functional.batch_norm(
+            x_194,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_194 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_196 = x_195 + x_186
+        x_195 = x_186 = None
+        x_197 = torch.conv2d(
+            x_196,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_198 = torch.nn.functional.batch_norm(
+            x_197,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_197 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_199 = torch.nn.functional.silu(x_198, inplace=True)
+        x_198 = None
+        x_200 = torch.conv2d(
+            x_199,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_199 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_201 = torch.nn.functional.batch_norm(
+            x_200,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_200 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_202 = torch.nn.functional.silu(x_201, inplace=True)
+        x_201 = None
+        x_se_48 = x_202.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.silu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_12 = torch.sigmoid(x_se_51)
+        x_se_51 = None
+        x_203 = x_202 * sigmoid_12
+        x_202 = sigmoid_12 = None
+        x_204 = torch.conv2d(
+            x_203,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_203 = l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_205 = torch.nn.functional.batch_norm(
+            x_204,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_204 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_206 = x_205 + x_196
+        x_205 = x_196 = None
+        x_207 = torch.conv2d(
+            x_206,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_208 = torch.nn.functional.batch_norm(
+            x_207,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_207 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_209 = torch.nn.functional.silu(x_208, inplace=True)
+        x_208 = None
+        x_210 = torch.conv2d(
+            x_209,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_209 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_211 = torch.nn.functional.batch_norm(
+            x_210,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_210 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_212 = torch.nn.functional.silu(x_211, inplace=True)
+        x_211 = None
+        x_se_52 = x_212.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.silu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_13 = torch.sigmoid(x_se_55)
+        x_se_55 = None
+        x_213 = x_212 * sigmoid_13
+        x_212 = sigmoid_13 = None
+        x_214 = torch.conv2d(
+            x_213,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_213 = l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_215 = torch.nn.functional.batch_norm(
+            x_214,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_214 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_216 = x_215 + x_206
+        x_215 = x_206 = None
+        x_217 = torch.conv2d(
+            x_216,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_218 = torch.nn.functional.batch_norm(
+            x_217,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_217 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_219 = torch.nn.functional.silu(x_218, inplace=True)
+        x_218 = None
+        x_220 = torch.conv2d(
+            x_219,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_219 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_221 = torch.nn.functional.batch_norm(
+            x_220,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_220 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_222 = torch.nn.functional.silu(x_221, inplace=True)
+        x_221 = None
+        x_se_56 = x_222.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.silu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_14 = torch.sigmoid(x_se_59)
+        x_se_59 = None
+        x_223 = x_222 * sigmoid_14
+        x_222 = sigmoid_14 = None
+        x_224 = torch.conv2d(
+            x_223,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_223 = l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_225 = torch.nn.functional.batch_norm(
+            x_224,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_224 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_226 = x_225 + x_216
+        x_225 = x_216 = None
+        x_227 = torch.conv2d(
+            x_226,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_228 = torch.nn.functional.batch_norm(
+            x_227,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_227 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_
+        ) = None
+        x_229 = torch.nn.functional.silu(x_228, inplace=True)
+        x_228 = None
+        x_230 = torch.conv2d(
+            x_229,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_229 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_
+        ) = None
+        x_231 = torch.nn.functional.batch_norm(
+            x_230,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_230 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_
+        ) = None
+        x_232 = torch.nn.functional.silu(x_231, inplace=True)
+        x_231 = None
+        x_se_60 = x_232.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.silu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_15 = torch.sigmoid(x_se_63)
+        x_se_63 = None
+        x_233 = x_232 * sigmoid_15
+        x_232 = sigmoid_15 = None
+        x_234 = torch.conv2d(
+            x_233,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_233 = l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_ = (None)
+        x_235 = torch.nn.functional.batch_norm(
+            x_234,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_234 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_
+        ) = None
+        x_236 = x_235 + x_226
+        x_235 = x_226 = None
+        x_237 = torch.conv2d(
+            x_236,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_238 = torch.nn.functional.batch_norm(
+            x_237,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_237 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_
+        ) = None
+        x_239 = torch.nn.functional.silu(x_238, inplace=True)
+        x_238 = None
+        x_240 = torch.conv2d(
+            x_239,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_239 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_
+        ) = None
+        x_241 = torch.nn.functional.batch_norm(
+            x_240,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_240 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_
+        ) = None
+        x_242 = torch.nn.functional.silu(x_241, inplace=True)
+        x_241 = None
+        x_se_64 = x_242.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.silu(x_se_65, inplace=True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_16 = torch.sigmoid(x_se_67)
+        x_se_67 = None
+        x_243 = x_242 * sigmoid_16
+        x_242 = sigmoid_16 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_243 = l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_ = (None)
+        x_245 = torch.nn.functional.batch_norm(
+            x_244,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_244 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_
+        ) = None
+        x_246 = x_245 + x_236
+        x_245 = x_236 = None
+        x_247 = torch.conv2d(
+            x_246,
+            l_self_modules_blocks_modules_4_modules_9_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_9_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_248 = torch.nn.functional.batch_norm(
+            x_247,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_247 = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_bias_
+        ) = None
+        x_249 = torch.nn.functional.silu(x_248, inplace=True)
+        x_248 = None
+        x_250 = torch.conv2d(
+            x_249,
+            l_self_modules_blocks_modules_4_modules_9_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_249 = (
+            l_self_modules_blocks_modules_4_modules_9_modules_conv_dw_parameters_weight_
+        ) = None
+        x_251 = torch.nn.functional.batch_norm(
+            x_250,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_250 = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_bias_
+        ) = None
+        x_252 = torch.nn.functional.silu(x_251, inplace=True)
+        x_251 = None
+        x_se_68 = x_252.mean((2, 3), keepdim=True)
+        x_se_69 = torch.conv2d(
+            x_se_68,
+            l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_68 = l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_70 = torch.nn.functional.silu(x_se_69, inplace=True)
+        x_se_69 = None
+        x_se_71 = torch.conv2d(
+            x_se_70,
+            l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_70 = l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_17 = torch.sigmoid(x_se_71)
+        x_se_71 = None
+        x_253 = x_252 * sigmoid_17
+        x_252 = sigmoid_17 = None
+        x_254 = torch.conv2d(
+            x_253,
+            l_self_modules_blocks_modules_4_modules_9_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_253 = l_self_modules_blocks_modules_4_modules_9_modules_conv_pwl_parameters_weight_ = (None)
+        x_255 = torch.nn.functional.batch_norm(
+            x_254,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_254 = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_bias_
+        ) = None
+        x_256 = x_255 + x_246
+        x_255 = x_246 = None
+        x_257 = torch.conv2d(
+            x_256,
+            l_self_modules_blocks_modules_4_modules_10_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_10_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_258 = torch.nn.functional.batch_norm(
+            x_257,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_257 = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_bias_
+        ) = None
+        x_259 = torch.nn.functional.silu(x_258, inplace=True)
+        x_258 = None
+        x_260 = torch.conv2d(
+            x_259,
+            l_self_modules_blocks_modules_4_modules_10_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_259 = l_self_modules_blocks_modules_4_modules_10_modules_conv_dw_parameters_weight_ = (None)
+        x_261 = torch.nn.functional.batch_norm(
+            x_260,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_260 = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_bias_
+        ) = None
+        x_262 = torch.nn.functional.silu(x_261, inplace=True)
+        x_261 = None
+        x_se_72 = x_262.mean((2, 3), keepdim=True)
+        x_se_73 = torch.conv2d(
+            x_se_72,
+            l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_72 = l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_74 = torch.nn.functional.silu(x_se_73, inplace=True)
+        x_se_73 = None
+        x_se_75 = torch.conv2d(
+            x_se_74,
+            l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_74 = l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_18 = torch.sigmoid(x_se_75)
+        x_se_75 = None
+        x_263 = x_262 * sigmoid_18
+        x_262 = sigmoid_18 = None
+        x_264 = torch.conv2d(
+            x_263,
+            l_self_modules_blocks_modules_4_modules_10_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_263 = l_self_modules_blocks_modules_4_modules_10_modules_conv_pwl_parameters_weight_ = (None)
+        x_265 = torch.nn.functional.batch_norm(
+            x_264,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_264 = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_bias_
+        ) = None
+        x_266 = x_265 + x_256
+        x_265 = x_256 = None
+        x_267 = torch.conv2d(
+            x_266,
+            l_self_modules_blocks_modules_4_modules_11_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_11_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_268 = torch.nn.functional.batch_norm(
+            x_267,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_267 = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_bias_
+        ) = None
+        x_269 = torch.nn.functional.silu(x_268, inplace=True)
+        x_268 = None
+        x_270 = torch.conv2d(
+            x_269,
+            l_self_modules_blocks_modules_4_modules_11_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_269 = l_self_modules_blocks_modules_4_modules_11_modules_conv_dw_parameters_weight_ = (None)
+        x_271 = torch.nn.functional.batch_norm(
+            x_270,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_270 = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_bias_
+        ) = None
+        x_272 = torch.nn.functional.silu(x_271, inplace=True)
+        x_271 = None
+        x_se_76 = x_272.mean((2, 3), keepdim=True)
+        x_se_77 = torch.conv2d(
+            x_se_76,
+            l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_76 = l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_78 = torch.nn.functional.silu(x_se_77, inplace=True)
+        x_se_77 = None
+        x_se_79 = torch.conv2d(
+            x_se_78,
+            l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_78 = l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_19 = torch.sigmoid(x_se_79)
+        x_se_79 = None
+        x_273 = x_272 * sigmoid_19
+        x_272 = sigmoid_19 = None
+        x_274 = torch.conv2d(
+            x_273,
+            l_self_modules_blocks_modules_4_modules_11_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_273 = l_self_modules_blocks_modules_4_modules_11_modules_conv_pwl_parameters_weight_ = (None)
+        x_275 = torch.nn.functional.batch_norm(
+            x_274,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_274 = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_bias_
+        ) = None
+        x_276 = x_275 + x_266
+        x_275 = x_266 = None
+        x_277 = torch.conv2d(
+            x_276,
+            l_self_modules_blocks_modules_4_modules_12_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_12_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_278 = torch.nn.functional.batch_norm(
+            x_277,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_277 = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_bias_
+        ) = None
+        x_279 = torch.nn.functional.silu(x_278, inplace=True)
+        x_278 = None
+        x_280 = torch.conv2d(
+            x_279,
+            l_self_modules_blocks_modules_4_modules_12_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_279 = l_self_modules_blocks_modules_4_modules_12_modules_conv_dw_parameters_weight_ = (None)
+        x_281 = torch.nn.functional.batch_norm(
+            x_280,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_280 = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_bias_
+        ) = None
+        x_282 = torch.nn.functional.silu(x_281, inplace=True)
+        x_281 = None
+        x_se_80 = x_282.mean((2, 3), keepdim=True)
+        x_se_81 = torch.conv2d(
+            x_se_80,
+            l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_80 = l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_82 = torch.nn.functional.silu(x_se_81, inplace=True)
+        x_se_81 = None
+        x_se_83 = torch.conv2d(
+            x_se_82,
+            l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_82 = l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_20 = torch.sigmoid(x_se_83)
+        x_se_83 = None
+        x_283 = x_282 * sigmoid_20
+        x_282 = sigmoid_20 = None
+        x_284 = torch.conv2d(
+            x_283,
+            l_self_modules_blocks_modules_4_modules_12_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_283 = l_self_modules_blocks_modules_4_modules_12_modules_conv_pwl_parameters_weight_ = (None)
+        x_285 = torch.nn.functional.batch_norm(
+            x_284,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_284 = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_bias_
+        ) = None
+        x_286 = x_285 + x_276
+        x_285 = x_276 = None
+        x_287 = torch.conv2d(
+            x_286,
+            l_self_modules_blocks_modules_4_modules_13_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_13_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_288 = torch.nn.functional.batch_norm(
+            x_287,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_287 = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_bias_
+        ) = None
+        x_289 = torch.nn.functional.silu(x_288, inplace=True)
+        x_288 = None
+        x_290 = torch.conv2d(
+            x_289,
+            l_self_modules_blocks_modules_4_modules_13_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_289 = l_self_modules_blocks_modules_4_modules_13_modules_conv_dw_parameters_weight_ = (None)
+        x_291 = torch.nn.functional.batch_norm(
+            x_290,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_290 = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_bias_
+        ) = None
+        x_292 = torch.nn.functional.silu(x_291, inplace=True)
+        x_291 = None
+        x_se_84 = x_292.mean((2, 3), keepdim=True)
+        x_se_85 = torch.conv2d(
+            x_se_84,
+            l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_84 = l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_86 = torch.nn.functional.silu(x_se_85, inplace=True)
+        x_se_85 = None
+        x_se_87 = torch.conv2d(
+            x_se_86,
+            l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_86 = l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_21 = torch.sigmoid(x_se_87)
+        x_se_87 = None
+        x_293 = x_292 * sigmoid_21
+        x_292 = sigmoid_21 = None
+        x_294 = torch.conv2d(
+            x_293,
+            l_self_modules_blocks_modules_4_modules_13_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_293 = l_self_modules_blocks_modules_4_modules_13_modules_conv_pwl_parameters_weight_ = (None)
+        x_295 = torch.nn.functional.batch_norm(
+            x_294,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_294 = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_bias_
+        ) = None
+        x_296 = x_295 + x_286
+        x_295 = x_286 = None
+        x_297 = torch.conv2d(
+            x_296,
+            l_self_modules_blocks_modules_4_modules_14_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_14_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_298 = torch.nn.functional.batch_norm(
+            x_297,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_297 = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_bias_
+        ) = None
+        x_299 = torch.nn.functional.silu(x_298, inplace=True)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_blocks_modules_4_modules_14_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_299 = l_self_modules_blocks_modules_4_modules_14_modules_conv_dw_parameters_weight_ = (None)
+        x_301 = torch.nn.functional.batch_norm(
+            x_300,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_300 = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_bias_
+        ) = None
+        x_302 = torch.nn.functional.silu(x_301, inplace=True)
+        x_301 = None
+        x_se_88 = x_302.mean((2, 3), keepdim=True)
+        x_se_89 = torch.conv2d(
+            x_se_88,
+            l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_88 = l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_90 = torch.nn.functional.silu(x_se_89, inplace=True)
+        x_se_89 = None
+        x_se_91 = torch.conv2d(
+            x_se_90,
+            l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_90 = l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_22 = torch.sigmoid(x_se_91)
+        x_se_91 = None
+        x_303 = x_302 * sigmoid_22
+        x_302 = sigmoid_22 = None
+        x_304 = torch.conv2d(
+            x_303,
+            l_self_modules_blocks_modules_4_modules_14_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_303 = l_self_modules_blocks_modules_4_modules_14_modules_conv_pwl_parameters_weight_ = (None)
+        x_305 = torch.nn.functional.batch_norm(
+            x_304,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_304 = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_bias_
+        ) = None
+        x_306 = x_305 + x_296
+        x_305 = x_296 = None
+        x_307 = torch.conv2d(
+            x_306,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_306 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_308 = torch.nn.functional.batch_norm(
+            x_307,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_307 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_309 = torch.nn.functional.silu(x_308, inplace=True)
+        x_308 = None
+        x_310 = torch.conv2d(
+            x_309,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_309 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_311 = torch.nn.functional.batch_norm(
+            x_310,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_310 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_312 = torch.nn.functional.silu(x_311, inplace=True)
+        x_311 = None
+        x_se_92 = x_312.mean((2, 3), keepdim=True)
+        x_se_93 = torch.conv2d(
+            x_se_92,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_92 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_94 = torch.nn.functional.silu(x_se_93, inplace=True)
+        x_se_93 = None
+        x_se_95 = torch.conv2d(
+            x_se_94,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_94 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_23 = torch.sigmoid(x_se_95)
+        x_se_95 = None
+        x_313 = x_312 * sigmoid_23
+        x_312 = sigmoid_23 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_315 = torch.nn.functional.batch_norm(
+            x_314,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_314 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_316 = torch.conv2d(
+            x_315,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_317 = torch.nn.functional.batch_norm(
+            x_316,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_316 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_318 = torch.nn.functional.silu(x_317, inplace=True)
+        x_317 = None
+        x_319 = torch.conv2d(
+            x_318,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_318 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_320 = torch.nn.functional.batch_norm(
+            x_319,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_319 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_321 = torch.nn.functional.silu(x_320, inplace=True)
+        x_320 = None
+        x_se_96 = x_321.mean((2, 3), keepdim=True)
+        x_se_97 = torch.conv2d(
+            x_se_96,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_96 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_98 = torch.nn.functional.silu(x_se_97, inplace=True)
+        x_se_97 = None
+        x_se_99 = torch.conv2d(
+            x_se_98,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_98 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_24 = torch.sigmoid(x_se_99)
+        x_se_99 = None
+        x_322 = x_321 * sigmoid_24
+        x_321 = sigmoid_24 = None
+        x_323 = torch.conv2d(
+            x_322,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_322 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_324 = torch.nn.functional.batch_norm(
+            x_323,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_323 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_325 = x_324 + x_315
+        x_324 = x_315 = None
+        x_326 = torch.conv2d(
+            x_325,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_327 = torch.nn.functional.batch_norm(
+            x_326,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_326 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_328 = torch.nn.functional.silu(x_327, inplace=True)
+        x_327 = None
+        x_329 = torch.conv2d(
+            x_328,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_328 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_330 = torch.nn.functional.batch_norm(
+            x_329,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_329 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_331 = torch.nn.functional.silu(x_330, inplace=True)
+        x_330 = None
+        x_se_100 = x_331.mean((2, 3), keepdim=True)
+        x_se_101 = torch.conv2d(
+            x_se_100,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_100 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_102 = torch.nn.functional.silu(x_se_101, inplace=True)
+        x_se_101 = None
+        x_se_103 = torch.conv2d(
+            x_se_102,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_102 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_25 = torch.sigmoid(x_se_103)
+        x_se_103 = None
+        x_332 = x_331 * sigmoid_25
+        x_331 = sigmoid_25 = None
+        x_333 = torch.conv2d(
+            x_332,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_332 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_334 = torch.nn.functional.batch_norm(
+            x_333,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_333 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_335 = x_334 + x_325
+        x_334 = x_325 = None
+        x_336 = torch.conv2d(
+            x_335,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_337 = torch.nn.functional.batch_norm(
+            x_336,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_336 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_338 = torch.nn.functional.silu(x_337, inplace=True)
+        x_337 = None
+        x_339 = torch.conv2d(
+            x_338,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_338 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_340 = torch.nn.functional.batch_norm(
+            x_339,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_339 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_341 = torch.nn.functional.silu(x_340, inplace=True)
+        x_340 = None
+        x_se_104 = x_341.mean((2, 3), keepdim=True)
+        x_se_105 = torch.conv2d(
+            x_se_104,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_104 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_106 = torch.nn.functional.silu(x_se_105, inplace=True)
+        x_se_105 = None
+        x_se_107 = torch.conv2d(
+            x_se_106,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_106 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_26 = torch.sigmoid(x_se_107)
+        x_se_107 = None
+        x_342 = x_341 * sigmoid_26
+        x_341 = sigmoid_26 = None
+        x_343 = torch.conv2d(
+            x_342,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_342 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_344 = torch.nn.functional.batch_norm(
+            x_343,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_343 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_345 = x_344 + x_335
+        x_344 = x_335 = None
+        x_346 = torch.conv2d(
+            x_345,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_347 = torch.nn.functional.batch_norm(
+            x_346,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_346 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_348 = torch.nn.functional.silu(x_347, inplace=True)
+        x_347 = None
+        x_349 = torch.conv2d(
+            x_348,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_348 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_350 = torch.nn.functional.batch_norm(
+            x_349,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_349 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_351 = torch.nn.functional.silu(x_350, inplace=True)
+        x_350 = None
+        x_se_108 = x_351.mean((2, 3), keepdim=True)
+        x_se_109 = torch.conv2d(
+            x_se_108,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_108 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_110 = torch.nn.functional.silu(x_se_109, inplace=True)
+        x_se_109 = None
+        x_se_111 = torch.conv2d(
+            x_se_110,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_110 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_27 = torch.sigmoid(x_se_111)
+        x_se_111 = None
+        x_352 = x_351 * sigmoid_27
+        x_351 = sigmoid_27 = None
+        x_353 = torch.conv2d(
+            x_352,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_352 = l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_354 = torch.nn.functional.batch_norm(
+            x_353,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_353 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_355 = x_354 + x_345
+        x_354 = x_345 = None
+        x_356 = torch.conv2d(
+            x_355,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_357 = torch.nn.functional.batch_norm(
+            x_356,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_356 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_358 = torch.nn.functional.silu(x_357, inplace=True)
+        x_357 = None
+        x_359 = torch.conv2d(
+            x_358,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_358 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_360 = torch.nn.functional.batch_norm(
+            x_359,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_359 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_361 = torch.nn.functional.silu(x_360, inplace=True)
+        x_360 = None
+        x_se_112 = x_361.mean((2, 3), keepdim=True)
+        x_se_113 = torch.conv2d(
+            x_se_112,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_112 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_114 = torch.nn.functional.silu(x_se_113, inplace=True)
+        x_se_113 = None
+        x_se_115 = torch.conv2d(
+            x_se_114,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_114 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_28 = torch.sigmoid(x_se_115)
+        x_se_115 = None
+        x_362 = x_361 * sigmoid_28
+        x_361 = sigmoid_28 = None
+        x_363 = torch.conv2d(
+            x_362,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_362 = l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_364 = torch.nn.functional.batch_norm(
+            x_363,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_363 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_365 = x_364 + x_355
+        x_364 = x_355 = None
+        x_366 = torch.conv2d(
+            x_365,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_367 = torch.nn.functional.batch_norm(
+            x_366,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_366 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_368 = torch.nn.functional.silu(x_367, inplace=True)
+        x_367 = None
+        x_369 = torch.conv2d(
+            x_368,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_368 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_370 = torch.nn.functional.batch_norm(
+            x_369,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_369 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_371 = torch.nn.functional.silu(x_370, inplace=True)
+        x_370 = None
+        x_se_116 = x_371.mean((2, 3), keepdim=True)
+        x_se_117 = torch.conv2d(
+            x_se_116,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_116 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_118 = torch.nn.functional.silu(x_se_117, inplace=True)
+        x_se_117 = None
+        x_se_119 = torch.conv2d(
+            x_se_118,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_118 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_29 = torch.sigmoid(x_se_119)
+        x_se_119 = None
+        x_372 = x_371 * sigmoid_29
+        x_371 = sigmoid_29 = None
+        x_373 = torch.conv2d(
+            x_372,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_372 = l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_374 = torch.nn.functional.batch_norm(
+            x_373,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_373 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_375 = x_374 + x_365
+        x_374 = x_365 = None
+        x_376 = torch.conv2d(
+            x_375,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_377 = torch.nn.functional.batch_norm(
+            x_376,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_376 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        ) = None
+        x_378 = torch.nn.functional.silu(x_377, inplace=True)
+        x_377 = None
+        x_379 = torch.conv2d(
+            x_378,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_378 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        ) = None
+        x_380 = torch.nn.functional.batch_norm(
+            x_379,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_379 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        ) = None
+        x_381 = torch.nn.functional.silu(x_380, inplace=True)
+        x_380 = None
+        x_se_120 = x_381.mean((2, 3), keepdim=True)
+        x_se_121 = torch.conv2d(
+            x_se_120,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_120 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_122 = torch.nn.functional.silu(x_se_121, inplace=True)
+        x_se_121 = None
+        x_se_123 = torch.conv2d(
+            x_se_122,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_122 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_30 = torch.sigmoid(x_se_123)
+        x_se_123 = None
+        x_382 = x_381 * sigmoid_30
+        x_381 = sigmoid_30 = None
+        x_383 = torch.conv2d(
+            x_382,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_382 = l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = (None)
+        x_384 = torch.nn.functional.batch_norm(
+            x_383,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_383 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        ) = None
+        x_385 = x_384 + x_375
+        x_384 = x_375 = None
+        x_386 = torch.conv2d(
+            x_385,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_387 = torch.nn.functional.batch_norm(
+            x_386,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_386 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_
+        ) = None
+        x_388 = torch.nn.functional.silu(x_387, inplace=True)
+        x_387 = None
+        x_389 = torch.conv2d(
+            x_388,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_388 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_
+        ) = None
+        x_390 = torch.nn.functional.batch_norm(
+            x_389,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_389 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_
+        ) = None
+        x_391 = torch.nn.functional.silu(x_390, inplace=True)
+        x_390 = None
+        x_se_124 = x_391.mean((2, 3), keepdim=True)
+        x_se_125 = torch.conv2d(
+            x_se_124,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_124 = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_126 = torch.nn.functional.silu(x_se_125, inplace=True)
+        x_se_125 = None
+        x_se_127 = torch.conv2d(
+            x_se_126,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_126 = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_31 = torch.sigmoid(x_se_127)
+        x_se_127 = None
+        x_392 = x_391 * sigmoid_31
+        x_391 = sigmoid_31 = None
+        x_393 = torch.conv2d(
+            x_392,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_392 = l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_ = (None)
+        x_394 = torch.nn.functional.batch_norm(
+            x_393,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_393 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_
+        ) = None
+        x_395 = x_394 + x_385
+        x_394 = x_385 = None
+        x_396 = torch.conv2d(
+            x_395,
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_397 = torch.nn.functional.batch_norm(
+            x_396,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_396 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_
+        ) = None
+        x_398 = torch.nn.functional.silu(x_397, inplace=True)
+        x_397 = None
+        x_399 = torch.conv2d(
+            x_398,
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_398 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_
+        ) = None
+        x_400 = torch.nn.functional.batch_norm(
+            x_399,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_399 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_
+        ) = None
+        x_401 = torch.nn.functional.silu(x_400, inplace=True)
+        x_400 = None
+        x_se_128 = x_401.mean((2, 3), keepdim=True)
+        x_se_129 = torch.conv2d(
+            x_se_128,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_128 = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_130 = torch.nn.functional.silu(x_se_129, inplace=True)
+        x_se_129 = None
+        x_se_131 = torch.conv2d(
+            x_se_130,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_130 = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_32 = torch.sigmoid(x_se_131)
+        x_se_131 = None
+        x_402 = x_401 * sigmoid_32
+        x_401 = sigmoid_32 = None
+        x_403 = torch.conv2d(
+            x_402,
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_402 = l_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_ = (None)
+        x_404 = torch.nn.functional.batch_norm(
+            x_403,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_403 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_
+        ) = None
+        x_405 = x_404 + x_395
+        x_404 = x_395 = None
+        x_406 = torch.conv2d(
+            x_405,
+            l_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_407 = torch.nn.functional.batch_norm(
+            x_406,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_406 = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_
+        ) = None
+        x_408 = torch.nn.functional.silu(x_407, inplace=True)
+        x_407 = None
+        x_409 = torch.conv2d(
+            x_408,
+            l_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_408 = l_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_ = (None)
+        x_410 = torch.nn.functional.batch_norm(
+            x_409,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_409 = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_
+        ) = None
+        x_411 = torch.nn.functional.silu(x_410, inplace=True)
+        x_410 = None
+        x_se_132 = x_411.mean((2, 3), keepdim=True)
+        x_se_133 = torch.conv2d(
+            x_se_132,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_132 = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_134 = torch.nn.functional.silu(x_se_133, inplace=True)
+        x_se_133 = None
+        x_se_135 = torch.conv2d(
+            x_se_134,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_134 = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_33 = torch.sigmoid(x_se_135)
+        x_se_135 = None
+        x_412 = x_411 * sigmoid_33
+        x_411 = sigmoid_33 = None
+        x_413 = torch.conv2d(
+            x_412,
+            l_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_412 = l_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_ = (None)
+        x_414 = torch.nn.functional.batch_norm(
+            x_413,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_413 = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_
+        ) = None
+        x_415 = x_414 + x_405
+        x_414 = x_405 = None
+        x_416 = torch.conv2d(
+            x_415,
+            l_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_417 = torch.nn.functional.batch_norm(
+            x_416,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_416 = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_
+        ) = None
+        x_418 = torch.nn.functional.silu(x_417, inplace=True)
+        x_417 = None
+        x_419 = torch.conv2d(
+            x_418,
+            l_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_418 = l_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_ = (None)
+        x_420 = torch.nn.functional.batch_norm(
+            x_419,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_419 = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_
+        ) = None
+        x_421 = torch.nn.functional.silu(x_420, inplace=True)
+        x_420 = None
+        x_se_136 = x_421.mean((2, 3), keepdim=True)
+        x_se_137 = torch.conv2d(
+            x_se_136,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_136 = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_138 = torch.nn.functional.silu(x_se_137, inplace=True)
+        x_se_137 = None
+        x_se_139 = torch.conv2d(
+            x_se_138,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_138 = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_34 = torch.sigmoid(x_se_139)
+        x_se_139 = None
+        x_422 = x_421 * sigmoid_34
+        x_421 = sigmoid_34 = None
+        x_423 = torch.conv2d(
+            x_422,
+            l_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_422 = l_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_ = (None)
+        x_424 = torch.nn.functional.batch_norm(
+            x_423,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_423 = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_
+        ) = None
+        x_425 = x_424 + x_415
+        x_424 = x_415 = None
+        x_426 = torch.conv2d(
+            x_425,
+            l_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_427 = torch.nn.functional.batch_norm(
+            x_426,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_426 = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_
+        ) = None
+        x_428 = torch.nn.functional.silu(x_427, inplace=True)
+        x_427 = None
+        x_429 = torch.conv2d(
+            x_428,
+            l_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_428 = l_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_ = (None)
+        x_430 = torch.nn.functional.batch_norm(
+            x_429,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_429 = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_
+        ) = None
+        x_431 = torch.nn.functional.silu(x_430, inplace=True)
+        x_430 = None
+        x_se_140 = x_431.mean((2, 3), keepdim=True)
+        x_se_141 = torch.conv2d(
+            x_se_140,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_140 = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_142 = torch.nn.functional.silu(x_se_141, inplace=True)
+        x_se_141 = None
+        x_se_143 = torch.conv2d(
+            x_se_142,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_142 = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_35 = torch.sigmoid(x_se_143)
+        x_se_143 = None
+        x_432 = x_431 * sigmoid_35
+        x_431 = sigmoid_35 = None
+        x_433 = torch.conv2d(
+            x_432,
+            l_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_432 = l_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_ = (None)
+        x_434 = torch.nn.functional.batch_norm(
+            x_433,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_433 = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_
+        ) = None
+        x_435 = x_434 + x_425
+        x_434 = x_425 = None
+        x_436 = torch.conv2d(
+            x_435,
+            l_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_437 = torch.nn.functional.batch_norm(
+            x_436,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_436 = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_
+        ) = None
+        x_438 = torch.nn.functional.silu(x_437, inplace=True)
+        x_437 = None
+        x_439 = torch.conv2d(
+            x_438,
+            l_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_438 = l_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_ = (None)
+        x_440 = torch.nn.functional.batch_norm(
+            x_439,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_439 = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_
+        ) = None
+        x_441 = torch.nn.functional.silu(x_440, inplace=True)
+        x_440 = None
+        x_se_144 = x_441.mean((2, 3), keepdim=True)
+        x_se_145 = torch.conv2d(
+            x_se_144,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_144 = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_146 = torch.nn.functional.silu(x_se_145, inplace=True)
+        x_se_145 = None
+        x_se_147 = torch.conv2d(
+            x_se_146,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_146 = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_36 = torch.sigmoid(x_se_147)
+        x_se_147 = None
+        x_442 = x_441 * sigmoid_36
+        x_441 = sigmoid_36 = None
+        x_443 = torch.conv2d(
+            x_442,
+            l_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_442 = l_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_ = (None)
+        x_444 = torch.nn.functional.batch_norm(
+            x_443,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_443 = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_
+        ) = None
+        x_445 = x_444 + x_435
+        x_444 = x_435 = None
+        x_446 = torch.conv2d(
+            x_445,
+            l_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_447 = torch.nn.functional.batch_norm(
+            x_446,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_446 = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_
+        ) = None
+        x_448 = torch.nn.functional.silu(x_447, inplace=True)
+        x_447 = None
+        x_449 = torch.conv2d(
+            x_448,
+            l_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_448 = l_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_ = (None)
+        x_450 = torch.nn.functional.batch_norm(
+            x_449,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_449 = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_
+        ) = None
+        x_451 = torch.nn.functional.silu(x_450, inplace=True)
+        x_450 = None
+        x_se_148 = x_451.mean((2, 3), keepdim=True)
+        x_se_149 = torch.conv2d(
+            x_se_148,
+            l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_148 = l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_150 = torch.nn.functional.silu(x_se_149, inplace=True)
+        x_se_149 = None
+        x_se_151 = torch.conv2d(
+            x_se_150,
+            l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_150 = l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_37 = torch.sigmoid(x_se_151)
+        x_se_151 = None
+        x_452 = x_451 * sigmoid_37
+        x_451 = sigmoid_37 = None
+        x_453 = torch.conv2d(
+            x_452,
+            l_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_452 = l_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_ = (None)
+        x_454 = torch.nn.functional.batch_norm(
+            x_453,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_453 = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_
+        ) = None
+        x_455 = x_454 + x_445
+        x_454 = x_445 = None
+        x_456 = torch.conv2d(
+            x_455,
+            l_self_modules_blocks_modules_5_modules_15_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_15_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_457 = torch.nn.functional.batch_norm(
+            x_456,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_456 = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_bias_
+        ) = None
+        x_458 = torch.nn.functional.silu(x_457, inplace=True)
+        x_457 = None
+        x_459 = torch.conv2d(
+            x_458,
+            l_self_modules_blocks_modules_5_modules_15_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_458 = l_self_modules_blocks_modules_5_modules_15_modules_conv_dw_parameters_weight_ = (None)
+        x_460 = torch.nn.functional.batch_norm(
+            x_459,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_459 = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_bias_
+        ) = None
+        x_461 = torch.nn.functional.silu(x_460, inplace=True)
+        x_460 = None
+        x_se_152 = x_461.mean((2, 3), keepdim=True)
+        x_se_153 = torch.conv2d(
+            x_se_152,
+            l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_152 = l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_154 = torch.nn.functional.silu(x_se_153, inplace=True)
+        x_se_153 = None
+        x_se_155 = torch.conv2d(
+            x_se_154,
+            l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_154 = l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_38 = torch.sigmoid(x_se_155)
+        x_se_155 = None
+        x_462 = x_461 * sigmoid_38
+        x_461 = sigmoid_38 = None
+        x_463 = torch.conv2d(
+            x_462,
+            l_self_modules_blocks_modules_5_modules_15_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_462 = l_self_modules_blocks_modules_5_modules_15_modules_conv_pwl_parameters_weight_ = (None)
+        x_464 = torch.nn.functional.batch_norm(
+            x_463,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_463 = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_bias_
+        ) = None
+        x_465 = x_464 + x_455
+        x_464 = x_455 = None
+        x_466 = torch.conv2d(
+            x_465,
+            l_self_modules_blocks_modules_5_modules_16_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_16_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_467 = torch.nn.functional.batch_norm(
+            x_466,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_466 = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_bias_
+        ) = None
+        x_468 = torch.nn.functional.silu(x_467, inplace=True)
+        x_467 = None
+        x_469 = torch.conv2d(
+            x_468,
+            l_self_modules_blocks_modules_5_modules_16_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_468 = l_self_modules_blocks_modules_5_modules_16_modules_conv_dw_parameters_weight_ = (None)
+        x_470 = torch.nn.functional.batch_norm(
+            x_469,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_469 = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_bias_
+        ) = None
+        x_471 = torch.nn.functional.silu(x_470, inplace=True)
+        x_470 = None
+        x_se_156 = x_471.mean((2, 3), keepdim=True)
+        x_se_157 = torch.conv2d(
+            x_se_156,
+            l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_156 = l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_158 = torch.nn.functional.silu(x_se_157, inplace=True)
+        x_se_157 = None
+        x_se_159 = torch.conv2d(
+            x_se_158,
+            l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_158 = l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_39 = torch.sigmoid(x_se_159)
+        x_se_159 = None
+        x_472 = x_471 * sigmoid_39
+        x_471 = sigmoid_39 = None
+        x_473 = torch.conv2d(
+            x_472,
+            l_self_modules_blocks_modules_5_modules_16_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_472 = l_self_modules_blocks_modules_5_modules_16_modules_conv_pwl_parameters_weight_ = (None)
+        x_474 = torch.nn.functional.batch_norm(
+            x_473,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_473 = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_bias_
+        ) = None
+        x_475 = x_474 + x_465
+        x_474 = x_465 = None
+        x_476 = torch.conv2d(
+            x_475,
+            l_self_modules_blocks_modules_5_modules_17_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_17_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_477 = torch.nn.functional.batch_norm(
+            x_476,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_476 = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_bias_
+        ) = None
+        x_478 = torch.nn.functional.silu(x_477, inplace=True)
+        x_477 = None
+        x_479 = torch.conv2d(
+            x_478,
+            l_self_modules_blocks_modules_5_modules_17_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_478 = l_self_modules_blocks_modules_5_modules_17_modules_conv_dw_parameters_weight_ = (None)
+        x_480 = torch.nn.functional.batch_norm(
+            x_479,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_479 = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_bias_
+        ) = None
+        x_481 = torch.nn.functional.silu(x_480, inplace=True)
+        x_480 = None
+        x_se_160 = x_481.mean((2, 3), keepdim=True)
+        x_se_161 = torch.conv2d(
+            x_se_160,
+            l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_160 = l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_162 = torch.nn.functional.silu(x_se_161, inplace=True)
+        x_se_161 = None
+        x_se_163 = torch.conv2d(
+            x_se_162,
+            l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_162 = l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_40 = torch.sigmoid(x_se_163)
+        x_se_163 = None
+        x_482 = x_481 * sigmoid_40
+        x_481 = sigmoid_40 = None
+        x_483 = torch.conv2d(
+            x_482,
+            l_self_modules_blocks_modules_5_modules_17_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_482 = l_self_modules_blocks_modules_5_modules_17_modules_conv_pwl_parameters_weight_ = (None)
+        x_484 = torch.nn.functional.batch_norm(
+            x_483,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_483 = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_bias_
+        ) = None
+        x_485 = x_484 + x_475
+        x_484 = x_475 = None
+        x_486 = torch.conv2d(
+            x_485,
+            l_self_modules_blocks_modules_5_modules_18_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_18_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_487 = torch.nn.functional.batch_norm(
+            x_486,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_486 = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_bias_
+        ) = None
+        x_488 = torch.nn.functional.silu(x_487, inplace=True)
+        x_487 = None
+        x_489 = torch.conv2d(
+            x_488,
+            l_self_modules_blocks_modules_5_modules_18_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_488 = l_self_modules_blocks_modules_5_modules_18_modules_conv_dw_parameters_weight_ = (None)
+        x_490 = torch.nn.functional.batch_norm(
+            x_489,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_489 = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_bias_
+        ) = None
+        x_491 = torch.nn.functional.silu(x_490, inplace=True)
+        x_490 = None
+        x_se_164 = x_491.mean((2, 3), keepdim=True)
+        x_se_165 = torch.conv2d(
+            x_se_164,
+            l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_164 = l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_166 = torch.nn.functional.silu(x_se_165, inplace=True)
+        x_se_165 = None
+        x_se_167 = torch.conv2d(
+            x_se_166,
+            l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_166 = l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_41 = torch.sigmoid(x_se_167)
+        x_se_167 = None
+        x_492 = x_491 * sigmoid_41
+        x_491 = sigmoid_41 = None
+        x_493 = torch.conv2d(
+            x_492,
+            l_self_modules_blocks_modules_5_modules_18_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_492 = l_self_modules_blocks_modules_5_modules_18_modules_conv_pwl_parameters_weight_ = (None)
+        x_494 = torch.nn.functional.batch_norm(
+            x_493,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_493 = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_bias_
+        ) = None
+        x_495 = x_494 + x_485
+        x_494 = x_485 = None
+        x_496 = torch.conv2d(
+            x_495,
+            l_self_modules_blocks_modules_5_modules_19_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_19_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_497 = torch.nn.functional.batch_norm(
+            x_496,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_496 = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_bias_
+        ) = None
+        x_498 = torch.nn.functional.silu(x_497, inplace=True)
+        x_497 = None
+        x_499 = torch.conv2d(
+            x_498,
+            l_self_modules_blocks_modules_5_modules_19_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_498 = l_self_modules_blocks_modules_5_modules_19_modules_conv_dw_parameters_weight_ = (None)
+        x_500 = torch.nn.functional.batch_norm(
+            x_499,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_499 = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_bias_
+        ) = None
+        x_501 = torch.nn.functional.silu(x_500, inplace=True)
+        x_500 = None
+        x_se_168 = x_501.mean((2, 3), keepdim=True)
+        x_se_169 = torch.conv2d(
+            x_se_168,
+            l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_168 = l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_170 = torch.nn.functional.silu(x_se_169, inplace=True)
+        x_se_169 = None
+        x_se_171 = torch.conv2d(
+            x_se_170,
+            l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_170 = l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_42 = torch.sigmoid(x_se_171)
+        x_se_171 = None
+        x_502 = x_501 * sigmoid_42
+        x_501 = sigmoid_42 = None
+        x_503 = torch.conv2d(
+            x_502,
+            l_self_modules_blocks_modules_5_modules_19_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_502 = l_self_modules_blocks_modules_5_modules_19_modules_conv_pwl_parameters_weight_ = (None)
+        x_504 = torch.nn.functional.batch_norm(
+            x_503,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_503 = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_bias_
+        ) = None
+        x_505 = x_504 + x_495
+        x_504 = x_495 = None
+        x_506 = torch.conv2d(
+            x_505,
+            l_self_modules_blocks_modules_5_modules_20_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_20_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_507 = torch.nn.functional.batch_norm(
+            x_506,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_506 = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_bias_
+        ) = None
+        x_508 = torch.nn.functional.silu(x_507, inplace=True)
+        x_507 = None
+        x_509 = torch.conv2d(
+            x_508,
+            l_self_modules_blocks_modules_5_modules_20_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_508 = l_self_modules_blocks_modules_5_modules_20_modules_conv_dw_parameters_weight_ = (None)
+        x_510 = torch.nn.functional.batch_norm(
+            x_509,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_509 = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_bias_
+        ) = None
+        x_511 = torch.nn.functional.silu(x_510, inplace=True)
+        x_510 = None
+        x_se_172 = x_511.mean((2, 3), keepdim=True)
+        x_se_173 = torch.conv2d(
+            x_se_172,
+            l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_172 = l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_174 = torch.nn.functional.silu(x_se_173, inplace=True)
+        x_se_173 = None
+        x_se_175 = torch.conv2d(
+            x_se_174,
+            l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_174 = l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_43 = torch.sigmoid(x_se_175)
+        x_se_175 = None
+        x_512 = x_511 * sigmoid_43
+        x_511 = sigmoid_43 = None
+        x_513 = torch.conv2d(
+            x_512,
+            l_self_modules_blocks_modules_5_modules_20_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_512 = l_self_modules_blocks_modules_5_modules_20_modules_conv_pwl_parameters_weight_ = (None)
+        x_514 = torch.nn.functional.batch_norm(
+            x_513,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_513 = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_bias_
+        ) = None
+        x_515 = x_514 + x_505
+        x_514 = x_505 = None
+        x_516 = torch.conv2d(
+            x_515,
+            l_self_modules_blocks_modules_5_modules_21_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_21_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_517 = torch.nn.functional.batch_norm(
+            x_516,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_516 = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_bias_
+        ) = None
+        x_518 = torch.nn.functional.silu(x_517, inplace=True)
+        x_517 = None
+        x_519 = torch.conv2d(
+            x_518,
+            l_self_modules_blocks_modules_5_modules_21_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_518 = l_self_modules_blocks_modules_5_modules_21_modules_conv_dw_parameters_weight_ = (None)
+        x_520 = torch.nn.functional.batch_norm(
+            x_519,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_519 = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_bias_
+        ) = None
+        x_521 = torch.nn.functional.silu(x_520, inplace=True)
+        x_520 = None
+        x_se_176 = x_521.mean((2, 3), keepdim=True)
+        x_se_177 = torch.conv2d(
+            x_se_176,
+            l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_176 = l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_178 = torch.nn.functional.silu(x_se_177, inplace=True)
+        x_se_177 = None
+        x_se_179 = torch.conv2d(
+            x_se_178,
+            l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_178 = l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_44 = torch.sigmoid(x_se_179)
+        x_se_179 = None
+        x_522 = x_521 * sigmoid_44
+        x_521 = sigmoid_44 = None
+        x_523 = torch.conv2d(
+            x_522,
+            l_self_modules_blocks_modules_5_modules_21_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_522 = l_self_modules_blocks_modules_5_modules_21_modules_conv_pwl_parameters_weight_ = (None)
+        x_524 = torch.nn.functional.batch_norm(
+            x_523,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_523 = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_bias_
+        ) = None
+        x_525 = x_524 + x_515
+        x_524 = x_515 = None
+        x_526 = torch.conv2d(
+            x_525,
+            l_self_modules_blocks_modules_5_modules_22_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_22_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_527 = torch.nn.functional.batch_norm(
+            x_526,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_526 = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_bias_
+        ) = None
+        x_528 = torch.nn.functional.silu(x_527, inplace=True)
+        x_527 = None
+        x_529 = torch.conv2d(
+            x_528,
+            l_self_modules_blocks_modules_5_modules_22_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_528 = l_self_modules_blocks_modules_5_modules_22_modules_conv_dw_parameters_weight_ = (None)
+        x_530 = torch.nn.functional.batch_norm(
+            x_529,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_529 = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_bias_
+        ) = None
+        x_531 = torch.nn.functional.silu(x_530, inplace=True)
+        x_530 = None
+        x_se_180 = x_531.mean((2, 3), keepdim=True)
+        x_se_181 = torch.conv2d(
+            x_se_180,
+            l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_180 = l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_182 = torch.nn.functional.silu(x_se_181, inplace=True)
+        x_se_181 = None
+        x_se_183 = torch.conv2d(
+            x_se_182,
+            l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_182 = l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_45 = torch.sigmoid(x_se_183)
+        x_se_183 = None
+        x_532 = x_531 * sigmoid_45
+        x_531 = sigmoid_45 = None
+        x_533 = torch.conv2d(
+            x_532,
+            l_self_modules_blocks_modules_5_modules_22_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_532 = l_self_modules_blocks_modules_5_modules_22_modules_conv_pwl_parameters_weight_ = (None)
+        x_534 = torch.nn.functional.batch_norm(
+            x_533,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_533 = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_bias_
+        ) = None
+        x_535 = x_534 + x_525
+        x_534 = x_525 = None
+        x_536 = torch.conv2d(
+            x_535,
+            l_self_modules_blocks_modules_5_modules_23_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_23_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_537 = torch.nn.functional.batch_norm(
+            x_536,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_536 = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_bias_
+        ) = None
+        x_538 = torch.nn.functional.silu(x_537, inplace=True)
+        x_537 = None
+        x_539 = torch.conv2d(
+            x_538,
+            l_self_modules_blocks_modules_5_modules_23_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1968,
+        )
+        x_538 = l_self_modules_blocks_modules_5_modules_23_modules_conv_dw_parameters_weight_ = (None)
+        x_540 = torch.nn.functional.batch_norm(
+            x_539,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_539 = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_bias_
+        ) = None
+        x_541 = torch.nn.functional.silu(x_540, inplace=True)
+        x_540 = None
+        x_se_184 = x_541.mean((2, 3), keepdim=True)
+        x_se_185 = torch.conv2d(
+            x_se_184,
+            l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_184 = l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_186 = torch.nn.functional.silu(x_se_185, inplace=True)
+        x_se_185 = None
+        x_se_187 = torch.conv2d(
+            x_se_186,
+            l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_186 = l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_46 = torch.sigmoid(x_se_187)
+        x_se_187 = None
+        x_542 = x_541 * sigmoid_46
+        x_541 = sigmoid_46 = None
+        x_543 = torch.conv2d(
+            x_542,
+            l_self_modules_blocks_modules_5_modules_23_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_542 = l_self_modules_blocks_modules_5_modules_23_modules_conv_pwl_parameters_weight_ = (None)
+        x_544 = torch.nn.functional.batch_norm(
+            x_543,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_543 = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_bias_
+        ) = None
+        x_545 = x_544 + x_535
+        x_544 = x_535 = None
+        x_546 = torch.conv2d(
+            x_545,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_545 = l_self_modules_conv_head_parameters_weight_ = None
+        x_547 = torch.nn.functional.batch_norm(
+            x_546,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_546 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_548 = torch.nn.functional.silu(x_547, inplace=True)
+        x_547 = None
+        x_549 = torch.nn.functional.adaptive_avg_pool2d(x_548, 1)
+        x_548 = None
+        x_550 = x_549.flatten(1, -1)
+        x_549 = None
+        x_551 = torch._C._nn.linear(
+            x_550,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_550 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_551,)
diff --git a/samples/timm/efficientnetv2_rw_m.agc_in1k/weight_meta.py b/samples/timm/efficientnetv2_rw_m.agc_in1k/weight_meta.py
new file mode 100644
index 000000000..c8edcc41c
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_m.agc_in1k/weight_meta.py
@@ -0,0 +1,10816 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.080
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.248
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.239
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.255
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [128, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [224, 56, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.188
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [224, 56, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.187
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_"
+    )
+    shape = [224, 56, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.187
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_4_modules_conv_exp_parameters_weight_"
+    )
+    shape = [224, 56, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [224, 56, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [320, 80, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.157
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [320, 80, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_"
+    )
+    shape = [320, 80, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.159
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_exp_parameters_weight_"
+    )
+    shape = [320, 80, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.157
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [320, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.080
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [320, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.462
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [20, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.320
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [320, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [152, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [608, 152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [608, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [38, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.230
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [38]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [608, 38, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [152, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [608, 152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [608, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [38, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.228
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [38]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [608, 38, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [152, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [608, 152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [608, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [38, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.231
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [38]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [608, 38, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [152, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [608, 152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [608, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.476
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [38, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.230
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [38]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [608, 38, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [152, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [608, 152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [608, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.477
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [38, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.230
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [38]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [608, 38, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [152, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [608, 152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn1_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [608, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.014
+    std = 0.478
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn2_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [38, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.230
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [38]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [608, 38, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [152, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_buffers_running_var_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_weight_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_6_modules_bn3_parameters_bias_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_7_modules_conv_pw_parameters_weight_"
+    )
+    shape = [608, 152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn1_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn1_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_7_modules_conv_dw_parameters_weight_"
+    )
+    shape = [608, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn2_buffers_running_var_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_weight_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn2_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [38, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.230
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [38]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [608, 38, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [608]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_7_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [152, 608, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn3_buffers_running_var_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_weight_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_7_modules_bn3_parameters_bias_"
+    shape = [152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [912, 152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [912]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [912]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [912]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [912]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [912, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [912]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [912]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [912]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [912]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [38, 912, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.228
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [38]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [912, 38, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [912]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 912, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.479
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.467
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.464
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_9_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_9_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_9_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_9_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_10_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_10_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_10_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_mean_"
+    )
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_10_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_11_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_11_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_11_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_mean_"
+    )
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_11_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_12_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_12_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_12_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_mean_"
+    )
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_12_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_13_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_13_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_13_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_mean_"
+    )
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_13_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_14_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_14_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_14_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_mean_"
+    )
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_14_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.157
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.467
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.467
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.157
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_15_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_15_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_15_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_15_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_16_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_16_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_16_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_16_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_17_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_17_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_17_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_17_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_18_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_18_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_18_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_18_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_19_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_19_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_19_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_19_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_20_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_20_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.476
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_20_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_20_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_21_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_21_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_21_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_21_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_22_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_22_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_22_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_22_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_23_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1968, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_bn1_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_bn1_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_23_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1968, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_bn2_buffers_running_var_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_weight_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_bn2_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [82, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.155
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [82]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1968, 82, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1968]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_23_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [328, 1968, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_mean_"
+    )
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_bn3_buffers_running_var_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_weight_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_23_modules_bn3_parameters_bias_"
+    shape = [328]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [2152, 328, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [2152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [2152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [2152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [2152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 2152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnetv2_rw_s.ra2_in1k/graph_hash.txt b/samples/timm/efficientnetv2_rw_s.ra2_in1k/graph_hash.txt
new file mode 100644
index 000000000..c1e2b38c0
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_s.ra2_in1k/graph_hash.txt
@@ -0,0 +1 @@
+e6661ae67f12831826cbd38aaf86b26f67bb90d1bcebab41602864dc0a344c32
\ No newline at end of file
diff --git a/samples/timm/efficientnetv2_rw_s.ra2_in1k/graph_net.json b/samples/timm/efficientnetv2_rw_s.ra2_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_s.ra2_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnetv2_rw_s.ra2_in1k/input_meta.py b/samples/timm/efficientnetv2_rw_s.ra2_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnetv2_rw_s.ra2_in1k/input_tensor_constraints.py b/samples/timm/efficientnetv2_rw_s.ra2_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnetv2_rw_s.ra2_in1k/model.py b/samples/timm/efficientnetv2_rw_s.ra2_in1k/model.py
new file mode 100644
index 000000000..87fe8e6ef
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_s.ra2_in1k/model.py
@@ -0,0 +1,6777 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.silu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.silu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = x_7 + x_2
+        x_7 = x_2 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_11 = torch.nn.functional.silu(x_10, inplace=True)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_14 = x_13 + x_8
+        x_13 = x_8 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_17 = torch.nn.functional.silu(x_16, inplace=True)
+        x_16 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_22 = torch.nn.functional.silu(x_21, inplace=True)
+        x_21 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_25 = x_24 + x_19
+        x_24 = x_19 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_28 = torch.nn.functional.silu(x_27, inplace=True)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_30 = torch.nn.functional.batch_norm(
+            x_29,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_31 = x_30 + x_25
+        x_30 = x_25 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_34 = torch.nn.functional.silu(x_33, inplace=True)
+        x_33 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_34 = l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_37 = x_36 + x_31
+        x_36 = x_31 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_37 = l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_40 = torch.nn.functional.silu(x_39, inplace=True)
+        x_39 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_40 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_42 = torch.nn.functional.batch_norm(
+            x_41,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_41 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_45 = torch.nn.functional.silu(x_44, inplace=True)
+        x_44 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_45 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_48 = x_47 + x_42
+        x_47 = x_42 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_51 = torch.nn.functional.silu(x_50, inplace=True)
+        x_50 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_54 = x_53 + x_48
+        x_53 = x_48 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_57 = torch.nn.functional.silu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_60 = x_59 + x_54
+        x_59 = x_54 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_63 = torch.nn.functional.silu(x_62, inplace=True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_66 = torch.nn.functional.silu(x_65, inplace=True)
+        x_65 = None
+        x_se = x_66.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.silu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid = torch.sigmoid(x_se_3)
+        x_se_3 = None
+        x_67 = x_66 * sigmoid
+        x_66 = sigmoid = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_67 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_72 = torch.nn.functional.silu(x_71, inplace=True)
+        x_71 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_75 = torch.nn.functional.silu(x_74, inplace=True)
+        x_74 = None
+        x_se_4 = x_75.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.silu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_1 = torch.sigmoid(x_se_7)
+        x_se_7 = None
+        x_76 = x_75 * sigmoid_1
+        x_75 = sigmoid_1 = None
+        x_77 = torch.conv2d(
+            x_76,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_76 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_78 = torch.nn.functional.batch_norm(
+            x_77,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_77 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_79 = x_78 + x_69
+        x_78 = x_69 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_82 = torch.nn.functional.silu(x_81, inplace=True)
+        x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_85 = torch.nn.functional.silu(x_84, inplace=True)
+        x_84 = None
+        x_se_8 = x_85.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.silu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_2 = torch.sigmoid(x_se_11)
+        x_se_11 = None
+        x_86 = x_85 * sigmoid_2
+        x_85 = sigmoid_2 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_89 = x_88 + x_79
+        x_88 = x_79 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_92 = torch.nn.functional.silu(x_91, inplace=True)
+        x_91 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_94 = torch.nn.functional.batch_norm(
+            x_93,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_95 = torch.nn.functional.silu(x_94, inplace=True)
+        x_94 = None
+        x_se_12 = x_95.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.silu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_3 = torch.sigmoid(x_se_15)
+        x_se_15 = None
+        x_96 = x_95 * sigmoid_3
+        x_95 = sigmoid_3 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_99 = x_98 + x_89
+        x_98 = x_89 = None
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_102 = torch.nn.functional.silu(x_101, inplace=True)
+        x_101 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_105 = torch.nn.functional.silu(x_104, inplace=True)
+        x_104 = None
+        x_se_16 = x_105.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.silu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_4 = torch.sigmoid(x_se_19)
+        x_se_19 = None
+        x_106 = x_105 * sigmoid_4
+        x_105 = sigmoid_4 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_109 = x_108 + x_99
+        x_108 = x_99 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_112 = torch.nn.functional.silu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_115 = torch.nn.functional.silu(x_114, inplace=True)
+        x_114 = None
+        x_se_20 = x_115.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.silu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_5 = torch.sigmoid(x_se_23)
+        x_se_23 = None
+        x_116 = x_115 * sigmoid_5
+        x_115 = sigmoid_5 = None
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_116 = l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_119 = x_118 + x_109
+        x_118 = x_109 = None
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_119 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_121 = torch.nn.functional.batch_norm(
+            x_120,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_122 = torch.nn.functional.silu(x_121, inplace=True)
+        x_121 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_125 = torch.nn.functional.silu(x_124, inplace=True)
+        x_124 = None
+        x_se_24 = x_125.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.silu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_6 = torch.sigmoid(x_se_27)
+        x_se_27 = None
+        x_126 = x_125 * sigmoid_6
+        x_125 = sigmoid_6 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_130 = torch.nn.functional.batch_norm(
+            x_129,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_129 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_131 = torch.nn.functional.silu(x_130, inplace=True)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_133 = torch.nn.functional.batch_norm(
+            x_132,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_134 = torch.nn.functional.silu(x_133, inplace=True)
+        x_133 = None
+        x_se_28 = x_134.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.silu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_7 = torch.sigmoid(x_se_31)
+        x_se_31 = None
+        x_135 = x_134 * sigmoid_7
+        x_134 = sigmoid_7 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_135 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_137 = torch.nn.functional.batch_norm(
+            x_136,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_138 = x_137 + x_128
+        x_137 = x_128 = None
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_141 = torch.nn.functional.silu(x_140, inplace=True)
+        x_140 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_143 = torch.nn.functional.batch_norm(
+            x_142,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_144 = torch.nn.functional.silu(x_143, inplace=True)
+        x_143 = None
+        x_se_32 = x_144.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.silu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_8 = torch.sigmoid(x_se_35)
+        x_se_35 = None
+        x_145 = x_144 * sigmoid_8
+        x_144 = sigmoid_8 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_148 = x_147 + x_138
+        x_147 = x_138 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_151 = torch.nn.functional.silu(x_150, inplace=True)
+        x_150 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        x_151 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_154 = torch.nn.functional.silu(x_153, inplace=True)
+        x_153 = None
+        x_se_36 = x_154.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.silu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_9 = torch.sigmoid(x_se_39)
+        x_se_39 = None
+        x_155 = x_154 * sigmoid_9
+        x_154 = sigmoid_9 = None
+        x_156 = torch.conv2d(
+            x_155,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_155 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_157 = torch.nn.functional.batch_norm(
+            x_156,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_156 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_158 = x_157 + x_148
+        x_157 = x_148 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_160 = torch.nn.functional.batch_norm(
+            x_159,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_159 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_161 = torch.nn.functional.silu(x_160, inplace=True)
+        x_160 = None
+        x_162 = torch.conv2d(
+            x_161,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        x_161 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_163 = torch.nn.functional.batch_norm(
+            x_162,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_164 = torch.nn.functional.silu(x_163, inplace=True)
+        x_163 = None
+        x_se_40 = x_164.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.silu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_10 = torch.sigmoid(x_se_43)
+        x_se_43 = None
+        x_165 = x_164 * sigmoid_10
+        x_164 = sigmoid_10 = None
+        x_166 = torch.conv2d(
+            x_165,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_165 = l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_167 = torch.nn.functional.batch_norm(
+            x_166,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_166 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_168 = x_167 + x_158
+        x_167 = x_158 = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_170 = torch.nn.functional.batch_norm(
+            x_169,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_169 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_171 = torch.nn.functional.silu(x_170, inplace=True)
+        x_170 = None
+        x_172 = torch.conv2d(
+            x_171,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        x_171 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_173 = torch.nn.functional.batch_norm(
+            x_172,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_172 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_174 = torch.nn.functional.silu(x_173, inplace=True)
+        x_173 = None
+        x_se_44 = x_174.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.silu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_11 = torch.sigmoid(x_se_47)
+        x_se_47 = None
+        x_175 = x_174 * sigmoid_11
+        x_174 = sigmoid_11 = None
+        x_176 = torch.conv2d(
+            x_175,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_175 = l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_177 = torch.nn.functional.batch_norm(
+            x_176,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_176 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_178 = x_177 + x_168
+        x_177 = x_168 = None
+        x_179 = torch.conv2d(
+            x_178,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_180 = torch.nn.functional.batch_norm(
+            x_179,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_179 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_181 = torch.nn.functional.silu(x_180, inplace=True)
+        x_180 = None
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        x_181 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_183 = torch.nn.functional.batch_norm(
+            x_182,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_182 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_184 = torch.nn.functional.silu(x_183, inplace=True)
+        x_183 = None
+        x_se_48 = x_184.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.silu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_12 = torch.sigmoid(x_se_51)
+        x_se_51 = None
+        x_185 = x_184 * sigmoid_12
+        x_184 = sigmoid_12 = None
+        x_186 = torch.conv2d(
+            x_185,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_185 = l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_187 = torch.nn.functional.batch_norm(
+            x_186,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_186 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_188 = x_187 + x_178
+        x_187 = x_178 = None
+        x_189 = torch.conv2d(
+            x_188,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_190 = torch.nn.functional.batch_norm(
+            x_189,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_189 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_
+        ) = None
+        x_191 = torch.nn.functional.silu(x_190, inplace=True)
+        x_190 = None
+        x_192 = torch.conv2d(
+            x_191,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        x_191 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_
+        ) = None
+        x_193 = torch.nn.functional.batch_norm(
+            x_192,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_192 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_
+        ) = None
+        x_194 = torch.nn.functional.silu(x_193, inplace=True)
+        x_193 = None
+        x_se_52 = x_194.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.silu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_13 = torch.sigmoid(x_se_55)
+        x_se_55 = None
+        x_195 = x_194 * sigmoid_13
+        x_194 = sigmoid_13 = None
+        x_196 = torch.conv2d(
+            x_195,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_195 = l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_ = (None)
+        x_197 = torch.nn.functional.batch_norm(
+            x_196,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_196 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_
+        ) = None
+        x_198 = x_197 + x_188
+        x_197 = x_188 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_200 = torch.nn.functional.batch_norm(
+            x_199,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_199 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_
+        ) = None
+        x_201 = torch.nn.functional.silu(x_200, inplace=True)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        x_201 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_
+        ) = None
+        x_203 = torch.nn.functional.batch_norm(
+            x_202,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_202 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_
+        ) = None
+        x_204 = torch.nn.functional.silu(x_203, inplace=True)
+        x_203 = None
+        x_se_56 = x_204.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.silu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_14 = torch.sigmoid(x_se_59)
+        x_se_59 = None
+        x_205 = x_204 * sigmoid_14
+        x_204 = sigmoid_14 = None
+        x_206 = torch.conv2d(
+            x_205,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_205 = l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_ = (None)
+        x_207 = torch.nn.functional.batch_norm(
+            x_206,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_206 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_
+        ) = None
+        x_208 = x_207 + x_198
+        x_207 = x_198 = None
+        x_209 = torch.conv2d(
+            x_208,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_208 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_210 = torch.nn.functional.batch_norm(
+            x_209,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_209 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_211 = torch.nn.functional.silu(x_210, inplace=True)
+        x_210 = None
+        x_212 = torch.conv2d(
+            x_211,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        x_211 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_213 = torch.nn.functional.batch_norm(
+            x_212,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_212 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_214 = torch.nn.functional.silu(x_213, inplace=True)
+        x_213 = None
+        x_se_60 = x_214.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.silu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_15 = torch.sigmoid(x_se_63)
+        x_se_63 = None
+        x_215 = x_214 * sigmoid_15
+        x_214 = sigmoid_15 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_215 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_217 = torch.nn.functional.batch_norm(
+            x_216,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_216 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_218 = torch.conv2d(
+            x_217,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_219 = torch.nn.functional.batch_norm(
+            x_218,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_218 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_220 = torch.nn.functional.silu(x_219, inplace=True)
+        x_219 = None
+        x_221 = torch.conv2d(
+            x_220,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_220 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_222 = torch.nn.functional.batch_norm(
+            x_221,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_221 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_223 = torch.nn.functional.silu(x_222, inplace=True)
+        x_222 = None
+        x_se_64 = x_223.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.silu(x_se_65, inplace=True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_16 = torch.sigmoid(x_se_67)
+        x_se_67 = None
+        x_224 = x_223 * sigmoid_16
+        x_223 = sigmoid_16 = None
+        x_225 = torch.conv2d(
+            x_224,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_224 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_226 = torch.nn.functional.batch_norm(
+            x_225,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_225 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_227 = x_226 + x_217
+        x_226 = x_217 = None
+        x_228 = torch.conv2d(
+            x_227,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_229 = torch.nn.functional.batch_norm(
+            x_228,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_228 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_230 = torch.nn.functional.silu(x_229, inplace=True)
+        x_229 = None
+        x_231 = torch.conv2d(
+            x_230,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_230 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_232 = torch.nn.functional.batch_norm(
+            x_231,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_231 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_233 = torch.nn.functional.silu(x_232, inplace=True)
+        x_232 = None
+        x_se_68 = x_233.mean((2, 3), keepdim=True)
+        x_se_69 = torch.conv2d(
+            x_se_68,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_68 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_70 = torch.nn.functional.silu(x_se_69, inplace=True)
+        x_se_69 = None
+        x_se_71 = torch.conv2d(
+            x_se_70,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_70 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_17 = torch.sigmoid(x_se_71)
+        x_se_71 = None
+        x_234 = x_233 * sigmoid_17
+        x_233 = sigmoid_17 = None
+        x_235 = torch.conv2d(
+            x_234,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_234 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_236 = torch.nn.functional.batch_norm(
+            x_235,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_235 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_237 = x_236 + x_227
+        x_236 = x_227 = None
+        x_238 = torch.conv2d(
+            x_237,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_239 = torch.nn.functional.batch_norm(
+            x_238,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_238 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_240 = torch.nn.functional.silu(x_239, inplace=True)
+        x_239 = None
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_240 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_242 = torch.nn.functional.batch_norm(
+            x_241,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_241 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_243 = torch.nn.functional.silu(x_242, inplace=True)
+        x_242 = None
+        x_se_72 = x_243.mean((2, 3), keepdim=True)
+        x_se_73 = torch.conv2d(
+            x_se_72,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_72 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_74 = torch.nn.functional.silu(x_se_73, inplace=True)
+        x_se_73 = None
+        x_se_75 = torch.conv2d(
+            x_se_74,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_74 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_18 = torch.sigmoid(x_se_75)
+        x_se_75 = None
+        x_244 = x_243 * sigmoid_18
+        x_243 = sigmoid_18 = None
+        x_245 = torch.conv2d(
+            x_244,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_244 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_246 = torch.nn.functional.batch_norm(
+            x_245,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_245 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_247 = x_246 + x_237
+        x_246 = x_237 = None
+        x_248 = torch.conv2d(
+            x_247,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_249 = torch.nn.functional.batch_norm(
+            x_248,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_248 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_250 = torch.nn.functional.silu(x_249, inplace=True)
+        x_249 = None
+        x_251 = torch.conv2d(
+            x_250,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_250 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_252 = torch.nn.functional.batch_norm(
+            x_251,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_251 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_253 = torch.nn.functional.silu(x_252, inplace=True)
+        x_252 = None
+        x_se_76 = x_253.mean((2, 3), keepdim=True)
+        x_se_77 = torch.conv2d(
+            x_se_76,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_76 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_78 = torch.nn.functional.silu(x_se_77, inplace=True)
+        x_se_77 = None
+        x_se_79 = torch.conv2d(
+            x_se_78,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_78 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_19 = torch.sigmoid(x_se_79)
+        x_se_79 = None
+        x_254 = x_253 * sigmoid_19
+        x_253 = sigmoid_19 = None
+        x_255 = torch.conv2d(
+            x_254,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_254 = l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_256 = torch.nn.functional.batch_norm(
+            x_255,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_255 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_257 = x_256 + x_247
+        x_256 = x_247 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_259 = torch.nn.functional.batch_norm(
+            x_258,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_258 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_260 = torch.nn.functional.silu(x_259, inplace=True)
+        x_259 = None
+        x_261 = torch.conv2d(
+            x_260,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_260 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_262 = torch.nn.functional.batch_norm(
+            x_261,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_261 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_263 = torch.nn.functional.silu(x_262, inplace=True)
+        x_262 = None
+        x_se_80 = x_263.mean((2, 3), keepdim=True)
+        x_se_81 = torch.conv2d(
+            x_se_80,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_80 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_82 = torch.nn.functional.silu(x_se_81, inplace=True)
+        x_se_81 = None
+        x_se_83 = torch.conv2d(
+            x_se_82,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_82 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_20 = torch.sigmoid(x_se_83)
+        x_se_83 = None
+        x_264 = x_263 * sigmoid_20
+        x_263 = sigmoid_20 = None
+        x_265 = torch.conv2d(
+            x_264,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_264 = l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_266 = torch.nn.functional.batch_norm(
+            x_265,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_265 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_267 = x_266 + x_257
+        x_266 = x_257 = None
+        x_268 = torch.conv2d(
+            x_267,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_269 = torch.nn.functional.batch_norm(
+            x_268,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_268 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_270 = torch.nn.functional.silu(x_269, inplace=True)
+        x_269 = None
+        x_271 = torch.conv2d(
+            x_270,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_270 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_272 = torch.nn.functional.batch_norm(
+            x_271,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_271 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_273 = torch.nn.functional.silu(x_272, inplace=True)
+        x_272 = None
+        x_se_84 = x_273.mean((2, 3), keepdim=True)
+        x_se_85 = torch.conv2d(
+            x_se_84,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_84 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_86 = torch.nn.functional.silu(x_se_85, inplace=True)
+        x_se_85 = None
+        x_se_87 = torch.conv2d(
+            x_se_86,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_86 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_21 = torch.sigmoid(x_se_87)
+        x_se_87 = None
+        x_274 = x_273 * sigmoid_21
+        x_273 = sigmoid_21 = None
+        x_275 = torch.conv2d(
+            x_274,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_274 = l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_276 = torch.nn.functional.batch_norm(
+            x_275,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_275 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_277 = x_276 + x_267
+        x_276 = x_267 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_279 = torch.nn.functional.batch_norm(
+            x_278,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_278 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        ) = None
+        x_280 = torch.nn.functional.silu(x_279, inplace=True)
+        x_279 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_280 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        ) = None
+        x_282 = torch.nn.functional.batch_norm(
+            x_281,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_281 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        ) = None
+        x_283 = torch.nn.functional.silu(x_282, inplace=True)
+        x_282 = None
+        x_se_88 = x_283.mean((2, 3), keepdim=True)
+        x_se_89 = torch.conv2d(
+            x_se_88,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_88 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_90 = torch.nn.functional.silu(x_se_89, inplace=True)
+        x_se_89 = None
+        x_se_91 = torch.conv2d(
+            x_se_90,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_90 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_22 = torch.sigmoid(x_se_91)
+        x_se_91 = None
+        x_284 = x_283 * sigmoid_22
+        x_283 = sigmoid_22 = None
+        x_285 = torch.conv2d(
+            x_284,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_284 = l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = (None)
+        x_286 = torch.nn.functional.batch_norm(
+            x_285,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_285 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        ) = None
+        x_287 = x_286 + x_277
+        x_286 = x_277 = None
+        x_288 = torch.conv2d(
+            x_287,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_289 = torch.nn.functional.batch_norm(
+            x_288,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_288 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_
+        ) = None
+        x_290 = torch.nn.functional.silu(x_289, inplace=True)
+        x_289 = None
+        x_291 = torch.conv2d(
+            x_290,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_290 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_
+        ) = None
+        x_292 = torch.nn.functional.batch_norm(
+            x_291,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_291 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_
+        ) = None
+        x_293 = torch.nn.functional.silu(x_292, inplace=True)
+        x_292 = None
+        x_se_92 = x_293.mean((2, 3), keepdim=True)
+        x_se_93 = torch.conv2d(
+            x_se_92,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_92 = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_94 = torch.nn.functional.silu(x_se_93, inplace=True)
+        x_se_93 = None
+        x_se_95 = torch.conv2d(
+            x_se_94,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_94 = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_23 = torch.sigmoid(x_se_95)
+        x_se_95 = None
+        x_294 = x_293 * sigmoid_23
+        x_293 = sigmoid_23 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_ = (None)
+        x_296 = torch.nn.functional.batch_norm(
+            x_295,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_295 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_
+        ) = None
+        x_297 = x_296 + x_287
+        x_296 = x_287 = None
+        x_298 = torch.conv2d(
+            x_297,
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_299 = torch.nn.functional.batch_norm(
+            x_298,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_298 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_
+        ) = None
+        x_300 = torch.nn.functional.silu(x_299, inplace=True)
+        x_299 = None
+        x_301 = torch.conv2d(
+            x_300,
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_300 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_
+        ) = None
+        x_302 = torch.nn.functional.batch_norm(
+            x_301,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_301 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_
+        ) = None
+        x_303 = torch.nn.functional.silu(x_302, inplace=True)
+        x_302 = None
+        x_se_96 = x_303.mean((2, 3), keepdim=True)
+        x_se_97 = torch.conv2d(
+            x_se_96,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_96 = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_98 = torch.nn.functional.silu(x_se_97, inplace=True)
+        x_se_97 = None
+        x_se_99 = torch.conv2d(
+            x_se_98,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_98 = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_24 = torch.sigmoid(x_se_99)
+        x_se_99 = None
+        x_304 = x_303 * sigmoid_24
+        x_303 = sigmoid_24 = None
+        x_305 = torch.conv2d(
+            x_304,
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_304 = l_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_ = (None)
+        x_306 = torch.nn.functional.batch_norm(
+            x_305,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_305 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_
+        ) = None
+        x_307 = x_306 + x_297
+        x_306 = x_297 = None
+        x_308 = torch.conv2d(
+            x_307,
+            l_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_309 = torch.nn.functional.batch_norm(
+            x_308,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_308 = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_
+        ) = None
+        x_310 = torch.nn.functional.silu(x_309, inplace=True)
+        x_309 = None
+        x_311 = torch.conv2d(
+            x_310,
+            l_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_310 = l_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_ = (None)
+        x_312 = torch.nn.functional.batch_norm(
+            x_311,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_311 = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_
+        ) = None
+        x_313 = torch.nn.functional.silu(x_312, inplace=True)
+        x_312 = None
+        x_se_100 = x_313.mean((2, 3), keepdim=True)
+        x_se_101 = torch.conv2d(
+            x_se_100,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_100 = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_102 = torch.nn.functional.silu(x_se_101, inplace=True)
+        x_se_101 = None
+        x_se_103 = torch.conv2d(
+            x_se_102,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_102 = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_25 = torch.sigmoid(x_se_103)
+        x_se_103 = None
+        x_314 = x_313 * sigmoid_25
+        x_313 = sigmoid_25 = None
+        x_315 = torch.conv2d(
+            x_314,
+            l_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_314 = l_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_ = (None)
+        x_316 = torch.nn.functional.batch_norm(
+            x_315,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_315 = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_
+        ) = None
+        x_317 = x_316 + x_307
+        x_316 = x_307 = None
+        x_318 = torch.conv2d(
+            x_317,
+            l_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_319 = torch.nn.functional.batch_norm(
+            x_318,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_318 = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_
+        ) = None
+        x_320 = torch.nn.functional.silu(x_319, inplace=True)
+        x_319 = None
+        x_321 = torch.conv2d(
+            x_320,
+            l_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_320 = l_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_ = (None)
+        x_322 = torch.nn.functional.batch_norm(
+            x_321,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_321 = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_
+        ) = None
+        x_323 = torch.nn.functional.silu(x_322, inplace=True)
+        x_322 = None
+        x_se_104 = x_323.mean((2, 3), keepdim=True)
+        x_se_105 = torch.conv2d(
+            x_se_104,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_104 = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_106 = torch.nn.functional.silu(x_se_105, inplace=True)
+        x_se_105 = None
+        x_se_107 = torch.conv2d(
+            x_se_106,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_106 = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_26 = torch.sigmoid(x_se_107)
+        x_se_107 = None
+        x_324 = x_323 * sigmoid_26
+        x_323 = sigmoid_26 = None
+        x_325 = torch.conv2d(
+            x_324,
+            l_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_324 = l_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_ = (None)
+        x_326 = torch.nn.functional.batch_norm(
+            x_325,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_325 = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_
+        ) = None
+        x_327 = x_326 + x_317
+        x_326 = x_317 = None
+        x_328 = torch.conv2d(
+            x_327,
+            l_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_329 = torch.nn.functional.batch_norm(
+            x_328,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_328 = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_
+        ) = None
+        x_330 = torch.nn.functional.silu(x_329, inplace=True)
+        x_329 = None
+        x_331 = torch.conv2d(
+            x_330,
+            l_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_330 = l_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_ = (None)
+        x_332 = torch.nn.functional.batch_norm(
+            x_331,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_331 = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_
+        ) = None
+        x_333 = torch.nn.functional.silu(x_332, inplace=True)
+        x_332 = None
+        x_se_108 = x_333.mean((2, 3), keepdim=True)
+        x_se_109 = torch.conv2d(
+            x_se_108,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_108 = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_110 = torch.nn.functional.silu(x_se_109, inplace=True)
+        x_se_109 = None
+        x_se_111 = torch.conv2d(
+            x_se_110,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_110 = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_27 = torch.sigmoid(x_se_111)
+        x_se_111 = None
+        x_334 = x_333 * sigmoid_27
+        x_333 = sigmoid_27 = None
+        x_335 = torch.conv2d(
+            x_334,
+            l_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_334 = l_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_ = (None)
+        x_336 = torch.nn.functional.batch_norm(
+            x_335,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_335 = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_
+        ) = None
+        x_337 = x_336 + x_327
+        x_336 = x_327 = None
+        x_338 = torch.conv2d(
+            x_337,
+            l_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_339 = torch.nn.functional.batch_norm(
+            x_338,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_338 = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_
+        ) = None
+        x_340 = torch.nn.functional.silu(x_339, inplace=True)
+        x_339 = None
+        x_341 = torch.conv2d(
+            x_340,
+            l_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_340 = l_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_ = (None)
+        x_342 = torch.nn.functional.batch_norm(
+            x_341,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_341 = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_
+        ) = None
+        x_343 = torch.nn.functional.silu(x_342, inplace=True)
+        x_342 = None
+        x_se_112 = x_343.mean((2, 3), keepdim=True)
+        x_se_113 = torch.conv2d(
+            x_se_112,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_112 = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_114 = torch.nn.functional.silu(x_se_113, inplace=True)
+        x_se_113 = None
+        x_se_115 = torch.conv2d(
+            x_se_114,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_114 = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_28 = torch.sigmoid(x_se_115)
+        x_se_115 = None
+        x_344 = x_343 * sigmoid_28
+        x_343 = sigmoid_28 = None
+        x_345 = torch.conv2d(
+            x_344,
+            l_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_344 = l_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_ = (None)
+        x_346 = torch.nn.functional.batch_norm(
+            x_345,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_345 = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_
+        ) = None
+        x_347 = x_346 + x_337
+        x_346 = x_337 = None
+        x_348 = torch.conv2d(
+            x_347,
+            l_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_349 = torch.nn.functional.batch_norm(
+            x_348,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_348 = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_
+        ) = None
+        x_350 = torch.nn.functional.silu(x_349, inplace=True)
+        x_349 = None
+        x_351 = torch.conv2d(
+            x_350,
+            l_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1632,
+        )
+        x_350 = l_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_ = (None)
+        x_352 = torch.nn.functional.batch_norm(
+            x_351,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_351 = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_
+        ) = None
+        x_353 = torch.nn.functional.silu(x_352, inplace=True)
+        x_352 = None
+        x_se_116 = x_353.mean((2, 3), keepdim=True)
+        x_se_117 = torch.conv2d(
+            x_se_116,
+            l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_116 = l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_118 = torch.nn.functional.silu(x_se_117, inplace=True)
+        x_se_117 = None
+        x_se_119 = torch.conv2d(
+            x_se_118,
+            l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_118 = l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_29 = torch.sigmoid(x_se_119)
+        x_se_119 = None
+        x_354 = x_353 * sigmoid_29
+        x_353 = sigmoid_29 = None
+        x_355 = torch.conv2d(
+            x_354,
+            l_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_354 = l_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_ = (None)
+        x_356 = torch.nn.functional.batch_norm(
+            x_355,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_355 = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_
+        ) = None
+        x_357 = x_356 + x_347
+        x_356 = x_347 = None
+        x_358 = torch.conv2d(
+            x_357,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_357 = l_self_modules_conv_head_parameters_weight_ = None
+        x_359 = torch.nn.functional.batch_norm(
+            x_358,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_358 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_360 = torch.nn.functional.silu(x_359, inplace=True)
+        x_359 = None
+        x_361 = torch.nn.functional.adaptive_avg_pool2d(x_360, 1)
+        x_360 = None
+        x_362 = x_361.flatten(1, -1)
+        x_361 = None
+        x_363 = torch._C._nn.linear(
+            x_362,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_362 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_363,)
diff --git a/samples/timm/efficientnetv2_rw_s.ra2_in1k/weight_meta.py b/samples/timm/efficientnetv2_rw_s.ra2_in1k/weight_meta.py
new file mode 100644
index 000000000..9f60172eb
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_s.ra2_in1k/weight_meta.py
@@ -0,0 +1,7088 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [24, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [24, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.019
+    std = 0.295
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [24, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [96, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.206
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [192, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [192, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_"
+    )
+    shape = [192, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [192, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [256, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [256, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_"
+    )
+    shape = [256, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.016
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.350
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [256, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [512, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [512, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.465
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.247
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [512, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.465
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.252
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [512, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.477
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [512, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.478
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.467
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.476
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.477
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_"
+    )
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.476
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_"
+    )
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_"
+    )
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_"
+    )
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1632, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn1_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn1_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1632, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn2_buffers_running_var_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_weight_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn2_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [68, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [68]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1632, 68, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [272, 1632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_mean_"
+    )
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn3_buffers_running_var_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_weight_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_14_modules_bn3_parameters_bias_"
+    shape = [272]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1792, 272, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/efficientnetv2_rw_t.ra2_in1k/graph_hash.txt b/samples/timm/efficientnetv2_rw_t.ra2_in1k/graph_hash.txt
new file mode 100644
index 000000000..b723b7a7c
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_t.ra2_in1k/graph_hash.txt
@@ -0,0 +1 @@
+bba425bd0223ccb8011078c06b6af198bf1e0562b2b8baeabf06471dc2c98717
\ No newline at end of file
diff --git a/samples/timm/efficientnetv2_rw_t.ra2_in1k/graph_net.json b/samples/timm/efficientnetv2_rw_t.ra2_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_t.ra2_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/efficientnetv2_rw_t.ra2_in1k/input_meta.py b/samples/timm/efficientnetv2_rw_t.ra2_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnetv2_rw_t.ra2_in1k/input_tensor_constraints.py b/samples/timm/efficientnetv2_rw_t.ra2_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/efficientnetv2_rw_t.ra2_in1k/model.py b/samples/timm/efficientnetv2_rw_t.ra2_in1k/model.py
new file mode 100644
index 000000000..86477dac7
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_t.ra2_in1k/model.py
@@ -0,0 +1,6499 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.silu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.silu(x_4, inplace=True)
+        x_4 = None
+        x_6 = x_5 + x_2
+        x_5 = x_2 = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_parameters_weight_ = None
+        x_8 = torch.nn.functional.batch_norm(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_9 = torch.nn.functional.silu(x_8, inplace=True)
+        x_8 = None
+        x_10 = x_9 + x_6
+        x_9 = x_6 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_10 = l_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_13 = torch.nn.functional.silu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.silu(x_17, inplace=True)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_18 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_21 = x_20 + x_15
+        x_20 = x_15 = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_24 = torch.nn.functional.silu(x_23, inplace=True)
+        x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_27 = x_26 + x_21
+        x_26 = x_21 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_30 = torch.nn.functional.silu(x_29, inplace=True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_33 = x_32 + x_27
+        x_32 = x_27 = None
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_33 = l_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_36 = torch.nn.functional.silu(x_35, inplace=True)
+        x_35 = None
+        x_37 = torch.conv2d(
+            x_36,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_36 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_38 = torch.nn.functional.batch_norm(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_41 = torch.nn.functional.silu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_44 = x_43 + x_38
+        x_43 = x_38 = None
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_47 = torch.nn.functional.silu(x_46, inplace=True)
+        x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_47 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_50 = x_49 + x_44
+        x_49 = x_44 = None
+        x_51 = torch.conv2d(
+            x_50,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_ = (
+            None
+        )
+        x_52 = torch.nn.functional.batch_norm(
+            x_51,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_51 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_53 = torch.nn.functional.silu(x_52, inplace=True)
+        x_52 = None
+        x_54 = torch.conv2d(
+            x_53,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_53 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_55 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_54 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_56 = x_55 + x_50
+        x_55 = x_50 = None
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_59 = torch.nn.functional.silu(x_58, inplace=True)
+        x_58 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_62 = torch.nn.functional.silu(x_61, inplace=True)
+        x_61 = None
+        x_se = x_62.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.silu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid = torch.sigmoid(x_se_3)
+        x_se_3 = None
+        x_63 = x_62 * sigmoid
+        x_62 = sigmoid = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_68 = torch.nn.functional.silu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            416,
+        )
+        x_68 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_71 = torch.nn.functional.silu(x_70, inplace=True)
+        x_70 = None
+        x_se_4 = x_71.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.silu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_1 = torch.sigmoid(x_se_7)
+        x_se_7 = None
+        x_72 = x_71 * sigmoid_1
+        x_71 = sigmoid_1 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_72 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_75 = x_74 + x_65
+        x_74 = x_65 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_78 = torch.nn.functional.silu(x_77, inplace=True)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            416,
+        )
+        x_78 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.silu(x_80, inplace=True)
+        x_80 = None
+        x_se_8 = x_81.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.silu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_2 = torch.sigmoid(x_se_11)
+        x_se_11 = None
+        x_82 = x_81 * sigmoid_2
+        x_81 = sigmoid_2 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_85 = x_84 + x_75
+        x_84 = x_75 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_88 = torch.nn.functional.silu(x_87, inplace=True)
+        x_87 = None
+        x_89 = torch.conv2d(
+            x_88,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            416,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_91 = torch.nn.functional.silu(x_90, inplace=True)
+        x_90 = None
+        x_se_12 = x_91.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.silu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_3 = torch.sigmoid(x_se_15)
+        x_se_15 = None
+        x_92 = x_91 * sigmoid_3
+        x_91 = sigmoid_3 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_94 = torch.nn.functional.batch_norm(
+            x_93,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_95 = x_94 + x_85
+        x_94 = x_85 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_98 = torch.nn.functional.silu(x_97, inplace=True)
+        x_97 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            416,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_100 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_99 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_101 = torch.nn.functional.silu(x_100, inplace=True)
+        x_100 = None
+        x_se_16 = x_101.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.silu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_4 = torch.sigmoid(x_se_19)
+        x_se_19 = None
+        x_102 = x_101 * sigmoid_4
+        x_101 = sigmoid_4 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_102 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_105 = x_104 + x_95
+        x_104 = x_95 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.silu(x_107, inplace=True)
+        x_107 = None
+        x_109 = torch.conv2d(
+            x_108,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            416,
+        )
+        x_108 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_110 = torch.nn.functional.batch_norm(
+            x_109,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_111 = torch.nn.functional.silu(x_110, inplace=True)
+        x_110 = None
+        x_se_20 = x_111.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.silu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_5 = torch.sigmoid(x_se_23)
+        x_se_23 = None
+        x_112 = x_111 * sigmoid_5
+        x_111 = sigmoid_5 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_115 = x_114 + x_105
+        x_114 = x_105 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_118 = torch.nn.functional.silu(x_117, inplace=True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            624,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_121 = torch.nn.functional.silu(x_120, inplace=True)
+        x_120 = None
+        x_se_24 = x_121.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.silu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_6 = torch.sigmoid(x_se_27)
+        x_se_27 = None
+        x_122 = x_121 * sigmoid_6
+        x_121 = sigmoid_6 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_127 = torch.nn.functional.silu(x_126, inplace=True)
+        x_126 = None
+        x_128 = torch.conv2d(
+            x_127,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_130 = torch.nn.functional.silu(x_129, inplace=True)
+        x_129 = None
+        x_se_28 = x_130.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.silu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_7 = torch.sigmoid(x_se_31)
+        x_se_31 = None
+        x_131 = x_130 * sigmoid_7
+        x_130 = sigmoid_7 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_131 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_133 = torch.nn.functional.batch_norm(
+            x_132,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_134 = x_133 + x_124
+        x_133 = x_124 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_137 = torch.nn.functional.silu(x_136, inplace=True)
+        x_136 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_137 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_140 = torch.nn.functional.silu(x_139, inplace=True)
+        x_139 = None
+        x_se_32 = x_140.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.silu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_8 = torch.sigmoid(x_se_35)
+        x_se_35 = None
+        x_141 = x_140 * sigmoid_8
+        x_140 = sigmoid_8 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_141 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_143 = torch.nn.functional.batch_norm(
+            x_142,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_144 = x_143 + x_134
+        x_143 = x_134 = None
+        x_145 = torch.conv2d(
+            x_144,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_146 = torch.nn.functional.batch_norm(
+            x_145,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_147 = torch.nn.functional.silu(x_146, inplace=True)
+        x_146 = None
+        x_148 = torch.conv2d(
+            x_147,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_147 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_149 = torch.nn.functional.batch_norm(
+            x_148,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_148 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_150 = torch.nn.functional.silu(x_149, inplace=True)
+        x_149 = None
+        x_se_36 = x_150.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.silu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_9 = torch.sigmoid(x_se_39)
+        x_se_39 = None
+        x_151 = x_150 * sigmoid_9
+        x_150 = sigmoid_9 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_154 = x_153 + x_144
+        x_153 = x_144 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_156 = torch.nn.functional.batch_norm(
+            x_155,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_157 = torch.nn.functional.silu(x_156, inplace=True)
+        x_156 = None
+        x_158 = torch.conv2d(
+            x_157,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_157 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_159 = torch.nn.functional.batch_norm(
+            x_158,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_158 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_160 = torch.nn.functional.silu(x_159, inplace=True)
+        x_159 = None
+        x_se_40 = x_160.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.silu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_10 = torch.sigmoid(x_se_43)
+        x_se_43 = None
+        x_161 = x_160 * sigmoid_10
+        x_160 = sigmoid_10 = None
+        x_162 = torch.conv2d(
+            x_161,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_161 = l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_163 = torch.nn.functional.batch_norm(
+            x_162,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_164 = x_163 + x_154
+        x_163 = x_154 = None
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_166 = torch.nn.functional.batch_norm(
+            x_165,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_165 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_167 = torch.nn.functional.silu(x_166, inplace=True)
+        x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_167 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_170 = torch.nn.functional.silu(x_169, inplace=True)
+        x_169 = None
+        x_se_44 = x_170.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.silu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_11 = torch.sigmoid(x_se_47)
+        x_se_47 = None
+        x_171 = x_170 * sigmoid_11
+        x_170 = sigmoid_11 = None
+        x_172 = torch.conv2d(
+            x_171,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_171 = l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_173 = torch.nn.functional.batch_norm(
+            x_172,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_172 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_174 = x_173 + x_164
+        x_173 = x_164 = None
+        x_175 = torch.conv2d(
+            x_174,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_176 = torch.nn.functional.batch_norm(
+            x_175,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_175 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_177 = torch.nn.functional.silu(x_176, inplace=True)
+        x_176 = None
+        x_178 = torch.conv2d(
+            x_177,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_177 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_179 = torch.nn.functional.batch_norm(
+            x_178,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_178 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_180 = torch.nn.functional.silu(x_179, inplace=True)
+        x_179 = None
+        x_se_48 = x_180.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.silu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_12 = torch.sigmoid(x_se_51)
+        x_se_51 = None
+        x_181 = x_180 * sigmoid_12
+        x_180 = sigmoid_12 = None
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_181 = l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_183 = torch.nn.functional.batch_norm(
+            x_182,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_182 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_184 = x_183 + x_174
+        x_183 = x_174 = None
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_186 = torch.nn.functional.batch_norm(
+            x_185,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_185 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_
+        ) = None
+        x_187 = torch.nn.functional.silu(x_186, inplace=True)
+        x_186 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_187 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_
+        ) = None
+        x_189 = torch.nn.functional.batch_norm(
+            x_188,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_188 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_
+        ) = None
+        x_190 = torch.nn.functional.silu(x_189, inplace=True)
+        x_189 = None
+        x_se_52 = x_190.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.silu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_13 = torch.sigmoid(x_se_55)
+        x_se_55 = None
+        x_191 = x_190 * sigmoid_13
+        x_190 = sigmoid_13 = None
+        x_192 = torch.conv2d(
+            x_191,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_191 = l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_ = (None)
+        x_193 = torch.nn.functional.batch_norm(
+            x_192,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_192 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_
+        ) = None
+        x_194 = x_193 + x_184
+        x_193 = x_184 = None
+        x_195 = torch.conv2d(
+            x_194,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_196 = torch.nn.functional.batch_norm(
+            x_195,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_195 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_
+        ) = None
+        x_197 = torch.nn.functional.silu(x_196, inplace=True)
+        x_196 = None
+        x_198 = torch.conv2d(
+            x_197,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_197 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_
+        ) = None
+        x_199 = torch.nn.functional.batch_norm(
+            x_198,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_198 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_
+        ) = None
+        x_200 = torch.nn.functional.silu(x_199, inplace=True)
+        x_199 = None
+        x_se_56 = x_200.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.silu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_14 = torch.sigmoid(x_se_59)
+        x_se_59 = None
+        x_201 = x_200 * sigmoid_14
+        x_200 = sigmoid_14 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_201 = l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_ = (None)
+        x_203 = torch.nn.functional.batch_norm(
+            x_202,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_202 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_
+        ) = None
+        x_204 = x_203 + x_194
+        x_203 = x_194 = None
+        x_205 = torch.conv2d(
+            x_204,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_204 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_206 = torch.nn.functional.batch_norm(
+            x_205,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_205 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_207 = torch.nn.functional.silu(x_206, inplace=True)
+        x_206 = None
+        x_208 = torch.conv2d(
+            x_207,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_207 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_209 = torch.nn.functional.batch_norm(
+            x_208,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_208 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_210 = torch.nn.functional.silu(x_209, inplace=True)
+        x_209 = None
+        x_se_60 = x_210.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.silu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_15 = torch.sigmoid(x_se_63)
+        x_se_63 = None
+        x_211 = x_210 * sigmoid_15
+        x_210 = sigmoid_15 = None
+        x_212 = torch.conv2d(
+            x_211,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_211 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_213 = torch.nn.functional.batch_norm(
+            x_212,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_212 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_214 = torch.conv2d(
+            x_213,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_215 = torch.nn.functional.batch_norm(
+            x_214,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_214 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_216 = torch.nn.functional.silu(x_215, inplace=True)
+        x_215 = None
+        x_217 = torch.conv2d(
+            x_216,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_216 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_218 = torch.nn.functional.batch_norm(
+            x_217,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_217 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_219 = torch.nn.functional.silu(x_218, inplace=True)
+        x_218 = None
+        x_se_64 = x_219.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.silu(x_se_65, inplace=True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_16 = torch.sigmoid(x_se_67)
+        x_se_67 = None
+        x_220 = x_219 * sigmoid_16
+        x_219 = sigmoid_16 = None
+        x_221 = torch.conv2d(
+            x_220,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_220 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_222 = torch.nn.functional.batch_norm(
+            x_221,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_221 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_223 = x_222 + x_213
+        x_222 = x_213 = None
+        x_224 = torch.conv2d(
+            x_223,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_225 = torch.nn.functional.batch_norm(
+            x_224,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_224 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_226 = torch.nn.functional.silu(x_225, inplace=True)
+        x_225 = None
+        x_227 = torch.conv2d(
+            x_226,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_226 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_228 = torch.nn.functional.batch_norm(
+            x_227,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_227 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_229 = torch.nn.functional.silu(x_228, inplace=True)
+        x_228 = None
+        x_se_68 = x_229.mean((2, 3), keepdim=True)
+        x_se_69 = torch.conv2d(
+            x_se_68,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_68 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_70 = torch.nn.functional.silu(x_se_69, inplace=True)
+        x_se_69 = None
+        x_se_71 = torch.conv2d(
+            x_se_70,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_70 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_17 = torch.sigmoid(x_se_71)
+        x_se_71 = None
+        x_230 = x_229 * sigmoid_17
+        x_229 = sigmoid_17 = None
+        x_231 = torch.conv2d(
+            x_230,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_230 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_232 = torch.nn.functional.batch_norm(
+            x_231,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_231 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_233 = x_232 + x_223
+        x_232 = x_223 = None
+        x_234 = torch.conv2d(
+            x_233,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_235 = torch.nn.functional.batch_norm(
+            x_234,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_234 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_236 = torch.nn.functional.silu(x_235, inplace=True)
+        x_235 = None
+        x_237 = torch.conv2d(
+            x_236,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_236 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_238 = torch.nn.functional.batch_norm(
+            x_237,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_237 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_239 = torch.nn.functional.silu(x_238, inplace=True)
+        x_238 = None
+        x_se_72 = x_239.mean((2, 3), keepdim=True)
+        x_se_73 = torch.conv2d(
+            x_se_72,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_72 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_74 = torch.nn.functional.silu(x_se_73, inplace=True)
+        x_se_73 = None
+        x_se_75 = torch.conv2d(
+            x_se_74,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_74 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_18 = torch.sigmoid(x_se_75)
+        x_se_75 = None
+        x_240 = x_239 * sigmoid_18
+        x_239 = sigmoid_18 = None
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_240 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_242 = torch.nn.functional.batch_norm(
+            x_241,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_241 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_243 = x_242 + x_233
+        x_242 = x_233 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_245 = torch.nn.functional.batch_norm(
+            x_244,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_244 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_246 = torch.nn.functional.silu(x_245, inplace=True)
+        x_245 = None
+        x_247 = torch.conv2d(
+            x_246,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_246 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_248 = torch.nn.functional.batch_norm(
+            x_247,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_247 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_249 = torch.nn.functional.silu(x_248, inplace=True)
+        x_248 = None
+        x_se_76 = x_249.mean((2, 3), keepdim=True)
+        x_se_77 = torch.conv2d(
+            x_se_76,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_76 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_78 = torch.nn.functional.silu(x_se_77, inplace=True)
+        x_se_77 = None
+        x_se_79 = torch.conv2d(
+            x_se_78,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_78 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_19 = torch.sigmoid(x_se_79)
+        x_se_79 = None
+        x_250 = x_249 * sigmoid_19
+        x_249 = sigmoid_19 = None
+        x_251 = torch.conv2d(
+            x_250,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_250 = l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_252 = torch.nn.functional.batch_norm(
+            x_251,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_251 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_253 = x_252 + x_243
+        x_252 = x_243 = None
+        x_254 = torch.conv2d(
+            x_253,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_255 = torch.nn.functional.batch_norm(
+            x_254,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_254 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_256 = torch.nn.functional.silu(x_255, inplace=True)
+        x_255 = None
+        x_257 = torch.conv2d(
+            x_256,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_256 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_258 = torch.nn.functional.batch_norm(
+            x_257,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_257 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_259 = torch.nn.functional.silu(x_258, inplace=True)
+        x_258 = None
+        x_se_80 = x_259.mean((2, 3), keepdim=True)
+        x_se_81 = torch.conv2d(
+            x_se_80,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_80 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_82 = torch.nn.functional.silu(x_se_81, inplace=True)
+        x_se_81 = None
+        x_se_83 = torch.conv2d(
+            x_se_82,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_82 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_20 = torch.sigmoid(x_se_83)
+        x_se_83 = None
+        x_260 = x_259 * sigmoid_20
+        x_259 = sigmoid_20 = None
+        x_261 = torch.conv2d(
+            x_260,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_260 = l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_262 = torch.nn.functional.batch_norm(
+            x_261,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_261 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_263 = x_262 + x_253
+        x_262 = x_253 = None
+        x_264 = torch.conv2d(
+            x_263,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_265 = torch.nn.functional.batch_norm(
+            x_264,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_264 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_266 = torch.nn.functional.silu(x_265, inplace=True)
+        x_265 = None
+        x_267 = torch.conv2d(
+            x_266,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_266 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_268 = torch.nn.functional.batch_norm(
+            x_267,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_267 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_269 = torch.nn.functional.silu(x_268, inplace=True)
+        x_268 = None
+        x_se_84 = x_269.mean((2, 3), keepdim=True)
+        x_se_85 = torch.conv2d(
+            x_se_84,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_84 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_86 = torch.nn.functional.silu(x_se_85, inplace=True)
+        x_se_85 = None
+        x_se_87 = torch.conv2d(
+            x_se_86,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_86 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_21 = torch.sigmoid(x_se_87)
+        x_se_87 = None
+        x_270 = x_269 * sigmoid_21
+        x_269 = sigmoid_21 = None
+        x_271 = torch.conv2d(
+            x_270,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_270 = l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_272 = torch.nn.functional.batch_norm(
+            x_271,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_271 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_273 = x_272 + x_263
+        x_272 = x_263 = None
+        x_274 = torch.conv2d(
+            x_273,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_275 = torch.nn.functional.batch_norm(
+            x_274,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_274 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        ) = None
+        x_276 = torch.nn.functional.silu(x_275, inplace=True)
+        x_275 = None
+        x_277 = torch.conv2d(
+            x_276,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_276 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        ) = None
+        x_278 = torch.nn.functional.batch_norm(
+            x_277,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_277 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        ) = None
+        x_279 = torch.nn.functional.silu(x_278, inplace=True)
+        x_278 = None
+        x_se_88 = x_279.mean((2, 3), keepdim=True)
+        x_se_89 = torch.conv2d(
+            x_se_88,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_88 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_90 = torch.nn.functional.silu(x_se_89, inplace=True)
+        x_se_89 = None
+        x_se_91 = torch.conv2d(
+            x_se_90,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_90 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_22 = torch.sigmoid(x_se_91)
+        x_se_91 = None
+        x_280 = x_279 * sigmoid_22
+        x_279 = sigmoid_22 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_280 = l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = (None)
+        x_282 = torch.nn.functional.batch_norm(
+            x_281,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_281 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        ) = None
+        x_283 = x_282 + x_273
+        x_282 = x_273 = None
+        x_284 = torch.conv2d(
+            x_283,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_285 = torch.nn.functional.batch_norm(
+            x_284,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_284 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_
+        ) = None
+        x_286 = torch.nn.functional.silu(x_285, inplace=True)
+        x_285 = None
+        x_287 = torch.conv2d(
+            x_286,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_286 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_
+        ) = None
+        x_288 = torch.nn.functional.batch_norm(
+            x_287,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_287 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_
+        ) = None
+        x_289 = torch.nn.functional.silu(x_288, inplace=True)
+        x_288 = None
+        x_se_92 = x_289.mean((2, 3), keepdim=True)
+        x_se_93 = torch.conv2d(
+            x_se_92,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_92 = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_94 = torch.nn.functional.silu(x_se_93, inplace=True)
+        x_se_93 = None
+        x_se_95 = torch.conv2d(
+            x_se_94,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_94 = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_23 = torch.sigmoid(x_se_95)
+        x_se_95 = None
+        x_290 = x_289 * sigmoid_23
+        x_289 = sigmoid_23 = None
+        x_291 = torch.conv2d(
+            x_290,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_290 = l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_ = (None)
+        x_292 = torch.nn.functional.batch_norm(
+            x_291,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_291 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_
+        ) = None
+        x_293 = x_292 + x_283
+        x_292 = x_283 = None
+        x_294 = torch.conv2d(
+            x_293,
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_295 = torch.nn.functional.batch_norm(
+            x_294,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_294 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_
+        ) = None
+        x_296 = torch.nn.functional.silu(x_295, inplace=True)
+        x_295 = None
+        x_297 = torch.conv2d(
+            x_296,
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_296 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_
+        ) = None
+        x_298 = torch.nn.functional.batch_norm(
+            x_297,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_297 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_
+        ) = None
+        x_299 = torch.nn.functional.silu(x_298, inplace=True)
+        x_298 = None
+        x_se_96 = x_299.mean((2, 3), keepdim=True)
+        x_se_97 = torch.conv2d(
+            x_se_96,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_96 = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_98 = torch.nn.functional.silu(x_se_97, inplace=True)
+        x_se_97 = None
+        x_se_99 = torch.conv2d(
+            x_se_98,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_98 = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_24 = torch.sigmoid(x_se_99)
+        x_se_99 = None
+        x_300 = x_299 * sigmoid_24
+        x_299 = sigmoid_24 = None
+        x_301 = torch.conv2d(
+            x_300,
+            l_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_300 = l_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_ = (None)
+        x_302 = torch.nn.functional.batch_norm(
+            x_301,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_301 = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_
+        ) = None
+        x_303 = x_302 + x_293
+        x_302 = x_293 = None
+        x_304 = torch.conv2d(
+            x_303,
+            l_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_305 = torch.nn.functional.batch_norm(
+            x_304,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_304 = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_
+        ) = None
+        x_306 = torch.nn.functional.silu(x_305, inplace=True)
+        x_305 = None
+        x_307 = torch.conv2d(
+            x_306,
+            l_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_306 = l_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_ = (None)
+        x_308 = torch.nn.functional.batch_norm(
+            x_307,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_307 = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_
+        ) = None
+        x_309 = torch.nn.functional.silu(x_308, inplace=True)
+        x_308 = None
+        x_se_100 = x_309.mean((2, 3), keepdim=True)
+        x_se_101 = torch.conv2d(
+            x_se_100,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_100 = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_102 = torch.nn.functional.silu(x_se_101, inplace=True)
+        x_se_101 = None
+        x_se_103 = torch.conv2d(
+            x_se_102,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_102 = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_25 = torch.sigmoid(x_se_103)
+        x_se_103 = None
+        x_310 = x_309 * sigmoid_25
+        x_309 = sigmoid_25 = None
+        x_311 = torch.conv2d(
+            x_310,
+            l_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_310 = l_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_ = (None)
+        x_312 = torch.nn.functional.batch_norm(
+            x_311,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_311 = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_
+        ) = None
+        x_313 = x_312 + x_303
+        x_312 = x_303 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_315 = torch.nn.functional.batch_norm(
+            x_314,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_314 = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_
+        ) = None
+        x_316 = torch.nn.functional.silu(x_315, inplace=True)
+        x_315 = None
+        x_317 = torch.conv2d(
+            x_316,
+            l_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_316 = l_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_ = (None)
+        x_318 = torch.nn.functional.batch_norm(
+            x_317,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_317 = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_
+        ) = None
+        x_319 = torch.nn.functional.silu(x_318, inplace=True)
+        x_318 = None
+        x_se_104 = x_319.mean((2, 3), keepdim=True)
+        x_se_105 = torch.conv2d(
+            x_se_104,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_104 = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_106 = torch.nn.functional.silu(x_se_105, inplace=True)
+        x_se_105 = None
+        x_se_107 = torch.conv2d(
+            x_se_106,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_106 = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_26 = torch.sigmoid(x_se_107)
+        x_se_107 = None
+        x_320 = x_319 * sigmoid_26
+        x_319 = sigmoid_26 = None
+        x_321 = torch.conv2d(
+            x_320,
+            l_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_320 = l_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_ = (None)
+        x_322 = torch.nn.functional.batch_norm(
+            x_321,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_321 = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_
+        ) = None
+        x_323 = x_322 + x_313
+        x_322 = x_313 = None
+        x_324 = torch.conv2d(
+            x_323,
+            l_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_325 = torch.nn.functional.batch_norm(
+            x_324,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_324 = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_
+        ) = None
+        x_326 = torch.nn.functional.silu(x_325, inplace=True)
+        x_325 = None
+        x_327 = torch.conv2d(
+            x_326,
+            l_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_326 = l_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_ = (None)
+        x_328 = torch.nn.functional.batch_norm(
+            x_327,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_327 = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_
+        ) = None
+        x_329 = torch.nn.functional.silu(x_328, inplace=True)
+        x_328 = None
+        x_se_108 = x_329.mean((2, 3), keepdim=True)
+        x_se_109 = torch.conv2d(
+            x_se_108,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_108 = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_110 = torch.nn.functional.silu(x_se_109, inplace=True)
+        x_se_109 = None
+        x_se_111 = torch.conv2d(
+            x_se_110,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_110 = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_27 = torch.sigmoid(x_se_111)
+        x_se_111 = None
+        x_330 = x_329 * sigmoid_27
+        x_329 = sigmoid_27 = None
+        x_331 = torch.conv2d(
+            x_330,
+            l_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_330 = l_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_ = (None)
+        x_332 = torch.nn.functional.batch_norm(
+            x_331,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_331 = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_
+        ) = None
+        x_333 = x_332 + x_323
+        x_332 = x_323 = None
+        x_334 = torch.conv2d(
+            x_333,
+            l_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_335 = torch.nn.functional.batch_norm(
+            x_334,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_334 = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_
+        ) = None
+        x_336 = torch.nn.functional.silu(x_335, inplace=True)
+        x_335 = None
+        x_337 = torch.conv2d(
+            x_336,
+            l_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        x_336 = l_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_ = (None)
+        x_338 = torch.nn.functional.batch_norm(
+            x_337,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_337 = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_
+        ) = None
+        x_339 = torch.nn.functional.silu(x_338, inplace=True)
+        x_338 = None
+        x_se_112 = x_339.mean((2, 3), keepdim=True)
+        x_se_113 = torch.conv2d(
+            x_se_112,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_112 = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_114 = torch.nn.functional.silu(x_se_113, inplace=True)
+        x_se_113 = None
+        x_se_115 = torch.conv2d(
+            x_se_114,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_114 = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        sigmoid_28 = torch.sigmoid(x_se_115)
+        x_se_115 = None
+        x_340 = x_339 * sigmoid_28
+        x_339 = sigmoid_28 = None
+        x_341 = torch.conv2d(
+            x_340,
+            l_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_340 = l_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_ = (None)
+        x_342 = torch.nn.functional.batch_norm(
+            x_341,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_341 = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_
+        ) = None
+        x_343 = x_342 + x_333
+        x_342 = x_333 = None
+        x_344 = torch.conv2d(
+            x_343,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_343 = l_self_modules_conv_head_parameters_weight_ = None
+        x_345 = torch.nn.functional.batch_norm(
+            x_344,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_344 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_346 = torch.nn.functional.silu(x_345, inplace=True)
+        x_345 = None
+        x_347 = torch.nn.functional.adaptive_avg_pool2d(x_346, 1)
+        x_346 = None
+        x_348 = x_347.flatten(1, -1)
+        x_347 = None
+        x_349 = torch._C._nn.linear(
+            x_348,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_348 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_349,)
diff --git a/samples/timm/efficientnetv2_rw_t.ra2_in1k/weight_meta.py b/samples/timm/efficientnetv2_rw_t.ra2_in1k/weight_meta.py
new file mode 100644
index 000000000..b48e302c8
--- /dev/null
+++ b/samples/timm/efficientnetv2_rw_t.ra2_in1k/weight_meta.py
@@ -0,0 +1,6778 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [24, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.223
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_conv_parameters_weight_"
+    shape = [24, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_conv_parameters_weight_"
+    shape = [24, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [96, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.222
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [160, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [160, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.225
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_exp_parameters_weight_"
+    )
+    shape = [160, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_exp_parameters_weight_"
+    )
+    shape = [160, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_exp_parameters_weight_"
+    )
+    shape = [192, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_exp_parameters_weight_"
+    )
+    shape = [192, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.202
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_exp_parameters_weight_"
+    )
+    shape = [192, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [48, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.103
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [12, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.416
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [192, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [104, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.138
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [416, 104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [416, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.020
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [26, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [416, 26, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [104, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.139
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [416, 104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [416, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.463
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [26, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [416, 26, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.070
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [104, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.138
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [416, 104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [416, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [26, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [416, 26, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.070
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [104, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.139
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [416, 104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [416, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.478
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [26, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.277
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [416, 26, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [104, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.139
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [416, 104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn1_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [416, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_buffers_running_var_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_weight_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn2_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [26, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.278
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [416, 26, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.070
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [416]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [104, 416, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.139
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_buffers_running_var_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_weight_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_5_modules_bn3_parameters_bias_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [624, 104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [624]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [624]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [624]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [624]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [624, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [624]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [624]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [624]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [624]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [26, 624, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.277
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [26]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [624, 26, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [624]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 624, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.252
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.476
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.251
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.011
+    std = 0.466
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.251
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.248
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.197
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.477
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.195
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.197
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.197
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_9_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_9_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_9_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_9_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.466
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_mean_"
+    )
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_10_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_mean_"
+    )
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_11_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.012
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_mean_"
+    )
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_12_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_mean_"
+    )
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_mean_"
+    )
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.195
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [52]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_mean_"
+    )
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_13_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1024, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/ese_vovnet19b_dw.ra_in1k/graph_hash.txt b/samples/timm/ese_vovnet19b_dw.ra_in1k/graph_hash.txt
new file mode 100644
index 000000000..07d4ad37f
--- /dev/null
+++ b/samples/timm/ese_vovnet19b_dw.ra_in1k/graph_hash.txt
@@ -0,0 +1 @@
+c6e0dd93a220a8d78c8b1073dda08008ac7c579a404e92a46baca35a70659ab0
\ No newline at end of file
diff --git a/samples/timm/ese_vovnet19b_dw.ra_in1k/graph_net.json b/samples/timm/ese_vovnet19b_dw.ra_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ese_vovnet19b_dw.ra_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ese_vovnet19b_dw.ra_in1k/input_meta.py b/samples/timm/ese_vovnet19b_dw.ra_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ese_vovnet19b_dw.ra_in1k/input_tensor_constraints.py b/samples/timm/ese_vovnet19b_dw.ra_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ese_vovnet19b_dw.ra_in1k/model.py b/samples/timm/ese_vovnet19b_dw.ra_in1k/model.py
new file mode 100644
index 000000000..8aee0e63c
--- /dev/null
+++ b/samples/timm/ese_vovnet19b_dw.ra_in1k/model.py
@@ -0,0 +1,1132 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_0_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_0_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_0_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_0_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_0_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_0_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_0_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_stem_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_stem_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_stem_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_2_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_2_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_2_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_2_modules_bn_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_0_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_0_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_0_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stem_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        x_2 = l_self_modules_stem_modules_1_modules_conv_dw_parameters_weight_ = None
+        x_4 = torch.conv2d(
+            x_3,
+            l_self_modules_stem_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_3 = l_self_modules_stem_modules_1_modules_conv_pw_parameters_weight_ = None
+        x_5 = torch.nn.functional.batch_norm(
+            x_4,
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_4 = (
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_1_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_1_modules_bn_parameters_bias_ = None
+        x_6 = torch.nn.functional.relu(x_5, inplace=True)
+        x_5 = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_stem_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        x_6 = l_self_modules_stem_modules_2_modules_conv_dw_parameters_weight_ = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_stem_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = l_self_modules_stem_modules_2_modules_conv_pw_parameters_weight_ = None
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_2_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_2_modules_bn_parameters_bias_ = None
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_ = (None)
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        x_13 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_ = (None)
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_ = (None)
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_17 = torch.nn.functional.relu(x_16, inplace=True)
+        x_16 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_18 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_ = (None)
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_21 = torch.nn.functional.relu(x_20, inplace=True)
+        x_20 = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_ = (None)
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_25 = torch.nn.functional.relu(x_24, inplace=True)
+        x_24 = None
+        x_26 = torch.cat([x_10, x_17, x_21, x_25], dim=1)
+        x_10 = x_17 = x_21 = x_25 = None
+        x_27 = torch.conv2d(
+            x_26,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_28 = torch.nn.functional.batch_norm(
+            x_27,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_27 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_29 = torch.nn.functional.relu(x_28, inplace=True)
+        x_28 = None
+        x_se = x_29.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_1, False)
+        x_se_1 = None
+        x_30 = x_29 * hardsigmoid
+        x_29 = hardsigmoid = None
+        x_31 = torch.nn.functional.max_pool2d(
+            x_30, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_ = (None)
+        x_34 = torch.nn.functional.relu(x_33, inplace=True)
+        x_33 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            160,
+        )
+        x_34 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_ = (None)
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_35 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_ = (None)
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            160,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_40 = torch.conv2d(
+            x_39,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_39 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.relu(x_41, inplace=True)
+        x_41 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            160,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_46 = torch.nn.functional.relu(x_45, inplace=True)
+        x_45 = None
+        x_47 = torch.cat([x_31, x_38, x_42, x_46], dim=1)
+        x_31 = x_38 = x_42 = x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_47 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_50 = torch.nn.functional.relu(x_49, inplace=True)
+        x_49 = None
+        x_se_2 = x_50.mean((2, 3), keepdim=True)
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_51 = x_50 * hardsigmoid_1
+        x_50 = hardsigmoid_1 = None
+        x_52 = torch.nn.functional.max_pool2d(
+            x_51, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_ = (None)
+        x_55 = torch.nn.functional.relu(x_54, inplace=True)
+        x_54 = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        x_55 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_ = (None)
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_ = (None)
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_59 = torch.nn.functional.relu(x_58, inplace=True)
+        x_58 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_ = (None)
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_63 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_ = (None)
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_65 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_67 = torch.nn.functional.relu(x_66, inplace=True)
+        x_66 = None
+        x_68 = torch.cat([x_52, x_59, x_63, x_67], dim=1)
+        x_52 = x_59 = x_63 = x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_68 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_71 = torch.nn.functional.relu(x_70, inplace=True)
+        x_70 = None
+        x_se_4 = x_71.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_5, False)
+        x_se_5 = None
+        x_72 = x_71 * hardsigmoid_2
+        x_71 = hardsigmoid_2 = None
+        x_73 = torch.nn.functional.max_pool2d(
+            x_72, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_72 = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.nn.functional.relu(x_75, inplace=True)
+        x_75 = None
+        x_77 = torch.conv2d(
+            x_76,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            224,
+        )
+        x_76 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_ = (None)
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_77 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_ = (None)
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.relu(x_79, inplace=True)
+        x_79 = None
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            224,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_81 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.relu(x_83, inplace=True)
+        x_83 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            224,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_ = (None)
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=True)
+        x_87 = None
+        x_89 = torch.cat([x_73, x_80, x_84, x_88], dim=1)
+        x_73 = x_80 = x_84 = x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        x_se_6 = x_92.mean((2, 3), keepdim=True)
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_93 = x_92 * hardsigmoid_3
+        x_92 = hardsigmoid_3 = None
+        x_94 = torch.nn.functional.adaptive_avg_pool2d(x_93, 1)
+        x_93 = None
+        x_95 = x_94.flatten(1, -1)
+        x_94 = None
+        x_96 = torch.nn.functional.dropout(x_95, 0.0, False, False)
+        x_95 = None
+        x_97 = torch._C._nn.linear(
+            x_96,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_96 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_97,)
diff --git a/samples/timm/ese_vovnet19b_dw.ra_in1k/weight_meta.py b/samples/timm/ese_vovnet19b_dw.ra_in1k/weight_meta.py
new file mode 100644
index 000000000..63c71fb74
--- /dev/null
+++ b/samples/timm/ese_vovnet19b_dw.ra_in1k/weight_meta.py
@@ -0,0 +1,1408 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.060
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.223
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_dw_parameters_weight_"
+    shape = [64, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_pw_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_conv_dw_parameters_weight_"
+    shape = [64, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.060
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_conv_pw_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.181
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_2_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_2_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [256, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_"
+    shape = [160, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_"
+    shape = [160, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_"
+    shape = [160, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_"
+    shape = [160, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_"
+    shape = [160, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_"
+    shape = [160, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_"
+    shape = [160, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.113
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [512, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_"
+    shape = [192, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [768, 1088, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_conv_parameters_weight_"
+    shape = [224, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_reduction_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_dw_parameters_weight_"
+    shape = [224, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_pw_parameters_weight_"
+    shape = [224, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_dw_parameters_weight_"
+    shape = [224, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_pw_parameters_weight_"
+    shape = [224, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.094
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_dw_parameters_weight_"
+    shape = [224, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_pw_parameters_weight_"
+    shape = [224, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [1024, 1440, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/ese_vovnet39b.ra_in1k/graph_hash.txt b/samples/timm/ese_vovnet39b.ra_in1k/graph_hash.txt
new file mode 100644
index 000000000..853ad38de
--- /dev/null
+++ b/samples/timm/ese_vovnet39b.ra_in1k/graph_hash.txt
@@ -0,0 +1 @@
+eadf5b00d5872d448abdeb81c92777eb293701ef7db84208b5b484c206032e99
\ No newline at end of file
diff --git a/samples/timm/ese_vovnet39b.ra_in1k/graph_net.json b/samples/timm/ese_vovnet39b.ra_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ese_vovnet39b.ra_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ese_vovnet39b.ra_in1k/input_meta.py b/samples/timm/ese_vovnet39b.ra_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ese_vovnet39b.ra_in1k/input_tensor_constraints.py b/samples/timm/ese_vovnet39b.ra_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ese_vovnet39b.ra_in1k/model.py b/samples/timm/ese_vovnet39b.ra_in1k/model.py
new file mode 100644
index 000000000..81edbd093
--- /dev/null
+++ b/samples/timm/ese_vovnet39b.ra_in1k/model.py
@@ -0,0 +1,1532 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_0_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_0_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_0_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_0_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_0_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_0_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_0_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_1_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_2_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_2_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_2_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_2_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_2_modules_bn_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_0_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_0_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_0_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stem_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stem_modules_1_modules_conv_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_1_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_1_modules_bn_parameters_bias_ = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_stem_modules_2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_stem_modules_2_modules_conv_parameters_weight_ = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_2_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_2_modules_bn_parameters_bias_ = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_17 = torch.nn.functional.relu(x_16, inplace=True)
+        x_16 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_23 = torch.nn.functional.relu(x_22, inplace=True)
+        x_22 = None
+        x_24 = torch.cat([x_8, x_11, x_14, x_17, x_20, x_23], dim=1)
+        x_8 = x_11 = x_14 = x_17 = x_20 = x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_se = x_27.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_1, False)
+        x_se_1 = None
+        x_28 = x_27 * hardsigmoid
+        x_27 = hardsigmoid = None
+        x_29 = torch.nn.functional.max_pool2d(
+            x_28, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_28 = None
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_33 = torch.conv2d(
+            x_32,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_34 = torch.nn.functional.batch_norm(
+            x_33,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_33 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_44 = torch.nn.functional.relu(x_43, inplace=True)
+        x_43 = None
+        x_45 = torch.cat([x_29, x_32, x_35, x_38, x_41, x_44], dim=1)
+        x_29 = x_32 = x_35 = x_38 = x_41 = x_44 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_45 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_se_2 = x_48.mean((2, 3), keepdim=True)
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_49 = x_48 * hardsigmoid_1
+        x_48 = hardsigmoid_1 = None
+        x_50 = torch.nn.functional.max_pool2d(
+            x_49, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_49 = None
+        x_51 = torch.conv2d(
+            x_50,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_52 = torch.nn.functional.batch_norm(
+            x_51,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_51 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_53 = torch.nn.functional.relu(x_52, inplace=True)
+        x_52 = None
+        x_54 = torch.conv2d(
+            x_53,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_55 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_54 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.relu(x_55, inplace=True)
+        x_55 = None
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_59 = torch.nn.functional.relu(x_58, inplace=True)
+        x_58 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.relu(x_61, inplace=True)
+        x_61 = None
+        x_63 = torch.conv2d(
+            x_62,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_64 = torch.nn.functional.batch_norm(
+            x_63,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_63 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_65 = torch.nn.functional.relu(x_64, inplace=True)
+        x_64 = None
+        x_66 = torch.cat([x_50, x_53, x_56, x_59, x_62, x_65], dim=1)
+        x_50 = x_53 = x_56 = x_59 = x_62 = x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_66 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_69 = torch.nn.functional.relu(x_68, inplace=True)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_75 = torch.nn.functional.relu(x_74, inplace=True)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_81 = torch.nn.functional.relu(x_80, inplace=True)
+        x_80 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.relu(x_83, inplace=True)
+        x_83 = None
+        x_85 = torch.cat([x_69, x_72, x_75, x_78, x_81, x_84], dim=1)
+        x_72 = x_75 = x_78 = x_81 = x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=True)
+        x_87 = None
+        x_se_4 = x_88.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_5, False)
+        x_se_5 = None
+        x_89 = x_88 * hardsigmoid_2
+        x_88 = hardsigmoid_2 = None
+        x_90 = x_89 + x_69
+        x_89 = x_69 = None
+        x_91 = torch.nn.functional.max_pool2d(
+            x_90, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_90 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=True)
+        x_93 = None
+        x_95 = torch.conv2d(
+            x_94,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_96 = torch.nn.functional.batch_norm(
+            x_95,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_95 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_97 = torch.nn.functional.relu(x_96, inplace=True)
+        x_96 = None
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_100 = torch.nn.functional.relu(x_99, inplace=True)
+        x_99 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_103 = torch.nn.functional.relu(x_102, inplace=True)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_106 = torch.nn.functional.relu(x_105, inplace=True)
+        x_105 = None
+        x_107 = torch.cat([x_91, x_94, x_97, x_100, x_103, x_106], dim=1)
+        x_91 = x_94 = x_97 = x_100 = x_103 = x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_110 = torch.nn.functional.relu(x_109, inplace=True)
+        x_109 = None
+        x_111 = torch.conv2d(
+            x_110,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_112 = torch.nn.functional.batch_norm(
+            x_111,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_111 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_113 = torch.nn.functional.relu(x_112, inplace=True)
+        x_112 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_116 = torch.nn.functional.relu(x_115, inplace=True)
+        x_115 = None
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_119 = torch.nn.functional.relu(x_118, inplace=True)
+        x_118 = None
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_121 = torch.nn.functional.batch_norm(
+            x_120,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_120 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.relu(x_121, inplace=True)
+        x_121 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_125 = torch.nn.functional.relu(x_124, inplace=True)
+        x_124 = None
+        x_126 = torch.cat([x_110, x_113, x_116, x_119, x_122, x_125], dim=1)
+        x_113 = x_116 = x_119 = x_122 = x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_129 = torch.nn.functional.relu(x_128, inplace=True)
+        x_128 = None
+        x_se_6 = x_129.mean((2, 3), keepdim=True)
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_130 = x_129 * hardsigmoid_3
+        x_129 = hardsigmoid_3 = None
+        x_131 = x_130 + x_110
+        x_130 = x_110 = None
+        x_132 = torch.nn.functional.adaptive_avg_pool2d(x_131, 1)
+        x_131 = None
+        x_133 = x_132.flatten(1, -1)
+        x_132 = None
+        x_134 = torch.nn.functional.dropout(x_133, 0.0, False, False)
+        x_133 = None
+        x_135 = torch._C._nn.linear(
+            x_134,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_134 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_135,)
diff --git a/samples/timm/ese_vovnet39b.ra_in1k/weight_meta.py b/samples/timm/ese_vovnet39b.ra_in1k/weight_meta.py
new file mode 100644
index 000000000..c1d8a5387
--- /dev/null
+++ b/samples/timm/ese_vovnet39b.ra_in1k/weight_meta.py
@@ -0,0 +1,2068 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.230
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_conv_parameters_weight_"
+    shape = [128, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [160, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [512, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [768, 1472, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [768, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [224, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [1024, 1888, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [224, 1024, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [1024, 2144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_attn_modules_fc_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/graph_hash.txt b/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/graph_hash.txt
new file mode 100644
index 000000000..3998bda63
--- /dev/null
+++ b/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/graph_hash.txt
@@ -0,0 +1 @@
+f64ae305f83ac5587e5dd04d30760947de280fe8512254bff7a19fba062511a8
\ No newline at end of file
diff --git a/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/graph_net.json b/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/input_meta.py b/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/input_tensor_constraints.py b/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/model.py b/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/model.py
new file mode 100644
index 000000000..ebce43496
--- /dev/null
+++ b/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/model.py
@@ -0,0 +1,2168 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_0_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_0_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_0_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_0_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_0_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_0_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_0_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_1_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_2_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_2_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_2_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_2_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_2_modules_bn_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_0_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_0_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_0_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stem_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stem_modules_1_modules_conv_parameters_weight_ = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_1_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_1_modules_bn_parameters_bias_ = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_stem_modules_2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_stem_modules_2_modules_conv_parameters_weight_ = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_2_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_2_modules_bn_parameters_bias_ = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_17 = torch.nn.functional.relu(x_16, inplace=True)
+        x_16 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_23 = torch.nn.functional.relu(x_22, inplace=True)
+        x_22 = None
+        x_24 = torch.cat([x_8, x_11, x_14, x_17, x_20, x_23], dim=1)
+        x_8 = x_11 = x_14 = x_17 = x_20 = x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_se = x_27.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_1, False)
+        x_se_1 = None
+        x_28 = x_27 * hardsigmoid
+        x_27 = hardsigmoid = None
+        x_29 = torch.nn.functional.max_pool2d(
+            x_28, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_28 = None
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_33 = torch.conv2d(
+            x_32,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_34 = torch.nn.functional.batch_norm(
+            x_33,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_33 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_35 = torch.nn.functional.relu(x_34, inplace=True)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_44 = torch.nn.functional.relu(x_43, inplace=True)
+        x_43 = None
+        x_45 = torch.cat([x_29, x_32, x_35, x_38, x_41, x_44], dim=1)
+        x_29 = x_32 = x_35 = x_38 = x_41 = x_44 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_45 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_se_2 = x_48.mean((2, 3), keepdim=True)
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_49 = x_48 * hardsigmoid_1
+        x_48 = hardsigmoid_1 = None
+        x_50 = torch.nn.functional.max_pool2d(
+            x_49, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_49 = None
+        x_51 = torch.conv2d(
+            x_50,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_52 = torch.nn.functional.batch_norm(
+            x_51,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_51 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_53 = torch.nn.functional.relu(x_52, inplace=True)
+        x_52 = None
+        x_54 = torch.conv2d(
+            x_53,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_55 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_54 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.relu(x_55, inplace=True)
+        x_55 = None
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_59 = torch.nn.functional.relu(x_58, inplace=True)
+        x_58 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.relu(x_61, inplace=True)
+        x_61 = None
+        x_63 = torch.conv2d(
+            x_62,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_64 = torch.nn.functional.batch_norm(
+            x_63,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_63 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_65 = torch.nn.functional.relu(x_64, inplace=True)
+        x_64 = None
+        x_66 = torch.cat([x_50, x_53, x_56, x_59, x_62, x_65], dim=1)
+        x_50 = x_53 = x_56 = x_59 = x_62 = x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_66 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_69 = torch.nn.functional.relu(x_68, inplace=True)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_75 = torch.nn.functional.relu(x_74, inplace=True)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_81 = torch.nn.functional.relu(x_80, inplace=True)
+        x_80 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.relu(x_83, inplace=True)
+        x_83 = None
+        x_85 = torch.cat([x_69, x_72, x_75, x_78, x_81, x_84], dim=1)
+        x_72 = x_75 = x_78 = x_81 = x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=True)
+        x_87 = None
+        x_89 = x_88 + x_69
+        x_88 = x_69 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_94 = torch.nn.functional.batch_norm(
+            x_93,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_93 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_95 = torch.nn.functional.relu(x_94, inplace=True)
+        x_94 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.relu(x_97, inplace=True)
+        x_97 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_100 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_99 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_101 = torch.nn.functional.relu(x_100, inplace=True)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_105 = torch.cat([x_89, x_92, x_95, x_98, x_101, x_104], dim=1)
+        x_92 = x_95 = x_98 = x_101 = x_104 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_105 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.relu(x_107, inplace=True)
+        x_107 = None
+        x_109 = x_108 + x_89
+        x_108 = x_89 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_115 = torch.nn.functional.relu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_121 = torch.nn.functional.relu(x_120, inplace=True)
+        x_120 = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_123 = torch.nn.functional.batch_norm(
+            x_122,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_122 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.relu(x_123, inplace=True)
+        x_123 = None
+        x_125 = torch.cat([x_109, x_112, x_115, x_118, x_121, x_124], dim=1)
+        x_112 = x_115 = x_118 = x_121 = x_124 = None
+        x_126 = torch.conv2d(
+            x_125,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_125 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_127 = torch.nn.functional.batch_norm(
+            x_126,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_126 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_128 = torch.nn.functional.relu(x_127, inplace=True)
+        x_127 = None
+        x_se_4 = x_128.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_5, False)
+        x_se_5 = None
+        x_129 = x_128 * hardsigmoid_2
+        x_128 = hardsigmoid_2 = None
+        x_130 = x_129 + x_109
+        x_129 = x_109 = None
+        x_131 = torch.nn.functional.max_pool2d(
+            x_130, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_133 = torch.nn.functional.batch_norm(
+            x_132,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_132 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_134 = torch.nn.functional.relu(x_133, inplace=True)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_137 = torch.nn.functional.relu(x_136, inplace=True)
+        x_136 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_140 = torch.nn.functional.relu(x_139, inplace=True)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_143 = torch.nn.functional.relu(x_142, inplace=True)
+        x_142 = None
+        x_144 = torch.conv2d(
+            x_143,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_145 = torch.nn.functional.batch_norm(
+            x_144,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_144 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_146 = torch.nn.functional.relu(x_145, inplace=True)
+        x_145 = None
+        x_147 = torch.cat([x_131, x_134, x_137, x_140, x_143, x_146], dim=1)
+        x_131 = x_134 = x_137 = x_140 = x_143 = x_146 = None
+        x_148 = torch.conv2d(
+            x_147,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_147 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_149 = torch.nn.functional.batch_norm(
+            x_148,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_148 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.relu(x_149, inplace=True)
+        x_149 = None
+        x_151 = torch.conv2d(
+            x_150,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_152 = torch.nn.functional.batch_norm(
+            x_151,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_151 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_153 = torch.nn.functional.relu(x_152, inplace=True)
+        x_152 = None
+        x_154 = torch.conv2d(
+            x_153,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_155 = torch.nn.functional.batch_norm(
+            x_154,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_154 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_159 = torch.nn.functional.relu(x_158, inplace=True)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_165 = torch.nn.functional.relu(x_164, inplace=True)
+        x_164 = None
+        x_166 = torch.cat([x_150, x_153, x_156, x_159, x_162, x_165], dim=1)
+        x_153 = x_156 = x_159 = x_162 = x_165 = None
+        x_167 = torch.conv2d(
+            x_166,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_166 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_168 = torch.nn.functional.batch_norm(
+            x_167,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_167 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_169 = torch.nn.functional.relu(x_168, inplace=True)
+        x_168 = None
+        x_170 = x_169 + x_150
+        x_169 = x_150 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (None)
+        x_173 = torch.nn.functional.relu(x_172, inplace=True)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (None)
+        x_176 = torch.nn.functional.relu(x_175, inplace=True)
+        x_175 = None
+        x_177 = torch.conv2d(
+            x_176,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_178 = torch.nn.functional.batch_norm(
+            x_177,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_177 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (None)
+        x_179 = torch.nn.functional.relu(x_178, inplace=True)
+        x_178 = None
+        x_180 = torch.conv2d(
+            x_179,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_181 = torch.nn.functional.batch_norm(
+            x_180,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_180 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (None)
+        x_182 = torch.nn.functional.relu(x_181, inplace=True)
+        x_181 = None
+        x_183 = torch.conv2d(
+            x_182,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_184 = torch.nn.functional.batch_norm(
+            x_183,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_183 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (None)
+        x_185 = torch.nn.functional.relu(x_184, inplace=True)
+        x_184 = None
+        x_186 = torch.cat([x_170, x_173, x_176, x_179, x_182, x_185], dim=1)
+        x_173 = x_176 = x_179 = x_182 = x_185 = None
+        x_187 = torch.conv2d(
+            x_186,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_186 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        x_188 = torch.nn.functional.batch_norm(
+            x_187,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_187 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_ = (None)
+        x_189 = torch.nn.functional.relu(x_188, inplace=True)
+        x_188 = None
+        x_se_6 = x_189.mean((2, 3), keepdim=True)
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_190 = x_189 * hardsigmoid_3
+        x_189 = hardsigmoid_3 = None
+        x_191 = x_190 + x_170
+        x_190 = x_170 = None
+        x_192 = torch.nn.functional.adaptive_avg_pool2d(x_191, 1)
+        x_191 = None
+        x_193 = x_192.flatten(1, -1)
+        x_192 = None
+        x_194 = torch.nn.functional.dropout(x_193, 0.0, False, False)
+        x_193 = None
+        x_195 = torch._C._nn.linear(
+            x_194,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_194 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_195,)
diff --git a/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/weight_meta.py b/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/weight_meta.py
new file mode 100644
index 000000000..b69e41abe
--- /dev/null
+++ b/samples/timm/ese_vovnet57b.ra4_e3600_r256_in1k/weight_meta.py
@@ -0,0 +1,2968 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.225
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_conv_parameters_weight_"
+    shape = [128, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [160, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [512, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_attn_modules_fc_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [768, 1472, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [768, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [768, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [768, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_attn_modules_fc_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [224, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [1024, 1888, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [224, 1024, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [1024, 2144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [224, 1024, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [1024, 2144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_attn_modules_fc_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/eva02_base_patch14_224.mim_in22k/graph_hash.txt b/samples/timm/eva02_base_patch14_224.mim_in22k/graph_hash.txt
new file mode 100644
index 000000000..9af3b0d56
--- /dev/null
+++ b/samples/timm/eva02_base_patch14_224.mim_in22k/graph_hash.txt
@@ -0,0 +1 @@
+5cab81a5de7c87c8f2cdae781e504bfc5185c6ef49244ecb949d02766ccdabf4
\ No newline at end of file
diff --git a/samples/timm/eva02_base_patch14_224.mim_in22k/graph_net.json b/samples/timm/eva02_base_patch14_224.mim_in22k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/eva02_base_patch14_224.mim_in22k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/eva02_base_patch14_224.mim_in22k/input_meta.py b/samples/timm/eva02_base_patch14_224.mim_in22k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_base_patch14_224.mim_in22k/input_tensor_constraints.py b/samples/timm/eva02_base_patch14_224.mim_in22k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_base_patch14_224.mim_in22k/model.py b/samples/timm/eva02_base_patch14_224.mim_in22k/model.py
new file mode 100644
index 000000000..f8cb2f877
--- /dev/null
+++ b/samples/timm/eva02_base_patch14_224.mim_in22k/model.py
@@ -0,0 +1,3377 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_parameters_pos_embed_: torch.nn.parameter.Parameter,
+        L_self_modules_rope_buffers_pos_embed_: torch.Tensor,
+        L_self_parameters_cls_token_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_num_prefix_tokens: torch.SymInt,
+        L_self_modules_fc_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_norm_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_proj_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_bias_
+        )
+        l_self_parameters_pos_embed_ = L_self_parameters_pos_embed_
+        l_self_modules_rope_buffers_pos_embed_ = L_self_modules_rope_buffers_pos_embed_
+        l_self_parameters_cls_token_ = L_self_parameters_cls_token_
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_num_prefix_tokens = L_self_num_prefix_tokens
+        l_self_modules_fc_norm_parameters_weight_ = (
+            L_self_modules_fc_norm_parameters_weight_
+        )
+        l_self_modules_fc_norm_parameters_bias_ = (
+            L_self_modules_fc_norm_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            l_self_modules_patch_embed_modules_proj_parameters_bias_,
+            (14, 14),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_patch_embed_modules_proj_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_proj_parameters_bias_ = None
+        flatten = x.flatten(2)
+        x = None
+        x_1 = flatten.transpose(1, 2)
+        flatten = None
+        expand = l_self_parameters_cls_token_.expand(1, -1, -1)
+        l_self_parameters_cls_token_ = None
+        x_2 = torch.cat([expand, x_1], dim=1)
+        expand = x_1 = None
+        x_3 = x_2 + l_self_parameters_pos_embed_
+        x_2 = l_self_parameters_pos_embed_ = None
+        x_4 = torch.nn.functional.dropout(x_3, 0.0, False, False)
+        x_3 = None
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (768,),
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        ) = None
+        linear = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape = linear.reshape(1, 257, 12, -1)
+        linear = None
+        q = reshape.transpose(1, 2)
+        reshape = None
+        linear_1 = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_1 = linear_1.reshape(1, 257, 12, -1)
+        linear_1 = None
+        k = reshape_1.transpose(1, 2)
+        reshape_1 = None
+        linear_2 = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_5 = l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_2 = linear_2.reshape(1, 257, 12, -1)
+        linear_2 = None
+        v = reshape_2.transpose(1, 2)
+        reshape_2 = None
+        getitem_4 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_5 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q = None
+        tensor_split = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb = tensor_split[0]
+        cos_emb = tensor_split[1]
+        tensor_split = None
+        mul = getitem_5 * cos_emb
+        cos_emb = None
+        getitem_8 = getitem_5[(Ellipsis, slice(1, None, 2))]
+        neg = -getitem_8
+        getitem_8 = None
+        getitem_9 = getitem_5[(Ellipsis, slice(None, None, 2))]
+        getitem_5 = None
+        stack = torch.stack([neg, getitem_9], -1)
+        neg = getitem_9 = None
+        reshape_3 = stack.reshape((1, 12, 256, 64))
+        stack = None
+        mul_1 = reshape_3 * sin_emb
+        reshape_3 = sin_emb = None
+        add_1 = mul + mul_1
+        mul = mul_1 = None
+        cat_1 = torch.cat([getitem_4, add_1], dim=2)
+        getitem_4 = add_1 = None
+        q_1 = cat_1.type_as(v)
+        cat_1 = None
+        getitem_10 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_11 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k = None
+        tensor_split_1 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_1 = tensor_split_1[0]
+        cos_emb_1 = tensor_split_1[1]
+        tensor_split_1 = None
+        mul_2 = getitem_11 * cos_emb_1
+        cos_emb_1 = None
+        getitem_14 = getitem_11[(Ellipsis, slice(1, None, 2))]
+        neg_1 = -getitem_14
+        getitem_14 = None
+        getitem_15 = getitem_11[(Ellipsis, slice(None, None, 2))]
+        getitem_11 = None
+        stack_1 = torch.stack([neg_1, getitem_15], -1)
+        neg_1 = getitem_15 = None
+        reshape_4 = stack_1.reshape((1, 12, 256, 64))
+        stack_1 = None
+        mul_3 = reshape_4 * sin_emb_1
+        reshape_4 = sin_emb_1 = None
+        add_2 = mul_2 + mul_3
+        mul_2 = mul_3 = None
+        cat_2 = torch.cat([getitem_10, add_2], dim=2)
+        getitem_10 = add_2 = None
+        k_1 = cat_2.type_as(v)
+        cat_2 = None
+        x_6 = torch._C._nn.scaled_dot_product_attention(
+            q_1, k_1, v, attn_mask=None, dropout_p=0.0
+        )
+        q_1 = k_1 = v = None
+        transpose_4 = x_6.transpose(1, 2)
+        x_6 = None
+        x_7 = transpose_4.reshape(1, 257, 768)
+        transpose_4 = None
+        x_8 = torch._C._nn.linear(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_9 = torch.nn.functional.dropout(x_8, 0.0, False, False)
+        x_8 = None
+        x_10 = x_4 + x_9
+        x_4 = x_9 = None
+        x_11 = torch.nn.functional.layer_norm(
+            x_10,
+            (768,),
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        ) = None
+        x_gate = torch._C._nn.linear(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_12 = torch._C._nn.linear(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu = torch.nn.functional.silu(x_gate, inplace=False)
+        x_gate = None
+        x_13 = silu * x_12
+        silu = x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch.nn.functional.layer_norm(
+            x_14,
+            (2048,),
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_16 = torch._C._nn.linear(
+            x_15,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_17 = torch.nn.functional.dropout(x_16, 0.0, False, False)
+        x_16 = None
+        x_18 = x_10 + x_17
+        x_10 = x_17 = None
+        x_19 = torch.nn.functional.layer_norm(
+            x_18,
+            (768,),
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        ) = None
+        linear_7 = torch._C._nn.linear(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_6 = linear_7.reshape(1, 257, 12, -1)
+        linear_7 = None
+        q_2 = reshape_6.transpose(1, 2)
+        reshape_6 = None
+        linear_8 = torch._C._nn.linear(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_7 = linear_8.reshape(1, 257, 12, -1)
+        linear_8 = None
+        k_2 = reshape_7.transpose(1, 2)
+        reshape_7 = None
+        linear_9 = torch._C._nn.linear(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_19 = l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_8 = linear_9.reshape(1, 257, 12, -1)
+        linear_9 = None
+        v_1 = reshape_8.transpose(1, 2)
+        reshape_8 = None
+        getitem_16 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_17 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_2 = None
+        tensor_split_2 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_2 = tensor_split_2[0]
+        cos_emb_2 = tensor_split_2[1]
+        tensor_split_2 = None
+        mul_5 = getitem_17 * cos_emb_2
+        cos_emb_2 = None
+        getitem_20 = getitem_17[(Ellipsis, slice(1, None, 2))]
+        neg_2 = -getitem_20
+        getitem_20 = None
+        getitem_21 = getitem_17[(Ellipsis, slice(None, None, 2))]
+        getitem_17 = None
+        stack_2 = torch.stack([neg_2, getitem_21], -1)
+        neg_2 = getitem_21 = None
+        reshape_9 = stack_2.reshape((1, 12, 256, 64))
+        stack_2 = None
+        mul_6 = reshape_9 * sin_emb_2
+        reshape_9 = sin_emb_2 = None
+        add_5 = mul_5 + mul_6
+        mul_5 = mul_6 = None
+        cat_3 = torch.cat([getitem_16, add_5], dim=2)
+        getitem_16 = add_5 = None
+        q_3 = cat_3.type_as(v_1)
+        cat_3 = None
+        getitem_22 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_23 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_2 = None
+        tensor_split_3 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_3 = tensor_split_3[0]
+        cos_emb_3 = tensor_split_3[1]
+        tensor_split_3 = None
+        mul_7 = getitem_23 * cos_emb_3
+        cos_emb_3 = None
+        getitem_26 = getitem_23[(Ellipsis, slice(1, None, 2))]
+        neg_3 = -getitem_26
+        getitem_26 = None
+        getitem_27 = getitem_23[(Ellipsis, slice(None, None, 2))]
+        getitem_23 = None
+        stack_3 = torch.stack([neg_3, getitem_27], -1)
+        neg_3 = getitem_27 = None
+        reshape_10 = stack_3.reshape((1, 12, 256, 64))
+        stack_3 = None
+        mul_8 = reshape_10 * sin_emb_3
+        reshape_10 = sin_emb_3 = None
+        add_6 = mul_7 + mul_8
+        mul_7 = mul_8 = None
+        cat_4 = torch.cat([getitem_22, add_6], dim=2)
+        getitem_22 = add_6 = None
+        k_3 = cat_4.type_as(v_1)
+        cat_4 = None
+        x_20 = torch._C._nn.scaled_dot_product_attention(
+            q_3, k_3, v_1, attn_mask=None, dropout_p=0.0
+        )
+        q_3 = k_3 = v_1 = None
+        transpose_8 = x_20.transpose(1, 2)
+        x_20 = None
+        x_21 = transpose_8.reshape(1, 257, 768)
+        transpose_8 = None
+        x_22 = torch._C._nn.linear(
+            x_21,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_21 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_23 = torch.nn.functional.dropout(x_22, 0.0, False, False)
+        x_22 = None
+        x_24 = x_18 + x_23
+        x_18 = x_23 = None
+        x_25 = torch.nn.functional.layer_norm(
+            x_24,
+            (768,),
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_1 = torch._C._nn.linear(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_26 = torch._C._nn.linear(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_1 = torch.nn.functional.silu(x_gate_1, inplace=False)
+        x_gate_1 = None
+        x_27 = silu_1 * x_26
+        silu_1 = x_26 = None
+        x_28 = torch.nn.functional.dropout(x_27, 0.0, False, False)
+        x_27 = None
+        x_29 = torch.nn.functional.layer_norm(
+            x_28,
+            (2048,),
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_30 = torch._C._nn.linear(
+            x_29,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_31 = torch.nn.functional.dropout(x_30, 0.0, False, False)
+        x_30 = None
+        x_32 = x_24 + x_31
+        x_24 = x_31 = None
+        x_33 = torch.nn.functional.layer_norm(
+            x_32,
+            (768,),
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        ) = None
+        linear_14 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_12 = linear_14.reshape(1, 257, 12, -1)
+        linear_14 = None
+        q_4 = reshape_12.transpose(1, 2)
+        reshape_12 = None
+        linear_15 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_13 = linear_15.reshape(1, 257, 12, -1)
+        linear_15 = None
+        k_4 = reshape_13.transpose(1, 2)
+        reshape_13 = None
+        linear_16 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_33 = l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_14 = linear_16.reshape(1, 257, 12, -1)
+        linear_16 = None
+        v_2 = reshape_14.transpose(1, 2)
+        reshape_14 = None
+        getitem_28 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_29 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_4 = None
+        tensor_split_4 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_4 = tensor_split_4[0]
+        cos_emb_4 = tensor_split_4[1]
+        tensor_split_4 = None
+        mul_10 = getitem_29 * cos_emb_4
+        cos_emb_4 = None
+        getitem_32 = getitem_29[(Ellipsis, slice(1, None, 2))]
+        neg_4 = -getitem_32
+        getitem_32 = None
+        getitem_33 = getitem_29[(Ellipsis, slice(None, None, 2))]
+        getitem_29 = None
+        stack_4 = torch.stack([neg_4, getitem_33], -1)
+        neg_4 = getitem_33 = None
+        reshape_15 = stack_4.reshape((1, 12, 256, 64))
+        stack_4 = None
+        mul_11 = reshape_15 * sin_emb_4
+        reshape_15 = sin_emb_4 = None
+        add_9 = mul_10 + mul_11
+        mul_10 = mul_11 = None
+        cat_5 = torch.cat([getitem_28, add_9], dim=2)
+        getitem_28 = add_9 = None
+        q_5 = cat_5.type_as(v_2)
+        cat_5 = None
+        getitem_34 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_35 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_4 = None
+        tensor_split_5 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_5 = tensor_split_5[0]
+        cos_emb_5 = tensor_split_5[1]
+        tensor_split_5 = None
+        mul_12 = getitem_35 * cos_emb_5
+        cos_emb_5 = None
+        getitem_38 = getitem_35[(Ellipsis, slice(1, None, 2))]
+        neg_5 = -getitem_38
+        getitem_38 = None
+        getitem_39 = getitem_35[(Ellipsis, slice(None, None, 2))]
+        getitem_35 = None
+        stack_5 = torch.stack([neg_5, getitem_39], -1)
+        neg_5 = getitem_39 = None
+        reshape_16 = stack_5.reshape((1, 12, 256, 64))
+        stack_5 = None
+        mul_13 = reshape_16 * sin_emb_5
+        reshape_16 = sin_emb_5 = None
+        add_10 = mul_12 + mul_13
+        mul_12 = mul_13 = None
+        cat_6 = torch.cat([getitem_34, add_10], dim=2)
+        getitem_34 = add_10 = None
+        k_5 = cat_6.type_as(v_2)
+        cat_6 = None
+        x_34 = torch._C._nn.scaled_dot_product_attention(
+            q_5, k_5, v_2, attn_mask=None, dropout_p=0.0
+        )
+        q_5 = k_5 = v_2 = None
+        transpose_12 = x_34.transpose(1, 2)
+        x_34 = None
+        x_35 = transpose_12.reshape(1, 257, 768)
+        transpose_12 = None
+        x_36 = torch._C._nn.linear(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_37 = torch.nn.functional.dropout(x_36, 0.0, False, False)
+        x_36 = None
+        x_38 = x_32 + x_37
+        x_32 = x_37 = None
+        x_39 = torch.nn.functional.layer_norm(
+            x_38,
+            (768,),
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_2 = torch._C._nn.linear(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_40 = torch._C._nn.linear(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_2 = torch.nn.functional.silu(x_gate_2, inplace=False)
+        x_gate_2 = None
+        x_41 = silu_2 * x_40
+        silu_2 = x_40 = None
+        x_42 = torch.nn.functional.dropout(x_41, 0.0, False, False)
+        x_41 = None
+        x_43 = torch.nn.functional.layer_norm(
+            x_42,
+            (2048,),
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_44 = torch._C._nn.linear(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_45 = torch.nn.functional.dropout(x_44, 0.0, False, False)
+        x_44 = None
+        x_46 = x_38 + x_45
+        x_38 = x_45 = None
+        x_47 = torch.nn.functional.layer_norm(
+            x_46,
+            (768,),
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        ) = None
+        linear_21 = torch._C._nn.linear(
+            x_47,
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_18 = linear_21.reshape(1, 257, 12, -1)
+        linear_21 = None
+        q_6 = reshape_18.transpose(1, 2)
+        reshape_18 = None
+        linear_22 = torch._C._nn.linear(
+            x_47,
+            l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_19 = linear_22.reshape(1, 257, 12, -1)
+        linear_22 = None
+        k_6 = reshape_19.transpose(1, 2)
+        reshape_19 = None
+        linear_23 = torch._C._nn.linear(
+            x_47,
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_47 = l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_20 = linear_23.reshape(1, 257, 12, -1)
+        linear_23 = None
+        v_3 = reshape_20.transpose(1, 2)
+        reshape_20 = None
+        getitem_40 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_41 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_6 = None
+        tensor_split_6 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_6 = tensor_split_6[0]
+        cos_emb_6 = tensor_split_6[1]
+        tensor_split_6 = None
+        mul_15 = getitem_41 * cos_emb_6
+        cos_emb_6 = None
+        getitem_44 = getitem_41[(Ellipsis, slice(1, None, 2))]
+        neg_6 = -getitem_44
+        getitem_44 = None
+        getitem_45 = getitem_41[(Ellipsis, slice(None, None, 2))]
+        getitem_41 = None
+        stack_6 = torch.stack([neg_6, getitem_45], -1)
+        neg_6 = getitem_45 = None
+        reshape_21 = stack_6.reshape((1, 12, 256, 64))
+        stack_6 = None
+        mul_16 = reshape_21 * sin_emb_6
+        reshape_21 = sin_emb_6 = None
+        add_13 = mul_15 + mul_16
+        mul_15 = mul_16 = None
+        cat_7 = torch.cat([getitem_40, add_13], dim=2)
+        getitem_40 = add_13 = None
+        q_7 = cat_7.type_as(v_3)
+        cat_7 = None
+        getitem_46 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_47 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_6 = None
+        tensor_split_7 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_7 = tensor_split_7[0]
+        cos_emb_7 = tensor_split_7[1]
+        tensor_split_7 = None
+        mul_17 = getitem_47 * cos_emb_7
+        cos_emb_7 = None
+        getitem_50 = getitem_47[(Ellipsis, slice(1, None, 2))]
+        neg_7 = -getitem_50
+        getitem_50 = None
+        getitem_51 = getitem_47[(Ellipsis, slice(None, None, 2))]
+        getitem_47 = None
+        stack_7 = torch.stack([neg_7, getitem_51], -1)
+        neg_7 = getitem_51 = None
+        reshape_22 = stack_7.reshape((1, 12, 256, 64))
+        stack_7 = None
+        mul_18 = reshape_22 * sin_emb_7
+        reshape_22 = sin_emb_7 = None
+        add_14 = mul_17 + mul_18
+        mul_17 = mul_18 = None
+        cat_8 = torch.cat([getitem_46, add_14], dim=2)
+        getitem_46 = add_14 = None
+        k_7 = cat_8.type_as(v_3)
+        cat_8 = None
+        x_48 = torch._C._nn.scaled_dot_product_attention(
+            q_7, k_7, v_3, attn_mask=None, dropout_p=0.0
+        )
+        q_7 = k_7 = v_3 = None
+        transpose_16 = x_48.transpose(1, 2)
+        x_48 = None
+        x_49 = transpose_16.reshape(1, 257, 768)
+        transpose_16 = None
+        x_50 = torch._C._nn.linear(
+            x_49,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_51 = torch.nn.functional.dropout(x_50, 0.0, False, False)
+        x_50 = None
+        x_52 = x_46 + x_51
+        x_46 = x_51 = None
+        x_53 = torch.nn.functional.layer_norm(
+            x_52,
+            (768,),
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_3 = torch._C._nn.linear(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_54 = torch._C._nn.linear(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_3 = torch.nn.functional.silu(x_gate_3, inplace=False)
+        x_gate_3 = None
+        x_55 = silu_3 * x_54
+        silu_3 = x_54 = None
+        x_56 = torch.nn.functional.dropout(x_55, 0.0, False, False)
+        x_55 = None
+        x_57 = torch.nn.functional.layer_norm(
+            x_56,
+            (2048,),
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_58 = torch._C._nn.linear(
+            x_57,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_59 = torch.nn.functional.dropout(x_58, 0.0, False, False)
+        x_58 = None
+        x_60 = x_52 + x_59
+        x_52 = x_59 = None
+        x_61 = torch.nn.functional.layer_norm(
+            x_60,
+            (768,),
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        ) = None
+        linear_28 = torch._C._nn.linear(
+            x_61,
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_24 = linear_28.reshape(1, 257, 12, -1)
+        linear_28 = None
+        q_8 = reshape_24.transpose(1, 2)
+        reshape_24 = None
+        linear_29 = torch._C._nn.linear(
+            x_61,
+            l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_25 = linear_29.reshape(1, 257, 12, -1)
+        linear_29 = None
+        k_8 = reshape_25.transpose(1, 2)
+        reshape_25 = None
+        linear_30 = torch._C._nn.linear(
+            x_61,
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_61 = l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_26 = linear_30.reshape(1, 257, 12, -1)
+        linear_30 = None
+        v_4 = reshape_26.transpose(1, 2)
+        reshape_26 = None
+        getitem_52 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_53 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_8 = None
+        tensor_split_8 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_8 = tensor_split_8[0]
+        cos_emb_8 = tensor_split_8[1]
+        tensor_split_8 = None
+        mul_20 = getitem_53 * cos_emb_8
+        cos_emb_8 = None
+        getitem_56 = getitem_53[(Ellipsis, slice(1, None, 2))]
+        neg_8 = -getitem_56
+        getitem_56 = None
+        getitem_57 = getitem_53[(Ellipsis, slice(None, None, 2))]
+        getitem_53 = None
+        stack_8 = torch.stack([neg_8, getitem_57], -1)
+        neg_8 = getitem_57 = None
+        reshape_27 = stack_8.reshape((1, 12, 256, 64))
+        stack_8 = None
+        mul_21 = reshape_27 * sin_emb_8
+        reshape_27 = sin_emb_8 = None
+        add_17 = mul_20 + mul_21
+        mul_20 = mul_21 = None
+        cat_9 = torch.cat([getitem_52, add_17], dim=2)
+        getitem_52 = add_17 = None
+        q_9 = cat_9.type_as(v_4)
+        cat_9 = None
+        getitem_58 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_59 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_8 = None
+        tensor_split_9 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_9 = tensor_split_9[0]
+        cos_emb_9 = tensor_split_9[1]
+        tensor_split_9 = None
+        mul_22 = getitem_59 * cos_emb_9
+        cos_emb_9 = None
+        getitem_62 = getitem_59[(Ellipsis, slice(1, None, 2))]
+        neg_9 = -getitem_62
+        getitem_62 = None
+        getitem_63 = getitem_59[(Ellipsis, slice(None, None, 2))]
+        getitem_59 = None
+        stack_9 = torch.stack([neg_9, getitem_63], -1)
+        neg_9 = getitem_63 = None
+        reshape_28 = stack_9.reshape((1, 12, 256, 64))
+        stack_9 = None
+        mul_23 = reshape_28 * sin_emb_9
+        reshape_28 = sin_emb_9 = None
+        add_18 = mul_22 + mul_23
+        mul_22 = mul_23 = None
+        cat_10 = torch.cat([getitem_58, add_18], dim=2)
+        getitem_58 = add_18 = None
+        k_9 = cat_10.type_as(v_4)
+        cat_10 = None
+        x_62 = torch._C._nn.scaled_dot_product_attention(
+            q_9, k_9, v_4, attn_mask=None, dropout_p=0.0
+        )
+        q_9 = k_9 = v_4 = None
+        transpose_20 = x_62.transpose(1, 2)
+        x_62 = None
+        x_63 = transpose_20.reshape(1, 257, 768)
+        transpose_20 = None
+        x_64 = torch._C._nn.linear(
+            x_63,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_65 = torch.nn.functional.dropout(x_64, 0.0, False, False)
+        x_64 = None
+        x_66 = x_60 + x_65
+        x_60 = x_65 = None
+        x_67 = torch.nn.functional.layer_norm(
+            x_66,
+            (768,),
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_4 = torch._C._nn.linear(
+            x_67,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_68 = torch._C._nn.linear(
+            x_67,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_4 = torch.nn.functional.silu(x_gate_4, inplace=False)
+        x_gate_4 = None
+        x_69 = silu_4 * x_68
+        silu_4 = x_68 = None
+        x_70 = torch.nn.functional.dropout(x_69, 0.0, False, False)
+        x_69 = None
+        x_71 = torch.nn.functional.layer_norm(
+            x_70,
+            (2048,),
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_72 = torch._C._nn.linear(
+            x_71,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_73 = torch.nn.functional.dropout(x_72, 0.0, False, False)
+        x_72 = None
+        x_74 = x_66 + x_73
+        x_66 = x_73 = None
+        x_75 = torch.nn.functional.layer_norm(
+            x_74,
+            (768,),
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        ) = None
+        linear_35 = torch._C._nn.linear(
+            x_75,
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_30 = linear_35.reshape(1, 257, 12, -1)
+        linear_35 = None
+        q_10 = reshape_30.transpose(1, 2)
+        reshape_30 = None
+        linear_36 = torch._C._nn.linear(
+            x_75,
+            l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_31 = linear_36.reshape(1, 257, 12, -1)
+        linear_36 = None
+        k_10 = reshape_31.transpose(1, 2)
+        reshape_31 = None
+        linear_37 = torch._C._nn.linear(
+            x_75,
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_75 = l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_32 = linear_37.reshape(1, 257, 12, -1)
+        linear_37 = None
+        v_5 = reshape_32.transpose(1, 2)
+        reshape_32 = None
+        getitem_64 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_65 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_10 = None
+        tensor_split_10 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_10 = tensor_split_10[0]
+        cos_emb_10 = tensor_split_10[1]
+        tensor_split_10 = None
+        mul_25 = getitem_65 * cos_emb_10
+        cos_emb_10 = None
+        getitem_68 = getitem_65[(Ellipsis, slice(1, None, 2))]
+        neg_10 = -getitem_68
+        getitem_68 = None
+        getitem_69 = getitem_65[(Ellipsis, slice(None, None, 2))]
+        getitem_65 = None
+        stack_10 = torch.stack([neg_10, getitem_69], -1)
+        neg_10 = getitem_69 = None
+        reshape_33 = stack_10.reshape((1, 12, 256, 64))
+        stack_10 = None
+        mul_26 = reshape_33 * sin_emb_10
+        reshape_33 = sin_emb_10 = None
+        add_21 = mul_25 + mul_26
+        mul_25 = mul_26 = None
+        cat_11 = torch.cat([getitem_64, add_21], dim=2)
+        getitem_64 = add_21 = None
+        q_11 = cat_11.type_as(v_5)
+        cat_11 = None
+        getitem_70 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_71 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_10 = None
+        tensor_split_11 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_11 = tensor_split_11[0]
+        cos_emb_11 = tensor_split_11[1]
+        tensor_split_11 = None
+        mul_27 = getitem_71 * cos_emb_11
+        cos_emb_11 = None
+        getitem_74 = getitem_71[(Ellipsis, slice(1, None, 2))]
+        neg_11 = -getitem_74
+        getitem_74 = None
+        getitem_75 = getitem_71[(Ellipsis, slice(None, None, 2))]
+        getitem_71 = None
+        stack_11 = torch.stack([neg_11, getitem_75], -1)
+        neg_11 = getitem_75 = None
+        reshape_34 = stack_11.reshape((1, 12, 256, 64))
+        stack_11 = None
+        mul_28 = reshape_34 * sin_emb_11
+        reshape_34 = sin_emb_11 = None
+        add_22 = mul_27 + mul_28
+        mul_27 = mul_28 = None
+        cat_12 = torch.cat([getitem_70, add_22], dim=2)
+        getitem_70 = add_22 = None
+        k_11 = cat_12.type_as(v_5)
+        cat_12 = None
+        x_76 = torch._C._nn.scaled_dot_product_attention(
+            q_11, k_11, v_5, attn_mask=None, dropout_p=0.0
+        )
+        q_11 = k_11 = v_5 = None
+        transpose_24 = x_76.transpose(1, 2)
+        x_76 = None
+        x_77 = transpose_24.reshape(1, 257, 768)
+        transpose_24 = None
+        x_78 = torch._C._nn.linear(
+            x_77,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_77 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_79 = torch.nn.functional.dropout(x_78, 0.0, False, False)
+        x_78 = None
+        x_80 = x_74 + x_79
+        x_74 = x_79 = None
+        x_81 = torch.nn.functional.layer_norm(
+            x_80,
+            (768,),
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_5 = torch._C._nn.linear(
+            x_81,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_82 = torch._C._nn.linear(
+            x_81,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_5 = torch.nn.functional.silu(x_gate_5, inplace=False)
+        x_gate_5 = None
+        x_83 = silu_5 * x_82
+        silu_5 = x_82 = None
+        x_84 = torch.nn.functional.dropout(x_83, 0.0, False, False)
+        x_83 = None
+        x_85 = torch.nn.functional.layer_norm(
+            x_84,
+            (2048,),
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_84 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_86 = torch._C._nn.linear(
+            x_85,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.dropout(x_86, 0.0, False, False)
+        x_86 = None
+        x_88 = x_80 + x_87
+        x_80 = x_87 = None
+        x_89 = torch.nn.functional.layer_norm(
+            x_88,
+            (768,),
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        ) = None
+        linear_42 = torch._C._nn.linear(
+            x_89,
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_36 = linear_42.reshape(1, 257, 12, -1)
+        linear_42 = None
+        q_12 = reshape_36.transpose(1, 2)
+        reshape_36 = None
+        linear_43 = torch._C._nn.linear(
+            x_89,
+            l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_37 = linear_43.reshape(1, 257, 12, -1)
+        linear_43 = None
+        k_12 = reshape_37.transpose(1, 2)
+        reshape_37 = None
+        linear_44 = torch._C._nn.linear(
+            x_89,
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_89 = l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_38 = linear_44.reshape(1, 257, 12, -1)
+        linear_44 = None
+        v_6 = reshape_38.transpose(1, 2)
+        reshape_38 = None
+        getitem_76 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_77 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_12 = None
+        tensor_split_12 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_12 = tensor_split_12[0]
+        cos_emb_12 = tensor_split_12[1]
+        tensor_split_12 = None
+        mul_30 = getitem_77 * cos_emb_12
+        cos_emb_12 = None
+        getitem_80 = getitem_77[(Ellipsis, slice(1, None, 2))]
+        neg_12 = -getitem_80
+        getitem_80 = None
+        getitem_81 = getitem_77[(Ellipsis, slice(None, None, 2))]
+        getitem_77 = None
+        stack_12 = torch.stack([neg_12, getitem_81], -1)
+        neg_12 = getitem_81 = None
+        reshape_39 = stack_12.reshape((1, 12, 256, 64))
+        stack_12 = None
+        mul_31 = reshape_39 * sin_emb_12
+        reshape_39 = sin_emb_12 = None
+        add_25 = mul_30 + mul_31
+        mul_30 = mul_31 = None
+        cat_13 = torch.cat([getitem_76, add_25], dim=2)
+        getitem_76 = add_25 = None
+        q_13 = cat_13.type_as(v_6)
+        cat_13 = None
+        getitem_82 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_83 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_12 = None
+        tensor_split_13 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_13 = tensor_split_13[0]
+        cos_emb_13 = tensor_split_13[1]
+        tensor_split_13 = None
+        mul_32 = getitem_83 * cos_emb_13
+        cos_emb_13 = None
+        getitem_86 = getitem_83[(Ellipsis, slice(1, None, 2))]
+        neg_13 = -getitem_86
+        getitem_86 = None
+        getitem_87 = getitem_83[(Ellipsis, slice(None, None, 2))]
+        getitem_83 = None
+        stack_13 = torch.stack([neg_13, getitem_87], -1)
+        neg_13 = getitem_87 = None
+        reshape_40 = stack_13.reshape((1, 12, 256, 64))
+        stack_13 = None
+        mul_33 = reshape_40 * sin_emb_13
+        reshape_40 = sin_emb_13 = None
+        add_26 = mul_32 + mul_33
+        mul_32 = mul_33 = None
+        cat_14 = torch.cat([getitem_82, add_26], dim=2)
+        getitem_82 = add_26 = None
+        k_13 = cat_14.type_as(v_6)
+        cat_14 = None
+        x_90 = torch._C._nn.scaled_dot_product_attention(
+            q_13, k_13, v_6, attn_mask=None, dropout_p=0.0
+        )
+        q_13 = k_13 = v_6 = None
+        transpose_28 = x_90.transpose(1, 2)
+        x_90 = None
+        x_91 = transpose_28.reshape(1, 257, 768)
+        transpose_28 = None
+        x_92 = torch._C._nn.linear(
+            x_91,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_93 = torch.nn.functional.dropout(x_92, 0.0, False, False)
+        x_92 = None
+        x_94 = x_88 + x_93
+        x_88 = x_93 = None
+        x_95 = torch.nn.functional.layer_norm(
+            x_94,
+            (768,),
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_6 = torch._C._nn.linear(
+            x_95,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_96 = torch._C._nn.linear(
+            x_95,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_95 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_6 = torch.nn.functional.silu(x_gate_6, inplace=False)
+        x_gate_6 = None
+        x_97 = silu_6 * x_96
+        silu_6 = x_96 = None
+        x_98 = torch.nn.functional.dropout(x_97, 0.0, False, False)
+        x_97 = None
+        x_99 = torch.nn.functional.layer_norm(
+            x_98,
+            (2048,),
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_100 = torch._C._nn.linear(
+            x_99,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_99 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_101 = torch.nn.functional.dropout(x_100, 0.0, False, False)
+        x_100 = None
+        x_102 = x_94 + x_101
+        x_94 = x_101 = None
+        x_103 = torch.nn.functional.layer_norm(
+            x_102,
+            (768,),
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        ) = None
+        linear_49 = torch._C._nn.linear(
+            x_103,
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_42 = linear_49.reshape(1, 257, 12, -1)
+        linear_49 = None
+        q_14 = reshape_42.transpose(1, 2)
+        reshape_42 = None
+        linear_50 = torch._C._nn.linear(
+            x_103,
+            l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_43 = linear_50.reshape(1, 257, 12, -1)
+        linear_50 = None
+        k_14 = reshape_43.transpose(1, 2)
+        reshape_43 = None
+        linear_51 = torch._C._nn.linear(
+            x_103,
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_103 = l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_44 = linear_51.reshape(1, 257, 12, -1)
+        linear_51 = None
+        v_7 = reshape_44.transpose(1, 2)
+        reshape_44 = None
+        getitem_88 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_89 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_14 = None
+        tensor_split_14 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_14 = tensor_split_14[0]
+        cos_emb_14 = tensor_split_14[1]
+        tensor_split_14 = None
+        mul_35 = getitem_89 * cos_emb_14
+        cos_emb_14 = None
+        getitem_92 = getitem_89[(Ellipsis, slice(1, None, 2))]
+        neg_14 = -getitem_92
+        getitem_92 = None
+        getitem_93 = getitem_89[(Ellipsis, slice(None, None, 2))]
+        getitem_89 = None
+        stack_14 = torch.stack([neg_14, getitem_93], -1)
+        neg_14 = getitem_93 = None
+        reshape_45 = stack_14.reshape((1, 12, 256, 64))
+        stack_14 = None
+        mul_36 = reshape_45 * sin_emb_14
+        reshape_45 = sin_emb_14 = None
+        add_29 = mul_35 + mul_36
+        mul_35 = mul_36 = None
+        cat_15 = torch.cat([getitem_88, add_29], dim=2)
+        getitem_88 = add_29 = None
+        q_15 = cat_15.type_as(v_7)
+        cat_15 = None
+        getitem_94 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_95 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_14 = None
+        tensor_split_15 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_15 = tensor_split_15[0]
+        cos_emb_15 = tensor_split_15[1]
+        tensor_split_15 = None
+        mul_37 = getitem_95 * cos_emb_15
+        cos_emb_15 = None
+        getitem_98 = getitem_95[(Ellipsis, slice(1, None, 2))]
+        neg_15 = -getitem_98
+        getitem_98 = None
+        getitem_99 = getitem_95[(Ellipsis, slice(None, None, 2))]
+        getitem_95 = None
+        stack_15 = torch.stack([neg_15, getitem_99], -1)
+        neg_15 = getitem_99 = None
+        reshape_46 = stack_15.reshape((1, 12, 256, 64))
+        stack_15 = None
+        mul_38 = reshape_46 * sin_emb_15
+        reshape_46 = sin_emb_15 = None
+        add_30 = mul_37 + mul_38
+        mul_37 = mul_38 = None
+        cat_16 = torch.cat([getitem_94, add_30], dim=2)
+        getitem_94 = add_30 = None
+        k_15 = cat_16.type_as(v_7)
+        cat_16 = None
+        x_104 = torch._C._nn.scaled_dot_product_attention(
+            q_15, k_15, v_7, attn_mask=None, dropout_p=0.0
+        )
+        q_15 = k_15 = v_7 = None
+        transpose_32 = x_104.transpose(1, 2)
+        x_104 = None
+        x_105 = transpose_32.reshape(1, 257, 768)
+        transpose_32 = None
+        x_106 = torch._C._nn.linear(
+            x_105,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_107 = torch.nn.functional.dropout(x_106, 0.0, False, False)
+        x_106 = None
+        x_108 = x_102 + x_107
+        x_102 = x_107 = None
+        x_109 = torch.nn.functional.layer_norm(
+            x_108,
+            (768,),
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_7 = torch._C._nn.linear(
+            x_109,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_110 = torch._C._nn.linear(
+            x_109,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_7 = torch.nn.functional.silu(x_gate_7, inplace=False)
+        x_gate_7 = None
+        x_111 = silu_7 * x_110
+        silu_7 = x_110 = None
+        x_112 = torch.nn.functional.dropout(x_111, 0.0, False, False)
+        x_111 = None
+        x_113 = torch.nn.functional.layer_norm(
+            x_112,
+            (2048,),
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_114 = torch._C._nn.linear(
+            x_113,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_115 = torch.nn.functional.dropout(x_114, 0.0, False, False)
+        x_114 = None
+        x_116 = x_108 + x_115
+        x_108 = x_115 = None
+        x_117 = torch.nn.functional.layer_norm(
+            x_116,
+            (768,),
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        ) = None
+        linear_56 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_48 = linear_56.reshape(1, 257, 12, -1)
+        linear_56 = None
+        q_16 = reshape_48.transpose(1, 2)
+        reshape_48 = None
+        linear_57 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_49 = linear_57.reshape(1, 257, 12, -1)
+        linear_57 = None
+        k_16 = reshape_49.transpose(1, 2)
+        reshape_49 = None
+        linear_58 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_117 = l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_50 = linear_58.reshape(1, 257, 12, -1)
+        linear_58 = None
+        v_8 = reshape_50.transpose(1, 2)
+        reshape_50 = None
+        getitem_100 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_101 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_16 = None
+        tensor_split_16 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_16 = tensor_split_16[0]
+        cos_emb_16 = tensor_split_16[1]
+        tensor_split_16 = None
+        mul_40 = getitem_101 * cos_emb_16
+        cos_emb_16 = None
+        getitem_104 = getitem_101[(Ellipsis, slice(1, None, 2))]
+        neg_16 = -getitem_104
+        getitem_104 = None
+        getitem_105 = getitem_101[(Ellipsis, slice(None, None, 2))]
+        getitem_101 = None
+        stack_16 = torch.stack([neg_16, getitem_105], -1)
+        neg_16 = getitem_105 = None
+        reshape_51 = stack_16.reshape((1, 12, 256, 64))
+        stack_16 = None
+        mul_41 = reshape_51 * sin_emb_16
+        reshape_51 = sin_emb_16 = None
+        add_33 = mul_40 + mul_41
+        mul_40 = mul_41 = None
+        cat_17 = torch.cat([getitem_100, add_33], dim=2)
+        getitem_100 = add_33 = None
+        q_17 = cat_17.type_as(v_8)
+        cat_17 = None
+        getitem_106 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_107 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_16 = None
+        tensor_split_17 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_17 = tensor_split_17[0]
+        cos_emb_17 = tensor_split_17[1]
+        tensor_split_17 = None
+        mul_42 = getitem_107 * cos_emb_17
+        cos_emb_17 = None
+        getitem_110 = getitem_107[(Ellipsis, slice(1, None, 2))]
+        neg_17 = -getitem_110
+        getitem_110 = None
+        getitem_111 = getitem_107[(Ellipsis, slice(None, None, 2))]
+        getitem_107 = None
+        stack_17 = torch.stack([neg_17, getitem_111], -1)
+        neg_17 = getitem_111 = None
+        reshape_52 = stack_17.reshape((1, 12, 256, 64))
+        stack_17 = None
+        mul_43 = reshape_52 * sin_emb_17
+        reshape_52 = sin_emb_17 = None
+        add_34 = mul_42 + mul_43
+        mul_42 = mul_43 = None
+        cat_18 = torch.cat([getitem_106, add_34], dim=2)
+        getitem_106 = add_34 = None
+        k_17 = cat_18.type_as(v_8)
+        cat_18 = None
+        x_118 = torch._C._nn.scaled_dot_product_attention(
+            q_17, k_17, v_8, attn_mask=None, dropout_p=0.0
+        )
+        q_17 = k_17 = v_8 = None
+        transpose_36 = x_118.transpose(1, 2)
+        x_118 = None
+        x_119 = transpose_36.reshape(1, 257, 768)
+        transpose_36 = None
+        x_120 = torch._C._nn.linear(
+            x_119,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_119 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_121 = torch.nn.functional.dropout(x_120, 0.0, False, False)
+        x_120 = None
+        x_122 = x_116 + x_121
+        x_116 = x_121 = None
+        x_123 = torch.nn.functional.layer_norm(
+            x_122,
+            (768,),
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_8 = torch._C._nn.linear(
+            x_123,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_124 = torch._C._nn.linear(
+            x_123,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_8 = torch.nn.functional.silu(x_gate_8, inplace=False)
+        x_gate_8 = None
+        x_125 = silu_8 * x_124
+        silu_8 = x_124 = None
+        x_126 = torch.nn.functional.dropout(x_125, 0.0, False, False)
+        x_125 = None
+        x_127 = torch.nn.functional.layer_norm(
+            x_126,
+            (2048,),
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_128 = torch._C._nn.linear(
+            x_127,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_129 = torch.nn.functional.dropout(x_128, 0.0, False, False)
+        x_128 = None
+        x_130 = x_122 + x_129
+        x_122 = x_129 = None
+        x_131 = torch.nn.functional.layer_norm(
+            x_130,
+            (768,),
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        ) = None
+        linear_63 = torch._C._nn.linear(
+            x_131,
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_54 = linear_63.reshape(1, 257, 12, -1)
+        linear_63 = None
+        q_18 = reshape_54.transpose(1, 2)
+        reshape_54 = None
+        linear_64 = torch._C._nn.linear(
+            x_131,
+            l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_55 = linear_64.reshape(1, 257, 12, -1)
+        linear_64 = None
+        k_18 = reshape_55.transpose(1, 2)
+        reshape_55 = None
+        linear_65 = torch._C._nn.linear(
+            x_131,
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_131 = l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_56 = linear_65.reshape(1, 257, 12, -1)
+        linear_65 = None
+        v_9 = reshape_56.transpose(1, 2)
+        reshape_56 = None
+        getitem_112 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_113 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_18 = None
+        tensor_split_18 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_18 = tensor_split_18[0]
+        cos_emb_18 = tensor_split_18[1]
+        tensor_split_18 = None
+        mul_45 = getitem_113 * cos_emb_18
+        cos_emb_18 = None
+        getitem_116 = getitem_113[(Ellipsis, slice(1, None, 2))]
+        neg_18 = -getitem_116
+        getitem_116 = None
+        getitem_117 = getitem_113[(Ellipsis, slice(None, None, 2))]
+        getitem_113 = None
+        stack_18 = torch.stack([neg_18, getitem_117], -1)
+        neg_18 = getitem_117 = None
+        reshape_57 = stack_18.reshape((1, 12, 256, 64))
+        stack_18 = None
+        mul_46 = reshape_57 * sin_emb_18
+        reshape_57 = sin_emb_18 = None
+        add_37 = mul_45 + mul_46
+        mul_45 = mul_46 = None
+        cat_19 = torch.cat([getitem_112, add_37], dim=2)
+        getitem_112 = add_37 = None
+        q_19 = cat_19.type_as(v_9)
+        cat_19 = None
+        getitem_118 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_119 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_18 = None
+        tensor_split_19 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_19 = tensor_split_19[0]
+        cos_emb_19 = tensor_split_19[1]
+        tensor_split_19 = None
+        mul_47 = getitem_119 * cos_emb_19
+        cos_emb_19 = None
+        getitem_122 = getitem_119[(Ellipsis, slice(1, None, 2))]
+        neg_19 = -getitem_122
+        getitem_122 = None
+        getitem_123 = getitem_119[(Ellipsis, slice(None, None, 2))]
+        getitem_119 = None
+        stack_19 = torch.stack([neg_19, getitem_123], -1)
+        neg_19 = getitem_123 = None
+        reshape_58 = stack_19.reshape((1, 12, 256, 64))
+        stack_19 = None
+        mul_48 = reshape_58 * sin_emb_19
+        reshape_58 = sin_emb_19 = None
+        add_38 = mul_47 + mul_48
+        mul_47 = mul_48 = None
+        cat_20 = torch.cat([getitem_118, add_38], dim=2)
+        getitem_118 = add_38 = None
+        k_19 = cat_20.type_as(v_9)
+        cat_20 = None
+        x_132 = torch._C._nn.scaled_dot_product_attention(
+            q_19, k_19, v_9, attn_mask=None, dropout_p=0.0
+        )
+        q_19 = k_19 = v_9 = None
+        transpose_40 = x_132.transpose(1, 2)
+        x_132 = None
+        x_133 = transpose_40.reshape(1, 257, 768)
+        transpose_40 = None
+        x_134 = torch._C._nn.linear(
+            x_133,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_135 = torch.nn.functional.dropout(x_134, 0.0, False, False)
+        x_134 = None
+        x_136 = x_130 + x_135
+        x_130 = x_135 = None
+        x_137 = torch.nn.functional.layer_norm(
+            x_136,
+            (768,),
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_9 = torch._C._nn.linear(
+            x_137,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_138 = torch._C._nn.linear(
+            x_137,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_137 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_9 = torch.nn.functional.silu(x_gate_9, inplace=False)
+        x_gate_9 = None
+        x_139 = silu_9 * x_138
+        silu_9 = x_138 = None
+        x_140 = torch.nn.functional.dropout(x_139, 0.0, False, False)
+        x_139 = None
+        x_141 = torch.nn.functional.layer_norm(
+            x_140,
+            (2048,),
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_142 = torch._C._nn.linear(
+            x_141,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_143 = torch.nn.functional.dropout(x_142, 0.0, False, False)
+        x_142 = None
+        x_144 = x_136 + x_143
+        x_136 = x_143 = None
+        x_145 = torch.nn.functional.layer_norm(
+            x_144,
+            (768,),
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        ) = None
+        linear_70 = torch._C._nn.linear(
+            x_145,
+            l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_60 = linear_70.reshape(1, 257, 12, -1)
+        linear_70 = None
+        q_20 = reshape_60.transpose(1, 2)
+        reshape_60 = None
+        linear_71 = torch._C._nn.linear(
+            x_145,
+            l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_61 = linear_71.reshape(1, 257, 12, -1)
+        linear_71 = None
+        k_20 = reshape_61.transpose(1, 2)
+        reshape_61 = None
+        linear_72 = torch._C._nn.linear(
+            x_145,
+            l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_145 = l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_62 = linear_72.reshape(1, 257, 12, -1)
+        linear_72 = None
+        v_10 = reshape_62.transpose(1, 2)
+        reshape_62 = None
+        getitem_124 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_125 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_20 = None
+        tensor_split_20 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_20 = tensor_split_20[0]
+        cos_emb_20 = tensor_split_20[1]
+        tensor_split_20 = None
+        mul_50 = getitem_125 * cos_emb_20
+        cos_emb_20 = None
+        getitem_128 = getitem_125[(Ellipsis, slice(1, None, 2))]
+        neg_20 = -getitem_128
+        getitem_128 = None
+        getitem_129 = getitem_125[(Ellipsis, slice(None, None, 2))]
+        getitem_125 = None
+        stack_20 = torch.stack([neg_20, getitem_129], -1)
+        neg_20 = getitem_129 = None
+        reshape_63 = stack_20.reshape((1, 12, 256, 64))
+        stack_20 = None
+        mul_51 = reshape_63 * sin_emb_20
+        reshape_63 = sin_emb_20 = None
+        add_41 = mul_50 + mul_51
+        mul_50 = mul_51 = None
+        cat_21 = torch.cat([getitem_124, add_41], dim=2)
+        getitem_124 = add_41 = None
+        q_21 = cat_21.type_as(v_10)
+        cat_21 = None
+        getitem_130 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_131 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_20 = None
+        tensor_split_21 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_21 = tensor_split_21[0]
+        cos_emb_21 = tensor_split_21[1]
+        tensor_split_21 = None
+        mul_52 = getitem_131 * cos_emb_21
+        cos_emb_21 = None
+        getitem_134 = getitem_131[(Ellipsis, slice(1, None, 2))]
+        neg_21 = -getitem_134
+        getitem_134 = None
+        getitem_135 = getitem_131[(Ellipsis, slice(None, None, 2))]
+        getitem_131 = None
+        stack_21 = torch.stack([neg_21, getitem_135], -1)
+        neg_21 = getitem_135 = None
+        reshape_64 = stack_21.reshape((1, 12, 256, 64))
+        stack_21 = None
+        mul_53 = reshape_64 * sin_emb_21
+        reshape_64 = sin_emb_21 = None
+        add_42 = mul_52 + mul_53
+        mul_52 = mul_53 = None
+        cat_22 = torch.cat([getitem_130, add_42], dim=2)
+        getitem_130 = add_42 = None
+        k_21 = cat_22.type_as(v_10)
+        cat_22 = None
+        x_146 = torch._C._nn.scaled_dot_product_attention(
+            q_21, k_21, v_10, attn_mask=None, dropout_p=0.0
+        )
+        q_21 = k_21 = v_10 = None
+        transpose_44 = x_146.transpose(1, 2)
+        x_146 = None
+        x_147 = transpose_44.reshape(1, 257, 768)
+        transpose_44 = None
+        x_148 = torch._C._nn.linear(
+            x_147,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_147 = l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_149 = torch.nn.functional.dropout(x_148, 0.0, False, False)
+        x_148 = None
+        x_150 = x_144 + x_149
+        x_144 = x_149 = None
+        x_151 = torch.nn.functional.layer_norm(
+            x_150,
+            (768,),
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_10 = torch._C._nn.linear(
+            x_151,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_152 = torch._C._nn.linear(
+            x_151,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_151 = l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_10 = torch.nn.functional.silu(x_gate_10, inplace=False)
+        x_gate_10 = None
+        x_153 = silu_10 * x_152
+        silu_10 = x_152 = None
+        x_154 = torch.nn.functional.dropout(x_153, 0.0, False, False)
+        x_153 = None
+        x_155 = torch.nn.functional.layer_norm(
+            x_154,
+            (2048,),
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_156 = torch._C._nn.linear(
+            x_155,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_157 = torch.nn.functional.dropout(x_156, 0.0, False, False)
+        x_156 = None
+        x_158 = x_150 + x_157
+        x_150 = x_157 = None
+        x_159 = torch.nn.functional.layer_norm(
+            x_158,
+            (768,),
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        ) = None
+        linear_77 = torch._C._nn.linear(
+            x_159,
+            l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_66 = linear_77.reshape(1, 257, 12, -1)
+        linear_77 = None
+        q_22 = reshape_66.transpose(1, 2)
+        reshape_66 = None
+        linear_78 = torch._C._nn.linear(
+            x_159,
+            l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_67 = linear_78.reshape(1, 257, 12, -1)
+        linear_78 = None
+        k_22 = reshape_67.transpose(1, 2)
+        reshape_67 = None
+        linear_79 = torch._C._nn.linear(
+            x_159,
+            l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_159 = l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_68 = linear_79.reshape(1, 257, 12, -1)
+        linear_79 = None
+        v_11 = reshape_68.transpose(1, 2)
+        reshape_68 = None
+        getitem_136 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_137 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_22 = None
+        tensor_split_22 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_22 = tensor_split_22[0]
+        cos_emb_22 = tensor_split_22[1]
+        tensor_split_22 = None
+        mul_55 = getitem_137 * cos_emb_22
+        cos_emb_22 = None
+        getitem_140 = getitem_137[(Ellipsis, slice(1, None, 2))]
+        neg_22 = -getitem_140
+        getitem_140 = None
+        getitem_141 = getitem_137[(Ellipsis, slice(None, None, 2))]
+        getitem_137 = None
+        stack_22 = torch.stack([neg_22, getitem_141], -1)
+        neg_22 = getitem_141 = None
+        reshape_69 = stack_22.reshape((1, 12, 256, 64))
+        stack_22 = None
+        mul_56 = reshape_69 * sin_emb_22
+        reshape_69 = sin_emb_22 = None
+        add_45 = mul_55 + mul_56
+        mul_55 = mul_56 = None
+        cat_23 = torch.cat([getitem_136, add_45], dim=2)
+        getitem_136 = add_45 = None
+        q_23 = cat_23.type_as(v_11)
+        cat_23 = None
+        getitem_142 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_143 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_22 = None
+        tensor_split_23 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        l_self_modules_rope_buffers_pos_embed_ = None
+        sin_emb_23 = tensor_split_23[0]
+        cos_emb_23 = tensor_split_23[1]
+        tensor_split_23 = None
+        mul_57 = getitem_143 * cos_emb_23
+        cos_emb_23 = None
+        getitem_146 = getitem_143[(Ellipsis, slice(1, None, 2))]
+        neg_23 = -getitem_146
+        getitem_146 = None
+        getitem_147 = getitem_143[(Ellipsis, slice(None, None, 2))]
+        getitem_143 = None
+        stack_23 = torch.stack([neg_23, getitem_147], -1)
+        neg_23 = getitem_147 = None
+        reshape_70 = stack_23.reshape((1, 12, 256, 64))
+        stack_23 = None
+        mul_58 = reshape_70 * sin_emb_23
+        reshape_70 = sin_emb_23 = None
+        add_46 = mul_57 + mul_58
+        mul_57 = mul_58 = None
+        cat_24 = torch.cat([getitem_142, add_46], dim=2)
+        getitem_142 = add_46 = None
+        k_23 = cat_24.type_as(v_11)
+        cat_24 = None
+        x_160 = torch._C._nn.scaled_dot_product_attention(
+            q_23, k_23, v_11, attn_mask=None, dropout_p=0.0
+        )
+        q_23 = k_23 = v_11 = None
+        transpose_48 = x_160.transpose(1, 2)
+        x_160 = None
+        x_161 = transpose_48.reshape(1, 257, 768)
+        transpose_48 = None
+        x_162 = torch._C._nn.linear(
+            x_161,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_161 = l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_163 = torch.nn.functional.dropout(x_162, 0.0, False, False)
+        x_162 = None
+        x_164 = x_158 + x_163
+        x_158 = x_163 = None
+        x_165 = torch.nn.functional.layer_norm(
+            x_164,
+            (768,),
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_11 = torch._C._nn.linear(
+            x_165,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_166 = torch._C._nn.linear(
+            x_165,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_165 = l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_11 = torch.nn.functional.silu(x_gate_11, inplace=False)
+        x_gate_11 = None
+        x_167 = silu_11 * x_166
+        silu_11 = x_166 = None
+        x_168 = torch.nn.functional.dropout(x_167, 0.0, False, False)
+        x_167 = None
+        x_169 = torch.nn.functional.layer_norm(
+            x_168,
+            (2048,),
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_168 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_170 = torch._C._nn.linear(
+            x_169,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_169 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_171 = torch.nn.functional.dropout(x_170, 0.0, False, False)
+        x_170 = None
+        x_172 = x_164 + x_171
+        x_164 = x_171 = None
+        x_173 = x_172[
+            (slice(None, None, None), slice(l_self_num_prefix_tokens, None, None))
+        ]
+        x_172 = l_self_num_prefix_tokens = None
+        x_174 = x_173.mean(dim=1)
+        x_173 = None
+        x_175 = torch.nn.functional.layer_norm(
+            x_174,
+            (768,),
+            l_self_modules_fc_norm_parameters_weight_,
+            l_self_modules_fc_norm_parameters_bias_,
+            1e-06,
+        )
+        x_174 = (
+            l_self_modules_fc_norm_parameters_weight_
+        ) = l_self_modules_fc_norm_parameters_bias_ = None
+        x_176 = torch.nn.functional.dropout(x_175, 0.0, False, False)
+        x_175 = None
+        return (x_176,)
diff --git a/samples/timm/eva02_base_patch14_224.mim_in22k/weight_meta.py b/samples/timm/eva02_base_patch14_224.mim_in22k/weight_meta.py
new file mode 100644
index 000000000..7c196002b
--- /dev/null
+++ b/samples/timm/eva02_base_patch14_224.mim_in22k/weight_meta.py
@@ -0,0 +1,2552 @@
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.225
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [768, 3, 14, 14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_pos_embed_:
+    name = "L_self_parameters_pos_embed_"
+    shape = [1, 257, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_rope_buffers_pos_embed_:
+    name = "L_self_modules_rope_buffers_pos_embed_"
+    shape = [256, 128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.448
+    std = 0.547
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_cls_token_:
+    name = "L_self_parameters_cls_token_"
+    shape = [1, 1, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_num_prefix_tokens:
+    name = "L_self_num_prefix_tokens"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_norm_parameters_weight_:
+    name = "L_self_modules_fc_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_norm_parameters_bias_:
+    name = "L_self_modules_fc_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/eva02_base_patch16_clip_224.merged2b/graph_hash.txt b/samples/timm/eva02_base_patch16_clip_224.merged2b/graph_hash.txt
new file mode 100644
index 000000000..843a0820c
--- /dev/null
+++ b/samples/timm/eva02_base_patch16_clip_224.merged2b/graph_hash.txt
@@ -0,0 +1 @@
+3d5e8aa02bbe6ea9a1b627be1e8d67ef87ab8efca7b0d7296de3a919bd77ed74
\ No newline at end of file
diff --git a/samples/timm/eva02_base_patch16_clip_224.merged2b/graph_net.json b/samples/timm/eva02_base_patch16_clip_224.merged2b/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/eva02_base_patch16_clip_224.merged2b/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/eva02_base_patch16_clip_224.merged2b/input_meta.py b/samples/timm/eva02_base_patch16_clip_224.merged2b/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_base_patch16_clip_224.merged2b/input_tensor_constraints.py b/samples/timm/eva02_base_patch16_clip_224.merged2b/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_base_patch16_clip_224.merged2b/model.py b/samples/timm/eva02_base_patch16_clip_224.merged2b/model.py
new file mode 100644
index 000000000..070a46964
--- /dev/null
+++ b/samples/timm/eva02_base_patch16_clip_224.merged2b/model.py
@@ -0,0 +1,3611 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_parameters_pos_embed_: torch.nn.parameter.Parameter,
+        L_self_modules_rope_buffers_pos_embed_: torch.Tensor,
+        L_self_parameters_cls_token_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_proj_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_bias_
+        )
+        l_self_parameters_pos_embed_ = L_self_parameters_pos_embed_
+        l_self_modules_rope_buffers_pos_embed_ = L_self_modules_rope_buffers_pos_embed_
+        l_self_parameters_cls_token_ = L_self_parameters_cls_token_
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_parameters_weight_ = L_self_modules_head_parameters_weight_
+        l_self_modules_head_parameters_bias_ = L_self_modules_head_parameters_bias_
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            l_self_modules_patch_embed_modules_proj_parameters_bias_,
+            (16, 16),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_patch_embed_modules_proj_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_proj_parameters_bias_ = None
+        flatten = x.flatten(2)
+        x = None
+        x_1 = flatten.transpose(1, 2)
+        flatten = None
+        expand = l_self_parameters_cls_token_.expand(1, -1, -1)
+        l_self_parameters_cls_token_ = None
+        x_2 = torch.cat([expand, x_1], dim=1)
+        expand = x_1 = None
+        x_3 = x_2 + l_self_parameters_pos_embed_
+        x_2 = l_self_parameters_pos_embed_ = None
+        x_4 = torch.nn.functional.dropout(x_3, 0.0, False, False)
+        x_3 = None
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (768,),
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        ) = None
+        linear = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape = linear.reshape(1, 197, 12, -1)
+        linear = None
+        q = reshape.transpose(1, 2)
+        reshape = None
+        linear_1 = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_1 = linear_1.reshape(1, 197, 12, -1)
+        linear_1 = None
+        k = reshape_1.transpose(1, 2)
+        reshape_1 = None
+        linear_2 = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_5 = l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_2 = linear_2.reshape(1, 197, 12, -1)
+        linear_2 = None
+        v = reshape_2.transpose(1, 2)
+        reshape_2 = None
+        getitem_4 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_5 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q = None
+        tensor_split = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb = tensor_split[0]
+        cos_emb = tensor_split[1]
+        tensor_split = None
+        mul = getitem_5 * cos_emb
+        cos_emb = None
+        getitem_8 = getitem_5[(Ellipsis, slice(1, None, 2))]
+        neg = -getitem_8
+        getitem_8 = None
+        getitem_9 = getitem_5[(Ellipsis, slice(None, None, 2))]
+        getitem_5 = None
+        stack = torch.stack([neg, getitem_9], -1)
+        neg = getitem_9 = None
+        reshape_3 = stack.reshape((1, 12, 196, 64))
+        stack = None
+        mul_1 = reshape_3 * sin_emb
+        reshape_3 = sin_emb = None
+        add_1 = mul + mul_1
+        mul = mul_1 = None
+        cat_1 = torch.cat([getitem_4, add_1], dim=2)
+        getitem_4 = add_1 = None
+        q_1 = cat_1.type_as(v)
+        cat_1 = None
+        getitem_10 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_11 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k = None
+        tensor_split_1 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_1 = tensor_split_1[0]
+        cos_emb_1 = tensor_split_1[1]
+        tensor_split_1 = None
+        mul_2 = getitem_11 * cos_emb_1
+        cos_emb_1 = None
+        getitem_14 = getitem_11[(Ellipsis, slice(1, None, 2))]
+        neg_1 = -getitem_14
+        getitem_14 = None
+        getitem_15 = getitem_11[(Ellipsis, slice(None, None, 2))]
+        getitem_11 = None
+        stack_1 = torch.stack([neg_1, getitem_15], -1)
+        neg_1 = getitem_15 = None
+        reshape_4 = stack_1.reshape((1, 12, 196, 64))
+        stack_1 = None
+        mul_3 = reshape_4 * sin_emb_1
+        reshape_4 = sin_emb_1 = None
+        add_2 = mul_2 + mul_3
+        mul_2 = mul_3 = None
+        cat_2 = torch.cat([getitem_10, add_2], dim=2)
+        getitem_10 = add_2 = None
+        k_1 = cat_2.type_as(v)
+        cat_2 = None
+        x_6 = torch._C._nn.scaled_dot_product_attention(
+            q_1, k_1, v, attn_mask=None, dropout_p=0.0
+        )
+        q_1 = k_1 = v = None
+        transpose_4 = x_6.transpose(1, 2)
+        x_6 = None
+        x_7 = transpose_4.reshape(1, 197, 768)
+        transpose_4 = None
+        x_8 = torch.nn.functional.layer_norm(
+            x_7,
+            (768,),
+            l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_9 = torch._C._nn.linear(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.dropout(x_9, 0.0, False, False)
+        x_9 = None
+        x_11 = x_4 + x_10
+        x_4 = x_10 = None
+        x_12 = torch.nn.functional.layer_norm(
+            x_11,
+            (768,),
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        ) = None
+        x_gate = torch._C._nn.linear(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_13 = torch._C._nn.linear(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu = torch.nn.functional.silu(x_gate, inplace=False)
+        x_gate = None
+        x_14 = silu * x_13
+        silu = x_13 = None
+        x_15 = torch.nn.functional.dropout(x_14, 0.0, False, False)
+        x_14 = None
+        x_16 = torch.nn.functional.layer_norm(
+            x_15,
+            (2048,),
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_17 = torch._C._nn.linear(
+            x_16,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.dropout(x_17, 0.0, False, False)
+        x_17 = None
+        x_19 = x_11 + x_18
+        x_11 = x_18 = None
+        x_20 = torch.nn.functional.layer_norm(
+            x_19,
+            (768,),
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        ) = None
+        linear_7 = torch._C._nn.linear(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_6 = linear_7.reshape(1, 197, 12, -1)
+        linear_7 = None
+        q_2 = reshape_6.transpose(1, 2)
+        reshape_6 = None
+        linear_8 = torch._C._nn.linear(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_7 = linear_8.reshape(1, 197, 12, -1)
+        linear_8 = None
+        k_2 = reshape_7.transpose(1, 2)
+        reshape_7 = None
+        linear_9 = torch._C._nn.linear(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_20 = l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_8 = linear_9.reshape(1, 197, 12, -1)
+        linear_9 = None
+        v_1 = reshape_8.transpose(1, 2)
+        reshape_8 = None
+        getitem_16 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_17 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_2 = None
+        tensor_split_2 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_2 = tensor_split_2[0]
+        cos_emb_2 = tensor_split_2[1]
+        tensor_split_2 = None
+        mul_5 = getitem_17 * cos_emb_2
+        cos_emb_2 = None
+        getitem_20 = getitem_17[(Ellipsis, slice(1, None, 2))]
+        neg_2 = -getitem_20
+        getitem_20 = None
+        getitem_21 = getitem_17[(Ellipsis, slice(None, None, 2))]
+        getitem_17 = None
+        stack_2 = torch.stack([neg_2, getitem_21], -1)
+        neg_2 = getitem_21 = None
+        reshape_9 = stack_2.reshape((1, 12, 196, 64))
+        stack_2 = None
+        mul_6 = reshape_9 * sin_emb_2
+        reshape_9 = sin_emb_2 = None
+        add_5 = mul_5 + mul_6
+        mul_5 = mul_6 = None
+        cat_3 = torch.cat([getitem_16, add_5], dim=2)
+        getitem_16 = add_5 = None
+        q_3 = cat_3.type_as(v_1)
+        cat_3 = None
+        getitem_22 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_23 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_2 = None
+        tensor_split_3 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_3 = tensor_split_3[0]
+        cos_emb_3 = tensor_split_3[1]
+        tensor_split_3 = None
+        mul_7 = getitem_23 * cos_emb_3
+        cos_emb_3 = None
+        getitem_26 = getitem_23[(Ellipsis, slice(1, None, 2))]
+        neg_3 = -getitem_26
+        getitem_26 = None
+        getitem_27 = getitem_23[(Ellipsis, slice(None, None, 2))]
+        getitem_23 = None
+        stack_3 = torch.stack([neg_3, getitem_27], -1)
+        neg_3 = getitem_27 = None
+        reshape_10 = stack_3.reshape((1, 12, 196, 64))
+        stack_3 = None
+        mul_8 = reshape_10 * sin_emb_3
+        reshape_10 = sin_emb_3 = None
+        add_6 = mul_7 + mul_8
+        mul_7 = mul_8 = None
+        cat_4 = torch.cat([getitem_22, add_6], dim=2)
+        getitem_22 = add_6 = None
+        k_3 = cat_4.type_as(v_1)
+        cat_4 = None
+        x_21 = torch._C._nn.scaled_dot_product_attention(
+            q_3, k_3, v_1, attn_mask=None, dropout_p=0.0
+        )
+        q_3 = k_3 = v_1 = None
+        transpose_8 = x_21.transpose(1, 2)
+        x_21 = None
+        x_22 = transpose_8.reshape(1, 197, 768)
+        transpose_8 = None
+        x_23 = torch.nn.functional.layer_norm(
+            x_22,
+            (768,),
+            l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_22 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_24 = torch._C._nn.linear(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_25 = torch.nn.functional.dropout(x_24, 0.0, False, False)
+        x_24 = None
+        x_26 = x_19 + x_25
+        x_19 = x_25 = None
+        x_27 = torch.nn.functional.layer_norm(
+            x_26,
+            (768,),
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_1 = torch._C._nn.linear(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_28 = torch._C._nn.linear(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_1 = torch.nn.functional.silu(x_gate_1, inplace=False)
+        x_gate_1 = None
+        x_29 = silu_1 * x_28
+        silu_1 = x_28 = None
+        x_30 = torch.nn.functional.dropout(x_29, 0.0, False, False)
+        x_29 = None
+        x_31 = torch.nn.functional.layer_norm(
+            x_30,
+            (2048,),
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_30 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_32 = torch._C._nn.linear(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_33 = torch.nn.functional.dropout(x_32, 0.0, False, False)
+        x_32 = None
+        x_34 = x_26 + x_33
+        x_26 = x_33 = None
+        x_35 = torch.nn.functional.layer_norm(
+            x_34,
+            (768,),
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        ) = None
+        linear_14 = torch._C._nn.linear(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_12 = linear_14.reshape(1, 197, 12, -1)
+        linear_14 = None
+        q_4 = reshape_12.transpose(1, 2)
+        reshape_12 = None
+        linear_15 = torch._C._nn.linear(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_13 = linear_15.reshape(1, 197, 12, -1)
+        linear_15 = None
+        k_4 = reshape_13.transpose(1, 2)
+        reshape_13 = None
+        linear_16 = torch._C._nn.linear(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_35 = l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_14 = linear_16.reshape(1, 197, 12, -1)
+        linear_16 = None
+        v_2 = reshape_14.transpose(1, 2)
+        reshape_14 = None
+        getitem_28 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_29 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_4 = None
+        tensor_split_4 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_4 = tensor_split_4[0]
+        cos_emb_4 = tensor_split_4[1]
+        tensor_split_4 = None
+        mul_10 = getitem_29 * cos_emb_4
+        cos_emb_4 = None
+        getitem_32 = getitem_29[(Ellipsis, slice(1, None, 2))]
+        neg_4 = -getitem_32
+        getitem_32 = None
+        getitem_33 = getitem_29[(Ellipsis, slice(None, None, 2))]
+        getitem_29 = None
+        stack_4 = torch.stack([neg_4, getitem_33], -1)
+        neg_4 = getitem_33 = None
+        reshape_15 = stack_4.reshape((1, 12, 196, 64))
+        stack_4 = None
+        mul_11 = reshape_15 * sin_emb_4
+        reshape_15 = sin_emb_4 = None
+        add_9 = mul_10 + mul_11
+        mul_10 = mul_11 = None
+        cat_5 = torch.cat([getitem_28, add_9], dim=2)
+        getitem_28 = add_9 = None
+        q_5 = cat_5.type_as(v_2)
+        cat_5 = None
+        getitem_34 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_35 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_4 = None
+        tensor_split_5 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_5 = tensor_split_5[0]
+        cos_emb_5 = tensor_split_5[1]
+        tensor_split_5 = None
+        mul_12 = getitem_35 * cos_emb_5
+        cos_emb_5 = None
+        getitem_38 = getitem_35[(Ellipsis, slice(1, None, 2))]
+        neg_5 = -getitem_38
+        getitem_38 = None
+        getitem_39 = getitem_35[(Ellipsis, slice(None, None, 2))]
+        getitem_35 = None
+        stack_5 = torch.stack([neg_5, getitem_39], -1)
+        neg_5 = getitem_39 = None
+        reshape_16 = stack_5.reshape((1, 12, 196, 64))
+        stack_5 = None
+        mul_13 = reshape_16 * sin_emb_5
+        reshape_16 = sin_emb_5 = None
+        add_10 = mul_12 + mul_13
+        mul_12 = mul_13 = None
+        cat_6 = torch.cat([getitem_34, add_10], dim=2)
+        getitem_34 = add_10 = None
+        k_5 = cat_6.type_as(v_2)
+        cat_6 = None
+        x_36 = torch._C._nn.scaled_dot_product_attention(
+            q_5, k_5, v_2, attn_mask=None, dropout_p=0.0
+        )
+        q_5 = k_5 = v_2 = None
+        transpose_12 = x_36.transpose(1, 2)
+        x_36 = None
+        x_37 = transpose_12.reshape(1, 197, 768)
+        transpose_12 = None
+        x_38 = torch.nn.functional.layer_norm(
+            x_37,
+            (768,),
+            l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_39 = torch._C._nn.linear(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_40 = torch.nn.functional.dropout(x_39, 0.0, False, False)
+        x_39 = None
+        x_41 = x_34 + x_40
+        x_34 = x_40 = None
+        x_42 = torch.nn.functional.layer_norm(
+            x_41,
+            (768,),
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_2 = torch._C._nn.linear(
+            x_42,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_43 = torch._C._nn.linear(
+            x_42,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_2 = torch.nn.functional.silu(x_gate_2, inplace=False)
+        x_gate_2 = None
+        x_44 = silu_2 * x_43
+        silu_2 = x_43 = None
+        x_45 = torch.nn.functional.dropout(x_44, 0.0, False, False)
+        x_44 = None
+        x_46 = torch.nn.functional.layer_norm(
+            x_45,
+            (2048,),
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_47 = torch._C._nn.linear(
+            x_46,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_41 + x_48
+        x_41 = x_48 = None
+        x_50 = torch.nn.functional.layer_norm(
+            x_49,
+            (768,),
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        ) = None
+        linear_21 = torch._C._nn.linear(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_18 = linear_21.reshape(1, 197, 12, -1)
+        linear_21 = None
+        q_6 = reshape_18.transpose(1, 2)
+        reshape_18 = None
+        linear_22 = torch._C._nn.linear(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_19 = linear_22.reshape(1, 197, 12, -1)
+        linear_22 = None
+        k_6 = reshape_19.transpose(1, 2)
+        reshape_19 = None
+        linear_23 = torch._C._nn.linear(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_50 = l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_20 = linear_23.reshape(1, 197, 12, -1)
+        linear_23 = None
+        v_3 = reshape_20.transpose(1, 2)
+        reshape_20 = None
+        getitem_40 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_41 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_6 = None
+        tensor_split_6 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_6 = tensor_split_6[0]
+        cos_emb_6 = tensor_split_6[1]
+        tensor_split_6 = None
+        mul_15 = getitem_41 * cos_emb_6
+        cos_emb_6 = None
+        getitem_44 = getitem_41[(Ellipsis, slice(1, None, 2))]
+        neg_6 = -getitem_44
+        getitem_44 = None
+        getitem_45 = getitem_41[(Ellipsis, slice(None, None, 2))]
+        getitem_41 = None
+        stack_6 = torch.stack([neg_6, getitem_45], -1)
+        neg_6 = getitem_45 = None
+        reshape_21 = stack_6.reshape((1, 12, 196, 64))
+        stack_6 = None
+        mul_16 = reshape_21 * sin_emb_6
+        reshape_21 = sin_emb_6 = None
+        add_13 = mul_15 + mul_16
+        mul_15 = mul_16 = None
+        cat_7 = torch.cat([getitem_40, add_13], dim=2)
+        getitem_40 = add_13 = None
+        q_7 = cat_7.type_as(v_3)
+        cat_7 = None
+        getitem_46 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_47 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_6 = None
+        tensor_split_7 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_7 = tensor_split_7[0]
+        cos_emb_7 = tensor_split_7[1]
+        tensor_split_7 = None
+        mul_17 = getitem_47 * cos_emb_7
+        cos_emb_7 = None
+        getitem_50 = getitem_47[(Ellipsis, slice(1, None, 2))]
+        neg_7 = -getitem_50
+        getitem_50 = None
+        getitem_51 = getitem_47[(Ellipsis, slice(None, None, 2))]
+        getitem_47 = None
+        stack_7 = torch.stack([neg_7, getitem_51], -1)
+        neg_7 = getitem_51 = None
+        reshape_22 = stack_7.reshape((1, 12, 196, 64))
+        stack_7 = None
+        mul_18 = reshape_22 * sin_emb_7
+        reshape_22 = sin_emb_7 = None
+        add_14 = mul_17 + mul_18
+        mul_17 = mul_18 = None
+        cat_8 = torch.cat([getitem_46, add_14], dim=2)
+        getitem_46 = add_14 = None
+        k_7 = cat_8.type_as(v_3)
+        cat_8 = None
+        x_51 = torch._C._nn.scaled_dot_product_attention(
+            q_7, k_7, v_3, attn_mask=None, dropout_p=0.0
+        )
+        q_7 = k_7 = v_3 = None
+        transpose_16 = x_51.transpose(1, 2)
+        x_51 = None
+        x_52 = transpose_16.reshape(1, 197, 768)
+        transpose_16 = None
+        x_53 = torch.nn.functional.layer_norm(
+            x_52,
+            (768,),
+            l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_54 = torch._C._nn.linear(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.dropout(x_54, 0.0, False, False)
+        x_54 = None
+        x_56 = x_49 + x_55
+        x_49 = x_55 = None
+        x_57 = torch.nn.functional.layer_norm(
+            x_56,
+            (768,),
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_3 = torch._C._nn.linear(
+            x_57,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_58 = torch._C._nn.linear(
+            x_57,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_3 = torch.nn.functional.silu(x_gate_3, inplace=False)
+        x_gate_3 = None
+        x_59 = silu_3 * x_58
+        silu_3 = x_58 = None
+        x_60 = torch.nn.functional.dropout(x_59, 0.0, False, False)
+        x_59 = None
+        x_61 = torch.nn.functional.layer_norm(
+            x_60,
+            (2048,),
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_60 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_62 = torch._C._nn.linear(
+            x_61,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_63 = torch.nn.functional.dropout(x_62, 0.0, False, False)
+        x_62 = None
+        x_64 = x_56 + x_63
+        x_56 = x_63 = None
+        x_65 = torch.nn.functional.layer_norm(
+            x_64,
+            (768,),
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        ) = None
+        linear_28 = torch._C._nn.linear(
+            x_65,
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_24 = linear_28.reshape(1, 197, 12, -1)
+        linear_28 = None
+        q_8 = reshape_24.transpose(1, 2)
+        reshape_24 = None
+        linear_29 = torch._C._nn.linear(
+            x_65,
+            l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_25 = linear_29.reshape(1, 197, 12, -1)
+        linear_29 = None
+        k_8 = reshape_25.transpose(1, 2)
+        reshape_25 = None
+        linear_30 = torch._C._nn.linear(
+            x_65,
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_65 = l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_26 = linear_30.reshape(1, 197, 12, -1)
+        linear_30 = None
+        v_4 = reshape_26.transpose(1, 2)
+        reshape_26 = None
+        getitem_52 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_53 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_8 = None
+        tensor_split_8 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_8 = tensor_split_8[0]
+        cos_emb_8 = tensor_split_8[1]
+        tensor_split_8 = None
+        mul_20 = getitem_53 * cos_emb_8
+        cos_emb_8 = None
+        getitem_56 = getitem_53[(Ellipsis, slice(1, None, 2))]
+        neg_8 = -getitem_56
+        getitem_56 = None
+        getitem_57 = getitem_53[(Ellipsis, slice(None, None, 2))]
+        getitem_53 = None
+        stack_8 = torch.stack([neg_8, getitem_57], -1)
+        neg_8 = getitem_57 = None
+        reshape_27 = stack_8.reshape((1, 12, 196, 64))
+        stack_8 = None
+        mul_21 = reshape_27 * sin_emb_8
+        reshape_27 = sin_emb_8 = None
+        add_17 = mul_20 + mul_21
+        mul_20 = mul_21 = None
+        cat_9 = torch.cat([getitem_52, add_17], dim=2)
+        getitem_52 = add_17 = None
+        q_9 = cat_9.type_as(v_4)
+        cat_9 = None
+        getitem_58 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_59 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_8 = None
+        tensor_split_9 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_9 = tensor_split_9[0]
+        cos_emb_9 = tensor_split_9[1]
+        tensor_split_9 = None
+        mul_22 = getitem_59 * cos_emb_9
+        cos_emb_9 = None
+        getitem_62 = getitem_59[(Ellipsis, slice(1, None, 2))]
+        neg_9 = -getitem_62
+        getitem_62 = None
+        getitem_63 = getitem_59[(Ellipsis, slice(None, None, 2))]
+        getitem_59 = None
+        stack_9 = torch.stack([neg_9, getitem_63], -1)
+        neg_9 = getitem_63 = None
+        reshape_28 = stack_9.reshape((1, 12, 196, 64))
+        stack_9 = None
+        mul_23 = reshape_28 * sin_emb_9
+        reshape_28 = sin_emb_9 = None
+        add_18 = mul_22 + mul_23
+        mul_22 = mul_23 = None
+        cat_10 = torch.cat([getitem_58, add_18], dim=2)
+        getitem_58 = add_18 = None
+        k_9 = cat_10.type_as(v_4)
+        cat_10 = None
+        x_66 = torch._C._nn.scaled_dot_product_attention(
+            q_9, k_9, v_4, attn_mask=None, dropout_p=0.0
+        )
+        q_9 = k_9 = v_4 = None
+        transpose_20 = x_66.transpose(1, 2)
+        x_66 = None
+        x_67 = transpose_20.reshape(1, 197, 768)
+        transpose_20 = None
+        x_68 = torch.nn.functional.layer_norm(
+            x_67,
+            (768,),
+            l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_69 = torch._C._nn.linear(
+            x_68,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_68 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_70 = torch.nn.functional.dropout(x_69, 0.0, False, False)
+        x_69 = None
+        x_71 = x_64 + x_70
+        x_64 = x_70 = None
+        x_72 = torch.nn.functional.layer_norm(
+            x_71,
+            (768,),
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_4 = torch._C._nn.linear(
+            x_72,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_73 = torch._C._nn.linear(
+            x_72,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_4 = torch.nn.functional.silu(x_gate_4, inplace=False)
+        x_gate_4 = None
+        x_74 = silu_4 * x_73
+        silu_4 = x_73 = None
+        x_75 = torch.nn.functional.dropout(x_74, 0.0, False, False)
+        x_74 = None
+        x_76 = torch.nn.functional.layer_norm(
+            x_75,
+            (2048,),
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_77 = torch._C._nn.linear(
+            x_76,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_78 = torch.nn.functional.dropout(x_77, 0.0, False, False)
+        x_77 = None
+        x_79 = x_71 + x_78
+        x_71 = x_78 = None
+        x_80 = torch.nn.functional.layer_norm(
+            x_79,
+            (768,),
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        ) = None
+        linear_35 = torch._C._nn.linear(
+            x_80,
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_30 = linear_35.reshape(1, 197, 12, -1)
+        linear_35 = None
+        q_10 = reshape_30.transpose(1, 2)
+        reshape_30 = None
+        linear_36 = torch._C._nn.linear(
+            x_80,
+            l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_31 = linear_36.reshape(1, 197, 12, -1)
+        linear_36 = None
+        k_10 = reshape_31.transpose(1, 2)
+        reshape_31 = None
+        linear_37 = torch._C._nn.linear(
+            x_80,
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_80 = l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_32 = linear_37.reshape(1, 197, 12, -1)
+        linear_37 = None
+        v_5 = reshape_32.transpose(1, 2)
+        reshape_32 = None
+        getitem_64 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_65 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_10 = None
+        tensor_split_10 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_10 = tensor_split_10[0]
+        cos_emb_10 = tensor_split_10[1]
+        tensor_split_10 = None
+        mul_25 = getitem_65 * cos_emb_10
+        cos_emb_10 = None
+        getitem_68 = getitem_65[(Ellipsis, slice(1, None, 2))]
+        neg_10 = -getitem_68
+        getitem_68 = None
+        getitem_69 = getitem_65[(Ellipsis, slice(None, None, 2))]
+        getitem_65 = None
+        stack_10 = torch.stack([neg_10, getitem_69], -1)
+        neg_10 = getitem_69 = None
+        reshape_33 = stack_10.reshape((1, 12, 196, 64))
+        stack_10 = None
+        mul_26 = reshape_33 * sin_emb_10
+        reshape_33 = sin_emb_10 = None
+        add_21 = mul_25 + mul_26
+        mul_25 = mul_26 = None
+        cat_11 = torch.cat([getitem_64, add_21], dim=2)
+        getitem_64 = add_21 = None
+        q_11 = cat_11.type_as(v_5)
+        cat_11 = None
+        getitem_70 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_71 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_10 = None
+        tensor_split_11 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_11 = tensor_split_11[0]
+        cos_emb_11 = tensor_split_11[1]
+        tensor_split_11 = None
+        mul_27 = getitem_71 * cos_emb_11
+        cos_emb_11 = None
+        getitem_74 = getitem_71[(Ellipsis, slice(1, None, 2))]
+        neg_11 = -getitem_74
+        getitem_74 = None
+        getitem_75 = getitem_71[(Ellipsis, slice(None, None, 2))]
+        getitem_71 = None
+        stack_11 = torch.stack([neg_11, getitem_75], -1)
+        neg_11 = getitem_75 = None
+        reshape_34 = stack_11.reshape((1, 12, 196, 64))
+        stack_11 = None
+        mul_28 = reshape_34 * sin_emb_11
+        reshape_34 = sin_emb_11 = None
+        add_22 = mul_27 + mul_28
+        mul_27 = mul_28 = None
+        cat_12 = torch.cat([getitem_70, add_22], dim=2)
+        getitem_70 = add_22 = None
+        k_11 = cat_12.type_as(v_5)
+        cat_12 = None
+        x_81 = torch._C._nn.scaled_dot_product_attention(
+            q_11, k_11, v_5, attn_mask=None, dropout_p=0.0
+        )
+        q_11 = k_11 = v_5 = None
+        transpose_24 = x_81.transpose(1, 2)
+        x_81 = None
+        x_82 = transpose_24.reshape(1, 197, 768)
+        transpose_24 = None
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (768,),
+            l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_84 = torch._C._nn.linear(
+            x_83,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_85 = torch.nn.functional.dropout(x_84, 0.0, False, False)
+        x_84 = None
+        x_86 = x_79 + x_85
+        x_79 = x_85 = None
+        x_87 = torch.nn.functional.layer_norm(
+            x_86,
+            (768,),
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_5 = torch._C._nn.linear(
+            x_87,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_88 = torch._C._nn.linear(
+            x_87,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_5 = torch.nn.functional.silu(x_gate_5, inplace=False)
+        x_gate_5 = None
+        x_89 = silu_5 * x_88
+        silu_5 = x_88 = None
+        x_90 = torch.nn.functional.dropout(x_89, 0.0, False, False)
+        x_89 = None
+        x_91 = torch.nn.functional.layer_norm(
+            x_90,
+            (2048,),
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_90 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_92 = torch._C._nn.linear(
+            x_91,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_93 = torch.nn.functional.dropout(x_92, 0.0, False, False)
+        x_92 = None
+        x_94 = x_86 + x_93
+        x_86 = x_93 = None
+        x_95 = torch.nn.functional.layer_norm(
+            x_94,
+            (768,),
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        ) = None
+        linear_42 = torch._C._nn.linear(
+            x_95,
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_36 = linear_42.reshape(1, 197, 12, -1)
+        linear_42 = None
+        q_12 = reshape_36.transpose(1, 2)
+        reshape_36 = None
+        linear_43 = torch._C._nn.linear(
+            x_95,
+            l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_37 = linear_43.reshape(1, 197, 12, -1)
+        linear_43 = None
+        k_12 = reshape_37.transpose(1, 2)
+        reshape_37 = None
+        linear_44 = torch._C._nn.linear(
+            x_95,
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_95 = l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_38 = linear_44.reshape(1, 197, 12, -1)
+        linear_44 = None
+        v_6 = reshape_38.transpose(1, 2)
+        reshape_38 = None
+        getitem_76 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_77 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_12 = None
+        tensor_split_12 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_12 = tensor_split_12[0]
+        cos_emb_12 = tensor_split_12[1]
+        tensor_split_12 = None
+        mul_30 = getitem_77 * cos_emb_12
+        cos_emb_12 = None
+        getitem_80 = getitem_77[(Ellipsis, slice(1, None, 2))]
+        neg_12 = -getitem_80
+        getitem_80 = None
+        getitem_81 = getitem_77[(Ellipsis, slice(None, None, 2))]
+        getitem_77 = None
+        stack_12 = torch.stack([neg_12, getitem_81], -1)
+        neg_12 = getitem_81 = None
+        reshape_39 = stack_12.reshape((1, 12, 196, 64))
+        stack_12 = None
+        mul_31 = reshape_39 * sin_emb_12
+        reshape_39 = sin_emb_12 = None
+        add_25 = mul_30 + mul_31
+        mul_30 = mul_31 = None
+        cat_13 = torch.cat([getitem_76, add_25], dim=2)
+        getitem_76 = add_25 = None
+        q_13 = cat_13.type_as(v_6)
+        cat_13 = None
+        getitem_82 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_83 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_12 = None
+        tensor_split_13 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_13 = tensor_split_13[0]
+        cos_emb_13 = tensor_split_13[1]
+        tensor_split_13 = None
+        mul_32 = getitem_83 * cos_emb_13
+        cos_emb_13 = None
+        getitem_86 = getitem_83[(Ellipsis, slice(1, None, 2))]
+        neg_13 = -getitem_86
+        getitem_86 = None
+        getitem_87 = getitem_83[(Ellipsis, slice(None, None, 2))]
+        getitem_83 = None
+        stack_13 = torch.stack([neg_13, getitem_87], -1)
+        neg_13 = getitem_87 = None
+        reshape_40 = stack_13.reshape((1, 12, 196, 64))
+        stack_13 = None
+        mul_33 = reshape_40 * sin_emb_13
+        reshape_40 = sin_emb_13 = None
+        add_26 = mul_32 + mul_33
+        mul_32 = mul_33 = None
+        cat_14 = torch.cat([getitem_82, add_26], dim=2)
+        getitem_82 = add_26 = None
+        k_13 = cat_14.type_as(v_6)
+        cat_14 = None
+        x_96 = torch._C._nn.scaled_dot_product_attention(
+            q_13, k_13, v_6, attn_mask=None, dropout_p=0.0
+        )
+        q_13 = k_13 = v_6 = None
+        transpose_28 = x_96.transpose(1, 2)
+        x_96 = None
+        x_97 = transpose_28.reshape(1, 197, 768)
+        transpose_28 = None
+        x_98 = torch.nn.functional.layer_norm(
+            x_97,
+            (768,),
+            l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_99 = torch._C._nn.linear(
+            x_98,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_100 = torch.nn.functional.dropout(x_99, 0.0, False, False)
+        x_99 = None
+        x_101 = x_94 + x_100
+        x_94 = x_100 = None
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (768,),
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_6 = torch._C._nn.linear(
+            x_102,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_103 = torch._C._nn.linear(
+            x_102,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_6 = torch.nn.functional.silu(x_gate_6, inplace=False)
+        x_gate_6 = None
+        x_104 = silu_6 * x_103
+        silu_6 = x_103 = None
+        x_105 = torch.nn.functional.dropout(x_104, 0.0, False, False)
+        x_104 = None
+        x_106 = torch.nn.functional.layer_norm(
+            x_105,
+            (2048,),
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_107 = torch._C._nn.linear(
+            x_106,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.dropout(x_107, 0.0, False, False)
+        x_107 = None
+        x_109 = x_101 + x_108
+        x_101 = x_108 = None
+        x_110 = torch.nn.functional.layer_norm(
+            x_109,
+            (768,),
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        ) = None
+        linear_49 = torch._C._nn.linear(
+            x_110,
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_42 = linear_49.reshape(1, 197, 12, -1)
+        linear_49 = None
+        q_14 = reshape_42.transpose(1, 2)
+        reshape_42 = None
+        linear_50 = torch._C._nn.linear(
+            x_110,
+            l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_43 = linear_50.reshape(1, 197, 12, -1)
+        linear_50 = None
+        k_14 = reshape_43.transpose(1, 2)
+        reshape_43 = None
+        linear_51 = torch._C._nn.linear(
+            x_110,
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_110 = l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_44 = linear_51.reshape(1, 197, 12, -1)
+        linear_51 = None
+        v_7 = reshape_44.transpose(1, 2)
+        reshape_44 = None
+        getitem_88 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_89 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_14 = None
+        tensor_split_14 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_14 = tensor_split_14[0]
+        cos_emb_14 = tensor_split_14[1]
+        tensor_split_14 = None
+        mul_35 = getitem_89 * cos_emb_14
+        cos_emb_14 = None
+        getitem_92 = getitem_89[(Ellipsis, slice(1, None, 2))]
+        neg_14 = -getitem_92
+        getitem_92 = None
+        getitem_93 = getitem_89[(Ellipsis, slice(None, None, 2))]
+        getitem_89 = None
+        stack_14 = torch.stack([neg_14, getitem_93], -1)
+        neg_14 = getitem_93 = None
+        reshape_45 = stack_14.reshape((1, 12, 196, 64))
+        stack_14 = None
+        mul_36 = reshape_45 * sin_emb_14
+        reshape_45 = sin_emb_14 = None
+        add_29 = mul_35 + mul_36
+        mul_35 = mul_36 = None
+        cat_15 = torch.cat([getitem_88, add_29], dim=2)
+        getitem_88 = add_29 = None
+        q_15 = cat_15.type_as(v_7)
+        cat_15 = None
+        getitem_94 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_95 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_14 = None
+        tensor_split_15 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_15 = tensor_split_15[0]
+        cos_emb_15 = tensor_split_15[1]
+        tensor_split_15 = None
+        mul_37 = getitem_95 * cos_emb_15
+        cos_emb_15 = None
+        getitem_98 = getitem_95[(Ellipsis, slice(1, None, 2))]
+        neg_15 = -getitem_98
+        getitem_98 = None
+        getitem_99 = getitem_95[(Ellipsis, slice(None, None, 2))]
+        getitem_95 = None
+        stack_15 = torch.stack([neg_15, getitem_99], -1)
+        neg_15 = getitem_99 = None
+        reshape_46 = stack_15.reshape((1, 12, 196, 64))
+        stack_15 = None
+        mul_38 = reshape_46 * sin_emb_15
+        reshape_46 = sin_emb_15 = None
+        add_30 = mul_37 + mul_38
+        mul_37 = mul_38 = None
+        cat_16 = torch.cat([getitem_94, add_30], dim=2)
+        getitem_94 = add_30 = None
+        k_15 = cat_16.type_as(v_7)
+        cat_16 = None
+        x_111 = torch._C._nn.scaled_dot_product_attention(
+            q_15, k_15, v_7, attn_mask=None, dropout_p=0.0
+        )
+        q_15 = k_15 = v_7 = None
+        transpose_32 = x_111.transpose(1, 2)
+        x_111 = None
+        x_112 = transpose_32.reshape(1, 197, 768)
+        transpose_32 = None
+        x_113 = torch.nn.functional.layer_norm(
+            x_112,
+            (768,),
+            l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_114 = torch._C._nn.linear(
+            x_113,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_115 = torch.nn.functional.dropout(x_114, 0.0, False, False)
+        x_114 = None
+        x_116 = x_109 + x_115
+        x_109 = x_115 = None
+        x_117 = torch.nn.functional.layer_norm(
+            x_116,
+            (768,),
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_7 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_118 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_117 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_7 = torch.nn.functional.silu(x_gate_7, inplace=False)
+        x_gate_7 = None
+        x_119 = silu_7 * x_118
+        silu_7 = x_118 = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = torch.nn.functional.layer_norm(
+            x_120,
+            (2048,),
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_122 = torch._C._nn.linear(
+            x_121,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_123 = torch.nn.functional.dropout(x_122, 0.0, False, False)
+        x_122 = None
+        x_124 = x_116 + x_123
+        x_116 = x_123 = None
+        x_125 = torch.nn.functional.layer_norm(
+            x_124,
+            (768,),
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        ) = None
+        linear_56 = torch._C._nn.linear(
+            x_125,
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_48 = linear_56.reshape(1, 197, 12, -1)
+        linear_56 = None
+        q_16 = reshape_48.transpose(1, 2)
+        reshape_48 = None
+        linear_57 = torch._C._nn.linear(
+            x_125,
+            l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_49 = linear_57.reshape(1, 197, 12, -1)
+        linear_57 = None
+        k_16 = reshape_49.transpose(1, 2)
+        reshape_49 = None
+        linear_58 = torch._C._nn.linear(
+            x_125,
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_125 = l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_50 = linear_58.reshape(1, 197, 12, -1)
+        linear_58 = None
+        v_8 = reshape_50.transpose(1, 2)
+        reshape_50 = None
+        getitem_100 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_101 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_16 = None
+        tensor_split_16 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_16 = tensor_split_16[0]
+        cos_emb_16 = tensor_split_16[1]
+        tensor_split_16 = None
+        mul_40 = getitem_101 * cos_emb_16
+        cos_emb_16 = None
+        getitem_104 = getitem_101[(Ellipsis, slice(1, None, 2))]
+        neg_16 = -getitem_104
+        getitem_104 = None
+        getitem_105 = getitem_101[(Ellipsis, slice(None, None, 2))]
+        getitem_101 = None
+        stack_16 = torch.stack([neg_16, getitem_105], -1)
+        neg_16 = getitem_105 = None
+        reshape_51 = stack_16.reshape((1, 12, 196, 64))
+        stack_16 = None
+        mul_41 = reshape_51 * sin_emb_16
+        reshape_51 = sin_emb_16 = None
+        add_33 = mul_40 + mul_41
+        mul_40 = mul_41 = None
+        cat_17 = torch.cat([getitem_100, add_33], dim=2)
+        getitem_100 = add_33 = None
+        q_17 = cat_17.type_as(v_8)
+        cat_17 = None
+        getitem_106 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_107 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_16 = None
+        tensor_split_17 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_17 = tensor_split_17[0]
+        cos_emb_17 = tensor_split_17[1]
+        tensor_split_17 = None
+        mul_42 = getitem_107 * cos_emb_17
+        cos_emb_17 = None
+        getitem_110 = getitem_107[(Ellipsis, slice(1, None, 2))]
+        neg_17 = -getitem_110
+        getitem_110 = None
+        getitem_111 = getitem_107[(Ellipsis, slice(None, None, 2))]
+        getitem_107 = None
+        stack_17 = torch.stack([neg_17, getitem_111], -1)
+        neg_17 = getitem_111 = None
+        reshape_52 = stack_17.reshape((1, 12, 196, 64))
+        stack_17 = None
+        mul_43 = reshape_52 * sin_emb_17
+        reshape_52 = sin_emb_17 = None
+        add_34 = mul_42 + mul_43
+        mul_42 = mul_43 = None
+        cat_18 = torch.cat([getitem_106, add_34], dim=2)
+        getitem_106 = add_34 = None
+        k_17 = cat_18.type_as(v_8)
+        cat_18 = None
+        x_126 = torch._C._nn.scaled_dot_product_attention(
+            q_17, k_17, v_8, attn_mask=None, dropout_p=0.0
+        )
+        q_17 = k_17 = v_8 = None
+        transpose_36 = x_126.transpose(1, 2)
+        x_126 = None
+        x_127 = transpose_36.reshape(1, 197, 768)
+        transpose_36 = None
+        x_128 = torch.nn.functional.layer_norm(
+            x_127,
+            (768,),
+            l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_129 = torch._C._nn.linear(
+            x_128,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_130 = torch.nn.functional.dropout(x_129, 0.0, False, False)
+        x_129 = None
+        x_131 = x_124 + x_130
+        x_124 = x_130 = None
+        x_132 = torch.nn.functional.layer_norm(
+            x_131,
+            (768,),
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_8 = torch._C._nn.linear(
+            x_132,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_133 = torch._C._nn.linear(
+            x_132,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_8 = torch.nn.functional.silu(x_gate_8, inplace=False)
+        x_gate_8 = None
+        x_134 = silu_8 * x_133
+        silu_8 = x_133 = None
+        x_135 = torch.nn.functional.dropout(x_134, 0.0, False, False)
+        x_134 = None
+        x_136 = torch.nn.functional.layer_norm(
+            x_135,
+            (2048,),
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_137 = torch._C._nn.linear(
+            x_136,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_138 = torch.nn.functional.dropout(x_137, 0.0, False, False)
+        x_137 = None
+        x_139 = x_131 + x_138
+        x_131 = x_138 = None
+        x_140 = torch.nn.functional.layer_norm(
+            x_139,
+            (768,),
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        ) = None
+        linear_63 = torch._C._nn.linear(
+            x_140,
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_54 = linear_63.reshape(1, 197, 12, -1)
+        linear_63 = None
+        q_18 = reshape_54.transpose(1, 2)
+        reshape_54 = None
+        linear_64 = torch._C._nn.linear(
+            x_140,
+            l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_55 = linear_64.reshape(1, 197, 12, -1)
+        linear_64 = None
+        k_18 = reshape_55.transpose(1, 2)
+        reshape_55 = None
+        linear_65 = torch._C._nn.linear(
+            x_140,
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_140 = l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_56 = linear_65.reshape(1, 197, 12, -1)
+        linear_65 = None
+        v_9 = reshape_56.transpose(1, 2)
+        reshape_56 = None
+        getitem_112 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_113 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_18 = None
+        tensor_split_18 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_18 = tensor_split_18[0]
+        cos_emb_18 = tensor_split_18[1]
+        tensor_split_18 = None
+        mul_45 = getitem_113 * cos_emb_18
+        cos_emb_18 = None
+        getitem_116 = getitem_113[(Ellipsis, slice(1, None, 2))]
+        neg_18 = -getitem_116
+        getitem_116 = None
+        getitem_117 = getitem_113[(Ellipsis, slice(None, None, 2))]
+        getitem_113 = None
+        stack_18 = torch.stack([neg_18, getitem_117], -1)
+        neg_18 = getitem_117 = None
+        reshape_57 = stack_18.reshape((1, 12, 196, 64))
+        stack_18 = None
+        mul_46 = reshape_57 * sin_emb_18
+        reshape_57 = sin_emb_18 = None
+        add_37 = mul_45 + mul_46
+        mul_45 = mul_46 = None
+        cat_19 = torch.cat([getitem_112, add_37], dim=2)
+        getitem_112 = add_37 = None
+        q_19 = cat_19.type_as(v_9)
+        cat_19 = None
+        getitem_118 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_119 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_18 = None
+        tensor_split_19 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_19 = tensor_split_19[0]
+        cos_emb_19 = tensor_split_19[1]
+        tensor_split_19 = None
+        mul_47 = getitem_119 * cos_emb_19
+        cos_emb_19 = None
+        getitem_122 = getitem_119[(Ellipsis, slice(1, None, 2))]
+        neg_19 = -getitem_122
+        getitem_122 = None
+        getitem_123 = getitem_119[(Ellipsis, slice(None, None, 2))]
+        getitem_119 = None
+        stack_19 = torch.stack([neg_19, getitem_123], -1)
+        neg_19 = getitem_123 = None
+        reshape_58 = stack_19.reshape((1, 12, 196, 64))
+        stack_19 = None
+        mul_48 = reshape_58 * sin_emb_19
+        reshape_58 = sin_emb_19 = None
+        add_38 = mul_47 + mul_48
+        mul_47 = mul_48 = None
+        cat_20 = torch.cat([getitem_118, add_38], dim=2)
+        getitem_118 = add_38 = None
+        k_19 = cat_20.type_as(v_9)
+        cat_20 = None
+        x_141 = torch._C._nn.scaled_dot_product_attention(
+            q_19, k_19, v_9, attn_mask=None, dropout_p=0.0
+        )
+        q_19 = k_19 = v_9 = None
+        transpose_40 = x_141.transpose(1, 2)
+        x_141 = None
+        x_142 = transpose_40.reshape(1, 197, 768)
+        transpose_40 = None
+        x_143 = torch.nn.functional.layer_norm(
+            x_142,
+            (768,),
+            l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_144 = torch._C._nn.linear(
+            x_143,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.dropout(x_144, 0.0, False, False)
+        x_144 = None
+        x_146 = x_139 + x_145
+        x_139 = x_145 = None
+        x_147 = torch.nn.functional.layer_norm(
+            x_146,
+            (768,),
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_9 = torch._C._nn.linear(
+            x_147,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_148 = torch._C._nn.linear(
+            x_147,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_147 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_9 = torch.nn.functional.silu(x_gate_9, inplace=False)
+        x_gate_9 = None
+        x_149 = silu_9 * x_148
+        silu_9 = x_148 = None
+        x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False)
+        x_149 = None
+        x_151 = torch.nn.functional.layer_norm(
+            x_150,
+            (2048,),
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_152 = torch._C._nn.linear(
+            x_151,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_151 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_153 = torch.nn.functional.dropout(x_152, 0.0, False, False)
+        x_152 = None
+        x_154 = x_146 + x_153
+        x_146 = x_153 = None
+        x_155 = torch.nn.functional.layer_norm(
+            x_154,
+            (768,),
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        ) = None
+        linear_70 = torch._C._nn.linear(
+            x_155,
+            l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_60 = linear_70.reshape(1, 197, 12, -1)
+        linear_70 = None
+        q_20 = reshape_60.transpose(1, 2)
+        reshape_60 = None
+        linear_71 = torch._C._nn.linear(
+            x_155,
+            l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_61 = linear_71.reshape(1, 197, 12, -1)
+        linear_71 = None
+        k_20 = reshape_61.transpose(1, 2)
+        reshape_61 = None
+        linear_72 = torch._C._nn.linear(
+            x_155,
+            l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_155 = l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_62 = linear_72.reshape(1, 197, 12, -1)
+        linear_72 = None
+        v_10 = reshape_62.transpose(1, 2)
+        reshape_62 = None
+        getitem_124 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_125 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_20 = None
+        tensor_split_20 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_20 = tensor_split_20[0]
+        cos_emb_20 = tensor_split_20[1]
+        tensor_split_20 = None
+        mul_50 = getitem_125 * cos_emb_20
+        cos_emb_20 = None
+        getitem_128 = getitem_125[(Ellipsis, slice(1, None, 2))]
+        neg_20 = -getitem_128
+        getitem_128 = None
+        getitem_129 = getitem_125[(Ellipsis, slice(None, None, 2))]
+        getitem_125 = None
+        stack_20 = torch.stack([neg_20, getitem_129], -1)
+        neg_20 = getitem_129 = None
+        reshape_63 = stack_20.reshape((1, 12, 196, 64))
+        stack_20 = None
+        mul_51 = reshape_63 * sin_emb_20
+        reshape_63 = sin_emb_20 = None
+        add_41 = mul_50 + mul_51
+        mul_50 = mul_51 = None
+        cat_21 = torch.cat([getitem_124, add_41], dim=2)
+        getitem_124 = add_41 = None
+        q_21 = cat_21.type_as(v_10)
+        cat_21 = None
+        getitem_130 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_131 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_20 = None
+        tensor_split_21 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_21 = tensor_split_21[0]
+        cos_emb_21 = tensor_split_21[1]
+        tensor_split_21 = None
+        mul_52 = getitem_131 * cos_emb_21
+        cos_emb_21 = None
+        getitem_134 = getitem_131[(Ellipsis, slice(1, None, 2))]
+        neg_21 = -getitem_134
+        getitem_134 = None
+        getitem_135 = getitem_131[(Ellipsis, slice(None, None, 2))]
+        getitem_131 = None
+        stack_21 = torch.stack([neg_21, getitem_135], -1)
+        neg_21 = getitem_135 = None
+        reshape_64 = stack_21.reshape((1, 12, 196, 64))
+        stack_21 = None
+        mul_53 = reshape_64 * sin_emb_21
+        reshape_64 = sin_emb_21 = None
+        add_42 = mul_52 + mul_53
+        mul_52 = mul_53 = None
+        cat_22 = torch.cat([getitem_130, add_42], dim=2)
+        getitem_130 = add_42 = None
+        k_21 = cat_22.type_as(v_10)
+        cat_22 = None
+        x_156 = torch._C._nn.scaled_dot_product_attention(
+            q_21, k_21, v_10, attn_mask=None, dropout_p=0.0
+        )
+        q_21 = k_21 = v_10 = None
+        transpose_44 = x_156.transpose(1, 2)
+        x_156 = None
+        x_157 = transpose_44.reshape(1, 197, 768)
+        transpose_44 = None
+        x_158 = torch.nn.functional.layer_norm(
+            x_157,
+            (768,),
+            l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_157 = l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_159 = torch._C._nn.linear(
+            x_158,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_158 = l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_160 = torch.nn.functional.dropout(x_159, 0.0, False, False)
+        x_159 = None
+        x_161 = x_154 + x_160
+        x_154 = x_160 = None
+        x_162 = torch.nn.functional.layer_norm(
+            x_161,
+            (768,),
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_10 = torch._C._nn.linear(
+            x_162,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_163 = torch._C._nn.linear(
+            x_162,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_162 = l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_10 = torch.nn.functional.silu(x_gate_10, inplace=False)
+        x_gate_10 = None
+        x_164 = silu_10 * x_163
+        silu_10 = x_163 = None
+        x_165 = torch.nn.functional.dropout(x_164, 0.0, False, False)
+        x_164 = None
+        x_166 = torch.nn.functional.layer_norm(
+            x_165,
+            (2048,),
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_165 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_167 = torch._C._nn.linear(
+            x_166,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_166 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_168 = torch.nn.functional.dropout(x_167, 0.0, False, False)
+        x_167 = None
+        x_169 = x_161 + x_168
+        x_161 = x_168 = None
+        x_170 = torch.nn.functional.layer_norm(
+            x_169,
+            (768,),
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        ) = None
+        linear_77 = torch._C._nn.linear(
+            x_170,
+            l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_66 = linear_77.reshape(1, 197, 12, -1)
+        linear_77 = None
+        q_22 = reshape_66.transpose(1, 2)
+        reshape_66 = None
+        linear_78 = torch._C._nn.linear(
+            x_170,
+            l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_67 = linear_78.reshape(1, 197, 12, -1)
+        linear_78 = None
+        k_22 = reshape_67.transpose(1, 2)
+        reshape_67 = None
+        linear_79 = torch._C._nn.linear(
+            x_170,
+            l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_170 = l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_68 = linear_79.reshape(1, 197, 12, -1)
+        linear_79 = None
+        v_11 = reshape_68.transpose(1, 2)
+        reshape_68 = None
+        getitem_136 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_137 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_22 = None
+        tensor_split_22 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_22 = tensor_split_22[0]
+        cos_emb_22 = tensor_split_22[1]
+        tensor_split_22 = None
+        mul_55 = getitem_137 * cos_emb_22
+        cos_emb_22 = None
+        getitem_140 = getitem_137[(Ellipsis, slice(1, None, 2))]
+        neg_22 = -getitem_140
+        getitem_140 = None
+        getitem_141 = getitem_137[(Ellipsis, slice(None, None, 2))]
+        getitem_137 = None
+        stack_22 = torch.stack([neg_22, getitem_141], -1)
+        neg_22 = getitem_141 = None
+        reshape_69 = stack_22.reshape((1, 12, 196, 64))
+        stack_22 = None
+        mul_56 = reshape_69 * sin_emb_22
+        reshape_69 = sin_emb_22 = None
+        add_45 = mul_55 + mul_56
+        mul_55 = mul_56 = None
+        cat_23 = torch.cat([getitem_136, add_45], dim=2)
+        getitem_136 = add_45 = None
+        q_23 = cat_23.type_as(v_11)
+        cat_23 = None
+        getitem_142 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_143 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_22 = None
+        tensor_split_23 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        l_self_modules_rope_buffers_pos_embed_ = None
+        sin_emb_23 = tensor_split_23[0]
+        cos_emb_23 = tensor_split_23[1]
+        tensor_split_23 = None
+        mul_57 = getitem_143 * cos_emb_23
+        cos_emb_23 = None
+        getitem_146 = getitem_143[(Ellipsis, slice(1, None, 2))]
+        neg_23 = -getitem_146
+        getitem_146 = None
+        getitem_147 = getitem_143[(Ellipsis, slice(None, None, 2))]
+        getitem_143 = None
+        stack_23 = torch.stack([neg_23, getitem_147], -1)
+        neg_23 = getitem_147 = None
+        reshape_70 = stack_23.reshape((1, 12, 196, 64))
+        stack_23 = None
+        mul_58 = reshape_70 * sin_emb_23
+        reshape_70 = sin_emb_23 = None
+        add_46 = mul_57 + mul_58
+        mul_57 = mul_58 = None
+        cat_24 = torch.cat([getitem_142, add_46], dim=2)
+        getitem_142 = add_46 = None
+        k_23 = cat_24.type_as(v_11)
+        cat_24 = None
+        x_171 = torch._C._nn.scaled_dot_product_attention(
+            q_23, k_23, v_11, attn_mask=None, dropout_p=0.0
+        )
+        q_23 = k_23 = v_11 = None
+        transpose_48 = x_171.transpose(1, 2)
+        x_171 = None
+        x_172 = transpose_48.reshape(1, 197, 768)
+        transpose_48 = None
+        x_173 = torch.nn.functional.layer_norm(
+            x_172,
+            (768,),
+            l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_172 = l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_174 = torch._C._nn.linear(
+            x_173,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_173 = l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_175 = torch.nn.functional.dropout(x_174, 0.0, False, False)
+        x_174 = None
+        x_176 = x_169 + x_175
+        x_169 = x_175 = None
+        x_177 = torch.nn.functional.layer_norm(
+            x_176,
+            (768,),
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_11 = torch._C._nn.linear(
+            x_177,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_178 = torch._C._nn.linear(
+            x_177,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_177 = l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_11 = torch.nn.functional.silu(x_gate_11, inplace=False)
+        x_gate_11 = None
+        x_179 = silu_11 * x_178
+        silu_11 = x_178 = None
+        x_180 = torch.nn.functional.dropout(x_179, 0.0, False, False)
+        x_179 = None
+        x_181 = torch.nn.functional.layer_norm(
+            x_180,
+            (2048,),
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_180 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_182 = torch._C._nn.linear(
+            x_181,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_181 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_183 = torch.nn.functional.dropout(x_182, 0.0, False, False)
+        x_182 = None
+        x_184 = x_176 + x_183
+        x_176 = x_183 = None
+        x_185 = torch.nn.functional.layer_norm(
+            x_184,
+            (768,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_184 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_186 = x_185[(slice(None, None, None), 0)]
+        x_185 = None
+        x_187 = torch.nn.functional.dropout(x_186, 0.0, False, False)
+        x_186 = None
+        x_188 = torch._C._nn.linear(
+            x_187,
+            l_self_modules_head_parameters_weight_,
+            l_self_modules_head_parameters_bias_,
+        )
+        x_187 = (
+            l_self_modules_head_parameters_weight_
+        ) = l_self_modules_head_parameters_bias_ = None
+        return (x_188,)
diff --git a/samples/timm/eva02_base_patch16_clip_224.merged2b/weight_meta.py b/samples/timm/eva02_base_patch16_clip_224.merged2b/weight_meta.py
new file mode 100644
index 000000000..aec78b1e2
--- /dev/null
+++ b/samples/timm/eva02_base_patch16_clip_224.merged2b/weight_meta.py
@@ -0,0 +1,2826 @@
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [768, 3, 16, 16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_pos_embed_:
+    name = "L_self_parameters_pos_embed_"
+    shape = [1, 197, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_rope_buffers_pos_embed_:
+    name = "L_self_modules_rope_buffers_pos_embed_"
+    shape = [196, 128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.448
+    std = 0.547
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_cls_token_:
+    name = "L_self_parameters_cls_token_"
+    shape = [1, 1, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [768, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2048, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_weight_:
+    name = "L_self_modules_head_parameters_weight_"
+    shape = [512, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_bias_:
+    name = "L_self_modules_head_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/eva02_enormous_patch14_clip_224.laion2b/graph_hash.txt b/samples/timm/eva02_enormous_patch14_clip_224.laion2b/graph_hash.txt
new file mode 100644
index 000000000..0e0d9fb84
--- /dev/null
+++ b/samples/timm/eva02_enormous_patch14_clip_224.laion2b/graph_hash.txt
@@ -0,0 +1 @@
+d640c8f4907e87669b82a4142fa99b9b001051ed11c2b5eab20b3bba481d7f2c
\ No newline at end of file
diff --git a/samples/timm/eva02_enormous_patch14_clip_224.laion2b/graph_net.json b/samples/timm/eva02_enormous_patch14_clip_224.laion2b/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/eva02_enormous_patch14_clip_224.laion2b/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/eva02_enormous_patch14_clip_224.laion2b/input_meta.py b/samples/timm/eva02_enormous_patch14_clip_224.laion2b/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_enormous_patch14_clip_224.laion2b/input_tensor_constraints.py b/samples/timm/eva02_enormous_patch14_clip_224.laion2b/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_enormous_patch14_clip_224.laion2b/model.py b/samples/timm/eva02_enormous_patch14_clip_224.laion2b/model.py
new file mode 100644
index 000000000..791d357bd
--- /dev/null
+++ b/samples/timm/eva02_enormous_patch14_clip_224.laion2b/model.py
@@ -0,0 +1,9588 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_parameters_pos_embed_: torch.nn.parameter.Parameter,
+        L_self_parameters_cls_token_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_53_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_53_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_53_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_53_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_54_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_54_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_55_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_55_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_56_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_56_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_57_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_57_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_58_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_58_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_59_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_59_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_60_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_60_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_61_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_61_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_62_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_62_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_63_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_63_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_proj_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_bias_
+        )
+        l_self_parameters_pos_embed_ = L_self_parameters_pos_embed_
+        l_self_parameters_cls_token_ = L_self_parameters_cls_token_
+        l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_40_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_40_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_40_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_40_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_40_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_40_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_40_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_40_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_40_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_40_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_40_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_40_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_40_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_40_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_40_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_40_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_41_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_41_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_41_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_41_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_41_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_41_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_41_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_41_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_41_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_41_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_41_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_41_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_41_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_41_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_41_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_41_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_42_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_42_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_42_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_42_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_42_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_42_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_42_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_42_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_42_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_42_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_42_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_42_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_42_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_42_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_42_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_42_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_43_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_43_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_43_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_43_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_43_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_43_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_43_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_43_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_43_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_43_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_43_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_43_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_43_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_43_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_43_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_43_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_44_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_44_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_44_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_44_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_44_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_44_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_44_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_44_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_44_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_44_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_44_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_44_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_44_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_44_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_44_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_44_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_45_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_45_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_45_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_45_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_45_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_45_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_45_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_45_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_45_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_45_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_45_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_45_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_45_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_45_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_45_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_45_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_46_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_46_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_46_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_46_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_46_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_46_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_46_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_46_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_46_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_46_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_46_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_46_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_46_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_46_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_46_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_46_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_47_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_47_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_47_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_47_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_47_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_47_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_47_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_47_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_47_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_47_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_47_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_47_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_47_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_47_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_47_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_47_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_48_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_48_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_48_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_48_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_48_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_48_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_48_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_48_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_48_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_48_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_48_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_48_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_48_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_48_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_48_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_48_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_49_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_49_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_49_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_49_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_49_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_49_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_49_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_49_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_49_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_49_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_49_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_49_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_49_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_49_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_49_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_49_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_50_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_50_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_50_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_50_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_50_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_50_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_50_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_50_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_50_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_50_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_50_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_50_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_50_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_50_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_50_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_50_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_51_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_51_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_51_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_51_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_51_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_51_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_51_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_51_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_51_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_51_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_51_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_51_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_51_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_51_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_51_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_51_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_52_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_52_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_52_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_52_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_52_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_52_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_52_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_52_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_52_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_52_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_52_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_52_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_52_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_52_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_52_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_52_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_53_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_53_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_53_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_53_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_53_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_53_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_53_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_53_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_53_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_53_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_53_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_53_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_53_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_53_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_53_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_53_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_54_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_54_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_54_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_54_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_54_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_54_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_54_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_54_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_54_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_54_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_54_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_54_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_54_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_54_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_54_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_54_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_55_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_55_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_55_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_55_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_55_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_55_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_55_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_55_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_55_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_55_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_55_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_55_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_55_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_55_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_55_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_55_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_56_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_56_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_56_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_56_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_56_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_56_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_56_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_56_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_56_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_56_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_56_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_56_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_56_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_56_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_56_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_56_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_57_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_57_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_57_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_57_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_57_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_57_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_57_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_57_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_57_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_57_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_57_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_57_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_57_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_57_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_57_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_57_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_58_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_58_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_58_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_58_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_58_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_58_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_58_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_58_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_58_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_58_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_58_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_58_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_58_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_58_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_58_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_58_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_59_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_59_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_59_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_59_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_59_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_59_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_59_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_59_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_59_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_59_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_59_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_59_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_59_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_59_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_59_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_59_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_60_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_60_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_60_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_60_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_60_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_60_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_60_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_60_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_60_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_60_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_60_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_60_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_60_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_60_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_60_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_60_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_61_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_61_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_61_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_61_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_61_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_61_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_61_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_61_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_61_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_61_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_61_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_61_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_61_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_61_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_61_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_61_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_62_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_62_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_62_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_62_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_62_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_62_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_62_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_62_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_62_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_62_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_62_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_62_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_62_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_62_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_62_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_62_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_63_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_63_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_63_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_63_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_63_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_63_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_63_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_63_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_63_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_63_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_63_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_63_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_63_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_63_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_63_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_63_modules_norm2_parameters_bias_
+        )
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_parameters_weight_ = L_self_modules_head_parameters_weight_
+        l_self_modules_head_parameters_bias_ = L_self_modules_head_parameters_bias_
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            l_self_modules_patch_embed_modules_proj_parameters_bias_,
+            (14, 14),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_patch_embed_modules_proj_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_proj_parameters_bias_ = None
+        flatten = x.flatten(2)
+        x = None
+        x_1 = flatten.transpose(1, 2)
+        flatten = None
+        expand = l_self_parameters_cls_token_.expand(1, -1, -1)
+        l_self_parameters_cls_token_ = None
+        x_2 = torch.cat([expand, x_1], dim=1)
+        expand = x_1 = None
+        x_3 = x_2 + l_self_parameters_pos_embed_
+        x_2 = l_self_parameters_pos_embed_ = None
+        x_4 = torch.nn.functional.dropout(x_3, 0.0, False, False)
+        x_3 = None
+        qkv_bias = torch.cat(
+            (
+                l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_ = None
+        qkv = torch._C._nn.linear(
+            x_4,
+            weight=l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias,
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias
+        ) = None
+        reshape = qkv.reshape(1, 257, 3, 16, -1)
+        qkv = None
+        qkv_1 = reshape.permute(2, 0, 3, 1, 4)
+        reshape = None
+        unbind = qkv_1.unbind(0)
+        qkv_1 = None
+        q = unbind[0]
+        k = unbind[1]
+        v = unbind[2]
+        unbind = None
+        x_5 = torch._C._nn.scaled_dot_product_attention(
+            q, k, v, attn_mask=None, dropout_p=0.0
+        )
+        q = k = v = None
+        transpose_1 = x_5.transpose(1, 2)
+        x_5 = None
+        x_6 = transpose_1.reshape(1, 257, 1792)
+        transpose_1 = None
+        x_7 = torch._C._nn.linear(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_8 = torch.nn.functional.dropout(x_7, 0.0, False, False)
+        x_7 = None
+        x_9 = torch.nn.functional.layer_norm(
+            x_8,
+            (1792,),
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_ = None
+        x_10 = x_4 + x_9
+        x_4 = x_9 = None
+        x_11 = torch._C._nn.linear(
+            x_10,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_12 = torch._C._nn.gelu(x_11, approximate="none")
+        x_11 = None
+        x_13 = torch.nn.functional.dropout(x_12, 0.0, False, False)
+        x_12 = None
+        x_14 = torch._C._nn.linear(
+            x_13,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_13 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_15 = torch.nn.functional.dropout(x_14, 0.0, False, False)
+        x_14 = None
+        x_16 = torch.nn.functional.layer_norm(
+            x_15,
+            (1792,),
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_ = None
+        x_17 = x_10 + x_16
+        x_10 = x_16 = None
+        qkv_bias_1 = torch.cat(
+            (
+                l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_ = None
+        qkv_2 = torch._C._nn.linear(
+            x_17,
+            weight=l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_1,
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_1
+        ) = None
+        reshape_2 = qkv_2.reshape(1, 257, 3, 16, -1)
+        qkv_2 = None
+        qkv_3 = reshape_2.permute(2, 0, 3, 1, 4)
+        reshape_2 = None
+        unbind_1 = qkv_3.unbind(0)
+        qkv_3 = None
+        q_1 = unbind_1[0]
+        k_1 = unbind_1[1]
+        v_1 = unbind_1[2]
+        unbind_1 = None
+        x_18 = torch._C._nn.scaled_dot_product_attention(
+            q_1, k_1, v_1, attn_mask=None, dropout_p=0.0
+        )
+        q_1 = k_1 = v_1 = None
+        transpose_2 = x_18.transpose(1, 2)
+        x_18 = None
+        x_19 = transpose_2.reshape(1, 257, 1792)
+        transpose_2 = None
+        x_20 = torch._C._nn.linear(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_21 = torch.nn.functional.dropout(x_20, 0.0, False, False)
+        x_20 = None
+        x_22 = torch.nn.functional.layer_norm(
+            x_21,
+            (1792,),
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_21 = (
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_ = None
+        x_23 = x_17 + x_22
+        x_17 = x_22 = None
+        x_24 = torch._C._nn.linear(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_25 = torch._C._nn.gelu(x_24, approximate="none")
+        x_24 = None
+        x_26 = torch.nn.functional.dropout(x_25, 0.0, False, False)
+        x_25 = None
+        x_27 = torch._C._nn.linear(
+            x_26,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_28 = torch.nn.functional.dropout(x_27, 0.0, False, False)
+        x_27 = None
+        x_29 = torch.nn.functional.layer_norm(
+            x_28,
+            (1792,),
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_ = None
+        x_30 = x_23 + x_29
+        x_23 = x_29 = None
+        qkv_bias_2 = torch.cat(
+            (
+                l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_ = None
+        qkv_4 = torch._C._nn.linear(
+            x_30,
+            weight=l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_2,
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_2
+        ) = None
+        reshape_4 = qkv_4.reshape(1, 257, 3, 16, -1)
+        qkv_4 = None
+        qkv_5 = reshape_4.permute(2, 0, 3, 1, 4)
+        reshape_4 = None
+        unbind_2 = qkv_5.unbind(0)
+        qkv_5 = None
+        q_2 = unbind_2[0]
+        k_2 = unbind_2[1]
+        v_2 = unbind_2[2]
+        unbind_2 = None
+        x_31 = torch._C._nn.scaled_dot_product_attention(
+            q_2, k_2, v_2, attn_mask=None, dropout_p=0.0
+        )
+        q_2 = k_2 = v_2 = None
+        transpose_3 = x_31.transpose(1, 2)
+        x_31 = None
+        x_32 = transpose_3.reshape(1, 257, 1792)
+        transpose_3 = None
+        x_33 = torch._C._nn.linear(
+            x_32,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_34 = torch.nn.functional.dropout(x_33, 0.0, False, False)
+        x_33 = None
+        x_35 = torch.nn.functional.layer_norm(
+            x_34,
+            (1792,),
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_ = None
+        x_36 = x_30 + x_35
+        x_30 = x_35 = None
+        x_37 = torch._C._nn.linear(
+            x_36,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_38 = torch._C._nn.gelu(x_37, approximate="none")
+        x_37 = None
+        x_39 = torch.nn.functional.dropout(x_38, 0.0, False, False)
+        x_38 = None
+        x_40 = torch._C._nn.linear(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_41 = torch.nn.functional.dropout(x_40, 0.0, False, False)
+        x_40 = None
+        x_42 = torch.nn.functional.layer_norm(
+            x_41,
+            (1792,),
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_41 = (
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_ = None
+        x_43 = x_36 + x_42
+        x_36 = x_42 = None
+        qkv_bias_3 = torch.cat(
+            (
+                l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_ = None
+        qkv_6 = torch._C._nn.linear(
+            x_43,
+            weight=l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_3,
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_3
+        ) = None
+        reshape_6 = qkv_6.reshape(1, 257, 3, 16, -1)
+        qkv_6 = None
+        qkv_7 = reshape_6.permute(2, 0, 3, 1, 4)
+        reshape_6 = None
+        unbind_3 = qkv_7.unbind(0)
+        qkv_7 = None
+        q_3 = unbind_3[0]
+        k_3 = unbind_3[1]
+        v_3 = unbind_3[2]
+        unbind_3 = None
+        x_44 = torch._C._nn.scaled_dot_product_attention(
+            q_3, k_3, v_3, attn_mask=None, dropout_p=0.0
+        )
+        q_3 = k_3 = v_3 = None
+        transpose_4 = x_44.transpose(1, 2)
+        x_44 = None
+        x_45 = transpose_4.reshape(1, 257, 1792)
+        transpose_4 = None
+        x_46 = torch._C._nn.linear(
+            x_45,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_47 = torch.nn.functional.dropout(x_46, 0.0, False, False)
+        x_46 = None
+        x_48 = torch.nn.functional.layer_norm(
+            x_47,
+            (1792,),
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_47 = (
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_ = None
+        x_49 = x_43 + x_48
+        x_43 = x_48 = None
+        x_50 = torch._C._nn.linear(
+            x_49,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_51 = torch._C._nn.gelu(x_50, approximate="none")
+        x_50 = None
+        x_52 = torch.nn.functional.dropout(x_51, 0.0, False, False)
+        x_51 = None
+        x_53 = torch._C._nn.linear(
+            x_52,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_54 = torch.nn.functional.dropout(x_53, 0.0, False, False)
+        x_53 = None
+        x_55 = torch.nn.functional.layer_norm(
+            x_54,
+            (1792,),
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_54 = (
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_ = None
+        x_56 = x_49 + x_55
+        x_49 = x_55 = None
+        qkv_bias_4 = torch.cat(
+            (
+                l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_ = None
+        qkv_8 = torch._C._nn.linear(
+            x_56,
+            weight=l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_4,
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_4
+        ) = None
+        reshape_8 = qkv_8.reshape(1, 257, 3, 16, -1)
+        qkv_8 = None
+        qkv_9 = reshape_8.permute(2, 0, 3, 1, 4)
+        reshape_8 = None
+        unbind_4 = qkv_9.unbind(0)
+        qkv_9 = None
+        q_4 = unbind_4[0]
+        k_4 = unbind_4[1]
+        v_4 = unbind_4[2]
+        unbind_4 = None
+        x_57 = torch._C._nn.scaled_dot_product_attention(
+            q_4, k_4, v_4, attn_mask=None, dropout_p=0.0
+        )
+        q_4 = k_4 = v_4 = None
+        transpose_5 = x_57.transpose(1, 2)
+        x_57 = None
+        x_58 = transpose_5.reshape(1, 257, 1792)
+        transpose_5 = None
+        x_59 = torch._C._nn.linear(
+            x_58,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_60 = torch.nn.functional.dropout(x_59, 0.0, False, False)
+        x_59 = None
+        x_61 = torch.nn.functional.layer_norm(
+            x_60,
+            (1792,),
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_60 = (
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_ = None
+        x_62 = x_56 + x_61
+        x_56 = x_61 = None
+        x_63 = torch._C._nn.linear(
+            x_62,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_64 = torch._C._nn.gelu(x_63, approximate="none")
+        x_63 = None
+        x_65 = torch.nn.functional.dropout(x_64, 0.0, False, False)
+        x_64 = None
+        x_66 = torch._C._nn.linear(
+            x_65,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_65 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_67 = torch.nn.functional.dropout(x_66, 0.0, False, False)
+        x_66 = None
+        x_68 = torch.nn.functional.layer_norm(
+            x_67,
+            (1792,),
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_ = None
+        x_69 = x_62 + x_68
+        x_62 = x_68 = None
+        qkv_bias_5 = torch.cat(
+            (
+                l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_ = None
+        qkv_10 = torch._C._nn.linear(
+            x_69,
+            weight=l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_5,
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_5
+        ) = None
+        reshape_10 = qkv_10.reshape(1, 257, 3, 16, -1)
+        qkv_10 = None
+        qkv_11 = reshape_10.permute(2, 0, 3, 1, 4)
+        reshape_10 = None
+        unbind_5 = qkv_11.unbind(0)
+        qkv_11 = None
+        q_5 = unbind_5[0]
+        k_5 = unbind_5[1]
+        v_5 = unbind_5[2]
+        unbind_5 = None
+        x_70 = torch._C._nn.scaled_dot_product_attention(
+            q_5, k_5, v_5, attn_mask=None, dropout_p=0.0
+        )
+        q_5 = k_5 = v_5 = None
+        transpose_6 = x_70.transpose(1, 2)
+        x_70 = None
+        x_71 = transpose_6.reshape(1, 257, 1792)
+        transpose_6 = None
+        x_72 = torch._C._nn.linear(
+            x_71,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_73 = torch.nn.functional.dropout(x_72, 0.0, False, False)
+        x_72 = None
+        x_74 = torch.nn.functional.layer_norm(
+            x_73,
+            (1792,),
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_ = None
+        x_75 = x_69 + x_74
+        x_69 = x_74 = None
+        x_76 = torch._C._nn.linear(
+            x_75,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_77 = torch._C._nn.gelu(x_76, approximate="none")
+        x_76 = None
+        x_78 = torch.nn.functional.dropout(x_77, 0.0, False, False)
+        x_77 = None
+        x_79 = torch._C._nn.linear(
+            x_78,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_78 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_80 = torch.nn.functional.dropout(x_79, 0.0, False, False)
+        x_79 = None
+        x_81 = torch.nn.functional.layer_norm(
+            x_80,
+            (1792,),
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_80 = (
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_ = None
+        x_82 = x_75 + x_81
+        x_75 = x_81 = None
+        qkv_bias_6 = torch.cat(
+            (
+                l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_ = None
+        qkv_12 = torch._C._nn.linear(
+            x_82,
+            weight=l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_6,
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_6
+        ) = None
+        reshape_12 = qkv_12.reshape(1, 257, 3, 16, -1)
+        qkv_12 = None
+        qkv_13 = reshape_12.permute(2, 0, 3, 1, 4)
+        reshape_12 = None
+        unbind_6 = qkv_13.unbind(0)
+        qkv_13 = None
+        q_6 = unbind_6[0]
+        k_6 = unbind_6[1]
+        v_6 = unbind_6[2]
+        unbind_6 = None
+        x_83 = torch._C._nn.scaled_dot_product_attention(
+            q_6, k_6, v_6, attn_mask=None, dropout_p=0.0
+        )
+        q_6 = k_6 = v_6 = None
+        transpose_7 = x_83.transpose(1, 2)
+        x_83 = None
+        x_84 = transpose_7.reshape(1, 257, 1792)
+        transpose_7 = None
+        x_85 = torch._C._nn.linear(
+            x_84,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_84 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_86 = torch.nn.functional.dropout(x_85, 0.0, False, False)
+        x_85 = None
+        x_87 = torch.nn.functional.layer_norm(
+            x_86,
+            (1792,),
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_86 = (
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_ = None
+        x_88 = x_82 + x_87
+        x_82 = x_87 = None
+        x_89 = torch._C._nn.linear(
+            x_88,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_90 = torch._C._nn.gelu(x_89, approximate="none")
+        x_89 = None
+        x_91 = torch.nn.functional.dropout(x_90, 0.0, False, False)
+        x_90 = None
+        x_92 = torch._C._nn.linear(
+            x_91,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_93 = torch.nn.functional.dropout(x_92, 0.0, False, False)
+        x_92 = None
+        x_94 = torch.nn.functional.layer_norm(
+            x_93,
+            (1792,),
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_ = None
+        x_95 = x_88 + x_94
+        x_88 = x_94 = None
+        qkv_bias_7 = torch.cat(
+            (
+                l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_ = None
+        qkv_14 = torch._C._nn.linear(
+            x_95,
+            weight=l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_7,
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_7
+        ) = None
+        reshape_14 = qkv_14.reshape(1, 257, 3, 16, -1)
+        qkv_14 = None
+        qkv_15 = reshape_14.permute(2, 0, 3, 1, 4)
+        reshape_14 = None
+        unbind_7 = qkv_15.unbind(0)
+        qkv_15 = None
+        q_7 = unbind_7[0]
+        k_7 = unbind_7[1]
+        v_7 = unbind_7[2]
+        unbind_7 = None
+        x_96 = torch._C._nn.scaled_dot_product_attention(
+            q_7, k_7, v_7, attn_mask=None, dropout_p=0.0
+        )
+        q_7 = k_7 = v_7 = None
+        transpose_8 = x_96.transpose(1, 2)
+        x_96 = None
+        x_97 = transpose_8.reshape(1, 257, 1792)
+        transpose_8 = None
+        x_98 = torch._C._nn.linear(
+            x_97,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_99 = torch.nn.functional.dropout(x_98, 0.0, False, False)
+        x_98 = None
+        x_100 = torch.nn.functional.layer_norm(
+            x_99,
+            (1792,),
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_99 = (
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_ = None
+        x_101 = x_95 + x_100
+        x_95 = x_100 = None
+        x_102 = torch._C._nn.linear(
+            x_101,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_103 = torch._C._nn.gelu(x_102, approximate="none")
+        x_102 = None
+        x_104 = torch.nn.functional.dropout(x_103, 0.0, False, False)
+        x_103 = None
+        x_105 = torch._C._nn.linear(
+            x_104,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_104 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_106 = torch.nn.functional.dropout(x_105, 0.0, False, False)
+        x_105 = None
+        x_107 = torch.nn.functional.layer_norm(
+            x_106,
+            (1792,),
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_ = None
+        x_108 = x_101 + x_107
+        x_101 = x_107 = None
+        qkv_bias_8 = torch.cat(
+            (
+                l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_ = None
+        qkv_16 = torch._C._nn.linear(
+            x_108,
+            weight=l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_8,
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_8
+        ) = None
+        reshape_16 = qkv_16.reshape(1, 257, 3, 16, -1)
+        qkv_16 = None
+        qkv_17 = reshape_16.permute(2, 0, 3, 1, 4)
+        reshape_16 = None
+        unbind_8 = qkv_17.unbind(0)
+        qkv_17 = None
+        q_8 = unbind_8[0]
+        k_8 = unbind_8[1]
+        v_8 = unbind_8[2]
+        unbind_8 = None
+        x_109 = torch._C._nn.scaled_dot_product_attention(
+            q_8, k_8, v_8, attn_mask=None, dropout_p=0.0
+        )
+        q_8 = k_8 = v_8 = None
+        transpose_9 = x_109.transpose(1, 2)
+        x_109 = None
+        x_110 = transpose_9.reshape(1, 257, 1792)
+        transpose_9 = None
+        x_111 = torch._C._nn.linear(
+            x_110,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_110 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_112 = torch.nn.functional.dropout(x_111, 0.0, False, False)
+        x_111 = None
+        x_113 = torch.nn.functional.layer_norm(
+            x_112,
+            (1792,),
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_ = None
+        x_114 = x_108 + x_113
+        x_108 = x_113 = None
+        x_115 = torch._C._nn.linear(
+            x_114,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_116 = torch._C._nn.gelu(x_115, approximate="none")
+        x_115 = None
+        x_117 = torch.nn.functional.dropout(x_116, 0.0, False, False)
+        x_116 = None
+        x_118 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_117 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_119 = torch.nn.functional.dropout(x_118, 0.0, False, False)
+        x_118 = None
+        x_120 = torch.nn.functional.layer_norm(
+            x_119,
+            (1792,),
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_119 = (
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_ = None
+        x_121 = x_114 + x_120
+        x_114 = x_120 = None
+        qkv_bias_9 = torch.cat(
+            (
+                l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_ = None
+        qkv_18 = torch._C._nn.linear(
+            x_121,
+            weight=l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_9,
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_9
+        ) = None
+        reshape_18 = qkv_18.reshape(1, 257, 3, 16, -1)
+        qkv_18 = None
+        qkv_19 = reshape_18.permute(2, 0, 3, 1, 4)
+        reshape_18 = None
+        unbind_9 = qkv_19.unbind(0)
+        qkv_19 = None
+        q_9 = unbind_9[0]
+        k_9 = unbind_9[1]
+        v_9 = unbind_9[2]
+        unbind_9 = None
+        x_122 = torch._C._nn.scaled_dot_product_attention(
+            q_9, k_9, v_9, attn_mask=None, dropout_p=0.0
+        )
+        q_9 = k_9 = v_9 = None
+        transpose_10 = x_122.transpose(1, 2)
+        x_122 = None
+        x_123 = transpose_10.reshape(1, 257, 1792)
+        transpose_10 = None
+        x_124 = torch._C._nn.linear(
+            x_123,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_125 = torch.nn.functional.dropout(x_124, 0.0, False, False)
+        x_124 = None
+        x_126 = torch.nn.functional.layer_norm(
+            x_125,
+            (1792,),
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_125 = (
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_ = None
+        x_127 = x_121 + x_126
+        x_121 = x_126 = None
+        x_128 = torch._C._nn.linear(
+            x_127,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_129 = torch._C._nn.gelu(x_128, approximate="none")
+        x_128 = None
+        x_130 = torch.nn.functional.dropout(x_129, 0.0, False, False)
+        x_129 = None
+        x_131 = torch._C._nn.linear(
+            x_130,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_130 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_132 = torch.nn.functional.dropout(x_131, 0.0, False, False)
+        x_131 = None
+        x_133 = torch.nn.functional.layer_norm(
+            x_132,
+            (1792,),
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_ = None
+        x_134 = x_127 + x_133
+        x_127 = x_133 = None
+        qkv_bias_10 = torch.cat(
+            (
+                l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_ = None
+        qkv_20 = torch._C._nn.linear(
+            x_134,
+            weight=l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_10,
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_10
+        ) = None
+        reshape_20 = qkv_20.reshape(1, 257, 3, 16, -1)
+        qkv_20 = None
+        qkv_21 = reshape_20.permute(2, 0, 3, 1, 4)
+        reshape_20 = None
+        unbind_10 = qkv_21.unbind(0)
+        qkv_21 = None
+        q_10 = unbind_10[0]
+        k_10 = unbind_10[1]
+        v_10 = unbind_10[2]
+        unbind_10 = None
+        x_135 = torch._C._nn.scaled_dot_product_attention(
+            q_10, k_10, v_10, attn_mask=None, dropout_p=0.0
+        )
+        q_10 = k_10 = v_10 = None
+        transpose_11 = x_135.transpose(1, 2)
+        x_135 = None
+        x_136 = transpose_11.reshape(1, 257, 1792)
+        transpose_11 = None
+        x_137 = torch._C._nn.linear(
+            x_136,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_136 = l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_138 = torch.nn.functional.dropout(x_137, 0.0, False, False)
+        x_137 = None
+        x_139 = torch.nn.functional.layer_norm(
+            x_138,
+            (1792,),
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_138 = (
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_ = None
+        x_140 = x_134 + x_139
+        x_134 = x_139 = None
+        x_141 = torch._C._nn.linear(
+            x_140,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_142 = torch._C._nn.gelu(x_141, approximate="none")
+        x_141 = None
+        x_143 = torch.nn.functional.dropout(x_142, 0.0, False, False)
+        x_142 = None
+        x_144 = torch._C._nn.linear(
+            x_143,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.dropout(x_144, 0.0, False, False)
+        x_144 = None
+        x_146 = torch.nn.functional.layer_norm(
+            x_145,
+            (1792,),
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_ = None
+        x_147 = x_140 + x_146
+        x_140 = x_146 = None
+        qkv_bias_11 = torch.cat(
+            (
+                l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_ = None
+        qkv_22 = torch._C._nn.linear(
+            x_147,
+            weight=l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_11,
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_11
+        ) = None
+        reshape_22 = qkv_22.reshape(1, 257, 3, 16, -1)
+        qkv_22 = None
+        qkv_23 = reshape_22.permute(2, 0, 3, 1, 4)
+        reshape_22 = None
+        unbind_11 = qkv_23.unbind(0)
+        qkv_23 = None
+        q_11 = unbind_11[0]
+        k_11 = unbind_11[1]
+        v_11 = unbind_11[2]
+        unbind_11 = None
+        x_148 = torch._C._nn.scaled_dot_product_attention(
+            q_11, k_11, v_11, attn_mask=None, dropout_p=0.0
+        )
+        q_11 = k_11 = v_11 = None
+        transpose_12 = x_148.transpose(1, 2)
+        x_148 = None
+        x_149 = transpose_12.reshape(1, 257, 1792)
+        transpose_12 = None
+        x_150 = torch._C._nn.linear(
+            x_149,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_149 = l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_151 = torch.nn.functional.dropout(x_150, 0.0, False, False)
+        x_150 = None
+        x_152 = torch.nn.functional.layer_norm(
+            x_151,
+            (1792,),
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_151 = (
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_ = None
+        x_153 = x_147 + x_152
+        x_147 = x_152 = None
+        x_154 = torch._C._nn.linear(
+            x_153,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_155 = torch._C._nn.gelu(x_154, approximate="none")
+        x_154 = None
+        x_156 = torch.nn.functional.dropout(x_155, 0.0, False, False)
+        x_155 = None
+        x_157 = torch._C._nn.linear(
+            x_156,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_156 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_158 = torch.nn.functional.dropout(x_157, 0.0, False, False)
+        x_157 = None
+        x_159 = torch.nn.functional.layer_norm(
+            x_158,
+            (1792,),
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_158 = (
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_ = None
+        x_160 = x_153 + x_159
+        x_153 = x_159 = None
+        qkv_bias_12 = torch.cat(
+            (
+                l_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_ = None
+        qkv_24 = torch._C._nn.linear(
+            x_160,
+            weight=l_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_12,
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_12
+        ) = None
+        reshape_24 = qkv_24.reshape(1, 257, 3, 16, -1)
+        qkv_24 = None
+        qkv_25 = reshape_24.permute(2, 0, 3, 1, 4)
+        reshape_24 = None
+        unbind_12 = qkv_25.unbind(0)
+        qkv_25 = None
+        q_12 = unbind_12[0]
+        k_12 = unbind_12[1]
+        v_12 = unbind_12[2]
+        unbind_12 = None
+        x_161 = torch._C._nn.scaled_dot_product_attention(
+            q_12, k_12, v_12, attn_mask=None, dropout_p=0.0
+        )
+        q_12 = k_12 = v_12 = None
+        transpose_13 = x_161.transpose(1, 2)
+        x_161 = None
+        x_162 = transpose_13.reshape(1, 257, 1792)
+        transpose_13 = None
+        x_163 = torch._C._nn.linear(
+            x_162,
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_162 = l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_164 = torch.nn.functional.dropout(x_163, 0.0, False, False)
+        x_163 = None
+        x_165 = torch.nn.functional.layer_norm(
+            x_164,
+            (1792,),
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_164 = (
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_ = None
+        x_166 = x_160 + x_165
+        x_160 = x_165 = None
+        x_167 = torch._C._nn.linear(
+            x_166,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_168 = torch._C._nn.gelu(x_167, approximate="none")
+        x_167 = None
+        x_169 = torch.nn.functional.dropout(x_168, 0.0, False, False)
+        x_168 = None
+        x_170 = torch._C._nn.linear(
+            x_169,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_169 = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_171 = torch.nn.functional.dropout(x_170, 0.0, False, False)
+        x_170 = None
+        x_172 = torch.nn.functional.layer_norm(
+            x_171,
+            (1792,),
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_171 = (
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_ = None
+        x_173 = x_166 + x_172
+        x_166 = x_172 = None
+        qkv_bias_13 = torch.cat(
+            (
+                l_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_ = None
+        qkv_26 = torch._C._nn.linear(
+            x_173,
+            weight=l_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_13,
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_13
+        ) = None
+        reshape_26 = qkv_26.reshape(1, 257, 3, 16, -1)
+        qkv_26 = None
+        qkv_27 = reshape_26.permute(2, 0, 3, 1, 4)
+        reshape_26 = None
+        unbind_13 = qkv_27.unbind(0)
+        qkv_27 = None
+        q_13 = unbind_13[0]
+        k_13 = unbind_13[1]
+        v_13 = unbind_13[2]
+        unbind_13 = None
+        x_174 = torch._C._nn.scaled_dot_product_attention(
+            q_13, k_13, v_13, attn_mask=None, dropout_p=0.0
+        )
+        q_13 = k_13 = v_13 = None
+        transpose_14 = x_174.transpose(1, 2)
+        x_174 = None
+        x_175 = transpose_14.reshape(1, 257, 1792)
+        transpose_14 = None
+        x_176 = torch._C._nn.linear(
+            x_175,
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_175 = l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_177 = torch.nn.functional.dropout(x_176, 0.0, False, False)
+        x_176 = None
+        x_178 = torch.nn.functional.layer_norm(
+            x_177,
+            (1792,),
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_177 = (
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_ = None
+        x_179 = x_173 + x_178
+        x_173 = x_178 = None
+        x_180 = torch._C._nn.linear(
+            x_179,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_181 = torch._C._nn.gelu(x_180, approximate="none")
+        x_180 = None
+        x_182 = torch.nn.functional.dropout(x_181, 0.0, False, False)
+        x_181 = None
+        x_183 = torch._C._nn.linear(
+            x_182,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_182 = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_184 = torch.nn.functional.dropout(x_183, 0.0, False, False)
+        x_183 = None
+        x_185 = torch.nn.functional.layer_norm(
+            x_184,
+            (1792,),
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_184 = (
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_ = None
+        x_186 = x_179 + x_185
+        x_179 = x_185 = None
+        qkv_bias_14 = torch.cat(
+            (
+                l_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_ = None
+        qkv_28 = torch._C._nn.linear(
+            x_186,
+            weight=l_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_14,
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_14
+        ) = None
+        reshape_28 = qkv_28.reshape(1, 257, 3, 16, -1)
+        qkv_28 = None
+        qkv_29 = reshape_28.permute(2, 0, 3, 1, 4)
+        reshape_28 = None
+        unbind_14 = qkv_29.unbind(0)
+        qkv_29 = None
+        q_14 = unbind_14[0]
+        k_14 = unbind_14[1]
+        v_14 = unbind_14[2]
+        unbind_14 = None
+        x_187 = torch._C._nn.scaled_dot_product_attention(
+            q_14, k_14, v_14, attn_mask=None, dropout_p=0.0
+        )
+        q_14 = k_14 = v_14 = None
+        transpose_15 = x_187.transpose(1, 2)
+        x_187 = None
+        x_188 = transpose_15.reshape(1, 257, 1792)
+        transpose_15 = None
+        x_189 = torch._C._nn.linear(
+            x_188,
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_188 = l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_190 = torch.nn.functional.dropout(x_189, 0.0, False, False)
+        x_189 = None
+        x_191 = torch.nn.functional.layer_norm(
+            x_190,
+            (1792,),
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_190 = (
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_ = None
+        x_192 = x_186 + x_191
+        x_186 = x_191 = None
+        x_193 = torch._C._nn.linear(
+            x_192,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_194 = torch._C._nn.gelu(x_193, approximate="none")
+        x_193 = None
+        x_195 = torch.nn.functional.dropout(x_194, 0.0, False, False)
+        x_194 = None
+        x_196 = torch._C._nn.linear(
+            x_195,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_195 = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_197 = torch.nn.functional.dropout(x_196, 0.0, False, False)
+        x_196 = None
+        x_198 = torch.nn.functional.layer_norm(
+            x_197,
+            (1792,),
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_197 = (
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_ = None
+        x_199 = x_192 + x_198
+        x_192 = x_198 = None
+        qkv_bias_15 = torch.cat(
+            (
+                l_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_ = None
+        qkv_30 = torch._C._nn.linear(
+            x_199,
+            weight=l_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_15,
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_15
+        ) = None
+        reshape_30 = qkv_30.reshape(1, 257, 3, 16, -1)
+        qkv_30 = None
+        qkv_31 = reshape_30.permute(2, 0, 3, 1, 4)
+        reshape_30 = None
+        unbind_15 = qkv_31.unbind(0)
+        qkv_31 = None
+        q_15 = unbind_15[0]
+        k_15 = unbind_15[1]
+        v_15 = unbind_15[2]
+        unbind_15 = None
+        x_200 = torch._C._nn.scaled_dot_product_attention(
+            q_15, k_15, v_15, attn_mask=None, dropout_p=0.0
+        )
+        q_15 = k_15 = v_15 = None
+        transpose_16 = x_200.transpose(1, 2)
+        x_200 = None
+        x_201 = transpose_16.reshape(1, 257, 1792)
+        transpose_16 = None
+        x_202 = torch._C._nn.linear(
+            x_201,
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_201 = l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_203 = torch.nn.functional.dropout(x_202, 0.0, False, False)
+        x_202 = None
+        x_204 = torch.nn.functional.layer_norm(
+            x_203,
+            (1792,),
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_203 = (
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_ = None
+        x_205 = x_199 + x_204
+        x_199 = x_204 = None
+        x_206 = torch._C._nn.linear(
+            x_205,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_207 = torch._C._nn.gelu(x_206, approximate="none")
+        x_206 = None
+        x_208 = torch.nn.functional.dropout(x_207, 0.0, False, False)
+        x_207 = None
+        x_209 = torch._C._nn.linear(
+            x_208,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_208 = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_210 = torch.nn.functional.dropout(x_209, 0.0, False, False)
+        x_209 = None
+        x_211 = torch.nn.functional.layer_norm(
+            x_210,
+            (1792,),
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_210 = (
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_ = None
+        x_212 = x_205 + x_211
+        x_205 = x_211 = None
+        qkv_bias_16 = torch.cat(
+            (
+                l_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_ = None
+        qkv_32 = torch._C._nn.linear(
+            x_212,
+            weight=l_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_16,
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_16
+        ) = None
+        reshape_32 = qkv_32.reshape(1, 257, 3, 16, -1)
+        qkv_32 = None
+        qkv_33 = reshape_32.permute(2, 0, 3, 1, 4)
+        reshape_32 = None
+        unbind_16 = qkv_33.unbind(0)
+        qkv_33 = None
+        q_16 = unbind_16[0]
+        k_16 = unbind_16[1]
+        v_16 = unbind_16[2]
+        unbind_16 = None
+        x_213 = torch._C._nn.scaled_dot_product_attention(
+            q_16, k_16, v_16, attn_mask=None, dropout_p=0.0
+        )
+        q_16 = k_16 = v_16 = None
+        transpose_17 = x_213.transpose(1, 2)
+        x_213 = None
+        x_214 = transpose_17.reshape(1, 257, 1792)
+        transpose_17 = None
+        x_215 = torch._C._nn.linear(
+            x_214,
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_214 = l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_216 = torch.nn.functional.dropout(x_215, 0.0, False, False)
+        x_215 = None
+        x_217 = torch.nn.functional.layer_norm(
+            x_216,
+            (1792,),
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_216 = (
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_ = None
+        x_218 = x_212 + x_217
+        x_212 = x_217 = None
+        x_219 = torch._C._nn.linear(
+            x_218,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_220 = torch._C._nn.gelu(x_219, approximate="none")
+        x_219 = None
+        x_221 = torch.nn.functional.dropout(x_220, 0.0, False, False)
+        x_220 = None
+        x_222 = torch._C._nn.linear(
+            x_221,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_221 = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_223 = torch.nn.functional.dropout(x_222, 0.0, False, False)
+        x_222 = None
+        x_224 = torch.nn.functional.layer_norm(
+            x_223,
+            (1792,),
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_223 = (
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_ = None
+        x_225 = x_218 + x_224
+        x_218 = x_224 = None
+        qkv_bias_17 = torch.cat(
+            (
+                l_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_ = None
+        qkv_34 = torch._C._nn.linear(
+            x_225,
+            weight=l_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_17,
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_17
+        ) = None
+        reshape_34 = qkv_34.reshape(1, 257, 3, 16, -1)
+        qkv_34 = None
+        qkv_35 = reshape_34.permute(2, 0, 3, 1, 4)
+        reshape_34 = None
+        unbind_17 = qkv_35.unbind(0)
+        qkv_35 = None
+        q_17 = unbind_17[0]
+        k_17 = unbind_17[1]
+        v_17 = unbind_17[2]
+        unbind_17 = None
+        x_226 = torch._C._nn.scaled_dot_product_attention(
+            q_17, k_17, v_17, attn_mask=None, dropout_p=0.0
+        )
+        q_17 = k_17 = v_17 = None
+        transpose_18 = x_226.transpose(1, 2)
+        x_226 = None
+        x_227 = transpose_18.reshape(1, 257, 1792)
+        transpose_18 = None
+        x_228 = torch._C._nn.linear(
+            x_227,
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_227 = l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_229 = torch.nn.functional.dropout(x_228, 0.0, False, False)
+        x_228 = None
+        x_230 = torch.nn.functional.layer_norm(
+            x_229,
+            (1792,),
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_229 = (
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_ = None
+        x_231 = x_225 + x_230
+        x_225 = x_230 = None
+        x_232 = torch._C._nn.linear(
+            x_231,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_233 = torch._C._nn.gelu(x_232, approximate="none")
+        x_232 = None
+        x_234 = torch.nn.functional.dropout(x_233, 0.0, False, False)
+        x_233 = None
+        x_235 = torch._C._nn.linear(
+            x_234,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_234 = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_236 = torch.nn.functional.dropout(x_235, 0.0, False, False)
+        x_235 = None
+        x_237 = torch.nn.functional.layer_norm(
+            x_236,
+            (1792,),
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_236 = (
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_ = None
+        x_238 = x_231 + x_237
+        x_231 = x_237 = None
+        qkv_bias_18 = torch.cat(
+            (
+                l_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_ = None
+        qkv_36 = torch._C._nn.linear(
+            x_238,
+            weight=l_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_18,
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_18
+        ) = None
+        reshape_36 = qkv_36.reshape(1, 257, 3, 16, -1)
+        qkv_36 = None
+        qkv_37 = reshape_36.permute(2, 0, 3, 1, 4)
+        reshape_36 = None
+        unbind_18 = qkv_37.unbind(0)
+        qkv_37 = None
+        q_18 = unbind_18[0]
+        k_18 = unbind_18[1]
+        v_18 = unbind_18[2]
+        unbind_18 = None
+        x_239 = torch._C._nn.scaled_dot_product_attention(
+            q_18, k_18, v_18, attn_mask=None, dropout_p=0.0
+        )
+        q_18 = k_18 = v_18 = None
+        transpose_19 = x_239.transpose(1, 2)
+        x_239 = None
+        x_240 = transpose_19.reshape(1, 257, 1792)
+        transpose_19 = None
+        x_241 = torch._C._nn.linear(
+            x_240,
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_240 = l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_242 = torch.nn.functional.dropout(x_241, 0.0, False, False)
+        x_241 = None
+        x_243 = torch.nn.functional.layer_norm(
+            x_242,
+            (1792,),
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_242 = (
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_ = None
+        x_244 = x_238 + x_243
+        x_238 = x_243 = None
+        x_245 = torch._C._nn.linear(
+            x_244,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_246 = torch._C._nn.gelu(x_245, approximate="none")
+        x_245 = None
+        x_247 = torch.nn.functional.dropout(x_246, 0.0, False, False)
+        x_246 = None
+        x_248 = torch._C._nn.linear(
+            x_247,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_247 = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_249 = torch.nn.functional.dropout(x_248, 0.0, False, False)
+        x_248 = None
+        x_250 = torch.nn.functional.layer_norm(
+            x_249,
+            (1792,),
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_249 = (
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_ = None
+        x_251 = x_244 + x_250
+        x_244 = x_250 = None
+        qkv_bias_19 = torch.cat(
+            (
+                l_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_ = None
+        qkv_38 = torch._C._nn.linear(
+            x_251,
+            weight=l_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_19,
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_19
+        ) = None
+        reshape_38 = qkv_38.reshape(1, 257, 3, 16, -1)
+        qkv_38 = None
+        qkv_39 = reshape_38.permute(2, 0, 3, 1, 4)
+        reshape_38 = None
+        unbind_19 = qkv_39.unbind(0)
+        qkv_39 = None
+        q_19 = unbind_19[0]
+        k_19 = unbind_19[1]
+        v_19 = unbind_19[2]
+        unbind_19 = None
+        x_252 = torch._C._nn.scaled_dot_product_attention(
+            q_19, k_19, v_19, attn_mask=None, dropout_p=0.0
+        )
+        q_19 = k_19 = v_19 = None
+        transpose_20 = x_252.transpose(1, 2)
+        x_252 = None
+        x_253 = transpose_20.reshape(1, 257, 1792)
+        transpose_20 = None
+        x_254 = torch._C._nn.linear(
+            x_253,
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_253 = l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_255 = torch.nn.functional.dropout(x_254, 0.0, False, False)
+        x_254 = None
+        x_256 = torch.nn.functional.layer_norm(
+            x_255,
+            (1792,),
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_255 = (
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_ = None
+        x_257 = x_251 + x_256
+        x_251 = x_256 = None
+        x_258 = torch._C._nn.linear(
+            x_257,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_259 = torch._C._nn.gelu(x_258, approximate="none")
+        x_258 = None
+        x_260 = torch.nn.functional.dropout(x_259, 0.0, False, False)
+        x_259 = None
+        x_261 = torch._C._nn.linear(
+            x_260,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_260 = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_262 = torch.nn.functional.dropout(x_261, 0.0, False, False)
+        x_261 = None
+        x_263 = torch.nn.functional.layer_norm(
+            x_262,
+            (1792,),
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_262 = (
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_ = None
+        x_264 = x_257 + x_263
+        x_257 = x_263 = None
+        qkv_bias_20 = torch.cat(
+            (
+                l_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_ = None
+        qkv_40 = torch._C._nn.linear(
+            x_264,
+            weight=l_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_20,
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_20
+        ) = None
+        reshape_40 = qkv_40.reshape(1, 257, 3, 16, -1)
+        qkv_40 = None
+        qkv_41 = reshape_40.permute(2, 0, 3, 1, 4)
+        reshape_40 = None
+        unbind_20 = qkv_41.unbind(0)
+        qkv_41 = None
+        q_20 = unbind_20[0]
+        k_20 = unbind_20[1]
+        v_20 = unbind_20[2]
+        unbind_20 = None
+        x_265 = torch._C._nn.scaled_dot_product_attention(
+            q_20, k_20, v_20, attn_mask=None, dropout_p=0.0
+        )
+        q_20 = k_20 = v_20 = None
+        transpose_21 = x_265.transpose(1, 2)
+        x_265 = None
+        x_266 = transpose_21.reshape(1, 257, 1792)
+        transpose_21 = None
+        x_267 = torch._C._nn.linear(
+            x_266,
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_266 = l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_268 = torch.nn.functional.dropout(x_267, 0.0, False, False)
+        x_267 = None
+        x_269 = torch.nn.functional.layer_norm(
+            x_268,
+            (1792,),
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_268 = (
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_ = None
+        x_270 = x_264 + x_269
+        x_264 = x_269 = None
+        x_271 = torch._C._nn.linear(
+            x_270,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_272 = torch._C._nn.gelu(x_271, approximate="none")
+        x_271 = None
+        x_273 = torch.nn.functional.dropout(x_272, 0.0, False, False)
+        x_272 = None
+        x_274 = torch._C._nn.linear(
+            x_273,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_273 = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_275 = torch.nn.functional.dropout(x_274, 0.0, False, False)
+        x_274 = None
+        x_276 = torch.nn.functional.layer_norm(
+            x_275,
+            (1792,),
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_275 = (
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_ = None
+        x_277 = x_270 + x_276
+        x_270 = x_276 = None
+        qkv_bias_21 = torch.cat(
+            (
+                l_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_ = None
+        qkv_42 = torch._C._nn.linear(
+            x_277,
+            weight=l_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_21,
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_21
+        ) = None
+        reshape_42 = qkv_42.reshape(1, 257, 3, 16, -1)
+        qkv_42 = None
+        qkv_43 = reshape_42.permute(2, 0, 3, 1, 4)
+        reshape_42 = None
+        unbind_21 = qkv_43.unbind(0)
+        qkv_43 = None
+        q_21 = unbind_21[0]
+        k_21 = unbind_21[1]
+        v_21 = unbind_21[2]
+        unbind_21 = None
+        x_278 = torch._C._nn.scaled_dot_product_attention(
+            q_21, k_21, v_21, attn_mask=None, dropout_p=0.0
+        )
+        q_21 = k_21 = v_21 = None
+        transpose_22 = x_278.transpose(1, 2)
+        x_278 = None
+        x_279 = transpose_22.reshape(1, 257, 1792)
+        transpose_22 = None
+        x_280 = torch._C._nn.linear(
+            x_279,
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_279 = l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_281 = torch.nn.functional.dropout(x_280, 0.0, False, False)
+        x_280 = None
+        x_282 = torch.nn.functional.layer_norm(
+            x_281,
+            (1792,),
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_281 = (
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_ = None
+        x_283 = x_277 + x_282
+        x_277 = x_282 = None
+        x_284 = torch._C._nn.linear(
+            x_283,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_285 = torch._C._nn.gelu(x_284, approximate="none")
+        x_284 = None
+        x_286 = torch.nn.functional.dropout(x_285, 0.0, False, False)
+        x_285 = None
+        x_287 = torch._C._nn.linear(
+            x_286,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_286 = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_288 = torch.nn.functional.dropout(x_287, 0.0, False, False)
+        x_287 = None
+        x_289 = torch.nn.functional.layer_norm(
+            x_288,
+            (1792,),
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_288 = (
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_ = None
+        x_290 = x_283 + x_289
+        x_283 = x_289 = None
+        qkv_bias_22 = torch.cat(
+            (
+                l_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_ = None
+        qkv_44 = torch._C._nn.linear(
+            x_290,
+            weight=l_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_22,
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_22
+        ) = None
+        reshape_44 = qkv_44.reshape(1, 257, 3, 16, -1)
+        qkv_44 = None
+        qkv_45 = reshape_44.permute(2, 0, 3, 1, 4)
+        reshape_44 = None
+        unbind_22 = qkv_45.unbind(0)
+        qkv_45 = None
+        q_22 = unbind_22[0]
+        k_22 = unbind_22[1]
+        v_22 = unbind_22[2]
+        unbind_22 = None
+        x_291 = torch._C._nn.scaled_dot_product_attention(
+            q_22, k_22, v_22, attn_mask=None, dropout_p=0.0
+        )
+        q_22 = k_22 = v_22 = None
+        transpose_23 = x_291.transpose(1, 2)
+        x_291 = None
+        x_292 = transpose_23.reshape(1, 257, 1792)
+        transpose_23 = None
+        x_293 = torch._C._nn.linear(
+            x_292,
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_292 = l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_294 = torch.nn.functional.dropout(x_293, 0.0, False, False)
+        x_293 = None
+        x_295 = torch.nn.functional.layer_norm(
+            x_294,
+            (1792,),
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_294 = (
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_ = None
+        x_296 = x_290 + x_295
+        x_290 = x_295 = None
+        x_297 = torch._C._nn.linear(
+            x_296,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_298 = torch._C._nn.gelu(x_297, approximate="none")
+        x_297 = None
+        x_299 = torch.nn.functional.dropout(x_298, 0.0, False, False)
+        x_298 = None
+        x_300 = torch._C._nn.linear(
+            x_299,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_299 = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_301 = torch.nn.functional.dropout(x_300, 0.0, False, False)
+        x_300 = None
+        x_302 = torch.nn.functional.layer_norm(
+            x_301,
+            (1792,),
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_301 = (
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_ = None
+        x_303 = x_296 + x_302
+        x_296 = x_302 = None
+        qkv_bias_23 = torch.cat(
+            (
+                l_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_ = None
+        qkv_46 = torch._C._nn.linear(
+            x_303,
+            weight=l_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_23,
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_23
+        ) = None
+        reshape_46 = qkv_46.reshape(1, 257, 3, 16, -1)
+        qkv_46 = None
+        qkv_47 = reshape_46.permute(2, 0, 3, 1, 4)
+        reshape_46 = None
+        unbind_23 = qkv_47.unbind(0)
+        qkv_47 = None
+        q_23 = unbind_23[0]
+        k_23 = unbind_23[1]
+        v_23 = unbind_23[2]
+        unbind_23 = None
+        x_304 = torch._C._nn.scaled_dot_product_attention(
+            q_23, k_23, v_23, attn_mask=None, dropout_p=0.0
+        )
+        q_23 = k_23 = v_23 = None
+        transpose_24 = x_304.transpose(1, 2)
+        x_304 = None
+        x_305 = transpose_24.reshape(1, 257, 1792)
+        transpose_24 = None
+        x_306 = torch._C._nn.linear(
+            x_305,
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_305 = l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_307 = torch.nn.functional.dropout(x_306, 0.0, False, False)
+        x_306 = None
+        x_308 = torch.nn.functional.layer_norm(
+            x_307,
+            (1792,),
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_307 = (
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_ = None
+        x_309 = x_303 + x_308
+        x_303 = x_308 = None
+        x_310 = torch._C._nn.linear(
+            x_309,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_311 = torch._C._nn.gelu(x_310, approximate="none")
+        x_310 = None
+        x_312 = torch.nn.functional.dropout(x_311, 0.0, False, False)
+        x_311 = None
+        x_313 = torch._C._nn.linear(
+            x_312,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_312 = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_314 = torch.nn.functional.dropout(x_313, 0.0, False, False)
+        x_313 = None
+        x_315 = torch.nn.functional.layer_norm(
+            x_314,
+            (1792,),
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_314 = (
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_ = None
+        x_316 = x_309 + x_315
+        x_309 = x_315 = None
+        qkv_bias_24 = torch.cat(
+            (
+                l_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_ = None
+        qkv_48 = torch._C._nn.linear(
+            x_316,
+            weight=l_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_24,
+        )
+        l_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_24
+        ) = None
+        reshape_48 = qkv_48.reshape(1, 257, 3, 16, -1)
+        qkv_48 = None
+        qkv_49 = reshape_48.permute(2, 0, 3, 1, 4)
+        reshape_48 = None
+        unbind_24 = qkv_49.unbind(0)
+        qkv_49 = None
+        q_24 = unbind_24[0]
+        k_24 = unbind_24[1]
+        v_24 = unbind_24[2]
+        unbind_24 = None
+        x_317 = torch._C._nn.scaled_dot_product_attention(
+            q_24, k_24, v_24, attn_mask=None, dropout_p=0.0
+        )
+        q_24 = k_24 = v_24 = None
+        transpose_25 = x_317.transpose(1, 2)
+        x_317 = None
+        x_318 = transpose_25.reshape(1, 257, 1792)
+        transpose_25 = None
+        x_319 = torch._C._nn.linear(
+            x_318,
+            l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_318 = l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_320 = torch.nn.functional.dropout(x_319, 0.0, False, False)
+        x_319 = None
+        x_321 = torch.nn.functional.layer_norm(
+            x_320,
+            (1792,),
+            l_self_modules_blocks_modules_24_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_320 = (
+            l_self_modules_blocks_modules_24_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_24_modules_norm1_parameters_bias_ = None
+        x_322 = x_316 + x_321
+        x_316 = x_321 = None
+        x_323 = torch._C._nn.linear(
+            x_322,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_324 = torch._C._nn.gelu(x_323, approximate="none")
+        x_323 = None
+        x_325 = torch.nn.functional.dropout(x_324, 0.0, False, False)
+        x_324 = None
+        x_326 = torch._C._nn.linear(
+            x_325,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_325 = (
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_327 = torch.nn.functional.dropout(x_326, 0.0, False, False)
+        x_326 = None
+        x_328 = torch.nn.functional.layer_norm(
+            x_327,
+            (1792,),
+            l_self_modules_blocks_modules_24_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_327 = (
+            l_self_modules_blocks_modules_24_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_24_modules_norm2_parameters_bias_ = None
+        x_329 = x_322 + x_328
+        x_322 = x_328 = None
+        qkv_bias_25 = torch.cat(
+            (
+                l_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_ = None
+        qkv_50 = torch._C._nn.linear(
+            x_329,
+            weight=l_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_25,
+        )
+        l_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_25
+        ) = None
+        reshape_50 = qkv_50.reshape(1, 257, 3, 16, -1)
+        qkv_50 = None
+        qkv_51 = reshape_50.permute(2, 0, 3, 1, 4)
+        reshape_50 = None
+        unbind_25 = qkv_51.unbind(0)
+        qkv_51 = None
+        q_25 = unbind_25[0]
+        k_25 = unbind_25[1]
+        v_25 = unbind_25[2]
+        unbind_25 = None
+        x_330 = torch._C._nn.scaled_dot_product_attention(
+            q_25, k_25, v_25, attn_mask=None, dropout_p=0.0
+        )
+        q_25 = k_25 = v_25 = None
+        transpose_26 = x_330.transpose(1, 2)
+        x_330 = None
+        x_331 = transpose_26.reshape(1, 257, 1792)
+        transpose_26 = None
+        x_332 = torch._C._nn.linear(
+            x_331,
+            l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_331 = l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_333 = torch.nn.functional.dropout(x_332, 0.0, False, False)
+        x_332 = None
+        x_334 = torch.nn.functional.layer_norm(
+            x_333,
+            (1792,),
+            l_self_modules_blocks_modules_25_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_333 = (
+            l_self_modules_blocks_modules_25_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_25_modules_norm1_parameters_bias_ = None
+        x_335 = x_329 + x_334
+        x_329 = x_334 = None
+        x_336 = torch._C._nn.linear(
+            x_335,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_337 = torch._C._nn.gelu(x_336, approximate="none")
+        x_336 = None
+        x_338 = torch.nn.functional.dropout(x_337, 0.0, False, False)
+        x_337 = None
+        x_339 = torch._C._nn.linear(
+            x_338,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_338 = (
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_340 = torch.nn.functional.dropout(x_339, 0.0, False, False)
+        x_339 = None
+        x_341 = torch.nn.functional.layer_norm(
+            x_340,
+            (1792,),
+            l_self_modules_blocks_modules_25_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_340 = (
+            l_self_modules_blocks_modules_25_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_25_modules_norm2_parameters_bias_ = None
+        x_342 = x_335 + x_341
+        x_335 = x_341 = None
+        qkv_bias_26 = torch.cat(
+            (
+                l_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_ = None
+        qkv_52 = torch._C._nn.linear(
+            x_342,
+            weight=l_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_26,
+        )
+        l_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_26
+        ) = None
+        reshape_52 = qkv_52.reshape(1, 257, 3, 16, -1)
+        qkv_52 = None
+        qkv_53 = reshape_52.permute(2, 0, 3, 1, 4)
+        reshape_52 = None
+        unbind_26 = qkv_53.unbind(0)
+        qkv_53 = None
+        q_26 = unbind_26[0]
+        k_26 = unbind_26[1]
+        v_26 = unbind_26[2]
+        unbind_26 = None
+        x_343 = torch._C._nn.scaled_dot_product_attention(
+            q_26, k_26, v_26, attn_mask=None, dropout_p=0.0
+        )
+        q_26 = k_26 = v_26 = None
+        transpose_27 = x_343.transpose(1, 2)
+        x_343 = None
+        x_344 = transpose_27.reshape(1, 257, 1792)
+        transpose_27 = None
+        x_345 = torch._C._nn.linear(
+            x_344,
+            l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_344 = l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_346 = torch.nn.functional.dropout(x_345, 0.0, False, False)
+        x_345 = None
+        x_347 = torch.nn.functional.layer_norm(
+            x_346,
+            (1792,),
+            l_self_modules_blocks_modules_26_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_346 = (
+            l_self_modules_blocks_modules_26_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_26_modules_norm1_parameters_bias_ = None
+        x_348 = x_342 + x_347
+        x_342 = x_347 = None
+        x_349 = torch._C._nn.linear(
+            x_348,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_350 = torch._C._nn.gelu(x_349, approximate="none")
+        x_349 = None
+        x_351 = torch.nn.functional.dropout(x_350, 0.0, False, False)
+        x_350 = None
+        x_352 = torch._C._nn.linear(
+            x_351,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_351 = (
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_353 = torch.nn.functional.dropout(x_352, 0.0, False, False)
+        x_352 = None
+        x_354 = torch.nn.functional.layer_norm(
+            x_353,
+            (1792,),
+            l_self_modules_blocks_modules_26_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_353 = (
+            l_self_modules_blocks_modules_26_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_26_modules_norm2_parameters_bias_ = None
+        x_355 = x_348 + x_354
+        x_348 = x_354 = None
+        qkv_bias_27 = torch.cat(
+            (
+                l_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_ = None
+        qkv_54 = torch._C._nn.linear(
+            x_355,
+            weight=l_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_27,
+        )
+        l_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_27
+        ) = None
+        reshape_54 = qkv_54.reshape(1, 257, 3, 16, -1)
+        qkv_54 = None
+        qkv_55 = reshape_54.permute(2, 0, 3, 1, 4)
+        reshape_54 = None
+        unbind_27 = qkv_55.unbind(0)
+        qkv_55 = None
+        q_27 = unbind_27[0]
+        k_27 = unbind_27[1]
+        v_27 = unbind_27[2]
+        unbind_27 = None
+        x_356 = torch._C._nn.scaled_dot_product_attention(
+            q_27, k_27, v_27, attn_mask=None, dropout_p=0.0
+        )
+        q_27 = k_27 = v_27 = None
+        transpose_28 = x_356.transpose(1, 2)
+        x_356 = None
+        x_357 = transpose_28.reshape(1, 257, 1792)
+        transpose_28 = None
+        x_358 = torch._C._nn.linear(
+            x_357,
+            l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_357 = l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_359 = torch.nn.functional.dropout(x_358, 0.0, False, False)
+        x_358 = None
+        x_360 = torch.nn.functional.layer_norm(
+            x_359,
+            (1792,),
+            l_self_modules_blocks_modules_27_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_359 = (
+            l_self_modules_blocks_modules_27_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_27_modules_norm1_parameters_bias_ = None
+        x_361 = x_355 + x_360
+        x_355 = x_360 = None
+        x_362 = torch._C._nn.linear(
+            x_361,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_363 = torch._C._nn.gelu(x_362, approximate="none")
+        x_362 = None
+        x_364 = torch.nn.functional.dropout(x_363, 0.0, False, False)
+        x_363 = None
+        x_365 = torch._C._nn.linear(
+            x_364,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_364 = (
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_366 = torch.nn.functional.dropout(x_365, 0.0, False, False)
+        x_365 = None
+        x_367 = torch.nn.functional.layer_norm(
+            x_366,
+            (1792,),
+            l_self_modules_blocks_modules_27_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_366 = (
+            l_self_modules_blocks_modules_27_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_27_modules_norm2_parameters_bias_ = None
+        x_368 = x_361 + x_367
+        x_361 = x_367 = None
+        qkv_bias_28 = torch.cat(
+            (
+                l_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_ = None
+        qkv_56 = torch._C._nn.linear(
+            x_368,
+            weight=l_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_28,
+        )
+        l_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_28
+        ) = None
+        reshape_56 = qkv_56.reshape(1, 257, 3, 16, -1)
+        qkv_56 = None
+        qkv_57 = reshape_56.permute(2, 0, 3, 1, 4)
+        reshape_56 = None
+        unbind_28 = qkv_57.unbind(0)
+        qkv_57 = None
+        q_28 = unbind_28[0]
+        k_28 = unbind_28[1]
+        v_28 = unbind_28[2]
+        unbind_28 = None
+        x_369 = torch._C._nn.scaled_dot_product_attention(
+            q_28, k_28, v_28, attn_mask=None, dropout_p=0.0
+        )
+        q_28 = k_28 = v_28 = None
+        transpose_29 = x_369.transpose(1, 2)
+        x_369 = None
+        x_370 = transpose_29.reshape(1, 257, 1792)
+        transpose_29 = None
+        x_371 = torch._C._nn.linear(
+            x_370,
+            l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_370 = l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_372 = torch.nn.functional.dropout(x_371, 0.0, False, False)
+        x_371 = None
+        x_373 = torch.nn.functional.layer_norm(
+            x_372,
+            (1792,),
+            l_self_modules_blocks_modules_28_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_372 = (
+            l_self_modules_blocks_modules_28_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_28_modules_norm1_parameters_bias_ = None
+        x_374 = x_368 + x_373
+        x_368 = x_373 = None
+        x_375 = torch._C._nn.linear(
+            x_374,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_376 = torch._C._nn.gelu(x_375, approximate="none")
+        x_375 = None
+        x_377 = torch.nn.functional.dropout(x_376, 0.0, False, False)
+        x_376 = None
+        x_378 = torch._C._nn.linear(
+            x_377,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_377 = (
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_379 = torch.nn.functional.dropout(x_378, 0.0, False, False)
+        x_378 = None
+        x_380 = torch.nn.functional.layer_norm(
+            x_379,
+            (1792,),
+            l_self_modules_blocks_modules_28_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_379 = (
+            l_self_modules_blocks_modules_28_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_28_modules_norm2_parameters_bias_ = None
+        x_381 = x_374 + x_380
+        x_374 = x_380 = None
+        qkv_bias_29 = torch.cat(
+            (
+                l_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_ = None
+        qkv_58 = torch._C._nn.linear(
+            x_381,
+            weight=l_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_29,
+        )
+        l_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_29
+        ) = None
+        reshape_58 = qkv_58.reshape(1, 257, 3, 16, -1)
+        qkv_58 = None
+        qkv_59 = reshape_58.permute(2, 0, 3, 1, 4)
+        reshape_58 = None
+        unbind_29 = qkv_59.unbind(0)
+        qkv_59 = None
+        q_29 = unbind_29[0]
+        k_29 = unbind_29[1]
+        v_29 = unbind_29[2]
+        unbind_29 = None
+        x_382 = torch._C._nn.scaled_dot_product_attention(
+            q_29, k_29, v_29, attn_mask=None, dropout_p=0.0
+        )
+        q_29 = k_29 = v_29 = None
+        transpose_30 = x_382.transpose(1, 2)
+        x_382 = None
+        x_383 = transpose_30.reshape(1, 257, 1792)
+        transpose_30 = None
+        x_384 = torch._C._nn.linear(
+            x_383,
+            l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_383 = l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_385 = torch.nn.functional.dropout(x_384, 0.0, False, False)
+        x_384 = None
+        x_386 = torch.nn.functional.layer_norm(
+            x_385,
+            (1792,),
+            l_self_modules_blocks_modules_29_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_385 = (
+            l_self_modules_blocks_modules_29_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_29_modules_norm1_parameters_bias_ = None
+        x_387 = x_381 + x_386
+        x_381 = x_386 = None
+        x_388 = torch._C._nn.linear(
+            x_387,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_389 = torch._C._nn.gelu(x_388, approximate="none")
+        x_388 = None
+        x_390 = torch.nn.functional.dropout(x_389, 0.0, False, False)
+        x_389 = None
+        x_391 = torch._C._nn.linear(
+            x_390,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_390 = (
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_392 = torch.nn.functional.dropout(x_391, 0.0, False, False)
+        x_391 = None
+        x_393 = torch.nn.functional.layer_norm(
+            x_392,
+            (1792,),
+            l_self_modules_blocks_modules_29_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_392 = (
+            l_self_modules_blocks_modules_29_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_29_modules_norm2_parameters_bias_ = None
+        x_394 = x_387 + x_393
+        x_387 = x_393 = None
+        qkv_bias_30 = torch.cat(
+            (
+                l_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_ = None
+        qkv_60 = torch._C._nn.linear(
+            x_394,
+            weight=l_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_30,
+        )
+        l_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_30
+        ) = None
+        reshape_60 = qkv_60.reshape(1, 257, 3, 16, -1)
+        qkv_60 = None
+        qkv_61 = reshape_60.permute(2, 0, 3, 1, 4)
+        reshape_60 = None
+        unbind_30 = qkv_61.unbind(0)
+        qkv_61 = None
+        q_30 = unbind_30[0]
+        k_30 = unbind_30[1]
+        v_30 = unbind_30[2]
+        unbind_30 = None
+        x_395 = torch._C._nn.scaled_dot_product_attention(
+            q_30, k_30, v_30, attn_mask=None, dropout_p=0.0
+        )
+        q_30 = k_30 = v_30 = None
+        transpose_31 = x_395.transpose(1, 2)
+        x_395 = None
+        x_396 = transpose_31.reshape(1, 257, 1792)
+        transpose_31 = None
+        x_397 = torch._C._nn.linear(
+            x_396,
+            l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_396 = l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_398 = torch.nn.functional.dropout(x_397, 0.0, False, False)
+        x_397 = None
+        x_399 = torch.nn.functional.layer_norm(
+            x_398,
+            (1792,),
+            l_self_modules_blocks_modules_30_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_398 = (
+            l_self_modules_blocks_modules_30_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_30_modules_norm1_parameters_bias_ = None
+        x_400 = x_394 + x_399
+        x_394 = x_399 = None
+        x_401 = torch._C._nn.linear(
+            x_400,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_402 = torch._C._nn.gelu(x_401, approximate="none")
+        x_401 = None
+        x_403 = torch.nn.functional.dropout(x_402, 0.0, False, False)
+        x_402 = None
+        x_404 = torch._C._nn.linear(
+            x_403,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_403 = (
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_405 = torch.nn.functional.dropout(x_404, 0.0, False, False)
+        x_404 = None
+        x_406 = torch.nn.functional.layer_norm(
+            x_405,
+            (1792,),
+            l_self_modules_blocks_modules_30_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_405 = (
+            l_self_modules_blocks_modules_30_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_30_modules_norm2_parameters_bias_ = None
+        x_407 = x_400 + x_406
+        x_400 = x_406 = None
+        qkv_bias_31 = torch.cat(
+            (
+                l_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_ = None
+        qkv_62 = torch._C._nn.linear(
+            x_407,
+            weight=l_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_31,
+        )
+        l_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_31
+        ) = None
+        reshape_62 = qkv_62.reshape(1, 257, 3, 16, -1)
+        qkv_62 = None
+        qkv_63 = reshape_62.permute(2, 0, 3, 1, 4)
+        reshape_62 = None
+        unbind_31 = qkv_63.unbind(0)
+        qkv_63 = None
+        q_31 = unbind_31[0]
+        k_31 = unbind_31[1]
+        v_31 = unbind_31[2]
+        unbind_31 = None
+        x_408 = torch._C._nn.scaled_dot_product_attention(
+            q_31, k_31, v_31, attn_mask=None, dropout_p=0.0
+        )
+        q_31 = k_31 = v_31 = None
+        transpose_32 = x_408.transpose(1, 2)
+        x_408 = None
+        x_409 = transpose_32.reshape(1, 257, 1792)
+        transpose_32 = None
+        x_410 = torch._C._nn.linear(
+            x_409,
+            l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_409 = l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_411 = torch.nn.functional.dropout(x_410, 0.0, False, False)
+        x_410 = None
+        x_412 = torch.nn.functional.layer_norm(
+            x_411,
+            (1792,),
+            l_self_modules_blocks_modules_31_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_411 = (
+            l_self_modules_blocks_modules_31_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_31_modules_norm1_parameters_bias_ = None
+        x_413 = x_407 + x_412
+        x_407 = x_412 = None
+        x_414 = torch._C._nn.linear(
+            x_413,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_415 = torch._C._nn.gelu(x_414, approximate="none")
+        x_414 = None
+        x_416 = torch.nn.functional.dropout(x_415, 0.0, False, False)
+        x_415 = None
+        x_417 = torch._C._nn.linear(
+            x_416,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_416 = (
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_418 = torch.nn.functional.dropout(x_417, 0.0, False, False)
+        x_417 = None
+        x_419 = torch.nn.functional.layer_norm(
+            x_418,
+            (1792,),
+            l_self_modules_blocks_modules_31_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_418 = (
+            l_self_modules_blocks_modules_31_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_31_modules_norm2_parameters_bias_ = None
+        x_420 = x_413 + x_419
+        x_413 = x_419 = None
+        qkv_bias_32 = torch.cat(
+            (
+                l_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_ = None
+        qkv_64 = torch._C._nn.linear(
+            x_420,
+            weight=l_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_32,
+        )
+        l_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_32
+        ) = None
+        reshape_64 = qkv_64.reshape(1, 257, 3, 16, -1)
+        qkv_64 = None
+        qkv_65 = reshape_64.permute(2, 0, 3, 1, 4)
+        reshape_64 = None
+        unbind_32 = qkv_65.unbind(0)
+        qkv_65 = None
+        q_32 = unbind_32[0]
+        k_32 = unbind_32[1]
+        v_32 = unbind_32[2]
+        unbind_32 = None
+        x_421 = torch._C._nn.scaled_dot_product_attention(
+            q_32, k_32, v_32, attn_mask=None, dropout_p=0.0
+        )
+        q_32 = k_32 = v_32 = None
+        transpose_33 = x_421.transpose(1, 2)
+        x_421 = None
+        x_422 = transpose_33.reshape(1, 257, 1792)
+        transpose_33 = None
+        x_423 = torch._C._nn.linear(
+            x_422,
+            l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_422 = l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_424 = torch.nn.functional.dropout(x_423, 0.0, False, False)
+        x_423 = None
+        x_425 = torch.nn.functional.layer_norm(
+            x_424,
+            (1792,),
+            l_self_modules_blocks_modules_32_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_424 = (
+            l_self_modules_blocks_modules_32_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_32_modules_norm1_parameters_bias_ = None
+        x_426 = x_420 + x_425
+        x_420 = x_425 = None
+        x_427 = torch._C._nn.linear(
+            x_426,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_428 = torch._C._nn.gelu(x_427, approximate="none")
+        x_427 = None
+        x_429 = torch.nn.functional.dropout(x_428, 0.0, False, False)
+        x_428 = None
+        x_430 = torch._C._nn.linear(
+            x_429,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_429 = (
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_431 = torch.nn.functional.dropout(x_430, 0.0, False, False)
+        x_430 = None
+        x_432 = torch.nn.functional.layer_norm(
+            x_431,
+            (1792,),
+            l_self_modules_blocks_modules_32_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_431 = (
+            l_self_modules_blocks_modules_32_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_32_modules_norm2_parameters_bias_ = None
+        x_433 = x_426 + x_432
+        x_426 = x_432 = None
+        qkv_bias_33 = torch.cat(
+            (
+                l_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_ = None
+        qkv_66 = torch._C._nn.linear(
+            x_433,
+            weight=l_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_33,
+        )
+        l_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_33
+        ) = None
+        reshape_66 = qkv_66.reshape(1, 257, 3, 16, -1)
+        qkv_66 = None
+        qkv_67 = reshape_66.permute(2, 0, 3, 1, 4)
+        reshape_66 = None
+        unbind_33 = qkv_67.unbind(0)
+        qkv_67 = None
+        q_33 = unbind_33[0]
+        k_33 = unbind_33[1]
+        v_33 = unbind_33[2]
+        unbind_33 = None
+        x_434 = torch._C._nn.scaled_dot_product_attention(
+            q_33, k_33, v_33, attn_mask=None, dropout_p=0.0
+        )
+        q_33 = k_33 = v_33 = None
+        transpose_34 = x_434.transpose(1, 2)
+        x_434 = None
+        x_435 = transpose_34.reshape(1, 257, 1792)
+        transpose_34 = None
+        x_436 = torch._C._nn.linear(
+            x_435,
+            l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_435 = l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_437 = torch.nn.functional.dropout(x_436, 0.0, False, False)
+        x_436 = None
+        x_438 = torch.nn.functional.layer_norm(
+            x_437,
+            (1792,),
+            l_self_modules_blocks_modules_33_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_437 = (
+            l_self_modules_blocks_modules_33_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_33_modules_norm1_parameters_bias_ = None
+        x_439 = x_433 + x_438
+        x_433 = x_438 = None
+        x_440 = torch._C._nn.linear(
+            x_439,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_441 = torch._C._nn.gelu(x_440, approximate="none")
+        x_440 = None
+        x_442 = torch.nn.functional.dropout(x_441, 0.0, False, False)
+        x_441 = None
+        x_443 = torch._C._nn.linear(
+            x_442,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_442 = (
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_444 = torch.nn.functional.dropout(x_443, 0.0, False, False)
+        x_443 = None
+        x_445 = torch.nn.functional.layer_norm(
+            x_444,
+            (1792,),
+            l_self_modules_blocks_modules_33_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_444 = (
+            l_self_modules_blocks_modules_33_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_33_modules_norm2_parameters_bias_ = None
+        x_446 = x_439 + x_445
+        x_439 = x_445 = None
+        qkv_bias_34 = torch.cat(
+            (
+                l_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_ = None
+        qkv_68 = torch._C._nn.linear(
+            x_446,
+            weight=l_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_34,
+        )
+        l_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_34
+        ) = None
+        reshape_68 = qkv_68.reshape(1, 257, 3, 16, -1)
+        qkv_68 = None
+        qkv_69 = reshape_68.permute(2, 0, 3, 1, 4)
+        reshape_68 = None
+        unbind_34 = qkv_69.unbind(0)
+        qkv_69 = None
+        q_34 = unbind_34[0]
+        k_34 = unbind_34[1]
+        v_34 = unbind_34[2]
+        unbind_34 = None
+        x_447 = torch._C._nn.scaled_dot_product_attention(
+            q_34, k_34, v_34, attn_mask=None, dropout_p=0.0
+        )
+        q_34 = k_34 = v_34 = None
+        transpose_35 = x_447.transpose(1, 2)
+        x_447 = None
+        x_448 = transpose_35.reshape(1, 257, 1792)
+        transpose_35 = None
+        x_449 = torch._C._nn.linear(
+            x_448,
+            l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_448 = l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_450 = torch.nn.functional.dropout(x_449, 0.0, False, False)
+        x_449 = None
+        x_451 = torch.nn.functional.layer_norm(
+            x_450,
+            (1792,),
+            l_self_modules_blocks_modules_34_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_450 = (
+            l_self_modules_blocks_modules_34_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_34_modules_norm1_parameters_bias_ = None
+        x_452 = x_446 + x_451
+        x_446 = x_451 = None
+        x_453 = torch._C._nn.linear(
+            x_452,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_454 = torch._C._nn.gelu(x_453, approximate="none")
+        x_453 = None
+        x_455 = torch.nn.functional.dropout(x_454, 0.0, False, False)
+        x_454 = None
+        x_456 = torch._C._nn.linear(
+            x_455,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_455 = (
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_457 = torch.nn.functional.dropout(x_456, 0.0, False, False)
+        x_456 = None
+        x_458 = torch.nn.functional.layer_norm(
+            x_457,
+            (1792,),
+            l_self_modules_blocks_modules_34_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_457 = (
+            l_self_modules_blocks_modules_34_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_34_modules_norm2_parameters_bias_ = None
+        x_459 = x_452 + x_458
+        x_452 = x_458 = None
+        qkv_bias_35 = torch.cat(
+            (
+                l_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_ = None
+        qkv_70 = torch._C._nn.linear(
+            x_459,
+            weight=l_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_35,
+        )
+        l_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_35
+        ) = None
+        reshape_70 = qkv_70.reshape(1, 257, 3, 16, -1)
+        qkv_70 = None
+        qkv_71 = reshape_70.permute(2, 0, 3, 1, 4)
+        reshape_70 = None
+        unbind_35 = qkv_71.unbind(0)
+        qkv_71 = None
+        q_35 = unbind_35[0]
+        k_35 = unbind_35[1]
+        v_35 = unbind_35[2]
+        unbind_35 = None
+        x_460 = torch._C._nn.scaled_dot_product_attention(
+            q_35, k_35, v_35, attn_mask=None, dropout_p=0.0
+        )
+        q_35 = k_35 = v_35 = None
+        transpose_36 = x_460.transpose(1, 2)
+        x_460 = None
+        x_461 = transpose_36.reshape(1, 257, 1792)
+        transpose_36 = None
+        x_462 = torch._C._nn.linear(
+            x_461,
+            l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_461 = l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_463 = torch.nn.functional.dropout(x_462, 0.0, False, False)
+        x_462 = None
+        x_464 = torch.nn.functional.layer_norm(
+            x_463,
+            (1792,),
+            l_self_modules_blocks_modules_35_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_463 = (
+            l_self_modules_blocks_modules_35_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_35_modules_norm1_parameters_bias_ = None
+        x_465 = x_459 + x_464
+        x_459 = x_464 = None
+        x_466 = torch._C._nn.linear(
+            x_465,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_467 = torch._C._nn.gelu(x_466, approximate="none")
+        x_466 = None
+        x_468 = torch.nn.functional.dropout(x_467, 0.0, False, False)
+        x_467 = None
+        x_469 = torch._C._nn.linear(
+            x_468,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_468 = (
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_470 = torch.nn.functional.dropout(x_469, 0.0, False, False)
+        x_469 = None
+        x_471 = torch.nn.functional.layer_norm(
+            x_470,
+            (1792,),
+            l_self_modules_blocks_modules_35_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_470 = (
+            l_self_modules_blocks_modules_35_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_35_modules_norm2_parameters_bias_ = None
+        x_472 = x_465 + x_471
+        x_465 = x_471 = None
+        qkv_bias_36 = torch.cat(
+            (
+                l_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_ = None
+        qkv_72 = torch._C._nn.linear(
+            x_472,
+            weight=l_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_36,
+        )
+        l_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_36
+        ) = None
+        reshape_72 = qkv_72.reshape(1, 257, 3, 16, -1)
+        qkv_72 = None
+        qkv_73 = reshape_72.permute(2, 0, 3, 1, 4)
+        reshape_72 = None
+        unbind_36 = qkv_73.unbind(0)
+        qkv_73 = None
+        q_36 = unbind_36[0]
+        k_36 = unbind_36[1]
+        v_36 = unbind_36[2]
+        unbind_36 = None
+        x_473 = torch._C._nn.scaled_dot_product_attention(
+            q_36, k_36, v_36, attn_mask=None, dropout_p=0.0
+        )
+        q_36 = k_36 = v_36 = None
+        transpose_37 = x_473.transpose(1, 2)
+        x_473 = None
+        x_474 = transpose_37.reshape(1, 257, 1792)
+        transpose_37 = None
+        x_475 = torch._C._nn.linear(
+            x_474,
+            l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_474 = l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_476 = torch.nn.functional.dropout(x_475, 0.0, False, False)
+        x_475 = None
+        x_477 = torch.nn.functional.layer_norm(
+            x_476,
+            (1792,),
+            l_self_modules_blocks_modules_36_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_476 = (
+            l_self_modules_blocks_modules_36_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_36_modules_norm1_parameters_bias_ = None
+        x_478 = x_472 + x_477
+        x_472 = x_477 = None
+        x_479 = torch._C._nn.linear(
+            x_478,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_480 = torch._C._nn.gelu(x_479, approximate="none")
+        x_479 = None
+        x_481 = torch.nn.functional.dropout(x_480, 0.0, False, False)
+        x_480 = None
+        x_482 = torch._C._nn.linear(
+            x_481,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_481 = (
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_483 = torch.nn.functional.dropout(x_482, 0.0, False, False)
+        x_482 = None
+        x_484 = torch.nn.functional.layer_norm(
+            x_483,
+            (1792,),
+            l_self_modules_blocks_modules_36_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_483 = (
+            l_self_modules_blocks_modules_36_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_36_modules_norm2_parameters_bias_ = None
+        x_485 = x_478 + x_484
+        x_478 = x_484 = None
+        qkv_bias_37 = torch.cat(
+            (
+                l_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_ = None
+        qkv_74 = torch._C._nn.linear(
+            x_485,
+            weight=l_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_37,
+        )
+        l_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_37
+        ) = None
+        reshape_74 = qkv_74.reshape(1, 257, 3, 16, -1)
+        qkv_74 = None
+        qkv_75 = reshape_74.permute(2, 0, 3, 1, 4)
+        reshape_74 = None
+        unbind_37 = qkv_75.unbind(0)
+        qkv_75 = None
+        q_37 = unbind_37[0]
+        k_37 = unbind_37[1]
+        v_37 = unbind_37[2]
+        unbind_37 = None
+        x_486 = torch._C._nn.scaled_dot_product_attention(
+            q_37, k_37, v_37, attn_mask=None, dropout_p=0.0
+        )
+        q_37 = k_37 = v_37 = None
+        transpose_38 = x_486.transpose(1, 2)
+        x_486 = None
+        x_487 = transpose_38.reshape(1, 257, 1792)
+        transpose_38 = None
+        x_488 = torch._C._nn.linear(
+            x_487,
+            l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_487 = l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_489 = torch.nn.functional.dropout(x_488, 0.0, False, False)
+        x_488 = None
+        x_490 = torch.nn.functional.layer_norm(
+            x_489,
+            (1792,),
+            l_self_modules_blocks_modules_37_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_489 = (
+            l_self_modules_blocks_modules_37_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_37_modules_norm1_parameters_bias_ = None
+        x_491 = x_485 + x_490
+        x_485 = x_490 = None
+        x_492 = torch._C._nn.linear(
+            x_491,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_493 = torch._C._nn.gelu(x_492, approximate="none")
+        x_492 = None
+        x_494 = torch.nn.functional.dropout(x_493, 0.0, False, False)
+        x_493 = None
+        x_495 = torch._C._nn.linear(
+            x_494,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_494 = (
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_496 = torch.nn.functional.dropout(x_495, 0.0, False, False)
+        x_495 = None
+        x_497 = torch.nn.functional.layer_norm(
+            x_496,
+            (1792,),
+            l_self_modules_blocks_modules_37_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_496 = (
+            l_self_modules_blocks_modules_37_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_37_modules_norm2_parameters_bias_ = None
+        x_498 = x_491 + x_497
+        x_491 = x_497 = None
+        qkv_bias_38 = torch.cat(
+            (
+                l_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_ = None
+        qkv_76 = torch._C._nn.linear(
+            x_498,
+            weight=l_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_38,
+        )
+        l_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_38
+        ) = None
+        reshape_76 = qkv_76.reshape(1, 257, 3, 16, -1)
+        qkv_76 = None
+        qkv_77 = reshape_76.permute(2, 0, 3, 1, 4)
+        reshape_76 = None
+        unbind_38 = qkv_77.unbind(0)
+        qkv_77 = None
+        q_38 = unbind_38[0]
+        k_38 = unbind_38[1]
+        v_38 = unbind_38[2]
+        unbind_38 = None
+        x_499 = torch._C._nn.scaled_dot_product_attention(
+            q_38, k_38, v_38, attn_mask=None, dropout_p=0.0
+        )
+        q_38 = k_38 = v_38 = None
+        transpose_39 = x_499.transpose(1, 2)
+        x_499 = None
+        x_500 = transpose_39.reshape(1, 257, 1792)
+        transpose_39 = None
+        x_501 = torch._C._nn.linear(
+            x_500,
+            l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_500 = l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_502 = torch.nn.functional.dropout(x_501, 0.0, False, False)
+        x_501 = None
+        x_503 = torch.nn.functional.layer_norm(
+            x_502,
+            (1792,),
+            l_self_modules_blocks_modules_38_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_502 = (
+            l_self_modules_blocks_modules_38_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_38_modules_norm1_parameters_bias_ = None
+        x_504 = x_498 + x_503
+        x_498 = x_503 = None
+        x_505 = torch._C._nn.linear(
+            x_504,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_506 = torch._C._nn.gelu(x_505, approximate="none")
+        x_505 = None
+        x_507 = torch.nn.functional.dropout(x_506, 0.0, False, False)
+        x_506 = None
+        x_508 = torch._C._nn.linear(
+            x_507,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_507 = (
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_509 = torch.nn.functional.dropout(x_508, 0.0, False, False)
+        x_508 = None
+        x_510 = torch.nn.functional.layer_norm(
+            x_509,
+            (1792,),
+            l_self_modules_blocks_modules_38_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_509 = (
+            l_self_modules_blocks_modules_38_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_38_modules_norm2_parameters_bias_ = None
+        x_511 = x_504 + x_510
+        x_504 = x_510 = None
+        qkv_bias_39 = torch.cat(
+            (
+                l_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_ = None
+        qkv_78 = torch._C._nn.linear(
+            x_511,
+            weight=l_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_39,
+        )
+        l_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_39
+        ) = None
+        reshape_78 = qkv_78.reshape(1, 257, 3, 16, -1)
+        qkv_78 = None
+        qkv_79 = reshape_78.permute(2, 0, 3, 1, 4)
+        reshape_78 = None
+        unbind_39 = qkv_79.unbind(0)
+        qkv_79 = None
+        q_39 = unbind_39[0]
+        k_39 = unbind_39[1]
+        v_39 = unbind_39[2]
+        unbind_39 = None
+        x_512 = torch._C._nn.scaled_dot_product_attention(
+            q_39, k_39, v_39, attn_mask=None, dropout_p=0.0
+        )
+        q_39 = k_39 = v_39 = None
+        transpose_40 = x_512.transpose(1, 2)
+        x_512 = None
+        x_513 = transpose_40.reshape(1, 257, 1792)
+        transpose_40 = None
+        x_514 = torch._C._nn.linear(
+            x_513,
+            l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_513 = l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_515 = torch.nn.functional.dropout(x_514, 0.0, False, False)
+        x_514 = None
+        x_516 = torch.nn.functional.layer_norm(
+            x_515,
+            (1792,),
+            l_self_modules_blocks_modules_39_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_515 = (
+            l_self_modules_blocks_modules_39_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_39_modules_norm1_parameters_bias_ = None
+        x_517 = x_511 + x_516
+        x_511 = x_516 = None
+        x_518 = torch._C._nn.linear(
+            x_517,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_519 = torch._C._nn.gelu(x_518, approximate="none")
+        x_518 = None
+        x_520 = torch.nn.functional.dropout(x_519, 0.0, False, False)
+        x_519 = None
+        x_521 = torch._C._nn.linear(
+            x_520,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_520 = (
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_522 = torch.nn.functional.dropout(x_521, 0.0, False, False)
+        x_521 = None
+        x_523 = torch.nn.functional.layer_norm(
+            x_522,
+            (1792,),
+            l_self_modules_blocks_modules_39_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_522 = (
+            l_self_modules_blocks_modules_39_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_39_modules_norm2_parameters_bias_ = None
+        x_524 = x_517 + x_523
+        x_517 = x_523 = None
+        qkv_bias_40 = torch.cat(
+            (
+                l_self_modules_blocks_modules_40_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_40_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_40_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_40_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_40_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_40_modules_attn_parameters_v_bias_ = None
+        qkv_80 = torch._C._nn.linear(
+            x_524,
+            weight=l_self_modules_blocks_modules_40_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_40,
+        )
+        l_self_modules_blocks_modules_40_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_40
+        ) = None
+        reshape_80 = qkv_80.reshape(1, 257, 3, 16, -1)
+        qkv_80 = None
+        qkv_81 = reshape_80.permute(2, 0, 3, 1, 4)
+        reshape_80 = None
+        unbind_40 = qkv_81.unbind(0)
+        qkv_81 = None
+        q_40 = unbind_40[0]
+        k_40 = unbind_40[1]
+        v_40 = unbind_40[2]
+        unbind_40 = None
+        x_525 = torch._C._nn.scaled_dot_product_attention(
+            q_40, k_40, v_40, attn_mask=None, dropout_p=0.0
+        )
+        q_40 = k_40 = v_40 = None
+        transpose_41 = x_525.transpose(1, 2)
+        x_525 = None
+        x_526 = transpose_41.reshape(1, 257, 1792)
+        transpose_41 = None
+        x_527 = torch._C._nn.linear(
+            x_526,
+            l_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_526 = l_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_528 = torch.nn.functional.dropout(x_527, 0.0, False, False)
+        x_527 = None
+        x_529 = torch.nn.functional.layer_norm(
+            x_528,
+            (1792,),
+            l_self_modules_blocks_modules_40_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_40_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_528 = (
+            l_self_modules_blocks_modules_40_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_40_modules_norm1_parameters_bias_ = None
+        x_530 = x_524 + x_529
+        x_524 = x_529 = None
+        x_531 = torch._C._nn.linear(
+            x_530,
+            l_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_532 = torch._C._nn.gelu(x_531, approximate="none")
+        x_531 = None
+        x_533 = torch.nn.functional.dropout(x_532, 0.0, False, False)
+        x_532 = None
+        x_534 = torch._C._nn.linear(
+            x_533,
+            l_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_533 = (
+            l_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_535 = torch.nn.functional.dropout(x_534, 0.0, False, False)
+        x_534 = None
+        x_536 = torch.nn.functional.layer_norm(
+            x_535,
+            (1792,),
+            l_self_modules_blocks_modules_40_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_40_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_535 = (
+            l_self_modules_blocks_modules_40_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_40_modules_norm2_parameters_bias_ = None
+        x_537 = x_530 + x_536
+        x_530 = x_536 = None
+        qkv_bias_41 = torch.cat(
+            (
+                l_self_modules_blocks_modules_41_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_41_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_41_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_41_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_41_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_41_modules_attn_parameters_v_bias_ = None
+        qkv_82 = torch._C._nn.linear(
+            x_537,
+            weight=l_self_modules_blocks_modules_41_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_41,
+        )
+        l_self_modules_blocks_modules_41_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_41
+        ) = None
+        reshape_82 = qkv_82.reshape(1, 257, 3, 16, -1)
+        qkv_82 = None
+        qkv_83 = reshape_82.permute(2, 0, 3, 1, 4)
+        reshape_82 = None
+        unbind_41 = qkv_83.unbind(0)
+        qkv_83 = None
+        q_41 = unbind_41[0]
+        k_41 = unbind_41[1]
+        v_41 = unbind_41[2]
+        unbind_41 = None
+        x_538 = torch._C._nn.scaled_dot_product_attention(
+            q_41, k_41, v_41, attn_mask=None, dropout_p=0.0
+        )
+        q_41 = k_41 = v_41 = None
+        transpose_42 = x_538.transpose(1, 2)
+        x_538 = None
+        x_539 = transpose_42.reshape(1, 257, 1792)
+        transpose_42 = None
+        x_540 = torch._C._nn.linear(
+            x_539,
+            l_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_539 = l_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_541 = torch.nn.functional.dropout(x_540, 0.0, False, False)
+        x_540 = None
+        x_542 = torch.nn.functional.layer_norm(
+            x_541,
+            (1792,),
+            l_self_modules_blocks_modules_41_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_41_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_541 = (
+            l_self_modules_blocks_modules_41_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_41_modules_norm1_parameters_bias_ = None
+        x_543 = x_537 + x_542
+        x_537 = x_542 = None
+        x_544 = torch._C._nn.linear(
+            x_543,
+            l_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_545 = torch._C._nn.gelu(x_544, approximate="none")
+        x_544 = None
+        x_546 = torch.nn.functional.dropout(x_545, 0.0, False, False)
+        x_545 = None
+        x_547 = torch._C._nn.linear(
+            x_546,
+            l_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_546 = (
+            l_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_548 = torch.nn.functional.dropout(x_547, 0.0, False, False)
+        x_547 = None
+        x_549 = torch.nn.functional.layer_norm(
+            x_548,
+            (1792,),
+            l_self_modules_blocks_modules_41_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_41_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_548 = (
+            l_self_modules_blocks_modules_41_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_41_modules_norm2_parameters_bias_ = None
+        x_550 = x_543 + x_549
+        x_543 = x_549 = None
+        qkv_bias_42 = torch.cat(
+            (
+                l_self_modules_blocks_modules_42_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_42_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_42_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_42_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_42_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_42_modules_attn_parameters_v_bias_ = None
+        qkv_84 = torch._C._nn.linear(
+            x_550,
+            weight=l_self_modules_blocks_modules_42_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_42,
+        )
+        l_self_modules_blocks_modules_42_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_42
+        ) = None
+        reshape_84 = qkv_84.reshape(1, 257, 3, 16, -1)
+        qkv_84 = None
+        qkv_85 = reshape_84.permute(2, 0, 3, 1, 4)
+        reshape_84 = None
+        unbind_42 = qkv_85.unbind(0)
+        qkv_85 = None
+        q_42 = unbind_42[0]
+        k_42 = unbind_42[1]
+        v_42 = unbind_42[2]
+        unbind_42 = None
+        x_551 = torch._C._nn.scaled_dot_product_attention(
+            q_42, k_42, v_42, attn_mask=None, dropout_p=0.0
+        )
+        q_42 = k_42 = v_42 = None
+        transpose_43 = x_551.transpose(1, 2)
+        x_551 = None
+        x_552 = transpose_43.reshape(1, 257, 1792)
+        transpose_43 = None
+        x_553 = torch._C._nn.linear(
+            x_552,
+            l_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_552 = l_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_554 = torch.nn.functional.dropout(x_553, 0.0, False, False)
+        x_553 = None
+        x_555 = torch.nn.functional.layer_norm(
+            x_554,
+            (1792,),
+            l_self_modules_blocks_modules_42_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_42_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_554 = (
+            l_self_modules_blocks_modules_42_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_42_modules_norm1_parameters_bias_ = None
+        x_556 = x_550 + x_555
+        x_550 = x_555 = None
+        x_557 = torch._C._nn.linear(
+            x_556,
+            l_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_558 = torch._C._nn.gelu(x_557, approximate="none")
+        x_557 = None
+        x_559 = torch.nn.functional.dropout(x_558, 0.0, False, False)
+        x_558 = None
+        x_560 = torch._C._nn.linear(
+            x_559,
+            l_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_559 = (
+            l_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_561 = torch.nn.functional.dropout(x_560, 0.0, False, False)
+        x_560 = None
+        x_562 = torch.nn.functional.layer_norm(
+            x_561,
+            (1792,),
+            l_self_modules_blocks_modules_42_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_42_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_561 = (
+            l_self_modules_blocks_modules_42_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_42_modules_norm2_parameters_bias_ = None
+        x_563 = x_556 + x_562
+        x_556 = x_562 = None
+        qkv_bias_43 = torch.cat(
+            (
+                l_self_modules_blocks_modules_43_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_43_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_43_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_43_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_43_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_43_modules_attn_parameters_v_bias_ = None
+        qkv_86 = torch._C._nn.linear(
+            x_563,
+            weight=l_self_modules_blocks_modules_43_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_43,
+        )
+        l_self_modules_blocks_modules_43_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_43
+        ) = None
+        reshape_86 = qkv_86.reshape(1, 257, 3, 16, -1)
+        qkv_86 = None
+        qkv_87 = reshape_86.permute(2, 0, 3, 1, 4)
+        reshape_86 = None
+        unbind_43 = qkv_87.unbind(0)
+        qkv_87 = None
+        q_43 = unbind_43[0]
+        k_43 = unbind_43[1]
+        v_43 = unbind_43[2]
+        unbind_43 = None
+        x_564 = torch._C._nn.scaled_dot_product_attention(
+            q_43, k_43, v_43, attn_mask=None, dropout_p=0.0
+        )
+        q_43 = k_43 = v_43 = None
+        transpose_44 = x_564.transpose(1, 2)
+        x_564 = None
+        x_565 = transpose_44.reshape(1, 257, 1792)
+        transpose_44 = None
+        x_566 = torch._C._nn.linear(
+            x_565,
+            l_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_565 = l_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_567 = torch.nn.functional.dropout(x_566, 0.0, False, False)
+        x_566 = None
+        x_568 = torch.nn.functional.layer_norm(
+            x_567,
+            (1792,),
+            l_self_modules_blocks_modules_43_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_43_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_567 = (
+            l_self_modules_blocks_modules_43_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_43_modules_norm1_parameters_bias_ = None
+        x_569 = x_563 + x_568
+        x_563 = x_568 = None
+        x_570 = torch._C._nn.linear(
+            x_569,
+            l_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_571 = torch._C._nn.gelu(x_570, approximate="none")
+        x_570 = None
+        x_572 = torch.nn.functional.dropout(x_571, 0.0, False, False)
+        x_571 = None
+        x_573 = torch._C._nn.linear(
+            x_572,
+            l_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_572 = (
+            l_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_574 = torch.nn.functional.dropout(x_573, 0.0, False, False)
+        x_573 = None
+        x_575 = torch.nn.functional.layer_norm(
+            x_574,
+            (1792,),
+            l_self_modules_blocks_modules_43_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_43_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_574 = (
+            l_self_modules_blocks_modules_43_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_43_modules_norm2_parameters_bias_ = None
+        x_576 = x_569 + x_575
+        x_569 = x_575 = None
+        qkv_bias_44 = torch.cat(
+            (
+                l_self_modules_blocks_modules_44_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_44_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_44_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_44_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_44_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_44_modules_attn_parameters_v_bias_ = None
+        qkv_88 = torch._C._nn.linear(
+            x_576,
+            weight=l_self_modules_blocks_modules_44_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_44,
+        )
+        l_self_modules_blocks_modules_44_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_44
+        ) = None
+        reshape_88 = qkv_88.reshape(1, 257, 3, 16, -1)
+        qkv_88 = None
+        qkv_89 = reshape_88.permute(2, 0, 3, 1, 4)
+        reshape_88 = None
+        unbind_44 = qkv_89.unbind(0)
+        qkv_89 = None
+        q_44 = unbind_44[0]
+        k_44 = unbind_44[1]
+        v_44 = unbind_44[2]
+        unbind_44 = None
+        x_577 = torch._C._nn.scaled_dot_product_attention(
+            q_44, k_44, v_44, attn_mask=None, dropout_p=0.0
+        )
+        q_44 = k_44 = v_44 = None
+        transpose_45 = x_577.transpose(1, 2)
+        x_577 = None
+        x_578 = transpose_45.reshape(1, 257, 1792)
+        transpose_45 = None
+        x_579 = torch._C._nn.linear(
+            x_578,
+            l_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_578 = l_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_580 = torch.nn.functional.dropout(x_579, 0.0, False, False)
+        x_579 = None
+        x_581 = torch.nn.functional.layer_norm(
+            x_580,
+            (1792,),
+            l_self_modules_blocks_modules_44_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_44_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_580 = (
+            l_self_modules_blocks_modules_44_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_44_modules_norm1_parameters_bias_ = None
+        x_582 = x_576 + x_581
+        x_576 = x_581 = None
+        x_583 = torch._C._nn.linear(
+            x_582,
+            l_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_584 = torch._C._nn.gelu(x_583, approximate="none")
+        x_583 = None
+        x_585 = torch.nn.functional.dropout(x_584, 0.0, False, False)
+        x_584 = None
+        x_586 = torch._C._nn.linear(
+            x_585,
+            l_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_585 = (
+            l_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_587 = torch.nn.functional.dropout(x_586, 0.0, False, False)
+        x_586 = None
+        x_588 = torch.nn.functional.layer_norm(
+            x_587,
+            (1792,),
+            l_self_modules_blocks_modules_44_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_44_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_587 = (
+            l_self_modules_blocks_modules_44_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_44_modules_norm2_parameters_bias_ = None
+        x_589 = x_582 + x_588
+        x_582 = x_588 = None
+        qkv_bias_45 = torch.cat(
+            (
+                l_self_modules_blocks_modules_45_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_45_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_45_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_45_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_45_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_45_modules_attn_parameters_v_bias_ = None
+        qkv_90 = torch._C._nn.linear(
+            x_589,
+            weight=l_self_modules_blocks_modules_45_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_45,
+        )
+        l_self_modules_blocks_modules_45_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_45
+        ) = None
+        reshape_90 = qkv_90.reshape(1, 257, 3, 16, -1)
+        qkv_90 = None
+        qkv_91 = reshape_90.permute(2, 0, 3, 1, 4)
+        reshape_90 = None
+        unbind_45 = qkv_91.unbind(0)
+        qkv_91 = None
+        q_45 = unbind_45[0]
+        k_45 = unbind_45[1]
+        v_45 = unbind_45[2]
+        unbind_45 = None
+        x_590 = torch._C._nn.scaled_dot_product_attention(
+            q_45, k_45, v_45, attn_mask=None, dropout_p=0.0
+        )
+        q_45 = k_45 = v_45 = None
+        transpose_46 = x_590.transpose(1, 2)
+        x_590 = None
+        x_591 = transpose_46.reshape(1, 257, 1792)
+        transpose_46 = None
+        x_592 = torch._C._nn.linear(
+            x_591,
+            l_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_591 = l_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_593 = torch.nn.functional.dropout(x_592, 0.0, False, False)
+        x_592 = None
+        x_594 = torch.nn.functional.layer_norm(
+            x_593,
+            (1792,),
+            l_self_modules_blocks_modules_45_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_45_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_593 = (
+            l_self_modules_blocks_modules_45_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_45_modules_norm1_parameters_bias_ = None
+        x_595 = x_589 + x_594
+        x_589 = x_594 = None
+        x_596 = torch._C._nn.linear(
+            x_595,
+            l_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_597 = torch._C._nn.gelu(x_596, approximate="none")
+        x_596 = None
+        x_598 = torch.nn.functional.dropout(x_597, 0.0, False, False)
+        x_597 = None
+        x_599 = torch._C._nn.linear(
+            x_598,
+            l_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_598 = (
+            l_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_600 = torch.nn.functional.dropout(x_599, 0.0, False, False)
+        x_599 = None
+        x_601 = torch.nn.functional.layer_norm(
+            x_600,
+            (1792,),
+            l_self_modules_blocks_modules_45_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_45_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_600 = (
+            l_self_modules_blocks_modules_45_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_45_modules_norm2_parameters_bias_ = None
+        x_602 = x_595 + x_601
+        x_595 = x_601 = None
+        qkv_bias_46 = torch.cat(
+            (
+                l_self_modules_blocks_modules_46_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_46_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_46_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_46_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_46_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_46_modules_attn_parameters_v_bias_ = None
+        qkv_92 = torch._C._nn.linear(
+            x_602,
+            weight=l_self_modules_blocks_modules_46_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_46,
+        )
+        l_self_modules_blocks_modules_46_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_46
+        ) = None
+        reshape_92 = qkv_92.reshape(1, 257, 3, 16, -1)
+        qkv_92 = None
+        qkv_93 = reshape_92.permute(2, 0, 3, 1, 4)
+        reshape_92 = None
+        unbind_46 = qkv_93.unbind(0)
+        qkv_93 = None
+        q_46 = unbind_46[0]
+        k_46 = unbind_46[1]
+        v_46 = unbind_46[2]
+        unbind_46 = None
+        x_603 = torch._C._nn.scaled_dot_product_attention(
+            q_46, k_46, v_46, attn_mask=None, dropout_p=0.0
+        )
+        q_46 = k_46 = v_46 = None
+        transpose_47 = x_603.transpose(1, 2)
+        x_603 = None
+        x_604 = transpose_47.reshape(1, 257, 1792)
+        transpose_47 = None
+        x_605 = torch._C._nn.linear(
+            x_604,
+            l_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_604 = l_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_606 = torch.nn.functional.dropout(x_605, 0.0, False, False)
+        x_605 = None
+        x_607 = torch.nn.functional.layer_norm(
+            x_606,
+            (1792,),
+            l_self_modules_blocks_modules_46_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_46_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_606 = (
+            l_self_modules_blocks_modules_46_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_46_modules_norm1_parameters_bias_ = None
+        x_608 = x_602 + x_607
+        x_602 = x_607 = None
+        x_609 = torch._C._nn.linear(
+            x_608,
+            l_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_610 = torch._C._nn.gelu(x_609, approximate="none")
+        x_609 = None
+        x_611 = torch.nn.functional.dropout(x_610, 0.0, False, False)
+        x_610 = None
+        x_612 = torch._C._nn.linear(
+            x_611,
+            l_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_611 = (
+            l_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_613 = torch.nn.functional.dropout(x_612, 0.0, False, False)
+        x_612 = None
+        x_614 = torch.nn.functional.layer_norm(
+            x_613,
+            (1792,),
+            l_self_modules_blocks_modules_46_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_46_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_613 = (
+            l_self_modules_blocks_modules_46_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_46_modules_norm2_parameters_bias_ = None
+        x_615 = x_608 + x_614
+        x_608 = x_614 = None
+        qkv_bias_47 = torch.cat(
+            (
+                l_self_modules_blocks_modules_47_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_47_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_47_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_47_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_47_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_47_modules_attn_parameters_v_bias_ = None
+        qkv_94 = torch._C._nn.linear(
+            x_615,
+            weight=l_self_modules_blocks_modules_47_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_47,
+        )
+        l_self_modules_blocks_modules_47_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_47
+        ) = None
+        reshape_94 = qkv_94.reshape(1, 257, 3, 16, -1)
+        qkv_94 = None
+        qkv_95 = reshape_94.permute(2, 0, 3, 1, 4)
+        reshape_94 = None
+        unbind_47 = qkv_95.unbind(0)
+        qkv_95 = None
+        q_47 = unbind_47[0]
+        k_47 = unbind_47[1]
+        v_47 = unbind_47[2]
+        unbind_47 = None
+        x_616 = torch._C._nn.scaled_dot_product_attention(
+            q_47, k_47, v_47, attn_mask=None, dropout_p=0.0
+        )
+        q_47 = k_47 = v_47 = None
+        transpose_48 = x_616.transpose(1, 2)
+        x_616 = None
+        x_617 = transpose_48.reshape(1, 257, 1792)
+        transpose_48 = None
+        x_618 = torch._C._nn.linear(
+            x_617,
+            l_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_617 = l_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_619 = torch.nn.functional.dropout(x_618, 0.0, False, False)
+        x_618 = None
+        x_620 = torch.nn.functional.layer_norm(
+            x_619,
+            (1792,),
+            l_self_modules_blocks_modules_47_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_47_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_619 = (
+            l_self_modules_blocks_modules_47_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_47_modules_norm1_parameters_bias_ = None
+        x_621 = x_615 + x_620
+        x_615 = x_620 = None
+        x_622 = torch._C._nn.linear(
+            x_621,
+            l_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_623 = torch._C._nn.gelu(x_622, approximate="none")
+        x_622 = None
+        x_624 = torch.nn.functional.dropout(x_623, 0.0, False, False)
+        x_623 = None
+        x_625 = torch._C._nn.linear(
+            x_624,
+            l_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_624 = (
+            l_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_626 = torch.nn.functional.dropout(x_625, 0.0, False, False)
+        x_625 = None
+        x_627 = torch.nn.functional.layer_norm(
+            x_626,
+            (1792,),
+            l_self_modules_blocks_modules_47_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_47_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_626 = (
+            l_self_modules_blocks_modules_47_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_47_modules_norm2_parameters_bias_ = None
+        x_628 = x_621 + x_627
+        x_621 = x_627 = None
+        qkv_bias_48 = torch.cat(
+            (
+                l_self_modules_blocks_modules_48_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_48_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_48_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_48_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_48_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_48_modules_attn_parameters_v_bias_ = None
+        qkv_96 = torch._C._nn.linear(
+            x_628,
+            weight=l_self_modules_blocks_modules_48_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_48,
+        )
+        l_self_modules_blocks_modules_48_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_48
+        ) = None
+        reshape_96 = qkv_96.reshape(1, 257, 3, 16, -1)
+        qkv_96 = None
+        qkv_97 = reshape_96.permute(2, 0, 3, 1, 4)
+        reshape_96 = None
+        unbind_48 = qkv_97.unbind(0)
+        qkv_97 = None
+        q_48 = unbind_48[0]
+        k_48 = unbind_48[1]
+        v_48 = unbind_48[2]
+        unbind_48 = None
+        x_629 = torch._C._nn.scaled_dot_product_attention(
+            q_48, k_48, v_48, attn_mask=None, dropout_p=0.0
+        )
+        q_48 = k_48 = v_48 = None
+        transpose_49 = x_629.transpose(1, 2)
+        x_629 = None
+        x_630 = transpose_49.reshape(1, 257, 1792)
+        transpose_49 = None
+        x_631 = torch._C._nn.linear(
+            x_630,
+            l_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_630 = l_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_632 = torch.nn.functional.dropout(x_631, 0.0, False, False)
+        x_631 = None
+        x_633 = torch.nn.functional.layer_norm(
+            x_632,
+            (1792,),
+            l_self_modules_blocks_modules_48_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_48_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_632 = (
+            l_self_modules_blocks_modules_48_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_48_modules_norm1_parameters_bias_ = None
+        x_634 = x_628 + x_633
+        x_628 = x_633 = None
+        x_635 = torch._C._nn.linear(
+            x_634,
+            l_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_636 = torch._C._nn.gelu(x_635, approximate="none")
+        x_635 = None
+        x_637 = torch.nn.functional.dropout(x_636, 0.0, False, False)
+        x_636 = None
+        x_638 = torch._C._nn.linear(
+            x_637,
+            l_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_637 = (
+            l_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_639 = torch.nn.functional.dropout(x_638, 0.0, False, False)
+        x_638 = None
+        x_640 = torch.nn.functional.layer_norm(
+            x_639,
+            (1792,),
+            l_self_modules_blocks_modules_48_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_48_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_639 = (
+            l_self_modules_blocks_modules_48_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_48_modules_norm2_parameters_bias_ = None
+        x_641 = x_634 + x_640
+        x_634 = x_640 = None
+        qkv_bias_49 = torch.cat(
+            (
+                l_self_modules_blocks_modules_49_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_49_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_49_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_49_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_49_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_49_modules_attn_parameters_v_bias_ = None
+        qkv_98 = torch._C._nn.linear(
+            x_641,
+            weight=l_self_modules_blocks_modules_49_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_49,
+        )
+        l_self_modules_blocks_modules_49_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_49
+        ) = None
+        reshape_98 = qkv_98.reshape(1, 257, 3, 16, -1)
+        qkv_98 = None
+        qkv_99 = reshape_98.permute(2, 0, 3, 1, 4)
+        reshape_98 = None
+        unbind_49 = qkv_99.unbind(0)
+        qkv_99 = None
+        q_49 = unbind_49[0]
+        k_49 = unbind_49[1]
+        v_49 = unbind_49[2]
+        unbind_49 = None
+        x_642 = torch._C._nn.scaled_dot_product_attention(
+            q_49, k_49, v_49, attn_mask=None, dropout_p=0.0
+        )
+        q_49 = k_49 = v_49 = None
+        transpose_50 = x_642.transpose(1, 2)
+        x_642 = None
+        x_643 = transpose_50.reshape(1, 257, 1792)
+        transpose_50 = None
+        x_644 = torch._C._nn.linear(
+            x_643,
+            l_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_643 = l_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_645 = torch.nn.functional.dropout(x_644, 0.0, False, False)
+        x_644 = None
+        x_646 = torch.nn.functional.layer_norm(
+            x_645,
+            (1792,),
+            l_self_modules_blocks_modules_49_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_49_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_645 = (
+            l_self_modules_blocks_modules_49_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_49_modules_norm1_parameters_bias_ = None
+        x_647 = x_641 + x_646
+        x_641 = x_646 = None
+        x_648 = torch._C._nn.linear(
+            x_647,
+            l_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_649 = torch._C._nn.gelu(x_648, approximate="none")
+        x_648 = None
+        x_650 = torch.nn.functional.dropout(x_649, 0.0, False, False)
+        x_649 = None
+        x_651 = torch._C._nn.linear(
+            x_650,
+            l_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_650 = (
+            l_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_652 = torch.nn.functional.dropout(x_651, 0.0, False, False)
+        x_651 = None
+        x_653 = torch.nn.functional.layer_norm(
+            x_652,
+            (1792,),
+            l_self_modules_blocks_modules_49_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_49_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_652 = (
+            l_self_modules_blocks_modules_49_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_49_modules_norm2_parameters_bias_ = None
+        x_654 = x_647 + x_653
+        x_647 = x_653 = None
+        qkv_bias_50 = torch.cat(
+            (
+                l_self_modules_blocks_modules_50_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_50_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_50_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_50_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_50_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_50_modules_attn_parameters_v_bias_ = None
+        qkv_100 = torch._C._nn.linear(
+            x_654,
+            weight=l_self_modules_blocks_modules_50_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_50,
+        )
+        l_self_modules_blocks_modules_50_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_50
+        ) = None
+        reshape_100 = qkv_100.reshape(1, 257, 3, 16, -1)
+        qkv_100 = None
+        qkv_101 = reshape_100.permute(2, 0, 3, 1, 4)
+        reshape_100 = None
+        unbind_50 = qkv_101.unbind(0)
+        qkv_101 = None
+        q_50 = unbind_50[0]
+        k_50 = unbind_50[1]
+        v_50 = unbind_50[2]
+        unbind_50 = None
+        x_655 = torch._C._nn.scaled_dot_product_attention(
+            q_50, k_50, v_50, attn_mask=None, dropout_p=0.0
+        )
+        q_50 = k_50 = v_50 = None
+        transpose_51 = x_655.transpose(1, 2)
+        x_655 = None
+        x_656 = transpose_51.reshape(1, 257, 1792)
+        transpose_51 = None
+        x_657 = torch._C._nn.linear(
+            x_656,
+            l_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_656 = l_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_658 = torch.nn.functional.dropout(x_657, 0.0, False, False)
+        x_657 = None
+        x_659 = torch.nn.functional.layer_norm(
+            x_658,
+            (1792,),
+            l_self_modules_blocks_modules_50_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_50_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_658 = (
+            l_self_modules_blocks_modules_50_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_50_modules_norm1_parameters_bias_ = None
+        x_660 = x_654 + x_659
+        x_654 = x_659 = None
+        x_661 = torch._C._nn.linear(
+            x_660,
+            l_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_662 = torch._C._nn.gelu(x_661, approximate="none")
+        x_661 = None
+        x_663 = torch.nn.functional.dropout(x_662, 0.0, False, False)
+        x_662 = None
+        x_664 = torch._C._nn.linear(
+            x_663,
+            l_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_663 = (
+            l_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_665 = torch.nn.functional.dropout(x_664, 0.0, False, False)
+        x_664 = None
+        x_666 = torch.nn.functional.layer_norm(
+            x_665,
+            (1792,),
+            l_self_modules_blocks_modules_50_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_50_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_665 = (
+            l_self_modules_blocks_modules_50_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_50_modules_norm2_parameters_bias_ = None
+        x_667 = x_660 + x_666
+        x_660 = x_666 = None
+        qkv_bias_51 = torch.cat(
+            (
+                l_self_modules_blocks_modules_51_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_51_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_51_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_51_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_51_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_51_modules_attn_parameters_v_bias_ = None
+        qkv_102 = torch._C._nn.linear(
+            x_667,
+            weight=l_self_modules_blocks_modules_51_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_51,
+        )
+        l_self_modules_blocks_modules_51_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_51
+        ) = None
+        reshape_102 = qkv_102.reshape(1, 257, 3, 16, -1)
+        qkv_102 = None
+        qkv_103 = reshape_102.permute(2, 0, 3, 1, 4)
+        reshape_102 = None
+        unbind_51 = qkv_103.unbind(0)
+        qkv_103 = None
+        q_51 = unbind_51[0]
+        k_51 = unbind_51[1]
+        v_51 = unbind_51[2]
+        unbind_51 = None
+        x_668 = torch._C._nn.scaled_dot_product_attention(
+            q_51, k_51, v_51, attn_mask=None, dropout_p=0.0
+        )
+        q_51 = k_51 = v_51 = None
+        transpose_52 = x_668.transpose(1, 2)
+        x_668 = None
+        x_669 = transpose_52.reshape(1, 257, 1792)
+        transpose_52 = None
+        x_670 = torch._C._nn.linear(
+            x_669,
+            l_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_669 = l_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_671 = torch.nn.functional.dropout(x_670, 0.0, False, False)
+        x_670 = None
+        x_672 = torch.nn.functional.layer_norm(
+            x_671,
+            (1792,),
+            l_self_modules_blocks_modules_51_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_51_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_671 = (
+            l_self_modules_blocks_modules_51_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_51_modules_norm1_parameters_bias_ = None
+        x_673 = x_667 + x_672
+        x_667 = x_672 = None
+        x_674 = torch._C._nn.linear(
+            x_673,
+            l_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_675 = torch._C._nn.gelu(x_674, approximate="none")
+        x_674 = None
+        x_676 = torch.nn.functional.dropout(x_675, 0.0, False, False)
+        x_675 = None
+        x_677 = torch._C._nn.linear(
+            x_676,
+            l_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_676 = (
+            l_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_678 = torch.nn.functional.dropout(x_677, 0.0, False, False)
+        x_677 = None
+        x_679 = torch.nn.functional.layer_norm(
+            x_678,
+            (1792,),
+            l_self_modules_blocks_modules_51_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_51_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_678 = (
+            l_self_modules_blocks_modules_51_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_51_modules_norm2_parameters_bias_ = None
+        x_680 = x_673 + x_679
+        x_673 = x_679 = None
+        qkv_bias_52 = torch.cat(
+            (
+                l_self_modules_blocks_modules_52_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_52_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_52_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_52_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_52_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_52_modules_attn_parameters_v_bias_ = None
+        qkv_104 = torch._C._nn.linear(
+            x_680,
+            weight=l_self_modules_blocks_modules_52_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_52,
+        )
+        l_self_modules_blocks_modules_52_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_52
+        ) = None
+        reshape_104 = qkv_104.reshape(1, 257, 3, 16, -1)
+        qkv_104 = None
+        qkv_105 = reshape_104.permute(2, 0, 3, 1, 4)
+        reshape_104 = None
+        unbind_52 = qkv_105.unbind(0)
+        qkv_105 = None
+        q_52 = unbind_52[0]
+        k_52 = unbind_52[1]
+        v_52 = unbind_52[2]
+        unbind_52 = None
+        x_681 = torch._C._nn.scaled_dot_product_attention(
+            q_52, k_52, v_52, attn_mask=None, dropout_p=0.0
+        )
+        q_52 = k_52 = v_52 = None
+        transpose_53 = x_681.transpose(1, 2)
+        x_681 = None
+        x_682 = transpose_53.reshape(1, 257, 1792)
+        transpose_53 = None
+        x_683 = torch._C._nn.linear(
+            x_682,
+            l_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_682 = l_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_684 = torch.nn.functional.dropout(x_683, 0.0, False, False)
+        x_683 = None
+        x_685 = torch.nn.functional.layer_norm(
+            x_684,
+            (1792,),
+            l_self_modules_blocks_modules_52_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_52_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_684 = (
+            l_self_modules_blocks_modules_52_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_52_modules_norm1_parameters_bias_ = None
+        x_686 = x_680 + x_685
+        x_680 = x_685 = None
+        x_687 = torch._C._nn.linear(
+            x_686,
+            l_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_688 = torch._C._nn.gelu(x_687, approximate="none")
+        x_687 = None
+        x_689 = torch.nn.functional.dropout(x_688, 0.0, False, False)
+        x_688 = None
+        x_690 = torch._C._nn.linear(
+            x_689,
+            l_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_689 = (
+            l_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_691 = torch.nn.functional.dropout(x_690, 0.0, False, False)
+        x_690 = None
+        x_692 = torch.nn.functional.layer_norm(
+            x_691,
+            (1792,),
+            l_self_modules_blocks_modules_52_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_52_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_691 = (
+            l_self_modules_blocks_modules_52_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_52_modules_norm2_parameters_bias_ = None
+        x_693 = x_686 + x_692
+        x_686 = x_692 = None
+        qkv_bias_53 = torch.cat(
+            (
+                l_self_modules_blocks_modules_53_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_53_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_53_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_53_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_53_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_53_modules_attn_parameters_v_bias_ = None
+        qkv_106 = torch._C._nn.linear(
+            x_693,
+            weight=l_self_modules_blocks_modules_53_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_53,
+        )
+        l_self_modules_blocks_modules_53_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_53
+        ) = None
+        reshape_106 = qkv_106.reshape(1, 257, 3, 16, -1)
+        qkv_106 = None
+        qkv_107 = reshape_106.permute(2, 0, 3, 1, 4)
+        reshape_106 = None
+        unbind_53 = qkv_107.unbind(0)
+        qkv_107 = None
+        q_53 = unbind_53[0]
+        k_53 = unbind_53[1]
+        v_53 = unbind_53[2]
+        unbind_53 = None
+        x_694 = torch._C._nn.scaled_dot_product_attention(
+            q_53, k_53, v_53, attn_mask=None, dropout_p=0.0
+        )
+        q_53 = k_53 = v_53 = None
+        transpose_54 = x_694.transpose(1, 2)
+        x_694 = None
+        x_695 = transpose_54.reshape(1, 257, 1792)
+        transpose_54 = None
+        x_696 = torch._C._nn.linear(
+            x_695,
+            l_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_695 = l_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_697 = torch.nn.functional.dropout(x_696, 0.0, False, False)
+        x_696 = None
+        x_698 = torch.nn.functional.layer_norm(
+            x_697,
+            (1792,),
+            l_self_modules_blocks_modules_53_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_53_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_697 = (
+            l_self_modules_blocks_modules_53_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_53_modules_norm1_parameters_bias_ = None
+        x_699 = x_693 + x_698
+        x_693 = x_698 = None
+        x_700 = torch._C._nn.linear(
+            x_699,
+            l_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_701 = torch._C._nn.gelu(x_700, approximate="none")
+        x_700 = None
+        x_702 = torch.nn.functional.dropout(x_701, 0.0, False, False)
+        x_701 = None
+        x_703 = torch._C._nn.linear(
+            x_702,
+            l_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_702 = (
+            l_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_704 = torch.nn.functional.dropout(x_703, 0.0, False, False)
+        x_703 = None
+        x_705 = torch.nn.functional.layer_norm(
+            x_704,
+            (1792,),
+            l_self_modules_blocks_modules_53_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_53_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_704 = (
+            l_self_modules_blocks_modules_53_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_53_modules_norm2_parameters_bias_ = None
+        x_706 = x_699 + x_705
+        x_699 = x_705 = None
+        qkv_bias_54 = torch.cat(
+            (
+                l_self_modules_blocks_modules_54_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_54_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_54_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_54_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_54_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_54_modules_attn_parameters_v_bias_ = None
+        qkv_108 = torch._C._nn.linear(
+            x_706,
+            weight=l_self_modules_blocks_modules_54_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_54,
+        )
+        l_self_modules_blocks_modules_54_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_54
+        ) = None
+        reshape_108 = qkv_108.reshape(1, 257, 3, 16, -1)
+        qkv_108 = None
+        qkv_109 = reshape_108.permute(2, 0, 3, 1, 4)
+        reshape_108 = None
+        unbind_54 = qkv_109.unbind(0)
+        qkv_109 = None
+        q_54 = unbind_54[0]
+        k_54 = unbind_54[1]
+        v_54 = unbind_54[2]
+        unbind_54 = None
+        x_707 = torch._C._nn.scaled_dot_product_attention(
+            q_54, k_54, v_54, attn_mask=None, dropout_p=0.0
+        )
+        q_54 = k_54 = v_54 = None
+        transpose_55 = x_707.transpose(1, 2)
+        x_707 = None
+        x_708 = transpose_55.reshape(1, 257, 1792)
+        transpose_55 = None
+        x_709 = torch._C._nn.linear(
+            x_708,
+            l_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_708 = l_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_710 = torch.nn.functional.dropout(x_709, 0.0, False, False)
+        x_709 = None
+        x_711 = torch.nn.functional.layer_norm(
+            x_710,
+            (1792,),
+            l_self_modules_blocks_modules_54_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_54_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_710 = (
+            l_self_modules_blocks_modules_54_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_54_modules_norm1_parameters_bias_ = None
+        x_712 = x_706 + x_711
+        x_706 = x_711 = None
+        x_713 = torch._C._nn.linear(
+            x_712,
+            l_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_714 = torch._C._nn.gelu(x_713, approximate="none")
+        x_713 = None
+        x_715 = torch.nn.functional.dropout(x_714, 0.0, False, False)
+        x_714 = None
+        x_716 = torch._C._nn.linear(
+            x_715,
+            l_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_715 = (
+            l_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_717 = torch.nn.functional.dropout(x_716, 0.0, False, False)
+        x_716 = None
+        x_718 = torch.nn.functional.layer_norm(
+            x_717,
+            (1792,),
+            l_self_modules_blocks_modules_54_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_54_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_717 = (
+            l_self_modules_blocks_modules_54_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_54_modules_norm2_parameters_bias_ = None
+        x_719 = x_712 + x_718
+        x_712 = x_718 = None
+        qkv_bias_55 = torch.cat(
+            (
+                l_self_modules_blocks_modules_55_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_55_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_55_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_55_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_55_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_55_modules_attn_parameters_v_bias_ = None
+        qkv_110 = torch._C._nn.linear(
+            x_719,
+            weight=l_self_modules_blocks_modules_55_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_55,
+        )
+        l_self_modules_blocks_modules_55_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_55
+        ) = None
+        reshape_110 = qkv_110.reshape(1, 257, 3, 16, -1)
+        qkv_110 = None
+        qkv_111 = reshape_110.permute(2, 0, 3, 1, 4)
+        reshape_110 = None
+        unbind_55 = qkv_111.unbind(0)
+        qkv_111 = None
+        q_55 = unbind_55[0]
+        k_55 = unbind_55[1]
+        v_55 = unbind_55[2]
+        unbind_55 = None
+        x_720 = torch._C._nn.scaled_dot_product_attention(
+            q_55, k_55, v_55, attn_mask=None, dropout_p=0.0
+        )
+        q_55 = k_55 = v_55 = None
+        transpose_56 = x_720.transpose(1, 2)
+        x_720 = None
+        x_721 = transpose_56.reshape(1, 257, 1792)
+        transpose_56 = None
+        x_722 = torch._C._nn.linear(
+            x_721,
+            l_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_721 = l_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_723 = torch.nn.functional.dropout(x_722, 0.0, False, False)
+        x_722 = None
+        x_724 = torch.nn.functional.layer_norm(
+            x_723,
+            (1792,),
+            l_self_modules_blocks_modules_55_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_55_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_723 = (
+            l_self_modules_blocks_modules_55_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_55_modules_norm1_parameters_bias_ = None
+        x_725 = x_719 + x_724
+        x_719 = x_724 = None
+        x_726 = torch._C._nn.linear(
+            x_725,
+            l_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_727 = torch._C._nn.gelu(x_726, approximate="none")
+        x_726 = None
+        x_728 = torch.nn.functional.dropout(x_727, 0.0, False, False)
+        x_727 = None
+        x_729 = torch._C._nn.linear(
+            x_728,
+            l_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_728 = (
+            l_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_730 = torch.nn.functional.dropout(x_729, 0.0, False, False)
+        x_729 = None
+        x_731 = torch.nn.functional.layer_norm(
+            x_730,
+            (1792,),
+            l_self_modules_blocks_modules_55_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_55_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_730 = (
+            l_self_modules_blocks_modules_55_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_55_modules_norm2_parameters_bias_ = None
+        x_732 = x_725 + x_731
+        x_725 = x_731 = None
+        qkv_bias_56 = torch.cat(
+            (
+                l_self_modules_blocks_modules_56_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_56_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_56_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_56_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_56_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_56_modules_attn_parameters_v_bias_ = None
+        qkv_112 = torch._C._nn.linear(
+            x_732,
+            weight=l_self_modules_blocks_modules_56_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_56,
+        )
+        l_self_modules_blocks_modules_56_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_56
+        ) = None
+        reshape_112 = qkv_112.reshape(1, 257, 3, 16, -1)
+        qkv_112 = None
+        qkv_113 = reshape_112.permute(2, 0, 3, 1, 4)
+        reshape_112 = None
+        unbind_56 = qkv_113.unbind(0)
+        qkv_113 = None
+        q_56 = unbind_56[0]
+        k_56 = unbind_56[1]
+        v_56 = unbind_56[2]
+        unbind_56 = None
+        x_733 = torch._C._nn.scaled_dot_product_attention(
+            q_56, k_56, v_56, attn_mask=None, dropout_p=0.0
+        )
+        q_56 = k_56 = v_56 = None
+        transpose_57 = x_733.transpose(1, 2)
+        x_733 = None
+        x_734 = transpose_57.reshape(1, 257, 1792)
+        transpose_57 = None
+        x_735 = torch._C._nn.linear(
+            x_734,
+            l_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_734 = l_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_736 = torch.nn.functional.dropout(x_735, 0.0, False, False)
+        x_735 = None
+        x_737 = torch.nn.functional.layer_norm(
+            x_736,
+            (1792,),
+            l_self_modules_blocks_modules_56_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_56_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_736 = (
+            l_self_modules_blocks_modules_56_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_56_modules_norm1_parameters_bias_ = None
+        x_738 = x_732 + x_737
+        x_732 = x_737 = None
+        x_739 = torch._C._nn.linear(
+            x_738,
+            l_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_740 = torch._C._nn.gelu(x_739, approximate="none")
+        x_739 = None
+        x_741 = torch.nn.functional.dropout(x_740, 0.0, False, False)
+        x_740 = None
+        x_742 = torch._C._nn.linear(
+            x_741,
+            l_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_741 = (
+            l_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_743 = torch.nn.functional.dropout(x_742, 0.0, False, False)
+        x_742 = None
+        x_744 = torch.nn.functional.layer_norm(
+            x_743,
+            (1792,),
+            l_self_modules_blocks_modules_56_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_56_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_743 = (
+            l_self_modules_blocks_modules_56_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_56_modules_norm2_parameters_bias_ = None
+        x_745 = x_738 + x_744
+        x_738 = x_744 = None
+        qkv_bias_57 = torch.cat(
+            (
+                l_self_modules_blocks_modules_57_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_57_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_57_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_57_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_57_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_57_modules_attn_parameters_v_bias_ = None
+        qkv_114 = torch._C._nn.linear(
+            x_745,
+            weight=l_self_modules_blocks_modules_57_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_57,
+        )
+        l_self_modules_blocks_modules_57_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_57
+        ) = None
+        reshape_114 = qkv_114.reshape(1, 257, 3, 16, -1)
+        qkv_114 = None
+        qkv_115 = reshape_114.permute(2, 0, 3, 1, 4)
+        reshape_114 = None
+        unbind_57 = qkv_115.unbind(0)
+        qkv_115 = None
+        q_57 = unbind_57[0]
+        k_57 = unbind_57[1]
+        v_57 = unbind_57[2]
+        unbind_57 = None
+        x_746 = torch._C._nn.scaled_dot_product_attention(
+            q_57, k_57, v_57, attn_mask=None, dropout_p=0.0
+        )
+        q_57 = k_57 = v_57 = None
+        transpose_58 = x_746.transpose(1, 2)
+        x_746 = None
+        x_747 = transpose_58.reshape(1, 257, 1792)
+        transpose_58 = None
+        x_748 = torch._C._nn.linear(
+            x_747,
+            l_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_747 = l_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_749 = torch.nn.functional.dropout(x_748, 0.0, False, False)
+        x_748 = None
+        x_750 = torch.nn.functional.layer_norm(
+            x_749,
+            (1792,),
+            l_self_modules_blocks_modules_57_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_57_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_749 = (
+            l_self_modules_blocks_modules_57_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_57_modules_norm1_parameters_bias_ = None
+        x_751 = x_745 + x_750
+        x_745 = x_750 = None
+        x_752 = torch._C._nn.linear(
+            x_751,
+            l_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_753 = torch._C._nn.gelu(x_752, approximate="none")
+        x_752 = None
+        x_754 = torch.nn.functional.dropout(x_753, 0.0, False, False)
+        x_753 = None
+        x_755 = torch._C._nn.linear(
+            x_754,
+            l_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_754 = (
+            l_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_756 = torch.nn.functional.dropout(x_755, 0.0, False, False)
+        x_755 = None
+        x_757 = torch.nn.functional.layer_norm(
+            x_756,
+            (1792,),
+            l_self_modules_blocks_modules_57_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_57_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_756 = (
+            l_self_modules_blocks_modules_57_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_57_modules_norm2_parameters_bias_ = None
+        x_758 = x_751 + x_757
+        x_751 = x_757 = None
+        qkv_bias_58 = torch.cat(
+            (
+                l_self_modules_blocks_modules_58_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_58_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_58_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_58_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_58_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_58_modules_attn_parameters_v_bias_ = None
+        qkv_116 = torch._C._nn.linear(
+            x_758,
+            weight=l_self_modules_blocks_modules_58_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_58,
+        )
+        l_self_modules_blocks_modules_58_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_58
+        ) = None
+        reshape_116 = qkv_116.reshape(1, 257, 3, 16, -1)
+        qkv_116 = None
+        qkv_117 = reshape_116.permute(2, 0, 3, 1, 4)
+        reshape_116 = None
+        unbind_58 = qkv_117.unbind(0)
+        qkv_117 = None
+        q_58 = unbind_58[0]
+        k_58 = unbind_58[1]
+        v_58 = unbind_58[2]
+        unbind_58 = None
+        x_759 = torch._C._nn.scaled_dot_product_attention(
+            q_58, k_58, v_58, attn_mask=None, dropout_p=0.0
+        )
+        q_58 = k_58 = v_58 = None
+        transpose_59 = x_759.transpose(1, 2)
+        x_759 = None
+        x_760 = transpose_59.reshape(1, 257, 1792)
+        transpose_59 = None
+        x_761 = torch._C._nn.linear(
+            x_760,
+            l_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_760 = l_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_762 = torch.nn.functional.dropout(x_761, 0.0, False, False)
+        x_761 = None
+        x_763 = torch.nn.functional.layer_norm(
+            x_762,
+            (1792,),
+            l_self_modules_blocks_modules_58_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_58_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_762 = (
+            l_self_modules_blocks_modules_58_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_58_modules_norm1_parameters_bias_ = None
+        x_764 = x_758 + x_763
+        x_758 = x_763 = None
+        x_765 = torch._C._nn.linear(
+            x_764,
+            l_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_766 = torch._C._nn.gelu(x_765, approximate="none")
+        x_765 = None
+        x_767 = torch.nn.functional.dropout(x_766, 0.0, False, False)
+        x_766 = None
+        x_768 = torch._C._nn.linear(
+            x_767,
+            l_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_767 = (
+            l_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_769 = torch.nn.functional.dropout(x_768, 0.0, False, False)
+        x_768 = None
+        x_770 = torch.nn.functional.layer_norm(
+            x_769,
+            (1792,),
+            l_self_modules_blocks_modules_58_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_58_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_769 = (
+            l_self_modules_blocks_modules_58_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_58_modules_norm2_parameters_bias_ = None
+        x_771 = x_764 + x_770
+        x_764 = x_770 = None
+        qkv_bias_59 = torch.cat(
+            (
+                l_self_modules_blocks_modules_59_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_59_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_59_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_59_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_59_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_59_modules_attn_parameters_v_bias_ = None
+        qkv_118 = torch._C._nn.linear(
+            x_771,
+            weight=l_self_modules_blocks_modules_59_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_59,
+        )
+        l_self_modules_blocks_modules_59_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_59
+        ) = None
+        reshape_118 = qkv_118.reshape(1, 257, 3, 16, -1)
+        qkv_118 = None
+        qkv_119 = reshape_118.permute(2, 0, 3, 1, 4)
+        reshape_118 = None
+        unbind_59 = qkv_119.unbind(0)
+        qkv_119 = None
+        q_59 = unbind_59[0]
+        k_59 = unbind_59[1]
+        v_59 = unbind_59[2]
+        unbind_59 = None
+        x_772 = torch._C._nn.scaled_dot_product_attention(
+            q_59, k_59, v_59, attn_mask=None, dropout_p=0.0
+        )
+        q_59 = k_59 = v_59 = None
+        transpose_60 = x_772.transpose(1, 2)
+        x_772 = None
+        x_773 = transpose_60.reshape(1, 257, 1792)
+        transpose_60 = None
+        x_774 = torch._C._nn.linear(
+            x_773,
+            l_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_773 = l_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_775 = torch.nn.functional.dropout(x_774, 0.0, False, False)
+        x_774 = None
+        x_776 = torch.nn.functional.layer_norm(
+            x_775,
+            (1792,),
+            l_self_modules_blocks_modules_59_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_59_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_775 = (
+            l_self_modules_blocks_modules_59_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_59_modules_norm1_parameters_bias_ = None
+        x_777 = x_771 + x_776
+        x_771 = x_776 = None
+        x_778 = torch._C._nn.linear(
+            x_777,
+            l_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_779 = torch._C._nn.gelu(x_778, approximate="none")
+        x_778 = None
+        x_780 = torch.nn.functional.dropout(x_779, 0.0, False, False)
+        x_779 = None
+        x_781 = torch._C._nn.linear(
+            x_780,
+            l_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_780 = (
+            l_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_782 = torch.nn.functional.dropout(x_781, 0.0, False, False)
+        x_781 = None
+        x_783 = torch.nn.functional.layer_norm(
+            x_782,
+            (1792,),
+            l_self_modules_blocks_modules_59_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_59_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_782 = (
+            l_self_modules_blocks_modules_59_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_59_modules_norm2_parameters_bias_ = None
+        x_784 = x_777 + x_783
+        x_777 = x_783 = None
+        qkv_bias_60 = torch.cat(
+            (
+                l_self_modules_blocks_modules_60_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_60_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_60_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_60_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_60_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_60_modules_attn_parameters_v_bias_ = None
+        qkv_120 = torch._C._nn.linear(
+            x_784,
+            weight=l_self_modules_blocks_modules_60_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_60,
+        )
+        l_self_modules_blocks_modules_60_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_60
+        ) = None
+        reshape_120 = qkv_120.reshape(1, 257, 3, 16, -1)
+        qkv_120 = None
+        qkv_121 = reshape_120.permute(2, 0, 3, 1, 4)
+        reshape_120 = None
+        unbind_60 = qkv_121.unbind(0)
+        qkv_121 = None
+        q_60 = unbind_60[0]
+        k_60 = unbind_60[1]
+        v_60 = unbind_60[2]
+        unbind_60 = None
+        x_785 = torch._C._nn.scaled_dot_product_attention(
+            q_60, k_60, v_60, attn_mask=None, dropout_p=0.0
+        )
+        q_60 = k_60 = v_60 = None
+        transpose_61 = x_785.transpose(1, 2)
+        x_785 = None
+        x_786 = transpose_61.reshape(1, 257, 1792)
+        transpose_61 = None
+        x_787 = torch._C._nn.linear(
+            x_786,
+            l_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_786 = l_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_788 = torch.nn.functional.dropout(x_787, 0.0, False, False)
+        x_787 = None
+        x_789 = torch.nn.functional.layer_norm(
+            x_788,
+            (1792,),
+            l_self_modules_blocks_modules_60_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_60_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_788 = (
+            l_self_modules_blocks_modules_60_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_60_modules_norm1_parameters_bias_ = None
+        x_790 = x_784 + x_789
+        x_784 = x_789 = None
+        x_791 = torch._C._nn.linear(
+            x_790,
+            l_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_792 = torch._C._nn.gelu(x_791, approximate="none")
+        x_791 = None
+        x_793 = torch.nn.functional.dropout(x_792, 0.0, False, False)
+        x_792 = None
+        x_794 = torch._C._nn.linear(
+            x_793,
+            l_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_793 = (
+            l_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_795 = torch.nn.functional.dropout(x_794, 0.0, False, False)
+        x_794 = None
+        x_796 = torch.nn.functional.layer_norm(
+            x_795,
+            (1792,),
+            l_self_modules_blocks_modules_60_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_60_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_795 = (
+            l_self_modules_blocks_modules_60_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_60_modules_norm2_parameters_bias_ = None
+        x_797 = x_790 + x_796
+        x_790 = x_796 = None
+        qkv_bias_61 = torch.cat(
+            (
+                l_self_modules_blocks_modules_61_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_61_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_61_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_61_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_61_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_61_modules_attn_parameters_v_bias_ = None
+        qkv_122 = torch._C._nn.linear(
+            x_797,
+            weight=l_self_modules_blocks_modules_61_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_61,
+        )
+        l_self_modules_blocks_modules_61_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_61
+        ) = None
+        reshape_122 = qkv_122.reshape(1, 257, 3, 16, -1)
+        qkv_122 = None
+        qkv_123 = reshape_122.permute(2, 0, 3, 1, 4)
+        reshape_122 = None
+        unbind_61 = qkv_123.unbind(0)
+        qkv_123 = None
+        q_61 = unbind_61[0]
+        k_61 = unbind_61[1]
+        v_61 = unbind_61[2]
+        unbind_61 = None
+        x_798 = torch._C._nn.scaled_dot_product_attention(
+            q_61, k_61, v_61, attn_mask=None, dropout_p=0.0
+        )
+        q_61 = k_61 = v_61 = None
+        transpose_62 = x_798.transpose(1, 2)
+        x_798 = None
+        x_799 = transpose_62.reshape(1, 257, 1792)
+        transpose_62 = None
+        x_800 = torch._C._nn.linear(
+            x_799,
+            l_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_799 = l_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_801 = torch.nn.functional.dropout(x_800, 0.0, False, False)
+        x_800 = None
+        x_802 = torch.nn.functional.layer_norm(
+            x_801,
+            (1792,),
+            l_self_modules_blocks_modules_61_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_61_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_801 = (
+            l_self_modules_blocks_modules_61_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_61_modules_norm1_parameters_bias_ = None
+        x_803 = x_797 + x_802
+        x_797 = x_802 = None
+        x_804 = torch._C._nn.linear(
+            x_803,
+            l_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_805 = torch._C._nn.gelu(x_804, approximate="none")
+        x_804 = None
+        x_806 = torch.nn.functional.dropout(x_805, 0.0, False, False)
+        x_805 = None
+        x_807 = torch._C._nn.linear(
+            x_806,
+            l_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_806 = (
+            l_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_808 = torch.nn.functional.dropout(x_807, 0.0, False, False)
+        x_807 = None
+        x_809 = torch.nn.functional.layer_norm(
+            x_808,
+            (1792,),
+            l_self_modules_blocks_modules_61_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_61_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_808 = (
+            l_self_modules_blocks_modules_61_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_61_modules_norm2_parameters_bias_ = None
+        x_810 = x_803 + x_809
+        x_803 = x_809 = None
+        qkv_bias_62 = torch.cat(
+            (
+                l_self_modules_blocks_modules_62_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_62_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_62_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_62_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_62_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_62_modules_attn_parameters_v_bias_ = None
+        qkv_124 = torch._C._nn.linear(
+            x_810,
+            weight=l_self_modules_blocks_modules_62_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_62,
+        )
+        l_self_modules_blocks_modules_62_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_62
+        ) = None
+        reshape_124 = qkv_124.reshape(1, 257, 3, 16, -1)
+        qkv_124 = None
+        qkv_125 = reshape_124.permute(2, 0, 3, 1, 4)
+        reshape_124 = None
+        unbind_62 = qkv_125.unbind(0)
+        qkv_125 = None
+        q_62 = unbind_62[0]
+        k_62 = unbind_62[1]
+        v_62 = unbind_62[2]
+        unbind_62 = None
+        x_811 = torch._C._nn.scaled_dot_product_attention(
+            q_62, k_62, v_62, attn_mask=None, dropout_p=0.0
+        )
+        q_62 = k_62 = v_62 = None
+        transpose_63 = x_811.transpose(1, 2)
+        x_811 = None
+        x_812 = transpose_63.reshape(1, 257, 1792)
+        transpose_63 = None
+        x_813 = torch._C._nn.linear(
+            x_812,
+            l_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_812 = l_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_814 = torch.nn.functional.dropout(x_813, 0.0, False, False)
+        x_813 = None
+        x_815 = torch.nn.functional.layer_norm(
+            x_814,
+            (1792,),
+            l_self_modules_blocks_modules_62_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_62_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_814 = (
+            l_self_modules_blocks_modules_62_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_62_modules_norm1_parameters_bias_ = None
+        x_816 = x_810 + x_815
+        x_810 = x_815 = None
+        x_817 = torch._C._nn.linear(
+            x_816,
+            l_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_818 = torch._C._nn.gelu(x_817, approximate="none")
+        x_817 = None
+        x_819 = torch.nn.functional.dropout(x_818, 0.0, False, False)
+        x_818 = None
+        x_820 = torch._C._nn.linear(
+            x_819,
+            l_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_819 = (
+            l_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_821 = torch.nn.functional.dropout(x_820, 0.0, False, False)
+        x_820 = None
+        x_822 = torch.nn.functional.layer_norm(
+            x_821,
+            (1792,),
+            l_self_modules_blocks_modules_62_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_62_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_821 = (
+            l_self_modules_blocks_modules_62_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_62_modules_norm2_parameters_bias_ = None
+        x_823 = x_816 + x_822
+        x_816 = x_822 = None
+        qkv_bias_63 = torch.cat(
+            (
+                l_self_modules_blocks_modules_63_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_63_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_63_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_63_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_63_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_63_modules_attn_parameters_v_bias_ = None
+        qkv_126 = torch._C._nn.linear(
+            x_823,
+            weight=l_self_modules_blocks_modules_63_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_63,
+        )
+        l_self_modules_blocks_modules_63_modules_attn_modules_qkv_parameters_weight_ = (
+            qkv_bias_63
+        ) = None
+        reshape_126 = qkv_126.reshape(1, 257, 3, 16, -1)
+        qkv_126 = None
+        qkv_127 = reshape_126.permute(2, 0, 3, 1, 4)
+        reshape_126 = None
+        unbind_63 = qkv_127.unbind(0)
+        qkv_127 = None
+        q_63 = unbind_63[0]
+        k_63 = unbind_63[1]
+        v_63 = unbind_63[2]
+        unbind_63 = None
+        x_824 = torch._C._nn.scaled_dot_product_attention(
+            q_63, k_63, v_63, attn_mask=None, dropout_p=0.0
+        )
+        q_63 = k_63 = v_63 = None
+        transpose_64 = x_824.transpose(1, 2)
+        x_824 = None
+        x_825 = transpose_64.reshape(1, 257, 1792)
+        transpose_64 = None
+        x_826 = torch._C._nn.linear(
+            x_825,
+            l_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_825 = l_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_827 = torch.nn.functional.dropout(x_826, 0.0, False, False)
+        x_826 = None
+        x_828 = torch.nn.functional.layer_norm(
+            x_827,
+            (1792,),
+            l_self_modules_blocks_modules_63_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_63_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        x_827 = (
+            l_self_modules_blocks_modules_63_modules_norm1_parameters_weight_
+        ) = l_self_modules_blocks_modules_63_modules_norm1_parameters_bias_ = None
+        x_829 = x_823 + x_828
+        x_823 = x_828 = None
+        x_830 = torch._C._nn.linear(
+            x_829,
+            l_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_weight_ = (
+            l_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_831 = torch._C._nn.gelu(x_830, approximate="none")
+        x_830 = None
+        x_832 = torch.nn.functional.dropout(x_831, 0.0, False, False)
+        x_831 = None
+        x_833 = torch._C._nn.linear(
+            x_832,
+            l_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_832 = (
+            l_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_834 = torch.nn.functional.dropout(x_833, 0.0, False, False)
+        x_833 = None
+        x_835 = torch.nn.functional.layer_norm(
+            x_834,
+            (1792,),
+            l_self_modules_blocks_modules_63_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_63_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        x_834 = (
+            l_self_modules_blocks_modules_63_modules_norm2_parameters_weight_
+        ) = l_self_modules_blocks_modules_63_modules_norm2_parameters_bias_ = None
+        x_836 = x_829 + x_835
+        x_829 = x_835 = None
+        x_837 = torch.nn.functional.layer_norm(
+            x_836,
+            (1792,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_836 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_838 = x_837[(slice(None, None, None), 0)]
+        x_837 = None
+        x_839 = torch.nn.functional.dropout(x_838, 0.0, False, False)
+        x_838 = None
+        x_840 = torch._C._nn.linear(
+            x_839,
+            l_self_modules_head_parameters_weight_,
+            l_self_modules_head_parameters_bias_,
+        )
+        x_839 = (
+            l_self_modules_head_parameters_weight_
+        ) = l_self_modules_head_parameters_bias_ = None
+        return (x_840,)
diff --git a/samples/timm/eva02_enormous_patch14_clip_224.laion2b/weight_meta.py b/samples/timm/eva02_enormous_patch14_clip_224.laion2b/weight_meta.py
new file mode 100644
index 000000000..a7f68c7c0
--- /dev/null
+++ b/samples/timm/eva02_enormous_patch14_clip_224.laion2b/weight_meta.py
@@ -0,0 +1,9284 @@
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.223
+    std = 1.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [1792, 3, 14, 14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_pos_embed_:
+    name = "L_self_parameters_pos_embed_"
+    shape = [1, 257, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_cls_token_:
+    name = "L_self_parameters_cls_token_"
+    shape = [1, 1, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_"
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_"
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_"
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_"
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_"
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_"
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_"
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_"
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_"
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_"
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_40_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_40_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_40_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_40_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_40_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_40_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_40_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_40_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_40_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_40_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_40_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_40_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_41_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_41_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_41_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_41_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_41_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_41_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_41_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_41_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_41_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_41_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_41_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_41_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_42_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_42_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_42_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_42_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_42_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_42_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_42_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_42_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_42_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_42_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_42_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_42_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_43_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_43_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_43_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_43_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_43_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_43_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_43_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_43_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_43_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_43_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_43_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_43_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_44_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_44_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_44_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_44_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_44_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_44_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_44_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_44_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_44_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_44_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_44_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_44_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_45_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_45_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_45_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_45_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_45_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_45_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_45_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_45_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_45_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_45_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_45_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_45_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_46_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_46_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_46_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_46_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_46_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_46_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_46_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_46_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_46_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_46_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_46_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_46_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_47_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_47_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_47_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_47_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_47_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_47_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_47_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_47_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_47_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_47_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_47_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_47_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_48_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_48_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_48_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_48_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_48_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_48_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_48_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_48_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_48_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_48_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_48_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_48_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_49_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_49_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_49_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_49_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_49_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_49_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_49_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_49_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_49_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_49_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_49_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_49_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_50_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_50_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_50_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_50_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_50_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_50_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_50_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_50_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_50_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_50_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_50_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_50_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_51_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_51_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_51_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_51_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_51_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_51_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_51_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_51_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_51_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_51_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_51_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_51_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_52_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_52_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_52_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_52_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_52_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_52_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_52_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_52_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_52_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_52_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_52_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_52_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_53_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_53_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_53_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_53_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_53_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_53_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_53_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_53_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_53_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_53_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_53_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_53_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_54_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_54_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_54_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_54_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_54_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_54_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_54_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_54_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_54_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_54_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_54_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_54_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_55_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_55_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_55_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_55_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_55_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_55_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_55_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_55_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_55_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_55_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_55_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_55_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_56_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_56_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_56_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_56_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_56_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_56_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_56_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_56_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_56_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_56_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_56_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_56_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_57_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_57_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_57_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_57_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_57_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_57_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_57_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_57_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_57_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_57_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_57_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_57_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_58_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_58_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_58_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_58_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_58_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_58_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_58_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_58_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_58_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_58_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_58_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_58_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_59_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_59_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_59_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_59_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_59_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_59_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_59_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_59_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_59_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_59_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_59_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_59_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_60_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_60_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_60_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_60_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_60_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_60_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_60_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_60_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_60_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_60_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_60_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_60_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_61_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_61_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_61_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_61_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_61_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_61_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_61_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_61_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_61_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_61_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_61_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_61_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_62_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_62_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_62_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_62_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_62_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_62_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_62_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_62_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_62_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_62_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_62_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_62_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_63_modules_attn_parameters_q_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_63_modules_attn_buffers_k_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_63_modules_attn_parameters_v_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_63_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [5376, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1792, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_63_modules_attn_modules_proj_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_63_modules_norm1_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_63_modules_norm1_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [15360, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_63_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1792, 15360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_63_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_63_modules_norm2_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_63_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_63_modules_norm2_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_weight_:
+    name = "L_self_modules_head_parameters_weight_"
+    shape = [1024, 1792]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_bias_:
+    name = "L_self_modules_head_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/eva02_large_patch14_224.mim_in22k/graph_hash.txt b/samples/timm/eva02_large_patch14_224.mim_in22k/graph_hash.txt
new file mode 100644
index 000000000..30ef33f18
--- /dev/null
+++ b/samples/timm/eva02_large_patch14_224.mim_in22k/graph_hash.txt
@@ -0,0 +1 @@
+73d935858c793c4b5936cbfde7d05d97616ee94fd770e923329b7b71ec122fa7
\ No newline at end of file
diff --git a/samples/timm/eva02_large_patch14_224.mim_in22k/graph_net.json b/samples/timm/eva02_large_patch14_224.mim_in22k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/eva02_large_patch14_224.mim_in22k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/eva02_large_patch14_224.mim_in22k/input_meta.py b/samples/timm/eva02_large_patch14_224.mim_in22k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_large_patch14_224.mim_in22k/input_tensor_constraints.py b/samples/timm/eva02_large_patch14_224.mim_in22k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_large_patch14_224.mim_in22k/model.py b/samples/timm/eva02_large_patch14_224.mim_in22k/model.py
new file mode 100644
index 000000000..ca5ccd2c8
--- /dev/null
+++ b/samples/timm/eva02_large_patch14_224.mim_in22k/model.py
@@ -0,0 +1,6497 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_parameters_pos_embed_: torch.nn.parameter.Parameter,
+        L_self_modules_rope_buffers_pos_embed_: torch.Tensor,
+        L_self_parameters_cls_token_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_num_prefix_tokens: torch.SymInt,
+        L_self_modules_fc_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_norm_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_proj_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_bias_
+        )
+        l_self_parameters_pos_embed_ = L_self_parameters_pos_embed_
+        l_self_modules_rope_buffers_pos_embed_ = L_self_modules_rope_buffers_pos_embed_
+        l_self_parameters_cls_token_ = L_self_parameters_cls_token_
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_num_prefix_tokens = L_self_num_prefix_tokens
+        l_self_modules_fc_norm_parameters_weight_ = (
+            L_self_modules_fc_norm_parameters_weight_
+        )
+        l_self_modules_fc_norm_parameters_bias_ = (
+            L_self_modules_fc_norm_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            l_self_modules_patch_embed_modules_proj_parameters_bias_,
+            (14, 14),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_patch_embed_modules_proj_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_proj_parameters_bias_ = None
+        flatten = x.flatten(2)
+        x = None
+        x_1 = flatten.transpose(1, 2)
+        flatten = None
+        expand = l_self_parameters_cls_token_.expand(1, -1, -1)
+        l_self_parameters_cls_token_ = None
+        x_2 = torch.cat([expand, x_1], dim=1)
+        expand = x_1 = None
+        x_3 = x_2 + l_self_parameters_pos_embed_
+        x_2 = l_self_parameters_pos_embed_ = None
+        x_4 = torch.nn.functional.dropout(x_3, 0.0, False, False)
+        x_3 = None
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (1024,),
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        ) = None
+        linear = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape = linear.reshape(1, 257, 16, -1)
+        linear = None
+        q = reshape.transpose(1, 2)
+        reshape = None
+        linear_1 = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_1 = linear_1.reshape(1, 257, 16, -1)
+        linear_1 = None
+        k = reshape_1.transpose(1, 2)
+        reshape_1 = None
+        linear_2 = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_5 = l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_2 = linear_2.reshape(1, 257, 16, -1)
+        linear_2 = None
+        v = reshape_2.transpose(1, 2)
+        reshape_2 = None
+        getitem_4 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_5 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q = None
+        tensor_split = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb = tensor_split[0]
+        cos_emb = tensor_split[1]
+        tensor_split = None
+        mul = getitem_5 * cos_emb
+        cos_emb = None
+        getitem_8 = getitem_5[(Ellipsis, slice(1, None, 2))]
+        neg = -getitem_8
+        getitem_8 = None
+        getitem_9 = getitem_5[(Ellipsis, slice(None, None, 2))]
+        getitem_5 = None
+        stack = torch.stack([neg, getitem_9], -1)
+        neg = getitem_9 = None
+        reshape_3 = stack.reshape((1, 16, 256, 64))
+        stack = None
+        mul_1 = reshape_3 * sin_emb
+        reshape_3 = sin_emb = None
+        add_1 = mul + mul_1
+        mul = mul_1 = None
+        cat_1 = torch.cat([getitem_4, add_1], dim=2)
+        getitem_4 = add_1 = None
+        q_1 = cat_1.type_as(v)
+        cat_1 = None
+        getitem_10 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_11 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k = None
+        tensor_split_1 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_1 = tensor_split_1[0]
+        cos_emb_1 = tensor_split_1[1]
+        tensor_split_1 = None
+        mul_2 = getitem_11 * cos_emb_1
+        cos_emb_1 = None
+        getitem_14 = getitem_11[(Ellipsis, slice(1, None, 2))]
+        neg_1 = -getitem_14
+        getitem_14 = None
+        getitem_15 = getitem_11[(Ellipsis, slice(None, None, 2))]
+        getitem_11 = None
+        stack_1 = torch.stack([neg_1, getitem_15], -1)
+        neg_1 = getitem_15 = None
+        reshape_4 = stack_1.reshape((1, 16, 256, 64))
+        stack_1 = None
+        mul_3 = reshape_4 * sin_emb_1
+        reshape_4 = sin_emb_1 = None
+        add_2 = mul_2 + mul_3
+        mul_2 = mul_3 = None
+        cat_2 = torch.cat([getitem_10, add_2], dim=2)
+        getitem_10 = add_2 = None
+        k_1 = cat_2.type_as(v)
+        cat_2 = None
+        x_6 = torch._C._nn.scaled_dot_product_attention(
+            q_1, k_1, v, attn_mask=None, dropout_p=0.0
+        )
+        q_1 = k_1 = v = None
+        transpose_4 = x_6.transpose(1, 2)
+        x_6 = None
+        x_7 = transpose_4.reshape(1, 257, 1024)
+        transpose_4 = None
+        x_8 = torch._C._nn.linear(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_9 = torch.nn.functional.dropout(x_8, 0.0, False, False)
+        x_8 = None
+        x_10 = x_4 + x_9
+        x_4 = x_9 = None
+        x_11 = torch.nn.functional.layer_norm(
+            x_10,
+            (1024,),
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        ) = None
+        x_gate = torch._C._nn.linear(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_12 = torch._C._nn.linear(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu = torch.nn.functional.silu(x_gate, inplace=False)
+        x_gate = None
+        x_13 = silu * x_12
+        silu = x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch.nn.functional.layer_norm(
+            x_14,
+            (2730,),
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_16 = torch._C._nn.linear(
+            x_15,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_17 = torch.nn.functional.dropout(x_16, 0.0, False, False)
+        x_16 = None
+        x_18 = x_10 + x_17
+        x_10 = x_17 = None
+        x_19 = torch.nn.functional.layer_norm(
+            x_18,
+            (1024,),
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        ) = None
+        linear_7 = torch._C._nn.linear(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_6 = linear_7.reshape(1, 257, 16, -1)
+        linear_7 = None
+        q_2 = reshape_6.transpose(1, 2)
+        reshape_6 = None
+        linear_8 = torch._C._nn.linear(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_7 = linear_8.reshape(1, 257, 16, -1)
+        linear_8 = None
+        k_2 = reshape_7.transpose(1, 2)
+        reshape_7 = None
+        linear_9 = torch._C._nn.linear(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_19 = l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_8 = linear_9.reshape(1, 257, 16, -1)
+        linear_9 = None
+        v_1 = reshape_8.transpose(1, 2)
+        reshape_8 = None
+        getitem_16 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_17 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_2 = None
+        tensor_split_2 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_2 = tensor_split_2[0]
+        cos_emb_2 = tensor_split_2[1]
+        tensor_split_2 = None
+        mul_5 = getitem_17 * cos_emb_2
+        cos_emb_2 = None
+        getitem_20 = getitem_17[(Ellipsis, slice(1, None, 2))]
+        neg_2 = -getitem_20
+        getitem_20 = None
+        getitem_21 = getitem_17[(Ellipsis, slice(None, None, 2))]
+        getitem_17 = None
+        stack_2 = torch.stack([neg_2, getitem_21], -1)
+        neg_2 = getitem_21 = None
+        reshape_9 = stack_2.reshape((1, 16, 256, 64))
+        stack_2 = None
+        mul_6 = reshape_9 * sin_emb_2
+        reshape_9 = sin_emb_2 = None
+        add_5 = mul_5 + mul_6
+        mul_5 = mul_6 = None
+        cat_3 = torch.cat([getitem_16, add_5], dim=2)
+        getitem_16 = add_5 = None
+        q_3 = cat_3.type_as(v_1)
+        cat_3 = None
+        getitem_22 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_23 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_2 = None
+        tensor_split_3 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_3 = tensor_split_3[0]
+        cos_emb_3 = tensor_split_3[1]
+        tensor_split_3 = None
+        mul_7 = getitem_23 * cos_emb_3
+        cos_emb_3 = None
+        getitem_26 = getitem_23[(Ellipsis, slice(1, None, 2))]
+        neg_3 = -getitem_26
+        getitem_26 = None
+        getitem_27 = getitem_23[(Ellipsis, slice(None, None, 2))]
+        getitem_23 = None
+        stack_3 = torch.stack([neg_3, getitem_27], -1)
+        neg_3 = getitem_27 = None
+        reshape_10 = stack_3.reshape((1, 16, 256, 64))
+        stack_3 = None
+        mul_8 = reshape_10 * sin_emb_3
+        reshape_10 = sin_emb_3 = None
+        add_6 = mul_7 + mul_8
+        mul_7 = mul_8 = None
+        cat_4 = torch.cat([getitem_22, add_6], dim=2)
+        getitem_22 = add_6 = None
+        k_3 = cat_4.type_as(v_1)
+        cat_4 = None
+        x_20 = torch._C._nn.scaled_dot_product_attention(
+            q_3, k_3, v_1, attn_mask=None, dropout_p=0.0
+        )
+        q_3 = k_3 = v_1 = None
+        transpose_8 = x_20.transpose(1, 2)
+        x_20 = None
+        x_21 = transpose_8.reshape(1, 257, 1024)
+        transpose_8 = None
+        x_22 = torch._C._nn.linear(
+            x_21,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_21 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_23 = torch.nn.functional.dropout(x_22, 0.0, False, False)
+        x_22 = None
+        x_24 = x_18 + x_23
+        x_18 = x_23 = None
+        x_25 = torch.nn.functional.layer_norm(
+            x_24,
+            (1024,),
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_1 = torch._C._nn.linear(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_26 = torch._C._nn.linear(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_1 = torch.nn.functional.silu(x_gate_1, inplace=False)
+        x_gate_1 = None
+        x_27 = silu_1 * x_26
+        silu_1 = x_26 = None
+        x_28 = torch.nn.functional.dropout(x_27, 0.0, False, False)
+        x_27 = None
+        x_29 = torch.nn.functional.layer_norm(
+            x_28,
+            (2730,),
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_30 = torch._C._nn.linear(
+            x_29,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_31 = torch.nn.functional.dropout(x_30, 0.0, False, False)
+        x_30 = None
+        x_32 = x_24 + x_31
+        x_24 = x_31 = None
+        x_33 = torch.nn.functional.layer_norm(
+            x_32,
+            (1024,),
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        ) = None
+        linear_14 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_12 = linear_14.reshape(1, 257, 16, -1)
+        linear_14 = None
+        q_4 = reshape_12.transpose(1, 2)
+        reshape_12 = None
+        linear_15 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_13 = linear_15.reshape(1, 257, 16, -1)
+        linear_15 = None
+        k_4 = reshape_13.transpose(1, 2)
+        reshape_13 = None
+        linear_16 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_33 = l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_14 = linear_16.reshape(1, 257, 16, -1)
+        linear_16 = None
+        v_2 = reshape_14.transpose(1, 2)
+        reshape_14 = None
+        getitem_28 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_29 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_4 = None
+        tensor_split_4 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_4 = tensor_split_4[0]
+        cos_emb_4 = tensor_split_4[1]
+        tensor_split_4 = None
+        mul_10 = getitem_29 * cos_emb_4
+        cos_emb_4 = None
+        getitem_32 = getitem_29[(Ellipsis, slice(1, None, 2))]
+        neg_4 = -getitem_32
+        getitem_32 = None
+        getitem_33 = getitem_29[(Ellipsis, slice(None, None, 2))]
+        getitem_29 = None
+        stack_4 = torch.stack([neg_4, getitem_33], -1)
+        neg_4 = getitem_33 = None
+        reshape_15 = stack_4.reshape((1, 16, 256, 64))
+        stack_4 = None
+        mul_11 = reshape_15 * sin_emb_4
+        reshape_15 = sin_emb_4 = None
+        add_9 = mul_10 + mul_11
+        mul_10 = mul_11 = None
+        cat_5 = torch.cat([getitem_28, add_9], dim=2)
+        getitem_28 = add_9 = None
+        q_5 = cat_5.type_as(v_2)
+        cat_5 = None
+        getitem_34 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_35 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_4 = None
+        tensor_split_5 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_5 = tensor_split_5[0]
+        cos_emb_5 = tensor_split_5[1]
+        tensor_split_5 = None
+        mul_12 = getitem_35 * cos_emb_5
+        cos_emb_5 = None
+        getitem_38 = getitem_35[(Ellipsis, slice(1, None, 2))]
+        neg_5 = -getitem_38
+        getitem_38 = None
+        getitem_39 = getitem_35[(Ellipsis, slice(None, None, 2))]
+        getitem_35 = None
+        stack_5 = torch.stack([neg_5, getitem_39], -1)
+        neg_5 = getitem_39 = None
+        reshape_16 = stack_5.reshape((1, 16, 256, 64))
+        stack_5 = None
+        mul_13 = reshape_16 * sin_emb_5
+        reshape_16 = sin_emb_5 = None
+        add_10 = mul_12 + mul_13
+        mul_12 = mul_13 = None
+        cat_6 = torch.cat([getitem_34, add_10], dim=2)
+        getitem_34 = add_10 = None
+        k_5 = cat_6.type_as(v_2)
+        cat_6 = None
+        x_34 = torch._C._nn.scaled_dot_product_attention(
+            q_5, k_5, v_2, attn_mask=None, dropout_p=0.0
+        )
+        q_5 = k_5 = v_2 = None
+        transpose_12 = x_34.transpose(1, 2)
+        x_34 = None
+        x_35 = transpose_12.reshape(1, 257, 1024)
+        transpose_12 = None
+        x_36 = torch._C._nn.linear(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_37 = torch.nn.functional.dropout(x_36, 0.0, False, False)
+        x_36 = None
+        x_38 = x_32 + x_37
+        x_32 = x_37 = None
+        x_39 = torch.nn.functional.layer_norm(
+            x_38,
+            (1024,),
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_2 = torch._C._nn.linear(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_40 = torch._C._nn.linear(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_2 = torch.nn.functional.silu(x_gate_2, inplace=False)
+        x_gate_2 = None
+        x_41 = silu_2 * x_40
+        silu_2 = x_40 = None
+        x_42 = torch.nn.functional.dropout(x_41, 0.0, False, False)
+        x_41 = None
+        x_43 = torch.nn.functional.layer_norm(
+            x_42,
+            (2730,),
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_44 = torch._C._nn.linear(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_45 = torch.nn.functional.dropout(x_44, 0.0, False, False)
+        x_44 = None
+        x_46 = x_38 + x_45
+        x_38 = x_45 = None
+        x_47 = torch.nn.functional.layer_norm(
+            x_46,
+            (1024,),
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        ) = None
+        linear_21 = torch._C._nn.linear(
+            x_47,
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_18 = linear_21.reshape(1, 257, 16, -1)
+        linear_21 = None
+        q_6 = reshape_18.transpose(1, 2)
+        reshape_18 = None
+        linear_22 = torch._C._nn.linear(
+            x_47,
+            l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_19 = linear_22.reshape(1, 257, 16, -1)
+        linear_22 = None
+        k_6 = reshape_19.transpose(1, 2)
+        reshape_19 = None
+        linear_23 = torch._C._nn.linear(
+            x_47,
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_47 = l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_20 = linear_23.reshape(1, 257, 16, -1)
+        linear_23 = None
+        v_3 = reshape_20.transpose(1, 2)
+        reshape_20 = None
+        getitem_40 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_41 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_6 = None
+        tensor_split_6 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_6 = tensor_split_6[0]
+        cos_emb_6 = tensor_split_6[1]
+        tensor_split_6 = None
+        mul_15 = getitem_41 * cos_emb_6
+        cos_emb_6 = None
+        getitem_44 = getitem_41[(Ellipsis, slice(1, None, 2))]
+        neg_6 = -getitem_44
+        getitem_44 = None
+        getitem_45 = getitem_41[(Ellipsis, slice(None, None, 2))]
+        getitem_41 = None
+        stack_6 = torch.stack([neg_6, getitem_45], -1)
+        neg_6 = getitem_45 = None
+        reshape_21 = stack_6.reshape((1, 16, 256, 64))
+        stack_6 = None
+        mul_16 = reshape_21 * sin_emb_6
+        reshape_21 = sin_emb_6 = None
+        add_13 = mul_15 + mul_16
+        mul_15 = mul_16 = None
+        cat_7 = torch.cat([getitem_40, add_13], dim=2)
+        getitem_40 = add_13 = None
+        q_7 = cat_7.type_as(v_3)
+        cat_7 = None
+        getitem_46 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_47 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_6 = None
+        tensor_split_7 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_7 = tensor_split_7[0]
+        cos_emb_7 = tensor_split_7[1]
+        tensor_split_7 = None
+        mul_17 = getitem_47 * cos_emb_7
+        cos_emb_7 = None
+        getitem_50 = getitem_47[(Ellipsis, slice(1, None, 2))]
+        neg_7 = -getitem_50
+        getitem_50 = None
+        getitem_51 = getitem_47[(Ellipsis, slice(None, None, 2))]
+        getitem_47 = None
+        stack_7 = torch.stack([neg_7, getitem_51], -1)
+        neg_7 = getitem_51 = None
+        reshape_22 = stack_7.reshape((1, 16, 256, 64))
+        stack_7 = None
+        mul_18 = reshape_22 * sin_emb_7
+        reshape_22 = sin_emb_7 = None
+        add_14 = mul_17 + mul_18
+        mul_17 = mul_18 = None
+        cat_8 = torch.cat([getitem_46, add_14], dim=2)
+        getitem_46 = add_14 = None
+        k_7 = cat_8.type_as(v_3)
+        cat_8 = None
+        x_48 = torch._C._nn.scaled_dot_product_attention(
+            q_7, k_7, v_3, attn_mask=None, dropout_p=0.0
+        )
+        q_7 = k_7 = v_3 = None
+        transpose_16 = x_48.transpose(1, 2)
+        x_48 = None
+        x_49 = transpose_16.reshape(1, 257, 1024)
+        transpose_16 = None
+        x_50 = torch._C._nn.linear(
+            x_49,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_51 = torch.nn.functional.dropout(x_50, 0.0, False, False)
+        x_50 = None
+        x_52 = x_46 + x_51
+        x_46 = x_51 = None
+        x_53 = torch.nn.functional.layer_norm(
+            x_52,
+            (1024,),
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_3 = torch._C._nn.linear(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_54 = torch._C._nn.linear(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_3 = torch.nn.functional.silu(x_gate_3, inplace=False)
+        x_gate_3 = None
+        x_55 = silu_3 * x_54
+        silu_3 = x_54 = None
+        x_56 = torch.nn.functional.dropout(x_55, 0.0, False, False)
+        x_55 = None
+        x_57 = torch.nn.functional.layer_norm(
+            x_56,
+            (2730,),
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_58 = torch._C._nn.linear(
+            x_57,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_59 = torch.nn.functional.dropout(x_58, 0.0, False, False)
+        x_58 = None
+        x_60 = x_52 + x_59
+        x_52 = x_59 = None
+        x_61 = torch.nn.functional.layer_norm(
+            x_60,
+            (1024,),
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        ) = None
+        linear_28 = torch._C._nn.linear(
+            x_61,
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_24 = linear_28.reshape(1, 257, 16, -1)
+        linear_28 = None
+        q_8 = reshape_24.transpose(1, 2)
+        reshape_24 = None
+        linear_29 = torch._C._nn.linear(
+            x_61,
+            l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_25 = linear_29.reshape(1, 257, 16, -1)
+        linear_29 = None
+        k_8 = reshape_25.transpose(1, 2)
+        reshape_25 = None
+        linear_30 = torch._C._nn.linear(
+            x_61,
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_61 = l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_26 = linear_30.reshape(1, 257, 16, -1)
+        linear_30 = None
+        v_4 = reshape_26.transpose(1, 2)
+        reshape_26 = None
+        getitem_52 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_53 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_8 = None
+        tensor_split_8 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_8 = tensor_split_8[0]
+        cos_emb_8 = tensor_split_8[1]
+        tensor_split_8 = None
+        mul_20 = getitem_53 * cos_emb_8
+        cos_emb_8 = None
+        getitem_56 = getitem_53[(Ellipsis, slice(1, None, 2))]
+        neg_8 = -getitem_56
+        getitem_56 = None
+        getitem_57 = getitem_53[(Ellipsis, slice(None, None, 2))]
+        getitem_53 = None
+        stack_8 = torch.stack([neg_8, getitem_57], -1)
+        neg_8 = getitem_57 = None
+        reshape_27 = stack_8.reshape((1, 16, 256, 64))
+        stack_8 = None
+        mul_21 = reshape_27 * sin_emb_8
+        reshape_27 = sin_emb_8 = None
+        add_17 = mul_20 + mul_21
+        mul_20 = mul_21 = None
+        cat_9 = torch.cat([getitem_52, add_17], dim=2)
+        getitem_52 = add_17 = None
+        q_9 = cat_9.type_as(v_4)
+        cat_9 = None
+        getitem_58 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_59 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_8 = None
+        tensor_split_9 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_9 = tensor_split_9[0]
+        cos_emb_9 = tensor_split_9[1]
+        tensor_split_9 = None
+        mul_22 = getitem_59 * cos_emb_9
+        cos_emb_9 = None
+        getitem_62 = getitem_59[(Ellipsis, slice(1, None, 2))]
+        neg_9 = -getitem_62
+        getitem_62 = None
+        getitem_63 = getitem_59[(Ellipsis, slice(None, None, 2))]
+        getitem_59 = None
+        stack_9 = torch.stack([neg_9, getitem_63], -1)
+        neg_9 = getitem_63 = None
+        reshape_28 = stack_9.reshape((1, 16, 256, 64))
+        stack_9 = None
+        mul_23 = reshape_28 * sin_emb_9
+        reshape_28 = sin_emb_9 = None
+        add_18 = mul_22 + mul_23
+        mul_22 = mul_23 = None
+        cat_10 = torch.cat([getitem_58, add_18], dim=2)
+        getitem_58 = add_18 = None
+        k_9 = cat_10.type_as(v_4)
+        cat_10 = None
+        x_62 = torch._C._nn.scaled_dot_product_attention(
+            q_9, k_9, v_4, attn_mask=None, dropout_p=0.0
+        )
+        q_9 = k_9 = v_4 = None
+        transpose_20 = x_62.transpose(1, 2)
+        x_62 = None
+        x_63 = transpose_20.reshape(1, 257, 1024)
+        transpose_20 = None
+        x_64 = torch._C._nn.linear(
+            x_63,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_65 = torch.nn.functional.dropout(x_64, 0.0, False, False)
+        x_64 = None
+        x_66 = x_60 + x_65
+        x_60 = x_65 = None
+        x_67 = torch.nn.functional.layer_norm(
+            x_66,
+            (1024,),
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_4 = torch._C._nn.linear(
+            x_67,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_68 = torch._C._nn.linear(
+            x_67,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_4 = torch.nn.functional.silu(x_gate_4, inplace=False)
+        x_gate_4 = None
+        x_69 = silu_4 * x_68
+        silu_4 = x_68 = None
+        x_70 = torch.nn.functional.dropout(x_69, 0.0, False, False)
+        x_69 = None
+        x_71 = torch.nn.functional.layer_norm(
+            x_70,
+            (2730,),
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_72 = torch._C._nn.linear(
+            x_71,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_73 = torch.nn.functional.dropout(x_72, 0.0, False, False)
+        x_72 = None
+        x_74 = x_66 + x_73
+        x_66 = x_73 = None
+        x_75 = torch.nn.functional.layer_norm(
+            x_74,
+            (1024,),
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        ) = None
+        linear_35 = torch._C._nn.linear(
+            x_75,
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_30 = linear_35.reshape(1, 257, 16, -1)
+        linear_35 = None
+        q_10 = reshape_30.transpose(1, 2)
+        reshape_30 = None
+        linear_36 = torch._C._nn.linear(
+            x_75,
+            l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_31 = linear_36.reshape(1, 257, 16, -1)
+        linear_36 = None
+        k_10 = reshape_31.transpose(1, 2)
+        reshape_31 = None
+        linear_37 = torch._C._nn.linear(
+            x_75,
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_75 = l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_32 = linear_37.reshape(1, 257, 16, -1)
+        linear_37 = None
+        v_5 = reshape_32.transpose(1, 2)
+        reshape_32 = None
+        getitem_64 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_65 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_10 = None
+        tensor_split_10 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_10 = tensor_split_10[0]
+        cos_emb_10 = tensor_split_10[1]
+        tensor_split_10 = None
+        mul_25 = getitem_65 * cos_emb_10
+        cos_emb_10 = None
+        getitem_68 = getitem_65[(Ellipsis, slice(1, None, 2))]
+        neg_10 = -getitem_68
+        getitem_68 = None
+        getitem_69 = getitem_65[(Ellipsis, slice(None, None, 2))]
+        getitem_65 = None
+        stack_10 = torch.stack([neg_10, getitem_69], -1)
+        neg_10 = getitem_69 = None
+        reshape_33 = stack_10.reshape((1, 16, 256, 64))
+        stack_10 = None
+        mul_26 = reshape_33 * sin_emb_10
+        reshape_33 = sin_emb_10 = None
+        add_21 = mul_25 + mul_26
+        mul_25 = mul_26 = None
+        cat_11 = torch.cat([getitem_64, add_21], dim=2)
+        getitem_64 = add_21 = None
+        q_11 = cat_11.type_as(v_5)
+        cat_11 = None
+        getitem_70 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_71 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_10 = None
+        tensor_split_11 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_11 = tensor_split_11[0]
+        cos_emb_11 = tensor_split_11[1]
+        tensor_split_11 = None
+        mul_27 = getitem_71 * cos_emb_11
+        cos_emb_11 = None
+        getitem_74 = getitem_71[(Ellipsis, slice(1, None, 2))]
+        neg_11 = -getitem_74
+        getitem_74 = None
+        getitem_75 = getitem_71[(Ellipsis, slice(None, None, 2))]
+        getitem_71 = None
+        stack_11 = torch.stack([neg_11, getitem_75], -1)
+        neg_11 = getitem_75 = None
+        reshape_34 = stack_11.reshape((1, 16, 256, 64))
+        stack_11 = None
+        mul_28 = reshape_34 * sin_emb_11
+        reshape_34 = sin_emb_11 = None
+        add_22 = mul_27 + mul_28
+        mul_27 = mul_28 = None
+        cat_12 = torch.cat([getitem_70, add_22], dim=2)
+        getitem_70 = add_22 = None
+        k_11 = cat_12.type_as(v_5)
+        cat_12 = None
+        x_76 = torch._C._nn.scaled_dot_product_attention(
+            q_11, k_11, v_5, attn_mask=None, dropout_p=0.0
+        )
+        q_11 = k_11 = v_5 = None
+        transpose_24 = x_76.transpose(1, 2)
+        x_76 = None
+        x_77 = transpose_24.reshape(1, 257, 1024)
+        transpose_24 = None
+        x_78 = torch._C._nn.linear(
+            x_77,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_77 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_79 = torch.nn.functional.dropout(x_78, 0.0, False, False)
+        x_78 = None
+        x_80 = x_74 + x_79
+        x_74 = x_79 = None
+        x_81 = torch.nn.functional.layer_norm(
+            x_80,
+            (1024,),
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_5 = torch._C._nn.linear(
+            x_81,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_82 = torch._C._nn.linear(
+            x_81,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_5 = torch.nn.functional.silu(x_gate_5, inplace=False)
+        x_gate_5 = None
+        x_83 = silu_5 * x_82
+        silu_5 = x_82 = None
+        x_84 = torch.nn.functional.dropout(x_83, 0.0, False, False)
+        x_83 = None
+        x_85 = torch.nn.functional.layer_norm(
+            x_84,
+            (2730,),
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_84 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_86 = torch._C._nn.linear(
+            x_85,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.dropout(x_86, 0.0, False, False)
+        x_86 = None
+        x_88 = x_80 + x_87
+        x_80 = x_87 = None
+        x_89 = torch.nn.functional.layer_norm(
+            x_88,
+            (1024,),
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        ) = None
+        linear_42 = torch._C._nn.linear(
+            x_89,
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_36 = linear_42.reshape(1, 257, 16, -1)
+        linear_42 = None
+        q_12 = reshape_36.transpose(1, 2)
+        reshape_36 = None
+        linear_43 = torch._C._nn.linear(
+            x_89,
+            l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_37 = linear_43.reshape(1, 257, 16, -1)
+        linear_43 = None
+        k_12 = reshape_37.transpose(1, 2)
+        reshape_37 = None
+        linear_44 = torch._C._nn.linear(
+            x_89,
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_89 = l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_38 = linear_44.reshape(1, 257, 16, -1)
+        linear_44 = None
+        v_6 = reshape_38.transpose(1, 2)
+        reshape_38 = None
+        getitem_76 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_77 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_12 = None
+        tensor_split_12 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_12 = tensor_split_12[0]
+        cos_emb_12 = tensor_split_12[1]
+        tensor_split_12 = None
+        mul_30 = getitem_77 * cos_emb_12
+        cos_emb_12 = None
+        getitem_80 = getitem_77[(Ellipsis, slice(1, None, 2))]
+        neg_12 = -getitem_80
+        getitem_80 = None
+        getitem_81 = getitem_77[(Ellipsis, slice(None, None, 2))]
+        getitem_77 = None
+        stack_12 = torch.stack([neg_12, getitem_81], -1)
+        neg_12 = getitem_81 = None
+        reshape_39 = stack_12.reshape((1, 16, 256, 64))
+        stack_12 = None
+        mul_31 = reshape_39 * sin_emb_12
+        reshape_39 = sin_emb_12 = None
+        add_25 = mul_30 + mul_31
+        mul_30 = mul_31 = None
+        cat_13 = torch.cat([getitem_76, add_25], dim=2)
+        getitem_76 = add_25 = None
+        q_13 = cat_13.type_as(v_6)
+        cat_13 = None
+        getitem_82 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_83 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_12 = None
+        tensor_split_13 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_13 = tensor_split_13[0]
+        cos_emb_13 = tensor_split_13[1]
+        tensor_split_13 = None
+        mul_32 = getitem_83 * cos_emb_13
+        cos_emb_13 = None
+        getitem_86 = getitem_83[(Ellipsis, slice(1, None, 2))]
+        neg_13 = -getitem_86
+        getitem_86 = None
+        getitem_87 = getitem_83[(Ellipsis, slice(None, None, 2))]
+        getitem_83 = None
+        stack_13 = torch.stack([neg_13, getitem_87], -1)
+        neg_13 = getitem_87 = None
+        reshape_40 = stack_13.reshape((1, 16, 256, 64))
+        stack_13 = None
+        mul_33 = reshape_40 * sin_emb_13
+        reshape_40 = sin_emb_13 = None
+        add_26 = mul_32 + mul_33
+        mul_32 = mul_33 = None
+        cat_14 = torch.cat([getitem_82, add_26], dim=2)
+        getitem_82 = add_26 = None
+        k_13 = cat_14.type_as(v_6)
+        cat_14 = None
+        x_90 = torch._C._nn.scaled_dot_product_attention(
+            q_13, k_13, v_6, attn_mask=None, dropout_p=0.0
+        )
+        q_13 = k_13 = v_6 = None
+        transpose_28 = x_90.transpose(1, 2)
+        x_90 = None
+        x_91 = transpose_28.reshape(1, 257, 1024)
+        transpose_28 = None
+        x_92 = torch._C._nn.linear(
+            x_91,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_93 = torch.nn.functional.dropout(x_92, 0.0, False, False)
+        x_92 = None
+        x_94 = x_88 + x_93
+        x_88 = x_93 = None
+        x_95 = torch.nn.functional.layer_norm(
+            x_94,
+            (1024,),
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_6 = torch._C._nn.linear(
+            x_95,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_96 = torch._C._nn.linear(
+            x_95,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_95 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_6 = torch.nn.functional.silu(x_gate_6, inplace=False)
+        x_gate_6 = None
+        x_97 = silu_6 * x_96
+        silu_6 = x_96 = None
+        x_98 = torch.nn.functional.dropout(x_97, 0.0, False, False)
+        x_97 = None
+        x_99 = torch.nn.functional.layer_norm(
+            x_98,
+            (2730,),
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_100 = torch._C._nn.linear(
+            x_99,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_99 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_101 = torch.nn.functional.dropout(x_100, 0.0, False, False)
+        x_100 = None
+        x_102 = x_94 + x_101
+        x_94 = x_101 = None
+        x_103 = torch.nn.functional.layer_norm(
+            x_102,
+            (1024,),
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        ) = None
+        linear_49 = torch._C._nn.linear(
+            x_103,
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_42 = linear_49.reshape(1, 257, 16, -1)
+        linear_49 = None
+        q_14 = reshape_42.transpose(1, 2)
+        reshape_42 = None
+        linear_50 = torch._C._nn.linear(
+            x_103,
+            l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_43 = linear_50.reshape(1, 257, 16, -1)
+        linear_50 = None
+        k_14 = reshape_43.transpose(1, 2)
+        reshape_43 = None
+        linear_51 = torch._C._nn.linear(
+            x_103,
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_103 = l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_44 = linear_51.reshape(1, 257, 16, -1)
+        linear_51 = None
+        v_7 = reshape_44.transpose(1, 2)
+        reshape_44 = None
+        getitem_88 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_89 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_14 = None
+        tensor_split_14 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_14 = tensor_split_14[0]
+        cos_emb_14 = tensor_split_14[1]
+        tensor_split_14 = None
+        mul_35 = getitem_89 * cos_emb_14
+        cos_emb_14 = None
+        getitem_92 = getitem_89[(Ellipsis, slice(1, None, 2))]
+        neg_14 = -getitem_92
+        getitem_92 = None
+        getitem_93 = getitem_89[(Ellipsis, slice(None, None, 2))]
+        getitem_89 = None
+        stack_14 = torch.stack([neg_14, getitem_93], -1)
+        neg_14 = getitem_93 = None
+        reshape_45 = stack_14.reshape((1, 16, 256, 64))
+        stack_14 = None
+        mul_36 = reshape_45 * sin_emb_14
+        reshape_45 = sin_emb_14 = None
+        add_29 = mul_35 + mul_36
+        mul_35 = mul_36 = None
+        cat_15 = torch.cat([getitem_88, add_29], dim=2)
+        getitem_88 = add_29 = None
+        q_15 = cat_15.type_as(v_7)
+        cat_15 = None
+        getitem_94 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_95 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_14 = None
+        tensor_split_15 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_15 = tensor_split_15[0]
+        cos_emb_15 = tensor_split_15[1]
+        tensor_split_15 = None
+        mul_37 = getitem_95 * cos_emb_15
+        cos_emb_15 = None
+        getitem_98 = getitem_95[(Ellipsis, slice(1, None, 2))]
+        neg_15 = -getitem_98
+        getitem_98 = None
+        getitem_99 = getitem_95[(Ellipsis, slice(None, None, 2))]
+        getitem_95 = None
+        stack_15 = torch.stack([neg_15, getitem_99], -1)
+        neg_15 = getitem_99 = None
+        reshape_46 = stack_15.reshape((1, 16, 256, 64))
+        stack_15 = None
+        mul_38 = reshape_46 * sin_emb_15
+        reshape_46 = sin_emb_15 = None
+        add_30 = mul_37 + mul_38
+        mul_37 = mul_38 = None
+        cat_16 = torch.cat([getitem_94, add_30], dim=2)
+        getitem_94 = add_30 = None
+        k_15 = cat_16.type_as(v_7)
+        cat_16 = None
+        x_104 = torch._C._nn.scaled_dot_product_attention(
+            q_15, k_15, v_7, attn_mask=None, dropout_p=0.0
+        )
+        q_15 = k_15 = v_7 = None
+        transpose_32 = x_104.transpose(1, 2)
+        x_104 = None
+        x_105 = transpose_32.reshape(1, 257, 1024)
+        transpose_32 = None
+        x_106 = torch._C._nn.linear(
+            x_105,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_107 = torch.nn.functional.dropout(x_106, 0.0, False, False)
+        x_106 = None
+        x_108 = x_102 + x_107
+        x_102 = x_107 = None
+        x_109 = torch.nn.functional.layer_norm(
+            x_108,
+            (1024,),
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_7 = torch._C._nn.linear(
+            x_109,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_110 = torch._C._nn.linear(
+            x_109,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_7 = torch.nn.functional.silu(x_gate_7, inplace=False)
+        x_gate_7 = None
+        x_111 = silu_7 * x_110
+        silu_7 = x_110 = None
+        x_112 = torch.nn.functional.dropout(x_111, 0.0, False, False)
+        x_111 = None
+        x_113 = torch.nn.functional.layer_norm(
+            x_112,
+            (2730,),
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_114 = torch._C._nn.linear(
+            x_113,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_115 = torch.nn.functional.dropout(x_114, 0.0, False, False)
+        x_114 = None
+        x_116 = x_108 + x_115
+        x_108 = x_115 = None
+        x_117 = torch.nn.functional.layer_norm(
+            x_116,
+            (1024,),
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        ) = None
+        linear_56 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_48 = linear_56.reshape(1, 257, 16, -1)
+        linear_56 = None
+        q_16 = reshape_48.transpose(1, 2)
+        reshape_48 = None
+        linear_57 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_49 = linear_57.reshape(1, 257, 16, -1)
+        linear_57 = None
+        k_16 = reshape_49.transpose(1, 2)
+        reshape_49 = None
+        linear_58 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_117 = l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_50 = linear_58.reshape(1, 257, 16, -1)
+        linear_58 = None
+        v_8 = reshape_50.transpose(1, 2)
+        reshape_50 = None
+        getitem_100 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_101 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_16 = None
+        tensor_split_16 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_16 = tensor_split_16[0]
+        cos_emb_16 = tensor_split_16[1]
+        tensor_split_16 = None
+        mul_40 = getitem_101 * cos_emb_16
+        cos_emb_16 = None
+        getitem_104 = getitem_101[(Ellipsis, slice(1, None, 2))]
+        neg_16 = -getitem_104
+        getitem_104 = None
+        getitem_105 = getitem_101[(Ellipsis, slice(None, None, 2))]
+        getitem_101 = None
+        stack_16 = torch.stack([neg_16, getitem_105], -1)
+        neg_16 = getitem_105 = None
+        reshape_51 = stack_16.reshape((1, 16, 256, 64))
+        stack_16 = None
+        mul_41 = reshape_51 * sin_emb_16
+        reshape_51 = sin_emb_16 = None
+        add_33 = mul_40 + mul_41
+        mul_40 = mul_41 = None
+        cat_17 = torch.cat([getitem_100, add_33], dim=2)
+        getitem_100 = add_33 = None
+        q_17 = cat_17.type_as(v_8)
+        cat_17 = None
+        getitem_106 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_107 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_16 = None
+        tensor_split_17 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_17 = tensor_split_17[0]
+        cos_emb_17 = tensor_split_17[1]
+        tensor_split_17 = None
+        mul_42 = getitem_107 * cos_emb_17
+        cos_emb_17 = None
+        getitem_110 = getitem_107[(Ellipsis, slice(1, None, 2))]
+        neg_17 = -getitem_110
+        getitem_110 = None
+        getitem_111 = getitem_107[(Ellipsis, slice(None, None, 2))]
+        getitem_107 = None
+        stack_17 = torch.stack([neg_17, getitem_111], -1)
+        neg_17 = getitem_111 = None
+        reshape_52 = stack_17.reshape((1, 16, 256, 64))
+        stack_17 = None
+        mul_43 = reshape_52 * sin_emb_17
+        reshape_52 = sin_emb_17 = None
+        add_34 = mul_42 + mul_43
+        mul_42 = mul_43 = None
+        cat_18 = torch.cat([getitem_106, add_34], dim=2)
+        getitem_106 = add_34 = None
+        k_17 = cat_18.type_as(v_8)
+        cat_18 = None
+        x_118 = torch._C._nn.scaled_dot_product_attention(
+            q_17, k_17, v_8, attn_mask=None, dropout_p=0.0
+        )
+        q_17 = k_17 = v_8 = None
+        transpose_36 = x_118.transpose(1, 2)
+        x_118 = None
+        x_119 = transpose_36.reshape(1, 257, 1024)
+        transpose_36 = None
+        x_120 = torch._C._nn.linear(
+            x_119,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_119 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_121 = torch.nn.functional.dropout(x_120, 0.0, False, False)
+        x_120 = None
+        x_122 = x_116 + x_121
+        x_116 = x_121 = None
+        x_123 = torch.nn.functional.layer_norm(
+            x_122,
+            (1024,),
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_8 = torch._C._nn.linear(
+            x_123,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_124 = torch._C._nn.linear(
+            x_123,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_8 = torch.nn.functional.silu(x_gate_8, inplace=False)
+        x_gate_8 = None
+        x_125 = silu_8 * x_124
+        silu_8 = x_124 = None
+        x_126 = torch.nn.functional.dropout(x_125, 0.0, False, False)
+        x_125 = None
+        x_127 = torch.nn.functional.layer_norm(
+            x_126,
+            (2730,),
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_128 = torch._C._nn.linear(
+            x_127,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_129 = torch.nn.functional.dropout(x_128, 0.0, False, False)
+        x_128 = None
+        x_130 = x_122 + x_129
+        x_122 = x_129 = None
+        x_131 = torch.nn.functional.layer_norm(
+            x_130,
+            (1024,),
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        ) = None
+        linear_63 = torch._C._nn.linear(
+            x_131,
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_54 = linear_63.reshape(1, 257, 16, -1)
+        linear_63 = None
+        q_18 = reshape_54.transpose(1, 2)
+        reshape_54 = None
+        linear_64 = torch._C._nn.linear(
+            x_131,
+            l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_55 = linear_64.reshape(1, 257, 16, -1)
+        linear_64 = None
+        k_18 = reshape_55.transpose(1, 2)
+        reshape_55 = None
+        linear_65 = torch._C._nn.linear(
+            x_131,
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_131 = l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_56 = linear_65.reshape(1, 257, 16, -1)
+        linear_65 = None
+        v_9 = reshape_56.transpose(1, 2)
+        reshape_56 = None
+        getitem_112 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_113 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_18 = None
+        tensor_split_18 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_18 = tensor_split_18[0]
+        cos_emb_18 = tensor_split_18[1]
+        tensor_split_18 = None
+        mul_45 = getitem_113 * cos_emb_18
+        cos_emb_18 = None
+        getitem_116 = getitem_113[(Ellipsis, slice(1, None, 2))]
+        neg_18 = -getitem_116
+        getitem_116 = None
+        getitem_117 = getitem_113[(Ellipsis, slice(None, None, 2))]
+        getitem_113 = None
+        stack_18 = torch.stack([neg_18, getitem_117], -1)
+        neg_18 = getitem_117 = None
+        reshape_57 = stack_18.reshape((1, 16, 256, 64))
+        stack_18 = None
+        mul_46 = reshape_57 * sin_emb_18
+        reshape_57 = sin_emb_18 = None
+        add_37 = mul_45 + mul_46
+        mul_45 = mul_46 = None
+        cat_19 = torch.cat([getitem_112, add_37], dim=2)
+        getitem_112 = add_37 = None
+        q_19 = cat_19.type_as(v_9)
+        cat_19 = None
+        getitem_118 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_119 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_18 = None
+        tensor_split_19 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_19 = tensor_split_19[0]
+        cos_emb_19 = tensor_split_19[1]
+        tensor_split_19 = None
+        mul_47 = getitem_119 * cos_emb_19
+        cos_emb_19 = None
+        getitem_122 = getitem_119[(Ellipsis, slice(1, None, 2))]
+        neg_19 = -getitem_122
+        getitem_122 = None
+        getitem_123 = getitem_119[(Ellipsis, slice(None, None, 2))]
+        getitem_119 = None
+        stack_19 = torch.stack([neg_19, getitem_123], -1)
+        neg_19 = getitem_123 = None
+        reshape_58 = stack_19.reshape((1, 16, 256, 64))
+        stack_19 = None
+        mul_48 = reshape_58 * sin_emb_19
+        reshape_58 = sin_emb_19 = None
+        add_38 = mul_47 + mul_48
+        mul_47 = mul_48 = None
+        cat_20 = torch.cat([getitem_118, add_38], dim=2)
+        getitem_118 = add_38 = None
+        k_19 = cat_20.type_as(v_9)
+        cat_20 = None
+        x_132 = torch._C._nn.scaled_dot_product_attention(
+            q_19, k_19, v_9, attn_mask=None, dropout_p=0.0
+        )
+        q_19 = k_19 = v_9 = None
+        transpose_40 = x_132.transpose(1, 2)
+        x_132 = None
+        x_133 = transpose_40.reshape(1, 257, 1024)
+        transpose_40 = None
+        x_134 = torch._C._nn.linear(
+            x_133,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_135 = torch.nn.functional.dropout(x_134, 0.0, False, False)
+        x_134 = None
+        x_136 = x_130 + x_135
+        x_130 = x_135 = None
+        x_137 = torch.nn.functional.layer_norm(
+            x_136,
+            (1024,),
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_9 = torch._C._nn.linear(
+            x_137,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_138 = torch._C._nn.linear(
+            x_137,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_137 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_9 = torch.nn.functional.silu(x_gate_9, inplace=False)
+        x_gate_9 = None
+        x_139 = silu_9 * x_138
+        silu_9 = x_138 = None
+        x_140 = torch.nn.functional.dropout(x_139, 0.0, False, False)
+        x_139 = None
+        x_141 = torch.nn.functional.layer_norm(
+            x_140,
+            (2730,),
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_142 = torch._C._nn.linear(
+            x_141,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_143 = torch.nn.functional.dropout(x_142, 0.0, False, False)
+        x_142 = None
+        x_144 = x_136 + x_143
+        x_136 = x_143 = None
+        x_145 = torch.nn.functional.layer_norm(
+            x_144,
+            (1024,),
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        ) = None
+        linear_70 = torch._C._nn.linear(
+            x_145,
+            l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_60 = linear_70.reshape(1, 257, 16, -1)
+        linear_70 = None
+        q_20 = reshape_60.transpose(1, 2)
+        reshape_60 = None
+        linear_71 = torch._C._nn.linear(
+            x_145,
+            l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_61 = linear_71.reshape(1, 257, 16, -1)
+        linear_71 = None
+        k_20 = reshape_61.transpose(1, 2)
+        reshape_61 = None
+        linear_72 = torch._C._nn.linear(
+            x_145,
+            l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_145 = l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_62 = linear_72.reshape(1, 257, 16, -1)
+        linear_72 = None
+        v_10 = reshape_62.transpose(1, 2)
+        reshape_62 = None
+        getitem_124 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_125 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_20 = None
+        tensor_split_20 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_20 = tensor_split_20[0]
+        cos_emb_20 = tensor_split_20[1]
+        tensor_split_20 = None
+        mul_50 = getitem_125 * cos_emb_20
+        cos_emb_20 = None
+        getitem_128 = getitem_125[(Ellipsis, slice(1, None, 2))]
+        neg_20 = -getitem_128
+        getitem_128 = None
+        getitem_129 = getitem_125[(Ellipsis, slice(None, None, 2))]
+        getitem_125 = None
+        stack_20 = torch.stack([neg_20, getitem_129], -1)
+        neg_20 = getitem_129 = None
+        reshape_63 = stack_20.reshape((1, 16, 256, 64))
+        stack_20 = None
+        mul_51 = reshape_63 * sin_emb_20
+        reshape_63 = sin_emb_20 = None
+        add_41 = mul_50 + mul_51
+        mul_50 = mul_51 = None
+        cat_21 = torch.cat([getitem_124, add_41], dim=2)
+        getitem_124 = add_41 = None
+        q_21 = cat_21.type_as(v_10)
+        cat_21 = None
+        getitem_130 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_131 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_20 = None
+        tensor_split_21 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_21 = tensor_split_21[0]
+        cos_emb_21 = tensor_split_21[1]
+        tensor_split_21 = None
+        mul_52 = getitem_131 * cos_emb_21
+        cos_emb_21 = None
+        getitem_134 = getitem_131[(Ellipsis, slice(1, None, 2))]
+        neg_21 = -getitem_134
+        getitem_134 = None
+        getitem_135 = getitem_131[(Ellipsis, slice(None, None, 2))]
+        getitem_131 = None
+        stack_21 = torch.stack([neg_21, getitem_135], -1)
+        neg_21 = getitem_135 = None
+        reshape_64 = stack_21.reshape((1, 16, 256, 64))
+        stack_21 = None
+        mul_53 = reshape_64 * sin_emb_21
+        reshape_64 = sin_emb_21 = None
+        add_42 = mul_52 + mul_53
+        mul_52 = mul_53 = None
+        cat_22 = torch.cat([getitem_130, add_42], dim=2)
+        getitem_130 = add_42 = None
+        k_21 = cat_22.type_as(v_10)
+        cat_22 = None
+        x_146 = torch._C._nn.scaled_dot_product_attention(
+            q_21, k_21, v_10, attn_mask=None, dropout_p=0.0
+        )
+        q_21 = k_21 = v_10 = None
+        transpose_44 = x_146.transpose(1, 2)
+        x_146 = None
+        x_147 = transpose_44.reshape(1, 257, 1024)
+        transpose_44 = None
+        x_148 = torch._C._nn.linear(
+            x_147,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_147 = l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_149 = torch.nn.functional.dropout(x_148, 0.0, False, False)
+        x_148 = None
+        x_150 = x_144 + x_149
+        x_144 = x_149 = None
+        x_151 = torch.nn.functional.layer_norm(
+            x_150,
+            (1024,),
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_10 = torch._C._nn.linear(
+            x_151,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_152 = torch._C._nn.linear(
+            x_151,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_151 = l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_10 = torch.nn.functional.silu(x_gate_10, inplace=False)
+        x_gate_10 = None
+        x_153 = silu_10 * x_152
+        silu_10 = x_152 = None
+        x_154 = torch.nn.functional.dropout(x_153, 0.0, False, False)
+        x_153 = None
+        x_155 = torch.nn.functional.layer_norm(
+            x_154,
+            (2730,),
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_156 = torch._C._nn.linear(
+            x_155,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_157 = torch.nn.functional.dropout(x_156, 0.0, False, False)
+        x_156 = None
+        x_158 = x_150 + x_157
+        x_150 = x_157 = None
+        x_159 = torch.nn.functional.layer_norm(
+            x_158,
+            (1024,),
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        ) = None
+        linear_77 = torch._C._nn.linear(
+            x_159,
+            l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_66 = linear_77.reshape(1, 257, 16, -1)
+        linear_77 = None
+        q_22 = reshape_66.transpose(1, 2)
+        reshape_66 = None
+        linear_78 = torch._C._nn.linear(
+            x_159,
+            l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_67 = linear_78.reshape(1, 257, 16, -1)
+        linear_78 = None
+        k_22 = reshape_67.transpose(1, 2)
+        reshape_67 = None
+        linear_79 = torch._C._nn.linear(
+            x_159,
+            l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_159 = l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_68 = linear_79.reshape(1, 257, 16, -1)
+        linear_79 = None
+        v_11 = reshape_68.transpose(1, 2)
+        reshape_68 = None
+        getitem_136 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_137 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_22 = None
+        tensor_split_22 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_22 = tensor_split_22[0]
+        cos_emb_22 = tensor_split_22[1]
+        tensor_split_22 = None
+        mul_55 = getitem_137 * cos_emb_22
+        cos_emb_22 = None
+        getitem_140 = getitem_137[(Ellipsis, slice(1, None, 2))]
+        neg_22 = -getitem_140
+        getitem_140 = None
+        getitem_141 = getitem_137[(Ellipsis, slice(None, None, 2))]
+        getitem_137 = None
+        stack_22 = torch.stack([neg_22, getitem_141], -1)
+        neg_22 = getitem_141 = None
+        reshape_69 = stack_22.reshape((1, 16, 256, 64))
+        stack_22 = None
+        mul_56 = reshape_69 * sin_emb_22
+        reshape_69 = sin_emb_22 = None
+        add_45 = mul_55 + mul_56
+        mul_55 = mul_56 = None
+        cat_23 = torch.cat([getitem_136, add_45], dim=2)
+        getitem_136 = add_45 = None
+        q_23 = cat_23.type_as(v_11)
+        cat_23 = None
+        getitem_142 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_143 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_22 = None
+        tensor_split_23 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_23 = tensor_split_23[0]
+        cos_emb_23 = tensor_split_23[1]
+        tensor_split_23 = None
+        mul_57 = getitem_143 * cos_emb_23
+        cos_emb_23 = None
+        getitem_146 = getitem_143[(Ellipsis, slice(1, None, 2))]
+        neg_23 = -getitem_146
+        getitem_146 = None
+        getitem_147 = getitem_143[(Ellipsis, slice(None, None, 2))]
+        getitem_143 = None
+        stack_23 = torch.stack([neg_23, getitem_147], -1)
+        neg_23 = getitem_147 = None
+        reshape_70 = stack_23.reshape((1, 16, 256, 64))
+        stack_23 = None
+        mul_58 = reshape_70 * sin_emb_23
+        reshape_70 = sin_emb_23 = None
+        add_46 = mul_57 + mul_58
+        mul_57 = mul_58 = None
+        cat_24 = torch.cat([getitem_142, add_46], dim=2)
+        getitem_142 = add_46 = None
+        k_23 = cat_24.type_as(v_11)
+        cat_24 = None
+        x_160 = torch._C._nn.scaled_dot_product_attention(
+            q_23, k_23, v_11, attn_mask=None, dropout_p=0.0
+        )
+        q_23 = k_23 = v_11 = None
+        transpose_48 = x_160.transpose(1, 2)
+        x_160 = None
+        x_161 = transpose_48.reshape(1, 257, 1024)
+        transpose_48 = None
+        x_162 = torch._C._nn.linear(
+            x_161,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_161 = l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_163 = torch.nn.functional.dropout(x_162, 0.0, False, False)
+        x_162 = None
+        x_164 = x_158 + x_163
+        x_158 = x_163 = None
+        x_165 = torch.nn.functional.layer_norm(
+            x_164,
+            (1024,),
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_11 = torch._C._nn.linear(
+            x_165,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_166 = torch._C._nn.linear(
+            x_165,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_165 = l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_11 = torch.nn.functional.silu(x_gate_11, inplace=False)
+        x_gate_11 = None
+        x_167 = silu_11 * x_166
+        silu_11 = x_166 = None
+        x_168 = torch.nn.functional.dropout(x_167, 0.0, False, False)
+        x_167 = None
+        x_169 = torch.nn.functional.layer_norm(
+            x_168,
+            (2730,),
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_168 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_170 = torch._C._nn.linear(
+            x_169,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_169 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_171 = torch.nn.functional.dropout(x_170, 0.0, False, False)
+        x_170 = None
+        x_172 = x_164 + x_171
+        x_164 = x_171 = None
+        x_173 = torch.nn.functional.layer_norm(
+            x_172,
+            (1024,),
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        ) = None
+        linear_84 = torch._C._nn.linear(
+            x_173,
+            l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_72 = linear_84.reshape(1, 257, 16, -1)
+        linear_84 = None
+        q_24 = reshape_72.transpose(1, 2)
+        reshape_72 = None
+        linear_85 = torch._C._nn.linear(
+            x_173,
+            l_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_73 = linear_85.reshape(1, 257, 16, -1)
+        linear_85 = None
+        k_24 = reshape_73.transpose(1, 2)
+        reshape_73 = None
+        linear_86 = torch._C._nn.linear(
+            x_173,
+            l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_173 = l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_74 = linear_86.reshape(1, 257, 16, -1)
+        linear_86 = None
+        v_12 = reshape_74.transpose(1, 2)
+        reshape_74 = None
+        getitem_148 = q_24[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_149 = q_24[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_24 = None
+        tensor_split_24 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_24 = tensor_split_24[0]
+        cos_emb_24 = tensor_split_24[1]
+        tensor_split_24 = None
+        mul_60 = getitem_149 * cos_emb_24
+        cos_emb_24 = None
+        getitem_152 = getitem_149[(Ellipsis, slice(1, None, 2))]
+        neg_24 = -getitem_152
+        getitem_152 = None
+        getitem_153 = getitem_149[(Ellipsis, slice(None, None, 2))]
+        getitem_149 = None
+        stack_24 = torch.stack([neg_24, getitem_153], -1)
+        neg_24 = getitem_153 = None
+        reshape_75 = stack_24.reshape((1, 16, 256, 64))
+        stack_24 = None
+        mul_61 = reshape_75 * sin_emb_24
+        reshape_75 = sin_emb_24 = None
+        add_49 = mul_60 + mul_61
+        mul_60 = mul_61 = None
+        cat_25 = torch.cat([getitem_148, add_49], dim=2)
+        getitem_148 = add_49 = None
+        q_25 = cat_25.type_as(v_12)
+        cat_25 = None
+        getitem_154 = k_24[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_155 = k_24[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_24 = None
+        tensor_split_25 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_25 = tensor_split_25[0]
+        cos_emb_25 = tensor_split_25[1]
+        tensor_split_25 = None
+        mul_62 = getitem_155 * cos_emb_25
+        cos_emb_25 = None
+        getitem_158 = getitem_155[(Ellipsis, slice(1, None, 2))]
+        neg_25 = -getitem_158
+        getitem_158 = None
+        getitem_159 = getitem_155[(Ellipsis, slice(None, None, 2))]
+        getitem_155 = None
+        stack_25 = torch.stack([neg_25, getitem_159], -1)
+        neg_25 = getitem_159 = None
+        reshape_76 = stack_25.reshape((1, 16, 256, 64))
+        stack_25 = None
+        mul_63 = reshape_76 * sin_emb_25
+        reshape_76 = sin_emb_25 = None
+        add_50 = mul_62 + mul_63
+        mul_62 = mul_63 = None
+        cat_26 = torch.cat([getitem_154, add_50], dim=2)
+        getitem_154 = add_50 = None
+        k_25 = cat_26.type_as(v_12)
+        cat_26 = None
+        x_174 = torch._C._nn.scaled_dot_product_attention(
+            q_25, k_25, v_12, attn_mask=None, dropout_p=0.0
+        )
+        q_25 = k_25 = v_12 = None
+        transpose_52 = x_174.transpose(1, 2)
+        x_174 = None
+        x_175 = transpose_52.reshape(1, 257, 1024)
+        transpose_52 = None
+        x_176 = torch._C._nn.linear(
+            x_175,
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_175 = l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_177 = torch.nn.functional.dropout(x_176, 0.0, False, False)
+        x_176 = None
+        x_178 = x_172 + x_177
+        x_172 = x_177 = None
+        x_179 = torch.nn.functional.layer_norm(
+            x_178,
+            (1024,),
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_12 = torch._C._nn.linear(
+            x_179,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_180 = torch._C._nn.linear(
+            x_179,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_179 = l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_12 = torch.nn.functional.silu(x_gate_12, inplace=False)
+        x_gate_12 = None
+        x_181 = silu_12 * x_180
+        silu_12 = x_180 = None
+        x_182 = torch.nn.functional.dropout(x_181, 0.0, False, False)
+        x_181 = None
+        x_183 = torch.nn.functional.layer_norm(
+            x_182,
+            (2730,),
+            l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_182 = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_184 = torch._C._nn.linear(
+            x_183,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_183 = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_185 = torch.nn.functional.dropout(x_184, 0.0, False, False)
+        x_184 = None
+        x_186 = x_178 + x_185
+        x_178 = x_185 = None
+        x_187 = torch.nn.functional.layer_norm(
+            x_186,
+            (1024,),
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        ) = None
+        linear_91 = torch._C._nn.linear(
+            x_187,
+            l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_78 = linear_91.reshape(1, 257, 16, -1)
+        linear_91 = None
+        q_26 = reshape_78.transpose(1, 2)
+        reshape_78 = None
+        linear_92 = torch._C._nn.linear(
+            x_187,
+            l_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_79 = linear_92.reshape(1, 257, 16, -1)
+        linear_92 = None
+        k_26 = reshape_79.transpose(1, 2)
+        reshape_79 = None
+        linear_93 = torch._C._nn.linear(
+            x_187,
+            l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_187 = l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_80 = linear_93.reshape(1, 257, 16, -1)
+        linear_93 = None
+        v_13 = reshape_80.transpose(1, 2)
+        reshape_80 = None
+        getitem_160 = q_26[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_161 = q_26[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_26 = None
+        tensor_split_26 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_26 = tensor_split_26[0]
+        cos_emb_26 = tensor_split_26[1]
+        tensor_split_26 = None
+        mul_65 = getitem_161 * cos_emb_26
+        cos_emb_26 = None
+        getitem_164 = getitem_161[(Ellipsis, slice(1, None, 2))]
+        neg_26 = -getitem_164
+        getitem_164 = None
+        getitem_165 = getitem_161[(Ellipsis, slice(None, None, 2))]
+        getitem_161 = None
+        stack_26 = torch.stack([neg_26, getitem_165], -1)
+        neg_26 = getitem_165 = None
+        reshape_81 = stack_26.reshape((1, 16, 256, 64))
+        stack_26 = None
+        mul_66 = reshape_81 * sin_emb_26
+        reshape_81 = sin_emb_26 = None
+        add_53 = mul_65 + mul_66
+        mul_65 = mul_66 = None
+        cat_27 = torch.cat([getitem_160, add_53], dim=2)
+        getitem_160 = add_53 = None
+        q_27 = cat_27.type_as(v_13)
+        cat_27 = None
+        getitem_166 = k_26[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_167 = k_26[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_26 = None
+        tensor_split_27 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_27 = tensor_split_27[0]
+        cos_emb_27 = tensor_split_27[1]
+        tensor_split_27 = None
+        mul_67 = getitem_167 * cos_emb_27
+        cos_emb_27 = None
+        getitem_170 = getitem_167[(Ellipsis, slice(1, None, 2))]
+        neg_27 = -getitem_170
+        getitem_170 = None
+        getitem_171 = getitem_167[(Ellipsis, slice(None, None, 2))]
+        getitem_167 = None
+        stack_27 = torch.stack([neg_27, getitem_171], -1)
+        neg_27 = getitem_171 = None
+        reshape_82 = stack_27.reshape((1, 16, 256, 64))
+        stack_27 = None
+        mul_68 = reshape_82 * sin_emb_27
+        reshape_82 = sin_emb_27 = None
+        add_54 = mul_67 + mul_68
+        mul_67 = mul_68 = None
+        cat_28 = torch.cat([getitem_166, add_54], dim=2)
+        getitem_166 = add_54 = None
+        k_27 = cat_28.type_as(v_13)
+        cat_28 = None
+        x_188 = torch._C._nn.scaled_dot_product_attention(
+            q_27, k_27, v_13, attn_mask=None, dropout_p=0.0
+        )
+        q_27 = k_27 = v_13 = None
+        transpose_56 = x_188.transpose(1, 2)
+        x_188 = None
+        x_189 = transpose_56.reshape(1, 257, 1024)
+        transpose_56 = None
+        x_190 = torch._C._nn.linear(
+            x_189,
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_189 = l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_191 = torch.nn.functional.dropout(x_190, 0.0, False, False)
+        x_190 = None
+        x_192 = x_186 + x_191
+        x_186 = x_191 = None
+        x_193 = torch.nn.functional.layer_norm(
+            x_192,
+            (1024,),
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_13 = torch._C._nn.linear(
+            x_193,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_194 = torch._C._nn.linear(
+            x_193,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_193 = l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_13 = torch.nn.functional.silu(x_gate_13, inplace=False)
+        x_gate_13 = None
+        x_195 = silu_13 * x_194
+        silu_13 = x_194 = None
+        x_196 = torch.nn.functional.dropout(x_195, 0.0, False, False)
+        x_195 = None
+        x_197 = torch.nn.functional.layer_norm(
+            x_196,
+            (2730,),
+            l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_196 = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_198 = torch._C._nn.linear(
+            x_197,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_197 = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_199 = torch.nn.functional.dropout(x_198, 0.0, False, False)
+        x_198 = None
+        x_200 = x_192 + x_199
+        x_192 = x_199 = None
+        x_201 = torch.nn.functional.layer_norm(
+            x_200,
+            (1024,),
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        ) = None
+        linear_98 = torch._C._nn.linear(
+            x_201,
+            l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_84 = linear_98.reshape(1, 257, 16, -1)
+        linear_98 = None
+        q_28 = reshape_84.transpose(1, 2)
+        reshape_84 = None
+        linear_99 = torch._C._nn.linear(
+            x_201,
+            l_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_85 = linear_99.reshape(1, 257, 16, -1)
+        linear_99 = None
+        k_28 = reshape_85.transpose(1, 2)
+        reshape_85 = None
+        linear_100 = torch._C._nn.linear(
+            x_201,
+            l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_201 = l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_86 = linear_100.reshape(1, 257, 16, -1)
+        linear_100 = None
+        v_14 = reshape_86.transpose(1, 2)
+        reshape_86 = None
+        getitem_172 = q_28[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_173 = q_28[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_28 = None
+        tensor_split_28 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_28 = tensor_split_28[0]
+        cos_emb_28 = tensor_split_28[1]
+        tensor_split_28 = None
+        mul_70 = getitem_173 * cos_emb_28
+        cos_emb_28 = None
+        getitem_176 = getitem_173[(Ellipsis, slice(1, None, 2))]
+        neg_28 = -getitem_176
+        getitem_176 = None
+        getitem_177 = getitem_173[(Ellipsis, slice(None, None, 2))]
+        getitem_173 = None
+        stack_28 = torch.stack([neg_28, getitem_177], -1)
+        neg_28 = getitem_177 = None
+        reshape_87 = stack_28.reshape((1, 16, 256, 64))
+        stack_28 = None
+        mul_71 = reshape_87 * sin_emb_28
+        reshape_87 = sin_emb_28 = None
+        add_57 = mul_70 + mul_71
+        mul_70 = mul_71 = None
+        cat_29 = torch.cat([getitem_172, add_57], dim=2)
+        getitem_172 = add_57 = None
+        q_29 = cat_29.type_as(v_14)
+        cat_29 = None
+        getitem_178 = k_28[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_179 = k_28[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_28 = None
+        tensor_split_29 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_29 = tensor_split_29[0]
+        cos_emb_29 = tensor_split_29[1]
+        tensor_split_29 = None
+        mul_72 = getitem_179 * cos_emb_29
+        cos_emb_29 = None
+        getitem_182 = getitem_179[(Ellipsis, slice(1, None, 2))]
+        neg_29 = -getitem_182
+        getitem_182 = None
+        getitem_183 = getitem_179[(Ellipsis, slice(None, None, 2))]
+        getitem_179 = None
+        stack_29 = torch.stack([neg_29, getitem_183], -1)
+        neg_29 = getitem_183 = None
+        reshape_88 = stack_29.reshape((1, 16, 256, 64))
+        stack_29 = None
+        mul_73 = reshape_88 * sin_emb_29
+        reshape_88 = sin_emb_29 = None
+        add_58 = mul_72 + mul_73
+        mul_72 = mul_73 = None
+        cat_30 = torch.cat([getitem_178, add_58], dim=2)
+        getitem_178 = add_58 = None
+        k_29 = cat_30.type_as(v_14)
+        cat_30 = None
+        x_202 = torch._C._nn.scaled_dot_product_attention(
+            q_29, k_29, v_14, attn_mask=None, dropout_p=0.0
+        )
+        q_29 = k_29 = v_14 = None
+        transpose_60 = x_202.transpose(1, 2)
+        x_202 = None
+        x_203 = transpose_60.reshape(1, 257, 1024)
+        transpose_60 = None
+        x_204 = torch._C._nn.linear(
+            x_203,
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_203 = l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_205 = torch.nn.functional.dropout(x_204, 0.0, False, False)
+        x_204 = None
+        x_206 = x_200 + x_205
+        x_200 = x_205 = None
+        x_207 = torch.nn.functional.layer_norm(
+            x_206,
+            (1024,),
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_14 = torch._C._nn.linear(
+            x_207,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_208 = torch._C._nn.linear(
+            x_207,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_207 = l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_14 = torch.nn.functional.silu(x_gate_14, inplace=False)
+        x_gate_14 = None
+        x_209 = silu_14 * x_208
+        silu_14 = x_208 = None
+        x_210 = torch.nn.functional.dropout(x_209, 0.0, False, False)
+        x_209 = None
+        x_211 = torch.nn.functional.layer_norm(
+            x_210,
+            (2730,),
+            l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_210 = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_212 = torch._C._nn.linear(
+            x_211,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_211 = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_213 = torch.nn.functional.dropout(x_212, 0.0, False, False)
+        x_212 = None
+        x_214 = x_206 + x_213
+        x_206 = x_213 = None
+        x_215 = torch.nn.functional.layer_norm(
+            x_214,
+            (1024,),
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        ) = None
+        linear_105 = torch._C._nn.linear(
+            x_215,
+            l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_90 = linear_105.reshape(1, 257, 16, -1)
+        linear_105 = None
+        q_30 = reshape_90.transpose(1, 2)
+        reshape_90 = None
+        linear_106 = torch._C._nn.linear(
+            x_215,
+            l_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_91 = linear_106.reshape(1, 257, 16, -1)
+        linear_106 = None
+        k_30 = reshape_91.transpose(1, 2)
+        reshape_91 = None
+        linear_107 = torch._C._nn.linear(
+            x_215,
+            l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_215 = l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_92 = linear_107.reshape(1, 257, 16, -1)
+        linear_107 = None
+        v_15 = reshape_92.transpose(1, 2)
+        reshape_92 = None
+        getitem_184 = q_30[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_185 = q_30[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_30 = None
+        tensor_split_30 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_30 = tensor_split_30[0]
+        cos_emb_30 = tensor_split_30[1]
+        tensor_split_30 = None
+        mul_75 = getitem_185 * cos_emb_30
+        cos_emb_30 = None
+        getitem_188 = getitem_185[(Ellipsis, slice(1, None, 2))]
+        neg_30 = -getitem_188
+        getitem_188 = None
+        getitem_189 = getitem_185[(Ellipsis, slice(None, None, 2))]
+        getitem_185 = None
+        stack_30 = torch.stack([neg_30, getitem_189], -1)
+        neg_30 = getitem_189 = None
+        reshape_93 = stack_30.reshape((1, 16, 256, 64))
+        stack_30 = None
+        mul_76 = reshape_93 * sin_emb_30
+        reshape_93 = sin_emb_30 = None
+        add_61 = mul_75 + mul_76
+        mul_75 = mul_76 = None
+        cat_31 = torch.cat([getitem_184, add_61], dim=2)
+        getitem_184 = add_61 = None
+        q_31 = cat_31.type_as(v_15)
+        cat_31 = None
+        getitem_190 = k_30[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_191 = k_30[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_30 = None
+        tensor_split_31 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_31 = tensor_split_31[0]
+        cos_emb_31 = tensor_split_31[1]
+        tensor_split_31 = None
+        mul_77 = getitem_191 * cos_emb_31
+        cos_emb_31 = None
+        getitem_194 = getitem_191[(Ellipsis, slice(1, None, 2))]
+        neg_31 = -getitem_194
+        getitem_194 = None
+        getitem_195 = getitem_191[(Ellipsis, slice(None, None, 2))]
+        getitem_191 = None
+        stack_31 = torch.stack([neg_31, getitem_195], -1)
+        neg_31 = getitem_195 = None
+        reshape_94 = stack_31.reshape((1, 16, 256, 64))
+        stack_31 = None
+        mul_78 = reshape_94 * sin_emb_31
+        reshape_94 = sin_emb_31 = None
+        add_62 = mul_77 + mul_78
+        mul_77 = mul_78 = None
+        cat_32 = torch.cat([getitem_190, add_62], dim=2)
+        getitem_190 = add_62 = None
+        k_31 = cat_32.type_as(v_15)
+        cat_32 = None
+        x_216 = torch._C._nn.scaled_dot_product_attention(
+            q_31, k_31, v_15, attn_mask=None, dropout_p=0.0
+        )
+        q_31 = k_31 = v_15 = None
+        transpose_64 = x_216.transpose(1, 2)
+        x_216 = None
+        x_217 = transpose_64.reshape(1, 257, 1024)
+        transpose_64 = None
+        x_218 = torch._C._nn.linear(
+            x_217,
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_217 = l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_219 = torch.nn.functional.dropout(x_218, 0.0, False, False)
+        x_218 = None
+        x_220 = x_214 + x_219
+        x_214 = x_219 = None
+        x_221 = torch.nn.functional.layer_norm(
+            x_220,
+            (1024,),
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_15 = torch._C._nn.linear(
+            x_221,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_222 = torch._C._nn.linear(
+            x_221,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_221 = l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_15 = torch.nn.functional.silu(x_gate_15, inplace=False)
+        x_gate_15 = None
+        x_223 = silu_15 * x_222
+        silu_15 = x_222 = None
+        x_224 = torch.nn.functional.dropout(x_223, 0.0, False, False)
+        x_223 = None
+        x_225 = torch.nn.functional.layer_norm(
+            x_224,
+            (2730,),
+            l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_224 = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_226 = torch._C._nn.linear(
+            x_225,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_225 = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_227 = torch.nn.functional.dropout(x_226, 0.0, False, False)
+        x_226 = None
+        x_228 = x_220 + x_227
+        x_220 = x_227 = None
+        x_229 = torch.nn.functional.layer_norm(
+            x_228,
+            (1024,),
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        ) = None
+        linear_112 = torch._C._nn.linear(
+            x_229,
+            l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_96 = linear_112.reshape(1, 257, 16, -1)
+        linear_112 = None
+        q_32 = reshape_96.transpose(1, 2)
+        reshape_96 = None
+        linear_113 = torch._C._nn.linear(
+            x_229,
+            l_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_97 = linear_113.reshape(1, 257, 16, -1)
+        linear_113 = None
+        k_32 = reshape_97.transpose(1, 2)
+        reshape_97 = None
+        linear_114 = torch._C._nn.linear(
+            x_229,
+            l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_229 = l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_98 = linear_114.reshape(1, 257, 16, -1)
+        linear_114 = None
+        v_16 = reshape_98.transpose(1, 2)
+        reshape_98 = None
+        getitem_196 = q_32[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_197 = q_32[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_32 = None
+        tensor_split_32 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_32 = tensor_split_32[0]
+        cos_emb_32 = tensor_split_32[1]
+        tensor_split_32 = None
+        mul_80 = getitem_197 * cos_emb_32
+        cos_emb_32 = None
+        getitem_200 = getitem_197[(Ellipsis, slice(1, None, 2))]
+        neg_32 = -getitem_200
+        getitem_200 = None
+        getitem_201 = getitem_197[(Ellipsis, slice(None, None, 2))]
+        getitem_197 = None
+        stack_32 = torch.stack([neg_32, getitem_201], -1)
+        neg_32 = getitem_201 = None
+        reshape_99 = stack_32.reshape((1, 16, 256, 64))
+        stack_32 = None
+        mul_81 = reshape_99 * sin_emb_32
+        reshape_99 = sin_emb_32 = None
+        add_65 = mul_80 + mul_81
+        mul_80 = mul_81 = None
+        cat_33 = torch.cat([getitem_196, add_65], dim=2)
+        getitem_196 = add_65 = None
+        q_33 = cat_33.type_as(v_16)
+        cat_33 = None
+        getitem_202 = k_32[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_203 = k_32[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_32 = None
+        tensor_split_33 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_33 = tensor_split_33[0]
+        cos_emb_33 = tensor_split_33[1]
+        tensor_split_33 = None
+        mul_82 = getitem_203 * cos_emb_33
+        cos_emb_33 = None
+        getitem_206 = getitem_203[(Ellipsis, slice(1, None, 2))]
+        neg_33 = -getitem_206
+        getitem_206 = None
+        getitem_207 = getitem_203[(Ellipsis, slice(None, None, 2))]
+        getitem_203 = None
+        stack_33 = torch.stack([neg_33, getitem_207], -1)
+        neg_33 = getitem_207 = None
+        reshape_100 = stack_33.reshape((1, 16, 256, 64))
+        stack_33 = None
+        mul_83 = reshape_100 * sin_emb_33
+        reshape_100 = sin_emb_33 = None
+        add_66 = mul_82 + mul_83
+        mul_82 = mul_83 = None
+        cat_34 = torch.cat([getitem_202, add_66], dim=2)
+        getitem_202 = add_66 = None
+        k_33 = cat_34.type_as(v_16)
+        cat_34 = None
+        x_230 = torch._C._nn.scaled_dot_product_attention(
+            q_33, k_33, v_16, attn_mask=None, dropout_p=0.0
+        )
+        q_33 = k_33 = v_16 = None
+        transpose_68 = x_230.transpose(1, 2)
+        x_230 = None
+        x_231 = transpose_68.reshape(1, 257, 1024)
+        transpose_68 = None
+        x_232 = torch._C._nn.linear(
+            x_231,
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_231 = l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_233 = torch.nn.functional.dropout(x_232, 0.0, False, False)
+        x_232 = None
+        x_234 = x_228 + x_233
+        x_228 = x_233 = None
+        x_235 = torch.nn.functional.layer_norm(
+            x_234,
+            (1024,),
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_16 = torch._C._nn.linear(
+            x_235,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_236 = torch._C._nn.linear(
+            x_235,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_235 = l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_16 = torch.nn.functional.silu(x_gate_16, inplace=False)
+        x_gate_16 = None
+        x_237 = silu_16 * x_236
+        silu_16 = x_236 = None
+        x_238 = torch.nn.functional.dropout(x_237, 0.0, False, False)
+        x_237 = None
+        x_239 = torch.nn.functional.layer_norm(
+            x_238,
+            (2730,),
+            l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_238 = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_240 = torch._C._nn.linear(
+            x_239,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_239 = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_241 = torch.nn.functional.dropout(x_240, 0.0, False, False)
+        x_240 = None
+        x_242 = x_234 + x_241
+        x_234 = x_241 = None
+        x_243 = torch.nn.functional.layer_norm(
+            x_242,
+            (1024,),
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        ) = None
+        linear_119 = torch._C._nn.linear(
+            x_243,
+            l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_102 = linear_119.reshape(1, 257, 16, -1)
+        linear_119 = None
+        q_34 = reshape_102.transpose(1, 2)
+        reshape_102 = None
+        linear_120 = torch._C._nn.linear(
+            x_243,
+            l_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_103 = linear_120.reshape(1, 257, 16, -1)
+        linear_120 = None
+        k_34 = reshape_103.transpose(1, 2)
+        reshape_103 = None
+        linear_121 = torch._C._nn.linear(
+            x_243,
+            l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_243 = l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_104 = linear_121.reshape(1, 257, 16, -1)
+        linear_121 = None
+        v_17 = reshape_104.transpose(1, 2)
+        reshape_104 = None
+        getitem_208 = q_34[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_209 = q_34[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_34 = None
+        tensor_split_34 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_34 = tensor_split_34[0]
+        cos_emb_34 = tensor_split_34[1]
+        tensor_split_34 = None
+        mul_85 = getitem_209 * cos_emb_34
+        cos_emb_34 = None
+        getitem_212 = getitem_209[(Ellipsis, slice(1, None, 2))]
+        neg_34 = -getitem_212
+        getitem_212 = None
+        getitem_213 = getitem_209[(Ellipsis, slice(None, None, 2))]
+        getitem_209 = None
+        stack_34 = torch.stack([neg_34, getitem_213], -1)
+        neg_34 = getitem_213 = None
+        reshape_105 = stack_34.reshape((1, 16, 256, 64))
+        stack_34 = None
+        mul_86 = reshape_105 * sin_emb_34
+        reshape_105 = sin_emb_34 = None
+        add_69 = mul_85 + mul_86
+        mul_85 = mul_86 = None
+        cat_35 = torch.cat([getitem_208, add_69], dim=2)
+        getitem_208 = add_69 = None
+        q_35 = cat_35.type_as(v_17)
+        cat_35 = None
+        getitem_214 = k_34[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_215 = k_34[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_34 = None
+        tensor_split_35 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_35 = tensor_split_35[0]
+        cos_emb_35 = tensor_split_35[1]
+        tensor_split_35 = None
+        mul_87 = getitem_215 * cos_emb_35
+        cos_emb_35 = None
+        getitem_218 = getitem_215[(Ellipsis, slice(1, None, 2))]
+        neg_35 = -getitem_218
+        getitem_218 = None
+        getitem_219 = getitem_215[(Ellipsis, slice(None, None, 2))]
+        getitem_215 = None
+        stack_35 = torch.stack([neg_35, getitem_219], -1)
+        neg_35 = getitem_219 = None
+        reshape_106 = stack_35.reshape((1, 16, 256, 64))
+        stack_35 = None
+        mul_88 = reshape_106 * sin_emb_35
+        reshape_106 = sin_emb_35 = None
+        add_70 = mul_87 + mul_88
+        mul_87 = mul_88 = None
+        cat_36 = torch.cat([getitem_214, add_70], dim=2)
+        getitem_214 = add_70 = None
+        k_35 = cat_36.type_as(v_17)
+        cat_36 = None
+        x_244 = torch._C._nn.scaled_dot_product_attention(
+            q_35, k_35, v_17, attn_mask=None, dropout_p=0.0
+        )
+        q_35 = k_35 = v_17 = None
+        transpose_72 = x_244.transpose(1, 2)
+        x_244 = None
+        x_245 = transpose_72.reshape(1, 257, 1024)
+        transpose_72 = None
+        x_246 = torch._C._nn.linear(
+            x_245,
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_245 = l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_247 = torch.nn.functional.dropout(x_246, 0.0, False, False)
+        x_246 = None
+        x_248 = x_242 + x_247
+        x_242 = x_247 = None
+        x_249 = torch.nn.functional.layer_norm(
+            x_248,
+            (1024,),
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_17 = torch._C._nn.linear(
+            x_249,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_250 = torch._C._nn.linear(
+            x_249,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_249 = l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_17 = torch.nn.functional.silu(x_gate_17, inplace=False)
+        x_gate_17 = None
+        x_251 = silu_17 * x_250
+        silu_17 = x_250 = None
+        x_252 = torch.nn.functional.dropout(x_251, 0.0, False, False)
+        x_251 = None
+        x_253 = torch.nn.functional.layer_norm(
+            x_252,
+            (2730,),
+            l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_252 = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_254 = torch._C._nn.linear(
+            x_253,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_253 = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_255 = torch.nn.functional.dropout(x_254, 0.0, False, False)
+        x_254 = None
+        x_256 = x_248 + x_255
+        x_248 = x_255 = None
+        x_257 = torch.nn.functional.layer_norm(
+            x_256,
+            (1024,),
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_
+        ) = None
+        linear_126 = torch._C._nn.linear(
+            x_257,
+            l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_108 = linear_126.reshape(1, 257, 16, -1)
+        linear_126 = None
+        q_36 = reshape_108.transpose(1, 2)
+        reshape_108 = None
+        linear_127 = torch._C._nn.linear(
+            x_257,
+            l_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_109 = linear_127.reshape(1, 257, 16, -1)
+        linear_127 = None
+        k_36 = reshape_109.transpose(1, 2)
+        reshape_109 = None
+        linear_128 = torch._C._nn.linear(
+            x_257,
+            l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_257 = l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_110 = linear_128.reshape(1, 257, 16, -1)
+        linear_128 = None
+        v_18 = reshape_110.transpose(1, 2)
+        reshape_110 = None
+        getitem_220 = q_36[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_221 = q_36[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_36 = None
+        tensor_split_36 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_36 = tensor_split_36[0]
+        cos_emb_36 = tensor_split_36[1]
+        tensor_split_36 = None
+        mul_90 = getitem_221 * cos_emb_36
+        cos_emb_36 = None
+        getitem_224 = getitem_221[(Ellipsis, slice(1, None, 2))]
+        neg_36 = -getitem_224
+        getitem_224 = None
+        getitem_225 = getitem_221[(Ellipsis, slice(None, None, 2))]
+        getitem_221 = None
+        stack_36 = torch.stack([neg_36, getitem_225], -1)
+        neg_36 = getitem_225 = None
+        reshape_111 = stack_36.reshape((1, 16, 256, 64))
+        stack_36 = None
+        mul_91 = reshape_111 * sin_emb_36
+        reshape_111 = sin_emb_36 = None
+        add_73 = mul_90 + mul_91
+        mul_90 = mul_91 = None
+        cat_37 = torch.cat([getitem_220, add_73], dim=2)
+        getitem_220 = add_73 = None
+        q_37 = cat_37.type_as(v_18)
+        cat_37 = None
+        getitem_226 = k_36[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_227 = k_36[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_36 = None
+        tensor_split_37 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_37 = tensor_split_37[0]
+        cos_emb_37 = tensor_split_37[1]
+        tensor_split_37 = None
+        mul_92 = getitem_227 * cos_emb_37
+        cos_emb_37 = None
+        getitem_230 = getitem_227[(Ellipsis, slice(1, None, 2))]
+        neg_37 = -getitem_230
+        getitem_230 = None
+        getitem_231 = getitem_227[(Ellipsis, slice(None, None, 2))]
+        getitem_227 = None
+        stack_37 = torch.stack([neg_37, getitem_231], -1)
+        neg_37 = getitem_231 = None
+        reshape_112 = stack_37.reshape((1, 16, 256, 64))
+        stack_37 = None
+        mul_93 = reshape_112 * sin_emb_37
+        reshape_112 = sin_emb_37 = None
+        add_74 = mul_92 + mul_93
+        mul_92 = mul_93 = None
+        cat_38 = torch.cat([getitem_226, add_74], dim=2)
+        getitem_226 = add_74 = None
+        k_37 = cat_38.type_as(v_18)
+        cat_38 = None
+        x_258 = torch._C._nn.scaled_dot_product_attention(
+            q_37, k_37, v_18, attn_mask=None, dropout_p=0.0
+        )
+        q_37 = k_37 = v_18 = None
+        transpose_76 = x_258.transpose(1, 2)
+        x_258 = None
+        x_259 = transpose_76.reshape(1, 257, 1024)
+        transpose_76 = None
+        x_260 = torch._C._nn.linear(
+            x_259,
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_259 = l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_261 = torch.nn.functional.dropout(x_260, 0.0, False, False)
+        x_260 = None
+        x_262 = x_256 + x_261
+        x_256 = x_261 = None
+        x_263 = torch.nn.functional.layer_norm(
+            x_262,
+            (1024,),
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_18 = torch._C._nn.linear(
+            x_263,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_264 = torch._C._nn.linear(
+            x_263,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_263 = l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_18 = torch.nn.functional.silu(x_gate_18, inplace=False)
+        x_gate_18 = None
+        x_265 = silu_18 * x_264
+        silu_18 = x_264 = None
+        x_266 = torch.nn.functional.dropout(x_265, 0.0, False, False)
+        x_265 = None
+        x_267 = torch.nn.functional.layer_norm(
+            x_266,
+            (2730,),
+            l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_266 = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_268 = torch._C._nn.linear(
+            x_267,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_267 = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_269 = torch.nn.functional.dropout(x_268, 0.0, False, False)
+        x_268 = None
+        x_270 = x_262 + x_269
+        x_262 = x_269 = None
+        x_271 = torch.nn.functional.layer_norm(
+            x_270,
+            (1024,),
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_
+        ) = None
+        linear_133 = torch._C._nn.linear(
+            x_271,
+            l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_114 = linear_133.reshape(1, 257, 16, -1)
+        linear_133 = None
+        q_38 = reshape_114.transpose(1, 2)
+        reshape_114 = None
+        linear_134 = torch._C._nn.linear(
+            x_271,
+            l_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_115 = linear_134.reshape(1, 257, 16, -1)
+        linear_134 = None
+        k_38 = reshape_115.transpose(1, 2)
+        reshape_115 = None
+        linear_135 = torch._C._nn.linear(
+            x_271,
+            l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_271 = l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_116 = linear_135.reshape(1, 257, 16, -1)
+        linear_135 = None
+        v_19 = reshape_116.transpose(1, 2)
+        reshape_116 = None
+        getitem_232 = q_38[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_233 = q_38[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_38 = None
+        tensor_split_38 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_38 = tensor_split_38[0]
+        cos_emb_38 = tensor_split_38[1]
+        tensor_split_38 = None
+        mul_95 = getitem_233 * cos_emb_38
+        cos_emb_38 = None
+        getitem_236 = getitem_233[(Ellipsis, slice(1, None, 2))]
+        neg_38 = -getitem_236
+        getitem_236 = None
+        getitem_237 = getitem_233[(Ellipsis, slice(None, None, 2))]
+        getitem_233 = None
+        stack_38 = torch.stack([neg_38, getitem_237], -1)
+        neg_38 = getitem_237 = None
+        reshape_117 = stack_38.reshape((1, 16, 256, 64))
+        stack_38 = None
+        mul_96 = reshape_117 * sin_emb_38
+        reshape_117 = sin_emb_38 = None
+        add_77 = mul_95 + mul_96
+        mul_95 = mul_96 = None
+        cat_39 = torch.cat([getitem_232, add_77], dim=2)
+        getitem_232 = add_77 = None
+        q_39 = cat_39.type_as(v_19)
+        cat_39 = None
+        getitem_238 = k_38[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_239 = k_38[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_38 = None
+        tensor_split_39 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_39 = tensor_split_39[0]
+        cos_emb_39 = tensor_split_39[1]
+        tensor_split_39 = None
+        mul_97 = getitem_239 * cos_emb_39
+        cos_emb_39 = None
+        getitem_242 = getitem_239[(Ellipsis, slice(1, None, 2))]
+        neg_39 = -getitem_242
+        getitem_242 = None
+        getitem_243 = getitem_239[(Ellipsis, slice(None, None, 2))]
+        getitem_239 = None
+        stack_39 = torch.stack([neg_39, getitem_243], -1)
+        neg_39 = getitem_243 = None
+        reshape_118 = stack_39.reshape((1, 16, 256, 64))
+        stack_39 = None
+        mul_98 = reshape_118 * sin_emb_39
+        reshape_118 = sin_emb_39 = None
+        add_78 = mul_97 + mul_98
+        mul_97 = mul_98 = None
+        cat_40 = torch.cat([getitem_238, add_78], dim=2)
+        getitem_238 = add_78 = None
+        k_39 = cat_40.type_as(v_19)
+        cat_40 = None
+        x_272 = torch._C._nn.scaled_dot_product_attention(
+            q_39, k_39, v_19, attn_mask=None, dropout_p=0.0
+        )
+        q_39 = k_39 = v_19 = None
+        transpose_80 = x_272.transpose(1, 2)
+        x_272 = None
+        x_273 = transpose_80.reshape(1, 257, 1024)
+        transpose_80 = None
+        x_274 = torch._C._nn.linear(
+            x_273,
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_273 = l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_275 = torch.nn.functional.dropout(x_274, 0.0, False, False)
+        x_274 = None
+        x_276 = x_270 + x_275
+        x_270 = x_275 = None
+        x_277 = torch.nn.functional.layer_norm(
+            x_276,
+            (1024,),
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_19 = torch._C._nn.linear(
+            x_277,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_278 = torch._C._nn.linear(
+            x_277,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_277 = l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_19 = torch.nn.functional.silu(x_gate_19, inplace=False)
+        x_gate_19 = None
+        x_279 = silu_19 * x_278
+        silu_19 = x_278 = None
+        x_280 = torch.nn.functional.dropout(x_279, 0.0, False, False)
+        x_279 = None
+        x_281 = torch.nn.functional.layer_norm(
+            x_280,
+            (2730,),
+            l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_280 = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_282 = torch._C._nn.linear(
+            x_281,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_281 = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_283 = torch.nn.functional.dropout(x_282, 0.0, False, False)
+        x_282 = None
+        x_284 = x_276 + x_283
+        x_276 = x_283 = None
+        x_285 = torch.nn.functional.layer_norm(
+            x_284,
+            (1024,),
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_
+        ) = None
+        linear_140 = torch._C._nn.linear(
+            x_285,
+            l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_120 = linear_140.reshape(1, 257, 16, -1)
+        linear_140 = None
+        q_40 = reshape_120.transpose(1, 2)
+        reshape_120 = None
+        linear_141 = torch._C._nn.linear(
+            x_285,
+            l_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_121 = linear_141.reshape(1, 257, 16, -1)
+        linear_141 = None
+        k_40 = reshape_121.transpose(1, 2)
+        reshape_121 = None
+        linear_142 = torch._C._nn.linear(
+            x_285,
+            l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_285 = l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_122 = linear_142.reshape(1, 257, 16, -1)
+        linear_142 = None
+        v_20 = reshape_122.transpose(1, 2)
+        reshape_122 = None
+        getitem_244 = q_40[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_245 = q_40[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_40 = None
+        tensor_split_40 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_40 = tensor_split_40[0]
+        cos_emb_40 = tensor_split_40[1]
+        tensor_split_40 = None
+        mul_100 = getitem_245 * cos_emb_40
+        cos_emb_40 = None
+        getitem_248 = getitem_245[(Ellipsis, slice(1, None, 2))]
+        neg_40 = -getitem_248
+        getitem_248 = None
+        getitem_249 = getitem_245[(Ellipsis, slice(None, None, 2))]
+        getitem_245 = None
+        stack_40 = torch.stack([neg_40, getitem_249], -1)
+        neg_40 = getitem_249 = None
+        reshape_123 = stack_40.reshape((1, 16, 256, 64))
+        stack_40 = None
+        mul_101 = reshape_123 * sin_emb_40
+        reshape_123 = sin_emb_40 = None
+        add_81 = mul_100 + mul_101
+        mul_100 = mul_101 = None
+        cat_41 = torch.cat([getitem_244, add_81], dim=2)
+        getitem_244 = add_81 = None
+        q_41 = cat_41.type_as(v_20)
+        cat_41 = None
+        getitem_250 = k_40[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_251 = k_40[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_40 = None
+        tensor_split_41 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_41 = tensor_split_41[0]
+        cos_emb_41 = tensor_split_41[1]
+        tensor_split_41 = None
+        mul_102 = getitem_251 * cos_emb_41
+        cos_emb_41 = None
+        getitem_254 = getitem_251[(Ellipsis, slice(1, None, 2))]
+        neg_41 = -getitem_254
+        getitem_254 = None
+        getitem_255 = getitem_251[(Ellipsis, slice(None, None, 2))]
+        getitem_251 = None
+        stack_41 = torch.stack([neg_41, getitem_255], -1)
+        neg_41 = getitem_255 = None
+        reshape_124 = stack_41.reshape((1, 16, 256, 64))
+        stack_41 = None
+        mul_103 = reshape_124 * sin_emb_41
+        reshape_124 = sin_emb_41 = None
+        add_82 = mul_102 + mul_103
+        mul_102 = mul_103 = None
+        cat_42 = torch.cat([getitem_250, add_82], dim=2)
+        getitem_250 = add_82 = None
+        k_41 = cat_42.type_as(v_20)
+        cat_42 = None
+        x_286 = torch._C._nn.scaled_dot_product_attention(
+            q_41, k_41, v_20, attn_mask=None, dropout_p=0.0
+        )
+        q_41 = k_41 = v_20 = None
+        transpose_84 = x_286.transpose(1, 2)
+        x_286 = None
+        x_287 = transpose_84.reshape(1, 257, 1024)
+        transpose_84 = None
+        x_288 = torch._C._nn.linear(
+            x_287,
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_287 = l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_289 = torch.nn.functional.dropout(x_288, 0.0, False, False)
+        x_288 = None
+        x_290 = x_284 + x_289
+        x_284 = x_289 = None
+        x_291 = torch.nn.functional.layer_norm(
+            x_290,
+            (1024,),
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_20 = torch._C._nn.linear(
+            x_291,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_292 = torch._C._nn.linear(
+            x_291,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_291 = l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_20 = torch.nn.functional.silu(x_gate_20, inplace=False)
+        x_gate_20 = None
+        x_293 = silu_20 * x_292
+        silu_20 = x_292 = None
+        x_294 = torch.nn.functional.dropout(x_293, 0.0, False, False)
+        x_293 = None
+        x_295 = torch.nn.functional.layer_norm(
+            x_294,
+            (2730,),
+            l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_294 = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_296 = torch._C._nn.linear(
+            x_295,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_295 = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_297 = torch.nn.functional.dropout(x_296, 0.0, False, False)
+        x_296 = None
+        x_298 = x_290 + x_297
+        x_290 = x_297 = None
+        x_299 = torch.nn.functional.layer_norm(
+            x_298,
+            (1024,),
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_
+        ) = None
+        linear_147 = torch._C._nn.linear(
+            x_299,
+            l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_126 = linear_147.reshape(1, 257, 16, -1)
+        linear_147 = None
+        q_42 = reshape_126.transpose(1, 2)
+        reshape_126 = None
+        linear_148 = torch._C._nn.linear(
+            x_299,
+            l_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_127 = linear_148.reshape(1, 257, 16, -1)
+        linear_148 = None
+        k_42 = reshape_127.transpose(1, 2)
+        reshape_127 = None
+        linear_149 = torch._C._nn.linear(
+            x_299,
+            l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_299 = l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_128 = linear_149.reshape(1, 257, 16, -1)
+        linear_149 = None
+        v_21 = reshape_128.transpose(1, 2)
+        reshape_128 = None
+        getitem_256 = q_42[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_257 = q_42[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_42 = None
+        tensor_split_42 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_42 = tensor_split_42[0]
+        cos_emb_42 = tensor_split_42[1]
+        tensor_split_42 = None
+        mul_105 = getitem_257 * cos_emb_42
+        cos_emb_42 = None
+        getitem_260 = getitem_257[(Ellipsis, slice(1, None, 2))]
+        neg_42 = -getitem_260
+        getitem_260 = None
+        getitem_261 = getitem_257[(Ellipsis, slice(None, None, 2))]
+        getitem_257 = None
+        stack_42 = torch.stack([neg_42, getitem_261], -1)
+        neg_42 = getitem_261 = None
+        reshape_129 = stack_42.reshape((1, 16, 256, 64))
+        stack_42 = None
+        mul_106 = reshape_129 * sin_emb_42
+        reshape_129 = sin_emb_42 = None
+        add_85 = mul_105 + mul_106
+        mul_105 = mul_106 = None
+        cat_43 = torch.cat([getitem_256, add_85], dim=2)
+        getitem_256 = add_85 = None
+        q_43 = cat_43.type_as(v_21)
+        cat_43 = None
+        getitem_262 = k_42[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_263 = k_42[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_42 = None
+        tensor_split_43 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_43 = tensor_split_43[0]
+        cos_emb_43 = tensor_split_43[1]
+        tensor_split_43 = None
+        mul_107 = getitem_263 * cos_emb_43
+        cos_emb_43 = None
+        getitem_266 = getitem_263[(Ellipsis, slice(1, None, 2))]
+        neg_43 = -getitem_266
+        getitem_266 = None
+        getitem_267 = getitem_263[(Ellipsis, slice(None, None, 2))]
+        getitem_263 = None
+        stack_43 = torch.stack([neg_43, getitem_267], -1)
+        neg_43 = getitem_267 = None
+        reshape_130 = stack_43.reshape((1, 16, 256, 64))
+        stack_43 = None
+        mul_108 = reshape_130 * sin_emb_43
+        reshape_130 = sin_emb_43 = None
+        add_86 = mul_107 + mul_108
+        mul_107 = mul_108 = None
+        cat_44 = torch.cat([getitem_262, add_86], dim=2)
+        getitem_262 = add_86 = None
+        k_43 = cat_44.type_as(v_21)
+        cat_44 = None
+        x_300 = torch._C._nn.scaled_dot_product_attention(
+            q_43, k_43, v_21, attn_mask=None, dropout_p=0.0
+        )
+        q_43 = k_43 = v_21 = None
+        transpose_88 = x_300.transpose(1, 2)
+        x_300 = None
+        x_301 = transpose_88.reshape(1, 257, 1024)
+        transpose_88 = None
+        x_302 = torch._C._nn.linear(
+            x_301,
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_301 = l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_303 = torch.nn.functional.dropout(x_302, 0.0, False, False)
+        x_302 = None
+        x_304 = x_298 + x_303
+        x_298 = x_303 = None
+        x_305 = torch.nn.functional.layer_norm(
+            x_304,
+            (1024,),
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_21 = torch._C._nn.linear(
+            x_305,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_306 = torch._C._nn.linear(
+            x_305,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_305 = l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_21 = torch.nn.functional.silu(x_gate_21, inplace=False)
+        x_gate_21 = None
+        x_307 = silu_21 * x_306
+        silu_21 = x_306 = None
+        x_308 = torch.nn.functional.dropout(x_307, 0.0, False, False)
+        x_307 = None
+        x_309 = torch.nn.functional.layer_norm(
+            x_308,
+            (2730,),
+            l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_308 = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_310 = torch._C._nn.linear(
+            x_309,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_309 = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_311 = torch.nn.functional.dropout(x_310, 0.0, False, False)
+        x_310 = None
+        x_312 = x_304 + x_311
+        x_304 = x_311 = None
+        x_313 = torch.nn.functional.layer_norm(
+            x_312,
+            (1024,),
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_
+        ) = None
+        linear_154 = torch._C._nn.linear(
+            x_313,
+            l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_132 = linear_154.reshape(1, 257, 16, -1)
+        linear_154 = None
+        q_44 = reshape_132.transpose(1, 2)
+        reshape_132 = None
+        linear_155 = torch._C._nn.linear(
+            x_313,
+            l_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_133 = linear_155.reshape(1, 257, 16, -1)
+        linear_155 = None
+        k_44 = reshape_133.transpose(1, 2)
+        reshape_133 = None
+        linear_156 = torch._C._nn.linear(
+            x_313,
+            l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_313 = l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_134 = linear_156.reshape(1, 257, 16, -1)
+        linear_156 = None
+        v_22 = reshape_134.transpose(1, 2)
+        reshape_134 = None
+        getitem_268 = q_44[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_269 = q_44[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_44 = None
+        tensor_split_44 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_44 = tensor_split_44[0]
+        cos_emb_44 = tensor_split_44[1]
+        tensor_split_44 = None
+        mul_110 = getitem_269 * cos_emb_44
+        cos_emb_44 = None
+        getitem_272 = getitem_269[(Ellipsis, slice(1, None, 2))]
+        neg_44 = -getitem_272
+        getitem_272 = None
+        getitem_273 = getitem_269[(Ellipsis, slice(None, None, 2))]
+        getitem_269 = None
+        stack_44 = torch.stack([neg_44, getitem_273], -1)
+        neg_44 = getitem_273 = None
+        reshape_135 = stack_44.reshape((1, 16, 256, 64))
+        stack_44 = None
+        mul_111 = reshape_135 * sin_emb_44
+        reshape_135 = sin_emb_44 = None
+        add_89 = mul_110 + mul_111
+        mul_110 = mul_111 = None
+        cat_45 = torch.cat([getitem_268, add_89], dim=2)
+        getitem_268 = add_89 = None
+        q_45 = cat_45.type_as(v_22)
+        cat_45 = None
+        getitem_274 = k_44[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_275 = k_44[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_44 = None
+        tensor_split_45 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_45 = tensor_split_45[0]
+        cos_emb_45 = tensor_split_45[1]
+        tensor_split_45 = None
+        mul_112 = getitem_275 * cos_emb_45
+        cos_emb_45 = None
+        getitem_278 = getitem_275[(Ellipsis, slice(1, None, 2))]
+        neg_45 = -getitem_278
+        getitem_278 = None
+        getitem_279 = getitem_275[(Ellipsis, slice(None, None, 2))]
+        getitem_275 = None
+        stack_45 = torch.stack([neg_45, getitem_279], -1)
+        neg_45 = getitem_279 = None
+        reshape_136 = stack_45.reshape((1, 16, 256, 64))
+        stack_45 = None
+        mul_113 = reshape_136 * sin_emb_45
+        reshape_136 = sin_emb_45 = None
+        add_90 = mul_112 + mul_113
+        mul_112 = mul_113 = None
+        cat_46 = torch.cat([getitem_274, add_90], dim=2)
+        getitem_274 = add_90 = None
+        k_45 = cat_46.type_as(v_22)
+        cat_46 = None
+        x_314 = torch._C._nn.scaled_dot_product_attention(
+            q_45, k_45, v_22, attn_mask=None, dropout_p=0.0
+        )
+        q_45 = k_45 = v_22 = None
+        transpose_92 = x_314.transpose(1, 2)
+        x_314 = None
+        x_315 = transpose_92.reshape(1, 257, 1024)
+        transpose_92 = None
+        x_316 = torch._C._nn.linear(
+            x_315,
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_315 = l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_317 = torch.nn.functional.dropout(x_316, 0.0, False, False)
+        x_316 = None
+        x_318 = x_312 + x_317
+        x_312 = x_317 = None
+        x_319 = torch.nn.functional.layer_norm(
+            x_318,
+            (1024,),
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_22 = torch._C._nn.linear(
+            x_319,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_320 = torch._C._nn.linear(
+            x_319,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_319 = l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_22 = torch.nn.functional.silu(x_gate_22, inplace=False)
+        x_gate_22 = None
+        x_321 = silu_22 * x_320
+        silu_22 = x_320 = None
+        x_322 = torch.nn.functional.dropout(x_321, 0.0, False, False)
+        x_321 = None
+        x_323 = torch.nn.functional.layer_norm(
+            x_322,
+            (2730,),
+            l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_322 = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_324 = torch._C._nn.linear(
+            x_323,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_323 = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_325 = torch.nn.functional.dropout(x_324, 0.0, False, False)
+        x_324 = None
+        x_326 = x_318 + x_325
+        x_318 = x_325 = None
+        x_327 = torch.nn.functional.layer_norm(
+            x_326,
+            (1024,),
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_
+        ) = None
+        linear_161 = torch._C._nn.linear(
+            x_327,
+            l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_138 = linear_161.reshape(1, 257, 16, -1)
+        linear_161 = None
+        q_46 = reshape_138.transpose(1, 2)
+        reshape_138 = None
+        linear_162 = torch._C._nn.linear(
+            x_327,
+            l_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_139 = linear_162.reshape(1, 257, 16, -1)
+        linear_162 = None
+        k_46 = reshape_139.transpose(1, 2)
+        reshape_139 = None
+        linear_163 = torch._C._nn.linear(
+            x_327,
+            l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_327 = l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_140 = linear_163.reshape(1, 257, 16, -1)
+        linear_163 = None
+        v_23 = reshape_140.transpose(1, 2)
+        reshape_140 = None
+        getitem_280 = q_46[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_281 = q_46[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_46 = None
+        tensor_split_46 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_46 = tensor_split_46[0]
+        cos_emb_46 = tensor_split_46[1]
+        tensor_split_46 = None
+        mul_115 = getitem_281 * cos_emb_46
+        cos_emb_46 = None
+        getitem_284 = getitem_281[(Ellipsis, slice(1, None, 2))]
+        neg_46 = -getitem_284
+        getitem_284 = None
+        getitem_285 = getitem_281[(Ellipsis, slice(None, None, 2))]
+        getitem_281 = None
+        stack_46 = torch.stack([neg_46, getitem_285], -1)
+        neg_46 = getitem_285 = None
+        reshape_141 = stack_46.reshape((1, 16, 256, 64))
+        stack_46 = None
+        mul_116 = reshape_141 * sin_emb_46
+        reshape_141 = sin_emb_46 = None
+        add_93 = mul_115 + mul_116
+        mul_115 = mul_116 = None
+        cat_47 = torch.cat([getitem_280, add_93], dim=2)
+        getitem_280 = add_93 = None
+        q_47 = cat_47.type_as(v_23)
+        cat_47 = None
+        getitem_286 = k_46[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_287 = k_46[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_46 = None
+        tensor_split_47 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        l_self_modules_rope_buffers_pos_embed_ = None
+        sin_emb_47 = tensor_split_47[0]
+        cos_emb_47 = tensor_split_47[1]
+        tensor_split_47 = None
+        mul_117 = getitem_287 * cos_emb_47
+        cos_emb_47 = None
+        getitem_290 = getitem_287[(Ellipsis, slice(1, None, 2))]
+        neg_47 = -getitem_290
+        getitem_290 = None
+        getitem_291 = getitem_287[(Ellipsis, slice(None, None, 2))]
+        getitem_287 = None
+        stack_47 = torch.stack([neg_47, getitem_291], -1)
+        neg_47 = getitem_291 = None
+        reshape_142 = stack_47.reshape((1, 16, 256, 64))
+        stack_47 = None
+        mul_118 = reshape_142 * sin_emb_47
+        reshape_142 = sin_emb_47 = None
+        add_94 = mul_117 + mul_118
+        mul_117 = mul_118 = None
+        cat_48 = torch.cat([getitem_286, add_94], dim=2)
+        getitem_286 = add_94 = None
+        k_47 = cat_48.type_as(v_23)
+        cat_48 = None
+        x_328 = torch._C._nn.scaled_dot_product_attention(
+            q_47, k_47, v_23, attn_mask=None, dropout_p=0.0
+        )
+        q_47 = k_47 = v_23 = None
+        transpose_96 = x_328.transpose(1, 2)
+        x_328 = None
+        x_329 = transpose_96.reshape(1, 257, 1024)
+        transpose_96 = None
+        x_330 = torch._C._nn.linear(
+            x_329,
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_329 = l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_331 = torch.nn.functional.dropout(x_330, 0.0, False, False)
+        x_330 = None
+        x_332 = x_326 + x_331
+        x_326 = x_331 = None
+        x_333 = torch.nn.functional.layer_norm(
+            x_332,
+            (1024,),
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_23 = torch._C._nn.linear(
+            x_333,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_334 = torch._C._nn.linear(
+            x_333,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_333 = l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_23 = torch.nn.functional.silu(x_gate_23, inplace=False)
+        x_gate_23 = None
+        x_335 = silu_23 * x_334
+        silu_23 = x_334 = None
+        x_336 = torch.nn.functional.dropout(x_335, 0.0, False, False)
+        x_335 = None
+        x_337 = torch.nn.functional.layer_norm(
+            x_336,
+            (2730,),
+            l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_336 = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_338 = torch._C._nn.linear(
+            x_337,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_337 = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_339 = torch.nn.functional.dropout(x_338, 0.0, False, False)
+        x_338 = None
+        x_340 = x_332 + x_339
+        x_332 = x_339 = None
+        x_341 = x_340[
+            (slice(None, None, None), slice(l_self_num_prefix_tokens, None, None))
+        ]
+        x_340 = l_self_num_prefix_tokens = None
+        x_342 = x_341.mean(dim=1)
+        x_341 = None
+        x_343 = torch.nn.functional.layer_norm(
+            x_342,
+            (1024,),
+            l_self_modules_fc_norm_parameters_weight_,
+            l_self_modules_fc_norm_parameters_bias_,
+            1e-06,
+        )
+        x_342 = (
+            l_self_modules_fc_norm_parameters_weight_
+        ) = l_self_modules_fc_norm_parameters_bias_ = None
+        x_344 = torch.nn.functional.dropout(x_343, 0.0, False, False)
+        x_343 = None
+        return (x_344,)
diff --git a/samples/timm/eva02_large_patch14_224.mim_in22k/weight_meta.py b/samples/timm/eva02_large_patch14_224.mim_in22k/weight_meta.py
new file mode 100644
index 000000000..1d50b6a84
--- /dev/null
+++ b/samples/timm/eva02_large_patch14_224.mim_in22k/weight_meta.py
@@ -0,0 +1,4976 @@
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.224
+    std = 1.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [1024, 3, 14, 14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_pos_embed_:
+    name = "L_self_parameters_pos_embed_"
+    shape = [1, 257, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_rope_buffers_pos_embed_:
+    name = "L_self_modules_rope_buffers_pos_embed_"
+    shape = [256, 128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.448
+    std = 0.547
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_cls_token_:
+    name = "L_self_parameters_cls_token_"
+    shape = [1, 1, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_num_prefix_tokens:
+    name = "L_self_num_prefix_tokens"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_norm_parameters_weight_:
+    name = "L_self_modules_fc_norm_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_norm_parameters_bias_:
+    name = "L_self_modules_fc_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/eva02_large_patch14_clip_224.merged2b/graph_hash.txt b/samples/timm/eva02_large_patch14_clip_224.merged2b/graph_hash.txt
new file mode 100644
index 000000000..9ff3941b9
--- /dev/null
+++ b/samples/timm/eva02_large_patch14_clip_224.merged2b/graph_hash.txt
@@ -0,0 +1 @@
+cfd51d0026b83e9d05b2c4745ccc0d05b98ba10da5cded9b27e84d1ddcfd4a70
\ No newline at end of file
diff --git a/samples/timm/eva02_large_patch14_clip_224.merged2b/graph_net.json b/samples/timm/eva02_large_patch14_clip_224.merged2b/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/eva02_large_patch14_clip_224.merged2b/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/eva02_large_patch14_clip_224.merged2b/input_meta.py b/samples/timm/eva02_large_patch14_clip_224.merged2b/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_large_patch14_clip_224.merged2b/input_tensor_constraints.py b/samples/timm/eva02_large_patch14_clip_224.merged2b/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_large_patch14_clip_224.merged2b/model.py b/samples/timm/eva02_large_patch14_clip_224.merged2b/model.py
new file mode 100644
index 000000000..7da235425
--- /dev/null
+++ b/samples/timm/eva02_large_patch14_clip_224.merged2b/model.py
@@ -0,0 +1,6923 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_parameters_pos_embed_: torch.nn.parameter.Parameter,
+        L_self_modules_rope_buffers_pos_embed_: torch.Tensor,
+        L_self_parameters_cls_token_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_proj_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_bias_
+        )
+        l_self_parameters_pos_embed_ = L_self_parameters_pos_embed_
+        l_self_modules_rope_buffers_pos_embed_ = L_self_modules_rope_buffers_pos_embed_
+        l_self_parameters_cls_token_ = L_self_parameters_cls_token_
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_ = L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_ = L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_parameters_weight_ = L_self_modules_head_parameters_weight_
+        l_self_modules_head_parameters_bias_ = L_self_modules_head_parameters_bias_
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            l_self_modules_patch_embed_modules_proj_parameters_bias_,
+            (14, 14),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_patch_embed_modules_proj_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_proj_parameters_bias_ = None
+        flatten = x.flatten(2)
+        x = None
+        x_1 = flatten.transpose(1, 2)
+        flatten = None
+        expand = l_self_parameters_cls_token_.expand(1, -1, -1)
+        l_self_parameters_cls_token_ = None
+        x_2 = torch.cat([expand, x_1], dim=1)
+        expand = x_1 = None
+        x_3 = x_2 + l_self_parameters_pos_embed_
+        x_2 = l_self_parameters_pos_embed_ = None
+        x_4 = torch.nn.functional.dropout(x_3, 0.0, False, False)
+        x_3 = None
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (1024,),
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        ) = None
+        linear = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape = linear.reshape(1, 257, 16, -1)
+        linear = None
+        q = reshape.transpose(1, 2)
+        reshape = None
+        linear_1 = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_1 = linear_1.reshape(1, 257, 16, -1)
+        linear_1 = None
+        k = reshape_1.transpose(1, 2)
+        reshape_1 = None
+        linear_2 = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_5 = l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_2 = linear_2.reshape(1, 257, 16, -1)
+        linear_2 = None
+        v = reshape_2.transpose(1, 2)
+        reshape_2 = None
+        getitem_4 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_5 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q = None
+        tensor_split = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb = tensor_split[0]
+        cos_emb = tensor_split[1]
+        tensor_split = None
+        mul = getitem_5 * cos_emb
+        cos_emb = None
+        getitem_8 = getitem_5[(Ellipsis, slice(1, None, 2))]
+        neg = -getitem_8
+        getitem_8 = None
+        getitem_9 = getitem_5[(Ellipsis, slice(None, None, 2))]
+        getitem_5 = None
+        stack = torch.stack([neg, getitem_9], -1)
+        neg = getitem_9 = None
+        reshape_3 = stack.reshape((1, 16, 256, 64))
+        stack = None
+        mul_1 = reshape_3 * sin_emb
+        reshape_3 = sin_emb = None
+        add_1 = mul + mul_1
+        mul = mul_1 = None
+        cat_1 = torch.cat([getitem_4, add_1], dim=2)
+        getitem_4 = add_1 = None
+        q_1 = cat_1.type_as(v)
+        cat_1 = None
+        getitem_10 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_11 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k = None
+        tensor_split_1 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_1 = tensor_split_1[0]
+        cos_emb_1 = tensor_split_1[1]
+        tensor_split_1 = None
+        mul_2 = getitem_11 * cos_emb_1
+        cos_emb_1 = None
+        getitem_14 = getitem_11[(Ellipsis, slice(1, None, 2))]
+        neg_1 = -getitem_14
+        getitem_14 = None
+        getitem_15 = getitem_11[(Ellipsis, slice(None, None, 2))]
+        getitem_11 = None
+        stack_1 = torch.stack([neg_1, getitem_15], -1)
+        neg_1 = getitem_15 = None
+        reshape_4 = stack_1.reshape((1, 16, 256, 64))
+        stack_1 = None
+        mul_3 = reshape_4 * sin_emb_1
+        reshape_4 = sin_emb_1 = None
+        add_2 = mul_2 + mul_3
+        mul_2 = mul_3 = None
+        cat_2 = torch.cat([getitem_10, add_2], dim=2)
+        getitem_10 = add_2 = None
+        k_1 = cat_2.type_as(v)
+        cat_2 = None
+        x_6 = torch._C._nn.scaled_dot_product_attention(
+            q_1, k_1, v, attn_mask=None, dropout_p=0.0
+        )
+        q_1 = k_1 = v = None
+        transpose_4 = x_6.transpose(1, 2)
+        x_6 = None
+        x_7 = transpose_4.reshape(1, 257, 1024)
+        transpose_4 = None
+        x_8 = torch.nn.functional.layer_norm(
+            x_7,
+            (1024,),
+            l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_9 = torch._C._nn.linear(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.dropout(x_9, 0.0, False, False)
+        x_9 = None
+        x_11 = x_4 + x_10
+        x_4 = x_10 = None
+        x_12 = torch.nn.functional.layer_norm(
+            x_11,
+            (1024,),
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        ) = None
+        x_gate = torch._C._nn.linear(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_13 = torch._C._nn.linear(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu = torch.nn.functional.silu(x_gate, inplace=False)
+        x_gate = None
+        x_14 = silu * x_13
+        silu = x_13 = None
+        x_15 = torch.nn.functional.dropout(x_14, 0.0, False, False)
+        x_14 = None
+        x_16 = torch.nn.functional.layer_norm(
+            x_15,
+            (2730,),
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_17 = torch._C._nn.linear(
+            x_16,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.dropout(x_17, 0.0, False, False)
+        x_17 = None
+        x_19 = x_11 + x_18
+        x_11 = x_18 = None
+        x_20 = torch.nn.functional.layer_norm(
+            x_19,
+            (1024,),
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        ) = None
+        linear_7 = torch._C._nn.linear(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_6 = linear_7.reshape(1, 257, 16, -1)
+        linear_7 = None
+        q_2 = reshape_6.transpose(1, 2)
+        reshape_6 = None
+        linear_8 = torch._C._nn.linear(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_7 = linear_8.reshape(1, 257, 16, -1)
+        linear_8 = None
+        k_2 = reshape_7.transpose(1, 2)
+        reshape_7 = None
+        linear_9 = torch._C._nn.linear(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_20 = l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_8 = linear_9.reshape(1, 257, 16, -1)
+        linear_9 = None
+        v_1 = reshape_8.transpose(1, 2)
+        reshape_8 = None
+        getitem_16 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_17 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_2 = None
+        tensor_split_2 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_2 = tensor_split_2[0]
+        cos_emb_2 = tensor_split_2[1]
+        tensor_split_2 = None
+        mul_5 = getitem_17 * cos_emb_2
+        cos_emb_2 = None
+        getitem_20 = getitem_17[(Ellipsis, slice(1, None, 2))]
+        neg_2 = -getitem_20
+        getitem_20 = None
+        getitem_21 = getitem_17[(Ellipsis, slice(None, None, 2))]
+        getitem_17 = None
+        stack_2 = torch.stack([neg_2, getitem_21], -1)
+        neg_2 = getitem_21 = None
+        reshape_9 = stack_2.reshape((1, 16, 256, 64))
+        stack_2 = None
+        mul_6 = reshape_9 * sin_emb_2
+        reshape_9 = sin_emb_2 = None
+        add_5 = mul_5 + mul_6
+        mul_5 = mul_6 = None
+        cat_3 = torch.cat([getitem_16, add_5], dim=2)
+        getitem_16 = add_5 = None
+        q_3 = cat_3.type_as(v_1)
+        cat_3 = None
+        getitem_22 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_23 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_2 = None
+        tensor_split_3 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_3 = tensor_split_3[0]
+        cos_emb_3 = tensor_split_3[1]
+        tensor_split_3 = None
+        mul_7 = getitem_23 * cos_emb_3
+        cos_emb_3 = None
+        getitem_26 = getitem_23[(Ellipsis, slice(1, None, 2))]
+        neg_3 = -getitem_26
+        getitem_26 = None
+        getitem_27 = getitem_23[(Ellipsis, slice(None, None, 2))]
+        getitem_23 = None
+        stack_3 = torch.stack([neg_3, getitem_27], -1)
+        neg_3 = getitem_27 = None
+        reshape_10 = stack_3.reshape((1, 16, 256, 64))
+        stack_3 = None
+        mul_8 = reshape_10 * sin_emb_3
+        reshape_10 = sin_emb_3 = None
+        add_6 = mul_7 + mul_8
+        mul_7 = mul_8 = None
+        cat_4 = torch.cat([getitem_22, add_6], dim=2)
+        getitem_22 = add_6 = None
+        k_3 = cat_4.type_as(v_1)
+        cat_4 = None
+        x_21 = torch._C._nn.scaled_dot_product_attention(
+            q_3, k_3, v_1, attn_mask=None, dropout_p=0.0
+        )
+        q_3 = k_3 = v_1 = None
+        transpose_8 = x_21.transpose(1, 2)
+        x_21 = None
+        x_22 = transpose_8.reshape(1, 257, 1024)
+        transpose_8 = None
+        x_23 = torch.nn.functional.layer_norm(
+            x_22,
+            (1024,),
+            l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_22 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_24 = torch._C._nn.linear(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_25 = torch.nn.functional.dropout(x_24, 0.0, False, False)
+        x_24 = None
+        x_26 = x_19 + x_25
+        x_19 = x_25 = None
+        x_27 = torch.nn.functional.layer_norm(
+            x_26,
+            (1024,),
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_1 = torch._C._nn.linear(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_28 = torch._C._nn.linear(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_1 = torch.nn.functional.silu(x_gate_1, inplace=False)
+        x_gate_1 = None
+        x_29 = silu_1 * x_28
+        silu_1 = x_28 = None
+        x_30 = torch.nn.functional.dropout(x_29, 0.0, False, False)
+        x_29 = None
+        x_31 = torch.nn.functional.layer_norm(
+            x_30,
+            (2730,),
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_30 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_32 = torch._C._nn.linear(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_33 = torch.nn.functional.dropout(x_32, 0.0, False, False)
+        x_32 = None
+        x_34 = x_26 + x_33
+        x_26 = x_33 = None
+        x_35 = torch.nn.functional.layer_norm(
+            x_34,
+            (1024,),
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        ) = None
+        linear_14 = torch._C._nn.linear(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_12 = linear_14.reshape(1, 257, 16, -1)
+        linear_14 = None
+        q_4 = reshape_12.transpose(1, 2)
+        reshape_12 = None
+        linear_15 = torch._C._nn.linear(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_13 = linear_15.reshape(1, 257, 16, -1)
+        linear_15 = None
+        k_4 = reshape_13.transpose(1, 2)
+        reshape_13 = None
+        linear_16 = torch._C._nn.linear(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_35 = l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_14 = linear_16.reshape(1, 257, 16, -1)
+        linear_16 = None
+        v_2 = reshape_14.transpose(1, 2)
+        reshape_14 = None
+        getitem_28 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_29 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_4 = None
+        tensor_split_4 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_4 = tensor_split_4[0]
+        cos_emb_4 = tensor_split_4[1]
+        tensor_split_4 = None
+        mul_10 = getitem_29 * cos_emb_4
+        cos_emb_4 = None
+        getitem_32 = getitem_29[(Ellipsis, slice(1, None, 2))]
+        neg_4 = -getitem_32
+        getitem_32 = None
+        getitem_33 = getitem_29[(Ellipsis, slice(None, None, 2))]
+        getitem_29 = None
+        stack_4 = torch.stack([neg_4, getitem_33], -1)
+        neg_4 = getitem_33 = None
+        reshape_15 = stack_4.reshape((1, 16, 256, 64))
+        stack_4 = None
+        mul_11 = reshape_15 * sin_emb_4
+        reshape_15 = sin_emb_4 = None
+        add_9 = mul_10 + mul_11
+        mul_10 = mul_11 = None
+        cat_5 = torch.cat([getitem_28, add_9], dim=2)
+        getitem_28 = add_9 = None
+        q_5 = cat_5.type_as(v_2)
+        cat_5 = None
+        getitem_34 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_35 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_4 = None
+        tensor_split_5 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_5 = tensor_split_5[0]
+        cos_emb_5 = tensor_split_5[1]
+        tensor_split_5 = None
+        mul_12 = getitem_35 * cos_emb_5
+        cos_emb_5 = None
+        getitem_38 = getitem_35[(Ellipsis, slice(1, None, 2))]
+        neg_5 = -getitem_38
+        getitem_38 = None
+        getitem_39 = getitem_35[(Ellipsis, slice(None, None, 2))]
+        getitem_35 = None
+        stack_5 = torch.stack([neg_5, getitem_39], -1)
+        neg_5 = getitem_39 = None
+        reshape_16 = stack_5.reshape((1, 16, 256, 64))
+        stack_5 = None
+        mul_13 = reshape_16 * sin_emb_5
+        reshape_16 = sin_emb_5 = None
+        add_10 = mul_12 + mul_13
+        mul_12 = mul_13 = None
+        cat_6 = torch.cat([getitem_34, add_10], dim=2)
+        getitem_34 = add_10 = None
+        k_5 = cat_6.type_as(v_2)
+        cat_6 = None
+        x_36 = torch._C._nn.scaled_dot_product_attention(
+            q_5, k_5, v_2, attn_mask=None, dropout_p=0.0
+        )
+        q_5 = k_5 = v_2 = None
+        transpose_12 = x_36.transpose(1, 2)
+        x_36 = None
+        x_37 = transpose_12.reshape(1, 257, 1024)
+        transpose_12 = None
+        x_38 = torch.nn.functional.layer_norm(
+            x_37,
+            (1024,),
+            l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_39 = torch._C._nn.linear(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_40 = torch.nn.functional.dropout(x_39, 0.0, False, False)
+        x_39 = None
+        x_41 = x_34 + x_40
+        x_34 = x_40 = None
+        x_42 = torch.nn.functional.layer_norm(
+            x_41,
+            (1024,),
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_2 = torch._C._nn.linear(
+            x_42,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_43 = torch._C._nn.linear(
+            x_42,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_2 = torch.nn.functional.silu(x_gate_2, inplace=False)
+        x_gate_2 = None
+        x_44 = silu_2 * x_43
+        silu_2 = x_43 = None
+        x_45 = torch.nn.functional.dropout(x_44, 0.0, False, False)
+        x_44 = None
+        x_46 = torch.nn.functional.layer_norm(
+            x_45,
+            (2730,),
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_47 = torch._C._nn.linear(
+            x_46,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_41 + x_48
+        x_41 = x_48 = None
+        x_50 = torch.nn.functional.layer_norm(
+            x_49,
+            (1024,),
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        ) = None
+        linear_21 = torch._C._nn.linear(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_18 = linear_21.reshape(1, 257, 16, -1)
+        linear_21 = None
+        q_6 = reshape_18.transpose(1, 2)
+        reshape_18 = None
+        linear_22 = torch._C._nn.linear(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_19 = linear_22.reshape(1, 257, 16, -1)
+        linear_22 = None
+        k_6 = reshape_19.transpose(1, 2)
+        reshape_19 = None
+        linear_23 = torch._C._nn.linear(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_50 = l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_20 = linear_23.reshape(1, 257, 16, -1)
+        linear_23 = None
+        v_3 = reshape_20.transpose(1, 2)
+        reshape_20 = None
+        getitem_40 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_41 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_6 = None
+        tensor_split_6 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_6 = tensor_split_6[0]
+        cos_emb_6 = tensor_split_6[1]
+        tensor_split_6 = None
+        mul_15 = getitem_41 * cos_emb_6
+        cos_emb_6 = None
+        getitem_44 = getitem_41[(Ellipsis, slice(1, None, 2))]
+        neg_6 = -getitem_44
+        getitem_44 = None
+        getitem_45 = getitem_41[(Ellipsis, slice(None, None, 2))]
+        getitem_41 = None
+        stack_6 = torch.stack([neg_6, getitem_45], -1)
+        neg_6 = getitem_45 = None
+        reshape_21 = stack_6.reshape((1, 16, 256, 64))
+        stack_6 = None
+        mul_16 = reshape_21 * sin_emb_6
+        reshape_21 = sin_emb_6 = None
+        add_13 = mul_15 + mul_16
+        mul_15 = mul_16 = None
+        cat_7 = torch.cat([getitem_40, add_13], dim=2)
+        getitem_40 = add_13 = None
+        q_7 = cat_7.type_as(v_3)
+        cat_7 = None
+        getitem_46 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_47 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_6 = None
+        tensor_split_7 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_7 = tensor_split_7[0]
+        cos_emb_7 = tensor_split_7[1]
+        tensor_split_7 = None
+        mul_17 = getitem_47 * cos_emb_7
+        cos_emb_7 = None
+        getitem_50 = getitem_47[(Ellipsis, slice(1, None, 2))]
+        neg_7 = -getitem_50
+        getitem_50 = None
+        getitem_51 = getitem_47[(Ellipsis, slice(None, None, 2))]
+        getitem_47 = None
+        stack_7 = torch.stack([neg_7, getitem_51], -1)
+        neg_7 = getitem_51 = None
+        reshape_22 = stack_7.reshape((1, 16, 256, 64))
+        stack_7 = None
+        mul_18 = reshape_22 * sin_emb_7
+        reshape_22 = sin_emb_7 = None
+        add_14 = mul_17 + mul_18
+        mul_17 = mul_18 = None
+        cat_8 = torch.cat([getitem_46, add_14], dim=2)
+        getitem_46 = add_14 = None
+        k_7 = cat_8.type_as(v_3)
+        cat_8 = None
+        x_51 = torch._C._nn.scaled_dot_product_attention(
+            q_7, k_7, v_3, attn_mask=None, dropout_p=0.0
+        )
+        q_7 = k_7 = v_3 = None
+        transpose_16 = x_51.transpose(1, 2)
+        x_51 = None
+        x_52 = transpose_16.reshape(1, 257, 1024)
+        transpose_16 = None
+        x_53 = torch.nn.functional.layer_norm(
+            x_52,
+            (1024,),
+            l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_54 = torch._C._nn.linear(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.dropout(x_54, 0.0, False, False)
+        x_54 = None
+        x_56 = x_49 + x_55
+        x_49 = x_55 = None
+        x_57 = torch.nn.functional.layer_norm(
+            x_56,
+            (1024,),
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_3 = torch._C._nn.linear(
+            x_57,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_58 = torch._C._nn.linear(
+            x_57,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_3 = torch.nn.functional.silu(x_gate_3, inplace=False)
+        x_gate_3 = None
+        x_59 = silu_3 * x_58
+        silu_3 = x_58 = None
+        x_60 = torch.nn.functional.dropout(x_59, 0.0, False, False)
+        x_59 = None
+        x_61 = torch.nn.functional.layer_norm(
+            x_60,
+            (2730,),
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_60 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_62 = torch._C._nn.linear(
+            x_61,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_63 = torch.nn.functional.dropout(x_62, 0.0, False, False)
+        x_62 = None
+        x_64 = x_56 + x_63
+        x_56 = x_63 = None
+        x_65 = torch.nn.functional.layer_norm(
+            x_64,
+            (1024,),
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        ) = None
+        linear_28 = torch._C._nn.linear(
+            x_65,
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_24 = linear_28.reshape(1, 257, 16, -1)
+        linear_28 = None
+        q_8 = reshape_24.transpose(1, 2)
+        reshape_24 = None
+        linear_29 = torch._C._nn.linear(
+            x_65,
+            l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_25 = linear_29.reshape(1, 257, 16, -1)
+        linear_29 = None
+        k_8 = reshape_25.transpose(1, 2)
+        reshape_25 = None
+        linear_30 = torch._C._nn.linear(
+            x_65,
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_65 = l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_26 = linear_30.reshape(1, 257, 16, -1)
+        linear_30 = None
+        v_4 = reshape_26.transpose(1, 2)
+        reshape_26 = None
+        getitem_52 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_53 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_8 = None
+        tensor_split_8 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_8 = tensor_split_8[0]
+        cos_emb_8 = tensor_split_8[1]
+        tensor_split_8 = None
+        mul_20 = getitem_53 * cos_emb_8
+        cos_emb_8 = None
+        getitem_56 = getitem_53[(Ellipsis, slice(1, None, 2))]
+        neg_8 = -getitem_56
+        getitem_56 = None
+        getitem_57 = getitem_53[(Ellipsis, slice(None, None, 2))]
+        getitem_53 = None
+        stack_8 = torch.stack([neg_8, getitem_57], -1)
+        neg_8 = getitem_57 = None
+        reshape_27 = stack_8.reshape((1, 16, 256, 64))
+        stack_8 = None
+        mul_21 = reshape_27 * sin_emb_8
+        reshape_27 = sin_emb_8 = None
+        add_17 = mul_20 + mul_21
+        mul_20 = mul_21 = None
+        cat_9 = torch.cat([getitem_52, add_17], dim=2)
+        getitem_52 = add_17 = None
+        q_9 = cat_9.type_as(v_4)
+        cat_9 = None
+        getitem_58 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_59 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_8 = None
+        tensor_split_9 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_9 = tensor_split_9[0]
+        cos_emb_9 = tensor_split_9[1]
+        tensor_split_9 = None
+        mul_22 = getitem_59 * cos_emb_9
+        cos_emb_9 = None
+        getitem_62 = getitem_59[(Ellipsis, slice(1, None, 2))]
+        neg_9 = -getitem_62
+        getitem_62 = None
+        getitem_63 = getitem_59[(Ellipsis, slice(None, None, 2))]
+        getitem_59 = None
+        stack_9 = torch.stack([neg_9, getitem_63], -1)
+        neg_9 = getitem_63 = None
+        reshape_28 = stack_9.reshape((1, 16, 256, 64))
+        stack_9 = None
+        mul_23 = reshape_28 * sin_emb_9
+        reshape_28 = sin_emb_9 = None
+        add_18 = mul_22 + mul_23
+        mul_22 = mul_23 = None
+        cat_10 = torch.cat([getitem_58, add_18], dim=2)
+        getitem_58 = add_18 = None
+        k_9 = cat_10.type_as(v_4)
+        cat_10 = None
+        x_66 = torch._C._nn.scaled_dot_product_attention(
+            q_9, k_9, v_4, attn_mask=None, dropout_p=0.0
+        )
+        q_9 = k_9 = v_4 = None
+        transpose_20 = x_66.transpose(1, 2)
+        x_66 = None
+        x_67 = transpose_20.reshape(1, 257, 1024)
+        transpose_20 = None
+        x_68 = torch.nn.functional.layer_norm(
+            x_67,
+            (1024,),
+            l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_69 = torch._C._nn.linear(
+            x_68,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_68 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_70 = torch.nn.functional.dropout(x_69, 0.0, False, False)
+        x_69 = None
+        x_71 = x_64 + x_70
+        x_64 = x_70 = None
+        x_72 = torch.nn.functional.layer_norm(
+            x_71,
+            (1024,),
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_4 = torch._C._nn.linear(
+            x_72,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_73 = torch._C._nn.linear(
+            x_72,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_4 = torch.nn.functional.silu(x_gate_4, inplace=False)
+        x_gate_4 = None
+        x_74 = silu_4 * x_73
+        silu_4 = x_73 = None
+        x_75 = torch.nn.functional.dropout(x_74, 0.0, False, False)
+        x_74 = None
+        x_76 = torch.nn.functional.layer_norm(
+            x_75,
+            (2730,),
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_77 = torch._C._nn.linear(
+            x_76,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_78 = torch.nn.functional.dropout(x_77, 0.0, False, False)
+        x_77 = None
+        x_79 = x_71 + x_78
+        x_71 = x_78 = None
+        x_80 = torch.nn.functional.layer_norm(
+            x_79,
+            (1024,),
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        ) = None
+        linear_35 = torch._C._nn.linear(
+            x_80,
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_30 = linear_35.reshape(1, 257, 16, -1)
+        linear_35 = None
+        q_10 = reshape_30.transpose(1, 2)
+        reshape_30 = None
+        linear_36 = torch._C._nn.linear(
+            x_80,
+            l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_31 = linear_36.reshape(1, 257, 16, -1)
+        linear_36 = None
+        k_10 = reshape_31.transpose(1, 2)
+        reshape_31 = None
+        linear_37 = torch._C._nn.linear(
+            x_80,
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_80 = l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_32 = linear_37.reshape(1, 257, 16, -1)
+        linear_37 = None
+        v_5 = reshape_32.transpose(1, 2)
+        reshape_32 = None
+        getitem_64 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_65 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_10 = None
+        tensor_split_10 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_10 = tensor_split_10[0]
+        cos_emb_10 = tensor_split_10[1]
+        tensor_split_10 = None
+        mul_25 = getitem_65 * cos_emb_10
+        cos_emb_10 = None
+        getitem_68 = getitem_65[(Ellipsis, slice(1, None, 2))]
+        neg_10 = -getitem_68
+        getitem_68 = None
+        getitem_69 = getitem_65[(Ellipsis, slice(None, None, 2))]
+        getitem_65 = None
+        stack_10 = torch.stack([neg_10, getitem_69], -1)
+        neg_10 = getitem_69 = None
+        reshape_33 = stack_10.reshape((1, 16, 256, 64))
+        stack_10 = None
+        mul_26 = reshape_33 * sin_emb_10
+        reshape_33 = sin_emb_10 = None
+        add_21 = mul_25 + mul_26
+        mul_25 = mul_26 = None
+        cat_11 = torch.cat([getitem_64, add_21], dim=2)
+        getitem_64 = add_21 = None
+        q_11 = cat_11.type_as(v_5)
+        cat_11 = None
+        getitem_70 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_71 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_10 = None
+        tensor_split_11 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_11 = tensor_split_11[0]
+        cos_emb_11 = tensor_split_11[1]
+        tensor_split_11 = None
+        mul_27 = getitem_71 * cos_emb_11
+        cos_emb_11 = None
+        getitem_74 = getitem_71[(Ellipsis, slice(1, None, 2))]
+        neg_11 = -getitem_74
+        getitem_74 = None
+        getitem_75 = getitem_71[(Ellipsis, slice(None, None, 2))]
+        getitem_71 = None
+        stack_11 = torch.stack([neg_11, getitem_75], -1)
+        neg_11 = getitem_75 = None
+        reshape_34 = stack_11.reshape((1, 16, 256, 64))
+        stack_11 = None
+        mul_28 = reshape_34 * sin_emb_11
+        reshape_34 = sin_emb_11 = None
+        add_22 = mul_27 + mul_28
+        mul_27 = mul_28 = None
+        cat_12 = torch.cat([getitem_70, add_22], dim=2)
+        getitem_70 = add_22 = None
+        k_11 = cat_12.type_as(v_5)
+        cat_12 = None
+        x_81 = torch._C._nn.scaled_dot_product_attention(
+            q_11, k_11, v_5, attn_mask=None, dropout_p=0.0
+        )
+        q_11 = k_11 = v_5 = None
+        transpose_24 = x_81.transpose(1, 2)
+        x_81 = None
+        x_82 = transpose_24.reshape(1, 257, 1024)
+        transpose_24 = None
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (1024,),
+            l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_84 = torch._C._nn.linear(
+            x_83,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_85 = torch.nn.functional.dropout(x_84, 0.0, False, False)
+        x_84 = None
+        x_86 = x_79 + x_85
+        x_79 = x_85 = None
+        x_87 = torch.nn.functional.layer_norm(
+            x_86,
+            (1024,),
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_5 = torch._C._nn.linear(
+            x_87,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_88 = torch._C._nn.linear(
+            x_87,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_5 = torch.nn.functional.silu(x_gate_5, inplace=False)
+        x_gate_5 = None
+        x_89 = silu_5 * x_88
+        silu_5 = x_88 = None
+        x_90 = torch.nn.functional.dropout(x_89, 0.0, False, False)
+        x_89 = None
+        x_91 = torch.nn.functional.layer_norm(
+            x_90,
+            (2730,),
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_90 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_92 = torch._C._nn.linear(
+            x_91,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_93 = torch.nn.functional.dropout(x_92, 0.0, False, False)
+        x_92 = None
+        x_94 = x_86 + x_93
+        x_86 = x_93 = None
+        x_95 = torch.nn.functional.layer_norm(
+            x_94,
+            (1024,),
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        ) = None
+        linear_42 = torch._C._nn.linear(
+            x_95,
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_36 = linear_42.reshape(1, 257, 16, -1)
+        linear_42 = None
+        q_12 = reshape_36.transpose(1, 2)
+        reshape_36 = None
+        linear_43 = torch._C._nn.linear(
+            x_95,
+            l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_37 = linear_43.reshape(1, 257, 16, -1)
+        linear_43 = None
+        k_12 = reshape_37.transpose(1, 2)
+        reshape_37 = None
+        linear_44 = torch._C._nn.linear(
+            x_95,
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_95 = l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_38 = linear_44.reshape(1, 257, 16, -1)
+        linear_44 = None
+        v_6 = reshape_38.transpose(1, 2)
+        reshape_38 = None
+        getitem_76 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_77 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_12 = None
+        tensor_split_12 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_12 = tensor_split_12[0]
+        cos_emb_12 = tensor_split_12[1]
+        tensor_split_12 = None
+        mul_30 = getitem_77 * cos_emb_12
+        cos_emb_12 = None
+        getitem_80 = getitem_77[(Ellipsis, slice(1, None, 2))]
+        neg_12 = -getitem_80
+        getitem_80 = None
+        getitem_81 = getitem_77[(Ellipsis, slice(None, None, 2))]
+        getitem_77 = None
+        stack_12 = torch.stack([neg_12, getitem_81], -1)
+        neg_12 = getitem_81 = None
+        reshape_39 = stack_12.reshape((1, 16, 256, 64))
+        stack_12 = None
+        mul_31 = reshape_39 * sin_emb_12
+        reshape_39 = sin_emb_12 = None
+        add_25 = mul_30 + mul_31
+        mul_30 = mul_31 = None
+        cat_13 = torch.cat([getitem_76, add_25], dim=2)
+        getitem_76 = add_25 = None
+        q_13 = cat_13.type_as(v_6)
+        cat_13 = None
+        getitem_82 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_83 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_12 = None
+        tensor_split_13 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_13 = tensor_split_13[0]
+        cos_emb_13 = tensor_split_13[1]
+        tensor_split_13 = None
+        mul_32 = getitem_83 * cos_emb_13
+        cos_emb_13 = None
+        getitem_86 = getitem_83[(Ellipsis, slice(1, None, 2))]
+        neg_13 = -getitem_86
+        getitem_86 = None
+        getitem_87 = getitem_83[(Ellipsis, slice(None, None, 2))]
+        getitem_83 = None
+        stack_13 = torch.stack([neg_13, getitem_87], -1)
+        neg_13 = getitem_87 = None
+        reshape_40 = stack_13.reshape((1, 16, 256, 64))
+        stack_13 = None
+        mul_33 = reshape_40 * sin_emb_13
+        reshape_40 = sin_emb_13 = None
+        add_26 = mul_32 + mul_33
+        mul_32 = mul_33 = None
+        cat_14 = torch.cat([getitem_82, add_26], dim=2)
+        getitem_82 = add_26 = None
+        k_13 = cat_14.type_as(v_6)
+        cat_14 = None
+        x_96 = torch._C._nn.scaled_dot_product_attention(
+            q_13, k_13, v_6, attn_mask=None, dropout_p=0.0
+        )
+        q_13 = k_13 = v_6 = None
+        transpose_28 = x_96.transpose(1, 2)
+        x_96 = None
+        x_97 = transpose_28.reshape(1, 257, 1024)
+        transpose_28 = None
+        x_98 = torch.nn.functional.layer_norm(
+            x_97,
+            (1024,),
+            l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_99 = torch._C._nn.linear(
+            x_98,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_100 = torch.nn.functional.dropout(x_99, 0.0, False, False)
+        x_99 = None
+        x_101 = x_94 + x_100
+        x_94 = x_100 = None
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (1024,),
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_6 = torch._C._nn.linear(
+            x_102,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_103 = torch._C._nn.linear(
+            x_102,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_6 = torch.nn.functional.silu(x_gate_6, inplace=False)
+        x_gate_6 = None
+        x_104 = silu_6 * x_103
+        silu_6 = x_103 = None
+        x_105 = torch.nn.functional.dropout(x_104, 0.0, False, False)
+        x_104 = None
+        x_106 = torch.nn.functional.layer_norm(
+            x_105,
+            (2730,),
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_107 = torch._C._nn.linear(
+            x_106,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.dropout(x_107, 0.0, False, False)
+        x_107 = None
+        x_109 = x_101 + x_108
+        x_101 = x_108 = None
+        x_110 = torch.nn.functional.layer_norm(
+            x_109,
+            (1024,),
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        ) = None
+        linear_49 = torch._C._nn.linear(
+            x_110,
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_42 = linear_49.reshape(1, 257, 16, -1)
+        linear_49 = None
+        q_14 = reshape_42.transpose(1, 2)
+        reshape_42 = None
+        linear_50 = torch._C._nn.linear(
+            x_110,
+            l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_43 = linear_50.reshape(1, 257, 16, -1)
+        linear_50 = None
+        k_14 = reshape_43.transpose(1, 2)
+        reshape_43 = None
+        linear_51 = torch._C._nn.linear(
+            x_110,
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_110 = l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_44 = linear_51.reshape(1, 257, 16, -1)
+        linear_51 = None
+        v_7 = reshape_44.transpose(1, 2)
+        reshape_44 = None
+        getitem_88 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_89 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_14 = None
+        tensor_split_14 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_14 = tensor_split_14[0]
+        cos_emb_14 = tensor_split_14[1]
+        tensor_split_14 = None
+        mul_35 = getitem_89 * cos_emb_14
+        cos_emb_14 = None
+        getitem_92 = getitem_89[(Ellipsis, slice(1, None, 2))]
+        neg_14 = -getitem_92
+        getitem_92 = None
+        getitem_93 = getitem_89[(Ellipsis, slice(None, None, 2))]
+        getitem_89 = None
+        stack_14 = torch.stack([neg_14, getitem_93], -1)
+        neg_14 = getitem_93 = None
+        reshape_45 = stack_14.reshape((1, 16, 256, 64))
+        stack_14 = None
+        mul_36 = reshape_45 * sin_emb_14
+        reshape_45 = sin_emb_14 = None
+        add_29 = mul_35 + mul_36
+        mul_35 = mul_36 = None
+        cat_15 = torch.cat([getitem_88, add_29], dim=2)
+        getitem_88 = add_29 = None
+        q_15 = cat_15.type_as(v_7)
+        cat_15 = None
+        getitem_94 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_95 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_14 = None
+        tensor_split_15 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_15 = tensor_split_15[0]
+        cos_emb_15 = tensor_split_15[1]
+        tensor_split_15 = None
+        mul_37 = getitem_95 * cos_emb_15
+        cos_emb_15 = None
+        getitem_98 = getitem_95[(Ellipsis, slice(1, None, 2))]
+        neg_15 = -getitem_98
+        getitem_98 = None
+        getitem_99 = getitem_95[(Ellipsis, slice(None, None, 2))]
+        getitem_95 = None
+        stack_15 = torch.stack([neg_15, getitem_99], -1)
+        neg_15 = getitem_99 = None
+        reshape_46 = stack_15.reshape((1, 16, 256, 64))
+        stack_15 = None
+        mul_38 = reshape_46 * sin_emb_15
+        reshape_46 = sin_emb_15 = None
+        add_30 = mul_37 + mul_38
+        mul_37 = mul_38 = None
+        cat_16 = torch.cat([getitem_94, add_30], dim=2)
+        getitem_94 = add_30 = None
+        k_15 = cat_16.type_as(v_7)
+        cat_16 = None
+        x_111 = torch._C._nn.scaled_dot_product_attention(
+            q_15, k_15, v_7, attn_mask=None, dropout_p=0.0
+        )
+        q_15 = k_15 = v_7 = None
+        transpose_32 = x_111.transpose(1, 2)
+        x_111 = None
+        x_112 = transpose_32.reshape(1, 257, 1024)
+        transpose_32 = None
+        x_113 = torch.nn.functional.layer_norm(
+            x_112,
+            (1024,),
+            l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_114 = torch._C._nn.linear(
+            x_113,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_115 = torch.nn.functional.dropout(x_114, 0.0, False, False)
+        x_114 = None
+        x_116 = x_109 + x_115
+        x_109 = x_115 = None
+        x_117 = torch.nn.functional.layer_norm(
+            x_116,
+            (1024,),
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_7 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_118 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_117 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_7 = torch.nn.functional.silu(x_gate_7, inplace=False)
+        x_gate_7 = None
+        x_119 = silu_7 * x_118
+        silu_7 = x_118 = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = torch.nn.functional.layer_norm(
+            x_120,
+            (2730,),
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_120 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_122 = torch._C._nn.linear(
+            x_121,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_123 = torch.nn.functional.dropout(x_122, 0.0, False, False)
+        x_122 = None
+        x_124 = x_116 + x_123
+        x_116 = x_123 = None
+        x_125 = torch.nn.functional.layer_norm(
+            x_124,
+            (1024,),
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        ) = None
+        linear_56 = torch._C._nn.linear(
+            x_125,
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_48 = linear_56.reshape(1, 257, 16, -1)
+        linear_56 = None
+        q_16 = reshape_48.transpose(1, 2)
+        reshape_48 = None
+        linear_57 = torch._C._nn.linear(
+            x_125,
+            l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_49 = linear_57.reshape(1, 257, 16, -1)
+        linear_57 = None
+        k_16 = reshape_49.transpose(1, 2)
+        reshape_49 = None
+        linear_58 = torch._C._nn.linear(
+            x_125,
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_125 = l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_50 = linear_58.reshape(1, 257, 16, -1)
+        linear_58 = None
+        v_8 = reshape_50.transpose(1, 2)
+        reshape_50 = None
+        getitem_100 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_101 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_16 = None
+        tensor_split_16 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_16 = tensor_split_16[0]
+        cos_emb_16 = tensor_split_16[1]
+        tensor_split_16 = None
+        mul_40 = getitem_101 * cos_emb_16
+        cos_emb_16 = None
+        getitem_104 = getitem_101[(Ellipsis, slice(1, None, 2))]
+        neg_16 = -getitem_104
+        getitem_104 = None
+        getitem_105 = getitem_101[(Ellipsis, slice(None, None, 2))]
+        getitem_101 = None
+        stack_16 = torch.stack([neg_16, getitem_105], -1)
+        neg_16 = getitem_105 = None
+        reshape_51 = stack_16.reshape((1, 16, 256, 64))
+        stack_16 = None
+        mul_41 = reshape_51 * sin_emb_16
+        reshape_51 = sin_emb_16 = None
+        add_33 = mul_40 + mul_41
+        mul_40 = mul_41 = None
+        cat_17 = torch.cat([getitem_100, add_33], dim=2)
+        getitem_100 = add_33 = None
+        q_17 = cat_17.type_as(v_8)
+        cat_17 = None
+        getitem_106 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_107 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_16 = None
+        tensor_split_17 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_17 = tensor_split_17[0]
+        cos_emb_17 = tensor_split_17[1]
+        tensor_split_17 = None
+        mul_42 = getitem_107 * cos_emb_17
+        cos_emb_17 = None
+        getitem_110 = getitem_107[(Ellipsis, slice(1, None, 2))]
+        neg_17 = -getitem_110
+        getitem_110 = None
+        getitem_111 = getitem_107[(Ellipsis, slice(None, None, 2))]
+        getitem_107 = None
+        stack_17 = torch.stack([neg_17, getitem_111], -1)
+        neg_17 = getitem_111 = None
+        reshape_52 = stack_17.reshape((1, 16, 256, 64))
+        stack_17 = None
+        mul_43 = reshape_52 * sin_emb_17
+        reshape_52 = sin_emb_17 = None
+        add_34 = mul_42 + mul_43
+        mul_42 = mul_43 = None
+        cat_18 = torch.cat([getitem_106, add_34], dim=2)
+        getitem_106 = add_34 = None
+        k_17 = cat_18.type_as(v_8)
+        cat_18 = None
+        x_126 = torch._C._nn.scaled_dot_product_attention(
+            q_17, k_17, v_8, attn_mask=None, dropout_p=0.0
+        )
+        q_17 = k_17 = v_8 = None
+        transpose_36 = x_126.transpose(1, 2)
+        x_126 = None
+        x_127 = transpose_36.reshape(1, 257, 1024)
+        transpose_36 = None
+        x_128 = torch.nn.functional.layer_norm(
+            x_127,
+            (1024,),
+            l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_129 = torch._C._nn.linear(
+            x_128,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_130 = torch.nn.functional.dropout(x_129, 0.0, False, False)
+        x_129 = None
+        x_131 = x_124 + x_130
+        x_124 = x_130 = None
+        x_132 = torch.nn.functional.layer_norm(
+            x_131,
+            (1024,),
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_8 = torch._C._nn.linear(
+            x_132,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_133 = torch._C._nn.linear(
+            x_132,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_8 = torch.nn.functional.silu(x_gate_8, inplace=False)
+        x_gate_8 = None
+        x_134 = silu_8 * x_133
+        silu_8 = x_133 = None
+        x_135 = torch.nn.functional.dropout(x_134, 0.0, False, False)
+        x_134 = None
+        x_136 = torch.nn.functional.layer_norm(
+            x_135,
+            (2730,),
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_137 = torch._C._nn.linear(
+            x_136,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_138 = torch.nn.functional.dropout(x_137, 0.0, False, False)
+        x_137 = None
+        x_139 = x_131 + x_138
+        x_131 = x_138 = None
+        x_140 = torch.nn.functional.layer_norm(
+            x_139,
+            (1024,),
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        ) = None
+        linear_63 = torch._C._nn.linear(
+            x_140,
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_
+        ) = None
+        reshape_54 = linear_63.reshape(1, 257, 16, -1)
+        linear_63 = None
+        q_18 = reshape_54.transpose(1, 2)
+        reshape_54 = None
+        linear_64 = torch._C._nn.linear(
+            x_140,
+            l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_55 = linear_64.reshape(1, 257, 16, -1)
+        linear_64 = None
+        k_18 = reshape_55.transpose(1, 2)
+        reshape_55 = None
+        linear_65 = torch._C._nn.linear(
+            x_140,
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_140 = l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_
+        ) = None
+        reshape_56 = linear_65.reshape(1, 257, 16, -1)
+        linear_65 = None
+        v_9 = reshape_56.transpose(1, 2)
+        reshape_56 = None
+        getitem_112 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_113 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_18 = None
+        tensor_split_18 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_18 = tensor_split_18[0]
+        cos_emb_18 = tensor_split_18[1]
+        tensor_split_18 = None
+        mul_45 = getitem_113 * cos_emb_18
+        cos_emb_18 = None
+        getitem_116 = getitem_113[(Ellipsis, slice(1, None, 2))]
+        neg_18 = -getitem_116
+        getitem_116 = None
+        getitem_117 = getitem_113[(Ellipsis, slice(None, None, 2))]
+        getitem_113 = None
+        stack_18 = torch.stack([neg_18, getitem_117], -1)
+        neg_18 = getitem_117 = None
+        reshape_57 = stack_18.reshape((1, 16, 256, 64))
+        stack_18 = None
+        mul_46 = reshape_57 * sin_emb_18
+        reshape_57 = sin_emb_18 = None
+        add_37 = mul_45 + mul_46
+        mul_45 = mul_46 = None
+        cat_19 = torch.cat([getitem_112, add_37], dim=2)
+        getitem_112 = add_37 = None
+        q_19 = cat_19.type_as(v_9)
+        cat_19 = None
+        getitem_118 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_119 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_18 = None
+        tensor_split_19 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_19 = tensor_split_19[0]
+        cos_emb_19 = tensor_split_19[1]
+        tensor_split_19 = None
+        mul_47 = getitem_119 * cos_emb_19
+        cos_emb_19 = None
+        getitem_122 = getitem_119[(Ellipsis, slice(1, None, 2))]
+        neg_19 = -getitem_122
+        getitem_122 = None
+        getitem_123 = getitem_119[(Ellipsis, slice(None, None, 2))]
+        getitem_119 = None
+        stack_19 = torch.stack([neg_19, getitem_123], -1)
+        neg_19 = getitem_123 = None
+        reshape_58 = stack_19.reshape((1, 16, 256, 64))
+        stack_19 = None
+        mul_48 = reshape_58 * sin_emb_19
+        reshape_58 = sin_emb_19 = None
+        add_38 = mul_47 + mul_48
+        mul_47 = mul_48 = None
+        cat_20 = torch.cat([getitem_118, add_38], dim=2)
+        getitem_118 = add_38 = None
+        k_19 = cat_20.type_as(v_9)
+        cat_20 = None
+        x_141 = torch._C._nn.scaled_dot_product_attention(
+            q_19, k_19, v_9, attn_mask=None, dropout_p=0.0
+        )
+        q_19 = k_19 = v_9 = None
+        transpose_40 = x_141.transpose(1, 2)
+        x_141 = None
+        x_142 = transpose_40.reshape(1, 257, 1024)
+        transpose_40 = None
+        x_143 = torch.nn.functional.layer_norm(
+            x_142,
+            (1024,),
+            l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_144 = torch._C._nn.linear(
+            x_143,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.dropout(x_144, 0.0, False, False)
+        x_144 = None
+        x_146 = x_139 + x_145
+        x_139 = x_145 = None
+        x_147 = torch.nn.functional.layer_norm(
+            x_146,
+            (1024,),
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_9 = torch._C._nn.linear(
+            x_147,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_148 = torch._C._nn.linear(
+            x_147,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_147 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_9 = torch.nn.functional.silu(x_gate_9, inplace=False)
+        x_gate_9 = None
+        x_149 = silu_9 * x_148
+        silu_9 = x_148 = None
+        x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False)
+        x_149 = None
+        x_151 = torch.nn.functional.layer_norm(
+            x_150,
+            (2730,),
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_152 = torch._C._nn.linear(
+            x_151,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_151 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_153 = torch.nn.functional.dropout(x_152, 0.0, False, False)
+        x_152 = None
+        x_154 = x_146 + x_153
+        x_146 = x_153 = None
+        x_155 = torch.nn.functional.layer_norm(
+            x_154,
+            (1024,),
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        ) = None
+        linear_70 = torch._C._nn.linear(
+            x_155,
+            l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_60 = linear_70.reshape(1, 257, 16, -1)
+        linear_70 = None
+        q_20 = reshape_60.transpose(1, 2)
+        reshape_60 = None
+        linear_71 = torch._C._nn.linear(
+            x_155,
+            l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_61 = linear_71.reshape(1, 257, 16, -1)
+        linear_71 = None
+        k_20 = reshape_61.transpose(1, 2)
+        reshape_61 = None
+        linear_72 = torch._C._nn.linear(
+            x_155,
+            l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_155 = l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_62 = linear_72.reshape(1, 257, 16, -1)
+        linear_72 = None
+        v_10 = reshape_62.transpose(1, 2)
+        reshape_62 = None
+        getitem_124 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_125 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_20 = None
+        tensor_split_20 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_20 = tensor_split_20[0]
+        cos_emb_20 = tensor_split_20[1]
+        tensor_split_20 = None
+        mul_50 = getitem_125 * cos_emb_20
+        cos_emb_20 = None
+        getitem_128 = getitem_125[(Ellipsis, slice(1, None, 2))]
+        neg_20 = -getitem_128
+        getitem_128 = None
+        getitem_129 = getitem_125[(Ellipsis, slice(None, None, 2))]
+        getitem_125 = None
+        stack_20 = torch.stack([neg_20, getitem_129], -1)
+        neg_20 = getitem_129 = None
+        reshape_63 = stack_20.reshape((1, 16, 256, 64))
+        stack_20 = None
+        mul_51 = reshape_63 * sin_emb_20
+        reshape_63 = sin_emb_20 = None
+        add_41 = mul_50 + mul_51
+        mul_50 = mul_51 = None
+        cat_21 = torch.cat([getitem_124, add_41], dim=2)
+        getitem_124 = add_41 = None
+        q_21 = cat_21.type_as(v_10)
+        cat_21 = None
+        getitem_130 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_131 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_20 = None
+        tensor_split_21 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_21 = tensor_split_21[0]
+        cos_emb_21 = tensor_split_21[1]
+        tensor_split_21 = None
+        mul_52 = getitem_131 * cos_emb_21
+        cos_emb_21 = None
+        getitem_134 = getitem_131[(Ellipsis, slice(1, None, 2))]
+        neg_21 = -getitem_134
+        getitem_134 = None
+        getitem_135 = getitem_131[(Ellipsis, slice(None, None, 2))]
+        getitem_131 = None
+        stack_21 = torch.stack([neg_21, getitem_135], -1)
+        neg_21 = getitem_135 = None
+        reshape_64 = stack_21.reshape((1, 16, 256, 64))
+        stack_21 = None
+        mul_53 = reshape_64 * sin_emb_21
+        reshape_64 = sin_emb_21 = None
+        add_42 = mul_52 + mul_53
+        mul_52 = mul_53 = None
+        cat_22 = torch.cat([getitem_130, add_42], dim=2)
+        getitem_130 = add_42 = None
+        k_21 = cat_22.type_as(v_10)
+        cat_22 = None
+        x_156 = torch._C._nn.scaled_dot_product_attention(
+            q_21, k_21, v_10, attn_mask=None, dropout_p=0.0
+        )
+        q_21 = k_21 = v_10 = None
+        transpose_44 = x_156.transpose(1, 2)
+        x_156 = None
+        x_157 = transpose_44.reshape(1, 257, 1024)
+        transpose_44 = None
+        x_158 = torch.nn.functional.layer_norm(
+            x_157,
+            (1024,),
+            l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_157 = l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_159 = torch._C._nn.linear(
+            x_158,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_158 = l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_160 = torch.nn.functional.dropout(x_159, 0.0, False, False)
+        x_159 = None
+        x_161 = x_154 + x_160
+        x_154 = x_160 = None
+        x_162 = torch.nn.functional.layer_norm(
+            x_161,
+            (1024,),
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_10 = torch._C._nn.linear(
+            x_162,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_163 = torch._C._nn.linear(
+            x_162,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_162 = l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_10 = torch.nn.functional.silu(x_gate_10, inplace=False)
+        x_gate_10 = None
+        x_164 = silu_10 * x_163
+        silu_10 = x_163 = None
+        x_165 = torch.nn.functional.dropout(x_164, 0.0, False, False)
+        x_164 = None
+        x_166 = torch.nn.functional.layer_norm(
+            x_165,
+            (2730,),
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_165 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_167 = torch._C._nn.linear(
+            x_166,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_166 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_168 = torch.nn.functional.dropout(x_167, 0.0, False, False)
+        x_167 = None
+        x_169 = x_161 + x_168
+        x_161 = x_168 = None
+        x_170 = torch.nn.functional.layer_norm(
+            x_169,
+            (1024,),
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        ) = None
+        linear_77 = torch._C._nn.linear(
+            x_170,
+            l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_66 = linear_77.reshape(1, 257, 16, -1)
+        linear_77 = None
+        q_22 = reshape_66.transpose(1, 2)
+        reshape_66 = None
+        linear_78 = torch._C._nn.linear(
+            x_170,
+            l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_67 = linear_78.reshape(1, 257, 16, -1)
+        linear_78 = None
+        k_22 = reshape_67.transpose(1, 2)
+        reshape_67 = None
+        linear_79 = torch._C._nn.linear(
+            x_170,
+            l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_170 = l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_68 = linear_79.reshape(1, 257, 16, -1)
+        linear_79 = None
+        v_11 = reshape_68.transpose(1, 2)
+        reshape_68 = None
+        getitem_136 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_137 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_22 = None
+        tensor_split_22 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_22 = tensor_split_22[0]
+        cos_emb_22 = tensor_split_22[1]
+        tensor_split_22 = None
+        mul_55 = getitem_137 * cos_emb_22
+        cos_emb_22 = None
+        getitem_140 = getitem_137[(Ellipsis, slice(1, None, 2))]
+        neg_22 = -getitem_140
+        getitem_140 = None
+        getitem_141 = getitem_137[(Ellipsis, slice(None, None, 2))]
+        getitem_137 = None
+        stack_22 = torch.stack([neg_22, getitem_141], -1)
+        neg_22 = getitem_141 = None
+        reshape_69 = stack_22.reshape((1, 16, 256, 64))
+        stack_22 = None
+        mul_56 = reshape_69 * sin_emb_22
+        reshape_69 = sin_emb_22 = None
+        add_45 = mul_55 + mul_56
+        mul_55 = mul_56 = None
+        cat_23 = torch.cat([getitem_136, add_45], dim=2)
+        getitem_136 = add_45 = None
+        q_23 = cat_23.type_as(v_11)
+        cat_23 = None
+        getitem_142 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_143 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_22 = None
+        tensor_split_23 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_23 = tensor_split_23[0]
+        cos_emb_23 = tensor_split_23[1]
+        tensor_split_23 = None
+        mul_57 = getitem_143 * cos_emb_23
+        cos_emb_23 = None
+        getitem_146 = getitem_143[(Ellipsis, slice(1, None, 2))]
+        neg_23 = -getitem_146
+        getitem_146 = None
+        getitem_147 = getitem_143[(Ellipsis, slice(None, None, 2))]
+        getitem_143 = None
+        stack_23 = torch.stack([neg_23, getitem_147], -1)
+        neg_23 = getitem_147 = None
+        reshape_70 = stack_23.reshape((1, 16, 256, 64))
+        stack_23 = None
+        mul_58 = reshape_70 * sin_emb_23
+        reshape_70 = sin_emb_23 = None
+        add_46 = mul_57 + mul_58
+        mul_57 = mul_58 = None
+        cat_24 = torch.cat([getitem_142, add_46], dim=2)
+        getitem_142 = add_46 = None
+        k_23 = cat_24.type_as(v_11)
+        cat_24 = None
+        x_171 = torch._C._nn.scaled_dot_product_attention(
+            q_23, k_23, v_11, attn_mask=None, dropout_p=0.0
+        )
+        q_23 = k_23 = v_11 = None
+        transpose_48 = x_171.transpose(1, 2)
+        x_171 = None
+        x_172 = transpose_48.reshape(1, 257, 1024)
+        transpose_48 = None
+        x_173 = torch.nn.functional.layer_norm(
+            x_172,
+            (1024,),
+            l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_172 = l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_174 = torch._C._nn.linear(
+            x_173,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_173 = l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_175 = torch.nn.functional.dropout(x_174, 0.0, False, False)
+        x_174 = None
+        x_176 = x_169 + x_175
+        x_169 = x_175 = None
+        x_177 = torch.nn.functional.layer_norm(
+            x_176,
+            (1024,),
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_11 = torch._C._nn.linear(
+            x_177,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_178 = torch._C._nn.linear(
+            x_177,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_177 = l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_11 = torch.nn.functional.silu(x_gate_11, inplace=False)
+        x_gate_11 = None
+        x_179 = silu_11 * x_178
+        silu_11 = x_178 = None
+        x_180 = torch.nn.functional.dropout(x_179, 0.0, False, False)
+        x_179 = None
+        x_181 = torch.nn.functional.layer_norm(
+            x_180,
+            (2730,),
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_180 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_182 = torch._C._nn.linear(
+            x_181,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_181 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_183 = torch.nn.functional.dropout(x_182, 0.0, False, False)
+        x_182 = None
+        x_184 = x_176 + x_183
+        x_176 = x_183 = None
+        x_185 = torch.nn.functional.layer_norm(
+            x_184,
+            (1024,),
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        ) = None
+        linear_84 = torch._C._nn.linear(
+            x_185,
+            l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_72 = linear_84.reshape(1, 257, 16, -1)
+        linear_84 = None
+        q_24 = reshape_72.transpose(1, 2)
+        reshape_72 = None
+        linear_85 = torch._C._nn.linear(
+            x_185,
+            l_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_73 = linear_85.reshape(1, 257, 16, -1)
+        linear_85 = None
+        k_24 = reshape_73.transpose(1, 2)
+        reshape_73 = None
+        linear_86 = torch._C._nn.linear(
+            x_185,
+            l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_185 = l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_74 = linear_86.reshape(1, 257, 16, -1)
+        linear_86 = None
+        v_12 = reshape_74.transpose(1, 2)
+        reshape_74 = None
+        getitem_148 = q_24[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_149 = q_24[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_24 = None
+        tensor_split_24 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_24 = tensor_split_24[0]
+        cos_emb_24 = tensor_split_24[1]
+        tensor_split_24 = None
+        mul_60 = getitem_149 * cos_emb_24
+        cos_emb_24 = None
+        getitem_152 = getitem_149[(Ellipsis, slice(1, None, 2))]
+        neg_24 = -getitem_152
+        getitem_152 = None
+        getitem_153 = getitem_149[(Ellipsis, slice(None, None, 2))]
+        getitem_149 = None
+        stack_24 = torch.stack([neg_24, getitem_153], -1)
+        neg_24 = getitem_153 = None
+        reshape_75 = stack_24.reshape((1, 16, 256, 64))
+        stack_24 = None
+        mul_61 = reshape_75 * sin_emb_24
+        reshape_75 = sin_emb_24 = None
+        add_49 = mul_60 + mul_61
+        mul_60 = mul_61 = None
+        cat_25 = torch.cat([getitem_148, add_49], dim=2)
+        getitem_148 = add_49 = None
+        q_25 = cat_25.type_as(v_12)
+        cat_25 = None
+        getitem_154 = k_24[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_155 = k_24[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_24 = None
+        tensor_split_25 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_25 = tensor_split_25[0]
+        cos_emb_25 = tensor_split_25[1]
+        tensor_split_25 = None
+        mul_62 = getitem_155 * cos_emb_25
+        cos_emb_25 = None
+        getitem_158 = getitem_155[(Ellipsis, slice(1, None, 2))]
+        neg_25 = -getitem_158
+        getitem_158 = None
+        getitem_159 = getitem_155[(Ellipsis, slice(None, None, 2))]
+        getitem_155 = None
+        stack_25 = torch.stack([neg_25, getitem_159], -1)
+        neg_25 = getitem_159 = None
+        reshape_76 = stack_25.reshape((1, 16, 256, 64))
+        stack_25 = None
+        mul_63 = reshape_76 * sin_emb_25
+        reshape_76 = sin_emb_25 = None
+        add_50 = mul_62 + mul_63
+        mul_62 = mul_63 = None
+        cat_26 = torch.cat([getitem_154, add_50], dim=2)
+        getitem_154 = add_50 = None
+        k_25 = cat_26.type_as(v_12)
+        cat_26 = None
+        x_186 = torch._C._nn.scaled_dot_product_attention(
+            q_25, k_25, v_12, attn_mask=None, dropout_p=0.0
+        )
+        q_25 = k_25 = v_12 = None
+        transpose_52 = x_186.transpose(1, 2)
+        x_186 = None
+        x_187 = transpose_52.reshape(1, 257, 1024)
+        transpose_52 = None
+        x_188 = torch.nn.functional.layer_norm(
+            x_187,
+            (1024,),
+            l_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_187 = l_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_189 = torch._C._nn.linear(
+            x_188,
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_188 = l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_190 = torch.nn.functional.dropout(x_189, 0.0, False, False)
+        x_189 = None
+        x_191 = x_184 + x_190
+        x_184 = x_190 = None
+        x_192 = torch.nn.functional.layer_norm(
+            x_191,
+            (1024,),
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_12 = torch._C._nn.linear(
+            x_192,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_193 = torch._C._nn.linear(
+            x_192,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_192 = l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_12 = torch.nn.functional.silu(x_gate_12, inplace=False)
+        x_gate_12 = None
+        x_194 = silu_12 * x_193
+        silu_12 = x_193 = None
+        x_195 = torch.nn.functional.dropout(x_194, 0.0, False, False)
+        x_194 = None
+        x_196 = torch.nn.functional.layer_norm(
+            x_195,
+            (2730,),
+            l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_195 = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_197 = torch._C._nn.linear(
+            x_196,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_196 = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_198 = torch.nn.functional.dropout(x_197, 0.0, False, False)
+        x_197 = None
+        x_199 = x_191 + x_198
+        x_191 = x_198 = None
+        x_200 = torch.nn.functional.layer_norm(
+            x_199,
+            (1024,),
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        ) = None
+        linear_91 = torch._C._nn.linear(
+            x_200,
+            l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_78 = linear_91.reshape(1, 257, 16, -1)
+        linear_91 = None
+        q_26 = reshape_78.transpose(1, 2)
+        reshape_78 = None
+        linear_92 = torch._C._nn.linear(
+            x_200,
+            l_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_79 = linear_92.reshape(1, 257, 16, -1)
+        linear_92 = None
+        k_26 = reshape_79.transpose(1, 2)
+        reshape_79 = None
+        linear_93 = torch._C._nn.linear(
+            x_200,
+            l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_200 = l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_80 = linear_93.reshape(1, 257, 16, -1)
+        linear_93 = None
+        v_13 = reshape_80.transpose(1, 2)
+        reshape_80 = None
+        getitem_160 = q_26[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_161 = q_26[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_26 = None
+        tensor_split_26 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_26 = tensor_split_26[0]
+        cos_emb_26 = tensor_split_26[1]
+        tensor_split_26 = None
+        mul_65 = getitem_161 * cos_emb_26
+        cos_emb_26 = None
+        getitem_164 = getitem_161[(Ellipsis, slice(1, None, 2))]
+        neg_26 = -getitem_164
+        getitem_164 = None
+        getitem_165 = getitem_161[(Ellipsis, slice(None, None, 2))]
+        getitem_161 = None
+        stack_26 = torch.stack([neg_26, getitem_165], -1)
+        neg_26 = getitem_165 = None
+        reshape_81 = stack_26.reshape((1, 16, 256, 64))
+        stack_26 = None
+        mul_66 = reshape_81 * sin_emb_26
+        reshape_81 = sin_emb_26 = None
+        add_53 = mul_65 + mul_66
+        mul_65 = mul_66 = None
+        cat_27 = torch.cat([getitem_160, add_53], dim=2)
+        getitem_160 = add_53 = None
+        q_27 = cat_27.type_as(v_13)
+        cat_27 = None
+        getitem_166 = k_26[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_167 = k_26[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_26 = None
+        tensor_split_27 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_27 = tensor_split_27[0]
+        cos_emb_27 = tensor_split_27[1]
+        tensor_split_27 = None
+        mul_67 = getitem_167 * cos_emb_27
+        cos_emb_27 = None
+        getitem_170 = getitem_167[(Ellipsis, slice(1, None, 2))]
+        neg_27 = -getitem_170
+        getitem_170 = None
+        getitem_171 = getitem_167[(Ellipsis, slice(None, None, 2))]
+        getitem_167 = None
+        stack_27 = torch.stack([neg_27, getitem_171], -1)
+        neg_27 = getitem_171 = None
+        reshape_82 = stack_27.reshape((1, 16, 256, 64))
+        stack_27 = None
+        mul_68 = reshape_82 * sin_emb_27
+        reshape_82 = sin_emb_27 = None
+        add_54 = mul_67 + mul_68
+        mul_67 = mul_68 = None
+        cat_28 = torch.cat([getitem_166, add_54], dim=2)
+        getitem_166 = add_54 = None
+        k_27 = cat_28.type_as(v_13)
+        cat_28 = None
+        x_201 = torch._C._nn.scaled_dot_product_attention(
+            q_27, k_27, v_13, attn_mask=None, dropout_p=0.0
+        )
+        q_27 = k_27 = v_13 = None
+        transpose_56 = x_201.transpose(1, 2)
+        x_201 = None
+        x_202 = transpose_56.reshape(1, 257, 1024)
+        transpose_56 = None
+        x_203 = torch.nn.functional.layer_norm(
+            x_202,
+            (1024,),
+            l_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_202 = l_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_204 = torch._C._nn.linear(
+            x_203,
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_203 = l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_205 = torch.nn.functional.dropout(x_204, 0.0, False, False)
+        x_204 = None
+        x_206 = x_199 + x_205
+        x_199 = x_205 = None
+        x_207 = torch.nn.functional.layer_norm(
+            x_206,
+            (1024,),
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_13 = torch._C._nn.linear(
+            x_207,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_208 = torch._C._nn.linear(
+            x_207,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_207 = l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_13 = torch.nn.functional.silu(x_gate_13, inplace=False)
+        x_gate_13 = None
+        x_209 = silu_13 * x_208
+        silu_13 = x_208 = None
+        x_210 = torch.nn.functional.dropout(x_209, 0.0, False, False)
+        x_209 = None
+        x_211 = torch.nn.functional.layer_norm(
+            x_210,
+            (2730,),
+            l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_210 = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_212 = torch._C._nn.linear(
+            x_211,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_211 = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_213 = torch.nn.functional.dropout(x_212, 0.0, False, False)
+        x_212 = None
+        x_214 = x_206 + x_213
+        x_206 = x_213 = None
+        x_215 = torch.nn.functional.layer_norm(
+            x_214,
+            (1024,),
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        ) = None
+        linear_98 = torch._C._nn.linear(
+            x_215,
+            l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_84 = linear_98.reshape(1, 257, 16, -1)
+        linear_98 = None
+        q_28 = reshape_84.transpose(1, 2)
+        reshape_84 = None
+        linear_99 = torch._C._nn.linear(
+            x_215,
+            l_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_85 = linear_99.reshape(1, 257, 16, -1)
+        linear_99 = None
+        k_28 = reshape_85.transpose(1, 2)
+        reshape_85 = None
+        linear_100 = torch._C._nn.linear(
+            x_215,
+            l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_215 = l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_86 = linear_100.reshape(1, 257, 16, -1)
+        linear_100 = None
+        v_14 = reshape_86.transpose(1, 2)
+        reshape_86 = None
+        getitem_172 = q_28[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_173 = q_28[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_28 = None
+        tensor_split_28 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_28 = tensor_split_28[0]
+        cos_emb_28 = tensor_split_28[1]
+        tensor_split_28 = None
+        mul_70 = getitem_173 * cos_emb_28
+        cos_emb_28 = None
+        getitem_176 = getitem_173[(Ellipsis, slice(1, None, 2))]
+        neg_28 = -getitem_176
+        getitem_176 = None
+        getitem_177 = getitem_173[(Ellipsis, slice(None, None, 2))]
+        getitem_173 = None
+        stack_28 = torch.stack([neg_28, getitem_177], -1)
+        neg_28 = getitem_177 = None
+        reshape_87 = stack_28.reshape((1, 16, 256, 64))
+        stack_28 = None
+        mul_71 = reshape_87 * sin_emb_28
+        reshape_87 = sin_emb_28 = None
+        add_57 = mul_70 + mul_71
+        mul_70 = mul_71 = None
+        cat_29 = torch.cat([getitem_172, add_57], dim=2)
+        getitem_172 = add_57 = None
+        q_29 = cat_29.type_as(v_14)
+        cat_29 = None
+        getitem_178 = k_28[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_179 = k_28[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_28 = None
+        tensor_split_29 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_29 = tensor_split_29[0]
+        cos_emb_29 = tensor_split_29[1]
+        tensor_split_29 = None
+        mul_72 = getitem_179 * cos_emb_29
+        cos_emb_29 = None
+        getitem_182 = getitem_179[(Ellipsis, slice(1, None, 2))]
+        neg_29 = -getitem_182
+        getitem_182 = None
+        getitem_183 = getitem_179[(Ellipsis, slice(None, None, 2))]
+        getitem_179 = None
+        stack_29 = torch.stack([neg_29, getitem_183], -1)
+        neg_29 = getitem_183 = None
+        reshape_88 = stack_29.reshape((1, 16, 256, 64))
+        stack_29 = None
+        mul_73 = reshape_88 * sin_emb_29
+        reshape_88 = sin_emb_29 = None
+        add_58 = mul_72 + mul_73
+        mul_72 = mul_73 = None
+        cat_30 = torch.cat([getitem_178, add_58], dim=2)
+        getitem_178 = add_58 = None
+        k_29 = cat_30.type_as(v_14)
+        cat_30 = None
+        x_216 = torch._C._nn.scaled_dot_product_attention(
+            q_29, k_29, v_14, attn_mask=None, dropout_p=0.0
+        )
+        q_29 = k_29 = v_14 = None
+        transpose_60 = x_216.transpose(1, 2)
+        x_216 = None
+        x_217 = transpose_60.reshape(1, 257, 1024)
+        transpose_60 = None
+        x_218 = torch.nn.functional.layer_norm(
+            x_217,
+            (1024,),
+            l_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_217 = l_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_219 = torch._C._nn.linear(
+            x_218,
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_218 = l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_220 = torch.nn.functional.dropout(x_219, 0.0, False, False)
+        x_219 = None
+        x_221 = x_214 + x_220
+        x_214 = x_220 = None
+        x_222 = torch.nn.functional.layer_norm(
+            x_221,
+            (1024,),
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_14 = torch._C._nn.linear(
+            x_222,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_223 = torch._C._nn.linear(
+            x_222,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_222 = l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_14 = torch.nn.functional.silu(x_gate_14, inplace=False)
+        x_gate_14 = None
+        x_224 = silu_14 * x_223
+        silu_14 = x_223 = None
+        x_225 = torch.nn.functional.dropout(x_224, 0.0, False, False)
+        x_224 = None
+        x_226 = torch.nn.functional.layer_norm(
+            x_225,
+            (2730,),
+            l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_225 = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_227 = torch._C._nn.linear(
+            x_226,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_226 = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_228 = torch.nn.functional.dropout(x_227, 0.0, False, False)
+        x_227 = None
+        x_229 = x_221 + x_228
+        x_221 = x_228 = None
+        x_230 = torch.nn.functional.layer_norm(
+            x_229,
+            (1024,),
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        ) = None
+        linear_105 = torch._C._nn.linear(
+            x_230,
+            l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_90 = linear_105.reshape(1, 257, 16, -1)
+        linear_105 = None
+        q_30 = reshape_90.transpose(1, 2)
+        reshape_90 = None
+        linear_106 = torch._C._nn.linear(
+            x_230,
+            l_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_91 = linear_106.reshape(1, 257, 16, -1)
+        linear_106 = None
+        k_30 = reshape_91.transpose(1, 2)
+        reshape_91 = None
+        linear_107 = torch._C._nn.linear(
+            x_230,
+            l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_230 = l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_92 = linear_107.reshape(1, 257, 16, -1)
+        linear_107 = None
+        v_15 = reshape_92.transpose(1, 2)
+        reshape_92 = None
+        getitem_184 = q_30[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_185 = q_30[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_30 = None
+        tensor_split_30 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_30 = tensor_split_30[0]
+        cos_emb_30 = tensor_split_30[1]
+        tensor_split_30 = None
+        mul_75 = getitem_185 * cos_emb_30
+        cos_emb_30 = None
+        getitem_188 = getitem_185[(Ellipsis, slice(1, None, 2))]
+        neg_30 = -getitem_188
+        getitem_188 = None
+        getitem_189 = getitem_185[(Ellipsis, slice(None, None, 2))]
+        getitem_185 = None
+        stack_30 = torch.stack([neg_30, getitem_189], -1)
+        neg_30 = getitem_189 = None
+        reshape_93 = stack_30.reshape((1, 16, 256, 64))
+        stack_30 = None
+        mul_76 = reshape_93 * sin_emb_30
+        reshape_93 = sin_emb_30 = None
+        add_61 = mul_75 + mul_76
+        mul_75 = mul_76 = None
+        cat_31 = torch.cat([getitem_184, add_61], dim=2)
+        getitem_184 = add_61 = None
+        q_31 = cat_31.type_as(v_15)
+        cat_31 = None
+        getitem_190 = k_30[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_191 = k_30[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_30 = None
+        tensor_split_31 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_31 = tensor_split_31[0]
+        cos_emb_31 = tensor_split_31[1]
+        tensor_split_31 = None
+        mul_77 = getitem_191 * cos_emb_31
+        cos_emb_31 = None
+        getitem_194 = getitem_191[(Ellipsis, slice(1, None, 2))]
+        neg_31 = -getitem_194
+        getitem_194 = None
+        getitem_195 = getitem_191[(Ellipsis, slice(None, None, 2))]
+        getitem_191 = None
+        stack_31 = torch.stack([neg_31, getitem_195], -1)
+        neg_31 = getitem_195 = None
+        reshape_94 = stack_31.reshape((1, 16, 256, 64))
+        stack_31 = None
+        mul_78 = reshape_94 * sin_emb_31
+        reshape_94 = sin_emb_31 = None
+        add_62 = mul_77 + mul_78
+        mul_77 = mul_78 = None
+        cat_32 = torch.cat([getitem_190, add_62], dim=2)
+        getitem_190 = add_62 = None
+        k_31 = cat_32.type_as(v_15)
+        cat_32 = None
+        x_231 = torch._C._nn.scaled_dot_product_attention(
+            q_31, k_31, v_15, attn_mask=None, dropout_p=0.0
+        )
+        q_31 = k_31 = v_15 = None
+        transpose_64 = x_231.transpose(1, 2)
+        x_231 = None
+        x_232 = transpose_64.reshape(1, 257, 1024)
+        transpose_64 = None
+        x_233 = torch.nn.functional.layer_norm(
+            x_232,
+            (1024,),
+            l_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_232 = l_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_234 = torch._C._nn.linear(
+            x_233,
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_233 = l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_235 = torch.nn.functional.dropout(x_234, 0.0, False, False)
+        x_234 = None
+        x_236 = x_229 + x_235
+        x_229 = x_235 = None
+        x_237 = torch.nn.functional.layer_norm(
+            x_236,
+            (1024,),
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_15 = torch._C._nn.linear(
+            x_237,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_238 = torch._C._nn.linear(
+            x_237,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_237 = l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_15 = torch.nn.functional.silu(x_gate_15, inplace=False)
+        x_gate_15 = None
+        x_239 = silu_15 * x_238
+        silu_15 = x_238 = None
+        x_240 = torch.nn.functional.dropout(x_239, 0.0, False, False)
+        x_239 = None
+        x_241 = torch.nn.functional.layer_norm(
+            x_240,
+            (2730,),
+            l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_240 = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_242 = torch._C._nn.linear(
+            x_241,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_241 = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_243 = torch.nn.functional.dropout(x_242, 0.0, False, False)
+        x_242 = None
+        x_244 = x_236 + x_243
+        x_236 = x_243 = None
+        x_245 = torch.nn.functional.layer_norm(
+            x_244,
+            (1024,),
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        ) = None
+        linear_112 = torch._C._nn.linear(
+            x_245,
+            l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_96 = linear_112.reshape(1, 257, 16, -1)
+        linear_112 = None
+        q_32 = reshape_96.transpose(1, 2)
+        reshape_96 = None
+        linear_113 = torch._C._nn.linear(
+            x_245,
+            l_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_97 = linear_113.reshape(1, 257, 16, -1)
+        linear_113 = None
+        k_32 = reshape_97.transpose(1, 2)
+        reshape_97 = None
+        linear_114 = torch._C._nn.linear(
+            x_245,
+            l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_245 = l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_98 = linear_114.reshape(1, 257, 16, -1)
+        linear_114 = None
+        v_16 = reshape_98.transpose(1, 2)
+        reshape_98 = None
+        getitem_196 = q_32[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_197 = q_32[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_32 = None
+        tensor_split_32 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_32 = tensor_split_32[0]
+        cos_emb_32 = tensor_split_32[1]
+        tensor_split_32 = None
+        mul_80 = getitem_197 * cos_emb_32
+        cos_emb_32 = None
+        getitem_200 = getitem_197[(Ellipsis, slice(1, None, 2))]
+        neg_32 = -getitem_200
+        getitem_200 = None
+        getitem_201 = getitem_197[(Ellipsis, slice(None, None, 2))]
+        getitem_197 = None
+        stack_32 = torch.stack([neg_32, getitem_201], -1)
+        neg_32 = getitem_201 = None
+        reshape_99 = stack_32.reshape((1, 16, 256, 64))
+        stack_32 = None
+        mul_81 = reshape_99 * sin_emb_32
+        reshape_99 = sin_emb_32 = None
+        add_65 = mul_80 + mul_81
+        mul_80 = mul_81 = None
+        cat_33 = torch.cat([getitem_196, add_65], dim=2)
+        getitem_196 = add_65 = None
+        q_33 = cat_33.type_as(v_16)
+        cat_33 = None
+        getitem_202 = k_32[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_203 = k_32[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_32 = None
+        tensor_split_33 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_33 = tensor_split_33[0]
+        cos_emb_33 = tensor_split_33[1]
+        tensor_split_33 = None
+        mul_82 = getitem_203 * cos_emb_33
+        cos_emb_33 = None
+        getitem_206 = getitem_203[(Ellipsis, slice(1, None, 2))]
+        neg_33 = -getitem_206
+        getitem_206 = None
+        getitem_207 = getitem_203[(Ellipsis, slice(None, None, 2))]
+        getitem_203 = None
+        stack_33 = torch.stack([neg_33, getitem_207], -1)
+        neg_33 = getitem_207 = None
+        reshape_100 = stack_33.reshape((1, 16, 256, 64))
+        stack_33 = None
+        mul_83 = reshape_100 * sin_emb_33
+        reshape_100 = sin_emb_33 = None
+        add_66 = mul_82 + mul_83
+        mul_82 = mul_83 = None
+        cat_34 = torch.cat([getitem_202, add_66], dim=2)
+        getitem_202 = add_66 = None
+        k_33 = cat_34.type_as(v_16)
+        cat_34 = None
+        x_246 = torch._C._nn.scaled_dot_product_attention(
+            q_33, k_33, v_16, attn_mask=None, dropout_p=0.0
+        )
+        q_33 = k_33 = v_16 = None
+        transpose_68 = x_246.transpose(1, 2)
+        x_246 = None
+        x_247 = transpose_68.reshape(1, 257, 1024)
+        transpose_68 = None
+        x_248 = torch.nn.functional.layer_norm(
+            x_247,
+            (1024,),
+            l_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_247 = l_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_249 = torch._C._nn.linear(
+            x_248,
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_248 = l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_250 = torch.nn.functional.dropout(x_249, 0.0, False, False)
+        x_249 = None
+        x_251 = x_244 + x_250
+        x_244 = x_250 = None
+        x_252 = torch.nn.functional.layer_norm(
+            x_251,
+            (1024,),
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_16 = torch._C._nn.linear(
+            x_252,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_253 = torch._C._nn.linear(
+            x_252,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_252 = l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_16 = torch.nn.functional.silu(x_gate_16, inplace=False)
+        x_gate_16 = None
+        x_254 = silu_16 * x_253
+        silu_16 = x_253 = None
+        x_255 = torch.nn.functional.dropout(x_254, 0.0, False, False)
+        x_254 = None
+        x_256 = torch.nn.functional.layer_norm(
+            x_255,
+            (2730,),
+            l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_255 = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_257 = torch._C._nn.linear(
+            x_256,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_256 = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_258 = torch.nn.functional.dropout(x_257, 0.0, False, False)
+        x_257 = None
+        x_259 = x_251 + x_258
+        x_251 = x_258 = None
+        x_260 = torch.nn.functional.layer_norm(
+            x_259,
+            (1024,),
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        ) = None
+        linear_119 = torch._C._nn.linear(
+            x_260,
+            l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_102 = linear_119.reshape(1, 257, 16, -1)
+        linear_119 = None
+        q_34 = reshape_102.transpose(1, 2)
+        reshape_102 = None
+        linear_120 = torch._C._nn.linear(
+            x_260,
+            l_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_103 = linear_120.reshape(1, 257, 16, -1)
+        linear_120 = None
+        k_34 = reshape_103.transpose(1, 2)
+        reshape_103 = None
+        linear_121 = torch._C._nn.linear(
+            x_260,
+            l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_260 = l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_104 = linear_121.reshape(1, 257, 16, -1)
+        linear_121 = None
+        v_17 = reshape_104.transpose(1, 2)
+        reshape_104 = None
+        getitem_208 = q_34[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_209 = q_34[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_34 = None
+        tensor_split_34 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_34 = tensor_split_34[0]
+        cos_emb_34 = tensor_split_34[1]
+        tensor_split_34 = None
+        mul_85 = getitem_209 * cos_emb_34
+        cos_emb_34 = None
+        getitem_212 = getitem_209[(Ellipsis, slice(1, None, 2))]
+        neg_34 = -getitem_212
+        getitem_212 = None
+        getitem_213 = getitem_209[(Ellipsis, slice(None, None, 2))]
+        getitem_209 = None
+        stack_34 = torch.stack([neg_34, getitem_213], -1)
+        neg_34 = getitem_213 = None
+        reshape_105 = stack_34.reshape((1, 16, 256, 64))
+        stack_34 = None
+        mul_86 = reshape_105 * sin_emb_34
+        reshape_105 = sin_emb_34 = None
+        add_69 = mul_85 + mul_86
+        mul_85 = mul_86 = None
+        cat_35 = torch.cat([getitem_208, add_69], dim=2)
+        getitem_208 = add_69 = None
+        q_35 = cat_35.type_as(v_17)
+        cat_35 = None
+        getitem_214 = k_34[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_215 = k_34[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_34 = None
+        tensor_split_35 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_35 = tensor_split_35[0]
+        cos_emb_35 = tensor_split_35[1]
+        tensor_split_35 = None
+        mul_87 = getitem_215 * cos_emb_35
+        cos_emb_35 = None
+        getitem_218 = getitem_215[(Ellipsis, slice(1, None, 2))]
+        neg_35 = -getitem_218
+        getitem_218 = None
+        getitem_219 = getitem_215[(Ellipsis, slice(None, None, 2))]
+        getitem_215 = None
+        stack_35 = torch.stack([neg_35, getitem_219], -1)
+        neg_35 = getitem_219 = None
+        reshape_106 = stack_35.reshape((1, 16, 256, 64))
+        stack_35 = None
+        mul_88 = reshape_106 * sin_emb_35
+        reshape_106 = sin_emb_35 = None
+        add_70 = mul_87 + mul_88
+        mul_87 = mul_88 = None
+        cat_36 = torch.cat([getitem_214, add_70], dim=2)
+        getitem_214 = add_70 = None
+        k_35 = cat_36.type_as(v_17)
+        cat_36 = None
+        x_261 = torch._C._nn.scaled_dot_product_attention(
+            q_35, k_35, v_17, attn_mask=None, dropout_p=0.0
+        )
+        q_35 = k_35 = v_17 = None
+        transpose_72 = x_261.transpose(1, 2)
+        x_261 = None
+        x_262 = transpose_72.reshape(1, 257, 1024)
+        transpose_72 = None
+        x_263 = torch.nn.functional.layer_norm(
+            x_262,
+            (1024,),
+            l_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_262 = l_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_264 = torch._C._nn.linear(
+            x_263,
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_263 = l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_265 = torch.nn.functional.dropout(x_264, 0.0, False, False)
+        x_264 = None
+        x_266 = x_259 + x_265
+        x_259 = x_265 = None
+        x_267 = torch.nn.functional.layer_norm(
+            x_266,
+            (1024,),
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_17 = torch._C._nn.linear(
+            x_267,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_268 = torch._C._nn.linear(
+            x_267,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_267 = l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_17 = torch.nn.functional.silu(x_gate_17, inplace=False)
+        x_gate_17 = None
+        x_269 = silu_17 * x_268
+        silu_17 = x_268 = None
+        x_270 = torch.nn.functional.dropout(x_269, 0.0, False, False)
+        x_269 = None
+        x_271 = torch.nn.functional.layer_norm(
+            x_270,
+            (2730,),
+            l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_270 = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_272 = torch._C._nn.linear(
+            x_271,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_271 = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_273 = torch.nn.functional.dropout(x_272, 0.0, False, False)
+        x_272 = None
+        x_274 = x_266 + x_273
+        x_266 = x_273 = None
+        x_275 = torch.nn.functional.layer_norm(
+            x_274,
+            (1024,),
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_
+        ) = None
+        linear_126 = torch._C._nn.linear(
+            x_275,
+            l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_108 = linear_126.reshape(1, 257, 16, -1)
+        linear_126 = None
+        q_36 = reshape_108.transpose(1, 2)
+        reshape_108 = None
+        linear_127 = torch._C._nn.linear(
+            x_275,
+            l_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_109 = linear_127.reshape(1, 257, 16, -1)
+        linear_127 = None
+        k_36 = reshape_109.transpose(1, 2)
+        reshape_109 = None
+        linear_128 = torch._C._nn.linear(
+            x_275,
+            l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_275 = l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_110 = linear_128.reshape(1, 257, 16, -1)
+        linear_128 = None
+        v_18 = reshape_110.transpose(1, 2)
+        reshape_110 = None
+        getitem_220 = q_36[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_221 = q_36[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_36 = None
+        tensor_split_36 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_36 = tensor_split_36[0]
+        cos_emb_36 = tensor_split_36[1]
+        tensor_split_36 = None
+        mul_90 = getitem_221 * cos_emb_36
+        cos_emb_36 = None
+        getitem_224 = getitem_221[(Ellipsis, slice(1, None, 2))]
+        neg_36 = -getitem_224
+        getitem_224 = None
+        getitem_225 = getitem_221[(Ellipsis, slice(None, None, 2))]
+        getitem_221 = None
+        stack_36 = torch.stack([neg_36, getitem_225], -1)
+        neg_36 = getitem_225 = None
+        reshape_111 = stack_36.reshape((1, 16, 256, 64))
+        stack_36 = None
+        mul_91 = reshape_111 * sin_emb_36
+        reshape_111 = sin_emb_36 = None
+        add_73 = mul_90 + mul_91
+        mul_90 = mul_91 = None
+        cat_37 = torch.cat([getitem_220, add_73], dim=2)
+        getitem_220 = add_73 = None
+        q_37 = cat_37.type_as(v_18)
+        cat_37 = None
+        getitem_226 = k_36[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_227 = k_36[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_36 = None
+        tensor_split_37 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_37 = tensor_split_37[0]
+        cos_emb_37 = tensor_split_37[1]
+        tensor_split_37 = None
+        mul_92 = getitem_227 * cos_emb_37
+        cos_emb_37 = None
+        getitem_230 = getitem_227[(Ellipsis, slice(1, None, 2))]
+        neg_37 = -getitem_230
+        getitem_230 = None
+        getitem_231 = getitem_227[(Ellipsis, slice(None, None, 2))]
+        getitem_227 = None
+        stack_37 = torch.stack([neg_37, getitem_231], -1)
+        neg_37 = getitem_231 = None
+        reshape_112 = stack_37.reshape((1, 16, 256, 64))
+        stack_37 = None
+        mul_93 = reshape_112 * sin_emb_37
+        reshape_112 = sin_emb_37 = None
+        add_74 = mul_92 + mul_93
+        mul_92 = mul_93 = None
+        cat_38 = torch.cat([getitem_226, add_74], dim=2)
+        getitem_226 = add_74 = None
+        k_37 = cat_38.type_as(v_18)
+        cat_38 = None
+        x_276 = torch._C._nn.scaled_dot_product_attention(
+            q_37, k_37, v_18, attn_mask=None, dropout_p=0.0
+        )
+        q_37 = k_37 = v_18 = None
+        transpose_76 = x_276.transpose(1, 2)
+        x_276 = None
+        x_277 = transpose_76.reshape(1, 257, 1024)
+        transpose_76 = None
+        x_278 = torch.nn.functional.layer_norm(
+            x_277,
+            (1024,),
+            l_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_277 = l_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_279 = torch._C._nn.linear(
+            x_278,
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_278 = l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_280 = torch.nn.functional.dropout(x_279, 0.0, False, False)
+        x_279 = None
+        x_281 = x_274 + x_280
+        x_274 = x_280 = None
+        x_282 = torch.nn.functional.layer_norm(
+            x_281,
+            (1024,),
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_18 = torch._C._nn.linear(
+            x_282,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_283 = torch._C._nn.linear(
+            x_282,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_282 = l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_18 = torch.nn.functional.silu(x_gate_18, inplace=False)
+        x_gate_18 = None
+        x_284 = silu_18 * x_283
+        silu_18 = x_283 = None
+        x_285 = torch.nn.functional.dropout(x_284, 0.0, False, False)
+        x_284 = None
+        x_286 = torch.nn.functional.layer_norm(
+            x_285,
+            (2730,),
+            l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_285 = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_287 = torch._C._nn.linear(
+            x_286,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_286 = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_288 = torch.nn.functional.dropout(x_287, 0.0, False, False)
+        x_287 = None
+        x_289 = x_281 + x_288
+        x_281 = x_288 = None
+        x_290 = torch.nn.functional.layer_norm(
+            x_289,
+            (1024,),
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_
+        ) = None
+        linear_133 = torch._C._nn.linear(
+            x_290,
+            l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_114 = linear_133.reshape(1, 257, 16, -1)
+        linear_133 = None
+        q_38 = reshape_114.transpose(1, 2)
+        reshape_114 = None
+        linear_134 = torch._C._nn.linear(
+            x_290,
+            l_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_115 = linear_134.reshape(1, 257, 16, -1)
+        linear_134 = None
+        k_38 = reshape_115.transpose(1, 2)
+        reshape_115 = None
+        linear_135 = torch._C._nn.linear(
+            x_290,
+            l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_290 = l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_116 = linear_135.reshape(1, 257, 16, -1)
+        linear_135 = None
+        v_19 = reshape_116.transpose(1, 2)
+        reshape_116 = None
+        getitem_232 = q_38[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_233 = q_38[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_38 = None
+        tensor_split_38 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_38 = tensor_split_38[0]
+        cos_emb_38 = tensor_split_38[1]
+        tensor_split_38 = None
+        mul_95 = getitem_233 * cos_emb_38
+        cos_emb_38 = None
+        getitem_236 = getitem_233[(Ellipsis, slice(1, None, 2))]
+        neg_38 = -getitem_236
+        getitem_236 = None
+        getitem_237 = getitem_233[(Ellipsis, slice(None, None, 2))]
+        getitem_233 = None
+        stack_38 = torch.stack([neg_38, getitem_237], -1)
+        neg_38 = getitem_237 = None
+        reshape_117 = stack_38.reshape((1, 16, 256, 64))
+        stack_38 = None
+        mul_96 = reshape_117 * sin_emb_38
+        reshape_117 = sin_emb_38 = None
+        add_77 = mul_95 + mul_96
+        mul_95 = mul_96 = None
+        cat_39 = torch.cat([getitem_232, add_77], dim=2)
+        getitem_232 = add_77 = None
+        q_39 = cat_39.type_as(v_19)
+        cat_39 = None
+        getitem_238 = k_38[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_239 = k_38[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_38 = None
+        tensor_split_39 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_39 = tensor_split_39[0]
+        cos_emb_39 = tensor_split_39[1]
+        tensor_split_39 = None
+        mul_97 = getitem_239 * cos_emb_39
+        cos_emb_39 = None
+        getitem_242 = getitem_239[(Ellipsis, slice(1, None, 2))]
+        neg_39 = -getitem_242
+        getitem_242 = None
+        getitem_243 = getitem_239[(Ellipsis, slice(None, None, 2))]
+        getitem_239 = None
+        stack_39 = torch.stack([neg_39, getitem_243], -1)
+        neg_39 = getitem_243 = None
+        reshape_118 = stack_39.reshape((1, 16, 256, 64))
+        stack_39 = None
+        mul_98 = reshape_118 * sin_emb_39
+        reshape_118 = sin_emb_39 = None
+        add_78 = mul_97 + mul_98
+        mul_97 = mul_98 = None
+        cat_40 = torch.cat([getitem_238, add_78], dim=2)
+        getitem_238 = add_78 = None
+        k_39 = cat_40.type_as(v_19)
+        cat_40 = None
+        x_291 = torch._C._nn.scaled_dot_product_attention(
+            q_39, k_39, v_19, attn_mask=None, dropout_p=0.0
+        )
+        q_39 = k_39 = v_19 = None
+        transpose_80 = x_291.transpose(1, 2)
+        x_291 = None
+        x_292 = transpose_80.reshape(1, 257, 1024)
+        transpose_80 = None
+        x_293 = torch.nn.functional.layer_norm(
+            x_292,
+            (1024,),
+            l_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_292 = l_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_294 = torch._C._nn.linear(
+            x_293,
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_293 = l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_295 = torch.nn.functional.dropout(x_294, 0.0, False, False)
+        x_294 = None
+        x_296 = x_289 + x_295
+        x_289 = x_295 = None
+        x_297 = torch.nn.functional.layer_norm(
+            x_296,
+            (1024,),
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_19 = torch._C._nn.linear(
+            x_297,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_298 = torch._C._nn.linear(
+            x_297,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_297 = l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_19 = torch.nn.functional.silu(x_gate_19, inplace=False)
+        x_gate_19 = None
+        x_299 = silu_19 * x_298
+        silu_19 = x_298 = None
+        x_300 = torch.nn.functional.dropout(x_299, 0.0, False, False)
+        x_299 = None
+        x_301 = torch.nn.functional.layer_norm(
+            x_300,
+            (2730,),
+            l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_300 = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_302 = torch._C._nn.linear(
+            x_301,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_301 = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_303 = torch.nn.functional.dropout(x_302, 0.0, False, False)
+        x_302 = None
+        x_304 = x_296 + x_303
+        x_296 = x_303 = None
+        x_305 = torch.nn.functional.layer_norm(
+            x_304,
+            (1024,),
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_
+        ) = None
+        linear_140 = torch._C._nn.linear(
+            x_305,
+            l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_120 = linear_140.reshape(1, 257, 16, -1)
+        linear_140 = None
+        q_40 = reshape_120.transpose(1, 2)
+        reshape_120 = None
+        linear_141 = torch._C._nn.linear(
+            x_305,
+            l_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_121 = linear_141.reshape(1, 257, 16, -1)
+        linear_141 = None
+        k_40 = reshape_121.transpose(1, 2)
+        reshape_121 = None
+        linear_142 = torch._C._nn.linear(
+            x_305,
+            l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_305 = l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_122 = linear_142.reshape(1, 257, 16, -1)
+        linear_142 = None
+        v_20 = reshape_122.transpose(1, 2)
+        reshape_122 = None
+        getitem_244 = q_40[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_245 = q_40[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_40 = None
+        tensor_split_40 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_40 = tensor_split_40[0]
+        cos_emb_40 = tensor_split_40[1]
+        tensor_split_40 = None
+        mul_100 = getitem_245 * cos_emb_40
+        cos_emb_40 = None
+        getitem_248 = getitem_245[(Ellipsis, slice(1, None, 2))]
+        neg_40 = -getitem_248
+        getitem_248 = None
+        getitem_249 = getitem_245[(Ellipsis, slice(None, None, 2))]
+        getitem_245 = None
+        stack_40 = torch.stack([neg_40, getitem_249], -1)
+        neg_40 = getitem_249 = None
+        reshape_123 = stack_40.reshape((1, 16, 256, 64))
+        stack_40 = None
+        mul_101 = reshape_123 * sin_emb_40
+        reshape_123 = sin_emb_40 = None
+        add_81 = mul_100 + mul_101
+        mul_100 = mul_101 = None
+        cat_41 = torch.cat([getitem_244, add_81], dim=2)
+        getitem_244 = add_81 = None
+        q_41 = cat_41.type_as(v_20)
+        cat_41 = None
+        getitem_250 = k_40[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_251 = k_40[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_40 = None
+        tensor_split_41 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_41 = tensor_split_41[0]
+        cos_emb_41 = tensor_split_41[1]
+        tensor_split_41 = None
+        mul_102 = getitem_251 * cos_emb_41
+        cos_emb_41 = None
+        getitem_254 = getitem_251[(Ellipsis, slice(1, None, 2))]
+        neg_41 = -getitem_254
+        getitem_254 = None
+        getitem_255 = getitem_251[(Ellipsis, slice(None, None, 2))]
+        getitem_251 = None
+        stack_41 = torch.stack([neg_41, getitem_255], -1)
+        neg_41 = getitem_255 = None
+        reshape_124 = stack_41.reshape((1, 16, 256, 64))
+        stack_41 = None
+        mul_103 = reshape_124 * sin_emb_41
+        reshape_124 = sin_emb_41 = None
+        add_82 = mul_102 + mul_103
+        mul_102 = mul_103 = None
+        cat_42 = torch.cat([getitem_250, add_82], dim=2)
+        getitem_250 = add_82 = None
+        k_41 = cat_42.type_as(v_20)
+        cat_42 = None
+        x_306 = torch._C._nn.scaled_dot_product_attention(
+            q_41, k_41, v_20, attn_mask=None, dropout_p=0.0
+        )
+        q_41 = k_41 = v_20 = None
+        transpose_84 = x_306.transpose(1, 2)
+        x_306 = None
+        x_307 = transpose_84.reshape(1, 257, 1024)
+        transpose_84 = None
+        x_308 = torch.nn.functional.layer_norm(
+            x_307,
+            (1024,),
+            l_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_307 = l_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_309 = torch._C._nn.linear(
+            x_308,
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_308 = l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_310 = torch.nn.functional.dropout(x_309, 0.0, False, False)
+        x_309 = None
+        x_311 = x_304 + x_310
+        x_304 = x_310 = None
+        x_312 = torch.nn.functional.layer_norm(
+            x_311,
+            (1024,),
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_20 = torch._C._nn.linear(
+            x_312,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_313 = torch._C._nn.linear(
+            x_312,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_312 = l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_20 = torch.nn.functional.silu(x_gate_20, inplace=False)
+        x_gate_20 = None
+        x_314 = silu_20 * x_313
+        silu_20 = x_313 = None
+        x_315 = torch.nn.functional.dropout(x_314, 0.0, False, False)
+        x_314 = None
+        x_316 = torch.nn.functional.layer_norm(
+            x_315,
+            (2730,),
+            l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_315 = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_317 = torch._C._nn.linear(
+            x_316,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_316 = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_318 = torch.nn.functional.dropout(x_317, 0.0, False, False)
+        x_317 = None
+        x_319 = x_311 + x_318
+        x_311 = x_318 = None
+        x_320 = torch.nn.functional.layer_norm(
+            x_319,
+            (1024,),
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_
+        ) = None
+        linear_147 = torch._C._nn.linear(
+            x_320,
+            l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_126 = linear_147.reshape(1, 257, 16, -1)
+        linear_147 = None
+        q_42 = reshape_126.transpose(1, 2)
+        reshape_126 = None
+        linear_148 = torch._C._nn.linear(
+            x_320,
+            l_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_127 = linear_148.reshape(1, 257, 16, -1)
+        linear_148 = None
+        k_42 = reshape_127.transpose(1, 2)
+        reshape_127 = None
+        linear_149 = torch._C._nn.linear(
+            x_320,
+            l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_320 = l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_128 = linear_149.reshape(1, 257, 16, -1)
+        linear_149 = None
+        v_21 = reshape_128.transpose(1, 2)
+        reshape_128 = None
+        getitem_256 = q_42[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_257 = q_42[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_42 = None
+        tensor_split_42 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_42 = tensor_split_42[0]
+        cos_emb_42 = tensor_split_42[1]
+        tensor_split_42 = None
+        mul_105 = getitem_257 * cos_emb_42
+        cos_emb_42 = None
+        getitem_260 = getitem_257[(Ellipsis, slice(1, None, 2))]
+        neg_42 = -getitem_260
+        getitem_260 = None
+        getitem_261 = getitem_257[(Ellipsis, slice(None, None, 2))]
+        getitem_257 = None
+        stack_42 = torch.stack([neg_42, getitem_261], -1)
+        neg_42 = getitem_261 = None
+        reshape_129 = stack_42.reshape((1, 16, 256, 64))
+        stack_42 = None
+        mul_106 = reshape_129 * sin_emb_42
+        reshape_129 = sin_emb_42 = None
+        add_85 = mul_105 + mul_106
+        mul_105 = mul_106 = None
+        cat_43 = torch.cat([getitem_256, add_85], dim=2)
+        getitem_256 = add_85 = None
+        q_43 = cat_43.type_as(v_21)
+        cat_43 = None
+        getitem_262 = k_42[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_263 = k_42[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_42 = None
+        tensor_split_43 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_43 = tensor_split_43[0]
+        cos_emb_43 = tensor_split_43[1]
+        tensor_split_43 = None
+        mul_107 = getitem_263 * cos_emb_43
+        cos_emb_43 = None
+        getitem_266 = getitem_263[(Ellipsis, slice(1, None, 2))]
+        neg_43 = -getitem_266
+        getitem_266 = None
+        getitem_267 = getitem_263[(Ellipsis, slice(None, None, 2))]
+        getitem_263 = None
+        stack_43 = torch.stack([neg_43, getitem_267], -1)
+        neg_43 = getitem_267 = None
+        reshape_130 = stack_43.reshape((1, 16, 256, 64))
+        stack_43 = None
+        mul_108 = reshape_130 * sin_emb_43
+        reshape_130 = sin_emb_43 = None
+        add_86 = mul_107 + mul_108
+        mul_107 = mul_108 = None
+        cat_44 = torch.cat([getitem_262, add_86], dim=2)
+        getitem_262 = add_86 = None
+        k_43 = cat_44.type_as(v_21)
+        cat_44 = None
+        x_321 = torch._C._nn.scaled_dot_product_attention(
+            q_43, k_43, v_21, attn_mask=None, dropout_p=0.0
+        )
+        q_43 = k_43 = v_21 = None
+        transpose_88 = x_321.transpose(1, 2)
+        x_321 = None
+        x_322 = transpose_88.reshape(1, 257, 1024)
+        transpose_88 = None
+        x_323 = torch.nn.functional.layer_norm(
+            x_322,
+            (1024,),
+            l_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_322 = l_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_324 = torch._C._nn.linear(
+            x_323,
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_323 = l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_325 = torch.nn.functional.dropout(x_324, 0.0, False, False)
+        x_324 = None
+        x_326 = x_319 + x_325
+        x_319 = x_325 = None
+        x_327 = torch.nn.functional.layer_norm(
+            x_326,
+            (1024,),
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_21 = torch._C._nn.linear(
+            x_327,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_328 = torch._C._nn.linear(
+            x_327,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_327 = l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_21 = torch.nn.functional.silu(x_gate_21, inplace=False)
+        x_gate_21 = None
+        x_329 = silu_21 * x_328
+        silu_21 = x_328 = None
+        x_330 = torch.nn.functional.dropout(x_329, 0.0, False, False)
+        x_329 = None
+        x_331 = torch.nn.functional.layer_norm(
+            x_330,
+            (2730,),
+            l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_330 = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_332 = torch._C._nn.linear(
+            x_331,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_331 = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_333 = torch.nn.functional.dropout(x_332, 0.0, False, False)
+        x_332 = None
+        x_334 = x_326 + x_333
+        x_326 = x_333 = None
+        x_335 = torch.nn.functional.layer_norm(
+            x_334,
+            (1024,),
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_
+        ) = None
+        linear_154 = torch._C._nn.linear(
+            x_335,
+            l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_132 = linear_154.reshape(1, 257, 16, -1)
+        linear_154 = None
+        q_44 = reshape_132.transpose(1, 2)
+        reshape_132 = None
+        linear_155 = torch._C._nn.linear(
+            x_335,
+            l_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_133 = linear_155.reshape(1, 257, 16, -1)
+        linear_155 = None
+        k_44 = reshape_133.transpose(1, 2)
+        reshape_133 = None
+        linear_156 = torch._C._nn.linear(
+            x_335,
+            l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_335 = l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_134 = linear_156.reshape(1, 257, 16, -1)
+        linear_156 = None
+        v_22 = reshape_134.transpose(1, 2)
+        reshape_134 = None
+        getitem_268 = q_44[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_269 = q_44[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_44 = None
+        tensor_split_44 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_44 = tensor_split_44[0]
+        cos_emb_44 = tensor_split_44[1]
+        tensor_split_44 = None
+        mul_110 = getitem_269 * cos_emb_44
+        cos_emb_44 = None
+        getitem_272 = getitem_269[(Ellipsis, slice(1, None, 2))]
+        neg_44 = -getitem_272
+        getitem_272 = None
+        getitem_273 = getitem_269[(Ellipsis, slice(None, None, 2))]
+        getitem_269 = None
+        stack_44 = torch.stack([neg_44, getitem_273], -1)
+        neg_44 = getitem_273 = None
+        reshape_135 = stack_44.reshape((1, 16, 256, 64))
+        stack_44 = None
+        mul_111 = reshape_135 * sin_emb_44
+        reshape_135 = sin_emb_44 = None
+        add_89 = mul_110 + mul_111
+        mul_110 = mul_111 = None
+        cat_45 = torch.cat([getitem_268, add_89], dim=2)
+        getitem_268 = add_89 = None
+        q_45 = cat_45.type_as(v_22)
+        cat_45 = None
+        getitem_274 = k_44[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_275 = k_44[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_44 = None
+        tensor_split_45 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_45 = tensor_split_45[0]
+        cos_emb_45 = tensor_split_45[1]
+        tensor_split_45 = None
+        mul_112 = getitem_275 * cos_emb_45
+        cos_emb_45 = None
+        getitem_278 = getitem_275[(Ellipsis, slice(1, None, 2))]
+        neg_45 = -getitem_278
+        getitem_278 = None
+        getitem_279 = getitem_275[(Ellipsis, slice(None, None, 2))]
+        getitem_275 = None
+        stack_45 = torch.stack([neg_45, getitem_279], -1)
+        neg_45 = getitem_279 = None
+        reshape_136 = stack_45.reshape((1, 16, 256, 64))
+        stack_45 = None
+        mul_113 = reshape_136 * sin_emb_45
+        reshape_136 = sin_emb_45 = None
+        add_90 = mul_112 + mul_113
+        mul_112 = mul_113 = None
+        cat_46 = torch.cat([getitem_274, add_90], dim=2)
+        getitem_274 = add_90 = None
+        k_45 = cat_46.type_as(v_22)
+        cat_46 = None
+        x_336 = torch._C._nn.scaled_dot_product_attention(
+            q_45, k_45, v_22, attn_mask=None, dropout_p=0.0
+        )
+        q_45 = k_45 = v_22 = None
+        transpose_92 = x_336.transpose(1, 2)
+        x_336 = None
+        x_337 = transpose_92.reshape(1, 257, 1024)
+        transpose_92 = None
+        x_338 = torch.nn.functional.layer_norm(
+            x_337,
+            (1024,),
+            l_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_337 = l_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_339 = torch._C._nn.linear(
+            x_338,
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_338 = l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_340 = torch.nn.functional.dropout(x_339, 0.0, False, False)
+        x_339 = None
+        x_341 = x_334 + x_340
+        x_334 = x_340 = None
+        x_342 = torch.nn.functional.layer_norm(
+            x_341,
+            (1024,),
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_22 = torch._C._nn.linear(
+            x_342,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_343 = torch._C._nn.linear(
+            x_342,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_342 = l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_22 = torch.nn.functional.silu(x_gate_22, inplace=False)
+        x_gate_22 = None
+        x_344 = silu_22 * x_343
+        silu_22 = x_343 = None
+        x_345 = torch.nn.functional.dropout(x_344, 0.0, False, False)
+        x_344 = None
+        x_346 = torch.nn.functional.layer_norm(
+            x_345,
+            (2730,),
+            l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_345 = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_347 = torch._C._nn.linear(
+            x_346,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_346 = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_348 = torch.nn.functional.dropout(x_347, 0.0, False, False)
+        x_347 = None
+        x_349 = x_341 + x_348
+        x_341 = x_348 = None
+        x_350 = torch.nn.functional.layer_norm(
+            x_349,
+            (1024,),
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_
+        ) = None
+        linear_161 = torch._C._nn.linear(
+            x_350,
+            l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_ = l_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_ = (None)
+        reshape_138 = linear_161.reshape(1, 257, 16, -1)
+        linear_161 = None
+        q_46 = reshape_138.transpose(1, 2)
+        reshape_138 = None
+        linear_162 = torch._C._nn.linear(
+            x_350,
+            l_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_,
+            None,
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_ = (
+            None
+        )
+        reshape_139 = linear_162.reshape(1, 257, 16, -1)
+        linear_162 = None
+        k_46 = reshape_139.transpose(1, 2)
+        reshape_139 = None
+        linear_163 = torch._C._nn.linear(
+            x_350,
+            l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_,
+        )
+        x_350 = l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_ = l_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_ = (None)
+        reshape_140 = linear_163.reshape(1, 257, 16, -1)
+        linear_163 = None
+        v_23 = reshape_140.transpose(1, 2)
+        reshape_140 = None
+        getitem_280 = q_46[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_281 = q_46[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_46 = None
+        tensor_split_46 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_46 = tensor_split_46[0]
+        cos_emb_46 = tensor_split_46[1]
+        tensor_split_46 = None
+        mul_115 = getitem_281 * cos_emb_46
+        cos_emb_46 = None
+        getitem_284 = getitem_281[(Ellipsis, slice(1, None, 2))]
+        neg_46 = -getitem_284
+        getitem_284 = None
+        getitem_285 = getitem_281[(Ellipsis, slice(None, None, 2))]
+        getitem_281 = None
+        stack_46 = torch.stack([neg_46, getitem_285], -1)
+        neg_46 = getitem_285 = None
+        reshape_141 = stack_46.reshape((1, 16, 256, 64))
+        stack_46 = None
+        mul_116 = reshape_141 * sin_emb_46
+        reshape_141 = sin_emb_46 = None
+        add_93 = mul_115 + mul_116
+        mul_115 = mul_116 = None
+        cat_47 = torch.cat([getitem_280, add_93], dim=2)
+        getitem_280 = add_93 = None
+        q_47 = cat_47.type_as(v_23)
+        cat_47 = None
+        getitem_286 = k_46[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_287 = k_46[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_46 = None
+        tensor_split_47 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        l_self_modules_rope_buffers_pos_embed_ = None
+        sin_emb_47 = tensor_split_47[0]
+        cos_emb_47 = tensor_split_47[1]
+        tensor_split_47 = None
+        mul_117 = getitem_287 * cos_emb_47
+        cos_emb_47 = None
+        getitem_290 = getitem_287[(Ellipsis, slice(1, None, 2))]
+        neg_47 = -getitem_290
+        getitem_290 = None
+        getitem_291 = getitem_287[(Ellipsis, slice(None, None, 2))]
+        getitem_287 = None
+        stack_47 = torch.stack([neg_47, getitem_291], -1)
+        neg_47 = getitem_291 = None
+        reshape_142 = stack_47.reshape((1, 16, 256, 64))
+        stack_47 = None
+        mul_118 = reshape_142 * sin_emb_47
+        reshape_142 = sin_emb_47 = None
+        add_94 = mul_117 + mul_118
+        mul_117 = mul_118 = None
+        cat_48 = torch.cat([getitem_286, add_94], dim=2)
+        getitem_286 = add_94 = None
+        k_47 = cat_48.type_as(v_23)
+        cat_48 = None
+        x_351 = torch._C._nn.scaled_dot_product_attention(
+            q_47, k_47, v_23, attn_mask=None, dropout_p=0.0
+        )
+        q_47 = k_47 = v_23 = None
+        transpose_96 = x_351.transpose(1, 2)
+        x_351 = None
+        x_352 = transpose_96.reshape(1, 257, 1024)
+        transpose_96 = None
+        x_353 = torch.nn.functional.layer_norm(
+            x_352,
+            (1024,),
+            l_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_352 = l_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_bias_
+        ) = None
+        x_354 = torch._C._nn.linear(
+            x_353,
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_353 = l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_355 = torch.nn.functional.dropout(x_354, 0.0, False, False)
+        x_354 = None
+        x_356 = x_349 + x_355
+        x_349 = x_355 = None
+        x_357 = torch.nn.functional.layer_norm(
+            x_356,
+            (1024,),
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_
+        ) = None
+        x_gate_23 = torch._C._nn.linear(
+            x_357,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_,
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_
+        ) = None
+        x_358 = torch._C._nn.linear(
+            x_357,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_,
+        )
+        x_357 = l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_
+        ) = None
+        silu_23 = torch.nn.functional.silu(x_gate_23, inplace=False)
+        x_gate_23 = None
+        x_359 = silu_23 * x_358
+        silu_23 = x_358 = None
+        x_360 = torch.nn.functional.dropout(x_359, 0.0, False, False)
+        x_359 = None
+        x_361 = torch.nn.functional.layer_norm(
+            x_360,
+            (2730,),
+            l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_360 = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_
+        ) = None
+        x_362 = torch._C._nn.linear(
+            x_361,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_361 = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_363 = torch.nn.functional.dropout(x_362, 0.0, False, False)
+        x_362 = None
+        x_364 = x_356 + x_363
+        x_356 = x_363 = None
+        x_365 = torch.nn.functional.layer_norm(
+            x_364,
+            (1024,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_364 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_366 = x_365[(slice(None, None, None), 0)]
+        x_365 = None
+        x_367 = torch.nn.functional.dropout(x_366, 0.0, False, False)
+        x_366 = None
+        x_368 = torch._C._nn.linear(
+            x_367,
+            l_self_modules_head_parameters_weight_,
+            l_self_modules_head_parameters_bias_,
+        )
+        x_367 = (
+            l_self_modules_head_parameters_weight_
+        ) = l_self_modules_head_parameters_bias_ = None
+        return (x_368,)
diff --git a/samples/timm/eva02_large_patch14_clip_224.merged2b/weight_meta.py b/samples/timm/eva02_large_patch14_clip_224.merged2b/weight_meta.py
new file mode 100644
index 000000000..79e740328
--- /dev/null
+++ b/samples/timm/eva02_large_patch14_clip_224.merged2b/weight_meta.py
@@ -0,0 +1,5514 @@
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [1024, 3, 14, 14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_pos_embed_:
+    name = "L_self_parameters_pos_embed_"
+    shape = [1, 257, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_rope_buffers_pos_embed_:
+    name = "L_self_modules_rope_buffers_pos_embed_"
+    shape = [256, 128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.448
+    std = 0.547
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_cls_token_:
+    name = "L_self_parameters_cls_token_"
+    shape = [1, 1, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_k_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_weight_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_q_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_k_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_weight_"
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_v_proj_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_weight_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1024, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_g_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_weight_"
+    )
+    shape = [2730, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_x_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_weight_"
+    )
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_norm_parameters_bias_"
+    shape = [2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 2730]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_weight_:
+    name = "L_self_modules_head_parameters_weight_"
+    shape = [768, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_bias_:
+    name = "L_self_modules_head_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/eva02_small_patch14_224.mim_in22k/graph_hash.txt b/samples/timm/eva02_small_patch14_224.mim_in22k/graph_hash.txt
new file mode 100644
index 000000000..9a39aa5cd
--- /dev/null
+++ b/samples/timm/eva02_small_patch14_224.mim_in22k/graph_hash.txt
@@ -0,0 +1 @@
+edc2680acf6ab93a39b5116fdc67eeb2871242ea422aa56987792792f60958c3
\ No newline at end of file
diff --git a/samples/timm/eva02_small_patch14_224.mim_in22k/graph_net.json b/samples/timm/eva02_small_patch14_224.mim_in22k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/eva02_small_patch14_224.mim_in22k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/eva02_small_patch14_224.mim_in22k/input_meta.py b/samples/timm/eva02_small_patch14_224.mim_in22k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_small_patch14_224.mim_in22k/input_tensor_constraints.py b/samples/timm/eva02_small_patch14_224.mim_in22k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_small_patch14_224.mim_in22k/model.py b/samples/timm/eva02_small_patch14_224.mim_in22k/model.py
new file mode 100644
index 000000000..ed32d3ad2
--- /dev/null
+++ b/samples/timm/eva02_small_patch14_224.mim_in22k/model.py
@@ -0,0 +1,2961 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_parameters_pos_embed_: torch.nn.parameter.Parameter,
+        L_self_modules_rope_buffers_pos_embed_: torch.Tensor,
+        L_self_parameters_cls_token_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_num_prefix_tokens: torch.SymInt,
+        L_self_modules_fc_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_norm_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_proj_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_bias_
+        )
+        l_self_parameters_pos_embed_ = L_self_parameters_pos_embed_
+        l_self_modules_rope_buffers_pos_embed_ = L_self_modules_rope_buffers_pos_embed_
+        l_self_parameters_cls_token_ = L_self_parameters_cls_token_
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_num_prefix_tokens = L_self_num_prefix_tokens
+        l_self_modules_fc_norm_parameters_weight_ = (
+            L_self_modules_fc_norm_parameters_weight_
+        )
+        l_self_modules_fc_norm_parameters_bias_ = (
+            L_self_modules_fc_norm_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            l_self_modules_patch_embed_modules_proj_parameters_bias_,
+            (14, 14),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_patch_embed_modules_proj_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_proj_parameters_bias_ = None
+        flatten = x.flatten(2)
+        x = None
+        x_1 = flatten.transpose(1, 2)
+        flatten = None
+        expand = l_self_parameters_cls_token_.expand(1, -1, -1)
+        l_self_parameters_cls_token_ = None
+        x_2 = torch.cat([expand, x_1], dim=1)
+        expand = x_1 = None
+        x_3 = x_2 + l_self_parameters_pos_embed_
+        x_2 = l_self_parameters_pos_embed_ = None
+        x_4 = torch.nn.functional.dropout(x_3, 0.0, False, False)
+        x_3 = None
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (384,),
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias = torch.cat(
+            (
+                l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_ = None
+        qkv = torch._C._nn.linear(
+            x_5,
+            weight=l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias = None
+        reshape = qkv.reshape(1, 257, 3, 6, -1)
+        qkv = None
+        qkv_1 = reshape.permute(2, 0, 3, 1, 4)
+        reshape = None
+        unbind = qkv_1.unbind(0)
+        qkv_1 = None
+        q = unbind[0]
+        k = unbind[1]
+        v = unbind[2]
+        unbind = None
+        getitem_7 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_8 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q = None
+        tensor_split = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb = tensor_split[0]
+        cos_emb = tensor_split[1]
+        tensor_split = None
+        mul = getitem_8 * cos_emb
+        cos_emb = None
+        getitem_11 = getitem_8[(Ellipsis, slice(1, None, 2))]
+        neg = -getitem_11
+        getitem_11 = None
+        getitem_12 = getitem_8[(Ellipsis, slice(None, None, 2))]
+        getitem_8 = None
+        stack = torch.stack([neg, getitem_12], -1)
+        neg = getitem_12 = None
+        reshape_1 = stack.reshape((1, 6, 256, 64))
+        stack = None
+        mul_1 = reshape_1 * sin_emb
+        reshape_1 = sin_emb = None
+        add_1 = mul + mul_1
+        mul = mul_1 = None
+        cat_2 = torch.cat([getitem_7, add_1], dim=2)
+        getitem_7 = add_1 = None
+        q_1 = cat_2.type_as(v)
+        cat_2 = None
+        getitem_13 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_14 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k = None
+        tensor_split_1 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_1 = tensor_split_1[0]
+        cos_emb_1 = tensor_split_1[1]
+        tensor_split_1 = None
+        mul_2 = getitem_14 * cos_emb_1
+        cos_emb_1 = None
+        getitem_17 = getitem_14[(Ellipsis, slice(1, None, 2))]
+        neg_1 = -getitem_17
+        getitem_17 = None
+        getitem_18 = getitem_14[(Ellipsis, slice(None, None, 2))]
+        getitem_14 = None
+        stack_1 = torch.stack([neg_1, getitem_18], -1)
+        neg_1 = getitem_18 = None
+        reshape_2 = stack_1.reshape((1, 6, 256, 64))
+        stack_1 = None
+        mul_3 = reshape_2 * sin_emb_1
+        reshape_2 = sin_emb_1 = None
+        add_2 = mul_2 + mul_3
+        mul_2 = mul_3 = None
+        cat_3 = torch.cat([getitem_13, add_2], dim=2)
+        getitem_13 = add_2 = None
+        k_1 = cat_3.type_as(v)
+        cat_3 = None
+        x_6 = torch._C._nn.scaled_dot_product_attention(
+            q_1, k_1, v, attn_mask=None, dropout_p=0.0
+        )
+        q_1 = k_1 = v = None
+        transpose_1 = x_6.transpose(1, 2)
+        x_6 = None
+        x_7 = transpose_1.reshape(1, 257, 384)
+        transpose_1 = None
+        x_8 = torch._C._nn.linear(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_9 = torch.nn.functional.dropout(x_8, 0.0, False, False)
+        x_8 = None
+        x_10 = x_4 + x_9
+        x_4 = x_9 = None
+        x_11 = torch.nn.functional.layer_norm(
+            x_10,
+            (384,),
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        ) = None
+        x_12 = torch._C._nn.linear(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk = x_12.chunk(2, dim=-1)
+        x_12 = None
+        x1 = chunk[0]
+        x2 = chunk[1]
+        chunk = None
+        silu = torch.nn.functional.silu(x1, inplace=False)
+        x1 = None
+        x_13 = silu * x2
+        silu = x2 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch._C._nn.linear(
+            x_14,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_10 + x_16
+        x_10 = x_16 = None
+        x_18 = torch.nn.functional.layer_norm(
+            x_17,
+            (384,),
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_1 = torch.cat(
+            (
+                l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_ = None
+        qkv_2 = torch._C._nn.linear(
+            x_18,
+            weight=l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_1,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_1 = None
+        reshape_4 = qkv_2.reshape(1, 257, 3, 6, -1)
+        qkv_2 = None
+        qkv_3 = reshape_4.permute(2, 0, 3, 1, 4)
+        reshape_4 = None
+        unbind_1 = qkv_3.unbind(0)
+        qkv_3 = None
+        q_2 = unbind_1[0]
+        k_2 = unbind_1[1]
+        v_1 = unbind_1[2]
+        unbind_1 = None
+        getitem_24 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_25 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_2 = None
+        tensor_split_2 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_2 = tensor_split_2[0]
+        cos_emb_2 = tensor_split_2[1]
+        tensor_split_2 = None
+        mul_5 = getitem_25 * cos_emb_2
+        cos_emb_2 = None
+        getitem_28 = getitem_25[(Ellipsis, slice(1, None, 2))]
+        neg_2 = -getitem_28
+        getitem_28 = None
+        getitem_29 = getitem_25[(Ellipsis, slice(None, None, 2))]
+        getitem_25 = None
+        stack_2 = torch.stack([neg_2, getitem_29], -1)
+        neg_2 = getitem_29 = None
+        reshape_5 = stack_2.reshape((1, 6, 256, 64))
+        stack_2 = None
+        mul_6 = reshape_5 * sin_emb_2
+        reshape_5 = sin_emb_2 = None
+        add_5 = mul_5 + mul_6
+        mul_5 = mul_6 = None
+        cat_5 = torch.cat([getitem_24, add_5], dim=2)
+        getitem_24 = add_5 = None
+        q_3 = cat_5.type_as(v_1)
+        cat_5 = None
+        getitem_30 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_31 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_2 = None
+        tensor_split_3 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_3 = tensor_split_3[0]
+        cos_emb_3 = tensor_split_3[1]
+        tensor_split_3 = None
+        mul_7 = getitem_31 * cos_emb_3
+        cos_emb_3 = None
+        getitem_34 = getitem_31[(Ellipsis, slice(1, None, 2))]
+        neg_3 = -getitem_34
+        getitem_34 = None
+        getitem_35 = getitem_31[(Ellipsis, slice(None, None, 2))]
+        getitem_31 = None
+        stack_3 = torch.stack([neg_3, getitem_35], -1)
+        neg_3 = getitem_35 = None
+        reshape_6 = stack_3.reshape((1, 6, 256, 64))
+        stack_3 = None
+        mul_8 = reshape_6 * sin_emb_3
+        reshape_6 = sin_emb_3 = None
+        add_6 = mul_7 + mul_8
+        mul_7 = mul_8 = None
+        cat_6 = torch.cat([getitem_30, add_6], dim=2)
+        getitem_30 = add_6 = None
+        k_3 = cat_6.type_as(v_1)
+        cat_6 = None
+        x_19 = torch._C._nn.scaled_dot_product_attention(
+            q_3, k_3, v_1, attn_mask=None, dropout_p=0.0
+        )
+        q_3 = k_3 = v_1 = None
+        transpose_2 = x_19.transpose(1, 2)
+        x_19 = None
+        x_20 = transpose_2.reshape(1, 257, 384)
+        transpose_2 = None
+        x_21 = torch._C._nn.linear(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_22 = torch.nn.functional.dropout(x_21, 0.0, False, False)
+        x_21 = None
+        x_23 = x_17 + x_22
+        x_17 = x_22 = None
+        x_24 = torch.nn.functional.layer_norm(
+            x_23,
+            (384,),
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        ) = None
+        x_25 = torch._C._nn.linear(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_1 = x_25.chunk(2, dim=-1)
+        x_25 = None
+        x1_1 = chunk_1[0]
+        x2_1 = chunk_1[1]
+        chunk_1 = None
+        silu_1 = torch.nn.functional.silu(x1_1, inplace=False)
+        x1_1 = None
+        x_26 = silu_1 * x2_1
+        silu_1 = x2_1 = None
+        x_27 = torch.nn.functional.dropout(x_26, 0.0, False, False)
+        x_26 = None
+        x_28 = torch._C._nn.linear(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_29 = torch.nn.functional.dropout(x_28, 0.0, False, False)
+        x_28 = None
+        x_30 = x_23 + x_29
+        x_23 = x_29 = None
+        x_31 = torch.nn.functional.layer_norm(
+            x_30,
+            (384,),
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_2 = torch.cat(
+            (
+                l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_ = None
+        qkv_4 = torch._C._nn.linear(
+            x_31,
+            weight=l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_2,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_2 = None
+        reshape_8 = qkv_4.reshape(1, 257, 3, 6, -1)
+        qkv_4 = None
+        qkv_5 = reshape_8.permute(2, 0, 3, 1, 4)
+        reshape_8 = None
+        unbind_2 = qkv_5.unbind(0)
+        qkv_5 = None
+        q_4 = unbind_2[0]
+        k_4 = unbind_2[1]
+        v_2 = unbind_2[2]
+        unbind_2 = None
+        getitem_41 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_42 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_4 = None
+        tensor_split_4 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_4 = tensor_split_4[0]
+        cos_emb_4 = tensor_split_4[1]
+        tensor_split_4 = None
+        mul_10 = getitem_42 * cos_emb_4
+        cos_emb_4 = None
+        getitem_45 = getitem_42[(Ellipsis, slice(1, None, 2))]
+        neg_4 = -getitem_45
+        getitem_45 = None
+        getitem_46 = getitem_42[(Ellipsis, slice(None, None, 2))]
+        getitem_42 = None
+        stack_4 = torch.stack([neg_4, getitem_46], -1)
+        neg_4 = getitem_46 = None
+        reshape_9 = stack_4.reshape((1, 6, 256, 64))
+        stack_4 = None
+        mul_11 = reshape_9 * sin_emb_4
+        reshape_9 = sin_emb_4 = None
+        add_9 = mul_10 + mul_11
+        mul_10 = mul_11 = None
+        cat_8 = torch.cat([getitem_41, add_9], dim=2)
+        getitem_41 = add_9 = None
+        q_5 = cat_8.type_as(v_2)
+        cat_8 = None
+        getitem_47 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_48 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_4 = None
+        tensor_split_5 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_5 = tensor_split_5[0]
+        cos_emb_5 = tensor_split_5[1]
+        tensor_split_5 = None
+        mul_12 = getitem_48 * cos_emb_5
+        cos_emb_5 = None
+        getitem_51 = getitem_48[(Ellipsis, slice(1, None, 2))]
+        neg_5 = -getitem_51
+        getitem_51 = None
+        getitem_52 = getitem_48[(Ellipsis, slice(None, None, 2))]
+        getitem_48 = None
+        stack_5 = torch.stack([neg_5, getitem_52], -1)
+        neg_5 = getitem_52 = None
+        reshape_10 = stack_5.reshape((1, 6, 256, 64))
+        stack_5 = None
+        mul_13 = reshape_10 * sin_emb_5
+        reshape_10 = sin_emb_5 = None
+        add_10 = mul_12 + mul_13
+        mul_12 = mul_13 = None
+        cat_9 = torch.cat([getitem_47, add_10], dim=2)
+        getitem_47 = add_10 = None
+        k_5 = cat_9.type_as(v_2)
+        cat_9 = None
+        x_32 = torch._C._nn.scaled_dot_product_attention(
+            q_5, k_5, v_2, attn_mask=None, dropout_p=0.0
+        )
+        q_5 = k_5 = v_2 = None
+        transpose_3 = x_32.transpose(1, 2)
+        x_32 = None
+        x_33 = transpose_3.reshape(1, 257, 384)
+        transpose_3 = None
+        x_34 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_33 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_35 = torch.nn.functional.dropout(x_34, 0.0, False, False)
+        x_34 = None
+        x_36 = x_30 + x_35
+        x_30 = x_35 = None
+        x_37 = torch.nn.functional.layer_norm(
+            x_36,
+            (384,),
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        ) = None
+        x_38 = torch._C._nn.linear(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_2 = x_38.chunk(2, dim=-1)
+        x_38 = None
+        x1_2 = chunk_2[0]
+        x2_2 = chunk_2[1]
+        chunk_2 = None
+        silu_2 = torch.nn.functional.silu(x1_2, inplace=False)
+        x1_2 = None
+        x_39 = silu_2 * x2_2
+        silu_2 = x2_2 = None
+        x_40 = torch.nn.functional.dropout(x_39, 0.0, False, False)
+        x_39 = None
+        x_41 = torch._C._nn.linear(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_40 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_42 = torch.nn.functional.dropout(x_41, 0.0, False, False)
+        x_41 = None
+        x_43 = x_36 + x_42
+        x_36 = x_42 = None
+        x_44 = torch.nn.functional.layer_norm(
+            x_43,
+            (384,),
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_3 = torch.cat(
+            (
+                l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_ = None
+        qkv_6 = torch._C._nn.linear(
+            x_44,
+            weight=l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_3,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_3 = None
+        reshape_12 = qkv_6.reshape(1, 257, 3, 6, -1)
+        qkv_6 = None
+        qkv_7 = reshape_12.permute(2, 0, 3, 1, 4)
+        reshape_12 = None
+        unbind_3 = qkv_7.unbind(0)
+        qkv_7 = None
+        q_6 = unbind_3[0]
+        k_6 = unbind_3[1]
+        v_3 = unbind_3[2]
+        unbind_3 = None
+        getitem_58 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_59 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_6 = None
+        tensor_split_6 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_6 = tensor_split_6[0]
+        cos_emb_6 = tensor_split_6[1]
+        tensor_split_6 = None
+        mul_15 = getitem_59 * cos_emb_6
+        cos_emb_6 = None
+        getitem_62 = getitem_59[(Ellipsis, slice(1, None, 2))]
+        neg_6 = -getitem_62
+        getitem_62 = None
+        getitem_63 = getitem_59[(Ellipsis, slice(None, None, 2))]
+        getitem_59 = None
+        stack_6 = torch.stack([neg_6, getitem_63], -1)
+        neg_6 = getitem_63 = None
+        reshape_13 = stack_6.reshape((1, 6, 256, 64))
+        stack_6 = None
+        mul_16 = reshape_13 * sin_emb_6
+        reshape_13 = sin_emb_6 = None
+        add_13 = mul_15 + mul_16
+        mul_15 = mul_16 = None
+        cat_11 = torch.cat([getitem_58, add_13], dim=2)
+        getitem_58 = add_13 = None
+        q_7 = cat_11.type_as(v_3)
+        cat_11 = None
+        getitem_64 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_65 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_6 = None
+        tensor_split_7 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_7 = tensor_split_7[0]
+        cos_emb_7 = tensor_split_7[1]
+        tensor_split_7 = None
+        mul_17 = getitem_65 * cos_emb_7
+        cos_emb_7 = None
+        getitem_68 = getitem_65[(Ellipsis, slice(1, None, 2))]
+        neg_7 = -getitem_68
+        getitem_68 = None
+        getitem_69 = getitem_65[(Ellipsis, slice(None, None, 2))]
+        getitem_65 = None
+        stack_7 = torch.stack([neg_7, getitem_69], -1)
+        neg_7 = getitem_69 = None
+        reshape_14 = stack_7.reshape((1, 6, 256, 64))
+        stack_7 = None
+        mul_18 = reshape_14 * sin_emb_7
+        reshape_14 = sin_emb_7 = None
+        add_14 = mul_17 + mul_18
+        mul_17 = mul_18 = None
+        cat_12 = torch.cat([getitem_64, add_14], dim=2)
+        getitem_64 = add_14 = None
+        k_7 = cat_12.type_as(v_3)
+        cat_12 = None
+        x_45 = torch._C._nn.scaled_dot_product_attention(
+            q_7, k_7, v_3, attn_mask=None, dropout_p=0.0
+        )
+        q_7 = k_7 = v_3 = None
+        transpose_4 = x_45.transpose(1, 2)
+        x_45 = None
+        x_46 = transpose_4.reshape(1, 257, 384)
+        transpose_4 = None
+        x_47 = torch._C._nn.linear(
+            x_46,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_43 + x_48
+        x_43 = x_48 = None
+        x_50 = torch.nn.functional.layer_norm(
+            x_49,
+            (384,),
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        ) = None
+        x_51 = torch._C._nn.linear(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_50 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_3 = x_51.chunk(2, dim=-1)
+        x_51 = None
+        x1_3 = chunk_3[0]
+        x2_3 = chunk_3[1]
+        chunk_3 = None
+        silu_3 = torch.nn.functional.silu(x1_3, inplace=False)
+        x1_3 = None
+        x_52 = silu_3 * x2_3
+        silu_3 = x2_3 = None
+        x_53 = torch.nn.functional.dropout(x_52, 0.0, False, False)
+        x_52 = None
+        x_54 = torch._C._nn.linear(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.dropout(x_54, 0.0, False, False)
+        x_54 = None
+        x_56 = x_49 + x_55
+        x_49 = x_55 = None
+        x_57 = torch.nn.functional.layer_norm(
+            x_56,
+            (384,),
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_4 = torch.cat(
+            (
+                l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_ = None
+        qkv_8 = torch._C._nn.linear(
+            x_57,
+            weight=l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_4,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_4 = None
+        reshape_16 = qkv_8.reshape(1, 257, 3, 6, -1)
+        qkv_8 = None
+        qkv_9 = reshape_16.permute(2, 0, 3, 1, 4)
+        reshape_16 = None
+        unbind_4 = qkv_9.unbind(0)
+        qkv_9 = None
+        q_8 = unbind_4[0]
+        k_8 = unbind_4[1]
+        v_4 = unbind_4[2]
+        unbind_4 = None
+        getitem_75 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_76 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_8 = None
+        tensor_split_8 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_8 = tensor_split_8[0]
+        cos_emb_8 = tensor_split_8[1]
+        tensor_split_8 = None
+        mul_20 = getitem_76 * cos_emb_8
+        cos_emb_8 = None
+        getitem_79 = getitem_76[(Ellipsis, slice(1, None, 2))]
+        neg_8 = -getitem_79
+        getitem_79 = None
+        getitem_80 = getitem_76[(Ellipsis, slice(None, None, 2))]
+        getitem_76 = None
+        stack_8 = torch.stack([neg_8, getitem_80], -1)
+        neg_8 = getitem_80 = None
+        reshape_17 = stack_8.reshape((1, 6, 256, 64))
+        stack_8 = None
+        mul_21 = reshape_17 * sin_emb_8
+        reshape_17 = sin_emb_8 = None
+        add_17 = mul_20 + mul_21
+        mul_20 = mul_21 = None
+        cat_14 = torch.cat([getitem_75, add_17], dim=2)
+        getitem_75 = add_17 = None
+        q_9 = cat_14.type_as(v_4)
+        cat_14 = None
+        getitem_81 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_82 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_8 = None
+        tensor_split_9 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_9 = tensor_split_9[0]
+        cos_emb_9 = tensor_split_9[1]
+        tensor_split_9 = None
+        mul_22 = getitem_82 * cos_emb_9
+        cos_emb_9 = None
+        getitem_85 = getitem_82[(Ellipsis, slice(1, None, 2))]
+        neg_9 = -getitem_85
+        getitem_85 = None
+        getitem_86 = getitem_82[(Ellipsis, slice(None, None, 2))]
+        getitem_82 = None
+        stack_9 = torch.stack([neg_9, getitem_86], -1)
+        neg_9 = getitem_86 = None
+        reshape_18 = stack_9.reshape((1, 6, 256, 64))
+        stack_9 = None
+        mul_23 = reshape_18 * sin_emb_9
+        reshape_18 = sin_emb_9 = None
+        add_18 = mul_22 + mul_23
+        mul_22 = mul_23 = None
+        cat_15 = torch.cat([getitem_81, add_18], dim=2)
+        getitem_81 = add_18 = None
+        k_9 = cat_15.type_as(v_4)
+        cat_15 = None
+        x_58 = torch._C._nn.scaled_dot_product_attention(
+            q_9, k_9, v_4, attn_mask=None, dropout_p=0.0
+        )
+        q_9 = k_9 = v_4 = None
+        transpose_5 = x_58.transpose(1, 2)
+        x_58 = None
+        x_59 = transpose_5.reshape(1, 257, 384)
+        transpose_5 = None
+        x_60 = torch._C._nn.linear(
+            x_59,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.dropout(x_60, 0.0, False, False)
+        x_60 = None
+        x_62 = x_56 + x_61
+        x_56 = x_61 = None
+        x_63 = torch.nn.functional.layer_norm(
+            x_62,
+            (384,),
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        ) = None
+        x_64 = torch._C._nn.linear(
+            x_63,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_4 = x_64.chunk(2, dim=-1)
+        x_64 = None
+        x1_4 = chunk_4[0]
+        x2_4 = chunk_4[1]
+        chunk_4 = None
+        silu_4 = torch.nn.functional.silu(x1_4, inplace=False)
+        x1_4 = None
+        x_65 = silu_4 * x2_4
+        silu_4 = x2_4 = None
+        x_66 = torch.nn.functional.dropout(x_65, 0.0, False, False)
+        x_65 = None
+        x_67 = torch._C._nn.linear(
+            x_66,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_68 = torch.nn.functional.dropout(x_67, 0.0, False, False)
+        x_67 = None
+        x_69 = x_62 + x_68
+        x_62 = x_68 = None
+        x_70 = torch.nn.functional.layer_norm(
+            x_69,
+            (384,),
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_5 = torch.cat(
+            (
+                l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_ = None
+        qkv_10 = torch._C._nn.linear(
+            x_70,
+            weight=l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_5,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_5 = None
+        reshape_20 = qkv_10.reshape(1, 257, 3, 6, -1)
+        qkv_10 = None
+        qkv_11 = reshape_20.permute(2, 0, 3, 1, 4)
+        reshape_20 = None
+        unbind_5 = qkv_11.unbind(0)
+        qkv_11 = None
+        q_10 = unbind_5[0]
+        k_10 = unbind_5[1]
+        v_5 = unbind_5[2]
+        unbind_5 = None
+        getitem_92 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_93 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_10 = None
+        tensor_split_10 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_10 = tensor_split_10[0]
+        cos_emb_10 = tensor_split_10[1]
+        tensor_split_10 = None
+        mul_25 = getitem_93 * cos_emb_10
+        cos_emb_10 = None
+        getitem_96 = getitem_93[(Ellipsis, slice(1, None, 2))]
+        neg_10 = -getitem_96
+        getitem_96 = None
+        getitem_97 = getitem_93[(Ellipsis, slice(None, None, 2))]
+        getitem_93 = None
+        stack_10 = torch.stack([neg_10, getitem_97], -1)
+        neg_10 = getitem_97 = None
+        reshape_21 = stack_10.reshape((1, 6, 256, 64))
+        stack_10 = None
+        mul_26 = reshape_21 * sin_emb_10
+        reshape_21 = sin_emb_10 = None
+        add_21 = mul_25 + mul_26
+        mul_25 = mul_26 = None
+        cat_17 = torch.cat([getitem_92, add_21], dim=2)
+        getitem_92 = add_21 = None
+        q_11 = cat_17.type_as(v_5)
+        cat_17 = None
+        getitem_98 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_99 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_10 = None
+        tensor_split_11 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_11 = tensor_split_11[0]
+        cos_emb_11 = tensor_split_11[1]
+        tensor_split_11 = None
+        mul_27 = getitem_99 * cos_emb_11
+        cos_emb_11 = None
+        getitem_102 = getitem_99[(Ellipsis, slice(1, None, 2))]
+        neg_11 = -getitem_102
+        getitem_102 = None
+        getitem_103 = getitem_99[(Ellipsis, slice(None, None, 2))]
+        getitem_99 = None
+        stack_11 = torch.stack([neg_11, getitem_103], -1)
+        neg_11 = getitem_103 = None
+        reshape_22 = stack_11.reshape((1, 6, 256, 64))
+        stack_11 = None
+        mul_28 = reshape_22 * sin_emb_11
+        reshape_22 = sin_emb_11 = None
+        add_22 = mul_27 + mul_28
+        mul_27 = mul_28 = None
+        cat_18 = torch.cat([getitem_98, add_22], dim=2)
+        getitem_98 = add_22 = None
+        k_11 = cat_18.type_as(v_5)
+        cat_18 = None
+        x_71 = torch._C._nn.scaled_dot_product_attention(
+            q_11, k_11, v_5, attn_mask=None, dropout_p=0.0
+        )
+        q_11 = k_11 = v_5 = None
+        transpose_6 = x_71.transpose(1, 2)
+        x_71 = None
+        x_72 = transpose_6.reshape(1, 257, 384)
+        transpose_6 = None
+        x_73 = torch._C._nn.linear(
+            x_72,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_74 = torch.nn.functional.dropout(x_73, 0.0, False, False)
+        x_73 = None
+        x_75 = x_69 + x_74
+        x_69 = x_74 = None
+        x_76 = torch.nn.functional.layer_norm(
+            x_75,
+            (384,),
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        ) = None
+        x_77 = torch._C._nn.linear(
+            x_76,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_5 = x_77.chunk(2, dim=-1)
+        x_77 = None
+        x1_5 = chunk_5[0]
+        x2_5 = chunk_5[1]
+        chunk_5 = None
+        silu_5 = torch.nn.functional.silu(x1_5, inplace=False)
+        x1_5 = None
+        x_78 = silu_5 * x2_5
+        silu_5 = x2_5 = None
+        x_79 = torch.nn.functional.dropout(x_78, 0.0, False, False)
+        x_78 = None
+        x_80 = torch._C._nn.linear(
+            x_79,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.dropout(x_80, 0.0, False, False)
+        x_80 = None
+        x_82 = x_75 + x_81
+        x_75 = x_81 = None
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (384,),
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_6 = torch.cat(
+            (
+                l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_ = None
+        qkv_12 = torch._C._nn.linear(
+            x_83,
+            weight=l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_6,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_6 = None
+        reshape_24 = qkv_12.reshape(1, 257, 3, 6, -1)
+        qkv_12 = None
+        qkv_13 = reshape_24.permute(2, 0, 3, 1, 4)
+        reshape_24 = None
+        unbind_6 = qkv_13.unbind(0)
+        qkv_13 = None
+        q_12 = unbind_6[0]
+        k_12 = unbind_6[1]
+        v_6 = unbind_6[2]
+        unbind_6 = None
+        getitem_109 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_110 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_12 = None
+        tensor_split_12 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_12 = tensor_split_12[0]
+        cos_emb_12 = tensor_split_12[1]
+        tensor_split_12 = None
+        mul_30 = getitem_110 * cos_emb_12
+        cos_emb_12 = None
+        getitem_113 = getitem_110[(Ellipsis, slice(1, None, 2))]
+        neg_12 = -getitem_113
+        getitem_113 = None
+        getitem_114 = getitem_110[(Ellipsis, slice(None, None, 2))]
+        getitem_110 = None
+        stack_12 = torch.stack([neg_12, getitem_114], -1)
+        neg_12 = getitem_114 = None
+        reshape_25 = stack_12.reshape((1, 6, 256, 64))
+        stack_12 = None
+        mul_31 = reshape_25 * sin_emb_12
+        reshape_25 = sin_emb_12 = None
+        add_25 = mul_30 + mul_31
+        mul_30 = mul_31 = None
+        cat_20 = torch.cat([getitem_109, add_25], dim=2)
+        getitem_109 = add_25 = None
+        q_13 = cat_20.type_as(v_6)
+        cat_20 = None
+        getitem_115 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_116 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_12 = None
+        tensor_split_13 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_13 = tensor_split_13[0]
+        cos_emb_13 = tensor_split_13[1]
+        tensor_split_13 = None
+        mul_32 = getitem_116 * cos_emb_13
+        cos_emb_13 = None
+        getitem_119 = getitem_116[(Ellipsis, slice(1, None, 2))]
+        neg_13 = -getitem_119
+        getitem_119 = None
+        getitem_120 = getitem_116[(Ellipsis, slice(None, None, 2))]
+        getitem_116 = None
+        stack_13 = torch.stack([neg_13, getitem_120], -1)
+        neg_13 = getitem_120 = None
+        reshape_26 = stack_13.reshape((1, 6, 256, 64))
+        stack_13 = None
+        mul_33 = reshape_26 * sin_emb_13
+        reshape_26 = sin_emb_13 = None
+        add_26 = mul_32 + mul_33
+        mul_32 = mul_33 = None
+        cat_21 = torch.cat([getitem_115, add_26], dim=2)
+        getitem_115 = add_26 = None
+        k_13 = cat_21.type_as(v_6)
+        cat_21 = None
+        x_84 = torch._C._nn.scaled_dot_product_attention(
+            q_13, k_13, v_6, attn_mask=None, dropout_p=0.0
+        )
+        q_13 = k_13 = v_6 = None
+        transpose_7 = x_84.transpose(1, 2)
+        x_84 = None
+        x_85 = transpose_7.reshape(1, 257, 384)
+        transpose_7 = None
+        x_86 = torch._C._nn.linear(
+            x_85,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.dropout(x_86, 0.0, False, False)
+        x_86 = None
+        x_88 = x_82 + x_87
+        x_82 = x_87 = None
+        x_89 = torch.nn.functional.layer_norm(
+            x_88,
+            (384,),
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        ) = None
+        x_90 = torch._C._nn.linear(
+            x_89,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_89 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_6 = x_90.chunk(2, dim=-1)
+        x_90 = None
+        x1_6 = chunk_6[0]
+        x2_6 = chunk_6[1]
+        chunk_6 = None
+        silu_6 = torch.nn.functional.silu(x1_6, inplace=False)
+        x1_6 = None
+        x_91 = silu_6 * x2_6
+        silu_6 = x2_6 = None
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = torch._C._nn.linear(
+            x_92,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_94 = torch.nn.functional.dropout(x_93, 0.0, False, False)
+        x_93 = None
+        x_95 = x_88 + x_94
+        x_88 = x_94 = None
+        x_96 = torch.nn.functional.layer_norm(
+            x_95,
+            (384,),
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_7 = torch.cat(
+            (
+                l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_ = None
+        qkv_14 = torch._C._nn.linear(
+            x_96,
+            weight=l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_7,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_7 = None
+        reshape_28 = qkv_14.reshape(1, 257, 3, 6, -1)
+        qkv_14 = None
+        qkv_15 = reshape_28.permute(2, 0, 3, 1, 4)
+        reshape_28 = None
+        unbind_7 = qkv_15.unbind(0)
+        qkv_15 = None
+        q_14 = unbind_7[0]
+        k_14 = unbind_7[1]
+        v_7 = unbind_7[2]
+        unbind_7 = None
+        getitem_126 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_127 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_14 = None
+        tensor_split_14 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_14 = tensor_split_14[0]
+        cos_emb_14 = tensor_split_14[1]
+        tensor_split_14 = None
+        mul_35 = getitem_127 * cos_emb_14
+        cos_emb_14 = None
+        getitem_130 = getitem_127[(Ellipsis, slice(1, None, 2))]
+        neg_14 = -getitem_130
+        getitem_130 = None
+        getitem_131 = getitem_127[(Ellipsis, slice(None, None, 2))]
+        getitem_127 = None
+        stack_14 = torch.stack([neg_14, getitem_131], -1)
+        neg_14 = getitem_131 = None
+        reshape_29 = stack_14.reshape((1, 6, 256, 64))
+        stack_14 = None
+        mul_36 = reshape_29 * sin_emb_14
+        reshape_29 = sin_emb_14 = None
+        add_29 = mul_35 + mul_36
+        mul_35 = mul_36 = None
+        cat_23 = torch.cat([getitem_126, add_29], dim=2)
+        getitem_126 = add_29 = None
+        q_15 = cat_23.type_as(v_7)
+        cat_23 = None
+        getitem_132 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_133 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_14 = None
+        tensor_split_15 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_15 = tensor_split_15[0]
+        cos_emb_15 = tensor_split_15[1]
+        tensor_split_15 = None
+        mul_37 = getitem_133 * cos_emb_15
+        cos_emb_15 = None
+        getitem_136 = getitem_133[(Ellipsis, slice(1, None, 2))]
+        neg_15 = -getitem_136
+        getitem_136 = None
+        getitem_137 = getitem_133[(Ellipsis, slice(None, None, 2))]
+        getitem_133 = None
+        stack_15 = torch.stack([neg_15, getitem_137], -1)
+        neg_15 = getitem_137 = None
+        reshape_30 = stack_15.reshape((1, 6, 256, 64))
+        stack_15 = None
+        mul_38 = reshape_30 * sin_emb_15
+        reshape_30 = sin_emb_15 = None
+        add_30 = mul_37 + mul_38
+        mul_37 = mul_38 = None
+        cat_24 = torch.cat([getitem_132, add_30], dim=2)
+        getitem_132 = add_30 = None
+        k_15 = cat_24.type_as(v_7)
+        cat_24 = None
+        x_97 = torch._C._nn.scaled_dot_product_attention(
+            q_15, k_15, v_7, attn_mask=None, dropout_p=0.0
+        )
+        q_15 = k_15 = v_7 = None
+        transpose_8 = x_97.transpose(1, 2)
+        x_97 = None
+        x_98 = transpose_8.reshape(1, 257, 384)
+        transpose_8 = None
+        x_99 = torch._C._nn.linear(
+            x_98,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_100 = torch.nn.functional.dropout(x_99, 0.0, False, False)
+        x_99 = None
+        x_101 = x_95 + x_100
+        x_95 = x_100 = None
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (384,),
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        ) = None
+        x_103 = torch._C._nn.linear(
+            x_102,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_7 = x_103.chunk(2, dim=-1)
+        x_103 = None
+        x1_7 = chunk_7[0]
+        x2_7 = chunk_7[1]
+        chunk_7 = None
+        silu_7 = torch.nn.functional.silu(x1_7, inplace=False)
+        x1_7 = None
+        x_104 = silu_7 * x2_7
+        silu_7 = x2_7 = None
+        x_105 = torch.nn.functional.dropout(x_104, 0.0, False, False)
+        x_104 = None
+        x_106 = torch._C._nn.linear(
+            x_105,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_107 = torch.nn.functional.dropout(x_106, 0.0, False, False)
+        x_106 = None
+        x_108 = x_101 + x_107
+        x_101 = x_107 = None
+        x_109 = torch.nn.functional.layer_norm(
+            x_108,
+            (384,),
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_8 = torch.cat(
+            (
+                l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_ = None
+        qkv_16 = torch._C._nn.linear(
+            x_109,
+            weight=l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_8,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_8 = None
+        reshape_32 = qkv_16.reshape(1, 257, 3, 6, -1)
+        qkv_16 = None
+        qkv_17 = reshape_32.permute(2, 0, 3, 1, 4)
+        reshape_32 = None
+        unbind_8 = qkv_17.unbind(0)
+        qkv_17 = None
+        q_16 = unbind_8[0]
+        k_16 = unbind_8[1]
+        v_8 = unbind_8[2]
+        unbind_8 = None
+        getitem_143 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_144 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_16 = None
+        tensor_split_16 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_16 = tensor_split_16[0]
+        cos_emb_16 = tensor_split_16[1]
+        tensor_split_16 = None
+        mul_40 = getitem_144 * cos_emb_16
+        cos_emb_16 = None
+        getitem_147 = getitem_144[(Ellipsis, slice(1, None, 2))]
+        neg_16 = -getitem_147
+        getitem_147 = None
+        getitem_148 = getitem_144[(Ellipsis, slice(None, None, 2))]
+        getitem_144 = None
+        stack_16 = torch.stack([neg_16, getitem_148], -1)
+        neg_16 = getitem_148 = None
+        reshape_33 = stack_16.reshape((1, 6, 256, 64))
+        stack_16 = None
+        mul_41 = reshape_33 * sin_emb_16
+        reshape_33 = sin_emb_16 = None
+        add_33 = mul_40 + mul_41
+        mul_40 = mul_41 = None
+        cat_26 = torch.cat([getitem_143, add_33], dim=2)
+        getitem_143 = add_33 = None
+        q_17 = cat_26.type_as(v_8)
+        cat_26 = None
+        getitem_149 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_150 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_16 = None
+        tensor_split_17 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_17 = tensor_split_17[0]
+        cos_emb_17 = tensor_split_17[1]
+        tensor_split_17 = None
+        mul_42 = getitem_150 * cos_emb_17
+        cos_emb_17 = None
+        getitem_153 = getitem_150[(Ellipsis, slice(1, None, 2))]
+        neg_17 = -getitem_153
+        getitem_153 = None
+        getitem_154 = getitem_150[(Ellipsis, slice(None, None, 2))]
+        getitem_150 = None
+        stack_17 = torch.stack([neg_17, getitem_154], -1)
+        neg_17 = getitem_154 = None
+        reshape_34 = stack_17.reshape((1, 6, 256, 64))
+        stack_17 = None
+        mul_43 = reshape_34 * sin_emb_17
+        reshape_34 = sin_emb_17 = None
+        add_34 = mul_42 + mul_43
+        mul_42 = mul_43 = None
+        cat_27 = torch.cat([getitem_149, add_34], dim=2)
+        getitem_149 = add_34 = None
+        k_17 = cat_27.type_as(v_8)
+        cat_27 = None
+        x_110 = torch._C._nn.scaled_dot_product_attention(
+            q_17, k_17, v_8, attn_mask=None, dropout_p=0.0
+        )
+        q_17 = k_17 = v_8 = None
+        transpose_9 = x_110.transpose(1, 2)
+        x_110 = None
+        x_111 = transpose_9.reshape(1, 257, 384)
+        transpose_9 = None
+        x_112 = torch._C._nn.linear(
+            x_111,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_113 = torch.nn.functional.dropout(x_112, 0.0, False, False)
+        x_112 = None
+        x_114 = x_108 + x_113
+        x_108 = x_113 = None
+        x_115 = torch.nn.functional.layer_norm(
+            x_114,
+            (384,),
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        ) = None
+        x_116 = torch._C._nn.linear(
+            x_115,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_8 = x_116.chunk(2, dim=-1)
+        x_116 = None
+        x1_8 = chunk_8[0]
+        x2_8 = chunk_8[1]
+        chunk_8 = None
+        silu_8 = torch.nn.functional.silu(x1_8, inplace=False)
+        x1_8 = None
+        x_117 = silu_8 * x2_8
+        silu_8 = x2_8 = None
+        x_118 = torch.nn.functional.dropout(x_117, 0.0, False, False)
+        x_117 = None
+        x_119 = torch._C._nn.linear(
+            x_118,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = x_114 + x_120
+        x_114 = x_120 = None
+        x_122 = torch.nn.functional.layer_norm(
+            x_121,
+            (384,),
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_9 = torch.cat(
+            (
+                l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_ = None
+        qkv_18 = torch._C._nn.linear(
+            x_122,
+            weight=l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_9,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_9 = None
+        reshape_36 = qkv_18.reshape(1, 257, 3, 6, -1)
+        qkv_18 = None
+        qkv_19 = reshape_36.permute(2, 0, 3, 1, 4)
+        reshape_36 = None
+        unbind_9 = qkv_19.unbind(0)
+        qkv_19 = None
+        q_18 = unbind_9[0]
+        k_18 = unbind_9[1]
+        v_9 = unbind_9[2]
+        unbind_9 = None
+        getitem_160 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_161 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_18 = None
+        tensor_split_18 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_18 = tensor_split_18[0]
+        cos_emb_18 = tensor_split_18[1]
+        tensor_split_18 = None
+        mul_45 = getitem_161 * cos_emb_18
+        cos_emb_18 = None
+        getitem_164 = getitem_161[(Ellipsis, slice(1, None, 2))]
+        neg_18 = -getitem_164
+        getitem_164 = None
+        getitem_165 = getitem_161[(Ellipsis, slice(None, None, 2))]
+        getitem_161 = None
+        stack_18 = torch.stack([neg_18, getitem_165], -1)
+        neg_18 = getitem_165 = None
+        reshape_37 = stack_18.reshape((1, 6, 256, 64))
+        stack_18 = None
+        mul_46 = reshape_37 * sin_emb_18
+        reshape_37 = sin_emb_18 = None
+        add_37 = mul_45 + mul_46
+        mul_45 = mul_46 = None
+        cat_29 = torch.cat([getitem_160, add_37], dim=2)
+        getitem_160 = add_37 = None
+        q_19 = cat_29.type_as(v_9)
+        cat_29 = None
+        getitem_166 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_167 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_18 = None
+        tensor_split_19 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_19 = tensor_split_19[0]
+        cos_emb_19 = tensor_split_19[1]
+        tensor_split_19 = None
+        mul_47 = getitem_167 * cos_emb_19
+        cos_emb_19 = None
+        getitem_170 = getitem_167[(Ellipsis, slice(1, None, 2))]
+        neg_19 = -getitem_170
+        getitem_170 = None
+        getitem_171 = getitem_167[(Ellipsis, slice(None, None, 2))]
+        getitem_167 = None
+        stack_19 = torch.stack([neg_19, getitem_171], -1)
+        neg_19 = getitem_171 = None
+        reshape_38 = stack_19.reshape((1, 6, 256, 64))
+        stack_19 = None
+        mul_48 = reshape_38 * sin_emb_19
+        reshape_38 = sin_emb_19 = None
+        add_38 = mul_47 + mul_48
+        mul_47 = mul_48 = None
+        cat_30 = torch.cat([getitem_166, add_38], dim=2)
+        getitem_166 = add_38 = None
+        k_19 = cat_30.type_as(v_9)
+        cat_30 = None
+        x_123 = torch._C._nn.scaled_dot_product_attention(
+            q_19, k_19, v_9, attn_mask=None, dropout_p=0.0
+        )
+        q_19 = k_19 = v_9 = None
+        transpose_10 = x_123.transpose(1, 2)
+        x_123 = None
+        x_124 = transpose_10.reshape(1, 257, 384)
+        transpose_10 = None
+        x_125 = torch._C._nn.linear(
+            x_124,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.dropout(x_125, 0.0, False, False)
+        x_125 = None
+        x_127 = x_121 + x_126
+        x_121 = x_126 = None
+        x_128 = torch.nn.functional.layer_norm(
+            x_127,
+            (384,),
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        ) = None
+        x_129 = torch._C._nn.linear(
+            x_128,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_9 = x_129.chunk(2, dim=-1)
+        x_129 = None
+        x1_9 = chunk_9[0]
+        x2_9 = chunk_9[1]
+        chunk_9 = None
+        silu_9 = torch.nn.functional.silu(x1_9, inplace=False)
+        x1_9 = None
+        x_130 = silu_9 * x2_9
+        silu_9 = x2_9 = None
+        x_131 = torch.nn.functional.dropout(x_130, 0.0, False, False)
+        x_130 = None
+        x_132 = torch._C._nn.linear(
+            x_131,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_133 = torch.nn.functional.dropout(x_132, 0.0, False, False)
+        x_132 = None
+        x_134 = x_127 + x_133
+        x_127 = x_133 = None
+        x_135 = torch.nn.functional.layer_norm(
+            x_134,
+            (384,),
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_10 = torch.cat(
+            (
+                l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_ = None
+        qkv_20 = torch._C._nn.linear(
+            x_135,
+            weight=l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_10,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_10 = None
+        reshape_40 = qkv_20.reshape(1, 257, 3, 6, -1)
+        qkv_20 = None
+        qkv_21 = reshape_40.permute(2, 0, 3, 1, 4)
+        reshape_40 = None
+        unbind_10 = qkv_21.unbind(0)
+        qkv_21 = None
+        q_20 = unbind_10[0]
+        k_20 = unbind_10[1]
+        v_10 = unbind_10[2]
+        unbind_10 = None
+        getitem_177 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_178 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_20 = None
+        tensor_split_20 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_20 = tensor_split_20[0]
+        cos_emb_20 = tensor_split_20[1]
+        tensor_split_20 = None
+        mul_50 = getitem_178 * cos_emb_20
+        cos_emb_20 = None
+        getitem_181 = getitem_178[(Ellipsis, slice(1, None, 2))]
+        neg_20 = -getitem_181
+        getitem_181 = None
+        getitem_182 = getitem_178[(Ellipsis, slice(None, None, 2))]
+        getitem_178 = None
+        stack_20 = torch.stack([neg_20, getitem_182], -1)
+        neg_20 = getitem_182 = None
+        reshape_41 = stack_20.reshape((1, 6, 256, 64))
+        stack_20 = None
+        mul_51 = reshape_41 * sin_emb_20
+        reshape_41 = sin_emb_20 = None
+        add_41 = mul_50 + mul_51
+        mul_50 = mul_51 = None
+        cat_32 = torch.cat([getitem_177, add_41], dim=2)
+        getitem_177 = add_41 = None
+        q_21 = cat_32.type_as(v_10)
+        cat_32 = None
+        getitem_183 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_184 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_20 = None
+        tensor_split_21 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_21 = tensor_split_21[0]
+        cos_emb_21 = tensor_split_21[1]
+        tensor_split_21 = None
+        mul_52 = getitem_184 * cos_emb_21
+        cos_emb_21 = None
+        getitem_187 = getitem_184[(Ellipsis, slice(1, None, 2))]
+        neg_21 = -getitem_187
+        getitem_187 = None
+        getitem_188 = getitem_184[(Ellipsis, slice(None, None, 2))]
+        getitem_184 = None
+        stack_21 = torch.stack([neg_21, getitem_188], -1)
+        neg_21 = getitem_188 = None
+        reshape_42 = stack_21.reshape((1, 6, 256, 64))
+        stack_21 = None
+        mul_53 = reshape_42 * sin_emb_21
+        reshape_42 = sin_emb_21 = None
+        add_42 = mul_52 + mul_53
+        mul_52 = mul_53 = None
+        cat_33 = torch.cat([getitem_183, add_42], dim=2)
+        getitem_183 = add_42 = None
+        k_21 = cat_33.type_as(v_10)
+        cat_33 = None
+        x_136 = torch._C._nn.scaled_dot_product_attention(
+            q_21, k_21, v_10, attn_mask=None, dropout_p=0.0
+        )
+        q_21 = k_21 = v_10 = None
+        transpose_11 = x_136.transpose(1, 2)
+        x_136 = None
+        x_137 = transpose_11.reshape(1, 257, 384)
+        transpose_11 = None
+        x_138 = torch._C._nn.linear(
+            x_137,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_137 = l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_139 = torch.nn.functional.dropout(x_138, 0.0, False, False)
+        x_138 = None
+        x_140 = x_134 + x_139
+        x_134 = x_139 = None
+        x_141 = torch.nn.functional.layer_norm(
+            x_140,
+            (384,),
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        ) = None
+        x_142 = torch._C._nn.linear(
+            x_141,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_10 = x_142.chunk(2, dim=-1)
+        x_142 = None
+        x1_10 = chunk_10[0]
+        x2_10 = chunk_10[1]
+        chunk_10 = None
+        silu_10 = torch.nn.functional.silu(x1_10, inplace=False)
+        x1_10 = None
+        x_143 = silu_10 * x2_10
+        silu_10 = x2_10 = None
+        x_144 = torch.nn.functional.dropout(x_143, 0.0, False, False)
+        x_143 = None
+        x_145 = torch._C._nn.linear(
+            x_144,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_146 = torch.nn.functional.dropout(x_145, 0.0, False, False)
+        x_145 = None
+        x_147 = x_140 + x_146
+        x_140 = x_146 = None
+        x_148 = torch.nn.functional.layer_norm(
+            x_147,
+            (384,),
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_11 = torch.cat(
+            (
+                l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_ = None
+        qkv_22 = torch._C._nn.linear(
+            x_148,
+            weight=l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_11,
+        )
+        x_148 = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_11 = None
+        reshape_44 = qkv_22.reshape(1, 257, 3, 6, -1)
+        qkv_22 = None
+        qkv_23 = reshape_44.permute(2, 0, 3, 1, 4)
+        reshape_44 = None
+        unbind_11 = qkv_23.unbind(0)
+        qkv_23 = None
+        q_22 = unbind_11[0]
+        k_22 = unbind_11[1]
+        v_11 = unbind_11[2]
+        unbind_11 = None
+        getitem_194 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_195 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_22 = None
+        tensor_split_22 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_22 = tensor_split_22[0]
+        cos_emb_22 = tensor_split_22[1]
+        tensor_split_22 = None
+        mul_55 = getitem_195 * cos_emb_22
+        cos_emb_22 = None
+        getitem_198 = getitem_195[(Ellipsis, slice(1, None, 2))]
+        neg_22 = -getitem_198
+        getitem_198 = None
+        getitem_199 = getitem_195[(Ellipsis, slice(None, None, 2))]
+        getitem_195 = None
+        stack_22 = torch.stack([neg_22, getitem_199], -1)
+        neg_22 = getitem_199 = None
+        reshape_45 = stack_22.reshape((1, 6, 256, 64))
+        stack_22 = None
+        mul_56 = reshape_45 * sin_emb_22
+        reshape_45 = sin_emb_22 = None
+        add_45 = mul_55 + mul_56
+        mul_55 = mul_56 = None
+        cat_35 = torch.cat([getitem_194, add_45], dim=2)
+        getitem_194 = add_45 = None
+        q_23 = cat_35.type_as(v_11)
+        cat_35 = None
+        getitem_200 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_201 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_22 = None
+        tensor_split_23 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        l_self_modules_rope_buffers_pos_embed_ = None
+        sin_emb_23 = tensor_split_23[0]
+        cos_emb_23 = tensor_split_23[1]
+        tensor_split_23 = None
+        mul_57 = getitem_201 * cos_emb_23
+        cos_emb_23 = None
+        getitem_204 = getitem_201[(Ellipsis, slice(1, None, 2))]
+        neg_23 = -getitem_204
+        getitem_204 = None
+        getitem_205 = getitem_201[(Ellipsis, slice(None, None, 2))]
+        getitem_201 = None
+        stack_23 = torch.stack([neg_23, getitem_205], -1)
+        neg_23 = getitem_205 = None
+        reshape_46 = stack_23.reshape((1, 6, 256, 64))
+        stack_23 = None
+        mul_58 = reshape_46 * sin_emb_23
+        reshape_46 = sin_emb_23 = None
+        add_46 = mul_57 + mul_58
+        mul_57 = mul_58 = None
+        cat_36 = torch.cat([getitem_200, add_46], dim=2)
+        getitem_200 = add_46 = None
+        k_23 = cat_36.type_as(v_11)
+        cat_36 = None
+        x_149 = torch._C._nn.scaled_dot_product_attention(
+            q_23, k_23, v_11, attn_mask=None, dropout_p=0.0
+        )
+        q_23 = k_23 = v_11 = None
+        transpose_12 = x_149.transpose(1, 2)
+        x_149 = None
+        x_150 = transpose_12.reshape(1, 257, 384)
+        transpose_12 = None
+        x_151 = torch._C._nn.linear(
+            x_150,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_150 = l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_152 = torch.nn.functional.dropout(x_151, 0.0, False, False)
+        x_151 = None
+        x_153 = x_147 + x_152
+        x_147 = x_152 = None
+        x_154 = torch.nn.functional.layer_norm(
+            x_153,
+            (384,),
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        ) = None
+        x_155 = torch._C._nn.linear(
+            x_154,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_11 = x_155.chunk(2, dim=-1)
+        x_155 = None
+        x1_11 = chunk_11[0]
+        x2_11 = chunk_11[1]
+        chunk_11 = None
+        silu_11 = torch.nn.functional.silu(x1_11, inplace=False)
+        x1_11 = None
+        x_156 = silu_11 * x2_11
+        silu_11 = x2_11 = None
+        x_157 = torch.nn.functional.dropout(x_156, 0.0, False, False)
+        x_156 = None
+        x_158 = torch._C._nn.linear(
+            x_157,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_157 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_159 = torch.nn.functional.dropout(x_158, 0.0, False, False)
+        x_158 = None
+        x_160 = x_153 + x_159
+        x_153 = x_159 = None
+        x_161 = x_160[
+            (slice(None, None, None), slice(l_self_num_prefix_tokens, None, None))
+        ]
+        x_160 = l_self_num_prefix_tokens = None
+        x_162 = x_161.mean(dim=1)
+        x_161 = None
+        x_163 = torch.nn.functional.layer_norm(
+            x_162,
+            (384,),
+            l_self_modules_fc_norm_parameters_weight_,
+            l_self_modules_fc_norm_parameters_bias_,
+            1e-06,
+        )
+        x_162 = (
+            l_self_modules_fc_norm_parameters_weight_
+        ) = l_self_modules_fc_norm_parameters_bias_ = None
+        x_164 = torch.nn.functional.dropout(x_163, 0.0, False, False)
+        x_163 = None
+        return (x_164,)
diff --git a/samples/timm/eva02_small_patch14_224.mim_in22k/weight_meta.py b/samples/timm/eva02_small_patch14_224.mim_in22k/weight_meta.py
new file mode 100644
index 000000000..293569f95
--- /dev/null
+++ b/samples/timm/eva02_small_patch14_224.mim_in22k/weight_meta.py
@@ -0,0 +1,1796 @@
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [384, 3, 14, 14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_pos_embed_:
+    name = "L_self_parameters_pos_embed_"
+    shape = [1, 257, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_rope_buffers_pos_embed_:
+    name = "L_self_modules_rope_buffers_pos_embed_"
+    shape = [256, 128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.448
+    std = 0.547
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_cls_token_:
+    name = "L_self_parameters_cls_token_"
+    shape = [1, 1, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_"
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_"
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_"
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_"
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_"
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_"
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_"
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_"
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_"
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_"
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [1152, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [384, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_num_prefix_tokens:
+    name = "L_self_num_prefix_tokens"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_norm_parameters_weight_:
+    name = "L_self_modules_fc_norm_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_norm_parameters_bias_:
+    name = "L_self_modules_fc_norm_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/eva02_tiny_patch14_224.mim_in22k/graph_hash.txt b/samples/timm/eva02_tiny_patch14_224.mim_in22k/graph_hash.txt
new file mode 100644
index 000000000..be77f696b
--- /dev/null
+++ b/samples/timm/eva02_tiny_patch14_224.mim_in22k/graph_hash.txt
@@ -0,0 +1 @@
+fe93eaa13f77a31ba3bb135ff36eea5ee364963ba371a63f08904647c8ac209d
\ No newline at end of file
diff --git a/samples/timm/eva02_tiny_patch14_224.mim_in22k/graph_net.json b/samples/timm/eva02_tiny_patch14_224.mim_in22k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/eva02_tiny_patch14_224.mim_in22k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/eva02_tiny_patch14_224.mim_in22k/input_meta.py b/samples/timm/eva02_tiny_patch14_224.mim_in22k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_tiny_patch14_224.mim_in22k/input_tensor_constraints.py b/samples/timm/eva02_tiny_patch14_224.mim_in22k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva02_tiny_patch14_224.mim_in22k/model.py b/samples/timm/eva02_tiny_patch14_224.mim_in22k/model.py
new file mode 100644
index 000000000..c81339e6b
--- /dev/null
+++ b/samples/timm/eva02_tiny_patch14_224.mim_in22k/model.py
@@ -0,0 +1,2961 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_parameters_pos_embed_: torch.nn.parameter.Parameter,
+        L_self_modules_rope_buffers_pos_embed_: torch.Tensor,
+        L_self_parameters_cls_token_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_num_prefix_tokens: torch.SymInt,
+        L_self_modules_fc_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_norm_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_proj_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_bias_
+        )
+        l_self_parameters_pos_embed_ = L_self_parameters_pos_embed_
+        l_self_modules_rope_buffers_pos_embed_ = L_self_modules_rope_buffers_pos_embed_
+        l_self_parameters_cls_token_ = L_self_parameters_cls_token_
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_num_prefix_tokens = L_self_num_prefix_tokens
+        l_self_modules_fc_norm_parameters_weight_ = (
+            L_self_modules_fc_norm_parameters_weight_
+        )
+        l_self_modules_fc_norm_parameters_bias_ = (
+            L_self_modules_fc_norm_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            l_self_modules_patch_embed_modules_proj_parameters_bias_,
+            (14, 14),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_patch_embed_modules_proj_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_proj_parameters_bias_ = None
+        flatten = x.flatten(2)
+        x = None
+        x_1 = flatten.transpose(1, 2)
+        flatten = None
+        expand = l_self_parameters_cls_token_.expand(1, -1, -1)
+        l_self_parameters_cls_token_ = None
+        x_2 = torch.cat([expand, x_1], dim=1)
+        expand = x_1 = None
+        x_3 = x_2 + l_self_parameters_pos_embed_
+        x_2 = l_self_parameters_pos_embed_ = None
+        x_4 = torch.nn.functional.dropout(x_3, 0.0, False, False)
+        x_3 = None
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (192,),
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias = torch.cat(
+            (
+                l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_ = None
+        qkv = torch._C._nn.linear(
+            x_5,
+            weight=l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias = None
+        reshape = qkv.reshape(1, 257, 3, 3, -1)
+        qkv = None
+        qkv_1 = reshape.permute(2, 0, 3, 1, 4)
+        reshape = None
+        unbind = qkv_1.unbind(0)
+        qkv_1 = None
+        q = unbind[0]
+        k = unbind[1]
+        v = unbind[2]
+        unbind = None
+        getitem_7 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_8 = q[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q = None
+        tensor_split = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb = tensor_split[0]
+        cos_emb = tensor_split[1]
+        tensor_split = None
+        mul = getitem_8 * cos_emb
+        cos_emb = None
+        getitem_11 = getitem_8[(Ellipsis, slice(1, None, 2))]
+        neg = -getitem_11
+        getitem_11 = None
+        getitem_12 = getitem_8[(Ellipsis, slice(None, None, 2))]
+        getitem_8 = None
+        stack = torch.stack([neg, getitem_12], -1)
+        neg = getitem_12 = None
+        reshape_1 = stack.reshape((1, 3, 256, 64))
+        stack = None
+        mul_1 = reshape_1 * sin_emb
+        reshape_1 = sin_emb = None
+        add_1 = mul + mul_1
+        mul = mul_1 = None
+        cat_2 = torch.cat([getitem_7, add_1], dim=2)
+        getitem_7 = add_1 = None
+        q_1 = cat_2.type_as(v)
+        cat_2 = None
+        getitem_13 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_14 = k[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k = None
+        tensor_split_1 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_1 = tensor_split_1[0]
+        cos_emb_1 = tensor_split_1[1]
+        tensor_split_1 = None
+        mul_2 = getitem_14 * cos_emb_1
+        cos_emb_1 = None
+        getitem_17 = getitem_14[(Ellipsis, slice(1, None, 2))]
+        neg_1 = -getitem_17
+        getitem_17 = None
+        getitem_18 = getitem_14[(Ellipsis, slice(None, None, 2))]
+        getitem_14 = None
+        stack_1 = torch.stack([neg_1, getitem_18], -1)
+        neg_1 = getitem_18 = None
+        reshape_2 = stack_1.reshape((1, 3, 256, 64))
+        stack_1 = None
+        mul_3 = reshape_2 * sin_emb_1
+        reshape_2 = sin_emb_1 = None
+        add_2 = mul_2 + mul_3
+        mul_2 = mul_3 = None
+        cat_3 = torch.cat([getitem_13, add_2], dim=2)
+        getitem_13 = add_2 = None
+        k_1 = cat_3.type_as(v)
+        cat_3 = None
+        x_6 = torch._C._nn.scaled_dot_product_attention(
+            q_1, k_1, v, attn_mask=None, dropout_p=0.0
+        )
+        q_1 = k_1 = v = None
+        transpose_1 = x_6.transpose(1, 2)
+        x_6 = None
+        x_7 = transpose_1.reshape(1, 257, 192)
+        transpose_1 = None
+        x_8 = torch._C._nn.linear(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_9 = torch.nn.functional.dropout(x_8, 0.0, False, False)
+        x_8 = None
+        x_10 = x_4 + x_9
+        x_4 = x_9 = None
+        x_11 = torch.nn.functional.layer_norm(
+            x_10,
+            (192,),
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        ) = None
+        x_12 = torch._C._nn.linear(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk = x_12.chunk(2, dim=-1)
+        x_12 = None
+        x1 = chunk[0]
+        x2 = chunk[1]
+        chunk = None
+        silu = torch.nn.functional.silu(x1, inplace=False)
+        x1 = None
+        x_13 = silu * x2
+        silu = x2 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch._C._nn.linear(
+            x_14,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_10 + x_16
+        x_10 = x_16 = None
+        x_18 = torch.nn.functional.layer_norm(
+            x_17,
+            (192,),
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_1 = torch.cat(
+            (
+                l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_ = None
+        qkv_2 = torch._C._nn.linear(
+            x_18,
+            weight=l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_1,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_1 = None
+        reshape_4 = qkv_2.reshape(1, 257, 3, 3, -1)
+        qkv_2 = None
+        qkv_3 = reshape_4.permute(2, 0, 3, 1, 4)
+        reshape_4 = None
+        unbind_1 = qkv_3.unbind(0)
+        qkv_3 = None
+        q_2 = unbind_1[0]
+        k_2 = unbind_1[1]
+        v_1 = unbind_1[2]
+        unbind_1 = None
+        getitem_24 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_25 = q_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_2 = None
+        tensor_split_2 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_2 = tensor_split_2[0]
+        cos_emb_2 = tensor_split_2[1]
+        tensor_split_2 = None
+        mul_5 = getitem_25 * cos_emb_2
+        cos_emb_2 = None
+        getitem_28 = getitem_25[(Ellipsis, slice(1, None, 2))]
+        neg_2 = -getitem_28
+        getitem_28 = None
+        getitem_29 = getitem_25[(Ellipsis, slice(None, None, 2))]
+        getitem_25 = None
+        stack_2 = torch.stack([neg_2, getitem_29], -1)
+        neg_2 = getitem_29 = None
+        reshape_5 = stack_2.reshape((1, 3, 256, 64))
+        stack_2 = None
+        mul_6 = reshape_5 * sin_emb_2
+        reshape_5 = sin_emb_2 = None
+        add_5 = mul_5 + mul_6
+        mul_5 = mul_6 = None
+        cat_5 = torch.cat([getitem_24, add_5], dim=2)
+        getitem_24 = add_5 = None
+        q_3 = cat_5.type_as(v_1)
+        cat_5 = None
+        getitem_30 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_31 = k_2[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_2 = None
+        tensor_split_3 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_3 = tensor_split_3[0]
+        cos_emb_3 = tensor_split_3[1]
+        tensor_split_3 = None
+        mul_7 = getitem_31 * cos_emb_3
+        cos_emb_3 = None
+        getitem_34 = getitem_31[(Ellipsis, slice(1, None, 2))]
+        neg_3 = -getitem_34
+        getitem_34 = None
+        getitem_35 = getitem_31[(Ellipsis, slice(None, None, 2))]
+        getitem_31 = None
+        stack_3 = torch.stack([neg_3, getitem_35], -1)
+        neg_3 = getitem_35 = None
+        reshape_6 = stack_3.reshape((1, 3, 256, 64))
+        stack_3 = None
+        mul_8 = reshape_6 * sin_emb_3
+        reshape_6 = sin_emb_3 = None
+        add_6 = mul_7 + mul_8
+        mul_7 = mul_8 = None
+        cat_6 = torch.cat([getitem_30, add_6], dim=2)
+        getitem_30 = add_6 = None
+        k_3 = cat_6.type_as(v_1)
+        cat_6 = None
+        x_19 = torch._C._nn.scaled_dot_product_attention(
+            q_3, k_3, v_1, attn_mask=None, dropout_p=0.0
+        )
+        q_3 = k_3 = v_1 = None
+        transpose_2 = x_19.transpose(1, 2)
+        x_19 = None
+        x_20 = transpose_2.reshape(1, 257, 192)
+        transpose_2 = None
+        x_21 = torch._C._nn.linear(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_22 = torch.nn.functional.dropout(x_21, 0.0, False, False)
+        x_21 = None
+        x_23 = x_17 + x_22
+        x_17 = x_22 = None
+        x_24 = torch.nn.functional.layer_norm(
+            x_23,
+            (192,),
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        ) = None
+        x_25 = torch._C._nn.linear(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_1 = x_25.chunk(2, dim=-1)
+        x_25 = None
+        x1_1 = chunk_1[0]
+        x2_1 = chunk_1[1]
+        chunk_1 = None
+        silu_1 = torch.nn.functional.silu(x1_1, inplace=False)
+        x1_1 = None
+        x_26 = silu_1 * x2_1
+        silu_1 = x2_1 = None
+        x_27 = torch.nn.functional.dropout(x_26, 0.0, False, False)
+        x_26 = None
+        x_28 = torch._C._nn.linear(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_29 = torch.nn.functional.dropout(x_28, 0.0, False, False)
+        x_28 = None
+        x_30 = x_23 + x_29
+        x_23 = x_29 = None
+        x_31 = torch.nn.functional.layer_norm(
+            x_30,
+            (192,),
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_2 = torch.cat(
+            (
+                l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_ = None
+        qkv_4 = torch._C._nn.linear(
+            x_31,
+            weight=l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_2,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_2 = None
+        reshape_8 = qkv_4.reshape(1, 257, 3, 3, -1)
+        qkv_4 = None
+        qkv_5 = reshape_8.permute(2, 0, 3, 1, 4)
+        reshape_8 = None
+        unbind_2 = qkv_5.unbind(0)
+        qkv_5 = None
+        q_4 = unbind_2[0]
+        k_4 = unbind_2[1]
+        v_2 = unbind_2[2]
+        unbind_2 = None
+        getitem_41 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_42 = q_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_4 = None
+        tensor_split_4 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_4 = tensor_split_4[0]
+        cos_emb_4 = tensor_split_4[1]
+        tensor_split_4 = None
+        mul_10 = getitem_42 * cos_emb_4
+        cos_emb_4 = None
+        getitem_45 = getitem_42[(Ellipsis, slice(1, None, 2))]
+        neg_4 = -getitem_45
+        getitem_45 = None
+        getitem_46 = getitem_42[(Ellipsis, slice(None, None, 2))]
+        getitem_42 = None
+        stack_4 = torch.stack([neg_4, getitem_46], -1)
+        neg_4 = getitem_46 = None
+        reshape_9 = stack_4.reshape((1, 3, 256, 64))
+        stack_4 = None
+        mul_11 = reshape_9 * sin_emb_4
+        reshape_9 = sin_emb_4 = None
+        add_9 = mul_10 + mul_11
+        mul_10 = mul_11 = None
+        cat_8 = torch.cat([getitem_41, add_9], dim=2)
+        getitem_41 = add_9 = None
+        q_5 = cat_8.type_as(v_2)
+        cat_8 = None
+        getitem_47 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_48 = k_4[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_4 = None
+        tensor_split_5 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_5 = tensor_split_5[0]
+        cos_emb_5 = tensor_split_5[1]
+        tensor_split_5 = None
+        mul_12 = getitem_48 * cos_emb_5
+        cos_emb_5 = None
+        getitem_51 = getitem_48[(Ellipsis, slice(1, None, 2))]
+        neg_5 = -getitem_51
+        getitem_51 = None
+        getitem_52 = getitem_48[(Ellipsis, slice(None, None, 2))]
+        getitem_48 = None
+        stack_5 = torch.stack([neg_5, getitem_52], -1)
+        neg_5 = getitem_52 = None
+        reshape_10 = stack_5.reshape((1, 3, 256, 64))
+        stack_5 = None
+        mul_13 = reshape_10 * sin_emb_5
+        reshape_10 = sin_emb_5 = None
+        add_10 = mul_12 + mul_13
+        mul_12 = mul_13 = None
+        cat_9 = torch.cat([getitem_47, add_10], dim=2)
+        getitem_47 = add_10 = None
+        k_5 = cat_9.type_as(v_2)
+        cat_9 = None
+        x_32 = torch._C._nn.scaled_dot_product_attention(
+            q_5, k_5, v_2, attn_mask=None, dropout_p=0.0
+        )
+        q_5 = k_5 = v_2 = None
+        transpose_3 = x_32.transpose(1, 2)
+        x_32 = None
+        x_33 = transpose_3.reshape(1, 257, 192)
+        transpose_3 = None
+        x_34 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_33 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_35 = torch.nn.functional.dropout(x_34, 0.0, False, False)
+        x_34 = None
+        x_36 = x_30 + x_35
+        x_30 = x_35 = None
+        x_37 = torch.nn.functional.layer_norm(
+            x_36,
+            (192,),
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        ) = None
+        x_38 = torch._C._nn.linear(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_2 = x_38.chunk(2, dim=-1)
+        x_38 = None
+        x1_2 = chunk_2[0]
+        x2_2 = chunk_2[1]
+        chunk_2 = None
+        silu_2 = torch.nn.functional.silu(x1_2, inplace=False)
+        x1_2 = None
+        x_39 = silu_2 * x2_2
+        silu_2 = x2_2 = None
+        x_40 = torch.nn.functional.dropout(x_39, 0.0, False, False)
+        x_39 = None
+        x_41 = torch._C._nn.linear(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_40 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_42 = torch.nn.functional.dropout(x_41, 0.0, False, False)
+        x_41 = None
+        x_43 = x_36 + x_42
+        x_36 = x_42 = None
+        x_44 = torch.nn.functional.layer_norm(
+            x_43,
+            (192,),
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_3 = torch.cat(
+            (
+                l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_ = None
+        qkv_6 = torch._C._nn.linear(
+            x_44,
+            weight=l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_3,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_3 = None
+        reshape_12 = qkv_6.reshape(1, 257, 3, 3, -1)
+        qkv_6 = None
+        qkv_7 = reshape_12.permute(2, 0, 3, 1, 4)
+        reshape_12 = None
+        unbind_3 = qkv_7.unbind(0)
+        qkv_7 = None
+        q_6 = unbind_3[0]
+        k_6 = unbind_3[1]
+        v_3 = unbind_3[2]
+        unbind_3 = None
+        getitem_58 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_59 = q_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_6 = None
+        tensor_split_6 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_6 = tensor_split_6[0]
+        cos_emb_6 = tensor_split_6[1]
+        tensor_split_6 = None
+        mul_15 = getitem_59 * cos_emb_6
+        cos_emb_6 = None
+        getitem_62 = getitem_59[(Ellipsis, slice(1, None, 2))]
+        neg_6 = -getitem_62
+        getitem_62 = None
+        getitem_63 = getitem_59[(Ellipsis, slice(None, None, 2))]
+        getitem_59 = None
+        stack_6 = torch.stack([neg_6, getitem_63], -1)
+        neg_6 = getitem_63 = None
+        reshape_13 = stack_6.reshape((1, 3, 256, 64))
+        stack_6 = None
+        mul_16 = reshape_13 * sin_emb_6
+        reshape_13 = sin_emb_6 = None
+        add_13 = mul_15 + mul_16
+        mul_15 = mul_16 = None
+        cat_11 = torch.cat([getitem_58, add_13], dim=2)
+        getitem_58 = add_13 = None
+        q_7 = cat_11.type_as(v_3)
+        cat_11 = None
+        getitem_64 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_65 = k_6[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_6 = None
+        tensor_split_7 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_7 = tensor_split_7[0]
+        cos_emb_7 = tensor_split_7[1]
+        tensor_split_7 = None
+        mul_17 = getitem_65 * cos_emb_7
+        cos_emb_7 = None
+        getitem_68 = getitem_65[(Ellipsis, slice(1, None, 2))]
+        neg_7 = -getitem_68
+        getitem_68 = None
+        getitem_69 = getitem_65[(Ellipsis, slice(None, None, 2))]
+        getitem_65 = None
+        stack_7 = torch.stack([neg_7, getitem_69], -1)
+        neg_7 = getitem_69 = None
+        reshape_14 = stack_7.reshape((1, 3, 256, 64))
+        stack_7 = None
+        mul_18 = reshape_14 * sin_emb_7
+        reshape_14 = sin_emb_7 = None
+        add_14 = mul_17 + mul_18
+        mul_17 = mul_18 = None
+        cat_12 = torch.cat([getitem_64, add_14], dim=2)
+        getitem_64 = add_14 = None
+        k_7 = cat_12.type_as(v_3)
+        cat_12 = None
+        x_45 = torch._C._nn.scaled_dot_product_attention(
+            q_7, k_7, v_3, attn_mask=None, dropout_p=0.0
+        )
+        q_7 = k_7 = v_3 = None
+        transpose_4 = x_45.transpose(1, 2)
+        x_45 = None
+        x_46 = transpose_4.reshape(1, 257, 192)
+        transpose_4 = None
+        x_47 = torch._C._nn.linear(
+            x_46,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_43 + x_48
+        x_43 = x_48 = None
+        x_50 = torch.nn.functional.layer_norm(
+            x_49,
+            (192,),
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        ) = None
+        x_51 = torch._C._nn.linear(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_50 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_3 = x_51.chunk(2, dim=-1)
+        x_51 = None
+        x1_3 = chunk_3[0]
+        x2_3 = chunk_3[1]
+        chunk_3 = None
+        silu_3 = torch.nn.functional.silu(x1_3, inplace=False)
+        x1_3 = None
+        x_52 = silu_3 * x2_3
+        silu_3 = x2_3 = None
+        x_53 = torch.nn.functional.dropout(x_52, 0.0, False, False)
+        x_52 = None
+        x_54 = torch._C._nn.linear(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.dropout(x_54, 0.0, False, False)
+        x_54 = None
+        x_56 = x_49 + x_55
+        x_49 = x_55 = None
+        x_57 = torch.nn.functional.layer_norm(
+            x_56,
+            (192,),
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_4 = torch.cat(
+            (
+                l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_ = None
+        qkv_8 = torch._C._nn.linear(
+            x_57,
+            weight=l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_4,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_4 = None
+        reshape_16 = qkv_8.reshape(1, 257, 3, 3, -1)
+        qkv_8 = None
+        qkv_9 = reshape_16.permute(2, 0, 3, 1, 4)
+        reshape_16 = None
+        unbind_4 = qkv_9.unbind(0)
+        qkv_9 = None
+        q_8 = unbind_4[0]
+        k_8 = unbind_4[1]
+        v_4 = unbind_4[2]
+        unbind_4 = None
+        getitem_75 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_76 = q_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_8 = None
+        tensor_split_8 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_8 = tensor_split_8[0]
+        cos_emb_8 = tensor_split_8[1]
+        tensor_split_8 = None
+        mul_20 = getitem_76 * cos_emb_8
+        cos_emb_8 = None
+        getitem_79 = getitem_76[(Ellipsis, slice(1, None, 2))]
+        neg_8 = -getitem_79
+        getitem_79 = None
+        getitem_80 = getitem_76[(Ellipsis, slice(None, None, 2))]
+        getitem_76 = None
+        stack_8 = torch.stack([neg_8, getitem_80], -1)
+        neg_8 = getitem_80 = None
+        reshape_17 = stack_8.reshape((1, 3, 256, 64))
+        stack_8 = None
+        mul_21 = reshape_17 * sin_emb_8
+        reshape_17 = sin_emb_8 = None
+        add_17 = mul_20 + mul_21
+        mul_20 = mul_21 = None
+        cat_14 = torch.cat([getitem_75, add_17], dim=2)
+        getitem_75 = add_17 = None
+        q_9 = cat_14.type_as(v_4)
+        cat_14 = None
+        getitem_81 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_82 = k_8[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_8 = None
+        tensor_split_9 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_9 = tensor_split_9[0]
+        cos_emb_9 = tensor_split_9[1]
+        tensor_split_9 = None
+        mul_22 = getitem_82 * cos_emb_9
+        cos_emb_9 = None
+        getitem_85 = getitem_82[(Ellipsis, slice(1, None, 2))]
+        neg_9 = -getitem_85
+        getitem_85 = None
+        getitem_86 = getitem_82[(Ellipsis, slice(None, None, 2))]
+        getitem_82 = None
+        stack_9 = torch.stack([neg_9, getitem_86], -1)
+        neg_9 = getitem_86 = None
+        reshape_18 = stack_9.reshape((1, 3, 256, 64))
+        stack_9 = None
+        mul_23 = reshape_18 * sin_emb_9
+        reshape_18 = sin_emb_9 = None
+        add_18 = mul_22 + mul_23
+        mul_22 = mul_23 = None
+        cat_15 = torch.cat([getitem_81, add_18], dim=2)
+        getitem_81 = add_18 = None
+        k_9 = cat_15.type_as(v_4)
+        cat_15 = None
+        x_58 = torch._C._nn.scaled_dot_product_attention(
+            q_9, k_9, v_4, attn_mask=None, dropout_p=0.0
+        )
+        q_9 = k_9 = v_4 = None
+        transpose_5 = x_58.transpose(1, 2)
+        x_58 = None
+        x_59 = transpose_5.reshape(1, 257, 192)
+        transpose_5 = None
+        x_60 = torch._C._nn.linear(
+            x_59,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.dropout(x_60, 0.0, False, False)
+        x_60 = None
+        x_62 = x_56 + x_61
+        x_56 = x_61 = None
+        x_63 = torch.nn.functional.layer_norm(
+            x_62,
+            (192,),
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        ) = None
+        x_64 = torch._C._nn.linear(
+            x_63,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_4 = x_64.chunk(2, dim=-1)
+        x_64 = None
+        x1_4 = chunk_4[0]
+        x2_4 = chunk_4[1]
+        chunk_4 = None
+        silu_4 = torch.nn.functional.silu(x1_4, inplace=False)
+        x1_4 = None
+        x_65 = silu_4 * x2_4
+        silu_4 = x2_4 = None
+        x_66 = torch.nn.functional.dropout(x_65, 0.0, False, False)
+        x_65 = None
+        x_67 = torch._C._nn.linear(
+            x_66,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_68 = torch.nn.functional.dropout(x_67, 0.0, False, False)
+        x_67 = None
+        x_69 = x_62 + x_68
+        x_62 = x_68 = None
+        x_70 = torch.nn.functional.layer_norm(
+            x_69,
+            (192,),
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_5 = torch.cat(
+            (
+                l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_ = None
+        qkv_10 = torch._C._nn.linear(
+            x_70,
+            weight=l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_5,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_5 = None
+        reshape_20 = qkv_10.reshape(1, 257, 3, 3, -1)
+        qkv_10 = None
+        qkv_11 = reshape_20.permute(2, 0, 3, 1, 4)
+        reshape_20 = None
+        unbind_5 = qkv_11.unbind(0)
+        qkv_11 = None
+        q_10 = unbind_5[0]
+        k_10 = unbind_5[1]
+        v_5 = unbind_5[2]
+        unbind_5 = None
+        getitem_92 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_93 = q_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_10 = None
+        tensor_split_10 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_10 = tensor_split_10[0]
+        cos_emb_10 = tensor_split_10[1]
+        tensor_split_10 = None
+        mul_25 = getitem_93 * cos_emb_10
+        cos_emb_10 = None
+        getitem_96 = getitem_93[(Ellipsis, slice(1, None, 2))]
+        neg_10 = -getitem_96
+        getitem_96 = None
+        getitem_97 = getitem_93[(Ellipsis, slice(None, None, 2))]
+        getitem_93 = None
+        stack_10 = torch.stack([neg_10, getitem_97], -1)
+        neg_10 = getitem_97 = None
+        reshape_21 = stack_10.reshape((1, 3, 256, 64))
+        stack_10 = None
+        mul_26 = reshape_21 * sin_emb_10
+        reshape_21 = sin_emb_10 = None
+        add_21 = mul_25 + mul_26
+        mul_25 = mul_26 = None
+        cat_17 = torch.cat([getitem_92, add_21], dim=2)
+        getitem_92 = add_21 = None
+        q_11 = cat_17.type_as(v_5)
+        cat_17 = None
+        getitem_98 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_99 = k_10[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_10 = None
+        tensor_split_11 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_11 = tensor_split_11[0]
+        cos_emb_11 = tensor_split_11[1]
+        tensor_split_11 = None
+        mul_27 = getitem_99 * cos_emb_11
+        cos_emb_11 = None
+        getitem_102 = getitem_99[(Ellipsis, slice(1, None, 2))]
+        neg_11 = -getitem_102
+        getitem_102 = None
+        getitem_103 = getitem_99[(Ellipsis, slice(None, None, 2))]
+        getitem_99 = None
+        stack_11 = torch.stack([neg_11, getitem_103], -1)
+        neg_11 = getitem_103 = None
+        reshape_22 = stack_11.reshape((1, 3, 256, 64))
+        stack_11 = None
+        mul_28 = reshape_22 * sin_emb_11
+        reshape_22 = sin_emb_11 = None
+        add_22 = mul_27 + mul_28
+        mul_27 = mul_28 = None
+        cat_18 = torch.cat([getitem_98, add_22], dim=2)
+        getitem_98 = add_22 = None
+        k_11 = cat_18.type_as(v_5)
+        cat_18 = None
+        x_71 = torch._C._nn.scaled_dot_product_attention(
+            q_11, k_11, v_5, attn_mask=None, dropout_p=0.0
+        )
+        q_11 = k_11 = v_5 = None
+        transpose_6 = x_71.transpose(1, 2)
+        x_71 = None
+        x_72 = transpose_6.reshape(1, 257, 192)
+        transpose_6 = None
+        x_73 = torch._C._nn.linear(
+            x_72,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_74 = torch.nn.functional.dropout(x_73, 0.0, False, False)
+        x_73 = None
+        x_75 = x_69 + x_74
+        x_69 = x_74 = None
+        x_76 = torch.nn.functional.layer_norm(
+            x_75,
+            (192,),
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        ) = None
+        x_77 = torch._C._nn.linear(
+            x_76,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_5 = x_77.chunk(2, dim=-1)
+        x_77 = None
+        x1_5 = chunk_5[0]
+        x2_5 = chunk_5[1]
+        chunk_5 = None
+        silu_5 = torch.nn.functional.silu(x1_5, inplace=False)
+        x1_5 = None
+        x_78 = silu_5 * x2_5
+        silu_5 = x2_5 = None
+        x_79 = torch.nn.functional.dropout(x_78, 0.0, False, False)
+        x_78 = None
+        x_80 = torch._C._nn.linear(
+            x_79,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.dropout(x_80, 0.0, False, False)
+        x_80 = None
+        x_82 = x_75 + x_81
+        x_75 = x_81 = None
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (192,),
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_6 = torch.cat(
+            (
+                l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_ = None
+        qkv_12 = torch._C._nn.linear(
+            x_83,
+            weight=l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_6,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_6 = None
+        reshape_24 = qkv_12.reshape(1, 257, 3, 3, -1)
+        qkv_12 = None
+        qkv_13 = reshape_24.permute(2, 0, 3, 1, 4)
+        reshape_24 = None
+        unbind_6 = qkv_13.unbind(0)
+        qkv_13 = None
+        q_12 = unbind_6[0]
+        k_12 = unbind_6[1]
+        v_6 = unbind_6[2]
+        unbind_6 = None
+        getitem_109 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_110 = q_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_12 = None
+        tensor_split_12 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_12 = tensor_split_12[0]
+        cos_emb_12 = tensor_split_12[1]
+        tensor_split_12 = None
+        mul_30 = getitem_110 * cos_emb_12
+        cos_emb_12 = None
+        getitem_113 = getitem_110[(Ellipsis, slice(1, None, 2))]
+        neg_12 = -getitem_113
+        getitem_113 = None
+        getitem_114 = getitem_110[(Ellipsis, slice(None, None, 2))]
+        getitem_110 = None
+        stack_12 = torch.stack([neg_12, getitem_114], -1)
+        neg_12 = getitem_114 = None
+        reshape_25 = stack_12.reshape((1, 3, 256, 64))
+        stack_12 = None
+        mul_31 = reshape_25 * sin_emb_12
+        reshape_25 = sin_emb_12 = None
+        add_25 = mul_30 + mul_31
+        mul_30 = mul_31 = None
+        cat_20 = torch.cat([getitem_109, add_25], dim=2)
+        getitem_109 = add_25 = None
+        q_13 = cat_20.type_as(v_6)
+        cat_20 = None
+        getitem_115 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_116 = k_12[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_12 = None
+        tensor_split_13 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_13 = tensor_split_13[0]
+        cos_emb_13 = tensor_split_13[1]
+        tensor_split_13 = None
+        mul_32 = getitem_116 * cos_emb_13
+        cos_emb_13 = None
+        getitem_119 = getitem_116[(Ellipsis, slice(1, None, 2))]
+        neg_13 = -getitem_119
+        getitem_119 = None
+        getitem_120 = getitem_116[(Ellipsis, slice(None, None, 2))]
+        getitem_116 = None
+        stack_13 = torch.stack([neg_13, getitem_120], -1)
+        neg_13 = getitem_120 = None
+        reshape_26 = stack_13.reshape((1, 3, 256, 64))
+        stack_13 = None
+        mul_33 = reshape_26 * sin_emb_13
+        reshape_26 = sin_emb_13 = None
+        add_26 = mul_32 + mul_33
+        mul_32 = mul_33 = None
+        cat_21 = torch.cat([getitem_115, add_26], dim=2)
+        getitem_115 = add_26 = None
+        k_13 = cat_21.type_as(v_6)
+        cat_21 = None
+        x_84 = torch._C._nn.scaled_dot_product_attention(
+            q_13, k_13, v_6, attn_mask=None, dropout_p=0.0
+        )
+        q_13 = k_13 = v_6 = None
+        transpose_7 = x_84.transpose(1, 2)
+        x_84 = None
+        x_85 = transpose_7.reshape(1, 257, 192)
+        transpose_7 = None
+        x_86 = torch._C._nn.linear(
+            x_85,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.dropout(x_86, 0.0, False, False)
+        x_86 = None
+        x_88 = x_82 + x_87
+        x_82 = x_87 = None
+        x_89 = torch.nn.functional.layer_norm(
+            x_88,
+            (192,),
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        ) = None
+        x_90 = torch._C._nn.linear(
+            x_89,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_89 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_6 = x_90.chunk(2, dim=-1)
+        x_90 = None
+        x1_6 = chunk_6[0]
+        x2_6 = chunk_6[1]
+        chunk_6 = None
+        silu_6 = torch.nn.functional.silu(x1_6, inplace=False)
+        x1_6 = None
+        x_91 = silu_6 * x2_6
+        silu_6 = x2_6 = None
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = torch._C._nn.linear(
+            x_92,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_94 = torch.nn.functional.dropout(x_93, 0.0, False, False)
+        x_93 = None
+        x_95 = x_88 + x_94
+        x_88 = x_94 = None
+        x_96 = torch.nn.functional.layer_norm(
+            x_95,
+            (192,),
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_7 = torch.cat(
+            (
+                l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_ = None
+        qkv_14 = torch._C._nn.linear(
+            x_96,
+            weight=l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_7,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_7 = None
+        reshape_28 = qkv_14.reshape(1, 257, 3, 3, -1)
+        qkv_14 = None
+        qkv_15 = reshape_28.permute(2, 0, 3, 1, 4)
+        reshape_28 = None
+        unbind_7 = qkv_15.unbind(0)
+        qkv_15 = None
+        q_14 = unbind_7[0]
+        k_14 = unbind_7[1]
+        v_7 = unbind_7[2]
+        unbind_7 = None
+        getitem_126 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_127 = q_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_14 = None
+        tensor_split_14 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_14 = tensor_split_14[0]
+        cos_emb_14 = tensor_split_14[1]
+        tensor_split_14 = None
+        mul_35 = getitem_127 * cos_emb_14
+        cos_emb_14 = None
+        getitem_130 = getitem_127[(Ellipsis, slice(1, None, 2))]
+        neg_14 = -getitem_130
+        getitem_130 = None
+        getitem_131 = getitem_127[(Ellipsis, slice(None, None, 2))]
+        getitem_127 = None
+        stack_14 = torch.stack([neg_14, getitem_131], -1)
+        neg_14 = getitem_131 = None
+        reshape_29 = stack_14.reshape((1, 3, 256, 64))
+        stack_14 = None
+        mul_36 = reshape_29 * sin_emb_14
+        reshape_29 = sin_emb_14 = None
+        add_29 = mul_35 + mul_36
+        mul_35 = mul_36 = None
+        cat_23 = torch.cat([getitem_126, add_29], dim=2)
+        getitem_126 = add_29 = None
+        q_15 = cat_23.type_as(v_7)
+        cat_23 = None
+        getitem_132 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_133 = k_14[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_14 = None
+        tensor_split_15 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_15 = tensor_split_15[0]
+        cos_emb_15 = tensor_split_15[1]
+        tensor_split_15 = None
+        mul_37 = getitem_133 * cos_emb_15
+        cos_emb_15 = None
+        getitem_136 = getitem_133[(Ellipsis, slice(1, None, 2))]
+        neg_15 = -getitem_136
+        getitem_136 = None
+        getitem_137 = getitem_133[(Ellipsis, slice(None, None, 2))]
+        getitem_133 = None
+        stack_15 = torch.stack([neg_15, getitem_137], -1)
+        neg_15 = getitem_137 = None
+        reshape_30 = stack_15.reshape((1, 3, 256, 64))
+        stack_15 = None
+        mul_38 = reshape_30 * sin_emb_15
+        reshape_30 = sin_emb_15 = None
+        add_30 = mul_37 + mul_38
+        mul_37 = mul_38 = None
+        cat_24 = torch.cat([getitem_132, add_30], dim=2)
+        getitem_132 = add_30 = None
+        k_15 = cat_24.type_as(v_7)
+        cat_24 = None
+        x_97 = torch._C._nn.scaled_dot_product_attention(
+            q_15, k_15, v_7, attn_mask=None, dropout_p=0.0
+        )
+        q_15 = k_15 = v_7 = None
+        transpose_8 = x_97.transpose(1, 2)
+        x_97 = None
+        x_98 = transpose_8.reshape(1, 257, 192)
+        transpose_8 = None
+        x_99 = torch._C._nn.linear(
+            x_98,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_100 = torch.nn.functional.dropout(x_99, 0.0, False, False)
+        x_99 = None
+        x_101 = x_95 + x_100
+        x_95 = x_100 = None
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (192,),
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        ) = None
+        x_103 = torch._C._nn.linear(
+            x_102,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_7 = x_103.chunk(2, dim=-1)
+        x_103 = None
+        x1_7 = chunk_7[0]
+        x2_7 = chunk_7[1]
+        chunk_7 = None
+        silu_7 = torch.nn.functional.silu(x1_7, inplace=False)
+        x1_7 = None
+        x_104 = silu_7 * x2_7
+        silu_7 = x2_7 = None
+        x_105 = torch.nn.functional.dropout(x_104, 0.0, False, False)
+        x_104 = None
+        x_106 = torch._C._nn.linear(
+            x_105,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_107 = torch.nn.functional.dropout(x_106, 0.0, False, False)
+        x_106 = None
+        x_108 = x_101 + x_107
+        x_101 = x_107 = None
+        x_109 = torch.nn.functional.layer_norm(
+            x_108,
+            (192,),
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_8 = torch.cat(
+            (
+                l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_ = None
+        qkv_16 = torch._C._nn.linear(
+            x_109,
+            weight=l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_8,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_8 = None
+        reshape_32 = qkv_16.reshape(1, 257, 3, 3, -1)
+        qkv_16 = None
+        qkv_17 = reshape_32.permute(2, 0, 3, 1, 4)
+        reshape_32 = None
+        unbind_8 = qkv_17.unbind(0)
+        qkv_17 = None
+        q_16 = unbind_8[0]
+        k_16 = unbind_8[1]
+        v_8 = unbind_8[2]
+        unbind_8 = None
+        getitem_143 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_144 = q_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_16 = None
+        tensor_split_16 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_16 = tensor_split_16[0]
+        cos_emb_16 = tensor_split_16[1]
+        tensor_split_16 = None
+        mul_40 = getitem_144 * cos_emb_16
+        cos_emb_16 = None
+        getitem_147 = getitem_144[(Ellipsis, slice(1, None, 2))]
+        neg_16 = -getitem_147
+        getitem_147 = None
+        getitem_148 = getitem_144[(Ellipsis, slice(None, None, 2))]
+        getitem_144 = None
+        stack_16 = torch.stack([neg_16, getitem_148], -1)
+        neg_16 = getitem_148 = None
+        reshape_33 = stack_16.reshape((1, 3, 256, 64))
+        stack_16 = None
+        mul_41 = reshape_33 * sin_emb_16
+        reshape_33 = sin_emb_16 = None
+        add_33 = mul_40 + mul_41
+        mul_40 = mul_41 = None
+        cat_26 = torch.cat([getitem_143, add_33], dim=2)
+        getitem_143 = add_33 = None
+        q_17 = cat_26.type_as(v_8)
+        cat_26 = None
+        getitem_149 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_150 = k_16[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_16 = None
+        tensor_split_17 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_17 = tensor_split_17[0]
+        cos_emb_17 = tensor_split_17[1]
+        tensor_split_17 = None
+        mul_42 = getitem_150 * cos_emb_17
+        cos_emb_17 = None
+        getitem_153 = getitem_150[(Ellipsis, slice(1, None, 2))]
+        neg_17 = -getitem_153
+        getitem_153 = None
+        getitem_154 = getitem_150[(Ellipsis, slice(None, None, 2))]
+        getitem_150 = None
+        stack_17 = torch.stack([neg_17, getitem_154], -1)
+        neg_17 = getitem_154 = None
+        reshape_34 = stack_17.reshape((1, 3, 256, 64))
+        stack_17 = None
+        mul_43 = reshape_34 * sin_emb_17
+        reshape_34 = sin_emb_17 = None
+        add_34 = mul_42 + mul_43
+        mul_42 = mul_43 = None
+        cat_27 = torch.cat([getitem_149, add_34], dim=2)
+        getitem_149 = add_34 = None
+        k_17 = cat_27.type_as(v_8)
+        cat_27 = None
+        x_110 = torch._C._nn.scaled_dot_product_attention(
+            q_17, k_17, v_8, attn_mask=None, dropout_p=0.0
+        )
+        q_17 = k_17 = v_8 = None
+        transpose_9 = x_110.transpose(1, 2)
+        x_110 = None
+        x_111 = transpose_9.reshape(1, 257, 192)
+        transpose_9 = None
+        x_112 = torch._C._nn.linear(
+            x_111,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_113 = torch.nn.functional.dropout(x_112, 0.0, False, False)
+        x_112 = None
+        x_114 = x_108 + x_113
+        x_108 = x_113 = None
+        x_115 = torch.nn.functional.layer_norm(
+            x_114,
+            (192,),
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        ) = None
+        x_116 = torch._C._nn.linear(
+            x_115,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_8 = x_116.chunk(2, dim=-1)
+        x_116 = None
+        x1_8 = chunk_8[0]
+        x2_8 = chunk_8[1]
+        chunk_8 = None
+        silu_8 = torch.nn.functional.silu(x1_8, inplace=False)
+        x1_8 = None
+        x_117 = silu_8 * x2_8
+        silu_8 = x2_8 = None
+        x_118 = torch.nn.functional.dropout(x_117, 0.0, False, False)
+        x_117 = None
+        x_119 = torch._C._nn.linear(
+            x_118,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = x_114 + x_120
+        x_114 = x_120 = None
+        x_122 = torch.nn.functional.layer_norm(
+            x_121,
+            (192,),
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_9 = torch.cat(
+            (
+                l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_ = None
+        qkv_18 = torch._C._nn.linear(
+            x_122,
+            weight=l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_9,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_9 = None
+        reshape_36 = qkv_18.reshape(1, 257, 3, 3, -1)
+        qkv_18 = None
+        qkv_19 = reshape_36.permute(2, 0, 3, 1, 4)
+        reshape_36 = None
+        unbind_9 = qkv_19.unbind(0)
+        qkv_19 = None
+        q_18 = unbind_9[0]
+        k_18 = unbind_9[1]
+        v_9 = unbind_9[2]
+        unbind_9 = None
+        getitem_160 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_161 = q_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_18 = None
+        tensor_split_18 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_18 = tensor_split_18[0]
+        cos_emb_18 = tensor_split_18[1]
+        tensor_split_18 = None
+        mul_45 = getitem_161 * cos_emb_18
+        cos_emb_18 = None
+        getitem_164 = getitem_161[(Ellipsis, slice(1, None, 2))]
+        neg_18 = -getitem_164
+        getitem_164 = None
+        getitem_165 = getitem_161[(Ellipsis, slice(None, None, 2))]
+        getitem_161 = None
+        stack_18 = torch.stack([neg_18, getitem_165], -1)
+        neg_18 = getitem_165 = None
+        reshape_37 = stack_18.reshape((1, 3, 256, 64))
+        stack_18 = None
+        mul_46 = reshape_37 * sin_emb_18
+        reshape_37 = sin_emb_18 = None
+        add_37 = mul_45 + mul_46
+        mul_45 = mul_46 = None
+        cat_29 = torch.cat([getitem_160, add_37], dim=2)
+        getitem_160 = add_37 = None
+        q_19 = cat_29.type_as(v_9)
+        cat_29 = None
+        getitem_166 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_167 = k_18[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_18 = None
+        tensor_split_19 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_19 = tensor_split_19[0]
+        cos_emb_19 = tensor_split_19[1]
+        tensor_split_19 = None
+        mul_47 = getitem_167 * cos_emb_19
+        cos_emb_19 = None
+        getitem_170 = getitem_167[(Ellipsis, slice(1, None, 2))]
+        neg_19 = -getitem_170
+        getitem_170 = None
+        getitem_171 = getitem_167[(Ellipsis, slice(None, None, 2))]
+        getitem_167 = None
+        stack_19 = torch.stack([neg_19, getitem_171], -1)
+        neg_19 = getitem_171 = None
+        reshape_38 = stack_19.reshape((1, 3, 256, 64))
+        stack_19 = None
+        mul_48 = reshape_38 * sin_emb_19
+        reshape_38 = sin_emb_19 = None
+        add_38 = mul_47 + mul_48
+        mul_47 = mul_48 = None
+        cat_30 = torch.cat([getitem_166, add_38], dim=2)
+        getitem_166 = add_38 = None
+        k_19 = cat_30.type_as(v_9)
+        cat_30 = None
+        x_123 = torch._C._nn.scaled_dot_product_attention(
+            q_19, k_19, v_9, attn_mask=None, dropout_p=0.0
+        )
+        q_19 = k_19 = v_9 = None
+        transpose_10 = x_123.transpose(1, 2)
+        x_123 = None
+        x_124 = transpose_10.reshape(1, 257, 192)
+        transpose_10 = None
+        x_125 = torch._C._nn.linear(
+            x_124,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.dropout(x_125, 0.0, False, False)
+        x_125 = None
+        x_127 = x_121 + x_126
+        x_121 = x_126 = None
+        x_128 = torch.nn.functional.layer_norm(
+            x_127,
+            (192,),
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        ) = None
+        x_129 = torch._C._nn.linear(
+            x_128,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_9 = x_129.chunk(2, dim=-1)
+        x_129 = None
+        x1_9 = chunk_9[0]
+        x2_9 = chunk_9[1]
+        chunk_9 = None
+        silu_9 = torch.nn.functional.silu(x1_9, inplace=False)
+        x1_9 = None
+        x_130 = silu_9 * x2_9
+        silu_9 = x2_9 = None
+        x_131 = torch.nn.functional.dropout(x_130, 0.0, False, False)
+        x_130 = None
+        x_132 = torch._C._nn.linear(
+            x_131,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_133 = torch.nn.functional.dropout(x_132, 0.0, False, False)
+        x_132 = None
+        x_134 = x_127 + x_133
+        x_127 = x_133 = None
+        x_135 = torch.nn.functional.layer_norm(
+            x_134,
+            (192,),
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_10 = torch.cat(
+            (
+                l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_ = None
+        qkv_20 = torch._C._nn.linear(
+            x_135,
+            weight=l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_10,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_10 = None
+        reshape_40 = qkv_20.reshape(1, 257, 3, 3, -1)
+        qkv_20 = None
+        qkv_21 = reshape_40.permute(2, 0, 3, 1, 4)
+        reshape_40 = None
+        unbind_10 = qkv_21.unbind(0)
+        qkv_21 = None
+        q_20 = unbind_10[0]
+        k_20 = unbind_10[1]
+        v_10 = unbind_10[2]
+        unbind_10 = None
+        getitem_177 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_178 = q_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_20 = None
+        tensor_split_20 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_20 = tensor_split_20[0]
+        cos_emb_20 = tensor_split_20[1]
+        tensor_split_20 = None
+        mul_50 = getitem_178 * cos_emb_20
+        cos_emb_20 = None
+        getitem_181 = getitem_178[(Ellipsis, slice(1, None, 2))]
+        neg_20 = -getitem_181
+        getitem_181 = None
+        getitem_182 = getitem_178[(Ellipsis, slice(None, None, 2))]
+        getitem_178 = None
+        stack_20 = torch.stack([neg_20, getitem_182], -1)
+        neg_20 = getitem_182 = None
+        reshape_41 = stack_20.reshape((1, 3, 256, 64))
+        stack_20 = None
+        mul_51 = reshape_41 * sin_emb_20
+        reshape_41 = sin_emb_20 = None
+        add_41 = mul_50 + mul_51
+        mul_50 = mul_51 = None
+        cat_32 = torch.cat([getitem_177, add_41], dim=2)
+        getitem_177 = add_41 = None
+        q_21 = cat_32.type_as(v_10)
+        cat_32 = None
+        getitem_183 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_184 = k_20[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_20 = None
+        tensor_split_21 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_21 = tensor_split_21[0]
+        cos_emb_21 = tensor_split_21[1]
+        tensor_split_21 = None
+        mul_52 = getitem_184 * cos_emb_21
+        cos_emb_21 = None
+        getitem_187 = getitem_184[(Ellipsis, slice(1, None, 2))]
+        neg_21 = -getitem_187
+        getitem_187 = None
+        getitem_188 = getitem_184[(Ellipsis, slice(None, None, 2))]
+        getitem_184 = None
+        stack_21 = torch.stack([neg_21, getitem_188], -1)
+        neg_21 = getitem_188 = None
+        reshape_42 = stack_21.reshape((1, 3, 256, 64))
+        stack_21 = None
+        mul_53 = reshape_42 * sin_emb_21
+        reshape_42 = sin_emb_21 = None
+        add_42 = mul_52 + mul_53
+        mul_52 = mul_53 = None
+        cat_33 = torch.cat([getitem_183, add_42], dim=2)
+        getitem_183 = add_42 = None
+        k_21 = cat_33.type_as(v_10)
+        cat_33 = None
+        x_136 = torch._C._nn.scaled_dot_product_attention(
+            q_21, k_21, v_10, attn_mask=None, dropout_p=0.0
+        )
+        q_21 = k_21 = v_10 = None
+        transpose_11 = x_136.transpose(1, 2)
+        x_136 = None
+        x_137 = transpose_11.reshape(1, 257, 192)
+        transpose_11 = None
+        x_138 = torch._C._nn.linear(
+            x_137,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_137 = l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_139 = torch.nn.functional.dropout(x_138, 0.0, False, False)
+        x_138 = None
+        x_140 = x_134 + x_139
+        x_134 = x_139 = None
+        x_141 = torch.nn.functional.layer_norm(
+            x_140,
+            (192,),
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        ) = None
+        x_142 = torch._C._nn.linear(
+            x_141,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_10 = x_142.chunk(2, dim=-1)
+        x_142 = None
+        x1_10 = chunk_10[0]
+        x2_10 = chunk_10[1]
+        chunk_10 = None
+        silu_10 = torch.nn.functional.silu(x1_10, inplace=False)
+        x1_10 = None
+        x_143 = silu_10 * x2_10
+        silu_10 = x2_10 = None
+        x_144 = torch.nn.functional.dropout(x_143, 0.0, False, False)
+        x_143 = None
+        x_145 = torch._C._nn.linear(
+            x_144,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_146 = torch.nn.functional.dropout(x_145, 0.0, False, False)
+        x_145 = None
+        x_147 = x_140 + x_146
+        x_140 = x_146 = None
+        x_148 = torch.nn.functional.layer_norm(
+            x_147,
+            (192,),
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_11 = torch.cat(
+            (
+                l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_ = None
+        qkv_22 = torch._C._nn.linear(
+            x_148,
+            weight=l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_11,
+        )
+        x_148 = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_11 = None
+        reshape_44 = qkv_22.reshape(1, 257, 3, 3, -1)
+        qkv_22 = None
+        qkv_23 = reshape_44.permute(2, 0, 3, 1, 4)
+        reshape_44 = None
+        unbind_11 = qkv_23.unbind(0)
+        qkv_23 = None
+        q_22 = unbind_11[0]
+        k_22 = unbind_11[1]
+        v_11 = unbind_11[2]
+        unbind_11 = None
+        getitem_194 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_195 = q_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        q_22 = None
+        tensor_split_22 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        sin_emb_22 = tensor_split_22[0]
+        cos_emb_22 = tensor_split_22[1]
+        tensor_split_22 = None
+        mul_55 = getitem_195 * cos_emb_22
+        cos_emb_22 = None
+        getitem_198 = getitem_195[(Ellipsis, slice(1, None, 2))]
+        neg_22 = -getitem_198
+        getitem_198 = None
+        getitem_199 = getitem_195[(Ellipsis, slice(None, None, 2))]
+        getitem_195 = None
+        stack_22 = torch.stack([neg_22, getitem_199], -1)
+        neg_22 = getitem_199 = None
+        reshape_45 = stack_22.reshape((1, 3, 256, 64))
+        stack_22 = None
+        mul_56 = reshape_45 * sin_emb_22
+        reshape_45 = sin_emb_22 = None
+        add_45 = mul_55 + mul_56
+        mul_55 = mul_56 = None
+        cat_35 = torch.cat([getitem_194, add_45], dim=2)
+        getitem_194 = add_45 = None
+        q_23 = cat_35.type_as(v_11)
+        cat_35 = None
+        getitem_200 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(None, 1, None),
+                slice(None, None, None),
+            )
+        ]
+        getitem_201 = k_22[
+            (
+                slice(None, None, None),
+                slice(None, None, None),
+                slice(1, None, None),
+                slice(None, None, None),
+            )
+        ]
+        k_22 = None
+        tensor_split_23 = l_self_modules_rope_buffers_pos_embed_.tensor_split(2, -1)
+        l_self_modules_rope_buffers_pos_embed_ = None
+        sin_emb_23 = tensor_split_23[0]
+        cos_emb_23 = tensor_split_23[1]
+        tensor_split_23 = None
+        mul_57 = getitem_201 * cos_emb_23
+        cos_emb_23 = None
+        getitem_204 = getitem_201[(Ellipsis, slice(1, None, 2))]
+        neg_23 = -getitem_204
+        getitem_204 = None
+        getitem_205 = getitem_201[(Ellipsis, slice(None, None, 2))]
+        getitem_201 = None
+        stack_23 = torch.stack([neg_23, getitem_205], -1)
+        neg_23 = getitem_205 = None
+        reshape_46 = stack_23.reshape((1, 3, 256, 64))
+        stack_23 = None
+        mul_58 = reshape_46 * sin_emb_23
+        reshape_46 = sin_emb_23 = None
+        add_46 = mul_57 + mul_58
+        mul_57 = mul_58 = None
+        cat_36 = torch.cat([getitem_200, add_46], dim=2)
+        getitem_200 = add_46 = None
+        k_23 = cat_36.type_as(v_11)
+        cat_36 = None
+        x_149 = torch._C._nn.scaled_dot_product_attention(
+            q_23, k_23, v_11, attn_mask=None, dropout_p=0.0
+        )
+        q_23 = k_23 = v_11 = None
+        transpose_12 = x_149.transpose(1, 2)
+        x_149 = None
+        x_150 = transpose_12.reshape(1, 257, 192)
+        transpose_12 = None
+        x_151 = torch._C._nn.linear(
+            x_150,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_150 = l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_152 = torch.nn.functional.dropout(x_151, 0.0, False, False)
+        x_151 = None
+        x_153 = x_147 + x_152
+        x_147 = x_152 = None
+        x_154 = torch.nn.functional.layer_norm(
+            x_153,
+            (192,),
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        ) = None
+        x_155 = torch._C._nn.linear(
+            x_154,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        chunk_11 = x_155.chunk(2, dim=-1)
+        x_155 = None
+        x1_11 = chunk_11[0]
+        x2_11 = chunk_11[1]
+        chunk_11 = None
+        silu_11 = torch.nn.functional.silu(x1_11, inplace=False)
+        x1_11 = None
+        x_156 = silu_11 * x2_11
+        silu_11 = x2_11 = None
+        x_157 = torch.nn.functional.dropout(x_156, 0.0, False, False)
+        x_156 = None
+        x_158 = torch._C._nn.linear(
+            x_157,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_157 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_159 = torch.nn.functional.dropout(x_158, 0.0, False, False)
+        x_158 = None
+        x_160 = x_153 + x_159
+        x_153 = x_159 = None
+        x_161 = x_160[
+            (slice(None, None, None), slice(l_self_num_prefix_tokens, None, None))
+        ]
+        x_160 = l_self_num_prefix_tokens = None
+        x_162 = x_161.mean(dim=1)
+        x_161 = None
+        x_163 = torch.nn.functional.layer_norm(
+            x_162,
+            (192,),
+            l_self_modules_fc_norm_parameters_weight_,
+            l_self_modules_fc_norm_parameters_bias_,
+            1e-06,
+        )
+        x_162 = (
+            l_self_modules_fc_norm_parameters_weight_
+        ) = l_self_modules_fc_norm_parameters_bias_ = None
+        x_164 = torch.nn.functional.dropout(x_163, 0.0, False, False)
+        x_163 = None
+        return (x_164,)
diff --git a/samples/timm/eva02_tiny_patch14_224.mim_in22k/weight_meta.py b/samples/timm/eva02_tiny_patch14_224.mim_in22k/weight_meta.py
new file mode 100644
index 000000000..96fdf1ef4
--- /dev/null
+++ b/samples/timm/eva02_tiny_patch14_224.mim_in22k/weight_meta.py
@@ -0,0 +1,1796 @@
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.230
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [192, 3, 14, 14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_pos_embed_:
+    name = "L_self_parameters_pos_embed_"
+    shape = [1, 257, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_rope_buffers_pos_embed_:
+    name = "L_self_modules_rope_buffers_pos_embed_"
+    shape = [256, 128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.448
+    std = 0.547
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_cls_token_:
+    name = "L_self_parameters_cls_token_"
+    shape = [1, 1, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_"
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_"
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_"
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_"
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_"
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_"
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_"
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_"
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_"
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_"
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [576, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [192, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_num_prefix_tokens:
+    name = "L_self_num_prefix_tokens"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_norm_parameters_weight_:
+    name = "L_self_modules_fc_norm_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_norm_parameters_bias_:
+    name = "L_self_modules_fc_norm_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/eva_giant_patch14_224.clip_ft_in1k/graph_hash.txt b/samples/timm/eva_giant_patch14_224.clip_ft_in1k/graph_hash.txt
new file mode 100644
index 000000000..1756c7f07
--- /dev/null
+++ b/samples/timm/eva_giant_patch14_224.clip_ft_in1k/graph_hash.txt
@@ -0,0 +1 @@
+8278266ecdd11b4944f412dbea3292081f8709237efc93df1d3f7e9ec7ec5513
\ No newline at end of file
diff --git a/samples/timm/eva_giant_patch14_224.clip_ft_in1k/graph_net.json b/samples/timm/eva_giant_patch14_224.clip_ft_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/eva_giant_patch14_224.clip_ft_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/eva_giant_patch14_224.clip_ft_in1k/input_meta.py b/samples/timm/eva_giant_patch14_224.clip_ft_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva_giant_patch14_224.clip_ft_in1k/input_tensor_constraints.py b/samples/timm/eva_giant_patch14_224.clip_ft_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva_giant_patch14_224.clip_ft_in1k/model.py b/samples/timm/eva_giant_patch14_224.clip_ft_in1k/model.py
new file mode 100644
index 000000000..73e30e925
--- /dev/null
+++ b/samples/timm/eva_giant_patch14_224.clip_ft_in1k/model.py
@@ -0,0 +1,6126 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_parameters_pos_embed_: torch.nn.parameter.Parameter,
+        L_self_parameters_cls_token_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_num_prefix_tokens: torch.SymInt,
+        L_self_modules_fc_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_fc_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_proj_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_bias_
+        )
+        l_self_parameters_pos_embed_ = L_self_parameters_pos_embed_
+        l_self_parameters_cls_token_ = L_self_parameters_cls_token_
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_num_prefix_tokens = L_self_num_prefix_tokens
+        l_self_modules_fc_norm_parameters_weight_ = (
+            L_self_modules_fc_norm_parameters_weight_
+        )
+        l_self_modules_fc_norm_parameters_bias_ = (
+            L_self_modules_fc_norm_parameters_bias_
+        )
+        l_self_modules_head_parameters_weight_ = L_self_modules_head_parameters_weight_
+        l_self_modules_head_parameters_bias_ = L_self_modules_head_parameters_bias_
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            l_self_modules_patch_embed_modules_proj_parameters_bias_,
+            (14, 14),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_patch_embed_modules_proj_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_proj_parameters_bias_ = None
+        flatten = x.flatten(2)
+        x = None
+        x_1 = flatten.transpose(1, 2)
+        flatten = None
+        expand = l_self_parameters_cls_token_.expand(1, -1, -1)
+        l_self_parameters_cls_token_ = None
+        x_2 = torch.cat([expand, x_1], dim=1)
+        expand = x_1 = None
+        x_3 = x_2 + l_self_parameters_pos_embed_
+        x_2 = l_self_parameters_pos_embed_ = None
+        x_4 = torch.nn.functional.dropout(x_3, 0.0, False, False)
+        x_3 = None
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (1408,),
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias = torch.cat(
+            (
+                l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_ = None
+        qkv = torch._C._nn.linear(
+            x_5,
+            weight=l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias = None
+        reshape = qkv.reshape(1, 257, 3, 16, -1)
+        qkv = None
+        qkv_1 = reshape.permute(2, 0, 3, 1, 4)
+        reshape = None
+        unbind = qkv_1.unbind(0)
+        qkv_1 = None
+        q = unbind[0]
+        k = unbind[1]
+        v = unbind[2]
+        unbind = None
+        x_6 = torch._C._nn.scaled_dot_product_attention(
+            q, k, v, attn_mask=None, dropout_p=0.0
+        )
+        q = k = v = None
+        transpose_1 = x_6.transpose(1, 2)
+        x_6 = None
+        x_7 = transpose_1.reshape(1, 257, 1408)
+        transpose_1 = None
+        x_8 = torch._C._nn.linear(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_9 = torch.nn.functional.dropout(x_8, 0.0, False, False)
+        x_8 = None
+        x_10 = x_4 + x_9
+        x_4 = x_9 = None
+        x_11 = torch.nn.functional.layer_norm(
+            x_10,
+            (1408,),
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        ) = None
+        x_12 = torch._C._nn.linear(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_13 = torch._C._nn.gelu(x_12, approximate="none")
+        x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch._C._nn.linear(
+            x_14,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_10 + x_16
+        x_10 = x_16 = None
+        x_18 = torch.nn.functional.layer_norm(
+            x_17,
+            (1408,),
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_1 = torch.cat(
+            (
+                l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_ = None
+        qkv_2 = torch._C._nn.linear(
+            x_18,
+            weight=l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_1,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_1 = None
+        reshape_2 = qkv_2.reshape(1, 257, 3, 16, -1)
+        qkv_2 = None
+        qkv_3 = reshape_2.permute(2, 0, 3, 1, 4)
+        reshape_2 = None
+        unbind_1 = qkv_3.unbind(0)
+        qkv_3 = None
+        q_1 = unbind_1[0]
+        k_1 = unbind_1[1]
+        v_1 = unbind_1[2]
+        unbind_1 = None
+        x_19 = torch._C._nn.scaled_dot_product_attention(
+            q_1, k_1, v_1, attn_mask=None, dropout_p=0.0
+        )
+        q_1 = k_1 = v_1 = None
+        transpose_2 = x_19.transpose(1, 2)
+        x_19 = None
+        x_20 = transpose_2.reshape(1, 257, 1408)
+        transpose_2 = None
+        x_21 = torch._C._nn.linear(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_22 = torch.nn.functional.dropout(x_21, 0.0, False, False)
+        x_21 = None
+        x_23 = x_17 + x_22
+        x_17 = x_22 = None
+        x_24 = torch.nn.functional.layer_norm(
+            x_23,
+            (1408,),
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        ) = None
+        x_25 = torch._C._nn.linear(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_26 = torch._C._nn.gelu(x_25, approximate="none")
+        x_25 = None
+        x_27 = torch.nn.functional.dropout(x_26, 0.0, False, False)
+        x_26 = None
+        x_28 = torch._C._nn.linear(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_29 = torch.nn.functional.dropout(x_28, 0.0, False, False)
+        x_28 = None
+        x_30 = x_23 + x_29
+        x_23 = x_29 = None
+        x_31 = torch.nn.functional.layer_norm(
+            x_30,
+            (1408,),
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_2 = torch.cat(
+            (
+                l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_ = None
+        qkv_4 = torch._C._nn.linear(
+            x_31,
+            weight=l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_2,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_2 = None
+        reshape_4 = qkv_4.reshape(1, 257, 3, 16, -1)
+        qkv_4 = None
+        qkv_5 = reshape_4.permute(2, 0, 3, 1, 4)
+        reshape_4 = None
+        unbind_2 = qkv_5.unbind(0)
+        qkv_5 = None
+        q_2 = unbind_2[0]
+        k_2 = unbind_2[1]
+        v_2 = unbind_2[2]
+        unbind_2 = None
+        x_32 = torch._C._nn.scaled_dot_product_attention(
+            q_2, k_2, v_2, attn_mask=None, dropout_p=0.0
+        )
+        q_2 = k_2 = v_2 = None
+        transpose_3 = x_32.transpose(1, 2)
+        x_32 = None
+        x_33 = transpose_3.reshape(1, 257, 1408)
+        transpose_3 = None
+        x_34 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_33 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_35 = torch.nn.functional.dropout(x_34, 0.0, False, False)
+        x_34 = None
+        x_36 = x_30 + x_35
+        x_30 = x_35 = None
+        x_37 = torch.nn.functional.layer_norm(
+            x_36,
+            (1408,),
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        ) = None
+        x_38 = torch._C._nn.linear(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_39 = torch._C._nn.gelu(x_38, approximate="none")
+        x_38 = None
+        x_40 = torch.nn.functional.dropout(x_39, 0.0, False, False)
+        x_39 = None
+        x_41 = torch._C._nn.linear(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_40 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_42 = torch.nn.functional.dropout(x_41, 0.0, False, False)
+        x_41 = None
+        x_43 = x_36 + x_42
+        x_36 = x_42 = None
+        x_44 = torch.nn.functional.layer_norm(
+            x_43,
+            (1408,),
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_3 = torch.cat(
+            (
+                l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_ = None
+        qkv_6 = torch._C._nn.linear(
+            x_44,
+            weight=l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_3,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_3 = None
+        reshape_6 = qkv_6.reshape(1, 257, 3, 16, -1)
+        qkv_6 = None
+        qkv_7 = reshape_6.permute(2, 0, 3, 1, 4)
+        reshape_6 = None
+        unbind_3 = qkv_7.unbind(0)
+        qkv_7 = None
+        q_3 = unbind_3[0]
+        k_3 = unbind_3[1]
+        v_3 = unbind_3[2]
+        unbind_3 = None
+        x_45 = torch._C._nn.scaled_dot_product_attention(
+            q_3, k_3, v_3, attn_mask=None, dropout_p=0.0
+        )
+        q_3 = k_3 = v_3 = None
+        transpose_4 = x_45.transpose(1, 2)
+        x_45 = None
+        x_46 = transpose_4.reshape(1, 257, 1408)
+        transpose_4 = None
+        x_47 = torch._C._nn.linear(
+            x_46,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_43 + x_48
+        x_43 = x_48 = None
+        x_50 = torch.nn.functional.layer_norm(
+            x_49,
+            (1408,),
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        ) = None
+        x_51 = torch._C._nn.linear(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_50 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_52 = torch._C._nn.gelu(x_51, approximate="none")
+        x_51 = None
+        x_53 = torch.nn.functional.dropout(x_52, 0.0, False, False)
+        x_52 = None
+        x_54 = torch._C._nn.linear(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.dropout(x_54, 0.0, False, False)
+        x_54 = None
+        x_56 = x_49 + x_55
+        x_49 = x_55 = None
+        x_57 = torch.nn.functional.layer_norm(
+            x_56,
+            (1408,),
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_4 = torch.cat(
+            (
+                l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_ = None
+        qkv_8 = torch._C._nn.linear(
+            x_57,
+            weight=l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_4,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_4 = None
+        reshape_8 = qkv_8.reshape(1, 257, 3, 16, -1)
+        qkv_8 = None
+        qkv_9 = reshape_8.permute(2, 0, 3, 1, 4)
+        reshape_8 = None
+        unbind_4 = qkv_9.unbind(0)
+        qkv_9 = None
+        q_4 = unbind_4[0]
+        k_4 = unbind_4[1]
+        v_4 = unbind_4[2]
+        unbind_4 = None
+        x_58 = torch._C._nn.scaled_dot_product_attention(
+            q_4, k_4, v_4, attn_mask=None, dropout_p=0.0
+        )
+        q_4 = k_4 = v_4 = None
+        transpose_5 = x_58.transpose(1, 2)
+        x_58 = None
+        x_59 = transpose_5.reshape(1, 257, 1408)
+        transpose_5 = None
+        x_60 = torch._C._nn.linear(
+            x_59,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.dropout(x_60, 0.0, False, False)
+        x_60 = None
+        x_62 = x_56 + x_61
+        x_56 = x_61 = None
+        x_63 = torch.nn.functional.layer_norm(
+            x_62,
+            (1408,),
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        ) = None
+        x_64 = torch._C._nn.linear(
+            x_63,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_65 = torch._C._nn.gelu(x_64, approximate="none")
+        x_64 = None
+        x_66 = torch.nn.functional.dropout(x_65, 0.0, False, False)
+        x_65 = None
+        x_67 = torch._C._nn.linear(
+            x_66,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_68 = torch.nn.functional.dropout(x_67, 0.0, False, False)
+        x_67 = None
+        x_69 = x_62 + x_68
+        x_62 = x_68 = None
+        x_70 = torch.nn.functional.layer_norm(
+            x_69,
+            (1408,),
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_5 = torch.cat(
+            (
+                l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_ = None
+        qkv_10 = torch._C._nn.linear(
+            x_70,
+            weight=l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_5,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_5 = None
+        reshape_10 = qkv_10.reshape(1, 257, 3, 16, -1)
+        qkv_10 = None
+        qkv_11 = reshape_10.permute(2, 0, 3, 1, 4)
+        reshape_10 = None
+        unbind_5 = qkv_11.unbind(0)
+        qkv_11 = None
+        q_5 = unbind_5[0]
+        k_5 = unbind_5[1]
+        v_5 = unbind_5[2]
+        unbind_5 = None
+        x_71 = torch._C._nn.scaled_dot_product_attention(
+            q_5, k_5, v_5, attn_mask=None, dropout_p=0.0
+        )
+        q_5 = k_5 = v_5 = None
+        transpose_6 = x_71.transpose(1, 2)
+        x_71 = None
+        x_72 = transpose_6.reshape(1, 257, 1408)
+        transpose_6 = None
+        x_73 = torch._C._nn.linear(
+            x_72,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_74 = torch.nn.functional.dropout(x_73, 0.0, False, False)
+        x_73 = None
+        x_75 = x_69 + x_74
+        x_69 = x_74 = None
+        x_76 = torch.nn.functional.layer_norm(
+            x_75,
+            (1408,),
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        ) = None
+        x_77 = torch._C._nn.linear(
+            x_76,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_78 = torch._C._nn.gelu(x_77, approximate="none")
+        x_77 = None
+        x_79 = torch.nn.functional.dropout(x_78, 0.0, False, False)
+        x_78 = None
+        x_80 = torch._C._nn.linear(
+            x_79,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.dropout(x_80, 0.0, False, False)
+        x_80 = None
+        x_82 = x_75 + x_81
+        x_75 = x_81 = None
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (1408,),
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_6 = torch.cat(
+            (
+                l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_ = None
+        qkv_12 = torch._C._nn.linear(
+            x_83,
+            weight=l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_6,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_6 = None
+        reshape_12 = qkv_12.reshape(1, 257, 3, 16, -1)
+        qkv_12 = None
+        qkv_13 = reshape_12.permute(2, 0, 3, 1, 4)
+        reshape_12 = None
+        unbind_6 = qkv_13.unbind(0)
+        qkv_13 = None
+        q_6 = unbind_6[0]
+        k_6 = unbind_6[1]
+        v_6 = unbind_6[2]
+        unbind_6 = None
+        x_84 = torch._C._nn.scaled_dot_product_attention(
+            q_6, k_6, v_6, attn_mask=None, dropout_p=0.0
+        )
+        q_6 = k_6 = v_6 = None
+        transpose_7 = x_84.transpose(1, 2)
+        x_84 = None
+        x_85 = transpose_7.reshape(1, 257, 1408)
+        transpose_7 = None
+        x_86 = torch._C._nn.linear(
+            x_85,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.dropout(x_86, 0.0, False, False)
+        x_86 = None
+        x_88 = x_82 + x_87
+        x_82 = x_87 = None
+        x_89 = torch.nn.functional.layer_norm(
+            x_88,
+            (1408,),
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        ) = None
+        x_90 = torch._C._nn.linear(
+            x_89,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_89 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_91 = torch._C._nn.gelu(x_90, approximate="none")
+        x_90 = None
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = torch._C._nn.linear(
+            x_92,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_94 = torch.nn.functional.dropout(x_93, 0.0, False, False)
+        x_93 = None
+        x_95 = x_88 + x_94
+        x_88 = x_94 = None
+        x_96 = torch.nn.functional.layer_norm(
+            x_95,
+            (1408,),
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_7 = torch.cat(
+            (
+                l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_ = None
+        qkv_14 = torch._C._nn.linear(
+            x_96,
+            weight=l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_7,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_7 = None
+        reshape_14 = qkv_14.reshape(1, 257, 3, 16, -1)
+        qkv_14 = None
+        qkv_15 = reshape_14.permute(2, 0, 3, 1, 4)
+        reshape_14 = None
+        unbind_7 = qkv_15.unbind(0)
+        qkv_15 = None
+        q_7 = unbind_7[0]
+        k_7 = unbind_7[1]
+        v_7 = unbind_7[2]
+        unbind_7 = None
+        x_97 = torch._C._nn.scaled_dot_product_attention(
+            q_7, k_7, v_7, attn_mask=None, dropout_p=0.0
+        )
+        q_7 = k_7 = v_7 = None
+        transpose_8 = x_97.transpose(1, 2)
+        x_97 = None
+        x_98 = transpose_8.reshape(1, 257, 1408)
+        transpose_8 = None
+        x_99 = torch._C._nn.linear(
+            x_98,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_100 = torch.nn.functional.dropout(x_99, 0.0, False, False)
+        x_99 = None
+        x_101 = x_95 + x_100
+        x_95 = x_100 = None
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (1408,),
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        ) = None
+        x_103 = torch._C._nn.linear(
+            x_102,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_104 = torch._C._nn.gelu(x_103, approximate="none")
+        x_103 = None
+        x_105 = torch.nn.functional.dropout(x_104, 0.0, False, False)
+        x_104 = None
+        x_106 = torch._C._nn.linear(
+            x_105,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_107 = torch.nn.functional.dropout(x_106, 0.0, False, False)
+        x_106 = None
+        x_108 = x_101 + x_107
+        x_101 = x_107 = None
+        x_109 = torch.nn.functional.layer_norm(
+            x_108,
+            (1408,),
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_8 = torch.cat(
+            (
+                l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_ = None
+        qkv_16 = torch._C._nn.linear(
+            x_109,
+            weight=l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_8,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_8 = None
+        reshape_16 = qkv_16.reshape(1, 257, 3, 16, -1)
+        qkv_16 = None
+        qkv_17 = reshape_16.permute(2, 0, 3, 1, 4)
+        reshape_16 = None
+        unbind_8 = qkv_17.unbind(0)
+        qkv_17 = None
+        q_8 = unbind_8[0]
+        k_8 = unbind_8[1]
+        v_8 = unbind_8[2]
+        unbind_8 = None
+        x_110 = torch._C._nn.scaled_dot_product_attention(
+            q_8, k_8, v_8, attn_mask=None, dropout_p=0.0
+        )
+        q_8 = k_8 = v_8 = None
+        transpose_9 = x_110.transpose(1, 2)
+        x_110 = None
+        x_111 = transpose_9.reshape(1, 257, 1408)
+        transpose_9 = None
+        x_112 = torch._C._nn.linear(
+            x_111,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_113 = torch.nn.functional.dropout(x_112, 0.0, False, False)
+        x_112 = None
+        x_114 = x_108 + x_113
+        x_108 = x_113 = None
+        x_115 = torch.nn.functional.layer_norm(
+            x_114,
+            (1408,),
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        ) = None
+        x_116 = torch._C._nn.linear(
+            x_115,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_117 = torch._C._nn.gelu(x_116, approximate="none")
+        x_116 = None
+        x_118 = torch.nn.functional.dropout(x_117, 0.0, False, False)
+        x_117 = None
+        x_119 = torch._C._nn.linear(
+            x_118,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = x_114 + x_120
+        x_114 = x_120 = None
+        x_122 = torch.nn.functional.layer_norm(
+            x_121,
+            (1408,),
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_9 = torch.cat(
+            (
+                l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_ = None
+        qkv_18 = torch._C._nn.linear(
+            x_122,
+            weight=l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_9,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_9 = None
+        reshape_18 = qkv_18.reshape(1, 257, 3, 16, -1)
+        qkv_18 = None
+        qkv_19 = reshape_18.permute(2, 0, 3, 1, 4)
+        reshape_18 = None
+        unbind_9 = qkv_19.unbind(0)
+        qkv_19 = None
+        q_9 = unbind_9[0]
+        k_9 = unbind_9[1]
+        v_9 = unbind_9[2]
+        unbind_9 = None
+        x_123 = torch._C._nn.scaled_dot_product_attention(
+            q_9, k_9, v_9, attn_mask=None, dropout_p=0.0
+        )
+        q_9 = k_9 = v_9 = None
+        transpose_10 = x_123.transpose(1, 2)
+        x_123 = None
+        x_124 = transpose_10.reshape(1, 257, 1408)
+        transpose_10 = None
+        x_125 = torch._C._nn.linear(
+            x_124,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.dropout(x_125, 0.0, False, False)
+        x_125 = None
+        x_127 = x_121 + x_126
+        x_121 = x_126 = None
+        x_128 = torch.nn.functional.layer_norm(
+            x_127,
+            (1408,),
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        ) = None
+        x_129 = torch._C._nn.linear(
+            x_128,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_130 = torch._C._nn.gelu(x_129, approximate="none")
+        x_129 = None
+        x_131 = torch.nn.functional.dropout(x_130, 0.0, False, False)
+        x_130 = None
+        x_132 = torch._C._nn.linear(
+            x_131,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_133 = torch.nn.functional.dropout(x_132, 0.0, False, False)
+        x_132 = None
+        x_134 = x_127 + x_133
+        x_127 = x_133 = None
+        x_135 = torch.nn.functional.layer_norm(
+            x_134,
+            (1408,),
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_10 = torch.cat(
+            (
+                l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_ = None
+        qkv_20 = torch._C._nn.linear(
+            x_135,
+            weight=l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_10,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_10 = None
+        reshape_20 = qkv_20.reshape(1, 257, 3, 16, -1)
+        qkv_20 = None
+        qkv_21 = reshape_20.permute(2, 0, 3, 1, 4)
+        reshape_20 = None
+        unbind_10 = qkv_21.unbind(0)
+        qkv_21 = None
+        q_10 = unbind_10[0]
+        k_10 = unbind_10[1]
+        v_10 = unbind_10[2]
+        unbind_10 = None
+        x_136 = torch._C._nn.scaled_dot_product_attention(
+            q_10, k_10, v_10, attn_mask=None, dropout_p=0.0
+        )
+        q_10 = k_10 = v_10 = None
+        transpose_11 = x_136.transpose(1, 2)
+        x_136 = None
+        x_137 = transpose_11.reshape(1, 257, 1408)
+        transpose_11 = None
+        x_138 = torch._C._nn.linear(
+            x_137,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_137 = l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_139 = torch.nn.functional.dropout(x_138, 0.0, False, False)
+        x_138 = None
+        x_140 = x_134 + x_139
+        x_134 = x_139 = None
+        x_141 = torch.nn.functional.layer_norm(
+            x_140,
+            (1408,),
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        ) = None
+        x_142 = torch._C._nn.linear(
+            x_141,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_143 = torch._C._nn.gelu(x_142, approximate="none")
+        x_142 = None
+        x_144 = torch.nn.functional.dropout(x_143, 0.0, False, False)
+        x_143 = None
+        x_145 = torch._C._nn.linear(
+            x_144,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_146 = torch.nn.functional.dropout(x_145, 0.0, False, False)
+        x_145 = None
+        x_147 = x_140 + x_146
+        x_140 = x_146 = None
+        x_148 = torch.nn.functional.layer_norm(
+            x_147,
+            (1408,),
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_11 = torch.cat(
+            (
+                l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_ = None
+        qkv_22 = torch._C._nn.linear(
+            x_148,
+            weight=l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_11,
+        )
+        x_148 = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_11 = None
+        reshape_22 = qkv_22.reshape(1, 257, 3, 16, -1)
+        qkv_22 = None
+        qkv_23 = reshape_22.permute(2, 0, 3, 1, 4)
+        reshape_22 = None
+        unbind_11 = qkv_23.unbind(0)
+        qkv_23 = None
+        q_11 = unbind_11[0]
+        k_11 = unbind_11[1]
+        v_11 = unbind_11[2]
+        unbind_11 = None
+        x_149 = torch._C._nn.scaled_dot_product_attention(
+            q_11, k_11, v_11, attn_mask=None, dropout_p=0.0
+        )
+        q_11 = k_11 = v_11 = None
+        transpose_12 = x_149.transpose(1, 2)
+        x_149 = None
+        x_150 = transpose_12.reshape(1, 257, 1408)
+        transpose_12 = None
+        x_151 = torch._C._nn.linear(
+            x_150,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_150 = l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_152 = torch.nn.functional.dropout(x_151, 0.0, False, False)
+        x_151 = None
+        x_153 = x_147 + x_152
+        x_147 = x_152 = None
+        x_154 = torch.nn.functional.layer_norm(
+            x_153,
+            (1408,),
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        ) = None
+        x_155 = torch._C._nn.linear(
+            x_154,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_156 = torch._C._nn.gelu(x_155, approximate="none")
+        x_155 = None
+        x_157 = torch.nn.functional.dropout(x_156, 0.0, False, False)
+        x_156 = None
+        x_158 = torch._C._nn.linear(
+            x_157,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_157 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_159 = torch.nn.functional.dropout(x_158, 0.0, False, False)
+        x_158 = None
+        x_160 = x_153 + x_159
+        x_153 = x_159 = None
+        x_161 = torch.nn.functional.layer_norm(
+            x_160,
+            (1408,),
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_12 = torch.cat(
+            (
+                l_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_ = None
+        qkv_24 = torch._C._nn.linear(
+            x_161,
+            weight=l_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_12,
+        )
+        x_161 = (
+            l_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_12 = None
+        reshape_24 = qkv_24.reshape(1, 257, 3, 16, -1)
+        qkv_24 = None
+        qkv_25 = reshape_24.permute(2, 0, 3, 1, 4)
+        reshape_24 = None
+        unbind_12 = qkv_25.unbind(0)
+        qkv_25 = None
+        q_12 = unbind_12[0]
+        k_12 = unbind_12[1]
+        v_12 = unbind_12[2]
+        unbind_12 = None
+        x_162 = torch._C._nn.scaled_dot_product_attention(
+            q_12, k_12, v_12, attn_mask=None, dropout_p=0.0
+        )
+        q_12 = k_12 = v_12 = None
+        transpose_13 = x_162.transpose(1, 2)
+        x_162 = None
+        x_163 = transpose_13.reshape(1, 257, 1408)
+        transpose_13 = None
+        x_164 = torch._C._nn.linear(
+            x_163,
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_163 = l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_165 = torch.nn.functional.dropout(x_164, 0.0, False, False)
+        x_164 = None
+        x_166 = x_160 + x_165
+        x_160 = x_165 = None
+        x_167 = torch.nn.functional.layer_norm(
+            x_166,
+            (1408,),
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        ) = None
+        x_168 = torch._C._nn.linear(
+            x_167,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_167 = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_169 = torch._C._nn.gelu(x_168, approximate="none")
+        x_168 = None
+        x_170 = torch.nn.functional.dropout(x_169, 0.0, False, False)
+        x_169 = None
+        x_171 = torch._C._nn.linear(
+            x_170,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_170 = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_172 = torch.nn.functional.dropout(x_171, 0.0, False, False)
+        x_171 = None
+        x_173 = x_166 + x_172
+        x_166 = x_172 = None
+        x_174 = torch.nn.functional.layer_norm(
+            x_173,
+            (1408,),
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_13 = torch.cat(
+            (
+                l_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_ = None
+        qkv_26 = torch._C._nn.linear(
+            x_174,
+            weight=l_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_13,
+        )
+        x_174 = (
+            l_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_13 = None
+        reshape_26 = qkv_26.reshape(1, 257, 3, 16, -1)
+        qkv_26 = None
+        qkv_27 = reshape_26.permute(2, 0, 3, 1, 4)
+        reshape_26 = None
+        unbind_13 = qkv_27.unbind(0)
+        qkv_27 = None
+        q_13 = unbind_13[0]
+        k_13 = unbind_13[1]
+        v_13 = unbind_13[2]
+        unbind_13 = None
+        x_175 = torch._C._nn.scaled_dot_product_attention(
+            q_13, k_13, v_13, attn_mask=None, dropout_p=0.0
+        )
+        q_13 = k_13 = v_13 = None
+        transpose_14 = x_175.transpose(1, 2)
+        x_175 = None
+        x_176 = transpose_14.reshape(1, 257, 1408)
+        transpose_14 = None
+        x_177 = torch._C._nn.linear(
+            x_176,
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_176 = l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_178 = torch.nn.functional.dropout(x_177, 0.0, False, False)
+        x_177 = None
+        x_179 = x_173 + x_178
+        x_173 = x_178 = None
+        x_180 = torch.nn.functional.layer_norm(
+            x_179,
+            (1408,),
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        ) = None
+        x_181 = torch._C._nn.linear(
+            x_180,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_180 = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_182 = torch._C._nn.gelu(x_181, approximate="none")
+        x_181 = None
+        x_183 = torch.nn.functional.dropout(x_182, 0.0, False, False)
+        x_182 = None
+        x_184 = torch._C._nn.linear(
+            x_183,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_183 = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_185 = torch.nn.functional.dropout(x_184, 0.0, False, False)
+        x_184 = None
+        x_186 = x_179 + x_185
+        x_179 = x_185 = None
+        x_187 = torch.nn.functional.layer_norm(
+            x_186,
+            (1408,),
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_14 = torch.cat(
+            (
+                l_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_ = None
+        qkv_28 = torch._C._nn.linear(
+            x_187,
+            weight=l_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_14,
+        )
+        x_187 = (
+            l_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_14 = None
+        reshape_28 = qkv_28.reshape(1, 257, 3, 16, -1)
+        qkv_28 = None
+        qkv_29 = reshape_28.permute(2, 0, 3, 1, 4)
+        reshape_28 = None
+        unbind_14 = qkv_29.unbind(0)
+        qkv_29 = None
+        q_14 = unbind_14[0]
+        k_14 = unbind_14[1]
+        v_14 = unbind_14[2]
+        unbind_14 = None
+        x_188 = torch._C._nn.scaled_dot_product_attention(
+            q_14, k_14, v_14, attn_mask=None, dropout_p=0.0
+        )
+        q_14 = k_14 = v_14 = None
+        transpose_15 = x_188.transpose(1, 2)
+        x_188 = None
+        x_189 = transpose_15.reshape(1, 257, 1408)
+        transpose_15 = None
+        x_190 = torch._C._nn.linear(
+            x_189,
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_189 = l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_191 = torch.nn.functional.dropout(x_190, 0.0, False, False)
+        x_190 = None
+        x_192 = x_186 + x_191
+        x_186 = x_191 = None
+        x_193 = torch.nn.functional.layer_norm(
+            x_192,
+            (1408,),
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        ) = None
+        x_194 = torch._C._nn.linear(
+            x_193,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_193 = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_195 = torch._C._nn.gelu(x_194, approximate="none")
+        x_194 = None
+        x_196 = torch.nn.functional.dropout(x_195, 0.0, False, False)
+        x_195 = None
+        x_197 = torch._C._nn.linear(
+            x_196,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_196 = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_198 = torch.nn.functional.dropout(x_197, 0.0, False, False)
+        x_197 = None
+        x_199 = x_192 + x_198
+        x_192 = x_198 = None
+        x_200 = torch.nn.functional.layer_norm(
+            x_199,
+            (1408,),
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_15 = torch.cat(
+            (
+                l_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_ = None
+        qkv_30 = torch._C._nn.linear(
+            x_200,
+            weight=l_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_15,
+        )
+        x_200 = (
+            l_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_15 = None
+        reshape_30 = qkv_30.reshape(1, 257, 3, 16, -1)
+        qkv_30 = None
+        qkv_31 = reshape_30.permute(2, 0, 3, 1, 4)
+        reshape_30 = None
+        unbind_15 = qkv_31.unbind(0)
+        qkv_31 = None
+        q_15 = unbind_15[0]
+        k_15 = unbind_15[1]
+        v_15 = unbind_15[2]
+        unbind_15 = None
+        x_201 = torch._C._nn.scaled_dot_product_attention(
+            q_15, k_15, v_15, attn_mask=None, dropout_p=0.0
+        )
+        q_15 = k_15 = v_15 = None
+        transpose_16 = x_201.transpose(1, 2)
+        x_201 = None
+        x_202 = transpose_16.reshape(1, 257, 1408)
+        transpose_16 = None
+        x_203 = torch._C._nn.linear(
+            x_202,
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_202 = l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_204 = torch.nn.functional.dropout(x_203, 0.0, False, False)
+        x_203 = None
+        x_205 = x_199 + x_204
+        x_199 = x_204 = None
+        x_206 = torch.nn.functional.layer_norm(
+            x_205,
+            (1408,),
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        ) = None
+        x_207 = torch._C._nn.linear(
+            x_206,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_206 = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_208 = torch._C._nn.gelu(x_207, approximate="none")
+        x_207 = None
+        x_209 = torch.nn.functional.dropout(x_208, 0.0, False, False)
+        x_208 = None
+        x_210 = torch._C._nn.linear(
+            x_209,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_209 = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_211 = torch.nn.functional.dropout(x_210, 0.0, False, False)
+        x_210 = None
+        x_212 = x_205 + x_211
+        x_205 = x_211 = None
+        x_213 = torch.nn.functional.layer_norm(
+            x_212,
+            (1408,),
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_16 = torch.cat(
+            (
+                l_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_ = None
+        qkv_32 = torch._C._nn.linear(
+            x_213,
+            weight=l_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_16,
+        )
+        x_213 = (
+            l_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_16 = None
+        reshape_32 = qkv_32.reshape(1, 257, 3, 16, -1)
+        qkv_32 = None
+        qkv_33 = reshape_32.permute(2, 0, 3, 1, 4)
+        reshape_32 = None
+        unbind_16 = qkv_33.unbind(0)
+        qkv_33 = None
+        q_16 = unbind_16[0]
+        k_16 = unbind_16[1]
+        v_16 = unbind_16[2]
+        unbind_16 = None
+        x_214 = torch._C._nn.scaled_dot_product_attention(
+            q_16, k_16, v_16, attn_mask=None, dropout_p=0.0
+        )
+        q_16 = k_16 = v_16 = None
+        transpose_17 = x_214.transpose(1, 2)
+        x_214 = None
+        x_215 = transpose_17.reshape(1, 257, 1408)
+        transpose_17 = None
+        x_216 = torch._C._nn.linear(
+            x_215,
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_215 = l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_217 = torch.nn.functional.dropout(x_216, 0.0, False, False)
+        x_216 = None
+        x_218 = x_212 + x_217
+        x_212 = x_217 = None
+        x_219 = torch.nn.functional.layer_norm(
+            x_218,
+            (1408,),
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        ) = None
+        x_220 = torch._C._nn.linear(
+            x_219,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_219 = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_221 = torch._C._nn.gelu(x_220, approximate="none")
+        x_220 = None
+        x_222 = torch.nn.functional.dropout(x_221, 0.0, False, False)
+        x_221 = None
+        x_223 = torch._C._nn.linear(
+            x_222,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_222 = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_224 = torch.nn.functional.dropout(x_223, 0.0, False, False)
+        x_223 = None
+        x_225 = x_218 + x_224
+        x_218 = x_224 = None
+        x_226 = torch.nn.functional.layer_norm(
+            x_225,
+            (1408,),
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_17 = torch.cat(
+            (
+                l_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_ = None
+        qkv_34 = torch._C._nn.linear(
+            x_226,
+            weight=l_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_17,
+        )
+        x_226 = (
+            l_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_17 = None
+        reshape_34 = qkv_34.reshape(1, 257, 3, 16, -1)
+        qkv_34 = None
+        qkv_35 = reshape_34.permute(2, 0, 3, 1, 4)
+        reshape_34 = None
+        unbind_17 = qkv_35.unbind(0)
+        qkv_35 = None
+        q_17 = unbind_17[0]
+        k_17 = unbind_17[1]
+        v_17 = unbind_17[2]
+        unbind_17 = None
+        x_227 = torch._C._nn.scaled_dot_product_attention(
+            q_17, k_17, v_17, attn_mask=None, dropout_p=0.0
+        )
+        q_17 = k_17 = v_17 = None
+        transpose_18 = x_227.transpose(1, 2)
+        x_227 = None
+        x_228 = transpose_18.reshape(1, 257, 1408)
+        transpose_18 = None
+        x_229 = torch._C._nn.linear(
+            x_228,
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_228 = l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_230 = torch.nn.functional.dropout(x_229, 0.0, False, False)
+        x_229 = None
+        x_231 = x_225 + x_230
+        x_225 = x_230 = None
+        x_232 = torch.nn.functional.layer_norm(
+            x_231,
+            (1408,),
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        ) = None
+        x_233 = torch._C._nn.linear(
+            x_232,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_232 = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_234 = torch._C._nn.gelu(x_233, approximate="none")
+        x_233 = None
+        x_235 = torch.nn.functional.dropout(x_234, 0.0, False, False)
+        x_234 = None
+        x_236 = torch._C._nn.linear(
+            x_235,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_235 = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_237 = torch.nn.functional.dropout(x_236, 0.0, False, False)
+        x_236 = None
+        x_238 = x_231 + x_237
+        x_231 = x_237 = None
+        x_239 = torch.nn.functional.layer_norm(
+            x_238,
+            (1408,),
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_18 = torch.cat(
+            (
+                l_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_ = None
+        qkv_36 = torch._C._nn.linear(
+            x_239,
+            weight=l_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_18,
+        )
+        x_239 = (
+            l_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_18 = None
+        reshape_36 = qkv_36.reshape(1, 257, 3, 16, -1)
+        qkv_36 = None
+        qkv_37 = reshape_36.permute(2, 0, 3, 1, 4)
+        reshape_36 = None
+        unbind_18 = qkv_37.unbind(0)
+        qkv_37 = None
+        q_18 = unbind_18[0]
+        k_18 = unbind_18[1]
+        v_18 = unbind_18[2]
+        unbind_18 = None
+        x_240 = torch._C._nn.scaled_dot_product_attention(
+            q_18, k_18, v_18, attn_mask=None, dropout_p=0.0
+        )
+        q_18 = k_18 = v_18 = None
+        transpose_19 = x_240.transpose(1, 2)
+        x_240 = None
+        x_241 = transpose_19.reshape(1, 257, 1408)
+        transpose_19 = None
+        x_242 = torch._C._nn.linear(
+            x_241,
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_241 = l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_243 = torch.nn.functional.dropout(x_242, 0.0, False, False)
+        x_242 = None
+        x_244 = x_238 + x_243
+        x_238 = x_243 = None
+        x_245 = torch.nn.functional.layer_norm(
+            x_244,
+            (1408,),
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_
+        ) = None
+        x_246 = torch._C._nn.linear(
+            x_245,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_245 = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_247 = torch._C._nn.gelu(x_246, approximate="none")
+        x_246 = None
+        x_248 = torch.nn.functional.dropout(x_247, 0.0, False, False)
+        x_247 = None
+        x_249 = torch._C._nn.linear(
+            x_248,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_248 = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_250 = torch.nn.functional.dropout(x_249, 0.0, False, False)
+        x_249 = None
+        x_251 = x_244 + x_250
+        x_244 = x_250 = None
+        x_252 = torch.nn.functional.layer_norm(
+            x_251,
+            (1408,),
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_19 = torch.cat(
+            (
+                l_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_ = None
+        qkv_38 = torch._C._nn.linear(
+            x_252,
+            weight=l_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_19,
+        )
+        x_252 = (
+            l_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_19 = None
+        reshape_38 = qkv_38.reshape(1, 257, 3, 16, -1)
+        qkv_38 = None
+        qkv_39 = reshape_38.permute(2, 0, 3, 1, 4)
+        reshape_38 = None
+        unbind_19 = qkv_39.unbind(0)
+        qkv_39 = None
+        q_19 = unbind_19[0]
+        k_19 = unbind_19[1]
+        v_19 = unbind_19[2]
+        unbind_19 = None
+        x_253 = torch._C._nn.scaled_dot_product_attention(
+            q_19, k_19, v_19, attn_mask=None, dropout_p=0.0
+        )
+        q_19 = k_19 = v_19 = None
+        transpose_20 = x_253.transpose(1, 2)
+        x_253 = None
+        x_254 = transpose_20.reshape(1, 257, 1408)
+        transpose_20 = None
+        x_255 = torch._C._nn.linear(
+            x_254,
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_254 = l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_256 = torch.nn.functional.dropout(x_255, 0.0, False, False)
+        x_255 = None
+        x_257 = x_251 + x_256
+        x_251 = x_256 = None
+        x_258 = torch.nn.functional.layer_norm(
+            x_257,
+            (1408,),
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_
+        ) = None
+        x_259 = torch._C._nn.linear(
+            x_258,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_258 = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_260 = torch._C._nn.gelu(x_259, approximate="none")
+        x_259 = None
+        x_261 = torch.nn.functional.dropout(x_260, 0.0, False, False)
+        x_260 = None
+        x_262 = torch._C._nn.linear(
+            x_261,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_261 = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_263 = torch.nn.functional.dropout(x_262, 0.0, False, False)
+        x_262 = None
+        x_264 = x_257 + x_263
+        x_257 = x_263 = None
+        x_265 = torch.nn.functional.layer_norm(
+            x_264,
+            (1408,),
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_20 = torch.cat(
+            (
+                l_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_ = None
+        qkv_40 = torch._C._nn.linear(
+            x_265,
+            weight=l_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_20,
+        )
+        x_265 = (
+            l_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_20 = None
+        reshape_40 = qkv_40.reshape(1, 257, 3, 16, -1)
+        qkv_40 = None
+        qkv_41 = reshape_40.permute(2, 0, 3, 1, 4)
+        reshape_40 = None
+        unbind_20 = qkv_41.unbind(0)
+        qkv_41 = None
+        q_20 = unbind_20[0]
+        k_20 = unbind_20[1]
+        v_20 = unbind_20[2]
+        unbind_20 = None
+        x_266 = torch._C._nn.scaled_dot_product_attention(
+            q_20, k_20, v_20, attn_mask=None, dropout_p=0.0
+        )
+        q_20 = k_20 = v_20 = None
+        transpose_21 = x_266.transpose(1, 2)
+        x_266 = None
+        x_267 = transpose_21.reshape(1, 257, 1408)
+        transpose_21 = None
+        x_268 = torch._C._nn.linear(
+            x_267,
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_267 = l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_269 = torch.nn.functional.dropout(x_268, 0.0, False, False)
+        x_268 = None
+        x_270 = x_264 + x_269
+        x_264 = x_269 = None
+        x_271 = torch.nn.functional.layer_norm(
+            x_270,
+            (1408,),
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_
+        ) = None
+        x_272 = torch._C._nn.linear(
+            x_271,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_271 = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_273 = torch._C._nn.gelu(x_272, approximate="none")
+        x_272 = None
+        x_274 = torch.nn.functional.dropout(x_273, 0.0, False, False)
+        x_273 = None
+        x_275 = torch._C._nn.linear(
+            x_274,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_274 = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_276 = torch.nn.functional.dropout(x_275, 0.0, False, False)
+        x_275 = None
+        x_277 = x_270 + x_276
+        x_270 = x_276 = None
+        x_278 = torch.nn.functional.layer_norm(
+            x_277,
+            (1408,),
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_21 = torch.cat(
+            (
+                l_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_ = None
+        qkv_42 = torch._C._nn.linear(
+            x_278,
+            weight=l_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_21,
+        )
+        x_278 = (
+            l_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_21 = None
+        reshape_42 = qkv_42.reshape(1, 257, 3, 16, -1)
+        qkv_42 = None
+        qkv_43 = reshape_42.permute(2, 0, 3, 1, 4)
+        reshape_42 = None
+        unbind_21 = qkv_43.unbind(0)
+        qkv_43 = None
+        q_21 = unbind_21[0]
+        k_21 = unbind_21[1]
+        v_21 = unbind_21[2]
+        unbind_21 = None
+        x_279 = torch._C._nn.scaled_dot_product_attention(
+            q_21, k_21, v_21, attn_mask=None, dropout_p=0.0
+        )
+        q_21 = k_21 = v_21 = None
+        transpose_22 = x_279.transpose(1, 2)
+        x_279 = None
+        x_280 = transpose_22.reshape(1, 257, 1408)
+        transpose_22 = None
+        x_281 = torch._C._nn.linear(
+            x_280,
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_280 = l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_282 = torch.nn.functional.dropout(x_281, 0.0, False, False)
+        x_281 = None
+        x_283 = x_277 + x_282
+        x_277 = x_282 = None
+        x_284 = torch.nn.functional.layer_norm(
+            x_283,
+            (1408,),
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_
+        ) = None
+        x_285 = torch._C._nn.linear(
+            x_284,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_284 = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_286 = torch._C._nn.gelu(x_285, approximate="none")
+        x_285 = None
+        x_287 = torch.nn.functional.dropout(x_286, 0.0, False, False)
+        x_286 = None
+        x_288 = torch._C._nn.linear(
+            x_287,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_287 = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_289 = torch.nn.functional.dropout(x_288, 0.0, False, False)
+        x_288 = None
+        x_290 = x_283 + x_289
+        x_283 = x_289 = None
+        x_291 = torch.nn.functional.layer_norm(
+            x_290,
+            (1408,),
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_22 = torch.cat(
+            (
+                l_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_ = None
+        qkv_44 = torch._C._nn.linear(
+            x_291,
+            weight=l_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_22,
+        )
+        x_291 = (
+            l_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_22 = None
+        reshape_44 = qkv_44.reshape(1, 257, 3, 16, -1)
+        qkv_44 = None
+        qkv_45 = reshape_44.permute(2, 0, 3, 1, 4)
+        reshape_44 = None
+        unbind_22 = qkv_45.unbind(0)
+        qkv_45 = None
+        q_22 = unbind_22[0]
+        k_22 = unbind_22[1]
+        v_22 = unbind_22[2]
+        unbind_22 = None
+        x_292 = torch._C._nn.scaled_dot_product_attention(
+            q_22, k_22, v_22, attn_mask=None, dropout_p=0.0
+        )
+        q_22 = k_22 = v_22 = None
+        transpose_23 = x_292.transpose(1, 2)
+        x_292 = None
+        x_293 = transpose_23.reshape(1, 257, 1408)
+        transpose_23 = None
+        x_294 = torch._C._nn.linear(
+            x_293,
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_293 = l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_295 = torch.nn.functional.dropout(x_294, 0.0, False, False)
+        x_294 = None
+        x_296 = x_290 + x_295
+        x_290 = x_295 = None
+        x_297 = torch.nn.functional.layer_norm(
+            x_296,
+            (1408,),
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_
+        ) = None
+        x_298 = torch._C._nn.linear(
+            x_297,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_297 = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_299 = torch._C._nn.gelu(x_298, approximate="none")
+        x_298 = None
+        x_300 = torch.nn.functional.dropout(x_299, 0.0, False, False)
+        x_299 = None
+        x_301 = torch._C._nn.linear(
+            x_300,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_300 = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_302 = torch.nn.functional.dropout(x_301, 0.0, False, False)
+        x_301 = None
+        x_303 = x_296 + x_302
+        x_296 = x_302 = None
+        x_304 = torch.nn.functional.layer_norm(
+            x_303,
+            (1408,),
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_23 = torch.cat(
+            (
+                l_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_ = None
+        qkv_46 = torch._C._nn.linear(
+            x_304,
+            weight=l_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_23,
+        )
+        x_304 = (
+            l_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_23 = None
+        reshape_46 = qkv_46.reshape(1, 257, 3, 16, -1)
+        qkv_46 = None
+        qkv_47 = reshape_46.permute(2, 0, 3, 1, 4)
+        reshape_46 = None
+        unbind_23 = qkv_47.unbind(0)
+        qkv_47 = None
+        q_23 = unbind_23[0]
+        k_23 = unbind_23[1]
+        v_23 = unbind_23[2]
+        unbind_23 = None
+        x_305 = torch._C._nn.scaled_dot_product_attention(
+            q_23, k_23, v_23, attn_mask=None, dropout_p=0.0
+        )
+        q_23 = k_23 = v_23 = None
+        transpose_24 = x_305.transpose(1, 2)
+        x_305 = None
+        x_306 = transpose_24.reshape(1, 257, 1408)
+        transpose_24 = None
+        x_307 = torch._C._nn.linear(
+            x_306,
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_306 = l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_308 = torch.nn.functional.dropout(x_307, 0.0, False, False)
+        x_307 = None
+        x_309 = x_303 + x_308
+        x_303 = x_308 = None
+        x_310 = torch.nn.functional.layer_norm(
+            x_309,
+            (1408,),
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_
+        ) = None
+        x_311 = torch._C._nn.linear(
+            x_310,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_310 = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_312 = torch._C._nn.gelu(x_311, approximate="none")
+        x_311 = None
+        x_313 = torch.nn.functional.dropout(x_312, 0.0, False, False)
+        x_312 = None
+        x_314 = torch._C._nn.linear(
+            x_313,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_313 = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_315 = torch.nn.functional.dropout(x_314, 0.0, False, False)
+        x_314 = None
+        x_316 = x_309 + x_315
+        x_309 = x_315 = None
+        x_317 = torch.nn.functional.layer_norm(
+            x_316,
+            (1408,),
+            l_self_modules_blocks_modules_24_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_24_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_24_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_24 = torch.cat(
+            (
+                l_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_ = None
+        qkv_48 = torch._C._nn.linear(
+            x_317,
+            weight=l_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_24,
+        )
+        x_317 = (
+            l_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_24 = None
+        reshape_48 = qkv_48.reshape(1, 257, 3, 16, -1)
+        qkv_48 = None
+        qkv_49 = reshape_48.permute(2, 0, 3, 1, 4)
+        reshape_48 = None
+        unbind_24 = qkv_49.unbind(0)
+        qkv_49 = None
+        q_24 = unbind_24[0]
+        k_24 = unbind_24[1]
+        v_24 = unbind_24[2]
+        unbind_24 = None
+        x_318 = torch._C._nn.scaled_dot_product_attention(
+            q_24, k_24, v_24, attn_mask=None, dropout_p=0.0
+        )
+        q_24 = k_24 = v_24 = None
+        transpose_25 = x_318.transpose(1, 2)
+        x_318 = None
+        x_319 = transpose_25.reshape(1, 257, 1408)
+        transpose_25 = None
+        x_320 = torch._C._nn.linear(
+            x_319,
+            l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_319 = l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_321 = torch.nn.functional.dropout(x_320, 0.0, False, False)
+        x_320 = None
+        x_322 = x_316 + x_321
+        x_316 = x_321 = None
+        x_323 = torch.nn.functional.layer_norm(
+            x_322,
+            (1408,),
+            l_self_modules_blocks_modules_24_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_24_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_24_modules_norm2_parameters_bias_
+        ) = None
+        x_324 = torch._C._nn.linear(
+            x_323,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_323 = (
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_325 = torch._C._nn.gelu(x_324, approximate="none")
+        x_324 = None
+        x_326 = torch.nn.functional.dropout(x_325, 0.0, False, False)
+        x_325 = None
+        x_327 = torch._C._nn.linear(
+            x_326,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_326 = (
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_328 = torch.nn.functional.dropout(x_327, 0.0, False, False)
+        x_327 = None
+        x_329 = x_322 + x_328
+        x_322 = x_328 = None
+        x_330 = torch.nn.functional.layer_norm(
+            x_329,
+            (1408,),
+            l_self_modules_blocks_modules_25_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_25_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_25_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_25 = torch.cat(
+            (
+                l_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_ = None
+        qkv_50 = torch._C._nn.linear(
+            x_330,
+            weight=l_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_25,
+        )
+        x_330 = (
+            l_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_25 = None
+        reshape_50 = qkv_50.reshape(1, 257, 3, 16, -1)
+        qkv_50 = None
+        qkv_51 = reshape_50.permute(2, 0, 3, 1, 4)
+        reshape_50 = None
+        unbind_25 = qkv_51.unbind(0)
+        qkv_51 = None
+        q_25 = unbind_25[0]
+        k_25 = unbind_25[1]
+        v_25 = unbind_25[2]
+        unbind_25 = None
+        x_331 = torch._C._nn.scaled_dot_product_attention(
+            q_25, k_25, v_25, attn_mask=None, dropout_p=0.0
+        )
+        q_25 = k_25 = v_25 = None
+        transpose_26 = x_331.transpose(1, 2)
+        x_331 = None
+        x_332 = transpose_26.reshape(1, 257, 1408)
+        transpose_26 = None
+        x_333 = torch._C._nn.linear(
+            x_332,
+            l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_332 = l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_334 = torch.nn.functional.dropout(x_333, 0.0, False, False)
+        x_333 = None
+        x_335 = x_329 + x_334
+        x_329 = x_334 = None
+        x_336 = torch.nn.functional.layer_norm(
+            x_335,
+            (1408,),
+            l_self_modules_blocks_modules_25_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_25_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_25_modules_norm2_parameters_bias_
+        ) = None
+        x_337 = torch._C._nn.linear(
+            x_336,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_336 = (
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_338 = torch._C._nn.gelu(x_337, approximate="none")
+        x_337 = None
+        x_339 = torch.nn.functional.dropout(x_338, 0.0, False, False)
+        x_338 = None
+        x_340 = torch._C._nn.linear(
+            x_339,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_339 = (
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_341 = torch.nn.functional.dropout(x_340, 0.0, False, False)
+        x_340 = None
+        x_342 = x_335 + x_341
+        x_335 = x_341 = None
+        x_343 = torch.nn.functional.layer_norm(
+            x_342,
+            (1408,),
+            l_self_modules_blocks_modules_26_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_26_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_26_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_26 = torch.cat(
+            (
+                l_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_ = None
+        qkv_52 = torch._C._nn.linear(
+            x_343,
+            weight=l_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_26,
+        )
+        x_343 = (
+            l_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_26 = None
+        reshape_52 = qkv_52.reshape(1, 257, 3, 16, -1)
+        qkv_52 = None
+        qkv_53 = reshape_52.permute(2, 0, 3, 1, 4)
+        reshape_52 = None
+        unbind_26 = qkv_53.unbind(0)
+        qkv_53 = None
+        q_26 = unbind_26[0]
+        k_26 = unbind_26[1]
+        v_26 = unbind_26[2]
+        unbind_26 = None
+        x_344 = torch._C._nn.scaled_dot_product_attention(
+            q_26, k_26, v_26, attn_mask=None, dropout_p=0.0
+        )
+        q_26 = k_26 = v_26 = None
+        transpose_27 = x_344.transpose(1, 2)
+        x_344 = None
+        x_345 = transpose_27.reshape(1, 257, 1408)
+        transpose_27 = None
+        x_346 = torch._C._nn.linear(
+            x_345,
+            l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_345 = l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_347 = torch.nn.functional.dropout(x_346, 0.0, False, False)
+        x_346 = None
+        x_348 = x_342 + x_347
+        x_342 = x_347 = None
+        x_349 = torch.nn.functional.layer_norm(
+            x_348,
+            (1408,),
+            l_self_modules_blocks_modules_26_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_26_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_26_modules_norm2_parameters_bias_
+        ) = None
+        x_350 = torch._C._nn.linear(
+            x_349,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_349 = (
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_351 = torch._C._nn.gelu(x_350, approximate="none")
+        x_350 = None
+        x_352 = torch.nn.functional.dropout(x_351, 0.0, False, False)
+        x_351 = None
+        x_353 = torch._C._nn.linear(
+            x_352,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_352 = (
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_354 = torch.nn.functional.dropout(x_353, 0.0, False, False)
+        x_353 = None
+        x_355 = x_348 + x_354
+        x_348 = x_354 = None
+        x_356 = torch.nn.functional.layer_norm(
+            x_355,
+            (1408,),
+            l_self_modules_blocks_modules_27_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_27_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_27_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_27 = torch.cat(
+            (
+                l_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_ = None
+        qkv_54 = torch._C._nn.linear(
+            x_356,
+            weight=l_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_27,
+        )
+        x_356 = (
+            l_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_27 = None
+        reshape_54 = qkv_54.reshape(1, 257, 3, 16, -1)
+        qkv_54 = None
+        qkv_55 = reshape_54.permute(2, 0, 3, 1, 4)
+        reshape_54 = None
+        unbind_27 = qkv_55.unbind(0)
+        qkv_55 = None
+        q_27 = unbind_27[0]
+        k_27 = unbind_27[1]
+        v_27 = unbind_27[2]
+        unbind_27 = None
+        x_357 = torch._C._nn.scaled_dot_product_attention(
+            q_27, k_27, v_27, attn_mask=None, dropout_p=0.0
+        )
+        q_27 = k_27 = v_27 = None
+        transpose_28 = x_357.transpose(1, 2)
+        x_357 = None
+        x_358 = transpose_28.reshape(1, 257, 1408)
+        transpose_28 = None
+        x_359 = torch._C._nn.linear(
+            x_358,
+            l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_358 = l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_360 = torch.nn.functional.dropout(x_359, 0.0, False, False)
+        x_359 = None
+        x_361 = x_355 + x_360
+        x_355 = x_360 = None
+        x_362 = torch.nn.functional.layer_norm(
+            x_361,
+            (1408,),
+            l_self_modules_blocks_modules_27_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_27_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_27_modules_norm2_parameters_bias_
+        ) = None
+        x_363 = torch._C._nn.linear(
+            x_362,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_362 = (
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_364 = torch._C._nn.gelu(x_363, approximate="none")
+        x_363 = None
+        x_365 = torch.nn.functional.dropout(x_364, 0.0, False, False)
+        x_364 = None
+        x_366 = torch._C._nn.linear(
+            x_365,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_365 = (
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_367 = torch.nn.functional.dropout(x_366, 0.0, False, False)
+        x_366 = None
+        x_368 = x_361 + x_367
+        x_361 = x_367 = None
+        x_369 = torch.nn.functional.layer_norm(
+            x_368,
+            (1408,),
+            l_self_modules_blocks_modules_28_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_28_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_28_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_28 = torch.cat(
+            (
+                l_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_ = None
+        qkv_56 = torch._C._nn.linear(
+            x_369,
+            weight=l_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_28,
+        )
+        x_369 = (
+            l_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_28 = None
+        reshape_56 = qkv_56.reshape(1, 257, 3, 16, -1)
+        qkv_56 = None
+        qkv_57 = reshape_56.permute(2, 0, 3, 1, 4)
+        reshape_56 = None
+        unbind_28 = qkv_57.unbind(0)
+        qkv_57 = None
+        q_28 = unbind_28[0]
+        k_28 = unbind_28[1]
+        v_28 = unbind_28[2]
+        unbind_28 = None
+        x_370 = torch._C._nn.scaled_dot_product_attention(
+            q_28, k_28, v_28, attn_mask=None, dropout_p=0.0
+        )
+        q_28 = k_28 = v_28 = None
+        transpose_29 = x_370.transpose(1, 2)
+        x_370 = None
+        x_371 = transpose_29.reshape(1, 257, 1408)
+        transpose_29 = None
+        x_372 = torch._C._nn.linear(
+            x_371,
+            l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_371 = l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_373 = torch.nn.functional.dropout(x_372, 0.0, False, False)
+        x_372 = None
+        x_374 = x_368 + x_373
+        x_368 = x_373 = None
+        x_375 = torch.nn.functional.layer_norm(
+            x_374,
+            (1408,),
+            l_self_modules_blocks_modules_28_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_28_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_28_modules_norm2_parameters_bias_
+        ) = None
+        x_376 = torch._C._nn.linear(
+            x_375,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_375 = (
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_377 = torch._C._nn.gelu(x_376, approximate="none")
+        x_376 = None
+        x_378 = torch.nn.functional.dropout(x_377, 0.0, False, False)
+        x_377 = None
+        x_379 = torch._C._nn.linear(
+            x_378,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_378 = (
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_380 = torch.nn.functional.dropout(x_379, 0.0, False, False)
+        x_379 = None
+        x_381 = x_374 + x_380
+        x_374 = x_380 = None
+        x_382 = torch.nn.functional.layer_norm(
+            x_381,
+            (1408,),
+            l_self_modules_blocks_modules_29_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_29_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_29_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_29 = torch.cat(
+            (
+                l_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_ = None
+        qkv_58 = torch._C._nn.linear(
+            x_382,
+            weight=l_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_29,
+        )
+        x_382 = (
+            l_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_29 = None
+        reshape_58 = qkv_58.reshape(1, 257, 3, 16, -1)
+        qkv_58 = None
+        qkv_59 = reshape_58.permute(2, 0, 3, 1, 4)
+        reshape_58 = None
+        unbind_29 = qkv_59.unbind(0)
+        qkv_59 = None
+        q_29 = unbind_29[0]
+        k_29 = unbind_29[1]
+        v_29 = unbind_29[2]
+        unbind_29 = None
+        x_383 = torch._C._nn.scaled_dot_product_attention(
+            q_29, k_29, v_29, attn_mask=None, dropout_p=0.0
+        )
+        q_29 = k_29 = v_29 = None
+        transpose_30 = x_383.transpose(1, 2)
+        x_383 = None
+        x_384 = transpose_30.reshape(1, 257, 1408)
+        transpose_30 = None
+        x_385 = torch._C._nn.linear(
+            x_384,
+            l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_384 = l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_386 = torch.nn.functional.dropout(x_385, 0.0, False, False)
+        x_385 = None
+        x_387 = x_381 + x_386
+        x_381 = x_386 = None
+        x_388 = torch.nn.functional.layer_norm(
+            x_387,
+            (1408,),
+            l_self_modules_blocks_modules_29_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_29_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_29_modules_norm2_parameters_bias_
+        ) = None
+        x_389 = torch._C._nn.linear(
+            x_388,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_388 = (
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_390 = torch._C._nn.gelu(x_389, approximate="none")
+        x_389 = None
+        x_391 = torch.nn.functional.dropout(x_390, 0.0, False, False)
+        x_390 = None
+        x_392 = torch._C._nn.linear(
+            x_391,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_391 = (
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_393 = torch.nn.functional.dropout(x_392, 0.0, False, False)
+        x_392 = None
+        x_394 = x_387 + x_393
+        x_387 = x_393 = None
+        x_395 = torch.nn.functional.layer_norm(
+            x_394,
+            (1408,),
+            l_self_modules_blocks_modules_30_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_30_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_30_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_30 = torch.cat(
+            (
+                l_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_ = None
+        qkv_60 = torch._C._nn.linear(
+            x_395,
+            weight=l_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_30,
+        )
+        x_395 = (
+            l_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_30 = None
+        reshape_60 = qkv_60.reshape(1, 257, 3, 16, -1)
+        qkv_60 = None
+        qkv_61 = reshape_60.permute(2, 0, 3, 1, 4)
+        reshape_60 = None
+        unbind_30 = qkv_61.unbind(0)
+        qkv_61 = None
+        q_30 = unbind_30[0]
+        k_30 = unbind_30[1]
+        v_30 = unbind_30[2]
+        unbind_30 = None
+        x_396 = torch._C._nn.scaled_dot_product_attention(
+            q_30, k_30, v_30, attn_mask=None, dropout_p=0.0
+        )
+        q_30 = k_30 = v_30 = None
+        transpose_31 = x_396.transpose(1, 2)
+        x_396 = None
+        x_397 = transpose_31.reshape(1, 257, 1408)
+        transpose_31 = None
+        x_398 = torch._C._nn.linear(
+            x_397,
+            l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_397 = l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_399 = torch.nn.functional.dropout(x_398, 0.0, False, False)
+        x_398 = None
+        x_400 = x_394 + x_399
+        x_394 = x_399 = None
+        x_401 = torch.nn.functional.layer_norm(
+            x_400,
+            (1408,),
+            l_self_modules_blocks_modules_30_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_30_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_30_modules_norm2_parameters_bias_
+        ) = None
+        x_402 = torch._C._nn.linear(
+            x_401,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_401 = (
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_403 = torch._C._nn.gelu(x_402, approximate="none")
+        x_402 = None
+        x_404 = torch.nn.functional.dropout(x_403, 0.0, False, False)
+        x_403 = None
+        x_405 = torch._C._nn.linear(
+            x_404,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_404 = (
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_406 = torch.nn.functional.dropout(x_405, 0.0, False, False)
+        x_405 = None
+        x_407 = x_400 + x_406
+        x_400 = x_406 = None
+        x_408 = torch.nn.functional.layer_norm(
+            x_407,
+            (1408,),
+            l_self_modules_blocks_modules_31_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_31_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_31_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_31 = torch.cat(
+            (
+                l_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_ = None
+        qkv_62 = torch._C._nn.linear(
+            x_408,
+            weight=l_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_31,
+        )
+        x_408 = (
+            l_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_31 = None
+        reshape_62 = qkv_62.reshape(1, 257, 3, 16, -1)
+        qkv_62 = None
+        qkv_63 = reshape_62.permute(2, 0, 3, 1, 4)
+        reshape_62 = None
+        unbind_31 = qkv_63.unbind(0)
+        qkv_63 = None
+        q_31 = unbind_31[0]
+        k_31 = unbind_31[1]
+        v_31 = unbind_31[2]
+        unbind_31 = None
+        x_409 = torch._C._nn.scaled_dot_product_attention(
+            q_31, k_31, v_31, attn_mask=None, dropout_p=0.0
+        )
+        q_31 = k_31 = v_31 = None
+        transpose_32 = x_409.transpose(1, 2)
+        x_409 = None
+        x_410 = transpose_32.reshape(1, 257, 1408)
+        transpose_32 = None
+        x_411 = torch._C._nn.linear(
+            x_410,
+            l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_410 = l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_412 = torch.nn.functional.dropout(x_411, 0.0, False, False)
+        x_411 = None
+        x_413 = x_407 + x_412
+        x_407 = x_412 = None
+        x_414 = torch.nn.functional.layer_norm(
+            x_413,
+            (1408,),
+            l_self_modules_blocks_modules_31_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_31_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_31_modules_norm2_parameters_bias_
+        ) = None
+        x_415 = torch._C._nn.linear(
+            x_414,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_414 = (
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_416 = torch._C._nn.gelu(x_415, approximate="none")
+        x_415 = None
+        x_417 = torch.nn.functional.dropout(x_416, 0.0, False, False)
+        x_416 = None
+        x_418 = torch._C._nn.linear(
+            x_417,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_417 = (
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_419 = torch.nn.functional.dropout(x_418, 0.0, False, False)
+        x_418 = None
+        x_420 = x_413 + x_419
+        x_413 = x_419 = None
+        x_421 = torch.nn.functional.layer_norm(
+            x_420,
+            (1408,),
+            l_self_modules_blocks_modules_32_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_32_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_32_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_32 = torch.cat(
+            (
+                l_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_ = None
+        qkv_64 = torch._C._nn.linear(
+            x_421,
+            weight=l_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_32,
+        )
+        x_421 = (
+            l_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_32 = None
+        reshape_64 = qkv_64.reshape(1, 257, 3, 16, -1)
+        qkv_64 = None
+        qkv_65 = reshape_64.permute(2, 0, 3, 1, 4)
+        reshape_64 = None
+        unbind_32 = qkv_65.unbind(0)
+        qkv_65 = None
+        q_32 = unbind_32[0]
+        k_32 = unbind_32[1]
+        v_32 = unbind_32[2]
+        unbind_32 = None
+        x_422 = torch._C._nn.scaled_dot_product_attention(
+            q_32, k_32, v_32, attn_mask=None, dropout_p=0.0
+        )
+        q_32 = k_32 = v_32 = None
+        transpose_33 = x_422.transpose(1, 2)
+        x_422 = None
+        x_423 = transpose_33.reshape(1, 257, 1408)
+        transpose_33 = None
+        x_424 = torch._C._nn.linear(
+            x_423,
+            l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_423 = l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_425 = torch.nn.functional.dropout(x_424, 0.0, False, False)
+        x_424 = None
+        x_426 = x_420 + x_425
+        x_420 = x_425 = None
+        x_427 = torch.nn.functional.layer_norm(
+            x_426,
+            (1408,),
+            l_self_modules_blocks_modules_32_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_32_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_32_modules_norm2_parameters_bias_
+        ) = None
+        x_428 = torch._C._nn.linear(
+            x_427,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_427 = (
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_429 = torch._C._nn.gelu(x_428, approximate="none")
+        x_428 = None
+        x_430 = torch.nn.functional.dropout(x_429, 0.0, False, False)
+        x_429 = None
+        x_431 = torch._C._nn.linear(
+            x_430,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_430 = (
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_432 = torch.nn.functional.dropout(x_431, 0.0, False, False)
+        x_431 = None
+        x_433 = x_426 + x_432
+        x_426 = x_432 = None
+        x_434 = torch.nn.functional.layer_norm(
+            x_433,
+            (1408,),
+            l_self_modules_blocks_modules_33_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_33_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_33_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_33 = torch.cat(
+            (
+                l_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_ = None
+        qkv_66 = torch._C._nn.linear(
+            x_434,
+            weight=l_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_33,
+        )
+        x_434 = (
+            l_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_33 = None
+        reshape_66 = qkv_66.reshape(1, 257, 3, 16, -1)
+        qkv_66 = None
+        qkv_67 = reshape_66.permute(2, 0, 3, 1, 4)
+        reshape_66 = None
+        unbind_33 = qkv_67.unbind(0)
+        qkv_67 = None
+        q_33 = unbind_33[0]
+        k_33 = unbind_33[1]
+        v_33 = unbind_33[2]
+        unbind_33 = None
+        x_435 = torch._C._nn.scaled_dot_product_attention(
+            q_33, k_33, v_33, attn_mask=None, dropout_p=0.0
+        )
+        q_33 = k_33 = v_33 = None
+        transpose_34 = x_435.transpose(1, 2)
+        x_435 = None
+        x_436 = transpose_34.reshape(1, 257, 1408)
+        transpose_34 = None
+        x_437 = torch._C._nn.linear(
+            x_436,
+            l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_436 = l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_438 = torch.nn.functional.dropout(x_437, 0.0, False, False)
+        x_437 = None
+        x_439 = x_433 + x_438
+        x_433 = x_438 = None
+        x_440 = torch.nn.functional.layer_norm(
+            x_439,
+            (1408,),
+            l_self_modules_blocks_modules_33_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_33_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_33_modules_norm2_parameters_bias_
+        ) = None
+        x_441 = torch._C._nn.linear(
+            x_440,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_440 = (
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_442 = torch._C._nn.gelu(x_441, approximate="none")
+        x_441 = None
+        x_443 = torch.nn.functional.dropout(x_442, 0.0, False, False)
+        x_442 = None
+        x_444 = torch._C._nn.linear(
+            x_443,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_443 = (
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_445 = torch.nn.functional.dropout(x_444, 0.0, False, False)
+        x_444 = None
+        x_446 = x_439 + x_445
+        x_439 = x_445 = None
+        x_447 = torch.nn.functional.layer_norm(
+            x_446,
+            (1408,),
+            l_self_modules_blocks_modules_34_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_34_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_34_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_34 = torch.cat(
+            (
+                l_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_ = None
+        qkv_68 = torch._C._nn.linear(
+            x_447,
+            weight=l_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_34,
+        )
+        x_447 = (
+            l_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_34 = None
+        reshape_68 = qkv_68.reshape(1, 257, 3, 16, -1)
+        qkv_68 = None
+        qkv_69 = reshape_68.permute(2, 0, 3, 1, 4)
+        reshape_68 = None
+        unbind_34 = qkv_69.unbind(0)
+        qkv_69 = None
+        q_34 = unbind_34[0]
+        k_34 = unbind_34[1]
+        v_34 = unbind_34[2]
+        unbind_34 = None
+        x_448 = torch._C._nn.scaled_dot_product_attention(
+            q_34, k_34, v_34, attn_mask=None, dropout_p=0.0
+        )
+        q_34 = k_34 = v_34 = None
+        transpose_35 = x_448.transpose(1, 2)
+        x_448 = None
+        x_449 = transpose_35.reshape(1, 257, 1408)
+        transpose_35 = None
+        x_450 = torch._C._nn.linear(
+            x_449,
+            l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_449 = l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_451 = torch.nn.functional.dropout(x_450, 0.0, False, False)
+        x_450 = None
+        x_452 = x_446 + x_451
+        x_446 = x_451 = None
+        x_453 = torch.nn.functional.layer_norm(
+            x_452,
+            (1408,),
+            l_self_modules_blocks_modules_34_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_34_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_34_modules_norm2_parameters_bias_
+        ) = None
+        x_454 = torch._C._nn.linear(
+            x_453,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_453 = (
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_455 = torch._C._nn.gelu(x_454, approximate="none")
+        x_454 = None
+        x_456 = torch.nn.functional.dropout(x_455, 0.0, False, False)
+        x_455 = None
+        x_457 = torch._C._nn.linear(
+            x_456,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_456 = (
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_458 = torch.nn.functional.dropout(x_457, 0.0, False, False)
+        x_457 = None
+        x_459 = x_452 + x_458
+        x_452 = x_458 = None
+        x_460 = torch.nn.functional.layer_norm(
+            x_459,
+            (1408,),
+            l_self_modules_blocks_modules_35_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_35_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_35_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_35 = torch.cat(
+            (
+                l_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_ = None
+        qkv_70 = torch._C._nn.linear(
+            x_460,
+            weight=l_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_35,
+        )
+        x_460 = (
+            l_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_35 = None
+        reshape_70 = qkv_70.reshape(1, 257, 3, 16, -1)
+        qkv_70 = None
+        qkv_71 = reshape_70.permute(2, 0, 3, 1, 4)
+        reshape_70 = None
+        unbind_35 = qkv_71.unbind(0)
+        qkv_71 = None
+        q_35 = unbind_35[0]
+        k_35 = unbind_35[1]
+        v_35 = unbind_35[2]
+        unbind_35 = None
+        x_461 = torch._C._nn.scaled_dot_product_attention(
+            q_35, k_35, v_35, attn_mask=None, dropout_p=0.0
+        )
+        q_35 = k_35 = v_35 = None
+        transpose_36 = x_461.transpose(1, 2)
+        x_461 = None
+        x_462 = transpose_36.reshape(1, 257, 1408)
+        transpose_36 = None
+        x_463 = torch._C._nn.linear(
+            x_462,
+            l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_462 = l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_464 = torch.nn.functional.dropout(x_463, 0.0, False, False)
+        x_463 = None
+        x_465 = x_459 + x_464
+        x_459 = x_464 = None
+        x_466 = torch.nn.functional.layer_norm(
+            x_465,
+            (1408,),
+            l_self_modules_blocks_modules_35_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_35_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_35_modules_norm2_parameters_bias_
+        ) = None
+        x_467 = torch._C._nn.linear(
+            x_466,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_466 = (
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_468 = torch._C._nn.gelu(x_467, approximate="none")
+        x_467 = None
+        x_469 = torch.nn.functional.dropout(x_468, 0.0, False, False)
+        x_468 = None
+        x_470 = torch._C._nn.linear(
+            x_469,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_469 = (
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_471 = torch.nn.functional.dropout(x_470, 0.0, False, False)
+        x_470 = None
+        x_472 = x_465 + x_471
+        x_465 = x_471 = None
+        x_473 = torch.nn.functional.layer_norm(
+            x_472,
+            (1408,),
+            l_self_modules_blocks_modules_36_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_36_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_36_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_36 = torch.cat(
+            (
+                l_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_ = None
+        qkv_72 = torch._C._nn.linear(
+            x_473,
+            weight=l_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_36,
+        )
+        x_473 = (
+            l_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_36 = None
+        reshape_72 = qkv_72.reshape(1, 257, 3, 16, -1)
+        qkv_72 = None
+        qkv_73 = reshape_72.permute(2, 0, 3, 1, 4)
+        reshape_72 = None
+        unbind_36 = qkv_73.unbind(0)
+        qkv_73 = None
+        q_36 = unbind_36[0]
+        k_36 = unbind_36[1]
+        v_36 = unbind_36[2]
+        unbind_36 = None
+        x_474 = torch._C._nn.scaled_dot_product_attention(
+            q_36, k_36, v_36, attn_mask=None, dropout_p=0.0
+        )
+        q_36 = k_36 = v_36 = None
+        transpose_37 = x_474.transpose(1, 2)
+        x_474 = None
+        x_475 = transpose_37.reshape(1, 257, 1408)
+        transpose_37 = None
+        x_476 = torch._C._nn.linear(
+            x_475,
+            l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_475 = l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_477 = torch.nn.functional.dropout(x_476, 0.0, False, False)
+        x_476 = None
+        x_478 = x_472 + x_477
+        x_472 = x_477 = None
+        x_479 = torch.nn.functional.layer_norm(
+            x_478,
+            (1408,),
+            l_self_modules_blocks_modules_36_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_36_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_36_modules_norm2_parameters_bias_
+        ) = None
+        x_480 = torch._C._nn.linear(
+            x_479,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_479 = (
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_481 = torch._C._nn.gelu(x_480, approximate="none")
+        x_480 = None
+        x_482 = torch.nn.functional.dropout(x_481, 0.0, False, False)
+        x_481 = None
+        x_483 = torch._C._nn.linear(
+            x_482,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_482 = (
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_484 = torch.nn.functional.dropout(x_483, 0.0, False, False)
+        x_483 = None
+        x_485 = x_478 + x_484
+        x_478 = x_484 = None
+        x_486 = torch.nn.functional.layer_norm(
+            x_485,
+            (1408,),
+            l_self_modules_blocks_modules_37_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_37_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_37_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_37 = torch.cat(
+            (
+                l_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_ = None
+        qkv_74 = torch._C._nn.linear(
+            x_486,
+            weight=l_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_37,
+        )
+        x_486 = (
+            l_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_37 = None
+        reshape_74 = qkv_74.reshape(1, 257, 3, 16, -1)
+        qkv_74 = None
+        qkv_75 = reshape_74.permute(2, 0, 3, 1, 4)
+        reshape_74 = None
+        unbind_37 = qkv_75.unbind(0)
+        qkv_75 = None
+        q_37 = unbind_37[0]
+        k_37 = unbind_37[1]
+        v_37 = unbind_37[2]
+        unbind_37 = None
+        x_487 = torch._C._nn.scaled_dot_product_attention(
+            q_37, k_37, v_37, attn_mask=None, dropout_p=0.0
+        )
+        q_37 = k_37 = v_37 = None
+        transpose_38 = x_487.transpose(1, 2)
+        x_487 = None
+        x_488 = transpose_38.reshape(1, 257, 1408)
+        transpose_38 = None
+        x_489 = torch._C._nn.linear(
+            x_488,
+            l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_488 = l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_490 = torch.nn.functional.dropout(x_489, 0.0, False, False)
+        x_489 = None
+        x_491 = x_485 + x_490
+        x_485 = x_490 = None
+        x_492 = torch.nn.functional.layer_norm(
+            x_491,
+            (1408,),
+            l_self_modules_blocks_modules_37_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_37_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_37_modules_norm2_parameters_bias_
+        ) = None
+        x_493 = torch._C._nn.linear(
+            x_492,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_492 = (
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_494 = torch._C._nn.gelu(x_493, approximate="none")
+        x_493 = None
+        x_495 = torch.nn.functional.dropout(x_494, 0.0, False, False)
+        x_494 = None
+        x_496 = torch._C._nn.linear(
+            x_495,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_495 = (
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_497 = torch.nn.functional.dropout(x_496, 0.0, False, False)
+        x_496 = None
+        x_498 = x_491 + x_497
+        x_491 = x_497 = None
+        x_499 = torch.nn.functional.layer_norm(
+            x_498,
+            (1408,),
+            l_self_modules_blocks_modules_38_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_38_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_38_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_38 = torch.cat(
+            (
+                l_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_ = None
+        qkv_76 = torch._C._nn.linear(
+            x_499,
+            weight=l_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_38,
+        )
+        x_499 = (
+            l_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_38 = None
+        reshape_76 = qkv_76.reshape(1, 257, 3, 16, -1)
+        qkv_76 = None
+        qkv_77 = reshape_76.permute(2, 0, 3, 1, 4)
+        reshape_76 = None
+        unbind_38 = qkv_77.unbind(0)
+        qkv_77 = None
+        q_38 = unbind_38[0]
+        k_38 = unbind_38[1]
+        v_38 = unbind_38[2]
+        unbind_38 = None
+        x_500 = torch._C._nn.scaled_dot_product_attention(
+            q_38, k_38, v_38, attn_mask=None, dropout_p=0.0
+        )
+        q_38 = k_38 = v_38 = None
+        transpose_39 = x_500.transpose(1, 2)
+        x_500 = None
+        x_501 = transpose_39.reshape(1, 257, 1408)
+        transpose_39 = None
+        x_502 = torch._C._nn.linear(
+            x_501,
+            l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_501 = l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_503 = torch.nn.functional.dropout(x_502, 0.0, False, False)
+        x_502 = None
+        x_504 = x_498 + x_503
+        x_498 = x_503 = None
+        x_505 = torch.nn.functional.layer_norm(
+            x_504,
+            (1408,),
+            l_self_modules_blocks_modules_38_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_38_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_38_modules_norm2_parameters_bias_
+        ) = None
+        x_506 = torch._C._nn.linear(
+            x_505,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_505 = (
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_507 = torch._C._nn.gelu(x_506, approximate="none")
+        x_506 = None
+        x_508 = torch.nn.functional.dropout(x_507, 0.0, False, False)
+        x_507 = None
+        x_509 = torch._C._nn.linear(
+            x_508,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_508 = (
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_510 = torch.nn.functional.dropout(x_509, 0.0, False, False)
+        x_509 = None
+        x_511 = x_504 + x_510
+        x_504 = x_510 = None
+        x_512 = torch.nn.functional.layer_norm(
+            x_511,
+            (1408,),
+            l_self_modules_blocks_modules_39_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_39_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_39_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_39 = torch.cat(
+            (
+                l_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_ = None
+        qkv_78 = torch._C._nn.linear(
+            x_512,
+            weight=l_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_39,
+        )
+        x_512 = (
+            l_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_39 = None
+        reshape_78 = qkv_78.reshape(1, 257, 3, 16, -1)
+        qkv_78 = None
+        qkv_79 = reshape_78.permute(2, 0, 3, 1, 4)
+        reshape_78 = None
+        unbind_39 = qkv_79.unbind(0)
+        qkv_79 = None
+        q_39 = unbind_39[0]
+        k_39 = unbind_39[1]
+        v_39 = unbind_39[2]
+        unbind_39 = None
+        x_513 = torch._C._nn.scaled_dot_product_attention(
+            q_39, k_39, v_39, attn_mask=None, dropout_p=0.0
+        )
+        q_39 = k_39 = v_39 = None
+        transpose_40 = x_513.transpose(1, 2)
+        x_513 = None
+        x_514 = transpose_40.reshape(1, 257, 1408)
+        transpose_40 = None
+        x_515 = torch._C._nn.linear(
+            x_514,
+            l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_514 = l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_516 = torch.nn.functional.dropout(x_515, 0.0, False, False)
+        x_515 = None
+        x_517 = x_511 + x_516
+        x_511 = x_516 = None
+        x_518 = torch.nn.functional.layer_norm(
+            x_517,
+            (1408,),
+            l_self_modules_blocks_modules_39_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_39_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_39_modules_norm2_parameters_bias_
+        ) = None
+        x_519 = torch._C._nn.linear(
+            x_518,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_518 = (
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_520 = torch._C._nn.gelu(x_519, approximate="none")
+        x_519 = None
+        x_521 = torch.nn.functional.dropout(x_520, 0.0, False, False)
+        x_520 = None
+        x_522 = torch._C._nn.linear(
+            x_521,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_521 = (
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_523 = torch.nn.functional.dropout(x_522, 0.0, False, False)
+        x_522 = None
+        x_524 = x_517 + x_523
+        x_517 = x_523 = None
+        x_525 = x_524[
+            (slice(None, None, None), slice(l_self_num_prefix_tokens, None, None))
+        ]
+        x_524 = l_self_num_prefix_tokens = None
+        x_526 = x_525.mean(dim=1)
+        x_525 = None
+        x_527 = torch.nn.functional.layer_norm(
+            x_526,
+            (1408,),
+            l_self_modules_fc_norm_parameters_weight_,
+            l_self_modules_fc_norm_parameters_bias_,
+            1e-06,
+        )
+        x_526 = (
+            l_self_modules_fc_norm_parameters_weight_
+        ) = l_self_modules_fc_norm_parameters_bias_ = None
+        x_528 = torch.nn.functional.dropout(x_527, 0.0, False, False)
+        x_527 = None
+        x_529 = torch._C._nn.linear(
+            x_528,
+            l_self_modules_head_parameters_weight_,
+            l_self_modules_head_parameters_bias_,
+        )
+        x_528 = (
+            l_self_modules_head_parameters_weight_
+        ) = l_self_modules_head_parameters_bias_ = None
+        return (x_529,)
diff --git a/samples/timm/eva_giant_patch14_224.clip_ft_in1k/weight_meta.py b/samples/timm/eva_giant_patch14_224.clip_ft_in1k/weight_meta.py
new file mode 100644
index 000000000..818a356c9
--- /dev/null
+++ b/samples/timm/eva_giant_patch14_224.clip_ft_in1k/weight_meta.py
@@ -0,0 +1,5838 @@
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.228
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [1408, 3, 14, 14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_pos_embed_:
+    name = "L_self_parameters_pos_embed_"
+    shape = [1, 257, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_cls_token_:
+    name = "L_self_parameters_cls_token_"
+    shape = [1, 1, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_num_prefix_tokens:
+    name = "L_self_num_prefix_tokens"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_norm_parameters_weight_:
+    name = "L_self_modules_fc_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_fc_norm_parameters_bias_:
+    name = "L_self_modules_fc_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_weight_:
+    name = "L_self_modules_head_parameters_weight_"
+    shape = [1000, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_bias_:
+    name = "L_self_modules_head_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/eva_giant_patch14_clip_224.laion400m/graph_hash.txt b/samples/timm/eva_giant_patch14_clip_224.laion400m/graph_hash.txt
new file mode 100644
index 000000000..99d3710ce
--- /dev/null
+++ b/samples/timm/eva_giant_patch14_clip_224.laion400m/graph_hash.txt
@@ -0,0 +1 @@
+3a7e7a4c866692a80193e8bb401983e3ad557480e812f178b6d0f370bf53d58b
\ No newline at end of file
diff --git a/samples/timm/eva_giant_patch14_clip_224.laion400m/graph_net.json b/samples/timm/eva_giant_patch14_clip_224.laion400m/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/eva_giant_patch14_clip_224.laion400m/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/eva_giant_patch14_clip_224.laion400m/input_meta.py b/samples/timm/eva_giant_patch14_clip_224.laion400m/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva_giant_patch14_clip_224.laion400m/input_tensor_constraints.py b/samples/timm/eva_giant_patch14_clip_224.laion400m/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/eva_giant_patch14_clip_224.laion400m/model.py b/samples/timm/eva_giant_patch14_clip_224.laion400m/model.py
new file mode 100644
index 000000000..25c5d7a7a
--- /dev/null
+++ b/samples/timm/eva_giant_patch14_clip_224.laion400m/model.py
@@ -0,0 +1,6116 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_parameters_pos_embed_: torch.nn.parameter.Parameter,
+        L_self_parameters_cls_token_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_30_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_: torch.Tensor,
+        L_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_proj_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_bias_
+        )
+        l_self_parameters_pos_embed_ = L_self_parameters_pos_embed_
+        l_self_parameters_cls_token_ = L_self_parameters_cls_token_
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_ = (
+            L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_
+        )
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_parameters_weight_ = L_self_modules_head_parameters_weight_
+        l_self_modules_head_parameters_bias_ = L_self_modules_head_parameters_bias_
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            l_self_modules_patch_embed_modules_proj_parameters_bias_,
+            (14, 14),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_patch_embed_modules_proj_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_proj_parameters_bias_ = None
+        flatten = x.flatten(2)
+        x = None
+        x_1 = flatten.transpose(1, 2)
+        flatten = None
+        expand = l_self_parameters_cls_token_.expand(1, -1, -1)
+        l_self_parameters_cls_token_ = None
+        x_2 = torch.cat([expand, x_1], dim=1)
+        expand = x_1 = None
+        x_3 = x_2 + l_self_parameters_pos_embed_
+        x_2 = l_self_parameters_pos_embed_ = None
+        x_4 = torch.nn.functional.dropout(x_3, 0.0, False, False)
+        x_3 = None
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (1408,),
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias = torch.cat(
+            (
+                l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_ = None
+        qkv = torch._C._nn.linear(
+            x_5,
+            weight=l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias = None
+        reshape = qkv.reshape(1, 257, 3, 16, -1)
+        qkv = None
+        qkv_1 = reshape.permute(2, 0, 3, 1, 4)
+        reshape = None
+        unbind = qkv_1.unbind(0)
+        qkv_1 = None
+        q = unbind[0]
+        k = unbind[1]
+        v = unbind[2]
+        unbind = None
+        x_6 = torch._C._nn.scaled_dot_product_attention(
+            q, k, v, attn_mask=None, dropout_p=0.0
+        )
+        q = k = v = None
+        transpose_1 = x_6.transpose(1, 2)
+        x_6 = None
+        x_7 = transpose_1.reshape(1, 257, 1408)
+        transpose_1 = None
+        x_8 = torch._C._nn.linear(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_9 = torch.nn.functional.dropout(x_8, 0.0, False, False)
+        x_8 = None
+        x_10 = x_4 + x_9
+        x_4 = x_9 = None
+        x_11 = torch.nn.functional.layer_norm(
+            x_10,
+            (1408,),
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        ) = None
+        x_12 = torch._C._nn.linear(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_13 = torch._C._nn.gelu(x_12, approximate="none")
+        x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch._C._nn.linear(
+            x_14,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_10 + x_16
+        x_10 = x_16 = None
+        x_18 = torch.nn.functional.layer_norm(
+            x_17,
+            (1408,),
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_1 = torch.cat(
+            (
+                l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_ = None
+        qkv_2 = torch._C._nn.linear(
+            x_18,
+            weight=l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_1,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_1 = None
+        reshape_2 = qkv_2.reshape(1, 257, 3, 16, -1)
+        qkv_2 = None
+        qkv_3 = reshape_2.permute(2, 0, 3, 1, 4)
+        reshape_2 = None
+        unbind_1 = qkv_3.unbind(0)
+        qkv_3 = None
+        q_1 = unbind_1[0]
+        k_1 = unbind_1[1]
+        v_1 = unbind_1[2]
+        unbind_1 = None
+        x_19 = torch._C._nn.scaled_dot_product_attention(
+            q_1, k_1, v_1, attn_mask=None, dropout_p=0.0
+        )
+        q_1 = k_1 = v_1 = None
+        transpose_2 = x_19.transpose(1, 2)
+        x_19 = None
+        x_20 = transpose_2.reshape(1, 257, 1408)
+        transpose_2 = None
+        x_21 = torch._C._nn.linear(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_22 = torch.nn.functional.dropout(x_21, 0.0, False, False)
+        x_21 = None
+        x_23 = x_17 + x_22
+        x_17 = x_22 = None
+        x_24 = torch.nn.functional.layer_norm(
+            x_23,
+            (1408,),
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        ) = None
+        x_25 = torch._C._nn.linear(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_26 = torch._C._nn.gelu(x_25, approximate="none")
+        x_25 = None
+        x_27 = torch.nn.functional.dropout(x_26, 0.0, False, False)
+        x_26 = None
+        x_28 = torch._C._nn.linear(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_29 = torch.nn.functional.dropout(x_28, 0.0, False, False)
+        x_28 = None
+        x_30 = x_23 + x_29
+        x_23 = x_29 = None
+        x_31 = torch.nn.functional.layer_norm(
+            x_30,
+            (1408,),
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_2 = torch.cat(
+            (
+                l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_ = None
+        qkv_4 = torch._C._nn.linear(
+            x_31,
+            weight=l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_2,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_2 = None
+        reshape_4 = qkv_4.reshape(1, 257, 3, 16, -1)
+        qkv_4 = None
+        qkv_5 = reshape_4.permute(2, 0, 3, 1, 4)
+        reshape_4 = None
+        unbind_2 = qkv_5.unbind(0)
+        qkv_5 = None
+        q_2 = unbind_2[0]
+        k_2 = unbind_2[1]
+        v_2 = unbind_2[2]
+        unbind_2 = None
+        x_32 = torch._C._nn.scaled_dot_product_attention(
+            q_2, k_2, v_2, attn_mask=None, dropout_p=0.0
+        )
+        q_2 = k_2 = v_2 = None
+        transpose_3 = x_32.transpose(1, 2)
+        x_32 = None
+        x_33 = transpose_3.reshape(1, 257, 1408)
+        transpose_3 = None
+        x_34 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_33 = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_35 = torch.nn.functional.dropout(x_34, 0.0, False, False)
+        x_34 = None
+        x_36 = x_30 + x_35
+        x_30 = x_35 = None
+        x_37 = torch.nn.functional.layer_norm(
+            x_36,
+            (1408,),
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        ) = None
+        x_38 = torch._C._nn.linear(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_39 = torch._C._nn.gelu(x_38, approximate="none")
+        x_38 = None
+        x_40 = torch.nn.functional.dropout(x_39, 0.0, False, False)
+        x_39 = None
+        x_41 = torch._C._nn.linear(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_40 = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_42 = torch.nn.functional.dropout(x_41, 0.0, False, False)
+        x_41 = None
+        x_43 = x_36 + x_42
+        x_36 = x_42 = None
+        x_44 = torch.nn.functional.layer_norm(
+            x_43,
+            (1408,),
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_3 = torch.cat(
+            (
+                l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_ = None
+        qkv_6 = torch._C._nn.linear(
+            x_44,
+            weight=l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_3,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_3 = None
+        reshape_6 = qkv_6.reshape(1, 257, 3, 16, -1)
+        qkv_6 = None
+        qkv_7 = reshape_6.permute(2, 0, 3, 1, 4)
+        reshape_6 = None
+        unbind_3 = qkv_7.unbind(0)
+        qkv_7 = None
+        q_3 = unbind_3[0]
+        k_3 = unbind_3[1]
+        v_3 = unbind_3[2]
+        unbind_3 = None
+        x_45 = torch._C._nn.scaled_dot_product_attention(
+            q_3, k_3, v_3, attn_mask=None, dropout_p=0.0
+        )
+        q_3 = k_3 = v_3 = None
+        transpose_4 = x_45.transpose(1, 2)
+        x_45 = None
+        x_46 = transpose_4.reshape(1, 257, 1408)
+        transpose_4 = None
+        x_47 = torch._C._nn.linear(
+            x_46,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_43 + x_48
+        x_43 = x_48 = None
+        x_50 = torch.nn.functional.layer_norm(
+            x_49,
+            (1408,),
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        ) = None
+        x_51 = torch._C._nn.linear(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_50 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_52 = torch._C._nn.gelu(x_51, approximate="none")
+        x_51 = None
+        x_53 = torch.nn.functional.dropout(x_52, 0.0, False, False)
+        x_52 = None
+        x_54 = torch._C._nn.linear(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.dropout(x_54, 0.0, False, False)
+        x_54 = None
+        x_56 = x_49 + x_55
+        x_49 = x_55 = None
+        x_57 = torch.nn.functional.layer_norm(
+            x_56,
+            (1408,),
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_4 = torch.cat(
+            (
+                l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_ = None
+        qkv_8 = torch._C._nn.linear(
+            x_57,
+            weight=l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_4,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_4 = None
+        reshape_8 = qkv_8.reshape(1, 257, 3, 16, -1)
+        qkv_8 = None
+        qkv_9 = reshape_8.permute(2, 0, 3, 1, 4)
+        reshape_8 = None
+        unbind_4 = qkv_9.unbind(0)
+        qkv_9 = None
+        q_4 = unbind_4[0]
+        k_4 = unbind_4[1]
+        v_4 = unbind_4[2]
+        unbind_4 = None
+        x_58 = torch._C._nn.scaled_dot_product_attention(
+            q_4, k_4, v_4, attn_mask=None, dropout_p=0.0
+        )
+        q_4 = k_4 = v_4 = None
+        transpose_5 = x_58.transpose(1, 2)
+        x_58 = None
+        x_59 = transpose_5.reshape(1, 257, 1408)
+        transpose_5 = None
+        x_60 = torch._C._nn.linear(
+            x_59,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.dropout(x_60, 0.0, False, False)
+        x_60 = None
+        x_62 = x_56 + x_61
+        x_56 = x_61 = None
+        x_63 = torch.nn.functional.layer_norm(
+            x_62,
+            (1408,),
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        ) = None
+        x_64 = torch._C._nn.linear(
+            x_63,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_65 = torch._C._nn.gelu(x_64, approximate="none")
+        x_64 = None
+        x_66 = torch.nn.functional.dropout(x_65, 0.0, False, False)
+        x_65 = None
+        x_67 = torch._C._nn.linear(
+            x_66,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_68 = torch.nn.functional.dropout(x_67, 0.0, False, False)
+        x_67 = None
+        x_69 = x_62 + x_68
+        x_62 = x_68 = None
+        x_70 = torch.nn.functional.layer_norm(
+            x_69,
+            (1408,),
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_5 = torch.cat(
+            (
+                l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_ = None
+        qkv_10 = torch._C._nn.linear(
+            x_70,
+            weight=l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_5,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_5 = None
+        reshape_10 = qkv_10.reshape(1, 257, 3, 16, -1)
+        qkv_10 = None
+        qkv_11 = reshape_10.permute(2, 0, 3, 1, 4)
+        reshape_10 = None
+        unbind_5 = qkv_11.unbind(0)
+        qkv_11 = None
+        q_5 = unbind_5[0]
+        k_5 = unbind_5[1]
+        v_5 = unbind_5[2]
+        unbind_5 = None
+        x_71 = torch._C._nn.scaled_dot_product_attention(
+            q_5, k_5, v_5, attn_mask=None, dropout_p=0.0
+        )
+        q_5 = k_5 = v_5 = None
+        transpose_6 = x_71.transpose(1, 2)
+        x_71 = None
+        x_72 = transpose_6.reshape(1, 257, 1408)
+        transpose_6 = None
+        x_73 = torch._C._nn.linear(
+            x_72,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_74 = torch.nn.functional.dropout(x_73, 0.0, False, False)
+        x_73 = None
+        x_75 = x_69 + x_74
+        x_69 = x_74 = None
+        x_76 = torch.nn.functional.layer_norm(
+            x_75,
+            (1408,),
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        ) = None
+        x_77 = torch._C._nn.linear(
+            x_76,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_78 = torch._C._nn.gelu(x_77, approximate="none")
+        x_77 = None
+        x_79 = torch.nn.functional.dropout(x_78, 0.0, False, False)
+        x_78 = None
+        x_80 = torch._C._nn.linear(
+            x_79,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.dropout(x_80, 0.0, False, False)
+        x_80 = None
+        x_82 = x_75 + x_81
+        x_75 = x_81 = None
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (1408,),
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_6 = torch.cat(
+            (
+                l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_ = None
+        qkv_12 = torch._C._nn.linear(
+            x_83,
+            weight=l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_6,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_6 = None
+        reshape_12 = qkv_12.reshape(1, 257, 3, 16, -1)
+        qkv_12 = None
+        qkv_13 = reshape_12.permute(2, 0, 3, 1, 4)
+        reshape_12 = None
+        unbind_6 = qkv_13.unbind(0)
+        qkv_13 = None
+        q_6 = unbind_6[0]
+        k_6 = unbind_6[1]
+        v_6 = unbind_6[2]
+        unbind_6 = None
+        x_84 = torch._C._nn.scaled_dot_product_attention(
+            q_6, k_6, v_6, attn_mask=None, dropout_p=0.0
+        )
+        q_6 = k_6 = v_6 = None
+        transpose_7 = x_84.transpose(1, 2)
+        x_84 = None
+        x_85 = transpose_7.reshape(1, 257, 1408)
+        transpose_7 = None
+        x_86 = torch._C._nn.linear(
+            x_85,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.dropout(x_86, 0.0, False, False)
+        x_86 = None
+        x_88 = x_82 + x_87
+        x_82 = x_87 = None
+        x_89 = torch.nn.functional.layer_norm(
+            x_88,
+            (1408,),
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        ) = None
+        x_90 = torch._C._nn.linear(
+            x_89,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_89 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_91 = torch._C._nn.gelu(x_90, approximate="none")
+        x_90 = None
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = torch._C._nn.linear(
+            x_92,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_94 = torch.nn.functional.dropout(x_93, 0.0, False, False)
+        x_93 = None
+        x_95 = x_88 + x_94
+        x_88 = x_94 = None
+        x_96 = torch.nn.functional.layer_norm(
+            x_95,
+            (1408,),
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_7 = torch.cat(
+            (
+                l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_ = None
+        qkv_14 = torch._C._nn.linear(
+            x_96,
+            weight=l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_7,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_7 = None
+        reshape_14 = qkv_14.reshape(1, 257, 3, 16, -1)
+        qkv_14 = None
+        qkv_15 = reshape_14.permute(2, 0, 3, 1, 4)
+        reshape_14 = None
+        unbind_7 = qkv_15.unbind(0)
+        qkv_15 = None
+        q_7 = unbind_7[0]
+        k_7 = unbind_7[1]
+        v_7 = unbind_7[2]
+        unbind_7 = None
+        x_97 = torch._C._nn.scaled_dot_product_attention(
+            q_7, k_7, v_7, attn_mask=None, dropout_p=0.0
+        )
+        q_7 = k_7 = v_7 = None
+        transpose_8 = x_97.transpose(1, 2)
+        x_97 = None
+        x_98 = transpose_8.reshape(1, 257, 1408)
+        transpose_8 = None
+        x_99 = torch._C._nn.linear(
+            x_98,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_100 = torch.nn.functional.dropout(x_99, 0.0, False, False)
+        x_99 = None
+        x_101 = x_95 + x_100
+        x_95 = x_100 = None
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (1408,),
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        ) = None
+        x_103 = torch._C._nn.linear(
+            x_102,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_104 = torch._C._nn.gelu(x_103, approximate="none")
+        x_103 = None
+        x_105 = torch.nn.functional.dropout(x_104, 0.0, False, False)
+        x_104 = None
+        x_106 = torch._C._nn.linear(
+            x_105,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_107 = torch.nn.functional.dropout(x_106, 0.0, False, False)
+        x_106 = None
+        x_108 = x_101 + x_107
+        x_101 = x_107 = None
+        x_109 = torch.nn.functional.layer_norm(
+            x_108,
+            (1408,),
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_8 = torch.cat(
+            (
+                l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_ = None
+        qkv_16 = torch._C._nn.linear(
+            x_109,
+            weight=l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_8,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_8 = None
+        reshape_16 = qkv_16.reshape(1, 257, 3, 16, -1)
+        qkv_16 = None
+        qkv_17 = reshape_16.permute(2, 0, 3, 1, 4)
+        reshape_16 = None
+        unbind_8 = qkv_17.unbind(0)
+        qkv_17 = None
+        q_8 = unbind_8[0]
+        k_8 = unbind_8[1]
+        v_8 = unbind_8[2]
+        unbind_8 = None
+        x_110 = torch._C._nn.scaled_dot_product_attention(
+            q_8, k_8, v_8, attn_mask=None, dropout_p=0.0
+        )
+        q_8 = k_8 = v_8 = None
+        transpose_9 = x_110.transpose(1, 2)
+        x_110 = None
+        x_111 = transpose_9.reshape(1, 257, 1408)
+        transpose_9 = None
+        x_112 = torch._C._nn.linear(
+            x_111,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_113 = torch.nn.functional.dropout(x_112, 0.0, False, False)
+        x_112 = None
+        x_114 = x_108 + x_113
+        x_108 = x_113 = None
+        x_115 = torch.nn.functional.layer_norm(
+            x_114,
+            (1408,),
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        ) = None
+        x_116 = torch._C._nn.linear(
+            x_115,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_117 = torch._C._nn.gelu(x_116, approximate="none")
+        x_116 = None
+        x_118 = torch.nn.functional.dropout(x_117, 0.0, False, False)
+        x_117 = None
+        x_119 = torch._C._nn.linear(
+            x_118,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = x_114 + x_120
+        x_114 = x_120 = None
+        x_122 = torch.nn.functional.layer_norm(
+            x_121,
+            (1408,),
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_9 = torch.cat(
+            (
+                l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_ = None
+        qkv_18 = torch._C._nn.linear(
+            x_122,
+            weight=l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_9,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_9 = None
+        reshape_18 = qkv_18.reshape(1, 257, 3, 16, -1)
+        qkv_18 = None
+        qkv_19 = reshape_18.permute(2, 0, 3, 1, 4)
+        reshape_18 = None
+        unbind_9 = qkv_19.unbind(0)
+        qkv_19 = None
+        q_9 = unbind_9[0]
+        k_9 = unbind_9[1]
+        v_9 = unbind_9[2]
+        unbind_9 = None
+        x_123 = torch._C._nn.scaled_dot_product_attention(
+            q_9, k_9, v_9, attn_mask=None, dropout_p=0.0
+        )
+        q_9 = k_9 = v_9 = None
+        transpose_10 = x_123.transpose(1, 2)
+        x_123 = None
+        x_124 = transpose_10.reshape(1, 257, 1408)
+        transpose_10 = None
+        x_125 = torch._C._nn.linear(
+            x_124,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.dropout(x_125, 0.0, False, False)
+        x_125 = None
+        x_127 = x_121 + x_126
+        x_121 = x_126 = None
+        x_128 = torch.nn.functional.layer_norm(
+            x_127,
+            (1408,),
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        ) = None
+        x_129 = torch._C._nn.linear(
+            x_128,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_130 = torch._C._nn.gelu(x_129, approximate="none")
+        x_129 = None
+        x_131 = torch.nn.functional.dropout(x_130, 0.0, False, False)
+        x_130 = None
+        x_132 = torch._C._nn.linear(
+            x_131,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_133 = torch.nn.functional.dropout(x_132, 0.0, False, False)
+        x_132 = None
+        x_134 = x_127 + x_133
+        x_127 = x_133 = None
+        x_135 = torch.nn.functional.layer_norm(
+            x_134,
+            (1408,),
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_10 = torch.cat(
+            (
+                l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_ = None
+        qkv_20 = torch._C._nn.linear(
+            x_135,
+            weight=l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_10,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_10 = None
+        reshape_20 = qkv_20.reshape(1, 257, 3, 16, -1)
+        qkv_20 = None
+        qkv_21 = reshape_20.permute(2, 0, 3, 1, 4)
+        reshape_20 = None
+        unbind_10 = qkv_21.unbind(0)
+        qkv_21 = None
+        q_10 = unbind_10[0]
+        k_10 = unbind_10[1]
+        v_10 = unbind_10[2]
+        unbind_10 = None
+        x_136 = torch._C._nn.scaled_dot_product_attention(
+            q_10, k_10, v_10, attn_mask=None, dropout_p=0.0
+        )
+        q_10 = k_10 = v_10 = None
+        transpose_11 = x_136.transpose(1, 2)
+        x_136 = None
+        x_137 = transpose_11.reshape(1, 257, 1408)
+        transpose_11 = None
+        x_138 = torch._C._nn.linear(
+            x_137,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_137 = l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_139 = torch.nn.functional.dropout(x_138, 0.0, False, False)
+        x_138 = None
+        x_140 = x_134 + x_139
+        x_134 = x_139 = None
+        x_141 = torch.nn.functional.layer_norm(
+            x_140,
+            (1408,),
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        ) = None
+        x_142 = torch._C._nn.linear(
+            x_141,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_143 = torch._C._nn.gelu(x_142, approximate="none")
+        x_142 = None
+        x_144 = torch.nn.functional.dropout(x_143, 0.0, False, False)
+        x_143 = None
+        x_145 = torch._C._nn.linear(
+            x_144,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_146 = torch.nn.functional.dropout(x_145, 0.0, False, False)
+        x_145 = None
+        x_147 = x_140 + x_146
+        x_140 = x_146 = None
+        x_148 = torch.nn.functional.layer_norm(
+            x_147,
+            (1408,),
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_11 = torch.cat(
+            (
+                l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_ = None
+        qkv_22 = torch._C._nn.linear(
+            x_148,
+            weight=l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_11,
+        )
+        x_148 = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_11 = None
+        reshape_22 = qkv_22.reshape(1, 257, 3, 16, -1)
+        qkv_22 = None
+        qkv_23 = reshape_22.permute(2, 0, 3, 1, 4)
+        reshape_22 = None
+        unbind_11 = qkv_23.unbind(0)
+        qkv_23 = None
+        q_11 = unbind_11[0]
+        k_11 = unbind_11[1]
+        v_11 = unbind_11[2]
+        unbind_11 = None
+        x_149 = torch._C._nn.scaled_dot_product_attention(
+            q_11, k_11, v_11, attn_mask=None, dropout_p=0.0
+        )
+        q_11 = k_11 = v_11 = None
+        transpose_12 = x_149.transpose(1, 2)
+        x_149 = None
+        x_150 = transpose_12.reshape(1, 257, 1408)
+        transpose_12 = None
+        x_151 = torch._C._nn.linear(
+            x_150,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_150 = l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_152 = torch.nn.functional.dropout(x_151, 0.0, False, False)
+        x_151 = None
+        x_153 = x_147 + x_152
+        x_147 = x_152 = None
+        x_154 = torch.nn.functional.layer_norm(
+            x_153,
+            (1408,),
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        ) = None
+        x_155 = torch._C._nn.linear(
+            x_154,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_156 = torch._C._nn.gelu(x_155, approximate="none")
+        x_155 = None
+        x_157 = torch.nn.functional.dropout(x_156, 0.0, False, False)
+        x_156 = None
+        x_158 = torch._C._nn.linear(
+            x_157,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_157 = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_159 = torch.nn.functional.dropout(x_158, 0.0, False, False)
+        x_158 = None
+        x_160 = x_153 + x_159
+        x_153 = x_159 = None
+        x_161 = torch.nn.functional.layer_norm(
+            x_160,
+            (1408,),
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_12 = torch.cat(
+            (
+                l_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_ = None
+        qkv_24 = torch._C._nn.linear(
+            x_161,
+            weight=l_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_12,
+        )
+        x_161 = (
+            l_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_12 = None
+        reshape_24 = qkv_24.reshape(1, 257, 3, 16, -1)
+        qkv_24 = None
+        qkv_25 = reshape_24.permute(2, 0, 3, 1, 4)
+        reshape_24 = None
+        unbind_12 = qkv_25.unbind(0)
+        qkv_25 = None
+        q_12 = unbind_12[0]
+        k_12 = unbind_12[1]
+        v_12 = unbind_12[2]
+        unbind_12 = None
+        x_162 = torch._C._nn.scaled_dot_product_attention(
+            q_12, k_12, v_12, attn_mask=None, dropout_p=0.0
+        )
+        q_12 = k_12 = v_12 = None
+        transpose_13 = x_162.transpose(1, 2)
+        x_162 = None
+        x_163 = transpose_13.reshape(1, 257, 1408)
+        transpose_13 = None
+        x_164 = torch._C._nn.linear(
+            x_163,
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_163 = l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_165 = torch.nn.functional.dropout(x_164, 0.0, False, False)
+        x_164 = None
+        x_166 = x_160 + x_165
+        x_160 = x_165 = None
+        x_167 = torch.nn.functional.layer_norm(
+            x_166,
+            (1408,),
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        ) = None
+        x_168 = torch._C._nn.linear(
+            x_167,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_167 = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_169 = torch._C._nn.gelu(x_168, approximate="none")
+        x_168 = None
+        x_170 = torch.nn.functional.dropout(x_169, 0.0, False, False)
+        x_169 = None
+        x_171 = torch._C._nn.linear(
+            x_170,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_170 = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_172 = torch.nn.functional.dropout(x_171, 0.0, False, False)
+        x_171 = None
+        x_173 = x_166 + x_172
+        x_166 = x_172 = None
+        x_174 = torch.nn.functional.layer_norm(
+            x_173,
+            (1408,),
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_13 = torch.cat(
+            (
+                l_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_ = None
+        qkv_26 = torch._C._nn.linear(
+            x_174,
+            weight=l_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_13,
+        )
+        x_174 = (
+            l_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_13 = None
+        reshape_26 = qkv_26.reshape(1, 257, 3, 16, -1)
+        qkv_26 = None
+        qkv_27 = reshape_26.permute(2, 0, 3, 1, 4)
+        reshape_26 = None
+        unbind_13 = qkv_27.unbind(0)
+        qkv_27 = None
+        q_13 = unbind_13[0]
+        k_13 = unbind_13[1]
+        v_13 = unbind_13[2]
+        unbind_13 = None
+        x_175 = torch._C._nn.scaled_dot_product_attention(
+            q_13, k_13, v_13, attn_mask=None, dropout_p=0.0
+        )
+        q_13 = k_13 = v_13 = None
+        transpose_14 = x_175.transpose(1, 2)
+        x_175 = None
+        x_176 = transpose_14.reshape(1, 257, 1408)
+        transpose_14 = None
+        x_177 = torch._C._nn.linear(
+            x_176,
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_176 = l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_178 = torch.nn.functional.dropout(x_177, 0.0, False, False)
+        x_177 = None
+        x_179 = x_173 + x_178
+        x_173 = x_178 = None
+        x_180 = torch.nn.functional.layer_norm(
+            x_179,
+            (1408,),
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        ) = None
+        x_181 = torch._C._nn.linear(
+            x_180,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_180 = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_182 = torch._C._nn.gelu(x_181, approximate="none")
+        x_181 = None
+        x_183 = torch.nn.functional.dropout(x_182, 0.0, False, False)
+        x_182 = None
+        x_184 = torch._C._nn.linear(
+            x_183,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_183 = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_185 = torch.nn.functional.dropout(x_184, 0.0, False, False)
+        x_184 = None
+        x_186 = x_179 + x_185
+        x_179 = x_185 = None
+        x_187 = torch.nn.functional.layer_norm(
+            x_186,
+            (1408,),
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_14 = torch.cat(
+            (
+                l_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_ = None
+        qkv_28 = torch._C._nn.linear(
+            x_187,
+            weight=l_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_14,
+        )
+        x_187 = (
+            l_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_14 = None
+        reshape_28 = qkv_28.reshape(1, 257, 3, 16, -1)
+        qkv_28 = None
+        qkv_29 = reshape_28.permute(2, 0, 3, 1, 4)
+        reshape_28 = None
+        unbind_14 = qkv_29.unbind(0)
+        qkv_29 = None
+        q_14 = unbind_14[0]
+        k_14 = unbind_14[1]
+        v_14 = unbind_14[2]
+        unbind_14 = None
+        x_188 = torch._C._nn.scaled_dot_product_attention(
+            q_14, k_14, v_14, attn_mask=None, dropout_p=0.0
+        )
+        q_14 = k_14 = v_14 = None
+        transpose_15 = x_188.transpose(1, 2)
+        x_188 = None
+        x_189 = transpose_15.reshape(1, 257, 1408)
+        transpose_15 = None
+        x_190 = torch._C._nn.linear(
+            x_189,
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_189 = l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_191 = torch.nn.functional.dropout(x_190, 0.0, False, False)
+        x_190 = None
+        x_192 = x_186 + x_191
+        x_186 = x_191 = None
+        x_193 = torch.nn.functional.layer_norm(
+            x_192,
+            (1408,),
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        ) = None
+        x_194 = torch._C._nn.linear(
+            x_193,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_193 = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_195 = torch._C._nn.gelu(x_194, approximate="none")
+        x_194 = None
+        x_196 = torch.nn.functional.dropout(x_195, 0.0, False, False)
+        x_195 = None
+        x_197 = torch._C._nn.linear(
+            x_196,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_196 = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_198 = torch.nn.functional.dropout(x_197, 0.0, False, False)
+        x_197 = None
+        x_199 = x_192 + x_198
+        x_192 = x_198 = None
+        x_200 = torch.nn.functional.layer_norm(
+            x_199,
+            (1408,),
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_15 = torch.cat(
+            (
+                l_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_ = None
+        qkv_30 = torch._C._nn.linear(
+            x_200,
+            weight=l_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_15,
+        )
+        x_200 = (
+            l_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_15 = None
+        reshape_30 = qkv_30.reshape(1, 257, 3, 16, -1)
+        qkv_30 = None
+        qkv_31 = reshape_30.permute(2, 0, 3, 1, 4)
+        reshape_30 = None
+        unbind_15 = qkv_31.unbind(0)
+        qkv_31 = None
+        q_15 = unbind_15[0]
+        k_15 = unbind_15[1]
+        v_15 = unbind_15[2]
+        unbind_15 = None
+        x_201 = torch._C._nn.scaled_dot_product_attention(
+            q_15, k_15, v_15, attn_mask=None, dropout_p=0.0
+        )
+        q_15 = k_15 = v_15 = None
+        transpose_16 = x_201.transpose(1, 2)
+        x_201 = None
+        x_202 = transpose_16.reshape(1, 257, 1408)
+        transpose_16 = None
+        x_203 = torch._C._nn.linear(
+            x_202,
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_202 = l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_204 = torch.nn.functional.dropout(x_203, 0.0, False, False)
+        x_203 = None
+        x_205 = x_199 + x_204
+        x_199 = x_204 = None
+        x_206 = torch.nn.functional.layer_norm(
+            x_205,
+            (1408,),
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        ) = None
+        x_207 = torch._C._nn.linear(
+            x_206,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_206 = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_208 = torch._C._nn.gelu(x_207, approximate="none")
+        x_207 = None
+        x_209 = torch.nn.functional.dropout(x_208, 0.0, False, False)
+        x_208 = None
+        x_210 = torch._C._nn.linear(
+            x_209,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_209 = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_211 = torch.nn.functional.dropout(x_210, 0.0, False, False)
+        x_210 = None
+        x_212 = x_205 + x_211
+        x_205 = x_211 = None
+        x_213 = torch.nn.functional.layer_norm(
+            x_212,
+            (1408,),
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_16 = torch.cat(
+            (
+                l_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_ = None
+        qkv_32 = torch._C._nn.linear(
+            x_213,
+            weight=l_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_16,
+        )
+        x_213 = (
+            l_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_16 = None
+        reshape_32 = qkv_32.reshape(1, 257, 3, 16, -1)
+        qkv_32 = None
+        qkv_33 = reshape_32.permute(2, 0, 3, 1, 4)
+        reshape_32 = None
+        unbind_16 = qkv_33.unbind(0)
+        qkv_33 = None
+        q_16 = unbind_16[0]
+        k_16 = unbind_16[1]
+        v_16 = unbind_16[2]
+        unbind_16 = None
+        x_214 = torch._C._nn.scaled_dot_product_attention(
+            q_16, k_16, v_16, attn_mask=None, dropout_p=0.0
+        )
+        q_16 = k_16 = v_16 = None
+        transpose_17 = x_214.transpose(1, 2)
+        x_214 = None
+        x_215 = transpose_17.reshape(1, 257, 1408)
+        transpose_17 = None
+        x_216 = torch._C._nn.linear(
+            x_215,
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_215 = l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_217 = torch.nn.functional.dropout(x_216, 0.0, False, False)
+        x_216 = None
+        x_218 = x_212 + x_217
+        x_212 = x_217 = None
+        x_219 = torch.nn.functional.layer_norm(
+            x_218,
+            (1408,),
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        ) = None
+        x_220 = torch._C._nn.linear(
+            x_219,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_219 = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_221 = torch._C._nn.gelu(x_220, approximate="none")
+        x_220 = None
+        x_222 = torch.nn.functional.dropout(x_221, 0.0, False, False)
+        x_221 = None
+        x_223 = torch._C._nn.linear(
+            x_222,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_222 = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_224 = torch.nn.functional.dropout(x_223, 0.0, False, False)
+        x_223 = None
+        x_225 = x_218 + x_224
+        x_218 = x_224 = None
+        x_226 = torch.nn.functional.layer_norm(
+            x_225,
+            (1408,),
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_17 = torch.cat(
+            (
+                l_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_ = None
+        qkv_34 = torch._C._nn.linear(
+            x_226,
+            weight=l_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_17,
+        )
+        x_226 = (
+            l_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_17 = None
+        reshape_34 = qkv_34.reshape(1, 257, 3, 16, -1)
+        qkv_34 = None
+        qkv_35 = reshape_34.permute(2, 0, 3, 1, 4)
+        reshape_34 = None
+        unbind_17 = qkv_35.unbind(0)
+        qkv_35 = None
+        q_17 = unbind_17[0]
+        k_17 = unbind_17[1]
+        v_17 = unbind_17[2]
+        unbind_17 = None
+        x_227 = torch._C._nn.scaled_dot_product_attention(
+            q_17, k_17, v_17, attn_mask=None, dropout_p=0.0
+        )
+        q_17 = k_17 = v_17 = None
+        transpose_18 = x_227.transpose(1, 2)
+        x_227 = None
+        x_228 = transpose_18.reshape(1, 257, 1408)
+        transpose_18 = None
+        x_229 = torch._C._nn.linear(
+            x_228,
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_228 = l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_230 = torch.nn.functional.dropout(x_229, 0.0, False, False)
+        x_229 = None
+        x_231 = x_225 + x_230
+        x_225 = x_230 = None
+        x_232 = torch.nn.functional.layer_norm(
+            x_231,
+            (1408,),
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        ) = None
+        x_233 = torch._C._nn.linear(
+            x_232,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_232 = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_234 = torch._C._nn.gelu(x_233, approximate="none")
+        x_233 = None
+        x_235 = torch.nn.functional.dropout(x_234, 0.0, False, False)
+        x_234 = None
+        x_236 = torch._C._nn.linear(
+            x_235,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_235 = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_237 = torch.nn.functional.dropout(x_236, 0.0, False, False)
+        x_236 = None
+        x_238 = x_231 + x_237
+        x_231 = x_237 = None
+        x_239 = torch.nn.functional.layer_norm(
+            x_238,
+            (1408,),
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_18 = torch.cat(
+            (
+                l_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_ = None
+        qkv_36 = torch._C._nn.linear(
+            x_239,
+            weight=l_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_18,
+        )
+        x_239 = (
+            l_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_18 = None
+        reshape_36 = qkv_36.reshape(1, 257, 3, 16, -1)
+        qkv_36 = None
+        qkv_37 = reshape_36.permute(2, 0, 3, 1, 4)
+        reshape_36 = None
+        unbind_18 = qkv_37.unbind(0)
+        qkv_37 = None
+        q_18 = unbind_18[0]
+        k_18 = unbind_18[1]
+        v_18 = unbind_18[2]
+        unbind_18 = None
+        x_240 = torch._C._nn.scaled_dot_product_attention(
+            q_18, k_18, v_18, attn_mask=None, dropout_p=0.0
+        )
+        q_18 = k_18 = v_18 = None
+        transpose_19 = x_240.transpose(1, 2)
+        x_240 = None
+        x_241 = transpose_19.reshape(1, 257, 1408)
+        transpose_19 = None
+        x_242 = torch._C._nn.linear(
+            x_241,
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_241 = l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_243 = torch.nn.functional.dropout(x_242, 0.0, False, False)
+        x_242 = None
+        x_244 = x_238 + x_243
+        x_238 = x_243 = None
+        x_245 = torch.nn.functional.layer_norm(
+            x_244,
+            (1408,),
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_
+        ) = None
+        x_246 = torch._C._nn.linear(
+            x_245,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_245 = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_247 = torch._C._nn.gelu(x_246, approximate="none")
+        x_246 = None
+        x_248 = torch.nn.functional.dropout(x_247, 0.0, False, False)
+        x_247 = None
+        x_249 = torch._C._nn.linear(
+            x_248,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_248 = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_250 = torch.nn.functional.dropout(x_249, 0.0, False, False)
+        x_249 = None
+        x_251 = x_244 + x_250
+        x_244 = x_250 = None
+        x_252 = torch.nn.functional.layer_norm(
+            x_251,
+            (1408,),
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_19 = torch.cat(
+            (
+                l_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_ = None
+        qkv_38 = torch._C._nn.linear(
+            x_252,
+            weight=l_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_19,
+        )
+        x_252 = (
+            l_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_19 = None
+        reshape_38 = qkv_38.reshape(1, 257, 3, 16, -1)
+        qkv_38 = None
+        qkv_39 = reshape_38.permute(2, 0, 3, 1, 4)
+        reshape_38 = None
+        unbind_19 = qkv_39.unbind(0)
+        qkv_39 = None
+        q_19 = unbind_19[0]
+        k_19 = unbind_19[1]
+        v_19 = unbind_19[2]
+        unbind_19 = None
+        x_253 = torch._C._nn.scaled_dot_product_attention(
+            q_19, k_19, v_19, attn_mask=None, dropout_p=0.0
+        )
+        q_19 = k_19 = v_19 = None
+        transpose_20 = x_253.transpose(1, 2)
+        x_253 = None
+        x_254 = transpose_20.reshape(1, 257, 1408)
+        transpose_20 = None
+        x_255 = torch._C._nn.linear(
+            x_254,
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_254 = l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_256 = torch.nn.functional.dropout(x_255, 0.0, False, False)
+        x_255 = None
+        x_257 = x_251 + x_256
+        x_251 = x_256 = None
+        x_258 = torch.nn.functional.layer_norm(
+            x_257,
+            (1408,),
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_
+        ) = None
+        x_259 = torch._C._nn.linear(
+            x_258,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_258 = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_260 = torch._C._nn.gelu(x_259, approximate="none")
+        x_259 = None
+        x_261 = torch.nn.functional.dropout(x_260, 0.0, False, False)
+        x_260 = None
+        x_262 = torch._C._nn.linear(
+            x_261,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_261 = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_263 = torch.nn.functional.dropout(x_262, 0.0, False, False)
+        x_262 = None
+        x_264 = x_257 + x_263
+        x_257 = x_263 = None
+        x_265 = torch.nn.functional.layer_norm(
+            x_264,
+            (1408,),
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_20 = torch.cat(
+            (
+                l_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_ = None
+        qkv_40 = torch._C._nn.linear(
+            x_265,
+            weight=l_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_20,
+        )
+        x_265 = (
+            l_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_20 = None
+        reshape_40 = qkv_40.reshape(1, 257, 3, 16, -1)
+        qkv_40 = None
+        qkv_41 = reshape_40.permute(2, 0, 3, 1, 4)
+        reshape_40 = None
+        unbind_20 = qkv_41.unbind(0)
+        qkv_41 = None
+        q_20 = unbind_20[0]
+        k_20 = unbind_20[1]
+        v_20 = unbind_20[2]
+        unbind_20 = None
+        x_266 = torch._C._nn.scaled_dot_product_attention(
+            q_20, k_20, v_20, attn_mask=None, dropout_p=0.0
+        )
+        q_20 = k_20 = v_20 = None
+        transpose_21 = x_266.transpose(1, 2)
+        x_266 = None
+        x_267 = transpose_21.reshape(1, 257, 1408)
+        transpose_21 = None
+        x_268 = torch._C._nn.linear(
+            x_267,
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_267 = l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_269 = torch.nn.functional.dropout(x_268, 0.0, False, False)
+        x_268 = None
+        x_270 = x_264 + x_269
+        x_264 = x_269 = None
+        x_271 = torch.nn.functional.layer_norm(
+            x_270,
+            (1408,),
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_
+        ) = None
+        x_272 = torch._C._nn.linear(
+            x_271,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_271 = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_273 = torch._C._nn.gelu(x_272, approximate="none")
+        x_272 = None
+        x_274 = torch.nn.functional.dropout(x_273, 0.0, False, False)
+        x_273 = None
+        x_275 = torch._C._nn.linear(
+            x_274,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_274 = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_276 = torch.nn.functional.dropout(x_275, 0.0, False, False)
+        x_275 = None
+        x_277 = x_270 + x_276
+        x_270 = x_276 = None
+        x_278 = torch.nn.functional.layer_norm(
+            x_277,
+            (1408,),
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_21 = torch.cat(
+            (
+                l_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_ = None
+        qkv_42 = torch._C._nn.linear(
+            x_278,
+            weight=l_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_21,
+        )
+        x_278 = (
+            l_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_21 = None
+        reshape_42 = qkv_42.reshape(1, 257, 3, 16, -1)
+        qkv_42 = None
+        qkv_43 = reshape_42.permute(2, 0, 3, 1, 4)
+        reshape_42 = None
+        unbind_21 = qkv_43.unbind(0)
+        qkv_43 = None
+        q_21 = unbind_21[0]
+        k_21 = unbind_21[1]
+        v_21 = unbind_21[2]
+        unbind_21 = None
+        x_279 = torch._C._nn.scaled_dot_product_attention(
+            q_21, k_21, v_21, attn_mask=None, dropout_p=0.0
+        )
+        q_21 = k_21 = v_21 = None
+        transpose_22 = x_279.transpose(1, 2)
+        x_279 = None
+        x_280 = transpose_22.reshape(1, 257, 1408)
+        transpose_22 = None
+        x_281 = torch._C._nn.linear(
+            x_280,
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_280 = l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_282 = torch.nn.functional.dropout(x_281, 0.0, False, False)
+        x_281 = None
+        x_283 = x_277 + x_282
+        x_277 = x_282 = None
+        x_284 = torch.nn.functional.layer_norm(
+            x_283,
+            (1408,),
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_
+        ) = None
+        x_285 = torch._C._nn.linear(
+            x_284,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_284 = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_286 = torch._C._nn.gelu(x_285, approximate="none")
+        x_285 = None
+        x_287 = torch.nn.functional.dropout(x_286, 0.0, False, False)
+        x_286 = None
+        x_288 = torch._C._nn.linear(
+            x_287,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_287 = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_289 = torch.nn.functional.dropout(x_288, 0.0, False, False)
+        x_288 = None
+        x_290 = x_283 + x_289
+        x_283 = x_289 = None
+        x_291 = torch.nn.functional.layer_norm(
+            x_290,
+            (1408,),
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_22 = torch.cat(
+            (
+                l_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_ = None
+        qkv_44 = torch._C._nn.linear(
+            x_291,
+            weight=l_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_22,
+        )
+        x_291 = (
+            l_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_22 = None
+        reshape_44 = qkv_44.reshape(1, 257, 3, 16, -1)
+        qkv_44 = None
+        qkv_45 = reshape_44.permute(2, 0, 3, 1, 4)
+        reshape_44 = None
+        unbind_22 = qkv_45.unbind(0)
+        qkv_45 = None
+        q_22 = unbind_22[0]
+        k_22 = unbind_22[1]
+        v_22 = unbind_22[2]
+        unbind_22 = None
+        x_292 = torch._C._nn.scaled_dot_product_attention(
+            q_22, k_22, v_22, attn_mask=None, dropout_p=0.0
+        )
+        q_22 = k_22 = v_22 = None
+        transpose_23 = x_292.transpose(1, 2)
+        x_292 = None
+        x_293 = transpose_23.reshape(1, 257, 1408)
+        transpose_23 = None
+        x_294 = torch._C._nn.linear(
+            x_293,
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_293 = l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_295 = torch.nn.functional.dropout(x_294, 0.0, False, False)
+        x_294 = None
+        x_296 = x_290 + x_295
+        x_290 = x_295 = None
+        x_297 = torch.nn.functional.layer_norm(
+            x_296,
+            (1408,),
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_
+        ) = None
+        x_298 = torch._C._nn.linear(
+            x_297,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_297 = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_299 = torch._C._nn.gelu(x_298, approximate="none")
+        x_298 = None
+        x_300 = torch.nn.functional.dropout(x_299, 0.0, False, False)
+        x_299 = None
+        x_301 = torch._C._nn.linear(
+            x_300,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_300 = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_302 = torch.nn.functional.dropout(x_301, 0.0, False, False)
+        x_301 = None
+        x_303 = x_296 + x_302
+        x_296 = x_302 = None
+        x_304 = torch.nn.functional.layer_norm(
+            x_303,
+            (1408,),
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_23 = torch.cat(
+            (
+                l_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_ = None
+        qkv_46 = torch._C._nn.linear(
+            x_304,
+            weight=l_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_23,
+        )
+        x_304 = (
+            l_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_23 = None
+        reshape_46 = qkv_46.reshape(1, 257, 3, 16, -1)
+        qkv_46 = None
+        qkv_47 = reshape_46.permute(2, 0, 3, 1, 4)
+        reshape_46 = None
+        unbind_23 = qkv_47.unbind(0)
+        qkv_47 = None
+        q_23 = unbind_23[0]
+        k_23 = unbind_23[1]
+        v_23 = unbind_23[2]
+        unbind_23 = None
+        x_305 = torch._C._nn.scaled_dot_product_attention(
+            q_23, k_23, v_23, attn_mask=None, dropout_p=0.0
+        )
+        q_23 = k_23 = v_23 = None
+        transpose_24 = x_305.transpose(1, 2)
+        x_305 = None
+        x_306 = transpose_24.reshape(1, 257, 1408)
+        transpose_24 = None
+        x_307 = torch._C._nn.linear(
+            x_306,
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_306 = l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_308 = torch.nn.functional.dropout(x_307, 0.0, False, False)
+        x_307 = None
+        x_309 = x_303 + x_308
+        x_303 = x_308 = None
+        x_310 = torch.nn.functional.layer_norm(
+            x_309,
+            (1408,),
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_
+        ) = None
+        x_311 = torch._C._nn.linear(
+            x_310,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_310 = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_312 = torch._C._nn.gelu(x_311, approximate="none")
+        x_311 = None
+        x_313 = torch.nn.functional.dropout(x_312, 0.0, False, False)
+        x_312 = None
+        x_314 = torch._C._nn.linear(
+            x_313,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_313 = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_315 = torch.nn.functional.dropout(x_314, 0.0, False, False)
+        x_314 = None
+        x_316 = x_309 + x_315
+        x_309 = x_315 = None
+        x_317 = torch.nn.functional.layer_norm(
+            x_316,
+            (1408,),
+            l_self_modules_blocks_modules_24_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_24_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_24_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_24 = torch.cat(
+            (
+                l_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_ = None
+        qkv_48 = torch._C._nn.linear(
+            x_317,
+            weight=l_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_24,
+        )
+        x_317 = (
+            l_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_24 = None
+        reshape_48 = qkv_48.reshape(1, 257, 3, 16, -1)
+        qkv_48 = None
+        qkv_49 = reshape_48.permute(2, 0, 3, 1, 4)
+        reshape_48 = None
+        unbind_24 = qkv_49.unbind(0)
+        qkv_49 = None
+        q_24 = unbind_24[0]
+        k_24 = unbind_24[1]
+        v_24 = unbind_24[2]
+        unbind_24 = None
+        x_318 = torch._C._nn.scaled_dot_product_attention(
+            q_24, k_24, v_24, attn_mask=None, dropout_p=0.0
+        )
+        q_24 = k_24 = v_24 = None
+        transpose_25 = x_318.transpose(1, 2)
+        x_318 = None
+        x_319 = transpose_25.reshape(1, 257, 1408)
+        transpose_25 = None
+        x_320 = torch._C._nn.linear(
+            x_319,
+            l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_319 = l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_321 = torch.nn.functional.dropout(x_320, 0.0, False, False)
+        x_320 = None
+        x_322 = x_316 + x_321
+        x_316 = x_321 = None
+        x_323 = torch.nn.functional.layer_norm(
+            x_322,
+            (1408,),
+            l_self_modules_blocks_modules_24_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_24_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_24_modules_norm2_parameters_bias_
+        ) = None
+        x_324 = torch._C._nn.linear(
+            x_323,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_323 = (
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_325 = torch._C._nn.gelu(x_324, approximate="none")
+        x_324 = None
+        x_326 = torch.nn.functional.dropout(x_325, 0.0, False, False)
+        x_325 = None
+        x_327 = torch._C._nn.linear(
+            x_326,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_326 = (
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_328 = torch.nn.functional.dropout(x_327, 0.0, False, False)
+        x_327 = None
+        x_329 = x_322 + x_328
+        x_322 = x_328 = None
+        x_330 = torch.nn.functional.layer_norm(
+            x_329,
+            (1408,),
+            l_self_modules_blocks_modules_25_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_25_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_25_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_25 = torch.cat(
+            (
+                l_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_ = None
+        qkv_50 = torch._C._nn.linear(
+            x_330,
+            weight=l_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_25,
+        )
+        x_330 = (
+            l_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_25 = None
+        reshape_50 = qkv_50.reshape(1, 257, 3, 16, -1)
+        qkv_50 = None
+        qkv_51 = reshape_50.permute(2, 0, 3, 1, 4)
+        reshape_50 = None
+        unbind_25 = qkv_51.unbind(0)
+        qkv_51 = None
+        q_25 = unbind_25[0]
+        k_25 = unbind_25[1]
+        v_25 = unbind_25[2]
+        unbind_25 = None
+        x_331 = torch._C._nn.scaled_dot_product_attention(
+            q_25, k_25, v_25, attn_mask=None, dropout_p=0.0
+        )
+        q_25 = k_25 = v_25 = None
+        transpose_26 = x_331.transpose(1, 2)
+        x_331 = None
+        x_332 = transpose_26.reshape(1, 257, 1408)
+        transpose_26 = None
+        x_333 = torch._C._nn.linear(
+            x_332,
+            l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_332 = l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_334 = torch.nn.functional.dropout(x_333, 0.0, False, False)
+        x_333 = None
+        x_335 = x_329 + x_334
+        x_329 = x_334 = None
+        x_336 = torch.nn.functional.layer_norm(
+            x_335,
+            (1408,),
+            l_self_modules_blocks_modules_25_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_25_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_25_modules_norm2_parameters_bias_
+        ) = None
+        x_337 = torch._C._nn.linear(
+            x_336,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_336 = (
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_338 = torch._C._nn.gelu(x_337, approximate="none")
+        x_337 = None
+        x_339 = torch.nn.functional.dropout(x_338, 0.0, False, False)
+        x_338 = None
+        x_340 = torch._C._nn.linear(
+            x_339,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_339 = (
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_341 = torch.nn.functional.dropout(x_340, 0.0, False, False)
+        x_340 = None
+        x_342 = x_335 + x_341
+        x_335 = x_341 = None
+        x_343 = torch.nn.functional.layer_norm(
+            x_342,
+            (1408,),
+            l_self_modules_blocks_modules_26_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_26_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_26_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_26 = torch.cat(
+            (
+                l_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_ = None
+        qkv_52 = torch._C._nn.linear(
+            x_343,
+            weight=l_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_26,
+        )
+        x_343 = (
+            l_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_26 = None
+        reshape_52 = qkv_52.reshape(1, 257, 3, 16, -1)
+        qkv_52 = None
+        qkv_53 = reshape_52.permute(2, 0, 3, 1, 4)
+        reshape_52 = None
+        unbind_26 = qkv_53.unbind(0)
+        qkv_53 = None
+        q_26 = unbind_26[0]
+        k_26 = unbind_26[1]
+        v_26 = unbind_26[2]
+        unbind_26 = None
+        x_344 = torch._C._nn.scaled_dot_product_attention(
+            q_26, k_26, v_26, attn_mask=None, dropout_p=0.0
+        )
+        q_26 = k_26 = v_26 = None
+        transpose_27 = x_344.transpose(1, 2)
+        x_344 = None
+        x_345 = transpose_27.reshape(1, 257, 1408)
+        transpose_27 = None
+        x_346 = torch._C._nn.linear(
+            x_345,
+            l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_345 = l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_347 = torch.nn.functional.dropout(x_346, 0.0, False, False)
+        x_346 = None
+        x_348 = x_342 + x_347
+        x_342 = x_347 = None
+        x_349 = torch.nn.functional.layer_norm(
+            x_348,
+            (1408,),
+            l_self_modules_blocks_modules_26_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_26_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_26_modules_norm2_parameters_bias_
+        ) = None
+        x_350 = torch._C._nn.linear(
+            x_349,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_349 = (
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_351 = torch._C._nn.gelu(x_350, approximate="none")
+        x_350 = None
+        x_352 = torch.nn.functional.dropout(x_351, 0.0, False, False)
+        x_351 = None
+        x_353 = torch._C._nn.linear(
+            x_352,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_352 = (
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_354 = torch.nn.functional.dropout(x_353, 0.0, False, False)
+        x_353 = None
+        x_355 = x_348 + x_354
+        x_348 = x_354 = None
+        x_356 = torch.nn.functional.layer_norm(
+            x_355,
+            (1408,),
+            l_self_modules_blocks_modules_27_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_27_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_27_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_27 = torch.cat(
+            (
+                l_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_ = None
+        qkv_54 = torch._C._nn.linear(
+            x_356,
+            weight=l_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_27,
+        )
+        x_356 = (
+            l_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_27 = None
+        reshape_54 = qkv_54.reshape(1, 257, 3, 16, -1)
+        qkv_54 = None
+        qkv_55 = reshape_54.permute(2, 0, 3, 1, 4)
+        reshape_54 = None
+        unbind_27 = qkv_55.unbind(0)
+        qkv_55 = None
+        q_27 = unbind_27[0]
+        k_27 = unbind_27[1]
+        v_27 = unbind_27[2]
+        unbind_27 = None
+        x_357 = torch._C._nn.scaled_dot_product_attention(
+            q_27, k_27, v_27, attn_mask=None, dropout_p=0.0
+        )
+        q_27 = k_27 = v_27 = None
+        transpose_28 = x_357.transpose(1, 2)
+        x_357 = None
+        x_358 = transpose_28.reshape(1, 257, 1408)
+        transpose_28 = None
+        x_359 = torch._C._nn.linear(
+            x_358,
+            l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_358 = l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_360 = torch.nn.functional.dropout(x_359, 0.0, False, False)
+        x_359 = None
+        x_361 = x_355 + x_360
+        x_355 = x_360 = None
+        x_362 = torch.nn.functional.layer_norm(
+            x_361,
+            (1408,),
+            l_self_modules_blocks_modules_27_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_27_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_27_modules_norm2_parameters_bias_
+        ) = None
+        x_363 = torch._C._nn.linear(
+            x_362,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_362 = (
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_364 = torch._C._nn.gelu(x_363, approximate="none")
+        x_363 = None
+        x_365 = torch.nn.functional.dropout(x_364, 0.0, False, False)
+        x_364 = None
+        x_366 = torch._C._nn.linear(
+            x_365,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_365 = (
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_367 = torch.nn.functional.dropout(x_366, 0.0, False, False)
+        x_366 = None
+        x_368 = x_361 + x_367
+        x_361 = x_367 = None
+        x_369 = torch.nn.functional.layer_norm(
+            x_368,
+            (1408,),
+            l_self_modules_blocks_modules_28_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_28_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_28_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_28 = torch.cat(
+            (
+                l_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_ = None
+        qkv_56 = torch._C._nn.linear(
+            x_369,
+            weight=l_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_28,
+        )
+        x_369 = (
+            l_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_28 = None
+        reshape_56 = qkv_56.reshape(1, 257, 3, 16, -1)
+        qkv_56 = None
+        qkv_57 = reshape_56.permute(2, 0, 3, 1, 4)
+        reshape_56 = None
+        unbind_28 = qkv_57.unbind(0)
+        qkv_57 = None
+        q_28 = unbind_28[0]
+        k_28 = unbind_28[1]
+        v_28 = unbind_28[2]
+        unbind_28 = None
+        x_370 = torch._C._nn.scaled_dot_product_attention(
+            q_28, k_28, v_28, attn_mask=None, dropout_p=0.0
+        )
+        q_28 = k_28 = v_28 = None
+        transpose_29 = x_370.transpose(1, 2)
+        x_370 = None
+        x_371 = transpose_29.reshape(1, 257, 1408)
+        transpose_29 = None
+        x_372 = torch._C._nn.linear(
+            x_371,
+            l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_371 = l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_373 = torch.nn.functional.dropout(x_372, 0.0, False, False)
+        x_372 = None
+        x_374 = x_368 + x_373
+        x_368 = x_373 = None
+        x_375 = torch.nn.functional.layer_norm(
+            x_374,
+            (1408,),
+            l_self_modules_blocks_modules_28_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_28_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_28_modules_norm2_parameters_bias_
+        ) = None
+        x_376 = torch._C._nn.linear(
+            x_375,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_375 = (
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_377 = torch._C._nn.gelu(x_376, approximate="none")
+        x_376 = None
+        x_378 = torch.nn.functional.dropout(x_377, 0.0, False, False)
+        x_377 = None
+        x_379 = torch._C._nn.linear(
+            x_378,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_378 = (
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_380 = torch.nn.functional.dropout(x_379, 0.0, False, False)
+        x_379 = None
+        x_381 = x_374 + x_380
+        x_374 = x_380 = None
+        x_382 = torch.nn.functional.layer_norm(
+            x_381,
+            (1408,),
+            l_self_modules_blocks_modules_29_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_29_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_29_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_29 = torch.cat(
+            (
+                l_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_ = None
+        qkv_58 = torch._C._nn.linear(
+            x_382,
+            weight=l_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_29,
+        )
+        x_382 = (
+            l_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_29 = None
+        reshape_58 = qkv_58.reshape(1, 257, 3, 16, -1)
+        qkv_58 = None
+        qkv_59 = reshape_58.permute(2, 0, 3, 1, 4)
+        reshape_58 = None
+        unbind_29 = qkv_59.unbind(0)
+        qkv_59 = None
+        q_29 = unbind_29[0]
+        k_29 = unbind_29[1]
+        v_29 = unbind_29[2]
+        unbind_29 = None
+        x_383 = torch._C._nn.scaled_dot_product_attention(
+            q_29, k_29, v_29, attn_mask=None, dropout_p=0.0
+        )
+        q_29 = k_29 = v_29 = None
+        transpose_30 = x_383.transpose(1, 2)
+        x_383 = None
+        x_384 = transpose_30.reshape(1, 257, 1408)
+        transpose_30 = None
+        x_385 = torch._C._nn.linear(
+            x_384,
+            l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_384 = l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_386 = torch.nn.functional.dropout(x_385, 0.0, False, False)
+        x_385 = None
+        x_387 = x_381 + x_386
+        x_381 = x_386 = None
+        x_388 = torch.nn.functional.layer_norm(
+            x_387,
+            (1408,),
+            l_self_modules_blocks_modules_29_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_29_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_29_modules_norm2_parameters_bias_
+        ) = None
+        x_389 = torch._C._nn.linear(
+            x_388,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_388 = (
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_390 = torch._C._nn.gelu(x_389, approximate="none")
+        x_389 = None
+        x_391 = torch.nn.functional.dropout(x_390, 0.0, False, False)
+        x_390 = None
+        x_392 = torch._C._nn.linear(
+            x_391,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_391 = (
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_393 = torch.nn.functional.dropout(x_392, 0.0, False, False)
+        x_392 = None
+        x_394 = x_387 + x_393
+        x_387 = x_393 = None
+        x_395 = torch.nn.functional.layer_norm(
+            x_394,
+            (1408,),
+            l_self_modules_blocks_modules_30_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_30_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_30_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_30 = torch.cat(
+            (
+                l_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_ = None
+        qkv_60 = torch._C._nn.linear(
+            x_395,
+            weight=l_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_30,
+        )
+        x_395 = (
+            l_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_30 = None
+        reshape_60 = qkv_60.reshape(1, 257, 3, 16, -1)
+        qkv_60 = None
+        qkv_61 = reshape_60.permute(2, 0, 3, 1, 4)
+        reshape_60 = None
+        unbind_30 = qkv_61.unbind(0)
+        qkv_61 = None
+        q_30 = unbind_30[0]
+        k_30 = unbind_30[1]
+        v_30 = unbind_30[2]
+        unbind_30 = None
+        x_396 = torch._C._nn.scaled_dot_product_attention(
+            q_30, k_30, v_30, attn_mask=None, dropout_p=0.0
+        )
+        q_30 = k_30 = v_30 = None
+        transpose_31 = x_396.transpose(1, 2)
+        x_396 = None
+        x_397 = transpose_31.reshape(1, 257, 1408)
+        transpose_31 = None
+        x_398 = torch._C._nn.linear(
+            x_397,
+            l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_397 = l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_399 = torch.nn.functional.dropout(x_398, 0.0, False, False)
+        x_398 = None
+        x_400 = x_394 + x_399
+        x_394 = x_399 = None
+        x_401 = torch.nn.functional.layer_norm(
+            x_400,
+            (1408,),
+            l_self_modules_blocks_modules_30_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_30_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_30_modules_norm2_parameters_bias_
+        ) = None
+        x_402 = torch._C._nn.linear(
+            x_401,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_401 = (
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_403 = torch._C._nn.gelu(x_402, approximate="none")
+        x_402 = None
+        x_404 = torch.nn.functional.dropout(x_403, 0.0, False, False)
+        x_403 = None
+        x_405 = torch._C._nn.linear(
+            x_404,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_404 = (
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_406 = torch.nn.functional.dropout(x_405, 0.0, False, False)
+        x_405 = None
+        x_407 = x_400 + x_406
+        x_400 = x_406 = None
+        x_408 = torch.nn.functional.layer_norm(
+            x_407,
+            (1408,),
+            l_self_modules_blocks_modules_31_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_31_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_31_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_31 = torch.cat(
+            (
+                l_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_ = None
+        qkv_62 = torch._C._nn.linear(
+            x_408,
+            weight=l_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_31,
+        )
+        x_408 = (
+            l_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_31 = None
+        reshape_62 = qkv_62.reshape(1, 257, 3, 16, -1)
+        qkv_62 = None
+        qkv_63 = reshape_62.permute(2, 0, 3, 1, 4)
+        reshape_62 = None
+        unbind_31 = qkv_63.unbind(0)
+        qkv_63 = None
+        q_31 = unbind_31[0]
+        k_31 = unbind_31[1]
+        v_31 = unbind_31[2]
+        unbind_31 = None
+        x_409 = torch._C._nn.scaled_dot_product_attention(
+            q_31, k_31, v_31, attn_mask=None, dropout_p=0.0
+        )
+        q_31 = k_31 = v_31 = None
+        transpose_32 = x_409.transpose(1, 2)
+        x_409 = None
+        x_410 = transpose_32.reshape(1, 257, 1408)
+        transpose_32 = None
+        x_411 = torch._C._nn.linear(
+            x_410,
+            l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_410 = l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_412 = torch.nn.functional.dropout(x_411, 0.0, False, False)
+        x_411 = None
+        x_413 = x_407 + x_412
+        x_407 = x_412 = None
+        x_414 = torch.nn.functional.layer_norm(
+            x_413,
+            (1408,),
+            l_self_modules_blocks_modules_31_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_31_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_31_modules_norm2_parameters_bias_
+        ) = None
+        x_415 = torch._C._nn.linear(
+            x_414,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_414 = (
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_416 = torch._C._nn.gelu(x_415, approximate="none")
+        x_415 = None
+        x_417 = torch.nn.functional.dropout(x_416, 0.0, False, False)
+        x_416 = None
+        x_418 = torch._C._nn.linear(
+            x_417,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_417 = (
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_419 = torch.nn.functional.dropout(x_418, 0.0, False, False)
+        x_418 = None
+        x_420 = x_413 + x_419
+        x_413 = x_419 = None
+        x_421 = torch.nn.functional.layer_norm(
+            x_420,
+            (1408,),
+            l_self_modules_blocks_modules_32_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_32_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_32_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_32 = torch.cat(
+            (
+                l_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_ = None
+        qkv_64 = torch._C._nn.linear(
+            x_421,
+            weight=l_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_32,
+        )
+        x_421 = (
+            l_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_32 = None
+        reshape_64 = qkv_64.reshape(1, 257, 3, 16, -1)
+        qkv_64 = None
+        qkv_65 = reshape_64.permute(2, 0, 3, 1, 4)
+        reshape_64 = None
+        unbind_32 = qkv_65.unbind(0)
+        qkv_65 = None
+        q_32 = unbind_32[0]
+        k_32 = unbind_32[1]
+        v_32 = unbind_32[2]
+        unbind_32 = None
+        x_422 = torch._C._nn.scaled_dot_product_attention(
+            q_32, k_32, v_32, attn_mask=None, dropout_p=0.0
+        )
+        q_32 = k_32 = v_32 = None
+        transpose_33 = x_422.transpose(1, 2)
+        x_422 = None
+        x_423 = transpose_33.reshape(1, 257, 1408)
+        transpose_33 = None
+        x_424 = torch._C._nn.linear(
+            x_423,
+            l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_423 = l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_425 = torch.nn.functional.dropout(x_424, 0.0, False, False)
+        x_424 = None
+        x_426 = x_420 + x_425
+        x_420 = x_425 = None
+        x_427 = torch.nn.functional.layer_norm(
+            x_426,
+            (1408,),
+            l_self_modules_blocks_modules_32_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_32_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_32_modules_norm2_parameters_bias_
+        ) = None
+        x_428 = torch._C._nn.linear(
+            x_427,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_427 = (
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_429 = torch._C._nn.gelu(x_428, approximate="none")
+        x_428 = None
+        x_430 = torch.nn.functional.dropout(x_429, 0.0, False, False)
+        x_429 = None
+        x_431 = torch._C._nn.linear(
+            x_430,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_430 = (
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_432 = torch.nn.functional.dropout(x_431, 0.0, False, False)
+        x_431 = None
+        x_433 = x_426 + x_432
+        x_426 = x_432 = None
+        x_434 = torch.nn.functional.layer_norm(
+            x_433,
+            (1408,),
+            l_self_modules_blocks_modules_33_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_33_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_33_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_33 = torch.cat(
+            (
+                l_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_ = None
+        qkv_66 = torch._C._nn.linear(
+            x_434,
+            weight=l_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_33,
+        )
+        x_434 = (
+            l_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_33 = None
+        reshape_66 = qkv_66.reshape(1, 257, 3, 16, -1)
+        qkv_66 = None
+        qkv_67 = reshape_66.permute(2, 0, 3, 1, 4)
+        reshape_66 = None
+        unbind_33 = qkv_67.unbind(0)
+        qkv_67 = None
+        q_33 = unbind_33[0]
+        k_33 = unbind_33[1]
+        v_33 = unbind_33[2]
+        unbind_33 = None
+        x_435 = torch._C._nn.scaled_dot_product_attention(
+            q_33, k_33, v_33, attn_mask=None, dropout_p=0.0
+        )
+        q_33 = k_33 = v_33 = None
+        transpose_34 = x_435.transpose(1, 2)
+        x_435 = None
+        x_436 = transpose_34.reshape(1, 257, 1408)
+        transpose_34 = None
+        x_437 = torch._C._nn.linear(
+            x_436,
+            l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_436 = l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_438 = torch.nn.functional.dropout(x_437, 0.0, False, False)
+        x_437 = None
+        x_439 = x_433 + x_438
+        x_433 = x_438 = None
+        x_440 = torch.nn.functional.layer_norm(
+            x_439,
+            (1408,),
+            l_self_modules_blocks_modules_33_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_33_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_33_modules_norm2_parameters_bias_
+        ) = None
+        x_441 = torch._C._nn.linear(
+            x_440,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_440 = (
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_442 = torch._C._nn.gelu(x_441, approximate="none")
+        x_441 = None
+        x_443 = torch.nn.functional.dropout(x_442, 0.0, False, False)
+        x_442 = None
+        x_444 = torch._C._nn.linear(
+            x_443,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_443 = (
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_445 = torch.nn.functional.dropout(x_444, 0.0, False, False)
+        x_444 = None
+        x_446 = x_439 + x_445
+        x_439 = x_445 = None
+        x_447 = torch.nn.functional.layer_norm(
+            x_446,
+            (1408,),
+            l_self_modules_blocks_modules_34_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_34_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_34_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_34 = torch.cat(
+            (
+                l_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_ = None
+        qkv_68 = torch._C._nn.linear(
+            x_447,
+            weight=l_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_34,
+        )
+        x_447 = (
+            l_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_34 = None
+        reshape_68 = qkv_68.reshape(1, 257, 3, 16, -1)
+        qkv_68 = None
+        qkv_69 = reshape_68.permute(2, 0, 3, 1, 4)
+        reshape_68 = None
+        unbind_34 = qkv_69.unbind(0)
+        qkv_69 = None
+        q_34 = unbind_34[0]
+        k_34 = unbind_34[1]
+        v_34 = unbind_34[2]
+        unbind_34 = None
+        x_448 = torch._C._nn.scaled_dot_product_attention(
+            q_34, k_34, v_34, attn_mask=None, dropout_p=0.0
+        )
+        q_34 = k_34 = v_34 = None
+        transpose_35 = x_448.transpose(1, 2)
+        x_448 = None
+        x_449 = transpose_35.reshape(1, 257, 1408)
+        transpose_35 = None
+        x_450 = torch._C._nn.linear(
+            x_449,
+            l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_449 = l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_451 = torch.nn.functional.dropout(x_450, 0.0, False, False)
+        x_450 = None
+        x_452 = x_446 + x_451
+        x_446 = x_451 = None
+        x_453 = torch.nn.functional.layer_norm(
+            x_452,
+            (1408,),
+            l_self_modules_blocks_modules_34_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_34_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_34_modules_norm2_parameters_bias_
+        ) = None
+        x_454 = torch._C._nn.linear(
+            x_453,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_453 = (
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_455 = torch._C._nn.gelu(x_454, approximate="none")
+        x_454 = None
+        x_456 = torch.nn.functional.dropout(x_455, 0.0, False, False)
+        x_455 = None
+        x_457 = torch._C._nn.linear(
+            x_456,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_456 = (
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_458 = torch.nn.functional.dropout(x_457, 0.0, False, False)
+        x_457 = None
+        x_459 = x_452 + x_458
+        x_452 = x_458 = None
+        x_460 = torch.nn.functional.layer_norm(
+            x_459,
+            (1408,),
+            l_self_modules_blocks_modules_35_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_35_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_35_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_35 = torch.cat(
+            (
+                l_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_ = None
+        qkv_70 = torch._C._nn.linear(
+            x_460,
+            weight=l_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_35,
+        )
+        x_460 = (
+            l_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_35 = None
+        reshape_70 = qkv_70.reshape(1, 257, 3, 16, -1)
+        qkv_70 = None
+        qkv_71 = reshape_70.permute(2, 0, 3, 1, 4)
+        reshape_70 = None
+        unbind_35 = qkv_71.unbind(0)
+        qkv_71 = None
+        q_35 = unbind_35[0]
+        k_35 = unbind_35[1]
+        v_35 = unbind_35[2]
+        unbind_35 = None
+        x_461 = torch._C._nn.scaled_dot_product_attention(
+            q_35, k_35, v_35, attn_mask=None, dropout_p=0.0
+        )
+        q_35 = k_35 = v_35 = None
+        transpose_36 = x_461.transpose(1, 2)
+        x_461 = None
+        x_462 = transpose_36.reshape(1, 257, 1408)
+        transpose_36 = None
+        x_463 = torch._C._nn.linear(
+            x_462,
+            l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_462 = l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_464 = torch.nn.functional.dropout(x_463, 0.0, False, False)
+        x_463 = None
+        x_465 = x_459 + x_464
+        x_459 = x_464 = None
+        x_466 = torch.nn.functional.layer_norm(
+            x_465,
+            (1408,),
+            l_self_modules_blocks_modules_35_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_35_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_35_modules_norm2_parameters_bias_
+        ) = None
+        x_467 = torch._C._nn.linear(
+            x_466,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_466 = (
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_468 = torch._C._nn.gelu(x_467, approximate="none")
+        x_467 = None
+        x_469 = torch.nn.functional.dropout(x_468, 0.0, False, False)
+        x_468 = None
+        x_470 = torch._C._nn.linear(
+            x_469,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_469 = (
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_471 = torch.nn.functional.dropout(x_470, 0.0, False, False)
+        x_470 = None
+        x_472 = x_465 + x_471
+        x_465 = x_471 = None
+        x_473 = torch.nn.functional.layer_norm(
+            x_472,
+            (1408,),
+            l_self_modules_blocks_modules_36_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_36_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_36_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_36 = torch.cat(
+            (
+                l_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_ = None
+        qkv_72 = torch._C._nn.linear(
+            x_473,
+            weight=l_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_36,
+        )
+        x_473 = (
+            l_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_36 = None
+        reshape_72 = qkv_72.reshape(1, 257, 3, 16, -1)
+        qkv_72 = None
+        qkv_73 = reshape_72.permute(2, 0, 3, 1, 4)
+        reshape_72 = None
+        unbind_36 = qkv_73.unbind(0)
+        qkv_73 = None
+        q_36 = unbind_36[0]
+        k_36 = unbind_36[1]
+        v_36 = unbind_36[2]
+        unbind_36 = None
+        x_474 = torch._C._nn.scaled_dot_product_attention(
+            q_36, k_36, v_36, attn_mask=None, dropout_p=0.0
+        )
+        q_36 = k_36 = v_36 = None
+        transpose_37 = x_474.transpose(1, 2)
+        x_474 = None
+        x_475 = transpose_37.reshape(1, 257, 1408)
+        transpose_37 = None
+        x_476 = torch._C._nn.linear(
+            x_475,
+            l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_475 = l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_477 = torch.nn.functional.dropout(x_476, 0.0, False, False)
+        x_476 = None
+        x_478 = x_472 + x_477
+        x_472 = x_477 = None
+        x_479 = torch.nn.functional.layer_norm(
+            x_478,
+            (1408,),
+            l_self_modules_blocks_modules_36_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_36_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_36_modules_norm2_parameters_bias_
+        ) = None
+        x_480 = torch._C._nn.linear(
+            x_479,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_479 = (
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_481 = torch._C._nn.gelu(x_480, approximate="none")
+        x_480 = None
+        x_482 = torch.nn.functional.dropout(x_481, 0.0, False, False)
+        x_481 = None
+        x_483 = torch._C._nn.linear(
+            x_482,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_482 = (
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_484 = torch.nn.functional.dropout(x_483, 0.0, False, False)
+        x_483 = None
+        x_485 = x_478 + x_484
+        x_478 = x_484 = None
+        x_486 = torch.nn.functional.layer_norm(
+            x_485,
+            (1408,),
+            l_self_modules_blocks_modules_37_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_37_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_37_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_37 = torch.cat(
+            (
+                l_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_ = None
+        qkv_74 = torch._C._nn.linear(
+            x_486,
+            weight=l_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_37,
+        )
+        x_486 = (
+            l_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_37 = None
+        reshape_74 = qkv_74.reshape(1, 257, 3, 16, -1)
+        qkv_74 = None
+        qkv_75 = reshape_74.permute(2, 0, 3, 1, 4)
+        reshape_74 = None
+        unbind_37 = qkv_75.unbind(0)
+        qkv_75 = None
+        q_37 = unbind_37[0]
+        k_37 = unbind_37[1]
+        v_37 = unbind_37[2]
+        unbind_37 = None
+        x_487 = torch._C._nn.scaled_dot_product_attention(
+            q_37, k_37, v_37, attn_mask=None, dropout_p=0.0
+        )
+        q_37 = k_37 = v_37 = None
+        transpose_38 = x_487.transpose(1, 2)
+        x_487 = None
+        x_488 = transpose_38.reshape(1, 257, 1408)
+        transpose_38 = None
+        x_489 = torch._C._nn.linear(
+            x_488,
+            l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_488 = l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_490 = torch.nn.functional.dropout(x_489, 0.0, False, False)
+        x_489 = None
+        x_491 = x_485 + x_490
+        x_485 = x_490 = None
+        x_492 = torch.nn.functional.layer_norm(
+            x_491,
+            (1408,),
+            l_self_modules_blocks_modules_37_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_37_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_37_modules_norm2_parameters_bias_
+        ) = None
+        x_493 = torch._C._nn.linear(
+            x_492,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_492 = (
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_494 = torch._C._nn.gelu(x_493, approximate="none")
+        x_493 = None
+        x_495 = torch.nn.functional.dropout(x_494, 0.0, False, False)
+        x_494 = None
+        x_496 = torch._C._nn.linear(
+            x_495,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_495 = (
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_497 = torch.nn.functional.dropout(x_496, 0.0, False, False)
+        x_496 = None
+        x_498 = x_491 + x_497
+        x_491 = x_497 = None
+        x_499 = torch.nn.functional.layer_norm(
+            x_498,
+            (1408,),
+            l_self_modules_blocks_modules_38_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_38_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_38_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_38 = torch.cat(
+            (
+                l_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_ = None
+        qkv_76 = torch._C._nn.linear(
+            x_499,
+            weight=l_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_38,
+        )
+        x_499 = (
+            l_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_38 = None
+        reshape_76 = qkv_76.reshape(1, 257, 3, 16, -1)
+        qkv_76 = None
+        qkv_77 = reshape_76.permute(2, 0, 3, 1, 4)
+        reshape_76 = None
+        unbind_38 = qkv_77.unbind(0)
+        qkv_77 = None
+        q_38 = unbind_38[0]
+        k_38 = unbind_38[1]
+        v_38 = unbind_38[2]
+        unbind_38 = None
+        x_500 = torch._C._nn.scaled_dot_product_attention(
+            q_38, k_38, v_38, attn_mask=None, dropout_p=0.0
+        )
+        q_38 = k_38 = v_38 = None
+        transpose_39 = x_500.transpose(1, 2)
+        x_500 = None
+        x_501 = transpose_39.reshape(1, 257, 1408)
+        transpose_39 = None
+        x_502 = torch._C._nn.linear(
+            x_501,
+            l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_501 = l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_503 = torch.nn.functional.dropout(x_502, 0.0, False, False)
+        x_502 = None
+        x_504 = x_498 + x_503
+        x_498 = x_503 = None
+        x_505 = torch.nn.functional.layer_norm(
+            x_504,
+            (1408,),
+            l_self_modules_blocks_modules_38_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_38_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_38_modules_norm2_parameters_bias_
+        ) = None
+        x_506 = torch._C._nn.linear(
+            x_505,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_505 = (
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_507 = torch._C._nn.gelu(x_506, approximate="none")
+        x_506 = None
+        x_508 = torch.nn.functional.dropout(x_507, 0.0, False, False)
+        x_507 = None
+        x_509 = torch._C._nn.linear(
+            x_508,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_508 = (
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_510 = torch.nn.functional.dropout(x_509, 0.0, False, False)
+        x_509 = None
+        x_511 = x_504 + x_510
+        x_504 = x_510 = None
+        x_512 = torch.nn.functional.layer_norm(
+            x_511,
+            (1408,),
+            l_self_modules_blocks_modules_39_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_39_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_39_modules_norm1_parameters_bias_
+        ) = None
+        qkv_bias_39 = torch.cat(
+            (
+                l_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_,
+                l_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_,
+                l_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_,
+            )
+        )
+        l_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_ = (
+            l_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_
+        ) = l_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_ = None
+        qkv_78 = torch._C._nn.linear(
+            x_512,
+            weight=l_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_,
+            bias=qkv_bias_39,
+        )
+        x_512 = (
+            l_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_
+        ) = qkv_bias_39 = None
+        reshape_78 = qkv_78.reshape(1, 257, 3, 16, -1)
+        qkv_78 = None
+        qkv_79 = reshape_78.permute(2, 0, 3, 1, 4)
+        reshape_78 = None
+        unbind_39 = qkv_79.unbind(0)
+        qkv_79 = None
+        q_39 = unbind_39[0]
+        k_39 = unbind_39[1]
+        v_39 = unbind_39[2]
+        unbind_39 = None
+        x_513 = torch._C._nn.scaled_dot_product_attention(
+            q_39, k_39, v_39, attn_mask=None, dropout_p=0.0
+        )
+        q_39 = k_39 = v_39 = None
+        transpose_40 = x_513.transpose(1, 2)
+        x_513 = None
+        x_514 = transpose_40.reshape(1, 257, 1408)
+        transpose_40 = None
+        x_515 = torch._C._nn.linear(
+            x_514,
+            l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_,
+        )
+        x_514 = l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_ = (
+            l_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_
+        ) = None
+        x_516 = torch.nn.functional.dropout(x_515, 0.0, False, False)
+        x_515 = None
+        x_517 = x_511 + x_516
+        x_511 = x_516 = None
+        x_518 = torch.nn.functional.layer_norm(
+            x_517,
+            (1408,),
+            l_self_modules_blocks_modules_39_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_39_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_39_modules_norm2_parameters_bias_
+        ) = None
+        x_519 = torch._C._nn.linear(
+            x_518,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_,
+        )
+        x_518 = (
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_
+        ) = None
+        x_520 = torch._C._nn.gelu(x_519, approximate="none")
+        x_519 = None
+        x_521 = torch.nn.functional.dropout(x_520, 0.0, False, False)
+        x_520 = None
+        x_522 = torch._C._nn.linear(
+            x_521,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_,
+        )
+        x_521 = (
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_
+        ) = None
+        x_523 = torch.nn.functional.dropout(x_522, 0.0, False, False)
+        x_522 = None
+        x_524 = x_517 + x_523
+        x_517 = x_523 = None
+        x_525 = torch.nn.functional.layer_norm(
+            x_524,
+            (1408,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_524 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_526 = x_525[(slice(None, None, None), 0)]
+        x_525 = None
+        x_527 = torch.nn.functional.dropout(x_526, 0.0, False, False)
+        x_526 = None
+        x_528 = torch._C._nn.linear(
+            x_527,
+            l_self_modules_head_parameters_weight_,
+            l_self_modules_head_parameters_bias_,
+        )
+        x_527 = (
+            l_self_modules_head_parameters_weight_
+        ) = l_self_modules_head_parameters_bias_ = None
+        return (x_528,)
diff --git a/samples/timm/eva_giant_patch14_clip_224.laion400m/weight_meta.py b/samples/timm/eva_giant_patch14_clip_224.laion400m/weight_meta.py
new file mode 100644
index 000000000..d49f2259b
--- /dev/null
+++ b/samples/timm/eva_giant_patch14_clip_224.laion400m/weight_meta.py
@@ -0,0 +1,5828 @@
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [1408, 3, 14, 14]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_pos_embed_:
+    name = "L_self_parameters_pos_embed_"
+    shape = [1, 257, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_parameters_cls_token_:
+    name = "L_self_parameters_cls_token_"
+    shape = [1, 1, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.006
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_qkv_parameters_weight_"
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.004
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_24_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_25_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_26_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_27_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_28_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_29_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_30_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_30_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_31_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_31_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_32_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_32_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_33_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_33_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_34_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_34_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_35_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_35_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_36_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_36_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_37_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_37_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_38_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_38_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_norm1_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_norm1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_parameters_q_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_buffers_k_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_parameters_v_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_39_modules_attn_modules_qkv_parameters_weight_"
+    )
+    shape = [4224, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_weight_"
+    )
+    shape = [1408, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_attn_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_norm2_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_norm2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_39_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_weight_:
+    name = "L_self_modules_head_parameters_weight_"
+    shape = [1024, 1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_bias_:
+    name = "L_self_modules_head_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fasternet_l.in1k/graph_hash.txt b/samples/timm/fasternet_l.in1k/graph_hash.txt
new file mode 100644
index 000000000..6f323683f
--- /dev/null
+++ b/samples/timm/fasternet_l.in1k/graph_hash.txt
@@ -0,0 +1 @@
+3225a92df4a9193a14aa1466fb9b2dc023940b31937ade2c5e72d458b17f7635
\ No newline at end of file
diff --git a/samples/timm/fasternet_l.in1k/graph_net.json b/samples/timm/fasternet_l.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fasternet_l.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fasternet_l.in1k/input_meta.py b/samples/timm/fasternet_l.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_l.in1k/input_tensor_constraints.py b/samples/timm/fasternet_l.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_l.in1k/model.py b/samples/timm/fasternet_l.in1k/model.py
new file mode 100644
index 000000000..29f34cf4d
--- /dev/null
+++ b/samples/timm/fasternet_l.in1k/model.py
@@ -0,0 +1,2007 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_norm_buffers_running_mean_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        )
+        l_self_modules_patch_embed_modules_norm_buffers_running_var_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_var_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        conv2d = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            None,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_patch_embed_modules_proj_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            conv2d,
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_,
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_,
+            l_self_modules_patch_embed_modules_norm_parameters_weight_,
+            l_self_modules_patch_embed_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_norm_parameters_bias_ = None
+        split = torch.functional.split(x, [48, 144], dim=1)
+        x1 = split[0]
+        x2 = split[1]
+        split = None
+        x1_1 = torch.conv2d(
+            x1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_1 = torch.cat((x1_1, x2), 1)
+        x1_1 = x2 = None
+        input_1 = torch.conv2d(
+            x_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_2 = x + input_4
+        x = input_4 = None
+        split_1 = torch.functional.split(x_2, [48, 144], dim=1)
+        x1_2 = split_1[0]
+        x2_1 = split_1[1]
+        split_1 = None
+        x1_3 = torch.conv2d(
+            x1_2,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_2 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_3 = torch.cat((x1_3, x2_1), 1)
+        x1_3 = x2_1 = None
+        input_5 = torch.conv2d(
+            x_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_3 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_6 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_5 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_7 = torch.nn.functional.relu(input_6, inplace=True)
+        input_6 = None
+        input_8 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_7 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_4 = x_2 + input_8
+        x_2 = input_8 = None
+        split_2 = torch.functional.split(x_4, [48, 144], dim=1)
+        x1_4 = split_2[0]
+        x2_2 = split_2[1]
+        split_2 = None
+        x1_5 = torch.conv2d(
+            x1_4,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_4 = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_5 = torch.cat((x1_5, x2_2), 1)
+        x1_5 = x2_2 = None
+        input_9 = torch.conv2d(
+            x_5,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_10 = torch.nn.functional.batch_norm(
+            input_9,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_9 = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_11 = torch.nn.functional.relu(input_10, inplace=True)
+        input_10 = None
+        input_12 = torch.conv2d(
+            input_11,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_11 = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_6 = x_4 + input_12
+        x_4 = input_12 = None
+        conv2d_10 = torch.conv2d(
+            x_6,
+            l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            conv2d_10,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_10 = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_7, [96, 288], dim=1)
+        x1_6 = split_3[0]
+        x2_3 = split_3[1]
+        split_3 = None
+        x1_7 = torch.conv2d(
+            x1_6,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_6 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_8 = torch.cat((x1_7, x2_3), 1)
+        x1_7 = x2_3 = None
+        input_13 = torch.conv2d(
+            x_8,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_14 = torch.nn.functional.batch_norm(
+            input_13,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_13 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_15 = torch.nn.functional.relu(input_14, inplace=True)
+        input_14 = None
+        input_16 = torch.conv2d(
+            input_15,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_15 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_9 = x_7 + input_16
+        x_7 = input_16 = None
+        split_4 = torch.functional.split(x_9, [96, 288], dim=1)
+        x1_8 = split_4[0]
+        x2_4 = split_4[1]
+        split_4 = None
+        x1_9 = torch.conv2d(
+            x1_8,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_8 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_10 = torch.cat((x1_9, x2_4), 1)
+        x1_9 = x2_4 = None
+        input_17 = torch.conv2d(
+            x_10,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_19 = torch.nn.functional.relu(input_18, inplace=True)
+        input_18 = None
+        input_20 = torch.conv2d(
+            input_19,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_19 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_11 = x_9 + input_20
+        x_9 = input_20 = None
+        split_5 = torch.functional.split(x_11, [96, 288], dim=1)
+        x1_10 = split_5[0]
+        x2_5 = split_5[1]
+        split_5 = None
+        x1_11 = torch.conv2d(
+            x1_10,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_10 = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_12 = torch.cat((x1_11, x2_5), 1)
+        x1_11 = x2_5 = None
+        input_21 = torch.conv2d(
+            x_12,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_22 = torch.nn.functional.batch_norm(
+            input_21,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_21 = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_23 = torch.nn.functional.relu(input_22, inplace=True)
+        input_22 = None
+        input_24 = torch.conv2d(
+            input_23,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_23 = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_13 = x_11 + input_24
+        x_11 = input_24 = None
+        split_6 = torch.functional.split(x_13, [96, 288], dim=1)
+        x1_12 = split_6[0]
+        x2_6 = split_6[1]
+        split_6 = None
+        x1_13 = torch.conv2d(
+            x1_12,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_12 = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_14 = torch.cat((x1_13, x2_6), 1)
+        x1_13 = x2_6 = None
+        input_25 = torch.conv2d(
+            x_14,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_26 = torch.nn.functional.batch_norm(
+            input_25,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_25 = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_27 = torch.nn.functional.relu(input_26, inplace=True)
+        input_26 = None
+        input_28 = torch.conv2d(
+            input_27,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_27 = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_15 = x_13 + input_28
+        x_13 = input_28 = None
+        conv2d_23 = torch.conv2d(
+            x_15,
+            l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_16 = torch.nn.functional.batch_norm(
+            conv2d_23,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_23 = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_16, [192, 576], dim=1)
+        x1_14 = split_7[0]
+        x2_7 = split_7[1]
+        split_7 = None
+        x1_15 = torch.conv2d(
+            x1_14,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_14 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_17 = torch.cat((x1_15, x2_7), 1)
+        x1_15 = x2_7 = None
+        input_29 = torch.conv2d(
+            x_17,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_30 = torch.nn.functional.batch_norm(
+            input_29,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_29 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_31 = torch.nn.functional.relu(input_30, inplace=True)
+        input_30 = None
+        input_32 = torch.conv2d(
+            input_31,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_31 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_18 = x_16 + input_32
+        x_16 = input_32 = None
+        split_8 = torch.functional.split(x_18, [192, 576], dim=1)
+        x1_16 = split_8[0]
+        x2_8 = split_8[1]
+        split_8 = None
+        x1_17 = torch.conv2d(
+            x1_16,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_16 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_19 = torch.cat((x1_17, x2_8), 1)
+        x1_17 = x2_8 = None
+        input_33 = torch.conv2d(
+            x_19,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_34 = torch.nn.functional.batch_norm(
+            input_33,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_33 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_35 = torch.nn.functional.relu(input_34, inplace=True)
+        input_34 = None
+        input_36 = torch.conv2d(
+            input_35,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_35 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_20 = x_18 + input_36
+        x_18 = input_36 = None
+        split_9 = torch.functional.split(x_20, [192, 576], dim=1)
+        x1_18 = split_9[0]
+        x2_9 = split_9[1]
+        split_9 = None
+        x1_19 = torch.conv2d(
+            x1_18,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_18 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_21 = torch.cat((x1_19, x2_9), 1)
+        x1_19 = x2_9 = None
+        input_37 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_38 = torch.nn.functional.batch_norm(
+            input_37,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_37 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_39 = torch.nn.functional.relu(input_38, inplace=True)
+        input_38 = None
+        input_40 = torch.conv2d(
+            input_39,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_39 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_22 = x_20 + input_40
+        x_20 = input_40 = None
+        split_10 = torch.functional.split(x_22, [192, 576], dim=1)
+        x1_20 = split_10[0]
+        x2_10 = split_10[1]
+        split_10 = None
+        x1_21 = torch.conv2d(
+            x1_20,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_20 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_23 = torch.cat((x1_21, x2_10), 1)
+        x1_21 = x2_10 = None
+        input_41 = torch.conv2d(
+            x_23,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_42 = torch.nn.functional.batch_norm(
+            input_41,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_41 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_43 = torch.nn.functional.relu(input_42, inplace=True)
+        input_42 = None
+        input_44 = torch.conv2d(
+            input_43,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_43 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_24 = x_22 + input_44
+        x_22 = input_44 = None
+        split_11 = torch.functional.split(x_24, [192, 576], dim=1)
+        x1_22 = split_11[0]
+        x2_11 = split_11[1]
+        split_11 = None
+        x1_23 = torch.conv2d(
+            x1_22,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_22 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_25 = torch.cat((x1_23, x2_11), 1)
+        x1_23 = x2_11 = None
+        input_45 = torch.conv2d(
+            x_25,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_46 = torch.nn.functional.batch_norm(
+            input_45,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_45 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_47 = torch.nn.functional.relu(input_46, inplace=True)
+        input_46 = None
+        input_48 = torch.conv2d(
+            input_47,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_47 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_26 = x_24 + input_48
+        x_24 = input_48 = None
+        split_12 = torch.functional.split(x_26, [192, 576], dim=1)
+        x1_24 = split_12[0]
+        x2_12 = split_12[1]
+        split_12 = None
+        x1_25 = torch.conv2d(
+            x1_24,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_24 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_27 = torch.cat((x1_25, x2_12), 1)
+        x1_25 = x2_12 = None
+        input_49 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_50 = torch.nn.functional.batch_norm(
+            input_49,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_49 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_51 = torch.nn.functional.relu(input_50, inplace=True)
+        input_50 = None
+        input_52 = torch.conv2d(
+            input_51,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_51 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_28 = x_26 + input_52
+        x_26 = input_52 = None
+        split_13 = torch.functional.split(x_28, [192, 576], dim=1)
+        x1_26 = split_13[0]
+        x2_13 = split_13[1]
+        split_13 = None
+        x1_27 = torch.conv2d(
+            x1_26,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_26 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_29 = torch.cat((x1_27, x2_13), 1)
+        x1_27 = x2_13 = None
+        input_53 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_29 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_54 = torch.nn.functional.batch_norm(
+            input_53,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_53 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_55 = torch.nn.functional.relu(input_54, inplace=True)
+        input_54 = None
+        input_56 = torch.conv2d(
+            input_55,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_55 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_30 = x_28 + input_56
+        x_28 = input_56 = None
+        split_14 = torch.functional.split(x_30, [192, 576], dim=1)
+        x1_28 = split_14[0]
+        x2_14 = split_14[1]
+        split_14 = None
+        x1_29 = torch.conv2d(
+            x1_28,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_28 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_31 = torch.cat((x1_29, x2_14), 1)
+        x1_29 = x2_14 = None
+        input_57 = torch.conv2d(
+            x_31,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_58 = torch.nn.functional.batch_norm(
+            input_57,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_57 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_59 = torch.nn.functional.relu(input_58, inplace=True)
+        input_58 = None
+        input_60 = torch.conv2d(
+            input_59,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_59 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_32 = x_30 + input_60
+        x_30 = input_60 = None
+        split_15 = torch.functional.split(x_32, [192, 576], dim=1)
+        x1_30 = split_15[0]
+        x2_15 = split_15[1]
+        split_15 = None
+        x1_31 = torch.conv2d(
+            x1_30,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_30 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_33 = torch.cat((x1_31, x2_15), 1)
+        x1_31 = x2_15 = None
+        input_61 = torch.conv2d(
+            x_33,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_33 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_62 = torch.nn.functional.batch_norm(
+            input_61,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_61 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_63 = torch.nn.functional.relu(input_62, inplace=True)
+        input_62 = None
+        input_64 = torch.conv2d(
+            input_63,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_63 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_34 = x_32 + input_64
+        x_32 = input_64 = None
+        split_16 = torch.functional.split(x_34, [192, 576], dim=1)
+        x1_32 = split_16[0]
+        x2_16 = split_16[1]
+        split_16 = None
+        x1_33 = torch.conv2d(
+            x1_32,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_32 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_35 = torch.cat((x1_33, x2_16), 1)
+        x1_33 = x2_16 = None
+        input_65 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_35 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_66 = torch.nn.functional.batch_norm(
+            input_65,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_65 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_67 = torch.nn.functional.relu(input_66, inplace=True)
+        input_66 = None
+        input_68 = torch.conv2d(
+            input_67,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_67 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_36 = x_34 + input_68
+        x_34 = input_68 = None
+        split_17 = torch.functional.split(x_36, [192, 576], dim=1)
+        x1_34 = split_17[0]
+        x2_17 = split_17[1]
+        split_17 = None
+        x1_35 = torch.conv2d(
+            x1_34,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_34 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_37 = torch.cat((x1_35, x2_17), 1)
+        x1_35 = x2_17 = None
+        input_69 = torch.conv2d(
+            x_37,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_37 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_70 = torch.nn.functional.batch_norm(
+            input_69,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_69 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_71 = torch.nn.functional.relu(input_70, inplace=True)
+        input_70 = None
+        input_72 = torch.conv2d(
+            input_71,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_71 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_38 = x_36 + input_72
+        x_36 = input_72 = None
+        split_18 = torch.functional.split(x_38, [192, 576], dim=1)
+        x1_36 = split_18[0]
+        x2_18 = split_18[1]
+        split_18 = None
+        x1_37 = torch.conv2d(
+            x1_36,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_36 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_39 = torch.cat((x1_37, x2_18), 1)
+        x1_37 = x2_18 = None
+        input_73 = torch.conv2d(
+            x_39,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_39 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_74 = torch.nn.functional.batch_norm(
+            input_73,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_73 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_75 = torch.nn.functional.relu(input_74, inplace=True)
+        input_74 = None
+        input_76 = torch.conv2d(
+            input_75,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_75 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_40 = x_38 + input_76
+        x_38 = input_76 = None
+        split_19 = torch.functional.split(x_40, [192, 576], dim=1)
+        x1_38 = split_19[0]
+        x2_19 = split_19[1]
+        split_19 = None
+        x1_39 = torch.conv2d(
+            x1_38,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_38 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_41 = torch.cat((x1_39, x2_19), 1)
+        x1_39 = x2_19 = None
+        input_77 = torch.conv2d(
+            x_41,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_78 = torch.nn.functional.batch_norm(
+            input_77,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_77 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_79 = torch.nn.functional.relu(input_78, inplace=True)
+        input_78 = None
+        input_80 = torch.conv2d(
+            input_79,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_79 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_42 = x_40 + input_80
+        x_40 = input_80 = None
+        split_20 = torch.functional.split(x_42, [192, 576], dim=1)
+        x1_40 = split_20[0]
+        x2_20 = split_20[1]
+        split_20 = None
+        x1_41 = torch.conv2d(
+            x1_40,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_40 = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_43 = torch.cat((x1_41, x2_20), 1)
+        x1_41 = x2_20 = None
+        input_81 = torch.conv2d(
+            x_43,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_82 = torch.nn.functional.batch_norm(
+            input_81,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_81 = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_83 = torch.nn.functional.relu(input_82, inplace=True)
+        input_82 = None
+        input_84 = torch.conv2d(
+            input_83,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_83 = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_44 = x_42 + input_84
+        x_42 = input_84 = None
+        split_21 = torch.functional.split(x_44, [192, 576], dim=1)
+        x1_42 = split_21[0]
+        x2_21 = split_21[1]
+        split_21 = None
+        x1_43 = torch.conv2d(
+            x1_42,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_42 = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_45 = torch.cat((x1_43, x2_21), 1)
+        x1_43 = x2_21 = None
+        input_85 = torch.conv2d(
+            x_45,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_45 = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_86 = torch.nn.functional.batch_norm(
+            input_85,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_85 = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_87 = torch.nn.functional.relu(input_86, inplace=True)
+        input_86 = None
+        input_88 = torch.conv2d(
+            input_87,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_87 = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_46 = x_44 + input_88
+        x_44 = input_88 = None
+        split_22 = torch.functional.split(x_46, [192, 576], dim=1)
+        x1_44 = split_22[0]
+        x2_22 = split_22[1]
+        split_22 = None
+        x1_45 = torch.conv2d(
+            x1_44,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_44 = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_47 = torch.cat((x1_45, x2_22), 1)
+        x1_45 = x2_22 = None
+        input_89 = torch.conv2d(
+            x_47,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_47 = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_90 = torch.nn.functional.batch_norm(
+            input_89,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_89 = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_91 = torch.nn.functional.relu(input_90, inplace=True)
+        input_90 = None
+        input_92 = torch.conv2d(
+            input_91,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_91 = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_48 = x_46 + input_92
+        x_46 = input_92 = None
+        split_23 = torch.functional.split(x_48, [192, 576], dim=1)
+        x1_46 = split_23[0]
+        x2_23 = split_23[1]
+        split_23 = None
+        x1_47 = torch.conv2d(
+            x1_46,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_46 = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_49 = torch.cat((x1_47, x2_23), 1)
+        x1_47 = x2_23 = None
+        input_93 = torch.conv2d(
+            x_49,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_94 = torch.nn.functional.batch_norm(
+            input_93,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_93 = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_95 = torch.nn.functional.relu(input_94, inplace=True)
+        input_94 = None
+        input_96 = torch.conv2d(
+            input_95,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_95 = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_50 = x_48 + input_96
+        x_48 = input_96 = None
+        split_24 = torch.functional.split(x_50, [192, 576], dim=1)
+        x1_48 = split_24[0]
+        x2_24 = split_24[1]
+        split_24 = None
+        x1_49 = torch.conv2d(
+            x1_48,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_48 = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_51 = torch.cat((x1_49, x2_24), 1)
+        x1_49 = x2_24 = None
+        input_97 = torch.conv2d(
+            x_51,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_98 = torch.nn.functional.batch_norm(
+            input_97,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_97 = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_99 = torch.nn.functional.relu(input_98, inplace=True)
+        input_98 = None
+        input_100 = torch.conv2d(
+            input_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_99 = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_52 = x_50 + input_100
+        x_50 = input_100 = None
+        conv2d_78 = torch.conv2d(
+            x_52,
+            l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            conv2d_78,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_78 = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_25 = torch.functional.split(x_53, [384, 1152], dim=1)
+        x1_50 = split_25[0]
+        x2_25 = split_25[1]
+        split_25 = None
+        x1_51 = torch.conv2d(
+            x1_50,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_50 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_54 = torch.cat((x1_51, x2_25), 1)
+        x1_51 = x2_25 = None
+        input_101 = torch.conv2d(
+            x_54,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_54 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_102 = torch.nn.functional.batch_norm(
+            input_101,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_101 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_103 = torch.nn.functional.relu(input_102, inplace=True)
+        input_102 = None
+        input_104 = torch.conv2d(
+            input_103,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_103 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_55 = x_53 + input_104
+        x_53 = input_104 = None
+        split_26 = torch.functional.split(x_55, [384, 1152], dim=1)
+        x1_52 = split_26[0]
+        x2_26 = split_26[1]
+        split_26 = None
+        x1_53 = torch.conv2d(
+            x1_52,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_52 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_56 = torch.cat((x1_53, x2_26), 1)
+        x1_53 = x2_26 = None
+        input_105 = torch.conv2d(
+            x_56,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_106 = torch.nn.functional.batch_norm(
+            input_105,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_105 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_107 = torch.nn.functional.relu(input_106, inplace=True)
+        input_106 = None
+        input_108 = torch.conv2d(
+            input_107,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_107 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_57 = x_55 + input_108
+        x_55 = input_108 = None
+        split_27 = torch.functional.split(x_57, [384, 1152], dim=1)
+        x1_54 = split_27[0]
+        x2_27 = split_27[1]
+        split_27 = None
+        x1_55 = torch.conv2d(
+            x1_54,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_54 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_58 = torch.cat((x1_55, x2_27), 1)
+        x1_55 = x2_27 = None
+        input_109 = torch.conv2d(
+            x_58,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_58 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_110 = torch.nn.functional.batch_norm(
+            input_109,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_109 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_111 = torch.nn.functional.relu(input_110, inplace=True)
+        input_110 = None
+        input_112 = torch.conv2d(
+            input_111,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_111 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_59 = x_57 + input_112
+        x_57 = input_112 = None
+        x_60 = torch.nn.functional.adaptive_avg_pool2d(x_59, 1)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_conv_head_parameters_weight_ = None
+        x_62 = torch.nn.functional.relu(x_61, inplace=True)
+        x_61 = None
+        x_63 = x_62.flatten(1, -1)
+        x_62 = None
+        x_64 = torch._C._nn.linear(
+            x_63,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_63 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_64,)
diff --git a/samples/timm/fasternet_l.in1k/weight_meta.py b/samples/timm/fasternet_l.in1k/weight_meta.py
new file mode 100644
index 000000000..d6a88fe95
--- /dev/null
+++ b/samples/timm/fasternet_l.in1k/weight_meta.py
@@ -0,0 +1,2208 @@
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [192, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_var_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [384, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [192, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [384, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [192, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [384, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [192, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [384, 192, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [768, 384, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [1536, 768, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [384, 384, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [3072, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [1536, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [384, 384, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [3072, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [1536, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [384, 384, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [3072, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [1536, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fasternet_m.in1k/graph_hash.txt b/samples/timm/fasternet_m.in1k/graph_hash.txt
new file mode 100644
index 000000000..00a973f0e
--- /dev/null
+++ b/samples/timm/fasternet_m.in1k/graph_hash.txt
@@ -0,0 +1 @@
+66e32f078a5fbde2f9186bcbfdfe2ee421afe96b21df17de694f19b676b7c0dd
\ No newline at end of file
diff --git a/samples/timm/fasternet_m.in1k/graph_net.json b/samples/timm/fasternet_m.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fasternet_m.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fasternet_m.in1k/input_meta.py b/samples/timm/fasternet_m.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_m.in1k/input_tensor_constraints.py b/samples/timm/fasternet_m.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_m.in1k/model.py b/samples/timm/fasternet_m.in1k/model.py
new file mode 100644
index 000000000..00845e923
--- /dev/null
+++ b/samples/timm/fasternet_m.in1k/model.py
@@ -0,0 +1,2007 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_norm_buffers_running_mean_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        )
+        l_self_modules_patch_embed_modules_norm_buffers_running_var_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_var_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        conv2d = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            None,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_patch_embed_modules_proj_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            conv2d,
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_,
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_,
+            l_self_modules_patch_embed_modules_norm_parameters_weight_,
+            l_self_modules_patch_embed_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_norm_parameters_bias_ = None
+        split = torch.functional.split(x, [36, 108], dim=1)
+        x1 = split[0]
+        x2 = split[1]
+        split = None
+        x1_1 = torch.conv2d(
+            x1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_1 = torch.cat((x1_1, x2), 1)
+        x1_1 = x2 = None
+        input_1 = torch.conv2d(
+            x_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_2 = x + input_4
+        x = input_4 = None
+        split_1 = torch.functional.split(x_2, [36, 108], dim=1)
+        x1_2 = split_1[0]
+        x2_1 = split_1[1]
+        split_1 = None
+        x1_3 = torch.conv2d(
+            x1_2,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_2 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_3 = torch.cat((x1_3, x2_1), 1)
+        x1_3 = x2_1 = None
+        input_5 = torch.conv2d(
+            x_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_3 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_6 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_5 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_7 = torch.nn.functional.relu(input_6, inplace=True)
+        input_6 = None
+        input_8 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_7 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_4 = x_2 + input_8
+        x_2 = input_8 = None
+        split_2 = torch.functional.split(x_4, [36, 108], dim=1)
+        x1_4 = split_2[0]
+        x2_2 = split_2[1]
+        split_2 = None
+        x1_5 = torch.conv2d(
+            x1_4,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_4 = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_5 = torch.cat((x1_5, x2_2), 1)
+        x1_5 = x2_2 = None
+        input_9 = torch.conv2d(
+            x_5,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_10 = torch.nn.functional.batch_norm(
+            input_9,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_9 = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_11 = torch.nn.functional.relu(input_10, inplace=True)
+        input_10 = None
+        input_12 = torch.conv2d(
+            input_11,
+            l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_11 = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_6 = x_4 + input_12
+        x_4 = input_12 = None
+        conv2d_10 = torch.conv2d(
+            x_6,
+            l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            conv2d_10,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_10 = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_7, [72, 216], dim=1)
+        x1_6 = split_3[0]
+        x2_3 = split_3[1]
+        split_3 = None
+        x1_7 = torch.conv2d(
+            x1_6,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_6 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_8 = torch.cat((x1_7, x2_3), 1)
+        x1_7 = x2_3 = None
+        input_13 = torch.conv2d(
+            x_8,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_14 = torch.nn.functional.batch_norm(
+            input_13,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_13 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_15 = torch.nn.functional.relu(input_14, inplace=True)
+        input_14 = None
+        input_16 = torch.conv2d(
+            input_15,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_15 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_9 = x_7 + input_16
+        x_7 = input_16 = None
+        split_4 = torch.functional.split(x_9, [72, 216], dim=1)
+        x1_8 = split_4[0]
+        x2_4 = split_4[1]
+        split_4 = None
+        x1_9 = torch.conv2d(
+            x1_8,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_8 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_10 = torch.cat((x1_9, x2_4), 1)
+        x1_9 = x2_4 = None
+        input_17 = torch.conv2d(
+            x_10,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_19 = torch.nn.functional.relu(input_18, inplace=True)
+        input_18 = None
+        input_20 = torch.conv2d(
+            input_19,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_19 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_11 = x_9 + input_20
+        x_9 = input_20 = None
+        split_5 = torch.functional.split(x_11, [72, 216], dim=1)
+        x1_10 = split_5[0]
+        x2_5 = split_5[1]
+        split_5 = None
+        x1_11 = torch.conv2d(
+            x1_10,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_10 = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_12 = torch.cat((x1_11, x2_5), 1)
+        x1_11 = x2_5 = None
+        input_21 = torch.conv2d(
+            x_12,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_12 = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_22 = torch.nn.functional.batch_norm(
+            input_21,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_21 = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_23 = torch.nn.functional.relu(input_22, inplace=True)
+        input_22 = None
+        input_24 = torch.conv2d(
+            input_23,
+            l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_23 = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_13 = x_11 + input_24
+        x_11 = input_24 = None
+        split_6 = torch.functional.split(x_13, [72, 216], dim=1)
+        x1_12 = split_6[0]
+        x2_6 = split_6[1]
+        split_6 = None
+        x1_13 = torch.conv2d(
+            x1_12,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_12 = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_14 = torch.cat((x1_13, x2_6), 1)
+        x1_13 = x2_6 = None
+        input_25 = torch.conv2d(
+            x_14,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_26 = torch.nn.functional.batch_norm(
+            input_25,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_25 = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_27 = torch.nn.functional.relu(input_26, inplace=True)
+        input_26 = None
+        input_28 = torch.conv2d(
+            input_27,
+            l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_27 = l_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_15 = x_13 + input_28
+        x_13 = input_28 = None
+        conv2d_23 = torch.conv2d(
+            x_15,
+            l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_16 = torch.nn.functional.batch_norm(
+            conv2d_23,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_23 = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_16, [144, 432], dim=1)
+        x1_14 = split_7[0]
+        x2_7 = split_7[1]
+        split_7 = None
+        x1_15 = torch.conv2d(
+            x1_14,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_14 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_17 = torch.cat((x1_15, x2_7), 1)
+        x1_15 = x2_7 = None
+        input_29 = torch.conv2d(
+            x_17,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_30 = torch.nn.functional.batch_norm(
+            input_29,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_29 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_31 = torch.nn.functional.relu(input_30, inplace=True)
+        input_30 = None
+        input_32 = torch.conv2d(
+            input_31,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_31 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_18 = x_16 + input_32
+        x_16 = input_32 = None
+        split_8 = torch.functional.split(x_18, [144, 432], dim=1)
+        x1_16 = split_8[0]
+        x2_8 = split_8[1]
+        split_8 = None
+        x1_17 = torch.conv2d(
+            x1_16,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_16 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_19 = torch.cat((x1_17, x2_8), 1)
+        x1_17 = x2_8 = None
+        input_33 = torch.conv2d(
+            x_19,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_34 = torch.nn.functional.batch_norm(
+            input_33,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_33 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_35 = torch.nn.functional.relu(input_34, inplace=True)
+        input_34 = None
+        input_36 = torch.conv2d(
+            input_35,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_35 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_20 = x_18 + input_36
+        x_18 = input_36 = None
+        split_9 = torch.functional.split(x_20, [144, 432], dim=1)
+        x1_18 = split_9[0]
+        x2_9 = split_9[1]
+        split_9 = None
+        x1_19 = torch.conv2d(
+            x1_18,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_18 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_21 = torch.cat((x1_19, x2_9), 1)
+        x1_19 = x2_9 = None
+        input_37 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_38 = torch.nn.functional.batch_norm(
+            input_37,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_37 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_39 = torch.nn.functional.relu(input_38, inplace=True)
+        input_38 = None
+        input_40 = torch.conv2d(
+            input_39,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_39 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_22 = x_20 + input_40
+        x_20 = input_40 = None
+        split_10 = torch.functional.split(x_22, [144, 432], dim=1)
+        x1_20 = split_10[0]
+        x2_10 = split_10[1]
+        split_10 = None
+        x1_21 = torch.conv2d(
+            x1_20,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_20 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_23 = torch.cat((x1_21, x2_10), 1)
+        x1_21 = x2_10 = None
+        input_41 = torch.conv2d(
+            x_23,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_42 = torch.nn.functional.batch_norm(
+            input_41,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_41 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_43 = torch.nn.functional.relu(input_42, inplace=True)
+        input_42 = None
+        input_44 = torch.conv2d(
+            input_43,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_43 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_24 = x_22 + input_44
+        x_22 = input_44 = None
+        split_11 = torch.functional.split(x_24, [144, 432], dim=1)
+        x1_22 = split_11[0]
+        x2_11 = split_11[1]
+        split_11 = None
+        x1_23 = torch.conv2d(
+            x1_22,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_22 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_25 = torch.cat((x1_23, x2_11), 1)
+        x1_23 = x2_11 = None
+        input_45 = torch.conv2d(
+            x_25,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_46 = torch.nn.functional.batch_norm(
+            input_45,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_45 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_47 = torch.nn.functional.relu(input_46, inplace=True)
+        input_46 = None
+        input_48 = torch.conv2d(
+            input_47,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_47 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_26 = x_24 + input_48
+        x_24 = input_48 = None
+        split_12 = torch.functional.split(x_26, [144, 432], dim=1)
+        x1_24 = split_12[0]
+        x2_12 = split_12[1]
+        split_12 = None
+        x1_25 = torch.conv2d(
+            x1_24,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_24 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_27 = torch.cat((x1_25, x2_12), 1)
+        x1_25 = x2_12 = None
+        input_49 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_50 = torch.nn.functional.batch_norm(
+            input_49,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_49 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_51 = torch.nn.functional.relu(input_50, inplace=True)
+        input_50 = None
+        input_52 = torch.conv2d(
+            input_51,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_51 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_28 = x_26 + input_52
+        x_26 = input_52 = None
+        split_13 = torch.functional.split(x_28, [144, 432], dim=1)
+        x1_26 = split_13[0]
+        x2_13 = split_13[1]
+        split_13 = None
+        x1_27 = torch.conv2d(
+            x1_26,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_26 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_29 = torch.cat((x1_27, x2_13), 1)
+        x1_27 = x2_13 = None
+        input_53 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_29 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_54 = torch.nn.functional.batch_norm(
+            input_53,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_53 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_55 = torch.nn.functional.relu(input_54, inplace=True)
+        input_54 = None
+        input_56 = torch.conv2d(
+            input_55,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_55 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_30 = x_28 + input_56
+        x_28 = input_56 = None
+        split_14 = torch.functional.split(x_30, [144, 432], dim=1)
+        x1_28 = split_14[0]
+        x2_14 = split_14[1]
+        split_14 = None
+        x1_29 = torch.conv2d(
+            x1_28,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_28 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_31 = torch.cat((x1_29, x2_14), 1)
+        x1_29 = x2_14 = None
+        input_57 = torch.conv2d(
+            x_31,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_58 = torch.nn.functional.batch_norm(
+            input_57,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_57 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_59 = torch.nn.functional.relu(input_58, inplace=True)
+        input_58 = None
+        input_60 = torch.conv2d(
+            input_59,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_59 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_32 = x_30 + input_60
+        x_30 = input_60 = None
+        split_15 = torch.functional.split(x_32, [144, 432], dim=1)
+        x1_30 = split_15[0]
+        x2_15 = split_15[1]
+        split_15 = None
+        x1_31 = torch.conv2d(
+            x1_30,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_30 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_33 = torch.cat((x1_31, x2_15), 1)
+        x1_31 = x2_15 = None
+        input_61 = torch.conv2d(
+            x_33,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_33 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_62 = torch.nn.functional.batch_norm(
+            input_61,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_61 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_63 = torch.nn.functional.relu(input_62, inplace=True)
+        input_62 = None
+        input_64 = torch.conv2d(
+            input_63,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_63 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_34 = x_32 + input_64
+        x_32 = input_64 = None
+        split_16 = torch.functional.split(x_34, [144, 432], dim=1)
+        x1_32 = split_16[0]
+        x2_16 = split_16[1]
+        split_16 = None
+        x1_33 = torch.conv2d(
+            x1_32,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_32 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_35 = torch.cat((x1_33, x2_16), 1)
+        x1_33 = x2_16 = None
+        input_65 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_35 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_66 = torch.nn.functional.batch_norm(
+            input_65,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_65 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_67 = torch.nn.functional.relu(input_66, inplace=True)
+        input_66 = None
+        input_68 = torch.conv2d(
+            input_67,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_67 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_36 = x_34 + input_68
+        x_34 = input_68 = None
+        split_17 = torch.functional.split(x_36, [144, 432], dim=1)
+        x1_34 = split_17[0]
+        x2_17 = split_17[1]
+        split_17 = None
+        x1_35 = torch.conv2d(
+            x1_34,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_34 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_37 = torch.cat((x1_35, x2_17), 1)
+        x1_35 = x2_17 = None
+        input_69 = torch.conv2d(
+            x_37,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_37 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_70 = torch.nn.functional.batch_norm(
+            input_69,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_69 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_71 = torch.nn.functional.relu(input_70, inplace=True)
+        input_70 = None
+        input_72 = torch.conv2d(
+            input_71,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_71 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_38 = x_36 + input_72
+        x_36 = input_72 = None
+        split_18 = torch.functional.split(x_38, [144, 432], dim=1)
+        x1_36 = split_18[0]
+        x2_18 = split_18[1]
+        split_18 = None
+        x1_37 = torch.conv2d(
+            x1_36,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_36 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_39 = torch.cat((x1_37, x2_18), 1)
+        x1_37 = x2_18 = None
+        input_73 = torch.conv2d(
+            x_39,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_39 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_74 = torch.nn.functional.batch_norm(
+            input_73,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_73 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_75 = torch.nn.functional.relu(input_74, inplace=True)
+        input_74 = None
+        input_76 = torch.conv2d(
+            input_75,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_75 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_40 = x_38 + input_76
+        x_38 = input_76 = None
+        split_19 = torch.functional.split(x_40, [144, 432], dim=1)
+        x1_38 = split_19[0]
+        x2_19 = split_19[1]
+        split_19 = None
+        x1_39 = torch.conv2d(
+            x1_38,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_38 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_41 = torch.cat((x1_39, x2_19), 1)
+        x1_39 = x2_19 = None
+        input_77 = torch.conv2d(
+            x_41,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_78 = torch.nn.functional.batch_norm(
+            input_77,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_77 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_79 = torch.nn.functional.relu(input_78, inplace=True)
+        input_78 = None
+        input_80 = torch.conv2d(
+            input_79,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_79 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_42 = x_40 + input_80
+        x_40 = input_80 = None
+        split_20 = torch.functional.split(x_42, [144, 432], dim=1)
+        x1_40 = split_20[0]
+        x2_20 = split_20[1]
+        split_20 = None
+        x1_41 = torch.conv2d(
+            x1_40,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_40 = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_43 = torch.cat((x1_41, x2_20), 1)
+        x1_41 = x2_20 = None
+        input_81 = torch.conv2d(
+            x_43,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_82 = torch.nn.functional.batch_norm(
+            input_81,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_81 = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_83 = torch.nn.functional.relu(input_82, inplace=True)
+        input_82 = None
+        input_84 = torch.conv2d(
+            input_83,
+            l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_83 = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_44 = x_42 + input_84
+        x_42 = input_84 = None
+        split_21 = torch.functional.split(x_44, [144, 432], dim=1)
+        x1_42 = split_21[0]
+        x2_21 = split_21[1]
+        split_21 = None
+        x1_43 = torch.conv2d(
+            x1_42,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_42 = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_45 = torch.cat((x1_43, x2_21), 1)
+        x1_43 = x2_21 = None
+        input_85 = torch.conv2d(
+            x_45,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_45 = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_86 = torch.nn.functional.batch_norm(
+            input_85,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_85 = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_87 = torch.nn.functional.relu(input_86, inplace=True)
+        input_86 = None
+        input_88 = torch.conv2d(
+            input_87,
+            l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_87 = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_46 = x_44 + input_88
+        x_44 = input_88 = None
+        split_22 = torch.functional.split(x_46, [144, 432], dim=1)
+        x1_44 = split_22[0]
+        x2_22 = split_22[1]
+        split_22 = None
+        x1_45 = torch.conv2d(
+            x1_44,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_44 = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_47 = torch.cat((x1_45, x2_22), 1)
+        x1_45 = x2_22 = None
+        input_89 = torch.conv2d(
+            x_47,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_47 = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_90 = torch.nn.functional.batch_norm(
+            input_89,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_89 = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_91 = torch.nn.functional.relu(input_90, inplace=True)
+        input_90 = None
+        input_92 = torch.conv2d(
+            input_91,
+            l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_91 = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_48 = x_46 + input_92
+        x_46 = input_92 = None
+        split_23 = torch.functional.split(x_48, [144, 432], dim=1)
+        x1_46 = split_23[0]
+        x2_23 = split_23[1]
+        split_23 = None
+        x1_47 = torch.conv2d(
+            x1_46,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_46 = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_49 = torch.cat((x1_47, x2_23), 1)
+        x1_47 = x2_23 = None
+        input_93 = torch.conv2d(
+            x_49,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_94 = torch.nn.functional.batch_norm(
+            input_93,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_93 = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_95 = torch.nn.functional.relu(input_94, inplace=True)
+        input_94 = None
+        input_96 = torch.conv2d(
+            input_95,
+            l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_95 = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_50 = x_48 + input_96
+        x_48 = input_96 = None
+        split_24 = torch.functional.split(x_50, [144, 432], dim=1)
+        x1_48 = split_24[0]
+        x2_24 = split_24[1]
+        split_24 = None
+        x1_49 = torch.conv2d(
+            x1_48,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_48 = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_51 = torch.cat((x1_49, x2_24), 1)
+        x1_49 = x2_24 = None
+        input_97 = torch.conv2d(
+            x_51,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_98 = torch.nn.functional.batch_norm(
+            input_97,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_97 = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_99 = torch.nn.functional.relu(input_98, inplace=True)
+        input_98 = None
+        input_100 = torch.conv2d(
+            input_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_99 = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_52 = x_50 + input_100
+        x_50 = input_100 = None
+        conv2d_78 = torch.conv2d(
+            x_52,
+            l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            conv2d_78,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_78 = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_25 = torch.functional.split(x_53, [288, 864], dim=1)
+        x1_50 = split_25[0]
+        x2_25 = split_25[1]
+        split_25 = None
+        x1_51 = torch.conv2d(
+            x1_50,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_50 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_54 = torch.cat((x1_51, x2_25), 1)
+        x1_51 = x2_25 = None
+        input_101 = torch.conv2d(
+            x_54,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_54 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_102 = torch.nn.functional.batch_norm(
+            input_101,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_101 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_103 = torch.nn.functional.relu(input_102, inplace=True)
+        input_102 = None
+        input_104 = torch.conv2d(
+            input_103,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_103 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_55 = x_53 + input_104
+        x_53 = input_104 = None
+        split_26 = torch.functional.split(x_55, [288, 864], dim=1)
+        x1_52 = split_26[0]
+        x2_26 = split_26[1]
+        split_26 = None
+        x1_53 = torch.conv2d(
+            x1_52,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_52 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_56 = torch.cat((x1_53, x2_26), 1)
+        x1_53 = x2_26 = None
+        input_105 = torch.conv2d(
+            x_56,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_106 = torch.nn.functional.batch_norm(
+            input_105,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_105 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_107 = torch.nn.functional.relu(input_106, inplace=True)
+        input_106 = None
+        input_108 = torch.conv2d(
+            input_107,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_107 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_57 = x_55 + input_108
+        x_55 = input_108 = None
+        split_27 = torch.functional.split(x_57, [288, 864], dim=1)
+        x1_54 = split_27[0]
+        x2_27 = split_27[1]
+        split_27 = None
+        x1_55 = torch.conv2d(
+            x1_54,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_54 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_58 = torch.cat((x1_55, x2_27), 1)
+        x1_55 = x2_27 = None
+        input_109 = torch.conv2d(
+            x_58,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_58 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_110 = torch.nn.functional.batch_norm(
+            input_109,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_109 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_111 = torch.nn.functional.relu(input_110, inplace=True)
+        input_110 = None
+        input_112 = torch.conv2d(
+            input_111,
+            l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_111 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_59 = x_57 + input_112
+        x_57 = input_112 = None
+        x_60 = torch.nn.functional.adaptive_avg_pool2d(x_59, 1)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_conv_head_parameters_weight_ = None
+        x_62 = torch.nn.functional.relu(x_61, inplace=True)
+        x_61 = None
+        x_63 = x_62.flatten(1, -1)
+        x_62 = None
+        x_64 = torch._C._nn.linear(
+            x_63,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_63 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_64,)
diff --git a/samples/timm/fasternet_m.in1k/weight_meta.py b/samples/timm/fasternet_m.in1k/weight_meta.py
new file mode 100644
index 000000000..d9595154f
--- /dev/null
+++ b/samples/timm/fasternet_m.in1k/weight_meta.py
@@ -0,0 +1,2208 @@
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [144, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.225
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_var_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [36, 36, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [288, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [144, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [36, 36, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [288, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [144, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [36, 36, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [288, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [144, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [288, 144, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [72, 72, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [576, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [288, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [72, 72, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [576, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [288, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [72, 72, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [576, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [288, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [72, 72, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_"
+    shape = [576, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_"
+    shape = [288, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [576, 288, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [144, 144, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_0_parameters_weight_"
+    shape = [1152, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_3_parameters_weight_"
+    shape = [576, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [1152, 576, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [2304, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [1152, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [2304, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [1152, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [2304, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [1152, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fasternet_s.in1k/graph_hash.txt b/samples/timm/fasternet_s.in1k/graph_hash.txt
new file mode 100644
index 000000000..d92fa814a
--- /dev/null
+++ b/samples/timm/fasternet_s.in1k/graph_hash.txt
@@ -0,0 +1 @@
+df40d90ced920fdbb23291b96846007a4528c0b275dcaa951db89727b6087ee7
\ No newline at end of file
diff --git a/samples/timm/fasternet_s.in1k/graph_net.json b/samples/timm/fasternet_s.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fasternet_s.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fasternet_s.in1k/input_meta.py b/samples/timm/fasternet_s.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_s.in1k/input_tensor_constraints.py b/samples/timm/fasternet_s.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_s.in1k/model.py b/samples/timm/fasternet_s.in1k/model.py
new file mode 100644
index 000000000..388299d21
--- /dev/null
+++ b/samples/timm/fasternet_s.in1k/model.py
@@ -0,0 +1,1357 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_norm_buffers_running_mean_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        )
+        l_self_modules_patch_embed_modules_norm_buffers_running_var_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_var_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        conv2d = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            None,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_patch_embed_modules_proj_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            conv2d,
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_,
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_,
+            l_self_modules_patch_embed_modules_norm_parameters_weight_,
+            l_self_modules_patch_embed_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_norm_parameters_bias_ = None
+        split = torch.functional.split(x, [32, 96], dim=1)
+        x1 = split[0]
+        x2 = split[1]
+        split = None
+        x1_1 = torch.conv2d(
+            x1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_1 = torch.cat((x1_1, x2), 1)
+        x1_1 = x2 = None
+        input_1 = torch.conv2d(
+            x_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_2 = x + input_4
+        x = input_4 = None
+        conv2d_4 = torch.conv2d(
+            x_2,
+            l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_3 = torch.nn.functional.batch_norm(
+            conv2d_4,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_4 = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_3, [64, 192], dim=1)
+        x1_2 = split_1[0]
+        x2_1 = split_1[1]
+        split_1 = None
+        x1_3 = torch.conv2d(
+            x1_2,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_4 = torch.cat((x1_3, x2_1), 1)
+        x1_3 = x2_1 = None
+        input_5 = torch.conv2d(
+            x_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_4 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_6 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_5 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_7 = torch.nn.functional.relu(input_6, inplace=True)
+        input_6 = None
+        input_8 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_7 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_5 = x_3 + input_8
+        x_3 = input_8 = None
+        split_2 = torch.functional.split(x_5, [64, 192], dim=1)
+        x1_4 = split_2[0]
+        x2_2 = split_2[1]
+        split_2 = None
+        x1_5 = torch.conv2d(
+            x1_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_4 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_6 = torch.cat((x1_5, x2_2), 1)
+        x1_5 = x2_2 = None
+        input_9 = torch.conv2d(
+            x_6,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_10 = torch.nn.functional.batch_norm(
+            input_9,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_9 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_11 = torch.nn.functional.relu(input_10, inplace=True)
+        input_10 = None
+        input_12 = torch.conv2d(
+            input_11,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_11 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_7 = x_5 + input_12
+        x_5 = input_12 = None
+        conv2d_11 = torch.conv2d(
+            x_7,
+            l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_8 = torch.nn.functional.batch_norm(
+            conv2d_11,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_11 = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_8, [128, 384], dim=1)
+        x1_6 = split_3[0]
+        x2_3 = split_3[1]
+        split_3 = None
+        x1_7 = torch.conv2d(
+            x1_6,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_6 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_9 = torch.cat((x1_7, x2_3), 1)
+        x1_7 = x2_3 = None
+        input_13 = torch.conv2d(
+            x_9,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_9 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_14 = torch.nn.functional.batch_norm(
+            input_13,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_13 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_15 = torch.nn.functional.relu(input_14, inplace=True)
+        input_14 = None
+        input_16 = torch.conv2d(
+            input_15,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_15 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_10 = x_8 + input_16
+        x_8 = input_16 = None
+        split_4 = torch.functional.split(x_10, [128, 384], dim=1)
+        x1_8 = split_4[0]
+        x2_4 = split_4[1]
+        split_4 = None
+        x1_9 = torch.conv2d(
+            x1_8,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_8 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_11 = torch.cat((x1_9, x2_4), 1)
+        x1_9 = x2_4 = None
+        input_17 = torch.conv2d(
+            x_11,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_19 = torch.nn.functional.relu(input_18, inplace=True)
+        input_18 = None
+        input_20 = torch.conv2d(
+            input_19,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_19 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_12 = x_10 + input_20
+        x_10 = input_20 = None
+        split_5 = torch.functional.split(x_12, [128, 384], dim=1)
+        x1_10 = split_5[0]
+        x2_5 = split_5[1]
+        split_5 = None
+        x1_11 = torch.conv2d(
+            x1_10,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_10 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_13 = torch.cat((x1_11, x2_5), 1)
+        x1_11 = x2_5 = None
+        input_21 = torch.conv2d(
+            x_13,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_22 = torch.nn.functional.batch_norm(
+            input_21,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_21 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_23 = torch.nn.functional.relu(input_22, inplace=True)
+        input_22 = None
+        input_24 = torch.conv2d(
+            input_23,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_23 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_14 = x_12 + input_24
+        x_12 = input_24 = None
+        split_6 = torch.functional.split(x_14, [128, 384], dim=1)
+        x1_12 = split_6[0]
+        x2_6 = split_6[1]
+        split_6 = None
+        x1_13 = torch.conv2d(
+            x1_12,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_12 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_15 = torch.cat((x1_13, x2_6), 1)
+        x1_13 = x2_6 = None
+        input_25 = torch.conv2d(
+            x_15,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_26 = torch.nn.functional.batch_norm(
+            input_25,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_25 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_27 = torch.nn.functional.relu(input_26, inplace=True)
+        input_26 = None
+        input_28 = torch.conv2d(
+            input_27,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_27 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_16 = x_14 + input_28
+        x_14 = input_28 = None
+        split_7 = torch.functional.split(x_16, [128, 384], dim=1)
+        x1_14 = split_7[0]
+        x2_7 = split_7[1]
+        split_7 = None
+        x1_15 = torch.conv2d(
+            x1_14,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_14 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_17 = torch.cat((x1_15, x2_7), 1)
+        x1_15 = x2_7 = None
+        input_29 = torch.conv2d(
+            x_17,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_30 = torch.nn.functional.batch_norm(
+            input_29,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_29 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_31 = torch.nn.functional.relu(input_30, inplace=True)
+        input_30 = None
+        input_32 = torch.conv2d(
+            input_31,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_31 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_18 = x_16 + input_32
+        x_16 = input_32 = None
+        split_8 = torch.functional.split(x_18, [128, 384], dim=1)
+        x1_16 = split_8[0]
+        x2_8 = split_8[1]
+        split_8 = None
+        x1_17 = torch.conv2d(
+            x1_16,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_16 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_19 = torch.cat((x1_17, x2_8), 1)
+        x1_17 = x2_8 = None
+        input_33 = torch.conv2d(
+            x_19,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_34 = torch.nn.functional.batch_norm(
+            input_33,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_33 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_35 = torch.nn.functional.relu(input_34, inplace=True)
+        input_34 = None
+        input_36 = torch.conv2d(
+            input_35,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_35 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_20 = x_18 + input_36
+        x_18 = input_36 = None
+        split_9 = torch.functional.split(x_20, [128, 384], dim=1)
+        x1_18 = split_9[0]
+        x2_9 = split_9[1]
+        split_9 = None
+        x1_19 = torch.conv2d(
+            x1_18,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_18 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_21 = torch.cat((x1_19, x2_9), 1)
+        x1_19 = x2_9 = None
+        input_37 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_38 = torch.nn.functional.batch_norm(
+            input_37,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_37 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_39 = torch.nn.functional.relu(input_38, inplace=True)
+        input_38 = None
+        input_40 = torch.conv2d(
+            input_39,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_39 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_22 = x_20 + input_40
+        x_20 = input_40 = None
+        split_10 = torch.functional.split(x_22, [128, 384], dim=1)
+        x1_20 = split_10[0]
+        x2_10 = split_10[1]
+        split_10 = None
+        x1_21 = torch.conv2d(
+            x1_20,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_20 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_23 = torch.cat((x1_21, x2_10), 1)
+        x1_21 = x2_10 = None
+        input_41 = torch.conv2d(
+            x_23,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_42 = torch.nn.functional.batch_norm(
+            input_41,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_41 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_43 = torch.nn.functional.relu(input_42, inplace=True)
+        input_42 = None
+        input_44 = torch.conv2d(
+            input_43,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_43 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_24 = x_22 + input_44
+        x_22 = input_44 = None
+        split_11 = torch.functional.split(x_24, [128, 384], dim=1)
+        x1_22 = split_11[0]
+        x2_11 = split_11[1]
+        split_11 = None
+        x1_23 = torch.conv2d(
+            x1_22,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_22 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_25 = torch.cat((x1_23, x2_11), 1)
+        x1_23 = x2_11 = None
+        input_45 = torch.conv2d(
+            x_25,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_46 = torch.nn.functional.batch_norm(
+            input_45,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_45 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_47 = torch.nn.functional.relu(input_46, inplace=True)
+        input_46 = None
+        input_48 = torch.conv2d(
+            input_47,
+            l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_47 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_26 = x_24 + input_48
+        x_24 = input_48 = None
+        split_12 = torch.functional.split(x_26, [128, 384], dim=1)
+        x1_24 = split_12[0]
+        x2_12 = split_12[1]
+        split_12 = None
+        x1_25 = torch.conv2d(
+            x1_24,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_24 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_27 = torch.cat((x1_25, x2_12), 1)
+        x1_25 = x2_12 = None
+        input_49 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_50 = torch.nn.functional.batch_norm(
+            input_49,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_49 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_51 = torch.nn.functional.relu(input_50, inplace=True)
+        input_50 = None
+        input_52 = torch.conv2d(
+            input_51,
+            l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_51 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_28 = x_26 + input_52
+        x_26 = input_52 = None
+        split_13 = torch.functional.split(x_28, [128, 384], dim=1)
+        x1_26 = split_13[0]
+        x2_13 = split_13[1]
+        split_13 = None
+        x1_27 = torch.conv2d(
+            x1_26,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_26 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_29 = torch.cat((x1_27, x2_13), 1)
+        x1_27 = x2_13 = None
+        input_53 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_29 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_54 = torch.nn.functional.batch_norm(
+            input_53,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_53 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_55 = torch.nn.functional.relu(input_54, inplace=True)
+        input_54 = None
+        input_56 = torch.conv2d(
+            input_55,
+            l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_55 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_30 = x_28 + input_56
+        x_28 = input_56 = None
+        split_14 = torch.functional.split(x_30, [128, 384], dim=1)
+        x1_28 = split_14[0]
+        x2_14 = split_14[1]
+        split_14 = None
+        x1_29 = torch.conv2d(
+            x1_28,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_28 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_31 = torch.cat((x1_29, x2_14), 1)
+        x1_29 = x2_14 = None
+        input_57 = torch.conv2d(
+            x_31,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_58 = torch.nn.functional.batch_norm(
+            input_57,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_57 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_59 = torch.nn.functional.relu(input_58, inplace=True)
+        input_58 = None
+        input_60 = torch.conv2d(
+            input_59,
+            l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_59 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_32 = x_30 + input_60
+        x_30 = input_60 = None
+        split_15 = torch.functional.split(x_32, [128, 384], dim=1)
+        x1_30 = split_15[0]
+        x2_15 = split_15[1]
+        split_15 = None
+        x1_31 = torch.conv2d(
+            x1_30,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_30 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_33 = torch.cat((x1_31, x2_15), 1)
+        x1_31 = x2_15 = None
+        input_61 = torch.conv2d(
+            x_33,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_33 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_62 = torch.nn.functional.batch_norm(
+            input_61,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_61 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_63 = torch.nn.functional.relu(input_62, inplace=True)
+        input_62 = None
+        input_64 = torch.conv2d(
+            input_63,
+            l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_63 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_34 = x_32 + input_64
+        x_32 = input_64 = None
+        conv2d_51 = torch.conv2d(
+            x_34,
+            l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_34 = l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            conv2d_51,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_51 = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_16 = torch.functional.split(x_35, [256, 768], dim=1)
+        x1_32 = split_16[0]
+        x2_16 = split_16[1]
+        split_16 = None
+        x1_33 = torch.conv2d(
+            x1_32,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_32 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_36 = torch.cat((x1_33, x2_16), 1)
+        x1_33 = x2_16 = None
+        input_65 = torch.conv2d(
+            x_36,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_36 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_66 = torch.nn.functional.batch_norm(
+            input_65,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_65 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_67 = torch.nn.functional.relu(input_66, inplace=True)
+        input_66 = None
+        input_68 = torch.conv2d(
+            input_67,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_67 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_37 = x_35 + input_68
+        x_35 = input_68 = None
+        split_17 = torch.functional.split(x_37, [256, 768], dim=1)
+        x1_34 = split_17[0]
+        x2_17 = split_17[1]
+        split_17 = None
+        x1_35 = torch.conv2d(
+            x1_34,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_34 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_38 = torch.cat((x1_35, x2_17), 1)
+        x1_35 = x2_17 = None
+        input_69 = torch.conv2d(
+            x_38,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_70 = torch.nn.functional.batch_norm(
+            input_69,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_69 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_71 = torch.nn.functional.relu(input_70, inplace=True)
+        input_70 = None
+        input_72 = torch.conv2d(
+            input_71,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_71 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_39 = x_37 + input_72
+        x_37 = input_72 = None
+        x_40 = torch.nn.functional.adaptive_avg_pool2d(x_39, 1)
+        x_39 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_40 = l_self_modules_conv_head_parameters_weight_ = None
+        x_42 = torch.nn.functional.relu(x_41, inplace=True)
+        x_41 = None
+        x_43 = x_42.flatten(1, -1)
+        x_42 = None
+        x_44 = torch._C._nn.linear(
+            x_43,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_43 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_44,)
diff --git a/samples/timm/fasternet_s.in1k/weight_meta.py b/samples/timm/fasternet_s.in1k/weight_meta.py
new file mode 100644
index 000000000..bfd02afef
--- /dev/null
+++ b/samples/timm/fasternet_s.in1k/weight_meta.py
@@ -0,0 +1,1508 @@
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [128, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.223
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_var_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [256, 128, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [512, 256, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [1024, 512, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [1024, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [1024, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fasternet_t0.in1k/graph_hash.txt b/samples/timm/fasternet_t0.in1k/graph_hash.txt
new file mode 100644
index 000000000..7a65fc9e9
--- /dev/null
+++ b/samples/timm/fasternet_t0.in1k/graph_hash.txt
@@ -0,0 +1 @@
+2172214317b8f6e0b9f2a5de5e1982881a7f613b8201af0a0481fe9d303b7c6c
\ No newline at end of file
diff --git a/samples/timm/fasternet_t0.in1k/graph_net.json b/samples/timm/fasternet_t0.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fasternet_t0.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fasternet_t0.in1k/input_meta.py b/samples/timm/fasternet_t0.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_t0.in1k/input_tensor_constraints.py b/samples/timm/fasternet_t0.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_t0.in1k/model.py b/samples/timm/fasternet_t0.in1k/model.py
new file mode 100644
index 000000000..6eb4f11c1
--- /dev/null
+++ b/samples/timm/fasternet_t0.in1k/model.py
@@ -0,0 +1,1032 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_norm_buffers_running_mean_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        )
+        l_self_modules_patch_embed_modules_norm_buffers_running_var_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_var_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        conv2d = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            None,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_patch_embed_modules_proj_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            conv2d,
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_,
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_,
+            l_self_modules_patch_embed_modules_norm_parameters_weight_,
+            l_self_modules_patch_embed_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_norm_parameters_bias_ = None
+        split = torch.functional.split(x, [10, 30], dim=1)
+        x1 = split[0]
+        x2 = split[1]
+        split = None
+        x1_1 = torch.conv2d(
+            x1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_1 = torch.cat((x1_1, x2), 1)
+        x1_1 = x2 = None
+        input_1 = torch.conv2d(
+            x_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_3 = torch._C._nn.gelu(input_2, approximate="none")
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_2 = x + input_4
+        x = input_4 = None
+        conv2d_4 = torch.conv2d(
+            x_2,
+            l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_3 = torch.nn.functional.batch_norm(
+            conv2d_4,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_4 = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_3, [20, 60], dim=1)
+        x1_2 = split_1[0]
+        x2_1 = split_1[1]
+        split_1 = None
+        x1_3 = torch.conv2d(
+            x1_2,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_4 = torch.cat((x1_3, x2_1), 1)
+        x1_3 = x2_1 = None
+        input_5 = torch.conv2d(
+            x_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_4 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_6 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_5 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_7 = torch._C._nn.gelu(input_6, approximate="none")
+        input_6 = None
+        input_8 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_7 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_5 = x_3 + input_8
+        x_3 = input_8 = None
+        split_2 = torch.functional.split(x_5, [20, 60], dim=1)
+        x1_4 = split_2[0]
+        x2_2 = split_2[1]
+        split_2 = None
+        x1_5 = torch.conv2d(
+            x1_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_4 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_6 = torch.cat((x1_5, x2_2), 1)
+        x1_5 = x2_2 = None
+        input_9 = torch.conv2d(
+            x_6,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_10 = torch.nn.functional.batch_norm(
+            input_9,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_9 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_11 = torch._C._nn.gelu(input_10, approximate="none")
+        input_10 = None
+        input_12 = torch.conv2d(
+            input_11,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_11 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_7 = x_5 + input_12
+        x_5 = input_12 = None
+        conv2d_11 = torch.conv2d(
+            x_7,
+            l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_8 = torch.nn.functional.batch_norm(
+            conv2d_11,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_11 = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_8, [40, 120], dim=1)
+        x1_6 = split_3[0]
+        x2_3 = split_3[1]
+        split_3 = None
+        x1_7 = torch.conv2d(
+            x1_6,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_6 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_9 = torch.cat((x1_7, x2_3), 1)
+        x1_7 = x2_3 = None
+        input_13 = torch.conv2d(
+            x_9,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_9 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_14 = torch.nn.functional.batch_norm(
+            input_13,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_13 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_15 = torch._C._nn.gelu(input_14, approximate="none")
+        input_14 = None
+        input_16 = torch.conv2d(
+            input_15,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_15 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_10 = x_8 + input_16
+        x_8 = input_16 = None
+        split_4 = torch.functional.split(x_10, [40, 120], dim=1)
+        x1_8 = split_4[0]
+        x2_4 = split_4[1]
+        split_4 = None
+        x1_9 = torch.conv2d(
+            x1_8,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_8 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_11 = torch.cat((x1_9, x2_4), 1)
+        x1_9 = x2_4 = None
+        input_17 = torch.conv2d(
+            x_11,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_19 = torch._C._nn.gelu(input_18, approximate="none")
+        input_18 = None
+        input_20 = torch.conv2d(
+            input_19,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_19 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_12 = x_10 + input_20
+        x_10 = input_20 = None
+        split_5 = torch.functional.split(x_12, [40, 120], dim=1)
+        x1_10 = split_5[0]
+        x2_5 = split_5[1]
+        split_5 = None
+        x1_11 = torch.conv2d(
+            x1_10,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_10 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_13 = torch.cat((x1_11, x2_5), 1)
+        x1_11 = x2_5 = None
+        input_21 = torch.conv2d(
+            x_13,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_22 = torch.nn.functional.batch_norm(
+            input_21,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_21 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_23 = torch._C._nn.gelu(input_22, approximate="none")
+        input_22 = None
+        input_24 = torch.conv2d(
+            input_23,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_23 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_14 = x_12 + input_24
+        x_12 = input_24 = None
+        split_6 = torch.functional.split(x_14, [40, 120], dim=1)
+        x1_12 = split_6[0]
+        x2_6 = split_6[1]
+        split_6 = None
+        x1_13 = torch.conv2d(
+            x1_12,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_12 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_15 = torch.cat((x1_13, x2_6), 1)
+        x1_13 = x2_6 = None
+        input_25 = torch.conv2d(
+            x_15,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_26 = torch.nn.functional.batch_norm(
+            input_25,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_25 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_27 = torch._C._nn.gelu(input_26, approximate="none")
+        input_26 = None
+        input_28 = torch.conv2d(
+            input_27,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_27 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_16 = x_14 + input_28
+        x_14 = input_28 = None
+        split_7 = torch.functional.split(x_16, [40, 120], dim=1)
+        x1_14 = split_7[0]
+        x2_7 = split_7[1]
+        split_7 = None
+        x1_15 = torch.conv2d(
+            x1_14,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_14 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_17 = torch.cat((x1_15, x2_7), 1)
+        x1_15 = x2_7 = None
+        input_29 = torch.conv2d(
+            x_17,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_30 = torch.nn.functional.batch_norm(
+            input_29,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_29 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_31 = torch._C._nn.gelu(input_30, approximate="none")
+        input_30 = None
+        input_32 = torch.conv2d(
+            input_31,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_31 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_18 = x_16 + input_32
+        x_16 = input_32 = None
+        split_8 = torch.functional.split(x_18, [40, 120], dim=1)
+        x1_16 = split_8[0]
+        x2_8 = split_8[1]
+        split_8 = None
+        x1_17 = torch.conv2d(
+            x1_16,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_16 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_19 = torch.cat((x1_17, x2_8), 1)
+        x1_17 = x2_8 = None
+        input_33 = torch.conv2d(
+            x_19,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_34 = torch.nn.functional.batch_norm(
+            input_33,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_33 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_35 = torch._C._nn.gelu(input_34, approximate="none")
+        input_34 = None
+        input_36 = torch.conv2d(
+            input_35,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_35 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_20 = x_18 + input_36
+        x_18 = input_36 = None
+        split_9 = torch.functional.split(x_20, [40, 120], dim=1)
+        x1_18 = split_9[0]
+        x2_9 = split_9[1]
+        split_9 = None
+        x1_19 = torch.conv2d(
+            x1_18,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_18 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_21 = torch.cat((x1_19, x2_9), 1)
+        x1_19 = x2_9 = None
+        input_37 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_38 = torch.nn.functional.batch_norm(
+            input_37,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_37 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_39 = torch._C._nn.gelu(input_38, approximate="none")
+        input_38 = None
+        input_40 = torch.conv2d(
+            input_39,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_39 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_22 = x_20 + input_40
+        x_20 = input_40 = None
+        split_10 = torch.functional.split(x_22, [40, 120], dim=1)
+        x1_20 = split_10[0]
+        x2_10 = split_10[1]
+        split_10 = None
+        x1_21 = torch.conv2d(
+            x1_20,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_20 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_23 = torch.cat((x1_21, x2_10), 1)
+        x1_21 = x2_10 = None
+        input_41 = torch.conv2d(
+            x_23,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_42 = torch.nn.functional.batch_norm(
+            input_41,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_41 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_43 = torch._C._nn.gelu(input_42, approximate="none")
+        input_42 = None
+        input_44 = torch.conv2d(
+            input_43,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_43 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_24 = x_22 + input_44
+        x_22 = input_44 = None
+        conv2d_36 = torch.conv2d(
+            x_24,
+            l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            conv2d_36,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_36 = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_25, [80, 240], dim=1)
+        x1_22 = split_11[0]
+        x2_11 = split_11[1]
+        split_11 = None
+        x1_23 = torch.conv2d(
+            x1_22,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_22 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_26 = torch.cat((x1_23, x2_11), 1)
+        x1_23 = x2_11 = None
+        input_45 = torch.conv2d(
+            x_26,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_46 = torch.nn.functional.batch_norm(
+            input_45,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_45 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_47 = torch._C._nn.gelu(input_46, approximate="none")
+        input_46 = None
+        input_48 = torch.conv2d(
+            input_47,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_47 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_27 = x_25 + input_48
+        x_25 = input_48 = None
+        split_12 = torch.functional.split(x_27, [80, 240], dim=1)
+        x1_24 = split_12[0]
+        x2_12 = split_12[1]
+        split_12 = None
+        x1_25 = torch.conv2d(
+            x1_24,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_24 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_28 = torch.cat((x1_25, x2_12), 1)
+        x1_25 = x2_12 = None
+        input_49 = torch.conv2d(
+            x_28,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_50 = torch.nn.functional.batch_norm(
+            input_49,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_49 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_51 = torch._C._nn.gelu(input_50, approximate="none")
+        input_50 = None
+        input_52 = torch.conv2d(
+            input_51,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_51 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_29 = x_27 + input_52
+        x_27 = input_52 = None
+        x_30 = torch.nn.functional.adaptive_avg_pool2d(x_29, 1)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_conv_head_parameters_weight_ = None
+        x_32 = torch._C._nn.gelu(x_31, approximate="none")
+        x_31 = None
+        x_33 = x_32.flatten(1, -1)
+        x_32 = None
+        x_34 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_33 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_34,)
diff --git a/samples/timm/fasternet_t0.in1k/weight_meta.py b/samples/timm/fasternet_t0.in1k/weight_meta.py
new file mode 100644
index 000000000..9e110bde5
--- /dev/null
+++ b/samples/timm/fasternet_t0.in1k/weight_meta.py
@@ -0,0 +1,1158 @@
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [40, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.224
+    std = 1.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_var_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [10, 10, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [80, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [40, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [80, 40, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [20, 20, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [160, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [80, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [20, 20, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [160, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [80, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [160, 80, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [40, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [320, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [160, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [40, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [320, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [160, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [40, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [320, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [160, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [40, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_"
+    shape = [320, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_"
+    shape = [160, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [40, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_"
+    shape = [320, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_"
+    shape = [160, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [40, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_"
+    shape = [320, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_"
+    shape = [160, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [40, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_"
+    shape = [320, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_"
+    shape = [160, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [40, 40, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_"
+    shape = [320, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_"
+    shape = [160, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [320, 160, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [80, 80, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [640, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [320, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [80, 80, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [640, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [320, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fasternet_t1.in1k/graph_hash.txt b/samples/timm/fasternet_t1.in1k/graph_hash.txt
new file mode 100644
index 000000000..f393e1d7e
--- /dev/null
+++ b/samples/timm/fasternet_t1.in1k/graph_hash.txt
@@ -0,0 +1 @@
+adebdc242ea9638378073df8011e09951dce311dc786b40921f4226118bc148d
\ No newline at end of file
diff --git a/samples/timm/fasternet_t1.in1k/graph_net.json b/samples/timm/fasternet_t1.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fasternet_t1.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fasternet_t1.in1k/input_meta.py b/samples/timm/fasternet_t1.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_t1.in1k/input_tensor_constraints.py b/samples/timm/fasternet_t1.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_t1.in1k/model.py b/samples/timm/fasternet_t1.in1k/model.py
new file mode 100644
index 000000000..ab6cfe0b9
--- /dev/null
+++ b/samples/timm/fasternet_t1.in1k/model.py
@@ -0,0 +1,1032 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_norm_buffers_running_mean_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        )
+        l_self_modules_patch_embed_modules_norm_buffers_running_var_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_var_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        conv2d = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            None,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_patch_embed_modules_proj_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            conv2d,
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_,
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_,
+            l_self_modules_patch_embed_modules_norm_parameters_weight_,
+            l_self_modules_patch_embed_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_norm_parameters_bias_ = None
+        split = torch.functional.split(x, [16, 48], dim=1)
+        x1 = split[0]
+        x2 = split[1]
+        split = None
+        x1_1 = torch.conv2d(
+            x1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_1 = torch.cat((x1_1, x2), 1)
+        x1_1 = x2 = None
+        input_1 = torch.conv2d(
+            x_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_3 = torch._C._nn.gelu(input_2, approximate="none")
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_2 = x + input_4
+        x = input_4 = None
+        conv2d_4 = torch.conv2d(
+            x_2,
+            l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_3 = torch.nn.functional.batch_norm(
+            conv2d_4,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_4 = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_3, [32, 96], dim=1)
+        x1_2 = split_1[0]
+        x2_1 = split_1[1]
+        split_1 = None
+        x1_3 = torch.conv2d(
+            x1_2,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_4 = torch.cat((x1_3, x2_1), 1)
+        x1_3 = x2_1 = None
+        input_5 = torch.conv2d(
+            x_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_4 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_6 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_5 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_7 = torch._C._nn.gelu(input_6, approximate="none")
+        input_6 = None
+        input_8 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_7 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_5 = x_3 + input_8
+        x_3 = input_8 = None
+        split_2 = torch.functional.split(x_5, [32, 96], dim=1)
+        x1_4 = split_2[0]
+        x2_2 = split_2[1]
+        split_2 = None
+        x1_5 = torch.conv2d(
+            x1_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_4 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_6 = torch.cat((x1_5, x2_2), 1)
+        x1_5 = x2_2 = None
+        input_9 = torch.conv2d(
+            x_6,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_10 = torch.nn.functional.batch_norm(
+            input_9,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_9 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_11 = torch._C._nn.gelu(input_10, approximate="none")
+        input_10 = None
+        input_12 = torch.conv2d(
+            input_11,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_11 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_7 = x_5 + input_12
+        x_5 = input_12 = None
+        conv2d_11 = torch.conv2d(
+            x_7,
+            l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_8 = torch.nn.functional.batch_norm(
+            conv2d_11,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_11 = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_8, [64, 192], dim=1)
+        x1_6 = split_3[0]
+        x2_3 = split_3[1]
+        split_3 = None
+        x1_7 = torch.conv2d(
+            x1_6,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_6 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_9 = torch.cat((x1_7, x2_3), 1)
+        x1_7 = x2_3 = None
+        input_13 = torch.conv2d(
+            x_9,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_9 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_14 = torch.nn.functional.batch_norm(
+            input_13,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_13 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_15 = torch._C._nn.gelu(input_14, approximate="none")
+        input_14 = None
+        input_16 = torch.conv2d(
+            input_15,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_15 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_10 = x_8 + input_16
+        x_8 = input_16 = None
+        split_4 = torch.functional.split(x_10, [64, 192], dim=1)
+        x1_8 = split_4[0]
+        x2_4 = split_4[1]
+        split_4 = None
+        x1_9 = torch.conv2d(
+            x1_8,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_8 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_11 = torch.cat((x1_9, x2_4), 1)
+        x1_9 = x2_4 = None
+        input_17 = torch.conv2d(
+            x_11,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_19 = torch._C._nn.gelu(input_18, approximate="none")
+        input_18 = None
+        input_20 = torch.conv2d(
+            input_19,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_19 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_12 = x_10 + input_20
+        x_10 = input_20 = None
+        split_5 = torch.functional.split(x_12, [64, 192], dim=1)
+        x1_10 = split_5[0]
+        x2_5 = split_5[1]
+        split_5 = None
+        x1_11 = torch.conv2d(
+            x1_10,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_10 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_13 = torch.cat((x1_11, x2_5), 1)
+        x1_11 = x2_5 = None
+        input_21 = torch.conv2d(
+            x_13,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_22 = torch.nn.functional.batch_norm(
+            input_21,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_21 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_23 = torch._C._nn.gelu(input_22, approximate="none")
+        input_22 = None
+        input_24 = torch.conv2d(
+            input_23,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_23 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_14 = x_12 + input_24
+        x_12 = input_24 = None
+        split_6 = torch.functional.split(x_14, [64, 192], dim=1)
+        x1_12 = split_6[0]
+        x2_6 = split_6[1]
+        split_6 = None
+        x1_13 = torch.conv2d(
+            x1_12,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_12 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_15 = torch.cat((x1_13, x2_6), 1)
+        x1_13 = x2_6 = None
+        input_25 = torch.conv2d(
+            x_15,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_26 = torch.nn.functional.batch_norm(
+            input_25,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_25 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_27 = torch._C._nn.gelu(input_26, approximate="none")
+        input_26 = None
+        input_28 = torch.conv2d(
+            input_27,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_27 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_16 = x_14 + input_28
+        x_14 = input_28 = None
+        split_7 = torch.functional.split(x_16, [64, 192], dim=1)
+        x1_14 = split_7[0]
+        x2_7 = split_7[1]
+        split_7 = None
+        x1_15 = torch.conv2d(
+            x1_14,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_14 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_17 = torch.cat((x1_15, x2_7), 1)
+        x1_15 = x2_7 = None
+        input_29 = torch.conv2d(
+            x_17,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_30 = torch.nn.functional.batch_norm(
+            input_29,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_29 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_31 = torch._C._nn.gelu(input_30, approximate="none")
+        input_30 = None
+        input_32 = torch.conv2d(
+            input_31,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_31 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_18 = x_16 + input_32
+        x_16 = input_32 = None
+        split_8 = torch.functional.split(x_18, [64, 192], dim=1)
+        x1_16 = split_8[0]
+        x2_8 = split_8[1]
+        split_8 = None
+        x1_17 = torch.conv2d(
+            x1_16,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_16 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_19 = torch.cat((x1_17, x2_8), 1)
+        x1_17 = x2_8 = None
+        input_33 = torch.conv2d(
+            x_19,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_34 = torch.nn.functional.batch_norm(
+            input_33,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_33 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_35 = torch._C._nn.gelu(input_34, approximate="none")
+        input_34 = None
+        input_36 = torch.conv2d(
+            input_35,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_35 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_20 = x_18 + input_36
+        x_18 = input_36 = None
+        split_9 = torch.functional.split(x_20, [64, 192], dim=1)
+        x1_18 = split_9[0]
+        x2_9 = split_9[1]
+        split_9 = None
+        x1_19 = torch.conv2d(
+            x1_18,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_18 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_21 = torch.cat((x1_19, x2_9), 1)
+        x1_19 = x2_9 = None
+        input_37 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_38 = torch.nn.functional.batch_norm(
+            input_37,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_37 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_39 = torch._C._nn.gelu(input_38, approximate="none")
+        input_38 = None
+        input_40 = torch.conv2d(
+            input_39,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_39 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_22 = x_20 + input_40
+        x_20 = input_40 = None
+        split_10 = torch.functional.split(x_22, [64, 192], dim=1)
+        x1_20 = split_10[0]
+        x2_10 = split_10[1]
+        split_10 = None
+        x1_21 = torch.conv2d(
+            x1_20,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_20 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_23 = torch.cat((x1_21, x2_10), 1)
+        x1_21 = x2_10 = None
+        input_41 = torch.conv2d(
+            x_23,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_42 = torch.nn.functional.batch_norm(
+            input_41,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_41 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_43 = torch._C._nn.gelu(input_42, approximate="none")
+        input_42 = None
+        input_44 = torch.conv2d(
+            input_43,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_43 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_24 = x_22 + input_44
+        x_22 = input_44 = None
+        conv2d_36 = torch.conv2d(
+            x_24,
+            l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            conv2d_36,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_36 = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_25, [128, 384], dim=1)
+        x1_22 = split_11[0]
+        x2_11 = split_11[1]
+        split_11 = None
+        x1_23 = torch.conv2d(
+            x1_22,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_22 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_26 = torch.cat((x1_23, x2_11), 1)
+        x1_23 = x2_11 = None
+        input_45 = torch.conv2d(
+            x_26,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_46 = torch.nn.functional.batch_norm(
+            input_45,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_45 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_47 = torch._C._nn.gelu(input_46, approximate="none")
+        input_46 = None
+        input_48 = torch.conv2d(
+            input_47,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_47 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_27 = x_25 + input_48
+        x_25 = input_48 = None
+        split_12 = torch.functional.split(x_27, [128, 384], dim=1)
+        x1_24 = split_12[0]
+        x2_12 = split_12[1]
+        split_12 = None
+        x1_25 = torch.conv2d(
+            x1_24,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_24 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_28 = torch.cat((x1_25, x2_12), 1)
+        x1_25 = x2_12 = None
+        input_49 = torch.conv2d(
+            x_28,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_50 = torch.nn.functional.batch_norm(
+            input_49,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_49 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_51 = torch._C._nn.gelu(input_50, approximate="none")
+        input_50 = None
+        input_52 = torch.conv2d(
+            input_51,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_51 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_29 = x_27 + input_52
+        x_27 = input_52 = None
+        x_30 = torch.nn.functional.adaptive_avg_pool2d(x_29, 1)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_conv_head_parameters_weight_ = None
+        x_32 = torch._C._nn.gelu(x_31, approximate="none")
+        x_31 = None
+        x_33 = x_32.flatten(1, -1)
+        x_32 = None
+        x_34 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_33 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_34,)
diff --git a/samples/timm/fasternet_t1.in1k/weight_meta.py b/samples/timm/fasternet_t1.in1k/weight_meta.py
new file mode 100644
index 000000000..ea67052bc
--- /dev/null
+++ b/samples/timm/fasternet_t1.in1k/weight_meta.py
@@ -0,0 +1,1158 @@
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [64, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_var_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [64, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [128, 64, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [128, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [256, 128, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_"
+    shape = [256, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [512, 256, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [512, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fasternet_t2.in1k/graph_hash.txt b/samples/timm/fasternet_t2.in1k/graph_hash.txt
new file mode 100644
index 000000000..5f86bd6ce
--- /dev/null
+++ b/samples/timm/fasternet_t2.in1k/graph_hash.txt
@@ -0,0 +1 @@
+d2e99ed9df3ed17b811065fd33c5e42e45d90ab5ff1723758000abab6fc04b45
\ No newline at end of file
diff --git a/samples/timm/fasternet_t2.in1k/graph_net.json b/samples/timm/fasternet_t2.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fasternet_t2.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fasternet_t2.in1k/input_meta.py b/samples/timm/fasternet_t2.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_t2.in1k/input_tensor_constraints.py b/samples/timm/fasternet_t2.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fasternet_t2.in1k/model.py b/samples/timm/fasternet_t2.in1k/model.py
new file mode 100644
index 000000000..19a21d8f4
--- /dev/null
+++ b/samples/timm/fasternet_t2.in1k/model.py
@@ -0,0 +1,1032 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_patch_embed_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_patch_embed_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_patch_embed_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_patch_embed_modules_proj_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_proj_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_patch_embed_modules_norm_buffers_running_mean_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        )
+        l_self_modules_patch_embed_modules_norm_buffers_running_var_ = (
+            L_self_modules_patch_embed_modules_norm_buffers_running_var_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_weight_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_weight_
+        )
+        l_self_modules_patch_embed_modules_norm_parameters_bias_ = (
+            L_self_modules_patch_embed_modules_norm_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        conv2d = torch.conv2d(
+            l_x_,
+            l_self_modules_patch_embed_modules_proj_parameters_weight_,
+            None,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_patch_embed_modules_proj_parameters_weight_ = None
+        x = torch.nn.functional.batch_norm(
+            conv2d,
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_,
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_,
+            l_self_modules_patch_embed_modules_norm_parameters_weight_,
+            l_self_modules_patch_embed_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_mean_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_buffers_running_var_
+        ) = (
+            l_self_modules_patch_embed_modules_norm_parameters_weight_
+        ) = l_self_modules_patch_embed_modules_norm_parameters_bias_ = None
+        split = torch.functional.split(x, [24, 72], dim=1)
+        x1 = split[0]
+        x2 = split[1]
+        split = None
+        x1_1 = torch.conv2d(
+            x1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_1 = torch.cat((x1_1, x2), 1)
+        x1_1 = x2 = None
+        input_1 = torch.conv2d(
+            x_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_2 = x + input_4
+        x = input_4 = None
+        conv2d_4 = torch.conv2d(
+            x_2,
+            l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_3 = torch.nn.functional.batch_norm(
+            conv2d_4,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_4 = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_3, [48, 144], dim=1)
+        x1_2 = split_1[0]
+        x2_1 = split_1[1]
+        split_1 = None
+        x1_3 = torch.conv2d(
+            x1_2,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_4 = torch.cat((x1_3, x2_1), 1)
+        x1_3 = x2_1 = None
+        input_5 = torch.conv2d(
+            x_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_4 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_6 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_5 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_7 = torch.nn.functional.relu(input_6, inplace=True)
+        input_6 = None
+        input_8 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_7 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_5 = x_3 + input_8
+        x_3 = input_8 = None
+        split_2 = torch.functional.split(x_5, [48, 144], dim=1)
+        x1_4 = split_2[0]
+        x2_2 = split_2[1]
+        split_2 = None
+        x1_5 = torch.conv2d(
+            x1_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_4 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_6 = torch.cat((x1_5, x2_2), 1)
+        x1_5 = x2_2 = None
+        input_9 = torch.conv2d(
+            x_6,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_10 = torch.nn.functional.batch_norm(
+            input_9,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_9 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_11 = torch.nn.functional.relu(input_10, inplace=True)
+        input_10 = None
+        input_12 = torch.conv2d(
+            input_11,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_11 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_7 = x_5 + input_12
+        x_5 = input_12 = None
+        conv2d_11 = torch.conv2d(
+            x_7,
+            l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = l_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_8 = torch.nn.functional.batch_norm(
+            conv2d_11,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_11 = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_8, [96, 288], dim=1)
+        x1_6 = split_3[0]
+        x2_3 = split_3[1]
+        split_3 = None
+        x1_7 = torch.conv2d(
+            x1_6,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_6 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_9 = torch.cat((x1_7, x2_3), 1)
+        x1_7 = x2_3 = None
+        input_13 = torch.conv2d(
+            x_9,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_9 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_14 = torch.nn.functional.batch_norm(
+            input_13,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_13 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_15 = torch.nn.functional.relu(input_14, inplace=True)
+        input_14 = None
+        input_16 = torch.conv2d(
+            input_15,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_15 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_10 = x_8 + input_16
+        x_8 = input_16 = None
+        split_4 = torch.functional.split(x_10, [96, 288], dim=1)
+        x1_8 = split_4[0]
+        x2_4 = split_4[1]
+        split_4 = None
+        x1_9 = torch.conv2d(
+            x1_8,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_8 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_11 = torch.cat((x1_9, x2_4), 1)
+        x1_9 = x2_4 = None
+        input_17 = torch.conv2d(
+            x_11,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_19 = torch.nn.functional.relu(input_18, inplace=True)
+        input_18 = None
+        input_20 = torch.conv2d(
+            input_19,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_19 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_12 = x_10 + input_20
+        x_10 = input_20 = None
+        split_5 = torch.functional.split(x_12, [96, 288], dim=1)
+        x1_10 = split_5[0]
+        x2_5 = split_5[1]
+        split_5 = None
+        x1_11 = torch.conv2d(
+            x1_10,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_10 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_13 = torch.cat((x1_11, x2_5), 1)
+        x1_11 = x2_5 = None
+        input_21 = torch.conv2d(
+            x_13,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_22 = torch.nn.functional.batch_norm(
+            input_21,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_21 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_23 = torch.nn.functional.relu(input_22, inplace=True)
+        input_22 = None
+        input_24 = torch.conv2d(
+            input_23,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_23 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_14 = x_12 + input_24
+        x_12 = input_24 = None
+        split_6 = torch.functional.split(x_14, [96, 288], dim=1)
+        x1_12 = split_6[0]
+        x2_6 = split_6[1]
+        split_6 = None
+        x1_13 = torch.conv2d(
+            x1_12,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_12 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_15 = torch.cat((x1_13, x2_6), 1)
+        x1_13 = x2_6 = None
+        input_25 = torch.conv2d(
+            x_15,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_15 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_26 = torch.nn.functional.batch_norm(
+            input_25,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_25 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_27 = torch.nn.functional.relu(input_26, inplace=True)
+        input_26 = None
+        input_28 = torch.conv2d(
+            input_27,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_27 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_16 = x_14 + input_28
+        x_14 = input_28 = None
+        split_7 = torch.functional.split(x_16, [96, 288], dim=1)
+        x1_14 = split_7[0]
+        x2_7 = split_7[1]
+        split_7 = None
+        x1_15 = torch.conv2d(
+            x1_14,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_14 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_17 = torch.cat((x1_15, x2_7), 1)
+        x1_15 = x2_7 = None
+        input_29 = torch.conv2d(
+            x_17,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_30 = torch.nn.functional.batch_norm(
+            input_29,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_29 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_31 = torch.nn.functional.relu(input_30, inplace=True)
+        input_30 = None
+        input_32 = torch.conv2d(
+            input_31,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_31 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_18 = x_16 + input_32
+        x_16 = input_32 = None
+        split_8 = torch.functional.split(x_18, [96, 288], dim=1)
+        x1_16 = split_8[0]
+        x2_8 = split_8[1]
+        split_8 = None
+        x1_17 = torch.conv2d(
+            x1_16,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_16 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_19 = torch.cat((x1_17, x2_8), 1)
+        x1_17 = x2_8 = None
+        input_33 = torch.conv2d(
+            x_19,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_34 = torch.nn.functional.batch_norm(
+            input_33,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_33 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_35 = torch.nn.functional.relu(input_34, inplace=True)
+        input_34 = None
+        input_36 = torch.conv2d(
+            input_35,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_35 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_20 = x_18 + input_36
+        x_18 = input_36 = None
+        split_9 = torch.functional.split(x_20, [96, 288], dim=1)
+        x1_18 = split_9[0]
+        x2_9 = split_9[1]
+        split_9 = None
+        x1_19 = torch.conv2d(
+            x1_18,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_18 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_21 = torch.cat((x1_19, x2_9), 1)
+        x1_19 = x2_9 = None
+        input_37 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_38 = torch.nn.functional.batch_norm(
+            input_37,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_37 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_39 = torch.nn.functional.relu(input_38, inplace=True)
+        input_38 = None
+        input_40 = torch.conv2d(
+            input_39,
+            l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_39 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_22 = x_20 + input_40
+        x_20 = input_40 = None
+        split_10 = torch.functional.split(x_22, [96, 288], dim=1)
+        x1_20 = split_10[0]
+        x2_10 = split_10[1]
+        split_10 = None
+        x1_21 = torch.conv2d(
+            x1_20,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_20 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_23 = torch.cat((x1_21, x2_10), 1)
+        x1_21 = x2_10 = None
+        input_41 = torch.conv2d(
+            x_23,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_42 = torch.nn.functional.batch_norm(
+            input_41,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_41 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_43 = torch.nn.functional.relu(input_42, inplace=True)
+        input_42 = None
+        input_44 = torch.conv2d(
+            input_43,
+            l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_43 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_24 = x_22 + input_44
+        x_22 = input_44 = None
+        conv2d_36 = torch.conv2d(
+            x_24,
+            l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            conv2d_36,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        conv2d_36 = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_25, [192, 576], dim=1)
+        x1_22 = split_11[0]
+        x2_11 = split_11[1]
+        split_11 = None
+        x1_23 = torch.conv2d(
+            x1_22,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_22 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_26 = torch.cat((x1_23, x2_11), 1)
+        x1_23 = x2_11 = None
+        input_45 = torch.conv2d(
+            x_26,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_46 = torch.nn.functional.batch_norm(
+            input_45,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_45 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_47 = torch.nn.functional.relu(input_46, inplace=True)
+        input_46 = None
+        input_48 = torch.conv2d(
+            input_47,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_47 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_27 = x_25 + input_48
+        x_25 = input_48 = None
+        split_12 = torch.functional.split(x_27, [192, 576], dim=1)
+        x1_24 = split_12[0]
+        x2_12 = split_12[1]
+        split_12 = None
+        x1_25 = torch.conv2d(
+            x1_24,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x1_24 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_ = (None)
+        x_28 = torch.cat((x1_25, x2_12), 1)
+        x1_25 = x2_12 = None
+        input_49 = torch.conv2d(
+            x_28,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_ = (None)
+        input_50 = torch.nn.functional.batch_norm(
+            input_49,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_49 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_ = (None)
+        input_51 = torch.nn.functional.relu(input_50, inplace=True)
+        input_50 = None
+        input_52 = torch.conv2d(
+            input_51,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_51 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_ = (None)
+        x_29 = x_27 + input_52
+        x_27 = input_52 = None
+        x_30 = torch.nn.functional.adaptive_avg_pool2d(x_29, 1)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_conv_head_parameters_weight_ = None
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_33 = x_32.flatten(1, -1)
+        x_32 = None
+        x_34 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_33 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_34,)
diff --git a/samples/timm/fasternet_t2.in1k/weight_meta.py b/samples/timm/fasternet_t2.in1k/weight_meta.py
new file mode 100644
index 000000000..69b4db9db
--- /dev/null
+++ b/samples/timm/fasternet_t2.in1k/weight_meta.py
@@ -0,0 +1,1158 @@
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_proj_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_proj_parameters_weight_"
+    shape = [96, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_buffers_running_var_:
+    name = "L_self_modules_patch_embed_modules_norm_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_weight_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_patch_embed_modules_norm_parameters_bias_:
+    name = "L_self_modules_patch_embed_modules_norm_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [24, 24, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [192, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [96, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [192, 96, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [384, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [192, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [384, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [192, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [384, 192, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_0_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_3_parameters_weight_"
+    shape = [384, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_reduction_parameters_weight_"
+    shape = [768, 384, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_spatial_mixing_modules_partial_conv3_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_0_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_3_parameters_weight_"
+    shape = [768, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fastvit_s12.apple_dist_in1k/graph_hash.txt b/samples/timm/fastvit_s12.apple_dist_in1k/graph_hash.txt
new file mode 100644
index 000000000..2dccafdf4
--- /dev/null
+++ b/samples/timm/fastvit_s12.apple_dist_in1k/graph_hash.txt
@@ -0,0 +1 @@
+7e8a74c0531568d7987d5fadc54c5a7889d8697fe6529ec8ad0f30785202d1c6
\ No newline at end of file
diff --git a/samples/timm/fastvit_s12.apple_dist_in1k/graph_net.json b/samples/timm/fastvit_s12.apple_dist_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fastvit_s12.apple_dist_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fastvit_s12.apple_dist_in1k/input_meta.py b/samples/timm/fastvit_s12.apple_dist_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fastvit_s12.apple_dist_in1k/input_tensor_constraints.py b/samples/timm/fastvit_s12.apple_dist_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fastvit_s12.apple_dist_in1k/model.py b/samples/timm/fastvit_s12.apple_dist_in1k/model.py
new file mode 100644
index 000000000..f389dce5c
--- /dev/null
+++ b/samples/timm/fastvit_s12.apple_dist_in1k/model.py
@@ -0,0 +1,3129 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor,
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+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_
+        l_x_ = L_x_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_ = (
+            L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_2_modules_identity_buffers_running_var_ = (
+            L_self_modules_stem_modules_2_modules_identity_buffers_running_var_
+        )
+        l_self_modules_stem_modules_2_modules_identity_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_identity_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_identity_parameters_bias_ = (
+            L_self_modules_stem_modules_2_modules_identity_parameters_bias_
+        )
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_
+        )
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_ = (
+            L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_ = (
+            L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_
+        )
+        l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_ = (
+            L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_ = (
+            L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_ = (
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_
+        ) = None
+        out = x_1 + 0
+        x_1 = None
+        x_2 = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_3 = torch.nn.functional.batch_norm(
+            x_2,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_2 = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out += x_3
+        out_1 = out
+        out = x_3 = None
+        input_1 = torch._C._nn.gelu(out_1, approximate="none")
+        out_1 = None
+        x_4 = torch.conv2d(
+            input_1,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_5 = torch.nn.functional.batch_norm(
+            x_4,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_4 = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_ = (
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_
+        ) = None
+        out_2 = x_5 + 0
+        x_5 = None
+        x_6 = torch.conv2d(
+            input_1,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        input_1 = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_2 += x_7
+        out_3 = out_2
+        out_2 = x_7 = None
+        input_2 = torch._C._nn.gelu(out_3, approximate="none")
+        out_3 = None
+        identity_out = torch.nn.functional.batch_norm(
+            input_2,
+            l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_,
+            l_self_modules_stem_modules_2_modules_identity_buffers_running_var_,
+            l_self_modules_stem_modules_2_modules_identity_parameters_weight_,
+            l_self_modules_stem_modules_2_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_ = (
+            l_self_modules_stem_modules_2_modules_identity_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_2_modules_identity_parameters_weight_
+        ) = l_self_modules_stem_modules_2_modules_identity_parameters_bias_ = None
+        out_4 = 0 + identity_out
+        identity_out = None
+        x_8 = torch.conv2d(
+            input_2,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_2 = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_4 += x_9
+        out_5 = out_4
+        out_4 = x_9 = None
+        input_3 = torch._C._nn.gelu(out_5, approximate="none")
+        out_5 = None
+        identity_out_1 = torch.nn.functional.batch_norm(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_10 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_11 = torch.nn.functional.batch_norm(
+            x_10,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_10 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_6 = x_11 + identity_out_1
+        x_11 = identity_out_1 = None
+        x_12 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_6 += x_13
+        out_7 = out_6
+        out_6 = x_13 = None
+        identity_out_2 = torch.nn.functional.batch_norm(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_8 = 0 + identity_out_2
+        identity_out_2 = None
+        sub = out_7 - out_8
+        out_7 = out_8 = None
+        mul = (
+            sub
+            * l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_14 = input_3 + mul
+        input_3 = mul = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_18 = torch._C._nn.gelu(x_17, approximate="none")
+        x_17 = None
+        x_19 = torch.nn.functional.dropout(x_18, 0.0, False, False)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_21 = torch.nn.functional.dropout(x_20, 0.0, False, False)
+        x_20 = None
+        mul_1 = (
+            x_21
+            * l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_21 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_22 = x_14 + mul_1
+        x_14 = mul_1 = None
+        identity_out_3 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_9 = x_24 + identity_out_3
+        x_24 = identity_out_3 = None
+        x_25 = torch.conv2d(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_9 += x_26
+        out_10 = out_9
+        out_9 = x_26 = None
+        identity_out_4 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_11 = 0 + identity_out_4
+        identity_out_4 = None
+        sub_1 = out_10 - out_11
+        out_10 = out_11 = None
+        mul_2 = (
+            sub_1
+            * l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_1 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_27 = x_22 + mul_2
+        x_22 = mul_2 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_29 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_31 = torch._C._nn.gelu(x_30, approximate="none")
+        x_30 = None
+        x_32 = torch.nn.functional.dropout(x_31, 0.0, False, False)
+        x_31 = None
+        x_33 = torch.conv2d(
+            x_32,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_34 = torch.nn.functional.dropout(x_33, 0.0, False, False)
+        x_33 = None
+        mul_3 = (
+            x_34
+            * l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_34 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_35 = x_27 + mul_3
+        x_27 = mul_3 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        x_35 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None)
+        out_12 = x_37 + x_39
+        x_37 = x_39 = None
+        identity_out_5 = torch.nn.functional.batch_norm(
+            out_12,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None)
+        out_13 = 0 + identity_out_5
+        identity_out_5 = None
+        x_40 = torch.conv2d(
+            out_12,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_12 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_13 += x_41
+        out_14 = out_13
+        out_13 = x_41 = None
+        input_4 = torch._C._nn.gelu(out_14, approximate="none")
+        out_14 = None
+        identity_out_6 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_42 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_15 = x_43 + identity_out_6
+        x_43 = identity_out_6 = None
+        x_44 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_15 += x_45
+        out_16 = out_15
+        out_15 = x_45 = None
+        identity_out_7 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_17 = 0 + identity_out_7
+        identity_out_7 = None
+        sub_2 = out_16 - out_17
+        out_16 = out_17 = None
+        mul_4 = (
+            sub_2
+            * l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_46 = input_4 + mul_4
+        input_4 = mul_4 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_50 = torch._C._nn.gelu(x_49, approximate="none")
+        x_49 = None
+        x_51 = torch.nn.functional.dropout(x_50, 0.0, False, False)
+        x_50 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_53 = torch.nn.functional.dropout(x_52, 0.0, False, False)
+        x_52 = None
+        mul_5 = (
+            x_53
+            * l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_53 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_54 = x_46 + mul_5
+        x_46 = mul_5 = None
+        identity_out_8 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_18 = x_56 + identity_out_8
+        x_56 = identity_out_8 = None
+        x_57 = torch.conv2d(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_18 += x_58
+        out_19 = out_18
+        out_18 = x_58 = None
+        identity_out_9 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_20 = 0 + identity_out_9
+        identity_out_9 = None
+        sub_3 = out_19 - out_20
+        out_19 = out_20 = None
+        mul_6 = (
+            sub_3
+            * l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_3 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_59 = x_54 + mul_6
+        x_54 = mul_6 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_61 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_63 = torch._C._nn.gelu(x_62, approximate="none")
+        x_62 = None
+        x_64 = torch.nn.functional.dropout(x_63, 0.0, False, False)
+        x_63 = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.dropout(x_65, 0.0, False, False)
+        x_65 = None
+        mul_7 = (
+            x_66
+            * l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_66 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_67 = x_59 + mul_7
+        x_59 = mul_7 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.conv2d(
+            x_67,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        x_67 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None)
+        out_21 = x_69 + x_71
+        x_69 = x_71 = None
+        identity_out_10 = torch.nn.functional.batch_norm(
+            out_21,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None)
+        out_22 = 0 + identity_out_10
+        identity_out_10 = None
+        x_72 = torch.conv2d(
+            out_21,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_21 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_22 += x_73
+        out_23 = out_22
+        out_22 = x_73 = None
+        input_5 = torch._C._nn.gelu(out_23, approximate="none")
+        out_23 = None
+        identity_out_11 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_74 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_24 = x_75 + identity_out_11
+        x_75 = identity_out_11 = None
+        x_76 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_24 += x_77
+        out_25 = out_24
+        out_24 = x_77 = None
+        identity_out_12 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_26 = 0 + identity_out_12
+        identity_out_12 = None
+        sub_4 = out_25 - out_26
+        out_25 = out_26 = None
+        mul_8 = (
+            sub_4
+            * l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_4 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_78 = input_5 + mul_8
+        input_5 = mul_8 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_82 = torch._C._nn.gelu(x_81, approximate="none")
+        x_81 = None
+        x_83 = torch.nn.functional.dropout(x_82, 0.0, False, False)
+        x_82 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_83 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_85 = torch.nn.functional.dropout(x_84, 0.0, False, False)
+        x_84 = None
+        mul_9 = (
+            x_85
+            * l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_85 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_86 = x_78 + mul_9
+        x_78 = mul_9 = None
+        identity_out_13 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_27 = x_88 + identity_out_13
+        x_88 = identity_out_13 = None
+        x_89 = torch.conv2d(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_27 += x_90
+        out_28 = out_27
+        out_27 = x_90 = None
+        identity_out_14 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_29 = 0 + identity_out_14
+        identity_out_14 = None
+        sub_5 = out_28 - out_29
+        out_28 = out_29 = None
+        mul_10 = (
+            sub_5
+            * l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_5 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_91 = x_86 + mul_10
+        x_86 = mul_10 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_95 = torch._C._nn.gelu(x_94, approximate="none")
+        x_94 = None
+        x_96 = torch.nn.functional.dropout(x_95, 0.0, False, False)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.dropout(x_97, 0.0, False, False)
+        x_97 = None
+        mul_11 = (
+            x_98
+            * l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_98 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_99 = x_91 + mul_11
+        x_91 = mul_11 = None
+        identity_out_15 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_30 = x_101 + identity_out_15
+        x_101 = identity_out_15 = None
+        x_102 = torch.conv2d(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_30 += x_103
+        out_31 = out_30
+        out_30 = x_103 = None
+        identity_out_16 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_32 = 0 + identity_out_16
+        identity_out_16 = None
+        sub_6 = out_31 - out_32
+        out_31 = out_32 = None
+        mul_12 = (
+            sub_6
+            * l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_6 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_104 = x_99 + mul_12
+        x_99 = mul_12 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_108 = torch._C._nn.gelu(x_107, approximate="none")
+        x_107 = None
+        x_109 = torch.nn.functional.dropout(x_108, 0.0, False, False)
+        x_108 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_109 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_111 = torch.nn.functional.dropout(x_110, 0.0, False, False)
+        x_110 = None
+        mul_13 = (
+            x_111
+            * l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_
+        )
+        x_111 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_ = (None)
+        x_112 = x_104 + mul_13
+        x_104 = mul_13 = None
+        identity_out_17 = torch.nn.functional.batch_norm(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_33 = x_114 + identity_out_17
+        x_114 = identity_out_17 = None
+        x_115 = torch.conv2d(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_116 = torch.nn.functional.batch_norm(
+            x_115,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_115 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_33 += x_116
+        out_34 = out_33
+        out_33 = x_116 = None
+        identity_out_18 = torch.nn.functional.batch_norm(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_35 = 0 + identity_out_18
+        identity_out_18 = None
+        sub_7 = out_34 - out_35
+        out_34 = out_35 = None
+        mul_14 = (
+            sub_7
+            * l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_7 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_117 = x_112 + mul_14
+        x_112 = mul_14 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_119 = torch.nn.functional.batch_norm(
+            x_118,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_118 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_119 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_121 = torch._C._nn.gelu(x_120, approximate="none")
+        x_120 = None
+        x_122 = torch.nn.functional.dropout(x_121, 0.0, False, False)
+        x_121 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.dropout(x_123, 0.0, False, False)
+        x_123 = None
+        mul_15 = (
+            x_124
+            * l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_
+        )
+        x_124 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_ = (None)
+        x_125 = x_117 + mul_15
+        x_117 = mul_15 = None
+        identity_out_19 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_126 = torch.conv2d(
+            x_125,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_127 = torch.nn.functional.batch_norm(
+            x_126,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_126 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_36 = x_127 + identity_out_19
+        x_127 = identity_out_19 = None
+        x_128 = torch.conv2d(
+            x_125,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_36 += x_129
+        out_37 = out_36
+        out_36 = x_129 = None
+        identity_out_20 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_38 = 0 + identity_out_20
+        identity_out_20 = None
+        sub_8 = out_37 - out_38
+        out_37 = out_38 = None
+        mul_16 = (
+            sub_8
+            * l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_8 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_130 = x_125 + mul_16
+        x_125 = mul_16 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_132 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_134 = torch._C._nn.gelu(x_133, approximate="none")
+        x_133 = None
+        x_135 = torch.nn.functional.dropout(x_134, 0.0, False, False)
+        x_134 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_135 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_137 = torch.nn.functional.dropout(x_136, 0.0, False, False)
+        x_136 = None
+        mul_17 = (
+            x_137
+            * l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_
+        )
+        x_137 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_ = (None)
+        x_138 = x_130 + mul_17
+        x_130 = mul_17 = None
+        identity_out_21 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_39 = x_140 + identity_out_21
+        x_140 = identity_out_21 = None
+        x_141 = torch.conv2d(
+            x_138,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_39 += x_142
+        out_40 = out_39
+        out_39 = x_142 = None
+        identity_out_22 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_41 = 0 + identity_out_22
+        identity_out_22 = None
+        sub_9 = out_40 - out_41
+        out_40 = out_41 = None
+        mul_18 = (
+            sub_9
+            * l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_9 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_143 = x_138 + mul_18
+        x_138 = mul_18 = None
+        x_144 = torch.conv2d(
+            x_143,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_145 = torch.nn.functional.batch_norm(
+            x_144,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_144 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_147 = torch._C._nn.gelu(x_146, approximate="none")
+        x_146 = None
+        x_148 = torch.nn.functional.dropout(x_147, 0.0, False, False)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False)
+        x_149 = None
+        mul_19 = (
+            x_150
+            * l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_
+        )
+        x_150 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_ = (None)
+        x_151 = x_143 + mul_19
+        x_143 = mul_19 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None)
+        x_154 = torch.conv2d(
+            x_151,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        x_151 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None)
+        x_155 = torch.nn.functional.batch_norm(
+            x_154,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_154 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None)
+        out_42 = x_153 + x_155
+        x_153 = x_155 = None
+        identity_out_23 = torch.nn.functional.batch_norm(
+            out_42,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None)
+        out_43 = 0 + identity_out_23
+        identity_out_23 = None
+        x_156 = torch.conv2d(
+            out_42,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_42 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_157 = torch.nn.functional.batch_norm(
+            x_156,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_156 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_43 += x_157
+        out_44 = out_43
+        out_43 = x_157 = None
+        input_6 = torch._C._nn.gelu(out_44, approximate="none")
+        out_44 = None
+        identity_out_24 = torch.nn.functional.batch_norm(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_158 = torch.conv2d(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_159 = torch.nn.functional.batch_norm(
+            x_158,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_158 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_45 = x_159 + identity_out_24
+        x_159 = identity_out_24 = None
+        x_160 = torch.conv2d(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_45 += x_161
+        out_46 = out_45
+        out_45 = x_161 = None
+        identity_out_25 = torch.nn.functional.batch_norm(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_47 = 0 + identity_out_25
+        identity_out_25 = None
+        sub_10 = out_46 - out_47
+        out_46 = out_47 = None
+        mul_20 = (
+            sub_10
+            * l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_10 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_162 = input_6 + mul_20
+        input_6 = mul_20 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_164 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_166 = torch._C._nn.gelu(x_165, approximate="none")
+        x_165 = None
+        x_167 = torch.nn.functional.dropout(x_166, 0.0, False, False)
+        x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_167 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_169 = torch.nn.functional.dropout(x_168, 0.0, False, False)
+        x_168 = None
+        mul_21 = (
+            x_169
+            * l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_169 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_170 = x_162 + mul_21
+        x_162 = mul_21 = None
+        identity_out_26 = torch.nn.functional.batch_norm(
+            x_170,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_48 = x_172 + identity_out_26
+        x_172 = identity_out_26 = None
+        x_173 = torch.conv2d(
+            x_170,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_174 = torch.nn.functional.batch_norm(
+            x_173,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_173 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_48 += x_174
+        out_49 = out_48
+        out_48 = x_174 = None
+        identity_out_27 = torch.nn.functional.batch_norm(
+            x_170,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_50 = 0 + identity_out_27
+        identity_out_27 = None
+        sub_11 = out_49 - out_50
+        out_49 = out_50 = None
+        mul_22 = (
+            sub_11
+            * l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_11 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_175 = x_170 + mul_22
+        x_170 = mul_22 = None
+        x_176 = torch.conv2d(
+            x_175,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_177 = torch.nn.functional.batch_norm(
+            x_176,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_176 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_178 = torch.conv2d(
+            x_177,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_177 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_179 = torch._C._nn.gelu(x_178, approximate="none")
+        x_178 = None
+        x_180 = torch.nn.functional.dropout(x_179, 0.0, False, False)
+        x_179 = None
+        x_181 = torch.conv2d(
+            x_180,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_180 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_182 = torch.nn.functional.dropout(x_181, 0.0, False, False)
+        x_181 = None
+        mul_23 = (
+            x_182
+            * l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_182 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_183 = x_175 + mul_23
+        x_175 = mul_23 = None
+        x_184 = torch.conv2d(
+            x_183,
+            l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            512,
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_185 = torch.nn.functional.batch_norm(
+            x_184,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_184 = l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_ = (
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_
+        ) = None
+        out_51 = x_185 + 0
+        x_185 = None
+        x_186 = torch.conv2d(
+            x_183,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        x_183 = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_187 = torch.nn.functional.batch_norm(
+            x_186,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_186 = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_51 += x_187
+        out_52 = out_51
+        out_51 = x_187 = None
+        x_se = out_52.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_,
+            l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = (
+            l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_
+        ) = l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_ = None
+        x_se_2 = torch.nn.functional.relu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_,
+            l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = (
+            l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_
+        ) = l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_ = None
+        sigmoid = x_se_3.sigmoid()
+        x_se_3 = None
+        mul_24 = out_52 * sigmoid
+        out_52 = sigmoid = None
+        x_188 = torch._C._nn.gelu(mul_24, approximate="none")
+        mul_24 = None
+        x_189 = torch.nn.functional.adaptive_avg_pool2d(x_188, 1)
+        x_188 = None
+        x_190 = x_189.flatten(1, -1)
+        x_189 = None
+        x_191 = torch.nn.functional.dropout(x_190, 0.0, False, False)
+        x_190 = None
+        x_192 = torch._C._nn.linear(
+            x_191,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_191 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_192,)
diff --git a/samples/timm/fastvit_s12.apple_dist_in1k/weight_meta.py b/samples/timm/fastvit_s12.apple_dist_in1k/weight_meta.py
new file mode 100644
index 000000000..7f6278e31
--- /dev/null
+++ b/samples/timm/fastvit_s12.apple_dist_in1k/weight_meta.py
@@ -0,0 +1,4532 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [64, 3, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.353
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.222
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [64, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.072
+    std = 0.550
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.194
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stem_modules_2_modules_identity_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_identity_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_parameters_bias_:
+    name = "L_self_modules_stem_modules_2_modules_identity_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [64, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.061
+    std = 0.630
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [64, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [64, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.014
+    std = 0.508
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.014
+    std = 0.201
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [64, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [256, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_"
+    shape = [128, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [128, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.012
+    std = 0.595
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.187
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [128, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [128, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.064
+    std = 0.590
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [128, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.029
+    std = 0.585
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.580
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.013
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.025
+    std = 0.589
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.579
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.042
+    std = 0.598
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.593
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [512, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.576
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [512, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.584
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.194
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_:
+    name = (
+        "L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_"
+    )
+    shape = [1024, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.584
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = (
+        "L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = (
+        "L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_"
+    shape = [64, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_"
+    shape = [1024, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/graph_hash.txt b/samples/timm/fastvit_t12.apple_dist_in1k/graph_hash.txt
new file mode 100644
index 000000000..6f283235c
--- /dev/null
+++ b/samples/timm/fastvit_t12.apple_dist_in1k/graph_hash.txt
@@ -0,0 +1 @@
+cf5a0b6e8e38ec25e164a8d2803888ce70dc400d1f5514527c41391bc5a0e891
\ No newline at end of file
diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/graph_net.json b/samples/timm/fastvit_t12.apple_dist_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fastvit_t12.apple_dist_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/input_meta.py b/samples/timm/fastvit_t12.apple_dist_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/input_tensor_constraints.py b/samples/timm/fastvit_t12.apple_dist_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/model.py b/samples/timm/fastvit_t12.apple_dist_in1k/model.py
new file mode 100644
index 000000000..f389dce5c
--- /dev/null
+++ b/samples/timm/fastvit_t12.apple_dist_in1k/model.py
@@ -0,0 +1,3129 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
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+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_
+        l_x_ = L_x_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_ = (
+            L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_2_modules_identity_buffers_running_var_ = (
+            L_self_modules_stem_modules_2_modules_identity_buffers_running_var_
+        )
+        l_self_modules_stem_modules_2_modules_identity_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_identity_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_identity_parameters_bias_ = (
+            L_self_modules_stem_modules_2_modules_identity_parameters_bias_
+        )
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_
+        )
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_ = (
+            L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_ = (
+            L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_
+        )
+        l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_ = (
+            L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_ = (
+            L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_ = (
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_
+        ) = None
+        out = x_1 + 0
+        x_1 = None
+        x_2 = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_3 = torch.nn.functional.batch_norm(
+            x_2,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_2 = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out += x_3
+        out_1 = out
+        out = x_3 = None
+        input_1 = torch._C._nn.gelu(out_1, approximate="none")
+        out_1 = None
+        x_4 = torch.conv2d(
+            input_1,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_5 = torch.nn.functional.batch_norm(
+            x_4,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_4 = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_ = (
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_
+        ) = None
+        out_2 = x_5 + 0
+        x_5 = None
+        x_6 = torch.conv2d(
+            input_1,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        input_1 = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_2 += x_7
+        out_3 = out_2
+        out_2 = x_7 = None
+        input_2 = torch._C._nn.gelu(out_3, approximate="none")
+        out_3 = None
+        identity_out = torch.nn.functional.batch_norm(
+            input_2,
+            l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_,
+            l_self_modules_stem_modules_2_modules_identity_buffers_running_var_,
+            l_self_modules_stem_modules_2_modules_identity_parameters_weight_,
+            l_self_modules_stem_modules_2_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_ = (
+            l_self_modules_stem_modules_2_modules_identity_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_2_modules_identity_parameters_weight_
+        ) = l_self_modules_stem_modules_2_modules_identity_parameters_bias_ = None
+        out_4 = 0 + identity_out
+        identity_out = None
+        x_8 = torch.conv2d(
+            input_2,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_2 = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_4 += x_9
+        out_5 = out_4
+        out_4 = x_9 = None
+        input_3 = torch._C._nn.gelu(out_5, approximate="none")
+        out_5 = None
+        identity_out_1 = torch.nn.functional.batch_norm(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_10 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_11 = torch.nn.functional.batch_norm(
+            x_10,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_10 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_6 = x_11 + identity_out_1
+        x_11 = identity_out_1 = None
+        x_12 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_6 += x_13
+        out_7 = out_6
+        out_6 = x_13 = None
+        identity_out_2 = torch.nn.functional.batch_norm(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_8 = 0 + identity_out_2
+        identity_out_2 = None
+        sub = out_7 - out_8
+        out_7 = out_8 = None
+        mul = (
+            sub
+            * l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_14 = input_3 + mul
+        input_3 = mul = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_18 = torch._C._nn.gelu(x_17, approximate="none")
+        x_17 = None
+        x_19 = torch.nn.functional.dropout(x_18, 0.0, False, False)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_21 = torch.nn.functional.dropout(x_20, 0.0, False, False)
+        x_20 = None
+        mul_1 = (
+            x_21
+            * l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_21 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_22 = x_14 + mul_1
+        x_14 = mul_1 = None
+        identity_out_3 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_9 = x_24 + identity_out_3
+        x_24 = identity_out_3 = None
+        x_25 = torch.conv2d(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_9 += x_26
+        out_10 = out_9
+        out_9 = x_26 = None
+        identity_out_4 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_11 = 0 + identity_out_4
+        identity_out_4 = None
+        sub_1 = out_10 - out_11
+        out_10 = out_11 = None
+        mul_2 = (
+            sub_1
+            * l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_1 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_27 = x_22 + mul_2
+        x_22 = mul_2 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_29 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_31 = torch._C._nn.gelu(x_30, approximate="none")
+        x_30 = None
+        x_32 = torch.nn.functional.dropout(x_31, 0.0, False, False)
+        x_31 = None
+        x_33 = torch.conv2d(
+            x_32,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_34 = torch.nn.functional.dropout(x_33, 0.0, False, False)
+        x_33 = None
+        mul_3 = (
+            x_34
+            * l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_34 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_35 = x_27 + mul_3
+        x_27 = mul_3 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            64,
+        )
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        x_35 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None)
+        out_12 = x_37 + x_39
+        x_37 = x_39 = None
+        identity_out_5 = torch.nn.functional.batch_norm(
+            out_12,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None)
+        out_13 = 0 + identity_out_5
+        identity_out_5 = None
+        x_40 = torch.conv2d(
+            out_12,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_12 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_13 += x_41
+        out_14 = out_13
+        out_13 = x_41 = None
+        input_4 = torch._C._nn.gelu(out_14, approximate="none")
+        out_14 = None
+        identity_out_6 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_42 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_15 = x_43 + identity_out_6
+        x_43 = identity_out_6 = None
+        x_44 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_15 += x_45
+        out_16 = out_15
+        out_15 = x_45 = None
+        identity_out_7 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_17 = 0 + identity_out_7
+        identity_out_7 = None
+        sub_2 = out_16 - out_17
+        out_16 = out_17 = None
+        mul_4 = (
+            sub_2
+            * l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_46 = input_4 + mul_4
+        input_4 = mul_4 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_50 = torch._C._nn.gelu(x_49, approximate="none")
+        x_49 = None
+        x_51 = torch.nn.functional.dropout(x_50, 0.0, False, False)
+        x_50 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_53 = torch.nn.functional.dropout(x_52, 0.0, False, False)
+        x_52 = None
+        mul_5 = (
+            x_53
+            * l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_53 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_54 = x_46 + mul_5
+        x_46 = mul_5 = None
+        identity_out_8 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_18 = x_56 + identity_out_8
+        x_56 = identity_out_8 = None
+        x_57 = torch.conv2d(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_18 += x_58
+        out_19 = out_18
+        out_18 = x_58 = None
+        identity_out_9 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_20 = 0 + identity_out_9
+        identity_out_9 = None
+        sub_3 = out_19 - out_20
+        out_19 = out_20 = None
+        mul_6 = (
+            sub_3
+            * l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_3 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_59 = x_54 + mul_6
+        x_54 = mul_6 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_61 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_63 = torch._C._nn.gelu(x_62, approximate="none")
+        x_62 = None
+        x_64 = torch.nn.functional.dropout(x_63, 0.0, False, False)
+        x_63 = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.dropout(x_65, 0.0, False, False)
+        x_65 = None
+        mul_7 = (
+            x_66
+            * l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_66 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_67 = x_59 + mul_7
+        x_59 = mul_7 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            128,
+        )
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.conv2d(
+            x_67,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        x_67 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None)
+        out_21 = x_69 + x_71
+        x_69 = x_71 = None
+        identity_out_10 = torch.nn.functional.batch_norm(
+            out_21,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None)
+        out_22 = 0 + identity_out_10
+        identity_out_10 = None
+        x_72 = torch.conv2d(
+            out_21,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_21 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_22 += x_73
+        out_23 = out_22
+        out_22 = x_73 = None
+        input_5 = torch._C._nn.gelu(out_23, approximate="none")
+        out_23 = None
+        identity_out_11 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_74 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_24 = x_75 + identity_out_11
+        x_75 = identity_out_11 = None
+        x_76 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_24 += x_77
+        out_25 = out_24
+        out_24 = x_77 = None
+        identity_out_12 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_26 = 0 + identity_out_12
+        identity_out_12 = None
+        sub_4 = out_25 - out_26
+        out_25 = out_26 = None
+        mul_8 = (
+            sub_4
+            * l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_4 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_78 = input_5 + mul_8
+        input_5 = mul_8 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_82 = torch._C._nn.gelu(x_81, approximate="none")
+        x_81 = None
+        x_83 = torch.nn.functional.dropout(x_82, 0.0, False, False)
+        x_82 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_83 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_85 = torch.nn.functional.dropout(x_84, 0.0, False, False)
+        x_84 = None
+        mul_9 = (
+            x_85
+            * l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_85 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_86 = x_78 + mul_9
+        x_78 = mul_9 = None
+        identity_out_13 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_27 = x_88 + identity_out_13
+        x_88 = identity_out_13 = None
+        x_89 = torch.conv2d(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_27 += x_90
+        out_28 = out_27
+        out_27 = x_90 = None
+        identity_out_14 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_29 = 0 + identity_out_14
+        identity_out_14 = None
+        sub_5 = out_28 - out_29
+        out_28 = out_29 = None
+        mul_10 = (
+            sub_5
+            * l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_5 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_91 = x_86 + mul_10
+        x_86 = mul_10 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_95 = torch._C._nn.gelu(x_94, approximate="none")
+        x_94 = None
+        x_96 = torch.nn.functional.dropout(x_95, 0.0, False, False)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.dropout(x_97, 0.0, False, False)
+        x_97 = None
+        mul_11 = (
+            x_98
+            * l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_98 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_99 = x_91 + mul_11
+        x_91 = mul_11 = None
+        identity_out_15 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_30 = x_101 + identity_out_15
+        x_101 = identity_out_15 = None
+        x_102 = torch.conv2d(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_30 += x_103
+        out_31 = out_30
+        out_30 = x_103 = None
+        identity_out_16 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_32 = 0 + identity_out_16
+        identity_out_16 = None
+        sub_6 = out_31 - out_32
+        out_31 = out_32 = None
+        mul_12 = (
+            sub_6
+            * l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_6 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_104 = x_99 + mul_12
+        x_99 = mul_12 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_108 = torch._C._nn.gelu(x_107, approximate="none")
+        x_107 = None
+        x_109 = torch.nn.functional.dropout(x_108, 0.0, False, False)
+        x_108 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_109 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_111 = torch.nn.functional.dropout(x_110, 0.0, False, False)
+        x_110 = None
+        mul_13 = (
+            x_111
+            * l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_
+        )
+        x_111 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_ = (None)
+        x_112 = x_104 + mul_13
+        x_104 = mul_13 = None
+        identity_out_17 = torch.nn.functional.batch_norm(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_33 = x_114 + identity_out_17
+        x_114 = identity_out_17 = None
+        x_115 = torch.conv2d(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_116 = torch.nn.functional.batch_norm(
+            x_115,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_115 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_33 += x_116
+        out_34 = out_33
+        out_33 = x_116 = None
+        identity_out_18 = torch.nn.functional.batch_norm(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_35 = 0 + identity_out_18
+        identity_out_18 = None
+        sub_7 = out_34 - out_35
+        out_34 = out_35 = None
+        mul_14 = (
+            sub_7
+            * l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_7 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_117 = x_112 + mul_14
+        x_112 = mul_14 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_119 = torch.nn.functional.batch_norm(
+            x_118,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_118 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_119 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_121 = torch._C._nn.gelu(x_120, approximate="none")
+        x_120 = None
+        x_122 = torch.nn.functional.dropout(x_121, 0.0, False, False)
+        x_121 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.dropout(x_123, 0.0, False, False)
+        x_123 = None
+        mul_15 = (
+            x_124
+            * l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_
+        )
+        x_124 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_ = (None)
+        x_125 = x_117 + mul_15
+        x_117 = mul_15 = None
+        identity_out_19 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_126 = torch.conv2d(
+            x_125,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_127 = torch.nn.functional.batch_norm(
+            x_126,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_126 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_36 = x_127 + identity_out_19
+        x_127 = identity_out_19 = None
+        x_128 = torch.conv2d(
+            x_125,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_36 += x_129
+        out_37 = out_36
+        out_36 = x_129 = None
+        identity_out_20 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_38 = 0 + identity_out_20
+        identity_out_20 = None
+        sub_8 = out_37 - out_38
+        out_37 = out_38 = None
+        mul_16 = (
+            sub_8
+            * l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_8 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_130 = x_125 + mul_16
+        x_125 = mul_16 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_132 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_134 = torch._C._nn.gelu(x_133, approximate="none")
+        x_133 = None
+        x_135 = torch.nn.functional.dropout(x_134, 0.0, False, False)
+        x_134 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_135 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_137 = torch.nn.functional.dropout(x_136, 0.0, False, False)
+        x_136 = None
+        mul_17 = (
+            x_137
+            * l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_
+        )
+        x_137 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_ = (None)
+        x_138 = x_130 + mul_17
+        x_130 = mul_17 = None
+        identity_out_21 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_39 = x_140 + identity_out_21
+        x_140 = identity_out_21 = None
+        x_141 = torch.conv2d(
+            x_138,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_39 += x_142
+        out_40 = out_39
+        out_39 = x_142 = None
+        identity_out_22 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_41 = 0 + identity_out_22
+        identity_out_22 = None
+        sub_9 = out_40 - out_41
+        out_40 = out_41 = None
+        mul_18 = (
+            sub_9
+            * l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_9 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_143 = x_138 + mul_18
+        x_138 = mul_18 = None
+        x_144 = torch.conv2d(
+            x_143,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_145 = torch.nn.functional.batch_norm(
+            x_144,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_144 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_147 = torch._C._nn.gelu(x_146, approximate="none")
+        x_146 = None
+        x_148 = torch.nn.functional.dropout(x_147, 0.0, False, False)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False)
+        x_149 = None
+        mul_19 = (
+            x_150
+            * l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_
+        )
+        x_150 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_ = (None)
+        x_151 = x_143 + mul_19
+        x_143 = mul_19 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None)
+        x_154 = torch.conv2d(
+            x_151,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        x_151 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None)
+        x_155 = torch.nn.functional.batch_norm(
+            x_154,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_154 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None)
+        out_42 = x_153 + x_155
+        x_153 = x_155 = None
+        identity_out_23 = torch.nn.functional.batch_norm(
+            out_42,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None)
+        out_43 = 0 + identity_out_23
+        identity_out_23 = None
+        x_156 = torch.conv2d(
+            out_42,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_42 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_157 = torch.nn.functional.batch_norm(
+            x_156,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_156 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_43 += x_157
+        out_44 = out_43
+        out_43 = x_157 = None
+        input_6 = torch._C._nn.gelu(out_44, approximate="none")
+        out_44 = None
+        identity_out_24 = torch.nn.functional.batch_norm(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_158 = torch.conv2d(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_159 = torch.nn.functional.batch_norm(
+            x_158,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_158 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_45 = x_159 + identity_out_24
+        x_159 = identity_out_24 = None
+        x_160 = torch.conv2d(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_45 += x_161
+        out_46 = out_45
+        out_45 = x_161 = None
+        identity_out_25 = torch.nn.functional.batch_norm(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_47 = 0 + identity_out_25
+        identity_out_25 = None
+        sub_10 = out_46 - out_47
+        out_46 = out_47 = None
+        mul_20 = (
+            sub_10
+            * l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_10 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_162 = input_6 + mul_20
+        input_6 = mul_20 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_164 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_166 = torch._C._nn.gelu(x_165, approximate="none")
+        x_165 = None
+        x_167 = torch.nn.functional.dropout(x_166, 0.0, False, False)
+        x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_167 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_169 = torch.nn.functional.dropout(x_168, 0.0, False, False)
+        x_168 = None
+        mul_21 = (
+            x_169
+            * l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_169 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_170 = x_162 + mul_21
+        x_162 = mul_21 = None
+        identity_out_26 = torch.nn.functional.batch_norm(
+            x_170,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_48 = x_172 + identity_out_26
+        x_172 = identity_out_26 = None
+        x_173 = torch.conv2d(
+            x_170,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_174 = torch.nn.functional.batch_norm(
+            x_173,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_173 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_48 += x_174
+        out_49 = out_48
+        out_48 = x_174 = None
+        identity_out_27 = torch.nn.functional.batch_norm(
+            x_170,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_50 = 0 + identity_out_27
+        identity_out_27 = None
+        sub_11 = out_49 - out_50
+        out_49 = out_50 = None
+        mul_22 = (
+            sub_11
+            * l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_11 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_175 = x_170 + mul_22
+        x_170 = mul_22 = None
+        x_176 = torch.conv2d(
+            x_175,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_177 = torch.nn.functional.batch_norm(
+            x_176,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_176 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_178 = torch.conv2d(
+            x_177,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_177 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_179 = torch._C._nn.gelu(x_178, approximate="none")
+        x_178 = None
+        x_180 = torch.nn.functional.dropout(x_179, 0.0, False, False)
+        x_179 = None
+        x_181 = torch.conv2d(
+            x_180,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_180 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_182 = torch.nn.functional.dropout(x_181, 0.0, False, False)
+        x_181 = None
+        mul_23 = (
+            x_182
+            * l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_182 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_183 = x_175 + mul_23
+        x_175 = mul_23 = None
+        x_184 = torch.conv2d(
+            x_183,
+            l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            512,
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_185 = torch.nn.functional.batch_norm(
+            x_184,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_184 = l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_ = (
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_
+        ) = None
+        out_51 = x_185 + 0
+        x_185 = None
+        x_186 = torch.conv2d(
+            x_183,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        x_183 = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_187 = torch.nn.functional.batch_norm(
+            x_186,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_186 = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_51 += x_187
+        out_52 = out_51
+        out_51 = x_187 = None
+        x_se = out_52.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_,
+            l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = (
+            l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_
+        ) = l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_ = None
+        x_se_2 = torch.nn.functional.relu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_,
+            l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = (
+            l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_
+        ) = l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_ = None
+        sigmoid = x_se_3.sigmoid()
+        x_se_3 = None
+        mul_24 = out_52 * sigmoid
+        out_52 = sigmoid = None
+        x_188 = torch._C._nn.gelu(mul_24, approximate="none")
+        mul_24 = None
+        x_189 = torch.nn.functional.adaptive_avg_pool2d(x_188, 1)
+        x_188 = None
+        x_190 = x_189.flatten(1, -1)
+        x_189 = None
+        x_191 = torch.nn.functional.dropout(x_190, 0.0, False, False)
+        x_190 = None
+        x_192 = torch._C._nn.linear(
+            x_191,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_191 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_192,)
diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/weight_meta.py b/samples/timm/fastvit_t12.apple_dist_in1k/weight_meta.py
new file mode 100644
index 000000000..02bc92658
--- /dev/null
+++ b/samples/timm/fastvit_t12.apple_dist_in1k/weight_meta.py
@@ -0,0 +1,4532 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [64, 3, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.348
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.227
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [64, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.109
+    std = 0.588
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stem_modules_2_modules_identity_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_identity_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_parameters_bias_:
+    name = "L_self_modules_stem_modules_2_modules_identity_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [64, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.079
+    std = 0.509
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.199
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [64, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [192, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [64, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [64, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.118
+    std = 0.591
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.020
+    std = 0.184
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [64, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [192, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [64, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_"
+    shape = [128, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [128, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.043
+    std = 0.555
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.194
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [128, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [384, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [128, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.075
+    std = 0.537
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.194
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [128, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [384, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.038
+    std = 0.583
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.573
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.022
+    std = 0.585
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.016
+    std = 0.580
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.195
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.030
+    std = 0.621
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [256, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.031
+    std = 0.573
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_"
+    shape = [256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [512, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.566
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [512, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.571
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_:
+    name = (
+        "L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_"
+    )
+    shape = [1024, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.589
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = (
+        "L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = (
+        "L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_"
+    shape = [64, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_"
+    shape = [1024, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fastvit_t8.apple_dist_in1k/graph_hash.txt b/samples/timm/fastvit_t8.apple_dist_in1k/graph_hash.txt
new file mode 100644
index 000000000..48b3857c4
--- /dev/null
+++ b/samples/timm/fastvit_t8.apple_dist_in1k/graph_hash.txt
@@ -0,0 +1 @@
+bf31c82e6ddde65d761e0593198d973dce4801143d4565af96a49a19d6329b66
\ No newline at end of file
diff --git a/samples/timm/fastvit_t8.apple_dist_in1k/graph_net.json b/samples/timm/fastvit_t8.apple_dist_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fastvit_t8.apple_dist_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fastvit_t8.apple_dist_in1k/input_meta.py b/samples/timm/fastvit_t8.apple_dist_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fastvit_t8.apple_dist_in1k/input_tensor_constraints.py b/samples/timm/fastvit_t8.apple_dist_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fastvit_t8.apple_dist_in1k/model.py b/samples/timm/fastvit_t8.apple_dist_in1k/model.py
new file mode 100644
index 000000000..f698978f3
--- /dev/null
+++ b/samples/timm/fastvit_t8.apple_dist_in1k/model.py
@@ -0,0 +1,2733 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
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+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_
+        l_x_ = L_x_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_ = (
+            L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_2_modules_identity_buffers_running_var_ = (
+            L_self_modules_stem_modules_2_modules_identity_buffers_running_var_
+        )
+        l_self_modules_stem_modules_2_modules_identity_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_identity_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_identity_parameters_bias_ = (
+            L_self_modules_stem_modules_2_modules_identity_parameters_bias_
+        )
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_ = (
+            L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_
+        )
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_
+        l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_
+        l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_ = (
+            L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_ = (
+            L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_
+        )
+        l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_ = (
+            L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_ = (
+            L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_ = (
+            l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_
+        ) = None
+        out = x_1 + 0
+        x_1 = None
+        x_2 = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_3 = torch.nn.functional.batch_norm(
+            x_2,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_2 = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out += x_3
+        out_1 = out
+        out = x_3 = None
+        input_1 = torch._C._nn.gelu(out_1, approximate="none")
+        out_1 = None
+        x_4 = torch.conv2d(
+            input_1,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            48,
+        )
+        l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_5 = torch.nn.functional.batch_norm(
+            x_4,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_4 = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_ = (
+            l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_
+        ) = None
+        out_2 = x_5 + 0
+        x_5 = None
+        x_6 = torch.conv2d(
+            input_1,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        input_1 = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_2 += x_7
+        out_3 = out_2
+        out_2 = x_7 = None
+        input_2 = torch._C._nn.gelu(out_3, approximate="none")
+        out_3 = None
+        identity_out = torch.nn.functional.batch_norm(
+            input_2,
+            l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_,
+            l_self_modules_stem_modules_2_modules_identity_buffers_running_var_,
+            l_self_modules_stem_modules_2_modules_identity_parameters_weight_,
+            l_self_modules_stem_modules_2_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_ = (
+            l_self_modules_stem_modules_2_modules_identity_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_2_modules_identity_parameters_weight_
+        ) = l_self_modules_stem_modules_2_modules_identity_parameters_bias_ = None
+        out_4 = 0 + identity_out
+        identity_out = None
+        x_8 = torch.conv2d(
+            input_2,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_2 = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_4 += x_9
+        out_5 = out_4
+        out_4 = x_9 = None
+        input_3 = torch._C._nn.gelu(out_5, approximate="none")
+        out_5 = None
+        identity_out_1 = torch.nn.functional.batch_norm(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_10 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            48,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_11 = torch.nn.functional.batch_norm(
+            x_10,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_10 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_6 = x_11 + identity_out_1
+        x_11 = identity_out_1 = None
+        x_12 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_6 += x_13
+        out_7 = out_6
+        out_6 = x_13 = None
+        identity_out_2 = torch.nn.functional.batch_norm(
+            input_3,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_8 = 0 + identity_out_2
+        identity_out_2 = None
+        sub = out_7 - out_8
+        out_7 = out_8 = None
+        mul = (
+            sub
+            * l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_14 = input_3 + mul
+        input_3 = mul = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            48,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_16 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_18 = torch._C._nn.gelu(x_17, approximate="none")
+        x_17 = None
+        x_19 = torch.nn.functional.dropout(x_18, 0.0, False, False)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_21 = torch.nn.functional.dropout(x_20, 0.0, False, False)
+        x_20 = None
+        mul_1 = (
+            x_21
+            * l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_21 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_22 = x_14 + mul_1
+        x_14 = mul_1 = None
+        identity_out_3 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            48,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_9 = x_24 + identity_out_3
+        x_24 = identity_out_3 = None
+        x_25 = torch.conv2d(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_9 += x_26
+        out_10 = out_9
+        out_9 = x_26 = None
+        identity_out_4 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_11 = 0 + identity_out_4
+        identity_out_4 = None
+        sub_1 = out_10 - out_11
+        out_10 = out_11 = None
+        mul_2 = (
+            sub_1
+            * l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_1 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_27 = x_22 + mul_2
+        x_22 = mul_2 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            48,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_29 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_31 = torch._C._nn.gelu(x_30, approximate="none")
+        x_30 = None
+        x_32 = torch.nn.functional.dropout(x_31, 0.0, False, False)
+        x_31 = None
+        x_33 = torch.conv2d(
+            x_32,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_34 = torch.nn.functional.dropout(x_33, 0.0, False, False)
+        x_33 = None
+        mul_3 = (
+            x_34
+            * l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_34 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_35 = x_27 + mul_3
+        x_27 = mul_3 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            48,
+        )
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        x_35 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None)
+        out_12 = x_37 + x_39
+        x_37 = x_39 = None
+        identity_out_5 = torch.nn.functional.batch_norm(
+            out_12,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None)
+        out_13 = 0 + identity_out_5
+        identity_out_5 = None
+        x_40 = torch.conv2d(
+            out_12,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_12 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_13 += x_41
+        out_14 = out_13
+        out_13 = x_41 = None
+        input_4 = torch._C._nn.gelu(out_14, approximate="none")
+        out_14 = None
+        identity_out_6 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_42 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            96,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_15 = x_43 + identity_out_6
+        x_43 = identity_out_6 = None
+        x_44 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_15 += x_45
+        out_16 = out_15
+        out_15 = x_45 = None
+        identity_out_7 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_17 = 0 + identity_out_7
+        identity_out_7 = None
+        sub_2 = out_16 - out_17
+        out_16 = out_17 = None
+        mul_4 = (
+            sub_2
+            * l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_46 = input_4 + mul_4
+        input_4 = mul_4 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            96,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_50 = torch._C._nn.gelu(x_49, approximate="none")
+        x_49 = None
+        x_51 = torch.nn.functional.dropout(x_50, 0.0, False, False)
+        x_50 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_53 = torch.nn.functional.dropout(x_52, 0.0, False, False)
+        x_52 = None
+        mul_5 = (
+            x_53
+            * l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_53 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_54 = x_46 + mul_5
+        x_46 = mul_5 = None
+        identity_out_8 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            96,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_18 = x_56 + identity_out_8
+        x_56 = identity_out_8 = None
+        x_57 = torch.conv2d(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_18 += x_58
+        out_19 = out_18
+        out_18 = x_58 = None
+        identity_out_9 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_20 = 0 + identity_out_9
+        identity_out_9 = None
+        sub_3 = out_19 - out_20
+        out_19 = out_20 = None
+        mul_6 = (
+            sub_3
+            * l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_3 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_59 = x_54 + mul_6
+        x_54 = mul_6 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            96,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_61 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_63 = torch._C._nn.gelu(x_62, approximate="none")
+        x_62 = None
+        x_64 = torch.nn.functional.dropout(x_63, 0.0, False, False)
+        x_63 = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.dropout(x_65, 0.0, False, False)
+        x_65 = None
+        mul_7 = (
+            x_66
+            * l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_66 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_67 = x_59 + mul_7
+        x_59 = mul_7 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            96,
+        )
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.conv2d(
+            x_67,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        x_67 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None)
+        out_21 = x_69 + x_71
+        x_69 = x_71 = None
+        identity_out_10 = torch.nn.functional.batch_norm(
+            out_21,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None)
+        out_22 = 0 + identity_out_10
+        identity_out_10 = None
+        x_72 = torch.conv2d(
+            out_21,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_21 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_22 += x_73
+        out_23 = out_22
+        out_22 = x_73 = None
+        input_5 = torch._C._nn.gelu(out_23, approximate="none")
+        out_23 = None
+        identity_out_11 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_74 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_24 = x_75 + identity_out_11
+        x_75 = identity_out_11 = None
+        x_76 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_24 += x_77
+        out_25 = out_24
+        out_24 = x_77 = None
+        identity_out_12 = torch.nn.functional.batch_norm(
+            input_5,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_26 = 0 + identity_out_12
+        identity_out_12 = None
+        sub_4 = out_25 - out_26
+        out_25 = out_26 = None
+        mul_8 = (
+            sub_4
+            * l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_4 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_78 = input_5 + mul_8
+        input_5 = mul_8 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_82 = torch._C._nn.gelu(x_81, approximate="none")
+        x_81 = None
+        x_83 = torch.nn.functional.dropout(x_82, 0.0, False, False)
+        x_82 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_83 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_85 = torch.nn.functional.dropout(x_84, 0.0, False, False)
+        x_84 = None
+        mul_9 = (
+            x_85
+            * l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_85 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_86 = x_78 + mul_9
+        x_78 = mul_9 = None
+        identity_out_13 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_27 = x_88 + identity_out_13
+        x_88 = identity_out_13 = None
+        x_89 = torch.conv2d(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_27 += x_90
+        out_28 = out_27
+        out_27 = x_90 = None
+        identity_out_14 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_29 = 0 + identity_out_14
+        identity_out_14 = None
+        sub_5 = out_28 - out_29
+        out_28 = out_29 = None
+        mul_10 = (
+            sub_5
+            * l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_5 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_91 = x_86 + mul_10
+        x_86 = mul_10 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_95 = torch._C._nn.gelu(x_94, approximate="none")
+        x_94 = None
+        x_96 = torch.nn.functional.dropout(x_95, 0.0, False, False)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.dropout(x_97, 0.0, False, False)
+        x_97 = None
+        mul_11 = (
+            x_98
+            * l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_98 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_99 = x_91 + mul_11
+        x_91 = mul_11 = None
+        identity_out_15 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_30 = x_101 + identity_out_15
+        x_101 = identity_out_15 = None
+        x_102 = torch.conv2d(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_30 += x_103
+        out_31 = out_30
+        out_30 = x_103 = None
+        identity_out_16 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_32 = 0 + identity_out_16
+        identity_out_16 = None
+        sub_6 = out_31 - out_32
+        out_31 = out_32 = None
+        mul_12 = (
+            sub_6
+            * l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_6 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_104 = x_99 + mul_12
+        x_99 = mul_12 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_108 = torch._C._nn.gelu(x_107, approximate="none")
+        x_107 = None
+        x_109 = torch.nn.functional.dropout(x_108, 0.0, False, False)
+        x_108 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_109 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_111 = torch.nn.functional.dropout(x_110, 0.0, False, False)
+        x_110 = None
+        mul_13 = (
+            x_111
+            * l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_
+        )
+        x_111 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_ = (None)
+        x_112 = x_104 + mul_13
+        x_104 = mul_13 = None
+        identity_out_17 = torch.nn.functional.batch_norm(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_33 = x_114 + identity_out_17
+        x_114 = identity_out_17 = None
+        x_115 = torch.conv2d(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_116 = torch.nn.functional.batch_norm(
+            x_115,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_115 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_33 += x_116
+        out_34 = out_33
+        out_33 = x_116 = None
+        identity_out_18 = torch.nn.functional.batch_norm(
+            x_112,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_35 = 0 + identity_out_18
+        identity_out_18 = None
+        sub_7 = out_34 - out_35
+        out_34 = out_35 = None
+        mul_14 = (
+            sub_7
+            * l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_7 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_117 = x_112 + mul_14
+        x_112 = mul_14 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_119 = torch.nn.functional.batch_norm(
+            x_118,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_118 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_119 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_121 = torch._C._nn.gelu(x_120, approximate="none")
+        x_120 = None
+        x_122 = torch.nn.functional.dropout(x_121, 0.0, False, False)
+        x_121 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.dropout(x_123, 0.0, False, False)
+        x_123 = None
+        mul_15 = (
+            x_124
+            * l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_
+        )
+        x_124 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_ = (None)
+        x_125 = x_117 + mul_15
+        x_117 = mul_15 = None
+        x_126 = torch.conv2d(
+            x_125,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_127 = torch.nn.functional.batch_norm(
+            x_126,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_126 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None)
+        x_128 = torch.conv2d(
+            x_125,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        x_125 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None)
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None)
+        out_36 = x_127 + x_129
+        x_127 = x_129 = None
+        identity_out_19 = torch.nn.functional.batch_norm(
+            out_36,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None)
+        out_37 = 0 + identity_out_19
+        identity_out_19 = None
+        x_130 = torch.conv2d(
+            out_36,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        out_36 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_37 += x_131
+        out_38 = out_37
+        out_37 = x_131 = None
+        input_6 = torch._C._nn.gelu(out_38, approximate="none")
+        out_38 = None
+        identity_out_20 = torch.nn.functional.batch_norm(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_132 = torch.conv2d(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            384,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_133 = torch.nn.functional.batch_norm(
+            x_132,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_132 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_39 = x_133 + identity_out_20
+        x_133 = identity_out_20 = None
+        x_134 = torch.conv2d(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_135 = torch.nn.functional.batch_norm(
+            x_134,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_134 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_39 += x_135
+        out_40 = out_39
+        out_39 = x_135 = None
+        identity_out_21 = torch.nn.functional.batch_norm(
+            input_6,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_41 = 0 + identity_out_21
+        identity_out_21 = None
+        sub_8 = out_40 - out_41
+        out_40 = out_41 = None
+        mul_16 = (
+            sub_8
+            * l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_8 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_136 = input_6 + mul_16
+        input_6 = mul_16 = None
+        x_137 = torch.conv2d(
+            x_136,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_138 = torch.nn.functional.batch_norm(
+            x_137,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_137 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_138 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_140 = torch._C._nn.gelu(x_139, approximate="none")
+        x_139 = None
+        x_141 = torch.nn.functional.dropout(x_140, 0.0, False, False)
+        x_140 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_141 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_143 = torch.nn.functional.dropout(x_142, 0.0, False, False)
+        x_142 = None
+        mul_17 = (
+            x_143
+            * l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_
+        )
+        x_143 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None)
+        x_144 = x_136 + mul_17
+        x_136 = mul_17 = None
+        identity_out_22 = torch.nn.functional.batch_norm(
+            x_144,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None)
+        x_145 = torch.conv2d(
+            x_144,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            384,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_146 = torch.nn.functional.batch_norm(
+            x_145,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_145 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None)
+        out_42 = x_146 + identity_out_22
+        x_146 = identity_out_22 = None
+        x_147 = torch.conv2d(
+            x_144,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_148 = torch.nn.functional.batch_norm(
+            x_147,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_147 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_42 += x_148
+        out_43 = out_42
+        out_42 = x_148 = None
+        identity_out_23 = torch.nn.functional.batch_norm(
+            x_144,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None)
+        out_44 = 0 + identity_out_23
+        identity_out_23 = None
+        sub_9 = out_43 - out_44
+        out_43 = out_44 = None
+        mul_18 = (
+            sub_9
+            * l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_
+        )
+        sub_9 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None)
+        x_149 = x_144 + mul_18
+        x_144 = mul_18 = None
+        x_150 = torch.conv2d(
+            x_149,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_151 = torch.nn.functional.batch_norm(
+            x_150,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_150 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None)
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_153 = torch._C._nn.gelu(x_152, approximate="none")
+        x_152 = None
+        x_154 = torch.nn.functional.dropout(x_153, 0.0, False, False)
+        x_153 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_154 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_156 = torch.nn.functional.dropout(x_155, 0.0, False, False)
+        x_155 = None
+        mul_19 = (
+            x_156
+            * l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_
+        )
+        x_156 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None)
+        x_157 = x_149 + mul_19
+        x_149 = mul_19 = None
+        x_158 = torch.conv2d(
+            x_157,
+            l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            384,
+        )
+        l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_159 = torch.nn.functional.batch_norm(
+            x_158,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_,
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_158 = l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_ = (
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_
+        ) = None
+        out_45 = x_159 + 0
+        x_159 = None
+        x_160 = torch.conv2d(
+            x_157,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        x_157 = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None)
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None)
+        out_45 += x_161
+        out_46 = out_45
+        out_45 = x_161 = None
+        x_se = out_46.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_,
+            l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = (
+            l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_
+        ) = l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_ = None
+        x_se_2 = torch.nn.functional.relu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_,
+            l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = (
+            l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_
+        ) = l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_ = None
+        sigmoid = x_se_3.sigmoid()
+        x_se_3 = None
+        mul_20 = out_46 * sigmoid
+        out_46 = sigmoid = None
+        x_162 = torch._C._nn.gelu(mul_20, approximate="none")
+        mul_20 = None
+        x_163 = torch.nn.functional.adaptive_avg_pool2d(x_162, 1)
+        x_162 = None
+        x_164 = x_163.flatten(1, -1)
+        x_163 = None
+        x_165 = torch.nn.functional.dropout(x_164, 0.0, False, False)
+        x_164 = None
+        x_166 = torch._C._nn.linear(
+            x_165,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_165 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_166,)
diff --git a/samples/timm/fastvit_t8.apple_dist_in1k/weight_meta.py b/samples/timm/fastvit_t8.apple_dist_in1k/weight_meta.py
new file mode 100644
index 000000000..520561a6a
--- /dev/null
+++ b/samples/timm/fastvit_t8.apple_dist_in1k/weight_meta.py
@@ -0,0 +1,3952 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [48, 3, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.053
+    std = 0.330
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.230
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_"
+    )
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_"
+    )
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [48, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [48, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.080
+    std = 0.542
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_:
+    name = (
+        "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_"
+    )
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_"
+    )
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [48, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stem_modules_2_modules_identity_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_identity_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_parameters_bias_:
+    name = "L_self_modules_stem_modules_2_modules_identity_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [48, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [48, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.062
+    std = 0.538
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [48, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [48, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [144, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [48, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [48, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.026
+    std = 0.586
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [48, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.187
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [48, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [144, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [48, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_"
+    shape = [96, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.188
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [96, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.078
+    std = 0.610
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.011
+    std = 0.187
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [96, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [288, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [96, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [96, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.044
+    std = 0.579
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [96, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [288, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [96, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.194
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [192, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.540
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [576, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [192, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.024
+    std = 0.536
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [576, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [192, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.015
+    std = 0.590
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [576, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_"
+    shape = [192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [192, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.096
+    std = 0.583
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.195
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [576, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_"
+    shape = [192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [384, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.017
+    std = 0.600
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.194
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1152, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_"
+    shape = [384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_"
+    shape = [384, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.594
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_"
+    shape = [384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1152, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_"
+    shape = [384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_:
+    name = (
+        "L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_"
+    )
+    shape = [768, 1, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.566
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_:
+    name = (
+        "L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_:
+    name = (
+        "L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_"
+    shape = [48, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_"
+    shape = [768, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fbnetc_100.rmsp_in1k/graph_hash.txt b/samples/timm/fbnetc_100.rmsp_in1k/graph_hash.txt
new file mode 100644
index 000000000..e15526939
--- /dev/null
+++ b/samples/timm/fbnetc_100.rmsp_in1k/graph_hash.txt
@@ -0,0 +1 @@
+e0bec3ee03f499d3578f3571ddd6f09ab4283db0c84458ca793e3fe46cd31aca
\ No newline at end of file
diff --git a/samples/timm/fbnetc_100.rmsp_in1k/graph_net.json b/samples/timm/fbnetc_100.rmsp_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fbnetc_100.rmsp_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fbnetc_100.rmsp_in1k/input_meta.py b/samples/timm/fbnetc_100.rmsp_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fbnetc_100.rmsp_in1k/input_tensor_constraints.py b/samples/timm/fbnetc_100.rmsp_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fbnetc_100.rmsp_in1k/model.py b/samples/timm/fbnetc_100.rmsp_in1k/model.py
new file mode 100644
index 000000000..0ae055450
--- /dev/null
+++ b/samples/timm/fbnetc_100.rmsp_in1k/model.py
@@ -0,0 +1,3364 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_bn2_buffers_running_var_ = (
+            L_self_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_bn2_parameters_weight_ = L_self_modules_bn2_parameters_weight_
+        l_self_modules_bn2_parameters_bias_ = L_self_modules_bn2_parameters_bias_
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            16,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_11 = x_10 + x_2
+        x_10 = x_2 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_17 = torch.nn.functional.relu(x_16, inplace=True)
+        x_16 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_22 = torch.nn.functional.relu(x_21, inplace=True)
+        x_21 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            24,
+        )
+        x_22 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_25 = torch.nn.functional.relu(x_24, inplace=True)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_28 = x_27 + x_19
+        x_27 = x_19 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_30 = torch.nn.functional.batch_norm(
+            x_29,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_31 = torch.nn.functional.relu(x_30, inplace=True)
+        x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            24,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_34 = torch.nn.functional.relu(x_33, inplace=True)
+        x_33 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_34 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_37 = x_36 + x_28
+        x_36 = x_28 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_40 = torch.nn.functional.relu(x_39, inplace=True)
+        x_39 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            144,
+        )
+        x_40 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_42 = torch.nn.functional.batch_norm(
+            x_41,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_41 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_43 = torch.nn.functional.relu(x_42, inplace=True)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_51 = torch.nn.functional.relu(x_50, inplace=True)
+        x_50 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_54 = x_53 + x_45
+        x_53 = x_45 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_57 = torch.nn.functional.relu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_63 = x_62 + x_54
+        x_62 = x_54 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_66 = torch.nn.functional.relu(x_65, inplace=True)
+        x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_69 = torch.nn.functional.relu(x_68, inplace=True)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_69 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_72 = x_71 + x_63
+        x_71 = x_63 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_75 = torch.nn.functional.relu(x_74, inplace=True)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_78 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_82 = torch.nn.functional.batch_norm(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_83 = torch.nn.functional.relu(x_82, inplace=True)
+        x_82 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_86 = torch.nn.functional.relu(x_85, inplace=True)
+        x_85 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_89 = x_88 + x_80
+        x_88 = x_80 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_92 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_94 = torch.nn.functional.batch_norm(
+            x_93,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_95 = torch.nn.functional.relu(x_94, inplace=True)
+        x_94 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_95 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_98 = x_97 + x_89
+        x_97 = x_89 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_100 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_99 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_101 = torch.nn.functional.relu(x_100, inplace=True)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_101 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_104 = torch.nn.functional.relu(x_103, inplace=True)
+        x_103 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_107 = x_106 + x_98
+        x_106 = x_98 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_110 = torch.nn.functional.relu(x_109, inplace=True)
+        x_109 = None
+        x_111 = torch.conv2d(
+            x_110,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_110 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_112 = torch.nn.functional.batch_norm(
+            x_111,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_113 = torch.nn.functional.relu(x_112, inplace=True)
+        x_112 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_113 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_121 = torch.nn.functional.relu(x_120, inplace=True)
+        x_120 = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_121 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_123 = torch.nn.functional.batch_norm(
+            x_122,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_124 = x_123 + x_115
+        x_123 = x_115 = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_127 = torch.nn.functional.relu(x_126, inplace=True)
+        x_126 = None
+        x_128 = torch.conv2d(
+            x_127,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_130 = torch.nn.functional.relu(x_129, inplace=True)
+        x_129 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_133 = x_132 + x_124
+        x_132 = x_124 = None
+        x_134 = torch.conv2d(
+            x_133,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_135 = torch.nn.functional.batch_norm(
+            x_134,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_134 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_136 = torch.nn.functional.relu(x_135, inplace=True)
+        x_135 = None
+        x_137 = torch.conv2d(
+            x_136,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            336,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_138 = torch.nn.functional.batch_norm(
+            x_137,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_137 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_139 = torch.nn.functional.relu(x_138, inplace=True)
+        x_138 = None
+        x_140 = torch.conv2d(
+            x_139,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_139 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_141 = torch.nn.functional.batch_norm(
+            x_140,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_142 = x_141 + x_133
+        x_141 = x_133 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.relu(x_144, inplace=True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_151 = torch.conv2d(
+            x_150,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_152 = torch.nn.functional.batch_norm(
+            x_151,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_151 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_153 = torch.nn.functional.relu(x_152, inplace=True)
+        x_152 = None
+        x_154 = torch.conv2d(
+            x_153,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1104,
+        )
+        x_153 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_155 = torch.nn.functional.batch_norm(
+            x_154,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_156 = torch.nn.functional.relu(x_155, inplace=True)
+        x_155 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_156 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_159 = x_158 + x_150
+        x_158 = x_150 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_162 = torch.nn.functional.relu(x_161, inplace=True)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1104,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_165 = torch.nn.functional.relu(x_164, inplace=True)
+        x_164 = None
+        x_166 = torch.conv2d(
+            x_165,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_165 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_167 = torch.nn.functional.batch_norm(
+            x_166,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_166 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_168 = x_167 + x_159
+        x_167 = x_159 = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_170 = torch.nn.functional.batch_norm(
+            x_169,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_169 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_171 = torch.nn.functional.relu(x_170, inplace=True)
+        x_170 = None
+        x_172 = torch.conv2d(
+            x_171,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1104,
+        )
+        x_171 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_173 = torch.nn.functional.batch_norm(
+            x_172,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_172 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_174 = torch.nn.functional.relu(x_173, inplace=True)
+        x_173 = None
+        x_175 = torch.conv2d(
+            x_174,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_174 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_176 = torch.nn.functional.batch_norm(
+            x_175,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_175 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_177 = x_176 + x_168
+        x_176 = x_168 = None
+        x_178 = torch.conv2d(
+            x_177,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_177 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_179 = torch.nn.functional.batch_norm(
+            x_178,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_178 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_180 = torch.nn.functional.relu(x_179, inplace=True)
+        x_179 = None
+        x_181 = torch.conv2d(
+            x_180,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1104,
+        )
+        x_180 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_182 = torch.nn.functional.batch_norm(
+            x_181,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_181 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_183 = torch.nn.functional.relu(x_182, inplace=True)
+        x_182 = None
+        x_184 = torch.conv2d(
+            x_183,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_183 = l_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_185 = torch.nn.functional.batch_norm(
+            x_184,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_184 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_186 = torch.conv2d(
+            x_185,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_185 = l_self_modules_conv_head_parameters_weight_ = None
+        x_187 = torch.nn.functional.batch_norm(
+            x_186,
+            l_self_modules_bn2_buffers_running_mean_,
+            l_self_modules_bn2_buffers_running_var_,
+            l_self_modules_bn2_parameters_weight_,
+            l_self_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_186 = (
+            l_self_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_bn2_parameters_weight_
+        ) = l_self_modules_bn2_parameters_bias_ = None
+        x_188 = torch.nn.functional.relu(x_187, inplace=True)
+        x_187 = None
+        x_189 = torch.nn.functional.adaptive_avg_pool2d(x_188, 1)
+        x_188 = None
+        x_190 = x_189.flatten(1, -1)
+        x_189 = None
+        x_191 = torch._C._nn.linear(
+            x_190,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_190 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_191,)
diff --git a/samples/timm/fbnetc_100.rmsp_in1k/weight_meta.py b/samples/timm/fbnetc_100.rmsp_in1k/weight_meta.py
new file mode 100644
index 000000000..926f4d8e9
--- /dev/null
+++ b/samples/timm/fbnetc_100.rmsp_in1k/weight_meta.py
@@ -0,0 +1,3414 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [16, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.227
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.023
+    std = 0.345
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [16, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.051
+    std = 0.385
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [16, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.020
+    std = 0.355
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn3_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn3_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [96, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.143
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.456
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [24, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.029
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.028
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [24, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.047
+    std = 0.453
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.278
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.116
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.292
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.248
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [96, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.146
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.256
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.013
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [32, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.248
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.103
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [192, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.103
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.179
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [64, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [184, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1104, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1104, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [184, 1104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1104, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1104, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [184, 1104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1104, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1104, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [184, 1104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1104, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1104, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_buffers_running_var_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_weight_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn2_parameters_bias_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_6_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [352, 1104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.076
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_buffers_running_var_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn3_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1984, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_bn2_buffers_running_mean_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_bn2_buffers_running_var_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_weight_:
+    name = "L_self_modules_bn2_parameters_weight_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn2_parameters_bias_:
+    name = "L_self_modules_bn2_parameters_bias_"
+    shape = [1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fbnetv3_b.ra2_in1k/graph_hash.txt b/samples/timm/fbnetv3_b.ra2_in1k/graph_hash.txt
new file mode 100644
index 000000000..a311bdb76
--- /dev/null
+++ b/samples/timm/fbnetv3_b.ra2_in1k/graph_hash.txt
@@ -0,0 +1 @@
+19a3beb0c0c17b9172438e43ae59a2e4de02a934a0a2784029b68bc824dbce58
\ No newline at end of file
diff --git a/samples/timm/fbnetv3_b.ra2_in1k/graph_net.json b/samples/timm/fbnetv3_b.ra2_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fbnetv3_b.ra2_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fbnetv3_b.ra2_in1k/input_meta.py b/samples/timm/fbnetv3_b.ra2_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fbnetv3_b.ra2_in1k/input_tensor_constraints.py b/samples/timm/fbnetv3_b.ra2_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fbnetv3_b.ra2_in1k/model.py b/samples/timm/fbnetv3_b.ra2_in1k/model.py
new file mode 100644
index 000000000..5d0e2a2c6
--- /dev/null
+++ b/samples/timm/fbnetv3_b.ra2_in1k/model.py
@@ -0,0 +1,5160 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
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+        L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.hardswish(x_1, True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            16,
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.hardswish(x_4, True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = x_7 + x_2
+        x_7 = x_2 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            16,
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_11 = torch.nn.functional.hardswish(x_10, True)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        ) = None
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_12 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_14 = x_13 + x_8
+        x_13 = x_8 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_17 = torch.nn.functional.hardswish(x_16, True)
+        x_16 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            64,
+        )
+        x_17 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_20 = torch.nn.functional.hardswish(x_19, True)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_21 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_25 = torch.nn.functional.hardswish(x_24, True)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            48,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_28 = torch.nn.functional.hardswish(x_27, True)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_30 = torch.nn.functional.batch_norm(
+            x_29,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_31 = x_30 + x_22
+        x_30 = x_22 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_34 = torch.nn.functional.hardswish(x_33, True)
+        x_33 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            48,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_37 = torch.nn.functional.hardswish(x_36, True)
+        x_36 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_37 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_40 = x_39 + x_31
+        x_39 = x_31 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_42 = torch.nn.functional.batch_norm(
+            x_41,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_41 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_43 = torch.nn.functional.hardswish(x_42, True)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            48,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_46 = torch.nn.functional.hardswish(x_45, True)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_46 = l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_49 = x_48 + x_40
+        x_48 = x_40 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_52 = torch.nn.functional.hardswish(x_51, True)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            120,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.hardswish(x_54, True)
+        x_54 = None
+        x_se = x_55.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.hardswish(x_se_1, True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_56 = x_55 * hardsigmoid
+        x_55 = hardsigmoid = None
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_60 = torch.nn.functional.batch_norm(
+            x_59,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.hardswish(x_60, True)
+        x_60 = None
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            120,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_64 = torch.nn.functional.hardswish(x_63, True)
+        x_63 = None
+        x_se_4 = x_64.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.hardswish(x_se_5, True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_65 = x_64 * hardsigmoid_1
+        x_64 = hardsigmoid_1 = None
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_65 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_68 = x_67 + x_58
+        x_67 = x_58 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_71 = torch.nn.functional.hardswish(x_70, True)
+        x_70 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            120,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_74 = torch.nn.functional.hardswish(x_73, True)
+        x_73 = None
+        x_se_8 = x_74.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.hardswish(x_se_9, True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_11, False)
+        x_se_11 = None
+        x_75 = x_74 * hardsigmoid_2
+        x_74 = hardsigmoid_2 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_78 = x_77 + x_68
+        x_77 = x_68 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.hardswish(x_80, True)
+        x_80 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            120,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_84 = torch.nn.functional.hardswish(x_83, True)
+        x_83 = None
+        x_se_12 = x_84.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.hardswish(x_se_13, True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_15, False)
+        x_se_15 = None
+        x_85 = x_84 * hardsigmoid_3
+        x_84 = hardsigmoid_3 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_85 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_88 = x_87 + x_78
+        x_87 = x_78 = None
+        x_89 = torch.conv2d(
+            x_88,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_91 = torch.nn.functional.hardswish(x_90, True)
+        x_90 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            120,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_94 = torch.nn.functional.hardswish(x_93, True)
+        x_93 = None
+        x_se_16 = x_94.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.hardswish(x_se_17, True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_4 = torch.nn.functional.hardsigmoid(x_se_19, False)
+        x_se_19 = None
+        x_95 = x_94 * hardsigmoid_4
+        x_94 = hardsigmoid_4 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_95 = l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_98 = x_97 + x_88
+        x_97 = x_88 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_100 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_99 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_101 = torch.nn.functional.hardswish(x_100, True)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            200,
+        )
+        x_101 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_104 = torch.nn.functional.hardswish(x_103, True)
+        x_103 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_109 = torch.nn.functional.hardswish(x_108, True)
+        x_108 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            216,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_112 = torch.nn.functional.hardswish(x_111, True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_115 = x_114 + x_106
+        x_114 = x_106 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_118 = torch.nn.functional.hardswish(x_117, True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            216,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_121 = torch.nn.functional.hardswish(x_120, True)
+        x_120 = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_121 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_123 = torch.nn.functional.batch_norm(
+            x_122,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_124 = x_123 + x_115
+        x_123 = x_115 = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_127 = torch.nn.functional.hardswish(x_126, True)
+        x_126 = None
+        x_128 = torch.conv2d(
+            x_127,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            216,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_130 = torch.nn.functional.hardswish(x_129, True)
+        x_129 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_133 = x_132 + x_124
+        x_132 = x_124 = None
+        x_134 = torch.conv2d(
+            x_133,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_135 = torch.nn.functional.batch_norm(
+            x_134,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_134 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_136 = torch.nn.functional.hardswish(x_135, True)
+        x_135 = None
+        x_137 = torch.conv2d(
+            x_136,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            216,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_138 = torch.nn.functional.batch_norm(
+            x_137,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_137 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_139 = torch.nn.functional.hardswish(x_138, True)
+        x_138 = None
+        x_140 = torch.conv2d(
+            x_139,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_139 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_141 = torch.nn.functional.batch_norm(
+            x_140,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_142 = x_141 + x_133
+        x_141 = x_133 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.hardswish(x_144, True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            360,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_148 = torch.nn.functional.hardswish(x_147, True)
+        x_147 = None
+        x_se_20 = x_148.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.hardswish(x_se_21, True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_5 = torch.nn.functional.hardsigmoid(x_se_23, False)
+        x_se_23 = None
+        x_149 = x_148 * hardsigmoid_5
+        x_148 = hardsigmoid_5 = None
+        x_150 = torch.conv2d(
+            x_149,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_149 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_151 = torch.nn.functional.batch_norm(
+            x_150,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_154 = torch.nn.functional.hardswish(x_153, True)
+        x_153 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            360,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_156 = torch.nn.functional.batch_norm(
+            x_155,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_157 = torch.nn.functional.hardswish(x_156, True)
+        x_156 = None
+        x_se_24 = x_157.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.hardswish(x_se_25, True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_6 = torch.nn.functional.hardsigmoid(x_se_27, False)
+        x_se_27 = None
+        x_158 = x_157 * hardsigmoid_6
+        x_157 = hardsigmoid_6 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_160 = torch.nn.functional.batch_norm(
+            x_159,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_159 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_161 = x_160 + x_151
+        x_160 = x_151 = None
+        x_162 = torch.conv2d(
+            x_161,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_163 = torch.nn.functional.batch_norm(
+            x_162,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_164 = torch.nn.functional.hardswish(x_163, True)
+        x_163 = None
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            360,
+        )
+        x_164 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_166 = torch.nn.functional.batch_norm(
+            x_165,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_165 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_167 = torch.nn.functional.hardswish(x_166, True)
+        x_166 = None
+        x_se_28 = x_167.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.hardswish(x_se_29, True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_7 = torch.nn.functional.hardsigmoid(x_se_31, False)
+        x_se_31 = None
+        x_168 = x_167 * hardsigmoid_7
+        x_167 = hardsigmoid_7 = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_168 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_170 = torch.nn.functional.batch_norm(
+            x_169,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_169 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_171 = x_170 + x_161
+        x_170 = x_161 = None
+        x_172 = torch.conv2d(
+            x_171,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_173 = torch.nn.functional.batch_norm(
+            x_172,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_172 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_174 = torch.nn.functional.hardswish(x_173, True)
+        x_173 = None
+        x_175 = torch.conv2d(
+            x_174,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            360,
+        )
+        x_174 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_176 = torch.nn.functional.batch_norm(
+            x_175,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_175 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_177 = torch.nn.functional.hardswish(x_176, True)
+        x_176 = None
+        x_se_32 = x_177.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.hardswish(x_se_33, True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_8 = torch.nn.functional.hardsigmoid(x_se_35, False)
+        x_se_35 = None
+        x_178 = x_177 * hardsigmoid_8
+        x_177 = hardsigmoid_8 = None
+        x_179 = torch.conv2d(
+            x_178,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_178 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_180 = torch.nn.functional.batch_norm(
+            x_179,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_179 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_181 = x_180 + x_171
+        x_180 = x_171 = None
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_183 = torch.nn.functional.batch_norm(
+            x_182,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_182 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_184 = torch.nn.functional.hardswish(x_183, True)
+        x_183 = None
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            360,
+        )
+        x_184 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_186 = torch.nn.functional.batch_norm(
+            x_185,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_185 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_187 = torch.nn.functional.hardswish(x_186, True)
+        x_186 = None
+        x_se_36 = x_187.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.hardswish(x_se_37, True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_9 = torch.nn.functional.hardsigmoid(x_se_39, False)
+        x_se_39 = None
+        x_188 = x_187 * hardsigmoid_9
+        x_187 = hardsigmoid_9 = None
+        x_189 = torch.conv2d(
+            x_188,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_188 = l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_190 = torch.nn.functional.batch_norm(
+            x_189,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_189 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_191 = x_190 + x_181
+        x_190 = x_181 = None
+        x_192 = torch.conv2d(
+            x_191,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_193 = torch.nn.functional.batch_norm(
+            x_192,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_192 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_194 = torch.nn.functional.hardswish(x_193, True)
+        x_193 = None
+        x_195 = torch.conv2d(
+            x_194,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            360,
+        )
+        x_194 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_196 = torch.nn.functional.batch_norm(
+            x_195,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_195 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_197 = torch.nn.functional.hardswish(x_196, True)
+        x_196 = None
+        x_se_40 = x_197.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.hardswish(x_se_41, True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_10 = torch.nn.functional.hardsigmoid(x_se_43, False)
+        x_se_43 = None
+        x_198 = x_197 * hardsigmoid_10
+        x_197 = hardsigmoid_10 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_198 = l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_200 = torch.nn.functional.batch_norm(
+            x_199,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_199 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_201 = x_200 + x_191
+        x_200 = x_191 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_201 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_203 = torch.nn.functional.batch_norm(
+            x_202,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_202 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_204 = torch.nn.functional.hardswish(x_203, True)
+        x_203 = None
+        x_205 = torch.conv2d(
+            x_204,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            720,
+        )
+        x_204 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_206 = torch.nn.functional.batch_norm(
+            x_205,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_205 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_207 = torch.nn.functional.hardswish(x_206, True)
+        x_206 = None
+        x_se_44 = x_207.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.hardswish(x_se_45, True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_11 = torch.nn.functional.hardsigmoid(x_se_47, False)
+        x_se_47 = None
+        x_208 = x_207 * hardsigmoid_11
+        x_207 = hardsigmoid_11 = None
+        x_209 = torch.conv2d(
+            x_208,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_208 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_210 = torch.nn.functional.batch_norm(
+            x_209,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_209 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_211 = torch.conv2d(
+            x_210,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_212 = torch.nn.functional.batch_norm(
+            x_211,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_211 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_213 = torch.nn.functional.hardswish(x_212, True)
+        x_212 = None
+        x_214 = torch.conv2d(
+            x_213,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            736,
+        )
+        x_213 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_215 = torch.nn.functional.batch_norm(
+            x_214,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_214 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_216 = torch.nn.functional.hardswish(x_215, True)
+        x_215 = None
+        x_se_48 = x_216.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.hardswish(x_se_49, True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_12 = torch.nn.functional.hardsigmoid(x_se_51, False)
+        x_se_51 = None
+        x_217 = x_216 * hardsigmoid_12
+        x_216 = hardsigmoid_12 = None
+        x_218 = torch.conv2d(
+            x_217,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_217 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_219 = torch.nn.functional.batch_norm(
+            x_218,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_218 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_220 = x_219 + x_210
+        x_219 = x_210 = None
+        x_221 = torch.conv2d(
+            x_220,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_222 = torch.nn.functional.batch_norm(
+            x_221,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_221 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_223 = torch.nn.functional.hardswish(x_222, True)
+        x_222 = None
+        x_224 = torch.conv2d(
+            x_223,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            736,
+        )
+        x_223 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_225 = torch.nn.functional.batch_norm(
+            x_224,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_224 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_226 = torch.nn.functional.hardswish(x_225, True)
+        x_225 = None
+        x_se_52 = x_226.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.hardswish(x_se_53, True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_13 = torch.nn.functional.hardsigmoid(x_se_55, False)
+        x_se_55 = None
+        x_227 = x_226 * hardsigmoid_13
+        x_226 = hardsigmoid_13 = None
+        x_228 = torch.conv2d(
+            x_227,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_227 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_229 = torch.nn.functional.batch_norm(
+            x_228,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_228 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_230 = x_229 + x_220
+        x_229 = x_220 = None
+        x_231 = torch.conv2d(
+            x_230,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_232 = torch.nn.functional.batch_norm(
+            x_231,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_231 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_233 = torch.nn.functional.hardswish(x_232, True)
+        x_232 = None
+        x_234 = torch.conv2d(
+            x_233,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            736,
+        )
+        x_233 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_235 = torch.nn.functional.batch_norm(
+            x_234,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_234 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_236 = torch.nn.functional.hardswish(x_235, True)
+        x_235 = None
+        x_se_56 = x_236.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.hardswish(x_se_57, True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_14 = torch.nn.functional.hardsigmoid(x_se_59, False)
+        x_se_59 = None
+        x_237 = x_236 * hardsigmoid_14
+        x_236 = hardsigmoid_14 = None
+        x_238 = torch.conv2d(
+            x_237,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_237 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_239 = torch.nn.functional.batch_norm(
+            x_238,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_238 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_240 = x_239 + x_230
+        x_239 = x_230 = None
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_242 = torch.nn.functional.batch_norm(
+            x_241,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_241 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_243 = torch.nn.functional.hardswish(x_242, True)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            736,
+        )
+        x_243 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_245 = torch.nn.functional.batch_norm(
+            x_244,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_244 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_246 = torch.nn.functional.hardswish(x_245, True)
+        x_245 = None
+        x_se_60 = x_246.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.hardswish(x_se_61, True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_15 = torch.nn.functional.hardsigmoid(x_se_63, False)
+        x_se_63 = None
+        x_247 = x_246 * hardsigmoid_15
+        x_246 = hardsigmoid_15 = None
+        x_248 = torch.conv2d(
+            x_247,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_247 = l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_249 = torch.nn.functional.batch_norm(
+            x_248,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_248 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_250 = x_249 + x_240
+        x_249 = x_240 = None
+        x_251 = torch.conv2d(
+            x_250,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_252 = torch.nn.functional.batch_norm(
+            x_251,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_251 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_253 = torch.nn.functional.hardswish(x_252, True)
+        x_252 = None
+        x_254 = torch.conv2d(
+            x_253,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            736,
+        )
+        x_253 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_255 = torch.nn.functional.batch_norm(
+            x_254,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_254 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_256 = torch.nn.functional.hardswish(x_255, True)
+        x_255 = None
+        x_se_64 = x_256.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.hardswish(x_se_65, True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_16 = torch.nn.functional.hardsigmoid(x_se_67, False)
+        x_se_67 = None
+        x_257 = x_256 * hardsigmoid_16
+        x_256 = hardsigmoid_16 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_257 = l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_259 = torch.nn.functional.batch_norm(
+            x_258,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_258 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_260 = x_259 + x_250
+        x_259 = x_250 = None
+        x_261 = torch.conv2d(
+            x_260,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_260 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_
+        ) = None
+        x_262 = torch.nn.functional.batch_norm(
+            x_261,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_261 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_263 = torch.nn.functional.hardswish(x_262, True)
+        x_262 = None
+        x_264 = torch.conv2d(
+            x_263,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1104,
+        )
+        x_263 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_265 = torch.nn.functional.batch_norm(
+            x_264,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_264 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_266 = torch.nn.functional.hardswish(x_265, True)
+        x_265 = None
+        x_se_68 = x_266.mean((2, 3), keepdim=True)
+        x_se_69 = torch.conv2d(
+            x_se_68,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_68 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_70 = torch.nn.functional.hardswish(x_se_69, True)
+        x_se_69 = None
+        x_se_71 = torch.conv2d(
+            x_se_70,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_70 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_17 = torch.nn.functional.hardsigmoid(x_se_71, False)
+        x_se_71 = None
+        x_267 = x_266 * hardsigmoid_17
+        x_266 = hardsigmoid_17 = None
+        x_268 = torch.conv2d(
+            x_267,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_267 = l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_269 = torch.nn.functional.batch_norm(
+            x_268,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_268 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_270 = torch.conv2d(
+            x_269,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_269 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_271 = torch.nn.functional.batch_norm(
+            x_270,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_270 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_272 = torch.nn.functional.hardswish(x_271, True)
+        x_271 = None
+        x_273 = torch.nn.functional.adaptive_avg_pool2d(x_272, 1)
+        x_272 = None
+        x_274 = torch.conv2d(
+            x_273,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_273 = l_self_modules_conv_head_parameters_weight_ = None
+        x_275 = torch.nn.functional.hardswish(x_274, True)
+        x_274 = None
+        x_276 = x_275.flatten(1, -1)
+        x_275 = None
+        x_277 = torch._C._nn.linear(
+            x_276,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_276 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_277,)
diff --git a/samples/timm/fbnetv3_b.ra2_in1k/weight_meta.py b/samples/timm/fbnetv3_b.ra2_in1k/weight_meta.py
new file mode 100644
index 000000000..b63a69108
--- /dev/null
+++ b/samples/timm/fbnetv3_b.ra2_in1k/weight_meta.py
@@ -0,0 +1,5288 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [16, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.232
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [16, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.029
+    std = 0.377
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.033
+    std = 0.358
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [16, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.464
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.348
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [64, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.013
+    std = 0.174
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [64, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.009
+    std = 0.291
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.206
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.206
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.295
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.131
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.497
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.132
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.131
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.359
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.220
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.128
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.355
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.131
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.359
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.221
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.128
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.277
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.350
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [200, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.100
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [200, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [72, 200, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [216, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [216, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.012
+    std = 0.454
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [72, 216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.166
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [216, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [216, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.013
+    std = 0.464
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [72, 216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.166
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [216, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [216, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.459
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [72, 216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.166
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [216, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [216, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.481
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [72, 216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.166
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [360, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [360, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.464
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.290
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [360, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.074
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [120, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [360, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [360, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [360, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [120, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [360, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [360, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [360, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.074
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [120, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [360, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [360, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.253
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [360, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.074
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [120, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [360, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [360, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [360, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.074
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [120, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [360, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.074
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [360, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.251
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [360, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.074
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [120, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [720, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [720, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.465
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.248
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [720, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [184, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [736, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [736, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [736, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [184, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.105
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [736, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [736, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [736, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [184, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [736, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [736, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [736, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [184, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [736, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [736, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [736, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [184, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [736, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [736, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [736, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [736]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [184, 736, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_"
+    shape = [184]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1104, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1104, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [48, 1104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1104, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [224, 1104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.094
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_"
+    shape = [1344, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1984, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fbnetv3_d.ra2_in1k/graph_hash.txt b/samples/timm/fbnetv3_d.ra2_in1k/graph_hash.txt
new file mode 100644
index 000000000..14b1c2eb5
--- /dev/null
+++ b/samples/timm/fbnetv3_d.ra2_in1k/graph_hash.txt
@@ -0,0 +1 @@
+8ea3f9a23a010f8898469a7eae0e89f5194bfdb0266fe6b536ce6f5b91b625ae
\ No newline at end of file
diff --git a/samples/timm/fbnetv3_d.ra2_in1k/graph_net.json b/samples/timm/fbnetv3_d.ra2_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fbnetv3_d.ra2_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fbnetv3_d.ra2_in1k/input_meta.py b/samples/timm/fbnetv3_d.ra2_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fbnetv3_d.ra2_in1k/input_tensor_constraints.py b/samples/timm/fbnetv3_d.ra2_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fbnetv3_d.ra2_in1k/model.py b/samples/timm/fbnetv3_d.ra2_in1k/model.py
new file mode 100644
index 000000000..0be13b705
--- /dev/null
+++ b/samples/timm/fbnetv3_d.ra2_in1k/model.py
@@ -0,0 +1,5658 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_5_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_5_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_5_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.hardswish(x_1, True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            24,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.hardswish(x_4, True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            16,
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.hardswish(x_9, True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        ) = None
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = x_12 + x_7
+        x_12 = x_7 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_13 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_16 = torch.nn.functional.hardswish(x_15, True)
+        x_15 = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            80,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_19 = torch.nn.functional.hardswish(x_18, True)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_24 = torch.nn.functional.hardswish(x_23, True)
+        x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_27 = torch.nn.functional.hardswish(x_26, True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_30 = x_29 + x_21
+        x_29 = x_21 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_33 = torch.nn.functional.hardswish(x_32, True)
+        x_32 = None
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        x_33 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_36 = torch.nn.functional.hardswish(x_35, True)
+        x_35 = None
+        x_37 = torch.conv2d(
+            x_36,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_36 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_38 = torch.nn.functional.batch_norm(
+            x_37,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_39 = x_38 + x_30
+        x_38 = x_30 = None
+        x_40 = torch.conv2d(
+            x_39,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_42 = torch.nn.functional.hardswish(x_41, True)
+        x_41 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        x_42 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_45 = torch.nn.functional.hardswish(x_44, True)
+        x_44 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_45 = l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_48 = x_47 + x_39
+        x_47 = x_39 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_51 = torch.nn.functional.hardswish(x_50, True)
+        x_50 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        x_51 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_54 = torch.nn.functional.hardswish(x_53, True)
+        x_53 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_54 = l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_57 = x_56 + x_48
+        x_56 = x_48 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_blocks_modules_1_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_60 = torch.nn.functional.hardswish(x_59, True)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_blocks_modules_1_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        x_60 = (
+            l_self_modules_blocks_modules_1_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_63 = torch.nn.functional.hardswish(x_62, True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_1_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_blocks_modules_1_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_66 = x_65 + x_57
+        x_65 = x_57 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_69 = torch.nn.functional.hardswish(x_68, True)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        x_69 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_72 = torch.nn.functional.hardswish(x_71, True)
+        x_71 = None
+        x_se = x_72.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.hardswish(x_se_1, True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_73 = x_72 * hardsigmoid
+        x_72 = hardsigmoid = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_73 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_78 = torch.nn.functional.hardswish(x_77, True)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            120,
+        )
+        x_78 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.hardswish(x_80, True)
+        x_80 = None
+        x_se_4 = x_81.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.hardswish(x_se_5, True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_82 = x_81 * hardsigmoid_1
+        x_81 = hardsigmoid_1 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_85 = x_84 + x_75
+        x_84 = x_75 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_88 = torch.nn.functional.hardswish(x_87, True)
+        x_87 = None
+        x_89 = torch.conv2d(
+            x_88,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            120,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_91 = torch.nn.functional.hardswish(x_90, True)
+        x_90 = None
+        x_se_8 = x_91.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.hardswish(x_se_9, True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_11, False)
+        x_se_11 = None
+        x_92 = x_91 * hardsigmoid_2
+        x_91 = hardsigmoid_2 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_94 = torch.nn.functional.batch_norm(
+            x_93,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_95 = x_94 + x_85
+        x_94 = x_85 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_98 = torch.nn.functional.hardswish(x_97, True)
+        x_97 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            120,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_100 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_99 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_101 = torch.nn.functional.hardswish(x_100, True)
+        x_100 = None
+        x_se_12 = x_101.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.hardswish(x_se_13, True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_15, False)
+        x_se_15 = None
+        x_102 = x_101 * hardsigmoid_3
+        x_101 = hardsigmoid_3 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_102 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_105 = x_104 + x_95
+        x_104 = x_95 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.hardswish(x_107, True)
+        x_107 = None
+        x_109 = torch.conv2d(
+            x_108,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            120,
+        )
+        x_108 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_110 = torch.nn.functional.batch_norm(
+            x_109,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_111 = torch.nn.functional.hardswish(x_110, True)
+        x_110 = None
+        x_se_16 = x_111.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.hardswish(x_se_17, True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_4 = torch.nn.functional.hardsigmoid(x_se_19, False)
+        x_se_19 = None
+        x_112 = x_111 * hardsigmoid_4
+        x_111 = hardsigmoid_4 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_115 = x_114 + x_105
+        x_114 = x_105 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_118 = torch.nn.functional.hardswish(x_117, True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            200,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_121 = torch.nn.functional.hardswish(x_120, True)
+        x_120 = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_121 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_123 = torch.nn.functional.batch_norm(
+            x_122,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.hardswish(x_125, True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            216,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_129 = torch.nn.functional.hardswish(x_128, True)
+        x_128 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_129 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_132 = x_131 + x_123
+        x_131 = x_123 = None
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_134 = torch.nn.functional.batch_norm(
+            x_133,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_135 = torch.nn.functional.hardswish(x_134, True)
+        x_134 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            216,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_137 = torch.nn.functional.batch_norm(
+            x_136,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_138 = torch.nn.functional.hardswish(x_137, True)
+        x_137 = None
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_138 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_141 = x_140 + x_132
+        x_140 = x_132 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_143 = torch.nn.functional.batch_norm(
+            x_142,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_144 = torch.nn.functional.hardswish(x_143, True)
+        x_143 = None
+        x_145 = torch.conv2d(
+            x_144,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            216,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_146 = torch.nn.functional.batch_norm(
+            x_145,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_147 = torch.nn.functional.hardswish(x_146, True)
+        x_146 = None
+        x_148 = torch.conv2d(
+            x_147,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_147 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_149 = torch.nn.functional.batch_norm(
+            x_148,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_148 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_150 = x_149 + x_141
+        x_149 = x_141 = None
+        x_151 = torch.conv2d(
+            x_150,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_152 = torch.nn.functional.batch_norm(
+            x_151,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_151 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_153 = torch.nn.functional.hardswish(x_152, True)
+        x_152 = None
+        x_154 = torch.conv2d(
+            x_153,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            216,
+        )
+        x_153 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_155 = torch.nn.functional.batch_norm(
+            x_154,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_156 = torch.nn.functional.hardswish(x_155, True)
+        x_155 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_156 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_159 = x_158 + x_150
+        x_158 = x_150 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_162 = torch.nn.functional.hardswish(x_161, True)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            360,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_165 = torch.nn.functional.hardswish(x_164, True)
+        x_164 = None
+        x_se_20 = x_165.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.hardswish(x_se_21, True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_5 = torch.nn.functional.hardsigmoid(x_se_23, False)
+        x_se_23 = None
+        x_166 = x_165 * hardsigmoid_5
+        x_165 = hardsigmoid_5 = None
+        x_167 = torch.conv2d(
+            x_166,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_166 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_168 = torch.nn.functional.batch_norm(
+            x_167,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_167 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_170 = torch.nn.functional.batch_norm(
+            x_169,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_169 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_171 = torch.nn.functional.hardswish(x_170, True)
+        x_170 = None
+        x_172 = torch.conv2d(
+            x_171,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_171 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_173 = torch.nn.functional.batch_norm(
+            x_172,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_172 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_174 = torch.nn.functional.hardswish(x_173, True)
+        x_173 = None
+        x_se_24 = x_174.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.hardswish(x_se_25, True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_6 = torch.nn.functional.hardsigmoid(x_se_27, False)
+        x_se_27 = None
+        x_175 = x_174 * hardsigmoid_6
+        x_174 = hardsigmoid_6 = None
+        x_176 = torch.conv2d(
+            x_175,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_175 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_177 = torch.nn.functional.batch_norm(
+            x_176,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_176 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_178 = x_177 + x_168
+        x_177 = x_168 = None
+        x_179 = torch.conv2d(
+            x_178,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_180 = torch.nn.functional.batch_norm(
+            x_179,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_179 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_181 = torch.nn.functional.hardswish(x_180, True)
+        x_180 = None
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_181 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_183 = torch.nn.functional.batch_norm(
+            x_182,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_182 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_184 = torch.nn.functional.hardswish(x_183, True)
+        x_183 = None
+        x_se_28 = x_184.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.hardswish(x_se_29, True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_7 = torch.nn.functional.hardsigmoid(x_se_31, False)
+        x_se_31 = None
+        x_185 = x_184 * hardsigmoid_7
+        x_184 = hardsigmoid_7 = None
+        x_186 = torch.conv2d(
+            x_185,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_185 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_187 = torch.nn.functional.batch_norm(
+            x_186,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_186 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_188 = x_187 + x_178
+        x_187 = x_178 = None
+        x_189 = torch.conv2d(
+            x_188,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_190 = torch.nn.functional.batch_norm(
+            x_189,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_189 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_191 = torch.nn.functional.hardswish(x_190, True)
+        x_190 = None
+        x_192 = torch.conv2d(
+            x_191,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_191 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_193 = torch.nn.functional.batch_norm(
+            x_192,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_192 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_194 = torch.nn.functional.hardswish(x_193, True)
+        x_193 = None
+        x_se_32 = x_194.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.hardswish(x_se_33, True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_8 = torch.nn.functional.hardsigmoid(x_se_35, False)
+        x_se_35 = None
+        x_195 = x_194 * hardsigmoid_8
+        x_194 = hardsigmoid_8 = None
+        x_196 = torch.conv2d(
+            x_195,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_195 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_197 = torch.nn.functional.batch_norm(
+            x_196,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_196 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_198 = x_197 + x_188
+        x_197 = x_188 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_200 = torch.nn.functional.batch_norm(
+            x_199,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_199 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_201 = torch.nn.functional.hardswish(x_200, True)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_201 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_203 = torch.nn.functional.batch_norm(
+            x_202,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_202 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_204 = torch.nn.functional.hardswish(x_203, True)
+        x_203 = None
+        x_se_36 = x_204.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.hardswish(x_se_37, True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_9 = torch.nn.functional.hardsigmoid(x_se_39, False)
+        x_se_39 = None
+        x_205 = x_204 * hardsigmoid_9
+        x_204 = hardsigmoid_9 = None
+        x_206 = torch.conv2d(
+            x_205,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_205 = l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_207 = torch.nn.functional.batch_norm(
+            x_206,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_206 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_208 = x_207 + x_198
+        x_207 = x_198 = None
+        x_209 = torch.conv2d(
+            x_208,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_210 = torch.nn.functional.batch_norm(
+            x_209,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_209 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_211 = torch.nn.functional.hardswish(x_210, True)
+        x_210 = None
+        x_212 = torch.conv2d(
+            x_211,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_211 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_213 = torch.nn.functional.batch_norm(
+            x_212,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_212 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_214 = torch.nn.functional.hardswish(x_213, True)
+        x_213 = None
+        x_se_40 = x_214.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.hardswish(x_se_41, True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_10 = torch.nn.functional.hardsigmoid(x_se_43, False)
+        x_se_43 = None
+        x_215 = x_214 * hardsigmoid_10
+        x_214 = hardsigmoid_10 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_215 = l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_217 = torch.nn.functional.batch_norm(
+            x_216,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_216 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_218 = x_217 + x_208
+        x_217 = x_208 = None
+        x_219 = torch.conv2d(
+            x_218,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_220 = torch.nn.functional.batch_norm(
+            x_219,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_219 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_221 = torch.nn.functional.hardswish(x_220, True)
+        x_220 = None
+        x_222 = torch.conv2d(
+            x_221,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        x_221 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_223 = torch.nn.functional.batch_norm(
+            x_222,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_222 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_224 = torch.nn.functional.hardswish(x_223, True)
+        x_223 = None
+        x_se_44 = x_224.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.hardswish(x_se_45, True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_11 = torch.nn.functional.hardsigmoid(x_se_47, False)
+        x_se_47 = None
+        x_225 = x_224 * hardsigmoid_11
+        x_224 = hardsigmoid_11 = None
+        x_226 = torch.conv2d(
+            x_225,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_225 = l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_227 = torch.nn.functional.batch_norm(
+            x_226,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_226 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_228 = x_227 + x_218
+        x_227 = x_218 = None
+        x_229 = torch.conv2d(
+            x_228,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_228 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_230 = torch.nn.functional.batch_norm(
+            x_229,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_229 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_231 = torch.nn.functional.hardswish(x_230, True)
+        x_230 = None
+        x_232 = torch.conv2d(
+            x_231,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_231 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_233 = torch.nn.functional.batch_norm(
+            x_232,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_232 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_234 = torch.nn.functional.hardswish(x_233, True)
+        x_233 = None
+        x_se_48 = x_234.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.hardswish(x_se_49, True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_12 = torch.nn.functional.hardsigmoid(x_se_51, False)
+        x_se_51 = None
+        x_235 = x_234 * hardsigmoid_12
+        x_234 = hardsigmoid_12 = None
+        x_236 = torch.conv2d(
+            x_235,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_235 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_237 = torch.nn.functional.batch_norm(
+            x_236,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_236 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_238 = torch.conv2d(
+            x_237,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_239 = torch.nn.functional.batch_norm(
+            x_238,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_238 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_240 = torch.nn.functional.hardswish(x_239, True)
+        x_239 = None
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1040,
+        )
+        x_240 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_242 = torch.nn.functional.batch_norm(
+            x_241,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_241 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_243 = torch.nn.functional.hardswish(x_242, True)
+        x_242 = None
+        x_se_52 = x_243.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.hardswish(x_se_53, True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_13 = torch.nn.functional.hardsigmoid(x_se_55, False)
+        x_se_55 = None
+        x_244 = x_243 * hardsigmoid_13
+        x_243 = hardsigmoid_13 = None
+        x_245 = torch.conv2d(
+            x_244,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_244 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_246 = torch.nn.functional.batch_norm(
+            x_245,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_245 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_247 = x_246 + x_237
+        x_246 = x_237 = None
+        x_248 = torch.conv2d(
+            x_247,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_249 = torch.nn.functional.batch_norm(
+            x_248,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_248 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_250 = torch.nn.functional.hardswish(x_249, True)
+        x_249 = None
+        x_251 = torch.conv2d(
+            x_250,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1040,
+        )
+        x_250 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_252 = torch.nn.functional.batch_norm(
+            x_251,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_251 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_253 = torch.nn.functional.hardswish(x_252, True)
+        x_252 = None
+        x_se_56 = x_253.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.hardswish(x_se_57, True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_14 = torch.nn.functional.hardsigmoid(x_se_59, False)
+        x_se_59 = None
+        x_254 = x_253 * hardsigmoid_14
+        x_253 = hardsigmoid_14 = None
+        x_255 = torch.conv2d(
+            x_254,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_254 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_256 = torch.nn.functional.batch_norm(
+            x_255,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_255 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_257 = x_256 + x_247
+        x_256 = x_247 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_259 = torch.nn.functional.batch_norm(
+            x_258,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_258 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_260 = torch.nn.functional.hardswish(x_259, True)
+        x_259 = None
+        x_261 = torch.conv2d(
+            x_260,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1040,
+        )
+        x_260 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_262 = torch.nn.functional.batch_norm(
+            x_261,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_261 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_263 = torch.nn.functional.hardswish(x_262, True)
+        x_262 = None
+        x_se_60 = x_263.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.hardswish(x_se_61, True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_15 = torch.nn.functional.hardsigmoid(x_se_63, False)
+        x_se_63 = None
+        x_264 = x_263 * hardsigmoid_15
+        x_263 = hardsigmoid_15 = None
+        x_265 = torch.conv2d(
+            x_264,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_264 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_266 = torch.nn.functional.batch_norm(
+            x_265,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_265 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_267 = x_266 + x_257
+        x_266 = x_257 = None
+        x_268 = torch.conv2d(
+            x_267,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_269 = torch.nn.functional.batch_norm(
+            x_268,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_268 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_270 = torch.nn.functional.hardswish(x_269, True)
+        x_269 = None
+        x_271 = torch.conv2d(
+            x_270,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1040,
+        )
+        x_270 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_272 = torch.nn.functional.batch_norm(
+            x_271,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_271 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_273 = torch.nn.functional.hardswish(x_272, True)
+        x_272 = None
+        x_se_64 = x_273.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.hardswish(x_se_65, True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_16 = torch.nn.functional.hardsigmoid(x_se_67, False)
+        x_se_67 = None
+        x_274 = x_273 * hardsigmoid_16
+        x_273 = hardsigmoid_16 = None
+        x_275 = torch.conv2d(
+            x_274,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_274 = l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_276 = torch.nn.functional.batch_norm(
+            x_275,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_275 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_277 = x_276 + x_267
+        x_276 = x_267 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_279 = torch.nn.functional.batch_norm(
+            x_278,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_278 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_280 = torch.nn.functional.hardswish(x_279, True)
+        x_279 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1040,
+        )
+        x_280 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_282 = torch.nn.functional.batch_norm(
+            x_281,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_281 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_283 = torch.nn.functional.hardswish(x_282, True)
+        x_282 = None
+        x_se_68 = x_283.mean((2, 3), keepdim=True)
+        x_se_69 = torch.conv2d(
+            x_se_68,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_68 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_70 = torch.nn.functional.hardswish(x_se_69, True)
+        x_se_69 = None
+        x_se_71 = torch.conv2d(
+            x_se_70,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_70 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_17 = torch.nn.functional.hardsigmoid(x_se_71, False)
+        x_se_71 = None
+        x_284 = x_283 * hardsigmoid_17
+        x_283 = hardsigmoid_17 = None
+        x_285 = torch.conv2d(
+            x_284,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_284 = l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_286 = torch.nn.functional.batch_norm(
+            x_285,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_285 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_287 = x_286 + x_277
+        x_286 = x_277 = None
+        x_288 = torch.conv2d(
+            x_287,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_287 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_
+        ) = None
+        x_289 = torch.nn.functional.batch_norm(
+            x_288,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_288 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_290 = torch.nn.functional.hardswish(x_289, True)
+        x_289 = None
+        x_291 = torch.conv2d(
+            x_290,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1248,
+        )
+        x_290 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_292 = torch.nn.functional.batch_norm(
+            x_291,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_291 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_293 = torch.nn.functional.hardswish(x_292, True)
+        x_292 = None
+        x_se_72 = x_293.mean((2, 3), keepdim=True)
+        x_se_73 = torch.conv2d(
+            x_se_72,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_72 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_74 = torch.nn.functional.hardswish(x_se_73, True)
+        x_se_73 = None
+        x_se_75 = torch.conv2d(
+            x_se_74,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_74 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_18 = torch.nn.functional.hardsigmoid(x_se_75, False)
+        x_se_75 = None
+        x_294 = x_293 * hardsigmoid_18
+        x_293 = hardsigmoid_18 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_296 = torch.nn.functional.batch_norm(
+            x_295,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_295 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_297 = torch.conv2d(
+            x_296,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_296 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_298 = torch.nn.functional.batch_norm(
+            x_297,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_297 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_299 = torch.nn.functional.hardswish(x_298, True)
+        x_298 = None
+        x_300 = torch.nn.functional.adaptive_avg_pool2d(x_299, 1)
+        x_299 = None
+        x_301 = torch.conv2d(
+            x_300,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_300 = l_self_modules_conv_head_parameters_weight_ = None
+        x_302 = torch.nn.functional.hardswish(x_301, True)
+        x_301 = None
+        x_303 = x_302.flatten(1, -1)
+        x_302 = None
+        x_304 = torch._C._nn.linear(
+            x_303,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_303 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_304,)
diff --git a/samples/timm/fbnetv3_d.ra2_in1k/weight_meta.py b/samples/timm/fbnetv3_d.ra2_in1k/weight_meta.py
new file mode 100644
index 000000000..8481c2d32
--- /dev/null
+++ b/samples/timm/fbnetv3_d.ra2_in1k/weight_meta.py
@@ -0,0 +1,5796 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [24, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [24, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.019
+    std = 0.513
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.359
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [16, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.511
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.369
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [80, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.155
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [80, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.022
+    std = 0.466
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.013
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.202
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.458
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.300
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.208
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.016
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.208
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.018
+    std = 0.462
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.021
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.028
+    std = 0.424
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.210
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.448
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.015
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_5_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [96, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [8, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.503
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [96, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.147
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.221
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.130
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.012
+    std = 0.483
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.357
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.222
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.131
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.012
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.012
+    std = 0.354
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.228
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.128
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.467
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.354
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.128
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.131
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.013
+    std = 0.484
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.354
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.128
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.228
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [200, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.100
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [200, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.013
+    std = 0.476
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [200]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [72, 200, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [216, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [216, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [72, 216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [216, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [216, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [72, 216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.168
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [216, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [216, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.009
+    std = 0.477
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [72, 216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.168
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [216, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [216, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.011
+    std = 0.466
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [216]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [72, 216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.166
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [360, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.074
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [360, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.290
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [360, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [360]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 360, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.247
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [384, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.255
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [384, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.248
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [384, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.071
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [384, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [384, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [384, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [384, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [768, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.251
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [768, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1040, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1040, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [56, 1040, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1040, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1040, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1040, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1040, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [56, 1040, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1040, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1040, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1040, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1040, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [56, 1040, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.188
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1040, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1040, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1040, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1040, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [56, 1040, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1040, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1040, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1040, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1040, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [56, 1040, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1040, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1040]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [208, 1040, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_"
+    shape = [208]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1248, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [56, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1248, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1248]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [240, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_"
+    shape = [1440, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [1440]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1984, 1440, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/fbnetv3_g.ra2_in1k/graph_hash.txt b/samples/timm/fbnetv3_g.ra2_in1k/graph_hash.txt
new file mode 100644
index 000000000..c721d1d1c
--- /dev/null
+++ b/samples/timm/fbnetv3_g.ra2_in1k/graph_hash.txt
@@ -0,0 +1 @@
+c3ce602539c5ddbafec0b8717d2e2eb50b17c0822093c393c4dc36e9d32a8694
\ No newline at end of file
diff --git a/samples/timm/fbnetv3_g.ra2_in1k/graph_net.json b/samples/timm/fbnetv3_g.ra2_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/fbnetv3_g.ra2_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/fbnetv3_g.ra2_in1k/input_meta.py b/samples/timm/fbnetv3_g.ra2_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fbnetv3_g.ra2_in1k/input_tensor_constraints.py b/samples/timm/fbnetv3_g.ra2_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/fbnetv3_g.ra2_in1k/model.py b/samples/timm/fbnetv3_g.ra2_in1k/model.py
new file mode 100644
index 000000000..ab9b77e56
--- /dev/null
+++ b/samples/timm/fbnetv3_g.ra2_in1k/model.py
@@ -0,0 +1,6369 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.hardswish(x_1, True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.hardswish(x_4, True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            24,
+        )
+        l_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.hardswish(x_9, True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_10 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_
+        ) = None
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = x_12 + x_7
+        x_12 = x_7 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            24,
+        )
+        l_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_ = (
+            None
+        )
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_16 = torch.nn.functional.hardswish(x_15, True)
+        x_15 = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_
+        ) = None
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_19 = x_18 + x_13
+        x_18 = x_13 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_22 = torch.nn.functional.hardswish(x_21, True)
+        x_21 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        x_22 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_25 = torch.nn.functional.hardswish(x_24, True)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_30 = torch.nn.functional.hardswish(x_29, True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            80,
+        )
+        x_30 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_33 = torch.nn.functional.hardswish(x_32, True)
+        x_32 = None
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_33 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_36 = x_35 + x_27
+        x_35 = x_27 = None
+        x_37 = torch.conv2d(
+            x_36,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_38 = torch.nn.functional.batch_norm(
+            x_37,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_39 = torch.nn.functional.hardswish(x_38, True)
+        x_38 = None
+        x_40 = torch.conv2d(
+            x_39,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            80,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_42 = torch.nn.functional.hardswish(x_41, True)
+        x_41 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_45 = x_44 + x_36
+        x_44 = x_36 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.hardswish(x_47, True)
+        x_47 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            80,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_51 = torch.nn.functional.hardswish(x_50, True)
+        x_50 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_51 = l_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_54 = x_53 + x_45
+        x_53 = x_45 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_57 = torch.nn.functional.hardswish(x_56, True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            80,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_60 = torch.nn.functional.hardswish(x_59, True)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_63 = x_62 + x_54
+        x_62 = x_54 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_66 = torch.nn.functional.hardswish(x_65, True)
+        x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            160,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_69 = torch.nn.functional.hardswish(x_68, True)
+        x_68 = None
+        x_se = x_69.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.hardswish(x_se_1, True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_70 = x_69 * hardsigmoid
+        x_69 = hardsigmoid = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_72 = torch.nn.functional.batch_norm(
+            x_71,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_75 = torch.nn.functional.hardswish(x_74, True)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            168,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_78 = torch.nn.functional.hardswish(x_77, True)
+        x_77 = None
+        x_se_4 = x_78.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.hardswish(x_se_5, True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_79 = x_78 * hardsigmoid_1
+        x_78 = hardsigmoid_1 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_79 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_82 = x_81 + x_72
+        x_81 = x_72 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_85 = torch.nn.functional.hardswish(x_84, True)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            168,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_88 = torch.nn.functional.hardswish(x_87, True)
+        x_87 = None
+        x_se_8 = x_88.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.hardswish(x_se_9, True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_11, False)
+        x_se_11 = None
+        x_89 = x_88 * hardsigmoid_2
+        x_88 = hardsigmoid_2 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_92 = x_91 + x_82
+        x_91 = x_82 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_94 = torch.nn.functional.batch_norm(
+            x_93,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_95 = torch.nn.functional.hardswish(x_94, True)
+        x_94 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            168,
+        )
+        x_95 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_98 = torch.nn.functional.hardswish(x_97, True)
+        x_97 = None
+        x_se_12 = x_98.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.hardswish(x_se_13, True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_15, False)
+        x_se_15 = None
+        x_99 = x_98 * hardsigmoid_3
+        x_98 = hardsigmoid_3 = None
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_99 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_102 = x_101 + x_92
+        x_101 = x_92 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_105 = torch.nn.functional.hardswish(x_104, True)
+        x_104 = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            168,
+        )
+        x_105 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.hardswish(x_107, True)
+        x_107 = None
+        x_se_16 = x_108.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.hardswish(x_se_17, True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_4 = torch.nn.functional.hardsigmoid(x_se_19, False)
+        x_se_19 = None
+        x_109 = x_108 * hardsigmoid_4
+        x_108 = hardsigmoid_4 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_109 = l_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_112 = x_111 + x_102
+        x_111 = x_102 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_115 = torch.nn.functional.hardswish(x_114, True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            280,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_118 = torch.nn.functional.hardswish(x_117, True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_123 = torch.nn.functional.hardswish(x_122, True)
+        x_122 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            312,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.hardswish(x_125, True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_129 = x_128 + x_120
+        x_128 = x_120 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_132 = torch.nn.functional.hardswish(x_131, True)
+        x_131 = None
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            312,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_134 = torch.nn.functional.batch_norm(
+            x_133,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_135 = torch.nn.functional.hardswish(x_134, True)
+        x_134 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_135 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_137 = torch.nn.functional.batch_norm(
+            x_136,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_138 = x_137 + x_129
+        x_137 = x_129 = None
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_141 = torch.nn.functional.hardswish(x_140, True)
+        x_140 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            312,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_143 = torch.nn.functional.batch_norm(
+            x_142,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_144 = torch.nn.functional.hardswish(x_143, True)
+        x_143 = None
+        x_145 = torch.conv2d(
+            x_144,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_144 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_146 = torch.nn.functional.batch_norm(
+            x_145,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_147 = x_146 + x_138
+        x_146 = x_138 = None
+        x_148 = torch.conv2d(
+            x_147,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_149 = torch.nn.functional.batch_norm(
+            x_148,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_148 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_150 = torch.nn.functional.hardswish(x_149, True)
+        x_149 = None
+        x_151 = torch.conv2d(
+            x_150,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            312,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_152 = torch.nn.functional.batch_norm(
+            x_151,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_151 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_153 = torch.nn.functional.hardswish(x_152, True)
+        x_152 = None
+        x_154 = torch.conv2d(
+            x_153,
+            l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_153 = l_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_155 = torch.nn.functional.batch_norm(
+            x_154,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_156 = x_155 + x_147
+        x_155 = x_147 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_156 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_159 = torch.nn.functional.hardswish(x_158, True)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            520,
+        )
+        x_159 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_162 = torch.nn.functional.hardswish(x_161, True)
+        x_161 = None
+        x_se_20 = x_162.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.hardswish(x_se_21, True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_5 = torch.nn.functional.hardsigmoid(x_se_23, False)
+        x_se_23 = None
+        x_163 = x_162 * hardsigmoid_5
+        x_162 = hardsigmoid_5 = None
+        x_164 = torch.conv2d(
+            x_163,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_163 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_165 = torch.nn.functional.batch_norm(
+            x_164,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_164 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_166 = torch.conv2d(
+            x_165,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_167 = torch.nn.functional.batch_norm(
+            x_166,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_166 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_168 = torch.nn.functional.hardswish(x_167, True)
+        x_167 = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_168 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_170 = torch.nn.functional.batch_norm(
+            x_169,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_169 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_171 = torch.nn.functional.hardswish(x_170, True)
+        x_170 = None
+        x_se_24 = x_171.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.hardswish(x_se_25, True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_6 = torch.nn.functional.hardsigmoid(x_se_27, False)
+        x_se_27 = None
+        x_172 = x_171 * hardsigmoid_6
+        x_171 = hardsigmoid_6 = None
+        x_173 = torch.conv2d(
+            x_172,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_172 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_174 = torch.nn.functional.batch_norm(
+            x_173,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_173 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_175 = x_174 + x_165
+        x_174 = x_165 = None
+        x_176 = torch.conv2d(
+            x_175,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_177 = torch.nn.functional.batch_norm(
+            x_176,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_176 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_178 = torch.nn.functional.hardswish(x_177, True)
+        x_177 = None
+        x_179 = torch.conv2d(
+            x_178,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_178 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_180 = torch.nn.functional.batch_norm(
+            x_179,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_179 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_181 = torch.nn.functional.hardswish(x_180, True)
+        x_180 = None
+        x_se_28 = x_181.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.hardswish(x_se_29, True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_7 = torch.nn.functional.hardsigmoid(x_se_31, False)
+        x_se_31 = None
+        x_182 = x_181 * hardsigmoid_7
+        x_181 = hardsigmoid_7 = None
+        x_183 = torch.conv2d(
+            x_182,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_182 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_184 = torch.nn.functional.batch_norm(
+            x_183,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_183 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_185 = x_184 + x_175
+        x_184 = x_175 = None
+        x_186 = torch.conv2d(
+            x_185,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_187 = torch.nn.functional.batch_norm(
+            x_186,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_186 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_188 = torch.nn.functional.hardswish(x_187, True)
+        x_187 = None
+        x_189 = torch.conv2d(
+            x_188,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_188 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_190 = torch.nn.functional.batch_norm(
+            x_189,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_189 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_191 = torch.nn.functional.hardswish(x_190, True)
+        x_190 = None
+        x_se_32 = x_191.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.hardswish(x_se_33, True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_8 = torch.nn.functional.hardsigmoid(x_se_35, False)
+        x_se_35 = None
+        x_192 = x_191 * hardsigmoid_8
+        x_191 = hardsigmoid_8 = None
+        x_193 = torch.conv2d(
+            x_192,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_192 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_194 = torch.nn.functional.batch_norm(
+            x_193,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_193 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_195 = x_194 + x_185
+        x_194 = x_185 = None
+        x_196 = torch.conv2d(
+            x_195,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_197 = torch.nn.functional.batch_norm(
+            x_196,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_196 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_198 = torch.nn.functional.hardswish(x_197, True)
+        x_197 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_198 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_200 = torch.nn.functional.batch_norm(
+            x_199,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_199 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_201 = torch.nn.functional.hardswish(x_200, True)
+        x_200 = None
+        x_se_36 = x_201.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.hardswish(x_se_37, True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_9 = torch.nn.functional.hardsigmoid(x_se_39, False)
+        x_se_39 = None
+        x_202 = x_201 * hardsigmoid_9
+        x_201 = hardsigmoid_9 = None
+        x_203 = torch.conv2d(
+            x_202,
+            l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_202 = l_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_204 = torch.nn.functional.batch_norm(
+            x_203,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_203 = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_205 = x_204 + x_195
+        x_204 = x_195 = None
+        x_206 = torch.conv2d(
+            x_205,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_207 = torch.nn.functional.batch_norm(
+            x_206,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_206 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_208 = torch.nn.functional.hardswish(x_207, True)
+        x_207 = None
+        x_209 = torch.conv2d(
+            x_208,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_208 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_210 = torch.nn.functional.batch_norm(
+            x_209,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_209 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_211 = torch.nn.functional.hardswish(x_210, True)
+        x_210 = None
+        x_se_40 = x_211.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.hardswish(x_se_41, True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_10 = torch.nn.functional.hardsigmoid(x_se_43, False)
+        x_se_43 = None
+        x_212 = x_211 * hardsigmoid_10
+        x_211 = hardsigmoid_10 = None
+        x_213 = torch.conv2d(
+            x_212,
+            l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_212 = l_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_214 = torch.nn.functional.batch_norm(
+            x_213,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_213 = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_215 = x_214 + x_205
+        x_214 = x_205 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_217 = torch.nn.functional.batch_norm(
+            x_216,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_216 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_218 = torch.nn.functional.hardswish(x_217, True)
+        x_217 = None
+        x_219 = torch.conv2d(
+            x_218,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_218 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_220 = torch.nn.functional.batch_norm(
+            x_219,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_219 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_221 = torch.nn.functional.hardswish(x_220, True)
+        x_220 = None
+        x_se_44 = x_221.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.hardswish(x_se_45, True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_11 = torch.nn.functional.hardsigmoid(x_se_47, False)
+        x_se_47 = None
+        x_222 = x_221 * hardsigmoid_11
+        x_221 = hardsigmoid_11 = None
+        x_223 = torch.conv2d(
+            x_222,
+            l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_222 = l_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_224 = torch.nn.functional.batch_norm(
+            x_223,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_223 = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_225 = x_224 + x_215
+        x_224 = x_215 = None
+        x_226 = torch.conv2d(
+            x_225,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_227 = torch.nn.functional.batch_norm(
+            x_226,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_226 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_
+        ) = None
+        x_228 = torch.nn.functional.hardswish(x_227, True)
+        x_227 = None
+        x_229 = torch.conv2d(
+            x_228,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_228 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_
+        ) = None
+        x_230 = torch.nn.functional.batch_norm(
+            x_229,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_229 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_
+        ) = None
+        x_231 = torch.nn.functional.hardswish(x_230, True)
+        x_230 = None
+        x_se_48 = x_231.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.hardswish(x_se_49, True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_12 = torch.nn.functional.hardsigmoid(x_se_51, False)
+        x_se_51 = None
+        x_232 = x_231 * hardsigmoid_12
+        x_231 = hardsigmoid_12 = None
+        x_233 = torch.conv2d(
+            x_232,
+            l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_232 = l_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_ = (None)
+        x_234 = torch.nn.functional.batch_norm(
+            x_233,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_233 = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_
+        ) = None
+        x_235 = x_234 + x_225
+        x_234 = x_225 = None
+        x_236 = torch.conv2d(
+            x_235,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_237 = torch.nn.functional.batch_norm(
+            x_236,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_236 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_
+        ) = None
+        x_238 = torch.nn.functional.hardswish(x_237, True)
+        x_237 = None
+        x_239 = torch.conv2d(
+            x_238,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_238 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_
+        ) = None
+        x_240 = torch.nn.functional.batch_norm(
+            x_239,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_239 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_
+        ) = None
+        x_241 = torch.nn.functional.hardswish(x_240, True)
+        x_240 = None
+        x_se_52 = x_241.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.hardswish(x_se_53, True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_13 = torch.nn.functional.hardsigmoid(x_se_55, False)
+        x_se_55 = None
+        x_242 = x_241 * hardsigmoid_13
+        x_241 = hardsigmoid_13 = None
+        x_243 = torch.conv2d(
+            x_242,
+            l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_242 = l_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_ = (None)
+        x_244 = torch.nn.functional.batch_norm(
+            x_243,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_243 = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_
+        ) = None
+        x_245 = x_244 + x_235
+        x_244 = x_235 = None
+        x_246 = torch.conv2d(
+            x_245,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_245 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_247 = torch.nn.functional.batch_norm(
+            x_246,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_246 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_248 = torch.nn.functional.hardswish(x_247, True)
+        x_247 = None
+        x_249 = torch.conv2d(
+            x_248,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        x_248 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_250 = torch.nn.functional.batch_norm(
+            x_249,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_249 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_251 = torch.nn.functional.hardswish(x_250, True)
+        x_250 = None
+        x_se_56 = x_251.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.hardswish(x_se_57, True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_14 = torch.nn.functional.hardsigmoid(x_se_59, False)
+        x_se_59 = None
+        x_252 = x_251 * hardsigmoid_14
+        x_251 = hardsigmoid_14 = None
+        x_253 = torch.conv2d(
+            x_252,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_252 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_254 = torch.nn.functional.batch_norm(
+            x_253,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_253 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_255 = torch.conv2d(
+            x_254,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_256 = torch.nn.functional.batch_norm(
+            x_255,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_255 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_257 = torch.nn.functional.hardswish(x_256, True)
+        x_256 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1320,
+        )
+        x_257 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_259 = torch.nn.functional.batch_norm(
+            x_258,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_258 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_260 = torch.nn.functional.hardswish(x_259, True)
+        x_259 = None
+        x_se_60 = x_260.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.hardswish(x_se_61, True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_15 = torch.nn.functional.hardsigmoid(x_se_63, False)
+        x_se_63 = None
+        x_261 = x_260 * hardsigmoid_15
+        x_260 = hardsigmoid_15 = None
+        x_262 = torch.conv2d(
+            x_261,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_261 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_263 = torch.nn.functional.batch_norm(
+            x_262,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_262 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_264 = x_263 + x_254
+        x_263 = x_254 = None
+        x_265 = torch.conv2d(
+            x_264,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_266 = torch.nn.functional.batch_norm(
+            x_265,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_265 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_267 = torch.nn.functional.hardswish(x_266, True)
+        x_266 = None
+        x_268 = torch.conv2d(
+            x_267,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1320,
+        )
+        x_267 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_269 = torch.nn.functional.batch_norm(
+            x_268,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_268 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_270 = torch.nn.functional.hardswish(x_269, True)
+        x_269 = None
+        x_se_64 = x_270.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.hardswish(x_se_65, True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_16 = torch.nn.functional.hardsigmoid(x_se_67, False)
+        x_se_67 = None
+        x_271 = x_270 * hardsigmoid_16
+        x_270 = hardsigmoid_16 = None
+        x_272 = torch.conv2d(
+            x_271,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_271 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_273 = torch.nn.functional.batch_norm(
+            x_272,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_272 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_274 = x_273 + x_264
+        x_273 = x_264 = None
+        x_275 = torch.conv2d(
+            x_274,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_276 = torch.nn.functional.batch_norm(
+            x_275,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_275 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_277 = torch.nn.functional.hardswish(x_276, True)
+        x_276 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1320,
+        )
+        x_277 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_279 = torch.nn.functional.batch_norm(
+            x_278,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_278 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_280 = torch.nn.functional.hardswish(x_279, True)
+        x_279 = None
+        x_se_68 = x_280.mean((2, 3), keepdim=True)
+        x_se_69 = torch.conv2d(
+            x_se_68,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_68 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_70 = torch.nn.functional.hardswish(x_se_69, True)
+        x_se_69 = None
+        x_se_71 = torch.conv2d(
+            x_se_70,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_70 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_17 = torch.nn.functional.hardsigmoid(x_se_71, False)
+        x_se_71 = None
+        x_281 = x_280 * hardsigmoid_17
+        x_280 = hardsigmoid_17 = None
+        x_282 = torch.conv2d(
+            x_281,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_281 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_283 = torch.nn.functional.batch_norm(
+            x_282,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_282 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_284 = x_283 + x_274
+        x_283 = x_274 = None
+        x_285 = torch.conv2d(
+            x_284,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_286 = torch.nn.functional.batch_norm(
+            x_285,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_285 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_
+        ) = None
+        x_287 = torch.nn.functional.hardswish(x_286, True)
+        x_286 = None
+        x_288 = torch.conv2d(
+            x_287,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1320,
+        )
+        x_287 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_
+        ) = None
+        x_289 = torch.nn.functional.batch_norm(
+            x_288,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_288 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_
+        ) = None
+        x_290 = torch.nn.functional.hardswish(x_289, True)
+        x_289 = None
+        x_se_72 = x_290.mean((2, 3), keepdim=True)
+        x_se_73 = torch.conv2d(
+            x_se_72,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_72 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_74 = torch.nn.functional.hardswish(x_se_73, True)
+        x_se_73 = None
+        x_se_75 = torch.conv2d(
+            x_se_74,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_74 = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_18 = torch.nn.functional.hardsigmoid(x_se_75, False)
+        x_se_75 = None
+        x_291 = x_290 * hardsigmoid_18
+        x_290 = hardsigmoid_18 = None
+        x_292 = torch.conv2d(
+            x_291,
+            l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_291 = l_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_ = (None)
+        x_293 = torch.nn.functional.batch_norm(
+            x_292,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_292 = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_
+        ) = None
+        x_294 = x_293 + x_284
+        x_293 = x_284 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_296 = torch.nn.functional.batch_norm(
+            x_295,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_295 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_
+        ) = None
+        x_297 = torch.nn.functional.hardswish(x_296, True)
+        x_296 = None
+        x_298 = torch.conv2d(
+            x_297,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1320,
+        )
+        x_297 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_
+        ) = None
+        x_299 = torch.nn.functional.batch_norm(
+            x_298,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_298 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_
+        ) = None
+        x_300 = torch.nn.functional.hardswish(x_299, True)
+        x_299 = None
+        x_se_76 = x_300.mean((2, 3), keepdim=True)
+        x_se_77 = torch.conv2d(
+            x_se_76,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_76 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_78 = torch.nn.functional.hardswish(x_se_77, True)
+        x_se_77 = None
+        x_se_79 = torch.conv2d(
+            x_se_78,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_78 = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_19 = torch.nn.functional.hardsigmoid(x_se_79, False)
+        x_se_79 = None
+        x_301 = x_300 * hardsigmoid_19
+        x_300 = hardsigmoid_19 = None
+        x_302 = torch.conv2d(
+            x_301,
+            l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_301 = l_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_ = (None)
+        x_303 = torch.nn.functional.batch_norm(
+            x_302,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_302 = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_
+        ) = None
+        x_304 = x_303 + x_294
+        x_303 = x_294 = None
+        x_305 = torch.conv2d(
+            x_304,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_306 = torch.nn.functional.batch_norm(
+            x_305,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_305 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_
+        ) = None
+        x_307 = torch.nn.functional.hardswish(x_306, True)
+        x_306 = None
+        x_308 = torch.conv2d(
+            x_307,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1320,
+        )
+        x_307 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_
+        ) = None
+        x_309 = torch.nn.functional.batch_norm(
+            x_308,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_308 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_
+        ) = None
+        x_310 = torch.nn.functional.hardswish(x_309, True)
+        x_309 = None
+        x_se_80 = x_310.mean((2, 3), keepdim=True)
+        x_se_81 = torch.conv2d(
+            x_se_80,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_80 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_82 = torch.nn.functional.hardswish(x_se_81, True)
+        x_se_81 = None
+        x_se_83 = torch.conv2d(
+            x_se_82,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_82 = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_20 = torch.nn.functional.hardsigmoid(x_se_83, False)
+        x_se_83 = None
+        x_311 = x_310 * hardsigmoid_20
+        x_310 = hardsigmoid_20 = None
+        x_312 = torch.conv2d(
+            x_311,
+            l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_311 = l_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_ = (None)
+        x_313 = torch.nn.functional.batch_norm(
+            x_312,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_312 = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_
+        ) = None
+        x_314 = x_313 + x_304
+        x_313 = x_304 = None
+        x_315 = torch.conv2d(
+            x_314,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_314 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_
+        ) = None
+        x_316 = torch.nn.functional.batch_norm(
+            x_315,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_315 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_
+        ) = None
+        x_317 = torch.nn.functional.hardswish(x_316, True)
+        x_316 = None
+        x_318 = torch.conv2d(
+            x_317,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1584,
+        )
+        x_317 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_
+        ) = None
+        x_319 = torch.nn.functional.batch_norm(
+            x_318,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_318 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_
+        ) = None
+        x_320 = torch.nn.functional.hardswish(x_319, True)
+        x_319 = None
+        x_se_84 = x_320.mean((2, 3), keepdim=True)
+        x_se_85 = torch.conv2d(
+            x_se_84,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_84 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_86 = torch.nn.functional.hardswish(x_se_85, True)
+        x_se_85 = None
+        x_se_87 = torch.conv2d(
+            x_se_86,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_86 = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_21 = torch.nn.functional.hardsigmoid(x_se_87, False)
+        x_se_87 = None
+        x_321 = x_320 * hardsigmoid_21
+        x_320 = hardsigmoid_21 = None
+        x_322 = torch.conv2d(
+            x_321,
+            l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_321 = l_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_ = (None)
+        x_323 = torch.nn.functional.batch_norm(
+            x_322,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_322 = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_
+        ) = None
+        x_324 = torch.conv2d(
+            x_323,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_325 = torch.nn.functional.batch_norm(
+            x_324,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_324 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_
+        ) = None
+        x_326 = torch.nn.functional.hardswish(x_325, True)
+        x_325 = None
+        x_327 = torch.conv2d(
+            x_326,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1728,
+        )
+        x_326 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_
+        ) = None
+        x_328 = torch.nn.functional.batch_norm(
+            x_327,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_327 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_
+        ) = None
+        x_329 = torch.nn.functional.hardswish(x_328, True)
+        x_328 = None
+        x_se_88 = x_329.mean((2, 3), keepdim=True)
+        x_se_89 = torch.conv2d(
+            x_se_88,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_88 = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_90 = torch.nn.functional.hardswish(x_se_89, True)
+        x_se_89 = None
+        x_se_91 = torch.conv2d(
+            x_se_90,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_90 = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_22 = torch.nn.functional.hardsigmoid(x_se_91, False)
+        x_se_91 = None
+        x_330 = x_329 * hardsigmoid_22
+        x_329 = hardsigmoid_22 = None
+        x_331 = torch.conv2d(
+            x_330,
+            l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_330 = l_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_ = (None)
+        x_332 = torch.nn.functional.batch_norm(
+            x_331,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_331 = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_
+        ) = None
+        x_333 = x_332 + x_323
+        x_332 = x_323 = None
+        x_334 = torch.conv2d(
+            x_333,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_333 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_335 = torch.nn.functional.batch_norm(
+            x_334,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_334 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_336 = torch.nn.functional.hardswish(x_335, True)
+        x_335 = None
+        x_337 = torch.nn.functional.adaptive_avg_pool2d(x_336, 1)
+        x_336 = None
+        x_338 = torch.conv2d(
+            x_337,
+            l_self_modules_conv_head_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_337 = l_self_modules_conv_head_parameters_weight_ = None
+        x_339 = torch.nn.functional.hardswish(x_338, True)
+        x_338 = None
+        x_340 = x_339.flatten(1, -1)
+        x_339 = None
+        x_341 = torch._C._nn.linear(
+            x_340,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_340 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_341,)
diff --git a/samples/timm/fbnetv3_g.ra2_in1k/weight_meta.py b/samples/timm/fbnetv3_g.ra2_in1k/weight_meta.py
new file mode 100644
index 000000000..9beabacae
--- /dev/null
+++ b/samples/timm/fbnetv3_g.ra2_in1k/weight_meta.py
@@ -0,0 +1,6528 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.234
+    std = 1.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.459
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [24, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.446
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_1_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [24, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.015
+    std = 0.484
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [24, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.028
+    std = 0.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_2_modules_bn2_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [96, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.143
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [80, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [80, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.009
+    std = 0.222
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [80, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.157
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [80, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [80, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.160
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [80, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.278
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn2_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.222
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_3_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [80, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [80, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn2_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.229
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_4_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [160, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.341
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [160, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.187
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [168, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [168, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.012
+    std = 0.357
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [168, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.110
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [168, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [168, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.350
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [168, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.185
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [168, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.108
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [168, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.356
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [168, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [168, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.110
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_buffers_running_var_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_weight_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn1_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [168, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_buffers_running_var_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_weight_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn2_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.013
+    std = 0.359
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [168, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.110
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [56, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.186
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_4_modules_bn3_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [280, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [280, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [104, 280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.139
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [312, 104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.080
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [312, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [104, 312, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.138
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [312, 104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [312, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.466
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [104, 312, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.140
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [312, 104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.080
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [312, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [104, 312, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.138
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [312, 104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.080
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_buffers_running_var_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_weight_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn1_parameters_bias_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [312, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_buffers_running_var_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_weight_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn2_parameters_bias_"
+    shape = [312]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [104, 312, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.139
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_buffers_running_var_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_weight_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_4_modules_bn3_parameters_bias_"
+    shape = [104]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [520, 104, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [520]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [520]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [520]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [520]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [520, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [520]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [520]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [520]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [520]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 520, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [520, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [520]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 520, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.225
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.225
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.225
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_4_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_5_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.225
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.113
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_6_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_7_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_7_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_8_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [160, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_8_modules_bn3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [264, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1320, 264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1320, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1320, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [264, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1320, 264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1320, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1320, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [264, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1320, 264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1320, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1320, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [264, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1320, 264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn1_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1320, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn2_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1320, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_4_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [264, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_mean_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_buffers_running_var_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_weight_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_4_modules_bn3_parameters_bias_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1320, 264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn1_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1320, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn2_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1320, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_5_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [264, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_mean_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_buffers_running_var_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_weight_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_5_modules_bn3_parameters_bias_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1320, 264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn1_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1320, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_mean_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_buffers_running_var_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_weight_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn2_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1320, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_6_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [264, 1320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_mean_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_buffers_running_var_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_weight_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_6_modules_bn3_parameters_bias_"
+    shape = [264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1584, 264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_mean_"
+    shape = [1584]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_buffers_running_var_"
+    shape = [1584]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_weight_"
+    shape = [1584]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn1_parameters_bias_"
+    shape = [1584]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1584, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_mean_"
+    shape = [1584]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_buffers_running_var_"
+    shape = [1584]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_weight_"
+    shape = [1584]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn2_parameters_bias_"
+    shape = [1584]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 1584, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1584, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1584]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_7_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [288, 1584, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_7_modules_bn3_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1728, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_mean_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_buffers_running_var_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_weight_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn1_parameters_bias_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1728, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_mean_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_buffers_running_var_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_weight_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn2_parameters_bias_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [72, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1728, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_8_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [288, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_8_modules_bn3_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_"
+    shape = [1728, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [1728]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1984, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1984]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_base_lrf.ms_in1k/graph_hash.txt b/samples/timm/focalnet_base_lrf.ms_in1k/graph_hash.txt
new file mode 100644
index 000000000..92fb07c23
--- /dev/null
+++ b/samples/timm/focalnet_base_lrf.ms_in1k/graph_hash.txt
@@ -0,0 +1 @@
+273391e86d5b752cbac20e22ce77d7ec176d9fe9971042dce07256dc64478eed
\ No newline at end of file
diff --git a/samples/timm/focalnet_base_lrf.ms_in1k/graph_net.json b/samples/timm/focalnet_base_lrf.ms_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_base_lrf.ms_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_base_lrf.ms_in1k/input_meta.py b/samples/timm/focalnet_base_lrf.ms_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_base_lrf.ms_in1k/input_tensor_constraints.py b/samples/timm/focalnet_base_lrf.ms_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_base_lrf.ms_in1k/model.py b/samples/timm/focalnet_base_lrf.ms_in1k/model.py
new file mode 100644
index 000000000..168791357
--- /dev/null
+++ b/samples/timm/focalnet_base_lrf.ms_in1k/model.py
@@ -0,0 +1,4671 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (128,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = x_3.permute(0, 2, 3, 1)
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (128,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_6 = x_5.permute(0, 3, 1, 2)
+        x_5 = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_7, [128, 128, 4], 1)
+        x_7 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        input_5 = torch.conv2d(
+            input_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            128,
+        )
+        input_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, 3, None))]
+        mul_2 = input_6 * getitem_5
+        getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        mean = input_6.mean((2, 3), keepdim=True)
+        input_6 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_6 = gates[(slice(None, None, None), slice(3, None, None))]
+        gates = None
+        mul_3 = ctx_global * getitem_6
+        ctx_global = getitem_6 = None
+        ctx_all_3 = ctx_all_2 + mul_3
+        ctx_all_2 = mul_3 = None
+        conv2d_5 = torch.conv2d(
+            ctx_all_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_3 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_5
+        q = conv2d_5 = None
+        x_out_1 = torch.conv2d(
+            x_out,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_8 = x_3 + x_out_2
+        x_3 = x_out_2 = None
+        x_9 = x_8.permute(0, 2, 3, 1)
+        x_10 = torch.nn.functional.layer_norm(
+            x_9,
+            (128,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_9 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_11 = x_10.permute(0, 3, 1, 2)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_13 = torch._C._nn.gelu(x_12, approximate="none")
+        x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_8 + x_16
+        x_8 = x_16 = None
+        x_18 = x_17.permute(0, 2, 3, 1)
+        x_19 = torch.nn.functional.layer_norm(
+            x_18,
+            (128,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_18 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_20 = x_19.permute(0, 3, 1, 2)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_21, [128, 128, 4], 1)
+        x_21 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_7 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_10 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_5 = input_8 * getitem_10
+        getitem_10 = None
+        ctx_all_4 = 0 + mul_5
+        mul_5 = None
+        input_9 = torch.conv2d(
+            input_8,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        input_8 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_6 = input_10 * getitem_11
+        getitem_11 = None
+        ctx_all_5 = ctx_all_4 + mul_6
+        ctx_all_4 = mul_6 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            128,
+        )
+        input_10 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_12 = gates_1[(slice(None, None, None), slice(2, 3, None))]
+        mul_7 = input_12 * getitem_12
+        getitem_12 = None
+        ctx_all_6 = ctx_all_5 + mul_7
+        ctx_all_5 = mul_7 = None
+        mean_1 = input_12.mean((2, 3), keepdim=True)
+        input_12 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_13 = gates_1[(slice(None, None, None), slice(3, None, None))]
+        gates_1 = None
+        mul_8 = ctx_global_1 * getitem_13
+        ctx_global_1 = getitem_13 = None
+        ctx_all_7 = ctx_all_6 + mul_8
+        ctx_all_6 = mul_8 = None
+        conv2d_13 = torch.conv2d(
+            ctx_all_7,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_7 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_13
+        q_1 = conv2d_13 = None
+        x_out_4 = torch.conv2d(
+            x_out_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_22 = x_17 + x_out_5
+        x_17 = x_out_5 = None
+        x_23 = x_22.permute(0, 2, 3, 1)
+        x_24 = torch.nn.functional.layer_norm(
+            x_23,
+            (128,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_23 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_25 = x_24.permute(0, 3, 1, 2)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_27 = torch._C._nn.gelu(x_26, approximate="none")
+        x_26 = None
+        x_28 = torch.nn.functional.dropout(x_27, 0.0, False, False)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.dropout(x_29, 0.0, False, False)
+        x_29 = None
+        x_31 = x_22 + x_30
+        x_22 = x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_33 = x_32.permute(0, 2, 3, 1)
+        x_32 = None
+        x_34 = torch.nn.functional.layer_norm(
+            x_33,
+            (256,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_33 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_35 = x_34.permute(0, 3, 1, 2)
+        x_34 = None
+        x_36 = x_35.permute(0, 2, 3, 1)
+        x_37 = torch.nn.functional.layer_norm(
+            x_36,
+            (256,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_36 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_38 = x_37.permute(0, 3, 1, 2)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_39, [256, 256, 4], 1)
+        x_39 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_13 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_17 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_10 = input_14 * getitem_17
+        getitem_17 = None
+        ctx_all_8 = 0 + mul_10
+        mul_10 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        input_14 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_18 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_11 = input_16 * getitem_18
+        getitem_18 = None
+        ctx_all_9 = ctx_all_8 + mul_11
+        ctx_all_8 = mul_11 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        input_16 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_19 = gates_2[(slice(None, None, None), slice(2, 3, None))]
+        mul_12 = input_18 * getitem_19
+        getitem_19 = None
+        ctx_all_10 = ctx_all_9 + mul_12
+        ctx_all_9 = mul_12 = None
+        mean_2 = input_18.mean((2, 3), keepdim=True)
+        input_18 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_20 = gates_2[(slice(None, None, None), slice(3, None, None))]
+        gates_2 = None
+        mul_13 = ctx_global_2 * getitem_20
+        ctx_global_2 = getitem_20 = None
+        ctx_all_11 = ctx_all_10 + mul_13
+        ctx_all_10 = mul_13 = None
+        conv2d_22 = torch.conv2d(
+            ctx_all_11,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_11 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_22
+        q_2 = conv2d_22 = None
+        x_out_7 = torch.conv2d(
+            x_out_6,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_6 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_40 = x_35 + x_out_8
+        x_35 = x_out_8 = None
+        x_41 = x_40.permute(0, 2, 3, 1)
+        x_42 = torch.nn.functional.layer_norm(
+            x_41,
+            (256,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_41 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_43 = x_42.permute(0, 3, 1, 2)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_45 = torch._C._nn.gelu(x_44, approximate="none")
+        x_44 = None
+        x_46 = torch.nn.functional.dropout(x_45, 0.0, False, False)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_40 + x_48
+        x_40 = x_48 = None
+        x_50 = x_49.permute(0, 2, 3, 1)
+        x_51 = torch.nn.functional.layer_norm(
+            x_50,
+            (256,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_50 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_52 = x_51.permute(0, 3, 1, 2)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_53, [256, 256, 4], 1)
+        x_53 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_19 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_24 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_15 = input_20 * getitem_24
+        getitem_24 = None
+        ctx_all_12 = 0 + mul_15
+        mul_15 = None
+        input_21 = torch.conv2d(
+            input_20,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        input_20 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_25 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_16 = input_22 * getitem_25
+        getitem_25 = None
+        ctx_all_13 = ctx_all_12 + mul_16
+        ctx_all_12 = mul_16 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        input_22 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_26 = gates_3[(slice(None, None, None), slice(2, 3, None))]
+        mul_17 = input_24 * getitem_26
+        getitem_26 = None
+        ctx_all_14 = ctx_all_13 + mul_17
+        ctx_all_13 = mul_17 = None
+        mean_3 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_27 = gates_3[(slice(None, None, None), slice(3, None, None))]
+        gates_3 = None
+        mul_18 = ctx_global_3 * getitem_27
+        ctx_global_3 = getitem_27 = None
+        ctx_all_15 = ctx_all_14 + mul_18
+        ctx_all_14 = mul_18 = None
+        conv2d_30 = torch.conv2d(
+            ctx_all_15,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_15 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_30
+        q_3 = conv2d_30 = None
+        x_out_10 = torch.conv2d(
+            x_out_9,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_9 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_54 = x_49 + x_out_11
+        x_49 = x_out_11 = None
+        x_55 = x_54.permute(0, 2, 3, 1)
+        x_56 = torch.nn.functional.layer_norm(
+            x_55,
+            (256,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_55 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_57 = x_56.permute(0, 3, 1, 2)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_59 = torch._C._nn.gelu(x_58, approximate="none")
+        x_58 = None
+        x_60 = torch.nn.functional.dropout(x_59, 0.0, False, False)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.dropout(x_61, 0.0, False, False)
+        x_61 = None
+        x_63 = x_54 + x_62
+        x_54 = x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 2, 3, 1)
+        x_64 = None
+        x_66 = torch.nn.functional.layer_norm(
+            x_65,
+            (512,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_65 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_67 = x_66.permute(0, 3, 1, 2)
+        x_66 = None
+        x_68 = x_67.permute(0, 2, 3, 1)
+        x_69 = torch.nn.functional.layer_norm(
+            x_68,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_68 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_70 = x_69.permute(0, 3, 1, 2)
+        x_69 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_71, [512, 512, 4], 1)
+        x_71 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_25 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_31 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_20 = input_26 * getitem_31
+        getitem_31 = None
+        ctx_all_16 = 0 + mul_20
+        mul_20 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_26 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_32 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_21 = input_28 * getitem_32
+        getitem_32 = None
+        ctx_all_17 = ctx_all_16 + mul_21
+        ctx_all_16 = mul_21 = None
+        input_29 = torch.conv2d(
+            input_28,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_28 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_33 = gates_4[(slice(None, None, None), slice(2, 3, None))]
+        mul_22 = input_30 * getitem_33
+        getitem_33 = None
+        ctx_all_18 = ctx_all_17 + mul_22
+        ctx_all_17 = mul_22 = None
+        mean_4 = input_30.mean((2, 3), keepdim=True)
+        input_30 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_34 = gates_4[(slice(None, None, None), slice(3, None, None))]
+        gates_4 = None
+        mul_23 = ctx_global_4 * getitem_34
+        ctx_global_4 = getitem_34 = None
+        ctx_all_19 = ctx_all_18 + mul_23
+        ctx_all_18 = mul_23 = None
+        conv2d_39 = torch.conv2d(
+            ctx_all_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_19 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_39
+        q_4 = conv2d_39 = None
+        x_out_13 = torch.conv2d(
+            x_out_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_12 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_72 = x_67 + x_out_14
+        x_67 = x_out_14 = None
+        x_73 = x_72.permute(0, 2, 3, 1)
+        x_74 = torch.nn.functional.layer_norm(
+            x_73,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_73 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_75 = x_74.permute(0, 3, 1, 2)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_77 = torch._C._nn.gelu(x_76, approximate="none")
+        x_76 = None
+        x_78 = torch.nn.functional.dropout(x_77, 0.0, False, False)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.dropout(x_79, 0.0, False, False)
+        x_79 = None
+        x_81 = x_72 + x_80
+        x_72 = x_80 = None
+        x_82 = x_81.permute(0, 2, 3, 1)
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_82 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_84 = x_83.permute(0, 3, 1, 2)
+        x_83 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_84 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_85, [512, 512, 4], 1)
+        x_85 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_31 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_38 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_25 = input_32 * getitem_38
+        getitem_38 = None
+        ctx_all_20 = 0 + mul_25
+        mul_25 = None
+        input_33 = torch.conv2d(
+            input_32,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_32 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_39 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_26 = input_34 * getitem_39
+        getitem_39 = None
+        ctx_all_21 = ctx_all_20 + mul_26
+        ctx_all_20 = mul_26 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_40 = gates_5[(slice(None, None, None), slice(2, 3, None))]
+        mul_27 = input_36 * getitem_40
+        getitem_40 = None
+        ctx_all_22 = ctx_all_21 + mul_27
+        ctx_all_21 = mul_27 = None
+        mean_5 = input_36.mean((2, 3), keepdim=True)
+        input_36 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_41 = gates_5[(slice(None, None, None), slice(3, None, None))]
+        gates_5 = None
+        mul_28 = ctx_global_5 * getitem_41
+        ctx_global_5 = getitem_41 = None
+        ctx_all_23 = ctx_all_22 + mul_28
+        ctx_all_22 = mul_28 = None
+        conv2d_47 = torch.conv2d(
+            ctx_all_23,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_23 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_47
+        q_5 = conv2d_47 = None
+        x_out_16 = torch.conv2d(
+            x_out_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_15 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_86 = x_81 + x_out_17
+        x_81 = x_out_17 = None
+        x_87 = x_86.permute(0, 2, 3, 1)
+        x_88 = torch.nn.functional.layer_norm(
+            x_87,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_87 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_89 = x_88.permute(0, 3, 1, 2)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_91 = torch._C._nn.gelu(x_90, approximate="none")
+        x_90 = None
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.dropout(x_93, 0.0, False, False)
+        x_93 = None
+        x_95 = x_86 + x_94
+        x_86 = x_94 = None
+        x_96 = x_95.permute(0, 2, 3, 1)
+        x_97 = torch.nn.functional.layer_norm(
+            x_96,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_96 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (None)
+        x_98 = x_97.permute(0, 3, 1, 2)
+        x_97 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_99, [512, 512, 4], 1)
+        x_99 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_37 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_45 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_30 = input_38 * getitem_45
+        getitem_45 = None
+        ctx_all_24 = 0 + mul_30
+        mul_30 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_46 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_31 = input_40 * getitem_46
+        getitem_46 = None
+        ctx_all_25 = ctx_all_24 + mul_31
+        ctx_all_24 = mul_31 = None
+        input_41 = torch.conv2d(
+            input_40,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_40 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_47 = gates_6[(slice(None, None, None), slice(2, 3, None))]
+        mul_32 = input_42 * getitem_47
+        getitem_47 = None
+        ctx_all_26 = ctx_all_25 + mul_32
+        ctx_all_25 = mul_32 = None
+        mean_6 = input_42.mean((2, 3), keepdim=True)
+        input_42 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_48 = gates_6[(slice(None, None, None), slice(3, None, None))]
+        gates_6 = None
+        mul_33 = ctx_global_6 * getitem_48
+        ctx_global_6 = getitem_48 = None
+        ctx_all_27 = ctx_all_26 + mul_33
+        ctx_all_26 = mul_33 = None
+        conv2d_55 = torch.conv2d(
+            ctx_all_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_27 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_55
+        q_6 = conv2d_55 = None
+        x_out_19 = torch.conv2d(
+            x_out_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_18 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_100 = x_95 + x_out_20
+        x_95 = x_out_20 = None
+        x_101 = x_100.permute(0, 2, 3, 1)
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_101 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (None)
+        x_103 = x_102.permute(0, 3, 1, 2)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_105 = torch._C._nn.gelu(x_104, approximate="none")
+        x_104 = None
+        x_106 = torch.nn.functional.dropout(x_105, 0.0, False, False)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.dropout(x_107, 0.0, False, False)
+        x_107 = None
+        x_109 = x_100 + x_108
+        x_100 = x_108 = None
+        x_110 = x_109.permute(0, 2, 3, 1)
+        x_111 = torch.nn.functional.layer_norm(
+            x_110,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_110 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (None)
+        x_112 = x_111.permute(0, 3, 1, 2)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_113, [512, 512, 4], 1)
+        x_113 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_43 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_52 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_35 = input_44 * getitem_52
+        getitem_52 = None
+        ctx_all_28 = 0 + mul_35
+        mul_35 = None
+        input_45 = torch.conv2d(
+            input_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_44 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_53 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_36 = input_46 * getitem_53
+        getitem_53 = None
+        ctx_all_29 = ctx_all_28 + mul_36
+        ctx_all_28 = mul_36 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_46 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_54 = gates_7[(slice(None, None, None), slice(2, 3, None))]
+        mul_37 = input_48 * getitem_54
+        getitem_54 = None
+        ctx_all_30 = ctx_all_29 + mul_37
+        ctx_all_29 = mul_37 = None
+        mean_7 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_55 = gates_7[(slice(None, None, None), slice(3, None, None))]
+        gates_7 = None
+        mul_38 = ctx_global_7 * getitem_55
+        ctx_global_7 = getitem_55 = None
+        ctx_all_31 = ctx_all_30 + mul_38
+        ctx_all_30 = mul_38 = None
+        conv2d_63 = torch.conv2d(
+            ctx_all_31,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_31 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_63
+        q_7 = conv2d_63 = None
+        x_out_22 = torch.conv2d(
+            x_out_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_21 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_114 = x_109 + x_out_23
+        x_109 = x_out_23 = None
+        x_115 = x_114.permute(0, 2, 3, 1)
+        x_116 = torch.nn.functional.layer_norm(
+            x_115,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_115 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (None)
+        x_117 = x_116.permute(0, 3, 1, 2)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_119 = torch._C._nn.gelu(x_118, approximate="none")
+        x_118 = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.dropout(x_121, 0.0, False, False)
+        x_121 = None
+        x_123 = x_114 + x_122
+        x_114 = x_122 = None
+        x_124 = x_123.permute(0, 2, 3, 1)
+        x_125 = torch.nn.functional.layer_norm(
+            x_124,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_124 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (None)
+        x_126 = x_125.permute(0, 3, 1, 2)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_127, [512, 512, 4], 1)
+        x_127 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_49 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_50 = torch._C._nn.gelu(input_49, approximate="none")
+        input_49 = None
+        getitem_59 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_40 = input_50 * getitem_59
+        getitem_59 = None
+        ctx_all_32 = 0 + mul_40
+        mul_40 = None
+        input_51 = torch.conv2d(
+            input_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_50 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_52 = torch._C._nn.gelu(input_51, approximate="none")
+        input_51 = None
+        getitem_60 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_41 = input_52 * getitem_60
+        getitem_60 = None
+        ctx_all_33 = ctx_all_32 + mul_41
+        ctx_all_32 = mul_41 = None
+        input_53 = torch.conv2d(
+            input_52,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_52 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_54 = torch._C._nn.gelu(input_53, approximate="none")
+        input_53 = None
+        getitem_61 = gates_8[(slice(None, None, None), slice(2, 3, None))]
+        mul_42 = input_54 * getitem_61
+        getitem_61 = None
+        ctx_all_34 = ctx_all_33 + mul_42
+        ctx_all_33 = mul_42 = None
+        mean_8 = input_54.mean((2, 3), keepdim=True)
+        input_54 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_62 = gates_8[(slice(None, None, None), slice(3, None, None))]
+        gates_8 = None
+        mul_43 = ctx_global_8 * getitem_62
+        ctx_global_8 = getitem_62 = None
+        ctx_all_35 = ctx_all_34 + mul_43
+        ctx_all_34 = mul_43 = None
+        conv2d_71 = torch.conv2d(
+            ctx_all_35,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_35 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_71
+        q_8 = conv2d_71 = None
+        x_out_25 = torch.conv2d(
+            x_out_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_24 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_128 = x_123 + x_out_26
+        x_123 = x_out_26 = None
+        x_129 = x_128.permute(0, 2, 3, 1)
+        x_130 = torch.nn.functional.layer_norm(
+            x_129,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_129 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (None)
+        x_131 = x_130.permute(0, 3, 1, 2)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_131 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_133 = torch._C._nn.gelu(x_132, approximate="none")
+        x_132 = None
+        x_134 = torch.nn.functional.dropout(x_133, 0.0, False, False)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.dropout(x_135, 0.0, False, False)
+        x_135 = None
+        x_137 = x_128 + x_136
+        x_128 = x_136 = None
+        x_138 = x_137.permute(0, 2, 3, 1)
+        x_139 = torch.nn.functional.layer_norm(
+            x_138,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_138 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (None)
+        x_140 = x_139.permute(0, 3, 1, 2)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_141, [512, 512, 4], 1)
+        x_141 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_55 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_56 = torch._C._nn.gelu(input_55, approximate="none")
+        input_55 = None
+        getitem_66 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_45 = input_56 * getitem_66
+        getitem_66 = None
+        ctx_all_36 = 0 + mul_45
+        mul_45 = None
+        input_57 = torch.conv2d(
+            input_56,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_56 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_58 = torch._C._nn.gelu(input_57, approximate="none")
+        input_57 = None
+        getitem_67 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_46 = input_58 * getitem_67
+        getitem_67 = None
+        ctx_all_37 = ctx_all_36 + mul_46
+        ctx_all_36 = mul_46 = None
+        input_59 = torch.conv2d(
+            input_58,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_58 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_60 = torch._C._nn.gelu(input_59, approximate="none")
+        input_59 = None
+        getitem_68 = gates_9[(slice(None, None, None), slice(2, 3, None))]
+        mul_47 = input_60 * getitem_68
+        getitem_68 = None
+        ctx_all_38 = ctx_all_37 + mul_47
+        ctx_all_37 = mul_47 = None
+        mean_9 = input_60.mean((2, 3), keepdim=True)
+        input_60 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_69 = gates_9[(slice(None, None, None), slice(3, None, None))]
+        gates_9 = None
+        mul_48 = ctx_global_9 * getitem_69
+        ctx_global_9 = getitem_69 = None
+        ctx_all_39 = ctx_all_38 + mul_48
+        ctx_all_38 = mul_48 = None
+        conv2d_79 = torch.conv2d(
+            ctx_all_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_39 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_79
+        q_9 = conv2d_79 = None
+        x_out_28 = torch.conv2d(
+            x_out_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_27 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_142 = x_137 + x_out_29
+        x_137 = x_out_29 = None
+        x_143 = x_142.permute(0, 2, 3, 1)
+        x_144 = torch.nn.functional.layer_norm(
+            x_143,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_143 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (None)
+        x_145 = x_144.permute(0, 3, 1, 2)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_147 = torch._C._nn.gelu(x_146, approximate="none")
+        x_146 = None
+        x_148 = torch.nn.functional.dropout(x_147, 0.0, False, False)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False)
+        x_149 = None
+        x_151 = x_142 + x_150
+        x_142 = x_150 = None
+        x_152 = x_151.permute(0, 2, 3, 1)
+        x_153 = torch.nn.functional.layer_norm(
+            x_152,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_152 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (None)
+        x_154 = x_153.permute(0, 3, 1, 2)
+        x_153 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_154 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_155, [512, 512, 4], 1)
+        x_155 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_61 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_10 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_62 = torch._C._nn.gelu(input_61, approximate="none")
+        input_61 = None
+        getitem_73 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_50 = input_62 * getitem_73
+        getitem_73 = None
+        ctx_all_40 = 0 + mul_50
+        mul_50 = None
+        input_63 = torch.conv2d(
+            input_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_62 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_64 = torch._C._nn.gelu(input_63, approximate="none")
+        input_63 = None
+        getitem_74 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_51 = input_64 * getitem_74
+        getitem_74 = None
+        ctx_all_41 = ctx_all_40 + mul_51
+        ctx_all_40 = mul_51 = None
+        input_65 = torch.conv2d(
+            input_64,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_64 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_66 = torch._C._nn.gelu(input_65, approximate="none")
+        input_65 = None
+        getitem_75 = gates_10[(slice(None, None, None), slice(2, 3, None))]
+        mul_52 = input_66 * getitem_75
+        getitem_75 = None
+        ctx_all_42 = ctx_all_41 + mul_52
+        ctx_all_41 = mul_52 = None
+        mean_10 = input_66.mean((2, 3), keepdim=True)
+        input_66 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_76 = gates_10[(slice(None, None, None), slice(3, None, None))]
+        gates_10 = None
+        mul_53 = ctx_global_10 * getitem_76
+        ctx_global_10 = getitem_76 = None
+        ctx_all_43 = ctx_all_42 + mul_53
+        ctx_all_42 = mul_53 = None
+        conv2d_87 = torch.conv2d(
+            ctx_all_43,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_43 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_87
+        q_10 = conv2d_87 = None
+        x_out_31 = torch.conv2d(
+            x_out_30,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_30 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_156 = x_151 + x_out_32
+        x_151 = x_out_32 = None
+        x_157 = x_156.permute(0, 2, 3, 1)
+        x_158 = torch.nn.functional.layer_norm(
+            x_157,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_157 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (None)
+        x_159 = x_158.permute(0, 3, 1, 2)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_161 = torch._C._nn.gelu(x_160, approximate="none")
+        x_160 = None
+        x_162 = torch.nn.functional.dropout(x_161, 0.0, False, False)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_164 = torch.nn.functional.dropout(x_163, 0.0, False, False)
+        x_163 = None
+        x_165 = x_156 + x_164
+        x_156 = x_164 = None
+        x_166 = x_165.permute(0, 2, 3, 1)
+        x_167 = torch.nn.functional.layer_norm(
+            x_166,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_166 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (None)
+        x_168 = x_167.permute(0, 3, 1, 2)
+        x_167 = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_168 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_169, [512, 512, 4], 1)
+        x_169 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_67 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_11 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_68 = torch._C._nn.gelu(input_67, approximate="none")
+        input_67 = None
+        getitem_80 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_55 = input_68 * getitem_80
+        getitem_80 = None
+        ctx_all_44 = 0 + mul_55
+        mul_55 = None
+        input_69 = torch.conv2d(
+            input_68,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_68 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_70 = torch._C._nn.gelu(input_69, approximate="none")
+        input_69 = None
+        getitem_81 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_56 = input_70 * getitem_81
+        getitem_81 = None
+        ctx_all_45 = ctx_all_44 + mul_56
+        ctx_all_44 = mul_56 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_70 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_72 = torch._C._nn.gelu(input_71, approximate="none")
+        input_71 = None
+        getitem_82 = gates_11[(slice(None, None, None), slice(2, 3, None))]
+        mul_57 = input_72 * getitem_82
+        getitem_82 = None
+        ctx_all_46 = ctx_all_45 + mul_57
+        ctx_all_45 = mul_57 = None
+        mean_11 = input_72.mean((2, 3), keepdim=True)
+        input_72 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_83 = gates_11[(slice(None, None, None), slice(3, None, None))]
+        gates_11 = None
+        mul_58 = ctx_global_11 * getitem_83
+        ctx_global_11 = getitem_83 = None
+        ctx_all_47 = ctx_all_46 + mul_58
+        ctx_all_46 = mul_58 = None
+        conv2d_95 = torch.conv2d(
+            ctx_all_47,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_47 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_95
+        q_11 = conv2d_95 = None
+        x_out_34 = torch.conv2d(
+            x_out_33,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_33 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_170 = x_165 + x_out_35
+        x_165 = x_out_35 = None
+        x_171 = x_170.permute(0, 2, 3, 1)
+        x_172 = torch.nn.functional.layer_norm(
+            x_171,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_171 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (None)
+        x_173 = x_172.permute(0, 3, 1, 2)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_175 = torch._C._nn.gelu(x_174, approximate="none")
+        x_174 = None
+        x_176 = torch.nn.functional.dropout(x_175, 0.0, False, False)
+        x_175 = None
+        x_177 = torch.conv2d(
+            x_176,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_176 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_178 = torch.nn.functional.dropout(x_177, 0.0, False, False)
+        x_177 = None
+        x_179 = x_170 + x_178
+        x_170 = x_178 = None
+        x_180 = x_179.permute(0, 2, 3, 1)
+        x_181 = torch.nn.functional.layer_norm(
+            x_180,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_180 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (None)
+        x_182 = x_181.permute(0, 3, 1, 2)
+        x_181 = None
+        x_183 = torch.conv2d(
+            x_182,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_182 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_12 = torch.functional.split(x_183, [512, 512, 4], 1)
+        x_183 = None
+        q_12 = split_12[0]
+        ctx_12 = split_12[1]
+        gates_12 = split_12[2]
+        split_12 = None
+        input_73 = torch.conv2d(
+            ctx_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_12 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_74 = torch._C._nn.gelu(input_73, approximate="none")
+        input_73 = None
+        getitem_87 = gates_12[(slice(None, None, None), slice(0, 1, None))]
+        mul_60 = input_74 * getitem_87
+        getitem_87 = None
+        ctx_all_48 = 0 + mul_60
+        mul_60 = None
+        input_75 = torch.conv2d(
+            input_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_74 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_76 = torch._C._nn.gelu(input_75, approximate="none")
+        input_75 = None
+        getitem_88 = gates_12[(slice(None, None, None), slice(1, 2, None))]
+        mul_61 = input_76 * getitem_88
+        getitem_88 = None
+        ctx_all_49 = ctx_all_48 + mul_61
+        ctx_all_48 = mul_61 = None
+        input_77 = torch.conv2d(
+            input_76,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_76 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_78 = torch._C._nn.gelu(input_77, approximate="none")
+        input_77 = None
+        getitem_89 = gates_12[(slice(None, None, None), slice(2, 3, None))]
+        mul_62 = input_78 * getitem_89
+        getitem_89 = None
+        ctx_all_50 = ctx_all_49 + mul_62
+        ctx_all_49 = mul_62 = None
+        mean_12 = input_78.mean((2, 3), keepdim=True)
+        input_78 = None
+        ctx_global_12 = torch._C._nn.gelu(mean_12, approximate="none")
+        mean_12 = None
+        getitem_90 = gates_12[(slice(None, None, None), slice(3, None, None))]
+        gates_12 = None
+        mul_63 = ctx_global_12 * getitem_90
+        ctx_global_12 = getitem_90 = None
+        ctx_all_51 = ctx_all_50 + mul_63
+        ctx_all_50 = mul_63 = None
+        conv2d_103 = torch.conv2d(
+            ctx_all_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_51 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_36 = q_12 * conv2d_103
+        q_12 = conv2d_103 = None
+        x_out_37 = torch.conv2d(
+            x_out_36,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_36 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_38 = torch.nn.functional.dropout(x_out_37, 0.0, False, False)
+        x_out_37 = None
+        x_184 = x_179 + x_out_38
+        x_179 = x_out_38 = None
+        x_185 = x_184.permute(0, 2, 3, 1)
+        x_186 = torch.nn.functional.layer_norm(
+            x_185,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_185 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (None)
+        x_187 = x_186.permute(0, 3, 1, 2)
+        x_186 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_187 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_189 = torch._C._nn.gelu(x_188, approximate="none")
+        x_188 = None
+        x_190 = torch.nn.functional.dropout(x_189, 0.0, False, False)
+        x_189 = None
+        x_191 = torch.conv2d(
+            x_190,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_190 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_192 = torch.nn.functional.dropout(x_191, 0.0, False, False)
+        x_191 = None
+        x_193 = x_184 + x_192
+        x_184 = x_192 = None
+        x_194 = x_193.permute(0, 2, 3, 1)
+        x_195 = torch.nn.functional.layer_norm(
+            x_194,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_194 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (None)
+        x_196 = x_195.permute(0, 3, 1, 2)
+        x_195 = None
+        x_197 = torch.conv2d(
+            x_196,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_196 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_13 = torch.functional.split(x_197, [512, 512, 4], 1)
+        x_197 = None
+        q_13 = split_13[0]
+        ctx_13 = split_13[1]
+        gates_13 = split_13[2]
+        split_13 = None
+        input_79 = torch.conv2d(
+            ctx_13,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_13 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_80 = torch._C._nn.gelu(input_79, approximate="none")
+        input_79 = None
+        getitem_94 = gates_13[(slice(None, None, None), slice(0, 1, None))]
+        mul_65 = input_80 * getitem_94
+        getitem_94 = None
+        ctx_all_52 = 0 + mul_65
+        mul_65 = None
+        input_81 = torch.conv2d(
+            input_80,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_80 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_82 = torch._C._nn.gelu(input_81, approximate="none")
+        input_81 = None
+        getitem_95 = gates_13[(slice(None, None, None), slice(1, 2, None))]
+        mul_66 = input_82 * getitem_95
+        getitem_95 = None
+        ctx_all_53 = ctx_all_52 + mul_66
+        ctx_all_52 = mul_66 = None
+        input_83 = torch.conv2d(
+            input_82,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_82 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_84 = torch._C._nn.gelu(input_83, approximate="none")
+        input_83 = None
+        getitem_96 = gates_13[(slice(None, None, None), slice(2, 3, None))]
+        mul_67 = input_84 * getitem_96
+        getitem_96 = None
+        ctx_all_54 = ctx_all_53 + mul_67
+        ctx_all_53 = mul_67 = None
+        mean_13 = input_84.mean((2, 3), keepdim=True)
+        input_84 = None
+        ctx_global_13 = torch._C._nn.gelu(mean_13, approximate="none")
+        mean_13 = None
+        getitem_97 = gates_13[(slice(None, None, None), slice(3, None, None))]
+        gates_13 = None
+        mul_68 = ctx_global_13 * getitem_97
+        ctx_global_13 = getitem_97 = None
+        ctx_all_55 = ctx_all_54 + mul_68
+        ctx_all_54 = mul_68 = None
+        conv2d_111 = torch.conv2d(
+            ctx_all_55,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_55 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_39 = q_13 * conv2d_111
+        q_13 = conv2d_111 = None
+        x_out_40 = torch.conv2d(
+            x_out_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_39 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_41 = torch.nn.functional.dropout(x_out_40, 0.0, False, False)
+        x_out_40 = None
+        x_198 = x_193 + x_out_41
+        x_193 = x_out_41 = None
+        x_199 = x_198.permute(0, 2, 3, 1)
+        x_200 = torch.nn.functional.layer_norm(
+            x_199,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_199 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (None)
+        x_201 = x_200.permute(0, 3, 1, 2)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_201 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_203 = torch._C._nn.gelu(x_202, approximate="none")
+        x_202 = None
+        x_204 = torch.nn.functional.dropout(x_203, 0.0, False, False)
+        x_203 = None
+        x_205 = torch.conv2d(
+            x_204,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_204 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_206 = torch.nn.functional.dropout(x_205, 0.0, False, False)
+        x_205 = None
+        x_207 = x_198 + x_206
+        x_198 = x_206 = None
+        x_208 = x_207.permute(0, 2, 3, 1)
+        x_209 = torch.nn.functional.layer_norm(
+            x_208,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_208 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (None)
+        x_210 = x_209.permute(0, 3, 1, 2)
+        x_209 = None
+        x_211 = torch.conv2d(
+            x_210,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_210 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_14 = torch.functional.split(x_211, [512, 512, 4], 1)
+        x_211 = None
+        q_14 = split_14[0]
+        ctx_14 = split_14[1]
+        gates_14 = split_14[2]
+        split_14 = None
+        input_85 = torch.conv2d(
+            ctx_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_14 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_86 = torch._C._nn.gelu(input_85, approximate="none")
+        input_85 = None
+        getitem_101 = gates_14[(slice(None, None, None), slice(0, 1, None))]
+        mul_70 = input_86 * getitem_101
+        getitem_101 = None
+        ctx_all_56 = 0 + mul_70
+        mul_70 = None
+        input_87 = torch.conv2d(
+            input_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_86 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_88 = torch._C._nn.gelu(input_87, approximate="none")
+        input_87 = None
+        getitem_102 = gates_14[(slice(None, None, None), slice(1, 2, None))]
+        mul_71 = input_88 * getitem_102
+        getitem_102 = None
+        ctx_all_57 = ctx_all_56 + mul_71
+        ctx_all_56 = mul_71 = None
+        input_89 = torch.conv2d(
+            input_88,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_88 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_90 = torch._C._nn.gelu(input_89, approximate="none")
+        input_89 = None
+        getitem_103 = gates_14[(slice(None, None, None), slice(2, 3, None))]
+        mul_72 = input_90 * getitem_103
+        getitem_103 = None
+        ctx_all_58 = ctx_all_57 + mul_72
+        ctx_all_57 = mul_72 = None
+        mean_14 = input_90.mean((2, 3), keepdim=True)
+        input_90 = None
+        ctx_global_14 = torch._C._nn.gelu(mean_14, approximate="none")
+        mean_14 = None
+        getitem_104 = gates_14[(slice(None, None, None), slice(3, None, None))]
+        gates_14 = None
+        mul_73 = ctx_global_14 * getitem_104
+        ctx_global_14 = getitem_104 = None
+        ctx_all_59 = ctx_all_58 + mul_73
+        ctx_all_58 = mul_73 = None
+        conv2d_119 = torch.conv2d(
+            ctx_all_59,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_59 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_42 = q_14 * conv2d_119
+        q_14 = conv2d_119 = None
+        x_out_43 = torch.conv2d(
+            x_out_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_42 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_44 = torch.nn.functional.dropout(x_out_43, 0.0, False, False)
+        x_out_43 = None
+        x_212 = x_207 + x_out_44
+        x_207 = x_out_44 = None
+        x_213 = x_212.permute(0, 2, 3, 1)
+        x_214 = torch.nn.functional.layer_norm(
+            x_213,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_213 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (None)
+        x_215 = x_214.permute(0, 3, 1, 2)
+        x_214 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_215 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_217 = torch._C._nn.gelu(x_216, approximate="none")
+        x_216 = None
+        x_218 = torch.nn.functional.dropout(x_217, 0.0, False, False)
+        x_217 = None
+        x_219 = torch.conv2d(
+            x_218,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_218 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_220 = torch.nn.functional.dropout(x_219, 0.0, False, False)
+        x_219 = None
+        x_221 = x_212 + x_220
+        x_212 = x_220 = None
+        x_222 = x_221.permute(0, 2, 3, 1)
+        x_223 = torch.nn.functional.layer_norm(
+            x_222,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_222 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (None)
+        x_224 = x_223.permute(0, 3, 1, 2)
+        x_223 = None
+        x_225 = torch.conv2d(
+            x_224,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_224 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_15 = torch.functional.split(x_225, [512, 512, 4], 1)
+        x_225 = None
+        q_15 = split_15[0]
+        ctx_15 = split_15[1]
+        gates_15 = split_15[2]
+        split_15 = None
+        input_91 = torch.conv2d(
+            ctx_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_15 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_92 = torch._C._nn.gelu(input_91, approximate="none")
+        input_91 = None
+        getitem_108 = gates_15[(slice(None, None, None), slice(0, 1, None))]
+        mul_75 = input_92 * getitem_108
+        getitem_108 = None
+        ctx_all_60 = 0 + mul_75
+        mul_75 = None
+        input_93 = torch.conv2d(
+            input_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_92 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_94 = torch._C._nn.gelu(input_93, approximate="none")
+        input_93 = None
+        getitem_109 = gates_15[(slice(None, None, None), slice(1, 2, None))]
+        mul_76 = input_94 * getitem_109
+        getitem_109 = None
+        ctx_all_61 = ctx_all_60 + mul_76
+        ctx_all_60 = mul_76 = None
+        input_95 = torch.conv2d(
+            input_94,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_94 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_96 = torch._C._nn.gelu(input_95, approximate="none")
+        input_95 = None
+        getitem_110 = gates_15[(slice(None, None, None), slice(2, 3, None))]
+        mul_77 = input_96 * getitem_110
+        getitem_110 = None
+        ctx_all_62 = ctx_all_61 + mul_77
+        ctx_all_61 = mul_77 = None
+        mean_15 = input_96.mean((2, 3), keepdim=True)
+        input_96 = None
+        ctx_global_15 = torch._C._nn.gelu(mean_15, approximate="none")
+        mean_15 = None
+        getitem_111 = gates_15[(slice(None, None, None), slice(3, None, None))]
+        gates_15 = None
+        mul_78 = ctx_global_15 * getitem_111
+        ctx_global_15 = getitem_111 = None
+        ctx_all_63 = ctx_all_62 + mul_78
+        ctx_all_62 = mul_78 = None
+        conv2d_127 = torch.conv2d(
+            ctx_all_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_63 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_45 = q_15 * conv2d_127
+        q_15 = conv2d_127 = None
+        x_out_46 = torch.conv2d(
+            x_out_45,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_45 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_47 = torch.nn.functional.dropout(x_out_46, 0.0, False, False)
+        x_out_46 = None
+        x_226 = x_221 + x_out_47
+        x_221 = x_out_47 = None
+        x_227 = x_226.permute(0, 2, 3, 1)
+        x_228 = torch.nn.functional.layer_norm(
+            x_227,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_227 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (None)
+        x_229 = x_228.permute(0, 3, 1, 2)
+        x_228 = None
+        x_230 = torch.conv2d(
+            x_229,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_229 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_231 = torch._C._nn.gelu(x_230, approximate="none")
+        x_230 = None
+        x_232 = torch.nn.functional.dropout(x_231, 0.0, False, False)
+        x_231 = None
+        x_233 = torch.conv2d(
+            x_232,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_232 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_234 = torch.nn.functional.dropout(x_233, 0.0, False, False)
+        x_233 = None
+        x_235 = x_226 + x_234
+        x_226 = x_234 = None
+        x_236 = x_235.permute(0, 2, 3, 1)
+        x_237 = torch.nn.functional.layer_norm(
+            x_236,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_236 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_ = (None)
+        x_238 = x_237.permute(0, 3, 1, 2)
+        x_237 = None
+        x_239 = torch.conv2d(
+            x_238,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_238 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_16 = torch.functional.split(x_239, [512, 512, 4], 1)
+        x_239 = None
+        q_16 = split_16[0]
+        ctx_16 = split_16[1]
+        gates_16 = split_16[2]
+        split_16 = None
+        input_97 = torch.conv2d(
+            ctx_16,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_16 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_98 = torch._C._nn.gelu(input_97, approximate="none")
+        input_97 = None
+        getitem_115 = gates_16[(slice(None, None, None), slice(0, 1, None))]
+        mul_80 = input_98 * getitem_115
+        getitem_115 = None
+        ctx_all_64 = 0 + mul_80
+        mul_80 = None
+        input_99 = torch.conv2d(
+            input_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_98 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_100 = torch._C._nn.gelu(input_99, approximate="none")
+        input_99 = None
+        getitem_116 = gates_16[(slice(None, None, None), slice(1, 2, None))]
+        mul_81 = input_100 * getitem_116
+        getitem_116 = None
+        ctx_all_65 = ctx_all_64 + mul_81
+        ctx_all_64 = mul_81 = None
+        input_101 = torch.conv2d(
+            input_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_100 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_102 = torch._C._nn.gelu(input_101, approximate="none")
+        input_101 = None
+        getitem_117 = gates_16[(slice(None, None, None), slice(2, 3, None))]
+        mul_82 = input_102 * getitem_117
+        getitem_117 = None
+        ctx_all_66 = ctx_all_65 + mul_82
+        ctx_all_65 = mul_82 = None
+        mean_16 = input_102.mean((2, 3), keepdim=True)
+        input_102 = None
+        ctx_global_16 = torch._C._nn.gelu(mean_16, approximate="none")
+        mean_16 = None
+        getitem_118 = gates_16[(slice(None, None, None), slice(3, None, None))]
+        gates_16 = None
+        mul_83 = ctx_global_16 * getitem_118
+        ctx_global_16 = getitem_118 = None
+        ctx_all_67 = ctx_all_66 + mul_83
+        ctx_all_66 = mul_83 = None
+        conv2d_135 = torch.conv2d(
+            ctx_all_67,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_67 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_48 = q_16 * conv2d_135
+        q_16 = conv2d_135 = None
+        x_out_49 = torch.conv2d(
+            x_out_48,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_48 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_50 = torch.nn.functional.dropout(x_out_49, 0.0, False, False)
+        x_out_49 = None
+        x_240 = x_235 + x_out_50
+        x_235 = x_out_50 = None
+        x_241 = x_240.permute(0, 2, 3, 1)
+        x_242 = torch.nn.functional.layer_norm(
+            x_241,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_241 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_ = (None)
+        x_243 = x_242.permute(0, 3, 1, 2)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_243 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_245 = torch._C._nn.gelu(x_244, approximate="none")
+        x_244 = None
+        x_246 = torch.nn.functional.dropout(x_245, 0.0, False, False)
+        x_245 = None
+        x_247 = torch.conv2d(
+            x_246,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_246 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_248 = torch.nn.functional.dropout(x_247, 0.0, False, False)
+        x_247 = None
+        x_249 = x_240 + x_248
+        x_240 = x_248 = None
+        x_250 = x_249.permute(0, 2, 3, 1)
+        x_251 = torch.nn.functional.layer_norm(
+            x_250,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_250 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_ = (None)
+        x_252 = x_251.permute(0, 3, 1, 2)
+        x_251 = None
+        x_253 = torch.conv2d(
+            x_252,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_252 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_17 = torch.functional.split(x_253, [512, 512, 4], 1)
+        x_253 = None
+        q_17 = split_17[0]
+        ctx_17 = split_17[1]
+        gates_17 = split_17[2]
+        split_17 = None
+        input_103 = torch.conv2d(
+            ctx_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_17 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_104 = torch._C._nn.gelu(input_103, approximate="none")
+        input_103 = None
+        getitem_122 = gates_17[(slice(None, None, None), slice(0, 1, None))]
+        mul_85 = input_104 * getitem_122
+        getitem_122 = None
+        ctx_all_68 = 0 + mul_85
+        mul_85 = None
+        input_105 = torch.conv2d(
+            input_104,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_104 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_106 = torch._C._nn.gelu(input_105, approximate="none")
+        input_105 = None
+        getitem_123 = gates_17[(slice(None, None, None), slice(1, 2, None))]
+        mul_86 = input_106 * getitem_123
+        getitem_123 = None
+        ctx_all_69 = ctx_all_68 + mul_86
+        ctx_all_68 = mul_86 = None
+        input_107 = torch.conv2d(
+            input_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_106 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_108 = torch._C._nn.gelu(input_107, approximate="none")
+        input_107 = None
+        getitem_124 = gates_17[(slice(None, None, None), slice(2, 3, None))]
+        mul_87 = input_108 * getitem_124
+        getitem_124 = None
+        ctx_all_70 = ctx_all_69 + mul_87
+        ctx_all_69 = mul_87 = None
+        mean_17 = input_108.mean((2, 3), keepdim=True)
+        input_108 = None
+        ctx_global_17 = torch._C._nn.gelu(mean_17, approximate="none")
+        mean_17 = None
+        getitem_125 = gates_17[(slice(None, None, None), slice(3, None, None))]
+        gates_17 = None
+        mul_88 = ctx_global_17 * getitem_125
+        ctx_global_17 = getitem_125 = None
+        ctx_all_71 = ctx_all_70 + mul_88
+        ctx_all_70 = mul_88 = None
+        conv2d_143 = torch.conv2d(
+            ctx_all_71,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_71 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_51 = q_17 * conv2d_143
+        q_17 = conv2d_143 = None
+        x_out_52 = torch.conv2d(
+            x_out_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_51 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_53 = torch.nn.functional.dropout(x_out_52, 0.0, False, False)
+        x_out_52 = None
+        x_254 = x_249 + x_out_53
+        x_249 = x_out_53 = None
+        x_255 = x_254.permute(0, 2, 3, 1)
+        x_256 = torch.nn.functional.layer_norm(
+            x_255,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_255 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_ = (None)
+        x_257 = x_256.permute(0, 3, 1, 2)
+        x_256 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_257 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_259 = torch._C._nn.gelu(x_258, approximate="none")
+        x_258 = None
+        x_260 = torch.nn.functional.dropout(x_259, 0.0, False, False)
+        x_259 = None
+        x_261 = torch.conv2d(
+            x_260,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_260 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_262 = torch.nn.functional.dropout(x_261, 0.0, False, False)
+        x_261 = None
+        x_263 = x_254 + x_262
+        x_254 = x_262 = None
+        x_264 = x_263.permute(0, 2, 3, 1)
+        x_265 = torch.nn.functional.layer_norm(
+            x_264,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_264 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_ = (None)
+        x_266 = x_265.permute(0, 3, 1, 2)
+        x_265 = None
+        x_267 = torch.conv2d(
+            x_266,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_266 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_18 = torch.functional.split(x_267, [512, 512, 4], 1)
+        x_267 = None
+        q_18 = split_18[0]
+        ctx_18 = split_18[1]
+        gates_18 = split_18[2]
+        split_18 = None
+        input_109 = torch.conv2d(
+            ctx_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_18 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_110 = torch._C._nn.gelu(input_109, approximate="none")
+        input_109 = None
+        getitem_129 = gates_18[(slice(None, None, None), slice(0, 1, None))]
+        mul_90 = input_110 * getitem_129
+        getitem_129 = None
+        ctx_all_72 = 0 + mul_90
+        mul_90 = None
+        input_111 = torch.conv2d(
+            input_110,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_110 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_112 = torch._C._nn.gelu(input_111, approximate="none")
+        input_111 = None
+        getitem_130 = gates_18[(slice(None, None, None), slice(1, 2, None))]
+        mul_91 = input_112 * getitem_130
+        getitem_130 = None
+        ctx_all_73 = ctx_all_72 + mul_91
+        ctx_all_72 = mul_91 = None
+        input_113 = torch.conv2d(
+            input_112,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_112 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_114 = torch._C._nn.gelu(input_113, approximate="none")
+        input_113 = None
+        getitem_131 = gates_18[(slice(None, None, None), slice(2, 3, None))]
+        mul_92 = input_114 * getitem_131
+        getitem_131 = None
+        ctx_all_74 = ctx_all_73 + mul_92
+        ctx_all_73 = mul_92 = None
+        mean_18 = input_114.mean((2, 3), keepdim=True)
+        input_114 = None
+        ctx_global_18 = torch._C._nn.gelu(mean_18, approximate="none")
+        mean_18 = None
+        getitem_132 = gates_18[(slice(None, None, None), slice(3, None, None))]
+        gates_18 = None
+        mul_93 = ctx_global_18 * getitem_132
+        ctx_global_18 = getitem_132 = None
+        ctx_all_75 = ctx_all_74 + mul_93
+        ctx_all_74 = mul_93 = None
+        conv2d_151 = torch.conv2d(
+            ctx_all_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_75 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_54 = q_18 * conv2d_151
+        q_18 = conv2d_151 = None
+        x_out_55 = torch.conv2d(
+            x_out_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_54 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_56 = torch.nn.functional.dropout(x_out_55, 0.0, False, False)
+        x_out_55 = None
+        x_268 = x_263 + x_out_56
+        x_263 = x_out_56 = None
+        x_269 = x_268.permute(0, 2, 3, 1)
+        x_270 = torch.nn.functional.layer_norm(
+            x_269,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_269 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_ = (None)
+        x_271 = x_270.permute(0, 3, 1, 2)
+        x_270 = None
+        x_272 = torch.conv2d(
+            x_271,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_271 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_273 = torch._C._nn.gelu(x_272, approximate="none")
+        x_272 = None
+        x_274 = torch.nn.functional.dropout(x_273, 0.0, False, False)
+        x_273 = None
+        x_275 = torch.conv2d(
+            x_274,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_274 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_276 = torch.nn.functional.dropout(x_275, 0.0, False, False)
+        x_275 = None
+        x_277 = x_268 + x_276
+        x_268 = x_276 = None
+        x_278 = x_277.permute(0, 2, 3, 1)
+        x_279 = torch.nn.functional.layer_norm(
+            x_278,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_278 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_ = (None)
+        x_280 = x_279.permute(0, 3, 1, 2)
+        x_279 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_280 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_19 = torch.functional.split(x_281, [512, 512, 4], 1)
+        x_281 = None
+        q_19 = split_19[0]
+        ctx_19 = split_19[1]
+        gates_19 = split_19[2]
+        split_19 = None
+        input_115 = torch.conv2d(
+            ctx_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_19 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_116 = torch._C._nn.gelu(input_115, approximate="none")
+        input_115 = None
+        getitem_136 = gates_19[(slice(None, None, None), slice(0, 1, None))]
+        mul_95 = input_116 * getitem_136
+        getitem_136 = None
+        ctx_all_76 = 0 + mul_95
+        mul_95 = None
+        input_117 = torch.conv2d(
+            input_116,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_116 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_118 = torch._C._nn.gelu(input_117, approximate="none")
+        input_117 = None
+        getitem_137 = gates_19[(slice(None, None, None), slice(1, 2, None))]
+        mul_96 = input_118 * getitem_137
+        getitem_137 = None
+        ctx_all_77 = ctx_all_76 + mul_96
+        ctx_all_76 = mul_96 = None
+        input_119 = torch.conv2d(
+            input_118,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_118 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_120 = torch._C._nn.gelu(input_119, approximate="none")
+        input_119 = None
+        getitem_138 = gates_19[(slice(None, None, None), slice(2, 3, None))]
+        mul_97 = input_120 * getitem_138
+        getitem_138 = None
+        ctx_all_78 = ctx_all_77 + mul_97
+        ctx_all_77 = mul_97 = None
+        mean_19 = input_120.mean((2, 3), keepdim=True)
+        input_120 = None
+        ctx_global_19 = torch._C._nn.gelu(mean_19, approximate="none")
+        mean_19 = None
+        getitem_139 = gates_19[(slice(None, None, None), slice(3, None, None))]
+        gates_19 = None
+        mul_98 = ctx_global_19 * getitem_139
+        ctx_global_19 = getitem_139 = None
+        ctx_all_79 = ctx_all_78 + mul_98
+        ctx_all_78 = mul_98 = None
+        conv2d_159 = torch.conv2d(
+            ctx_all_79,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_79 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_57 = q_19 * conv2d_159
+        q_19 = conv2d_159 = None
+        x_out_58 = torch.conv2d(
+            x_out_57,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_57 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_59 = torch.nn.functional.dropout(x_out_58, 0.0, False, False)
+        x_out_58 = None
+        x_282 = x_277 + x_out_59
+        x_277 = x_out_59 = None
+        x_283 = x_282.permute(0, 2, 3, 1)
+        x_284 = torch.nn.functional.layer_norm(
+            x_283,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_283 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_ = (None)
+        x_285 = x_284.permute(0, 3, 1, 2)
+        x_284 = None
+        x_286 = torch.conv2d(
+            x_285,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_285 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_287 = torch._C._nn.gelu(x_286, approximate="none")
+        x_286 = None
+        x_288 = torch.nn.functional.dropout(x_287, 0.0, False, False)
+        x_287 = None
+        x_289 = torch.conv2d(
+            x_288,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_288 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_290 = torch.nn.functional.dropout(x_289, 0.0, False, False)
+        x_289 = None
+        x_291 = x_282 + x_290
+        x_282 = x_290 = None
+        x_292 = x_291.permute(0, 2, 3, 1)
+        x_293 = torch.nn.functional.layer_norm(
+            x_292,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_292 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_ = (None)
+        x_294 = x_293.permute(0, 3, 1, 2)
+        x_293 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_20 = torch.functional.split(x_295, [512, 512, 4], 1)
+        x_295 = None
+        q_20 = split_20[0]
+        ctx_20 = split_20[1]
+        gates_20 = split_20[2]
+        split_20 = None
+        input_121 = torch.conv2d(
+            ctx_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_20 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_122 = torch._C._nn.gelu(input_121, approximate="none")
+        input_121 = None
+        getitem_143 = gates_20[(slice(None, None, None), slice(0, 1, None))]
+        mul_100 = input_122 * getitem_143
+        getitem_143 = None
+        ctx_all_80 = 0 + mul_100
+        mul_100 = None
+        input_123 = torch.conv2d(
+            input_122,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_122 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_124 = torch._C._nn.gelu(input_123, approximate="none")
+        input_123 = None
+        getitem_144 = gates_20[(slice(None, None, None), slice(1, 2, None))]
+        mul_101 = input_124 * getitem_144
+        getitem_144 = None
+        ctx_all_81 = ctx_all_80 + mul_101
+        ctx_all_80 = mul_101 = None
+        input_125 = torch.conv2d(
+            input_124,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_124 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_126 = torch._C._nn.gelu(input_125, approximate="none")
+        input_125 = None
+        getitem_145 = gates_20[(slice(None, None, None), slice(2, 3, None))]
+        mul_102 = input_126 * getitem_145
+        getitem_145 = None
+        ctx_all_82 = ctx_all_81 + mul_102
+        ctx_all_81 = mul_102 = None
+        mean_20 = input_126.mean((2, 3), keepdim=True)
+        input_126 = None
+        ctx_global_20 = torch._C._nn.gelu(mean_20, approximate="none")
+        mean_20 = None
+        getitem_146 = gates_20[(slice(None, None, None), slice(3, None, None))]
+        gates_20 = None
+        mul_103 = ctx_global_20 * getitem_146
+        ctx_global_20 = getitem_146 = None
+        ctx_all_83 = ctx_all_82 + mul_103
+        ctx_all_82 = mul_103 = None
+        conv2d_167 = torch.conv2d(
+            ctx_all_83,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_83 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_60 = q_20 * conv2d_167
+        q_20 = conv2d_167 = None
+        x_out_61 = torch.conv2d(
+            x_out_60,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_60 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_62 = torch.nn.functional.dropout(x_out_61, 0.0, False, False)
+        x_out_61 = None
+        x_296 = x_291 + x_out_62
+        x_291 = x_out_62 = None
+        x_297 = x_296.permute(0, 2, 3, 1)
+        x_298 = torch.nn.functional.layer_norm(
+            x_297,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_297 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_ = (None)
+        x_299 = x_298.permute(0, 3, 1, 2)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_299 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_301 = torch._C._nn.gelu(x_300, approximate="none")
+        x_300 = None
+        x_302 = torch.nn.functional.dropout(x_301, 0.0, False, False)
+        x_301 = None
+        x_303 = torch.conv2d(
+            x_302,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_302 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_304 = torch.nn.functional.dropout(x_303, 0.0, False, False)
+        x_303 = None
+        x_305 = x_296 + x_304
+        x_296 = x_304 = None
+        x_306 = x_305.permute(0, 2, 3, 1)
+        x_307 = torch.nn.functional.layer_norm(
+            x_306,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_306 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_ = (None)
+        x_308 = x_307.permute(0, 3, 1, 2)
+        x_307 = None
+        x_309 = torch.conv2d(
+            x_308,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_308 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_21 = torch.functional.split(x_309, [512, 512, 4], 1)
+        x_309 = None
+        q_21 = split_21[0]
+        ctx_21 = split_21[1]
+        gates_21 = split_21[2]
+        split_21 = None
+        input_127 = torch.conv2d(
+            ctx_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_21 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_128 = torch._C._nn.gelu(input_127, approximate="none")
+        input_127 = None
+        getitem_150 = gates_21[(slice(None, None, None), slice(0, 1, None))]
+        mul_105 = input_128 * getitem_150
+        getitem_150 = None
+        ctx_all_84 = 0 + mul_105
+        mul_105 = None
+        input_129 = torch.conv2d(
+            input_128,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_128 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_130 = torch._C._nn.gelu(input_129, approximate="none")
+        input_129 = None
+        getitem_151 = gates_21[(slice(None, None, None), slice(1, 2, None))]
+        mul_106 = input_130 * getitem_151
+        getitem_151 = None
+        ctx_all_85 = ctx_all_84 + mul_106
+        ctx_all_84 = mul_106 = None
+        input_131 = torch.conv2d(
+            input_130,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_130 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_132 = torch._C._nn.gelu(input_131, approximate="none")
+        input_131 = None
+        getitem_152 = gates_21[(slice(None, None, None), slice(2, 3, None))]
+        mul_107 = input_132 * getitem_152
+        getitem_152 = None
+        ctx_all_86 = ctx_all_85 + mul_107
+        ctx_all_85 = mul_107 = None
+        mean_21 = input_132.mean((2, 3), keepdim=True)
+        input_132 = None
+        ctx_global_21 = torch._C._nn.gelu(mean_21, approximate="none")
+        mean_21 = None
+        getitem_153 = gates_21[(slice(None, None, None), slice(3, None, None))]
+        gates_21 = None
+        mul_108 = ctx_global_21 * getitem_153
+        ctx_global_21 = getitem_153 = None
+        ctx_all_87 = ctx_all_86 + mul_108
+        ctx_all_86 = mul_108 = None
+        conv2d_175 = torch.conv2d(
+            ctx_all_87,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_87 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_63 = q_21 * conv2d_175
+        q_21 = conv2d_175 = None
+        x_out_64 = torch.conv2d(
+            x_out_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_63 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_65 = torch.nn.functional.dropout(x_out_64, 0.0, False, False)
+        x_out_64 = None
+        x_310 = x_305 + x_out_65
+        x_305 = x_out_65 = None
+        x_311 = x_310.permute(0, 2, 3, 1)
+        x_312 = torch.nn.functional.layer_norm(
+            x_311,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_311 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_ = (None)
+        x_313 = x_312.permute(0, 3, 1, 2)
+        x_312 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_315 = torch._C._nn.gelu(x_314, approximate="none")
+        x_314 = None
+        x_316 = torch.nn.functional.dropout(x_315, 0.0, False, False)
+        x_315 = None
+        x_317 = torch.conv2d(
+            x_316,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_316 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_318 = torch.nn.functional.dropout(x_317, 0.0, False, False)
+        x_317 = None
+        x_319 = x_310 + x_318
+        x_310 = x_318 = None
+        x_320 = torch.conv2d(
+            x_319,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_319 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_321 = x_320.permute(0, 2, 3, 1)
+        x_320 = None
+        x_322 = torch.nn.functional.layer_norm(
+            x_321,
+            (1024,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_321 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_323 = x_322.permute(0, 3, 1, 2)
+        x_322 = None
+        x_324 = x_323.permute(0, 2, 3, 1)
+        x_325 = torch.nn.functional.layer_norm(
+            x_324,
+            (1024,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_324 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_326 = x_325.permute(0, 3, 1, 2)
+        x_325 = None
+        x_327 = torch.conv2d(
+            x_326,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_326 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_22 = torch.functional.split(x_327, [1024, 1024, 4], 1)
+        x_327 = None
+        q_22 = split_22[0]
+        ctx_22 = split_22[1]
+        gates_22 = split_22[2]
+        split_22 = None
+        input_133 = torch.conv2d(
+            ctx_22,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_22 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_134 = torch._C._nn.gelu(input_133, approximate="none")
+        input_133 = None
+        getitem_157 = gates_22[(slice(None, None, None), slice(0, 1, None))]
+        mul_110 = input_134 * getitem_157
+        getitem_157 = None
+        ctx_all_88 = 0 + mul_110
+        mul_110 = None
+        input_135 = torch.conv2d(
+            input_134,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_134 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_136 = torch._C._nn.gelu(input_135, approximate="none")
+        input_135 = None
+        getitem_158 = gates_22[(slice(None, None, None), slice(1, 2, None))]
+        mul_111 = input_136 * getitem_158
+        getitem_158 = None
+        ctx_all_89 = ctx_all_88 + mul_111
+        ctx_all_88 = mul_111 = None
+        input_137 = torch.conv2d(
+            input_136,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_136 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_138 = torch._C._nn.gelu(input_137, approximate="none")
+        input_137 = None
+        getitem_159 = gates_22[(slice(None, None, None), slice(2, 3, None))]
+        mul_112 = input_138 * getitem_159
+        getitem_159 = None
+        ctx_all_90 = ctx_all_89 + mul_112
+        ctx_all_89 = mul_112 = None
+        mean_22 = input_138.mean((2, 3), keepdim=True)
+        input_138 = None
+        ctx_global_22 = torch._C._nn.gelu(mean_22, approximate="none")
+        mean_22 = None
+        getitem_160 = gates_22[(slice(None, None, None), slice(3, None, None))]
+        gates_22 = None
+        mul_113 = ctx_global_22 * getitem_160
+        ctx_global_22 = getitem_160 = None
+        ctx_all_91 = ctx_all_90 + mul_113
+        ctx_all_90 = mul_113 = None
+        conv2d_184 = torch.conv2d(
+            ctx_all_91,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_91 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_66 = q_22 * conv2d_184
+        q_22 = conv2d_184 = None
+        x_out_67 = torch.conv2d(
+            x_out_66,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_66 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_68 = torch.nn.functional.dropout(x_out_67, 0.0, False, False)
+        x_out_67 = None
+        x_328 = x_323 + x_out_68
+        x_323 = x_out_68 = None
+        x_329 = x_328.permute(0, 2, 3, 1)
+        x_330 = torch.nn.functional.layer_norm(
+            x_329,
+            (1024,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_329 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_331 = x_330.permute(0, 3, 1, 2)
+        x_330 = None
+        x_332 = torch.conv2d(
+            x_331,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_331 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_333 = torch._C._nn.gelu(x_332, approximate="none")
+        x_332 = None
+        x_334 = torch.nn.functional.dropout(x_333, 0.0, False, False)
+        x_333 = None
+        x_335 = torch.conv2d(
+            x_334,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_334 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_336 = torch.nn.functional.dropout(x_335, 0.0, False, False)
+        x_335 = None
+        x_337 = x_328 + x_336
+        x_328 = x_336 = None
+        x_338 = x_337.permute(0, 2, 3, 1)
+        x_339 = torch.nn.functional.layer_norm(
+            x_338,
+            (1024,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_338 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_340 = x_339.permute(0, 3, 1, 2)
+        x_339 = None
+        x_341 = torch.conv2d(
+            x_340,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_340 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_23 = torch.functional.split(x_341, [1024, 1024, 4], 1)
+        x_341 = None
+        q_23 = split_23[0]
+        ctx_23 = split_23[1]
+        gates_23 = split_23[2]
+        split_23 = None
+        input_139 = torch.conv2d(
+            ctx_23,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_23 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_140 = torch._C._nn.gelu(input_139, approximate="none")
+        input_139 = None
+        getitem_164 = gates_23[(slice(None, None, None), slice(0, 1, None))]
+        mul_115 = input_140 * getitem_164
+        getitem_164 = None
+        ctx_all_92 = 0 + mul_115
+        mul_115 = None
+        input_141 = torch.conv2d(
+            input_140,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_140 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_142 = torch._C._nn.gelu(input_141, approximate="none")
+        input_141 = None
+        getitem_165 = gates_23[(slice(None, None, None), slice(1, 2, None))]
+        mul_116 = input_142 * getitem_165
+        getitem_165 = None
+        ctx_all_93 = ctx_all_92 + mul_116
+        ctx_all_92 = mul_116 = None
+        input_143 = torch.conv2d(
+            input_142,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_142 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_144 = torch._C._nn.gelu(input_143, approximate="none")
+        input_143 = None
+        getitem_166 = gates_23[(slice(None, None, None), slice(2, 3, None))]
+        mul_117 = input_144 * getitem_166
+        getitem_166 = None
+        ctx_all_94 = ctx_all_93 + mul_117
+        ctx_all_93 = mul_117 = None
+        mean_23 = input_144.mean((2, 3), keepdim=True)
+        input_144 = None
+        ctx_global_23 = torch._C._nn.gelu(mean_23, approximate="none")
+        mean_23 = None
+        getitem_167 = gates_23[(slice(None, None, None), slice(3, None, None))]
+        gates_23 = None
+        mul_118 = ctx_global_23 * getitem_167
+        ctx_global_23 = getitem_167 = None
+        ctx_all_95 = ctx_all_94 + mul_118
+        ctx_all_94 = mul_118 = None
+        conv2d_192 = torch.conv2d(
+            ctx_all_95,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_95 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_69 = q_23 * conv2d_192
+        q_23 = conv2d_192 = None
+        x_out_70 = torch.conv2d(
+            x_out_69,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_69 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_71 = torch.nn.functional.dropout(x_out_70, 0.0, False, False)
+        x_out_70 = None
+        x_342 = x_337 + x_out_71
+        x_337 = x_out_71 = None
+        x_343 = x_342.permute(0, 2, 3, 1)
+        x_344 = torch.nn.functional.layer_norm(
+            x_343,
+            (1024,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_343 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_345 = x_344.permute(0, 3, 1, 2)
+        x_344 = None
+        x_346 = torch.conv2d(
+            x_345,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_345 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_347 = torch._C._nn.gelu(x_346, approximate="none")
+        x_346 = None
+        x_348 = torch.nn.functional.dropout(x_347, 0.0, False, False)
+        x_347 = None
+        x_349 = torch.conv2d(
+            x_348,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_348 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_350 = torch.nn.functional.dropout(x_349, 0.0, False, False)
+        x_349 = None
+        x_351 = x_342 + x_350
+        x_342 = x_350 = None
+        x_352 = x_351.permute(0, 2, 3, 1)
+        x_351 = None
+        x_353 = torch.nn.functional.layer_norm(
+            x_352,
+            (1024,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_352 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_354 = x_353.permute(0, 3, 1, 2)
+        x_353 = None
+        x_355 = torch.nn.functional.adaptive_avg_pool2d(x_354, 1)
+        x_354 = None
+        x_356 = x_355.flatten(1, -1)
+        x_355 = None
+        x_357 = torch.nn.functional.dropout(x_356, 0.0, False, False)
+        x_356 = None
+        x_358 = torch._C._nn.linear(
+            x_357,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_357 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_358,)
diff --git a/samples/timm/focalnet_base_lrf.ms_in1k/weight_meta.py b/samples/timm/focalnet_base_lrf.ms_in1k/weight_meta.py
new file mode 100644
index 000000000..5c36f40a3
--- /dev/null
+++ b/samples/timm/focalnet_base_lrf.ms_in1k/weight_meta.py
@@ -0,0 +1,4298 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [128, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.220
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [260, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [260]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [128, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [260, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [260]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [128, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [256, 128, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [516, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [516]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [516, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [516]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [512, 256, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [1024, 512, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_base_srf.ms_in1k/graph_hash.txt b/samples/timm/focalnet_base_srf.ms_in1k/graph_hash.txt
new file mode 100644
index 000000000..eff603e77
--- /dev/null
+++ b/samples/timm/focalnet_base_srf.ms_in1k/graph_hash.txt
@@ -0,0 +1 @@
+a4e9008b2ed52986b2f0c8d8c63a475dba8c016d0c1f985d9948856df8b78425
\ No newline at end of file
diff --git a/samples/timm/focalnet_base_srf.ms_in1k/graph_net.json b/samples/timm/focalnet_base_srf.ms_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_base_srf.ms_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_base_srf.ms_in1k/input_meta.py b/samples/timm/focalnet_base_srf.ms_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_base_srf.ms_in1k/input_tensor_constraints.py b/samples/timm/focalnet_base_srf.ms_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_base_srf.ms_in1k/model.py b/samples/timm/focalnet_base_srf.ms_in1k/model.py
new file mode 100644
index 000000000..42ae9de53
--- /dev/null
+++ b/samples/timm/focalnet_base_srf.ms_in1k/model.py
@@ -0,0 +1,4215 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (128,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = x_3.permute(0, 2, 3, 1)
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (128,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_6 = x_5.permute(0, 3, 1, 2)
+        x_5 = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_7, [128, 128, 3], 1)
+        x_7 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        mean = input_4.mean((2, 3), keepdim=True)
+        input_4 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, None, None))]
+        gates = None
+        mul_2 = ctx_global * getitem_5
+        ctx_global = getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        conv2d_4 = torch.conv2d(
+            ctx_all_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_4
+        q = conv2d_4 = None
+        x_out_1 = torch.conv2d(
+            x_out,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_8 = x_3 + x_out_2
+        x_3 = x_out_2 = None
+        x_9 = x_8.permute(0, 2, 3, 1)
+        x_10 = torch.nn.functional.layer_norm(
+            x_9,
+            (128,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_9 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_11 = x_10.permute(0, 3, 1, 2)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_13 = torch._C._nn.gelu(x_12, approximate="none")
+        x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_8 + x_16
+        x_8 = x_16 = None
+        x_18 = x_17.permute(0, 2, 3, 1)
+        x_19 = torch.nn.functional.layer_norm(
+            x_18,
+            (128,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_18 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_20 = x_19.permute(0, 3, 1, 2)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_21, [128, 128, 3], 1)
+        x_21 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_5 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_9 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_4 = input_6 * getitem_9
+        getitem_9 = None
+        ctx_all_3 = 0 + mul_4
+        mul_4 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        input_6 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_10 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_5 = input_8 * getitem_10
+        getitem_10 = None
+        ctx_all_4 = ctx_all_3 + mul_5
+        ctx_all_3 = mul_5 = None
+        mean_1 = input_8.mean((2, 3), keepdim=True)
+        input_8 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(2, None, None))]
+        gates_1 = None
+        mul_6 = ctx_global_1 * getitem_11
+        ctx_global_1 = getitem_11 = None
+        ctx_all_5 = ctx_all_4 + mul_6
+        ctx_all_4 = mul_6 = None
+        conv2d_11 = torch.conv2d(
+            ctx_all_5,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_5 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_11
+        q_1 = conv2d_11 = None
+        x_out_4 = torch.conv2d(
+            x_out_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_22 = x_17 + x_out_5
+        x_17 = x_out_5 = None
+        x_23 = x_22.permute(0, 2, 3, 1)
+        x_24 = torch.nn.functional.layer_norm(
+            x_23,
+            (128,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_23 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_25 = x_24.permute(0, 3, 1, 2)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_27 = torch._C._nn.gelu(x_26, approximate="none")
+        x_26 = None
+        x_28 = torch.nn.functional.dropout(x_27, 0.0, False, False)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.dropout(x_29, 0.0, False, False)
+        x_29 = None
+        x_31 = x_22 + x_30
+        x_22 = x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_33 = x_32.permute(0, 2, 3, 1)
+        x_32 = None
+        x_34 = torch.nn.functional.layer_norm(
+            x_33,
+            (256,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_33 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_35 = x_34.permute(0, 3, 1, 2)
+        x_34 = None
+        x_36 = x_35.permute(0, 2, 3, 1)
+        x_37 = torch.nn.functional.layer_norm(
+            x_36,
+            (256,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_36 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_38 = x_37.permute(0, 3, 1, 2)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_39, [256, 256, 3], 1)
+        x_39 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_9 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_15 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_8 = input_10 * getitem_15
+        getitem_15 = None
+        ctx_all_6 = 0 + mul_8
+        mul_8 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        input_10 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_16 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_9 = input_12 * getitem_16
+        getitem_16 = None
+        ctx_all_7 = ctx_all_6 + mul_9
+        ctx_all_6 = mul_9 = None
+        mean_2 = input_12.mean((2, 3), keepdim=True)
+        input_12 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_17 = gates_2[(slice(None, None, None), slice(2, None, None))]
+        gates_2 = None
+        mul_10 = ctx_global_2 * getitem_17
+        ctx_global_2 = getitem_17 = None
+        ctx_all_8 = ctx_all_7 + mul_10
+        ctx_all_7 = mul_10 = None
+        conv2d_19 = torch.conv2d(
+            ctx_all_8,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_8 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_19
+        q_2 = conv2d_19 = None
+        x_out_7 = torch.conv2d(
+            x_out_6,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_6 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_40 = x_35 + x_out_8
+        x_35 = x_out_8 = None
+        x_41 = x_40.permute(0, 2, 3, 1)
+        x_42 = torch.nn.functional.layer_norm(
+            x_41,
+            (256,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_41 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_43 = x_42.permute(0, 3, 1, 2)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_45 = torch._C._nn.gelu(x_44, approximate="none")
+        x_44 = None
+        x_46 = torch.nn.functional.dropout(x_45, 0.0, False, False)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_40 + x_48
+        x_40 = x_48 = None
+        x_50 = x_49.permute(0, 2, 3, 1)
+        x_51 = torch.nn.functional.layer_norm(
+            x_50,
+            (256,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_50 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_52 = x_51.permute(0, 3, 1, 2)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_53, [256, 256, 3], 1)
+        x_53 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_13 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_21 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_12 = input_14 * getitem_21
+        getitem_21 = None
+        ctx_all_9 = 0 + mul_12
+        mul_12 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        input_14 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_22 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_13 = input_16 * getitem_22
+        getitem_22 = None
+        ctx_all_10 = ctx_all_9 + mul_13
+        ctx_all_9 = mul_13 = None
+        mean_3 = input_16.mean((2, 3), keepdim=True)
+        input_16 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_23 = gates_3[(slice(None, None, None), slice(2, None, None))]
+        gates_3 = None
+        mul_14 = ctx_global_3 * getitem_23
+        ctx_global_3 = getitem_23 = None
+        ctx_all_11 = ctx_all_10 + mul_14
+        ctx_all_10 = mul_14 = None
+        conv2d_26 = torch.conv2d(
+            ctx_all_11,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_11 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_26
+        q_3 = conv2d_26 = None
+        x_out_10 = torch.conv2d(
+            x_out_9,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_9 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_54 = x_49 + x_out_11
+        x_49 = x_out_11 = None
+        x_55 = x_54.permute(0, 2, 3, 1)
+        x_56 = torch.nn.functional.layer_norm(
+            x_55,
+            (256,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_55 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_57 = x_56.permute(0, 3, 1, 2)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_59 = torch._C._nn.gelu(x_58, approximate="none")
+        x_58 = None
+        x_60 = torch.nn.functional.dropout(x_59, 0.0, False, False)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.dropout(x_61, 0.0, False, False)
+        x_61 = None
+        x_63 = x_54 + x_62
+        x_54 = x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 2, 3, 1)
+        x_64 = None
+        x_66 = torch.nn.functional.layer_norm(
+            x_65,
+            (512,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_65 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_67 = x_66.permute(0, 3, 1, 2)
+        x_66 = None
+        x_68 = x_67.permute(0, 2, 3, 1)
+        x_69 = torch.nn.functional.layer_norm(
+            x_68,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_68 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_70 = x_69.permute(0, 3, 1, 2)
+        x_69 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_71, [512, 512, 3], 1)
+        x_71 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_17 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_27 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_16 = input_18 * getitem_27
+        getitem_27 = None
+        ctx_all_12 = 0 + mul_16
+        mul_16 = None
+        input_19 = torch.conv2d(
+            input_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_18 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_28 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_17 = input_20 * getitem_28
+        getitem_28 = None
+        ctx_all_13 = ctx_all_12 + mul_17
+        ctx_all_12 = mul_17 = None
+        mean_4 = input_20.mean((2, 3), keepdim=True)
+        input_20 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_29 = gates_4[(slice(None, None, None), slice(2, None, None))]
+        gates_4 = None
+        mul_18 = ctx_global_4 * getitem_29
+        ctx_global_4 = getitem_29 = None
+        ctx_all_14 = ctx_all_13 + mul_18
+        ctx_all_13 = mul_18 = None
+        conv2d_34 = torch.conv2d(
+            ctx_all_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_14 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_34
+        q_4 = conv2d_34 = None
+        x_out_13 = torch.conv2d(
+            x_out_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_12 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_72 = x_67 + x_out_14
+        x_67 = x_out_14 = None
+        x_73 = x_72.permute(0, 2, 3, 1)
+        x_74 = torch.nn.functional.layer_norm(
+            x_73,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_73 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_75 = x_74.permute(0, 3, 1, 2)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_77 = torch._C._nn.gelu(x_76, approximate="none")
+        x_76 = None
+        x_78 = torch.nn.functional.dropout(x_77, 0.0, False, False)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.dropout(x_79, 0.0, False, False)
+        x_79 = None
+        x_81 = x_72 + x_80
+        x_72 = x_80 = None
+        x_82 = x_81.permute(0, 2, 3, 1)
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_82 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_84 = x_83.permute(0, 3, 1, 2)
+        x_83 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_84 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_85, [512, 512, 3], 1)
+        x_85 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_21 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_33 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_20 = input_22 * getitem_33
+        getitem_33 = None
+        ctx_all_15 = 0 + mul_20
+        mul_20 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_22 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_34 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_21 = input_24 * getitem_34
+        getitem_34 = None
+        ctx_all_16 = ctx_all_15 + mul_21
+        ctx_all_15 = mul_21 = None
+        mean_5 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_35 = gates_5[(slice(None, None, None), slice(2, None, None))]
+        gates_5 = None
+        mul_22 = ctx_global_5 * getitem_35
+        ctx_global_5 = getitem_35 = None
+        ctx_all_17 = ctx_all_16 + mul_22
+        ctx_all_16 = mul_22 = None
+        conv2d_41 = torch.conv2d(
+            ctx_all_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_17 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_41
+        q_5 = conv2d_41 = None
+        x_out_16 = torch.conv2d(
+            x_out_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_15 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_86 = x_81 + x_out_17
+        x_81 = x_out_17 = None
+        x_87 = x_86.permute(0, 2, 3, 1)
+        x_88 = torch.nn.functional.layer_norm(
+            x_87,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_87 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_89 = x_88.permute(0, 3, 1, 2)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_91 = torch._C._nn.gelu(x_90, approximate="none")
+        x_90 = None
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.dropout(x_93, 0.0, False, False)
+        x_93 = None
+        x_95 = x_86 + x_94
+        x_86 = x_94 = None
+        x_96 = x_95.permute(0, 2, 3, 1)
+        x_97 = torch.nn.functional.layer_norm(
+            x_96,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_96 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (None)
+        x_98 = x_97.permute(0, 3, 1, 2)
+        x_97 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_99, [512, 512, 3], 1)
+        x_99 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_25 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_39 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_24 = input_26 * getitem_39
+        getitem_39 = None
+        ctx_all_18 = 0 + mul_24
+        mul_24 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_26 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_40 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_25 = input_28 * getitem_40
+        getitem_40 = None
+        ctx_all_19 = ctx_all_18 + mul_25
+        ctx_all_18 = mul_25 = None
+        mean_6 = input_28.mean((2, 3), keepdim=True)
+        input_28 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_41 = gates_6[(slice(None, None, None), slice(2, None, None))]
+        gates_6 = None
+        mul_26 = ctx_global_6 * getitem_41
+        ctx_global_6 = getitem_41 = None
+        ctx_all_20 = ctx_all_19 + mul_26
+        ctx_all_19 = mul_26 = None
+        conv2d_48 = torch.conv2d(
+            ctx_all_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_20 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_48
+        q_6 = conv2d_48 = None
+        x_out_19 = torch.conv2d(
+            x_out_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_18 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_100 = x_95 + x_out_20
+        x_95 = x_out_20 = None
+        x_101 = x_100.permute(0, 2, 3, 1)
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_101 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (None)
+        x_103 = x_102.permute(0, 3, 1, 2)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_105 = torch._C._nn.gelu(x_104, approximate="none")
+        x_104 = None
+        x_106 = torch.nn.functional.dropout(x_105, 0.0, False, False)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.dropout(x_107, 0.0, False, False)
+        x_107 = None
+        x_109 = x_100 + x_108
+        x_100 = x_108 = None
+        x_110 = x_109.permute(0, 2, 3, 1)
+        x_111 = torch.nn.functional.layer_norm(
+            x_110,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_110 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (None)
+        x_112 = x_111.permute(0, 3, 1, 2)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_113, [512, 512, 3], 1)
+        x_113 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_29 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_45 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_28 = input_30 * getitem_45
+        getitem_45 = None
+        ctx_all_21 = 0 + mul_28
+        mul_28 = None
+        input_31 = torch.conv2d(
+            input_30,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_30 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_46 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_29 = input_32 * getitem_46
+        getitem_46 = None
+        ctx_all_22 = ctx_all_21 + mul_29
+        ctx_all_21 = mul_29 = None
+        mean_7 = input_32.mean((2, 3), keepdim=True)
+        input_32 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_47 = gates_7[(slice(None, None, None), slice(2, None, None))]
+        gates_7 = None
+        mul_30 = ctx_global_7 * getitem_47
+        ctx_global_7 = getitem_47 = None
+        ctx_all_23 = ctx_all_22 + mul_30
+        ctx_all_22 = mul_30 = None
+        conv2d_55 = torch.conv2d(
+            ctx_all_23,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_23 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_55
+        q_7 = conv2d_55 = None
+        x_out_22 = torch.conv2d(
+            x_out_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_21 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_114 = x_109 + x_out_23
+        x_109 = x_out_23 = None
+        x_115 = x_114.permute(0, 2, 3, 1)
+        x_116 = torch.nn.functional.layer_norm(
+            x_115,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_115 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (None)
+        x_117 = x_116.permute(0, 3, 1, 2)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_119 = torch._C._nn.gelu(x_118, approximate="none")
+        x_118 = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.dropout(x_121, 0.0, False, False)
+        x_121 = None
+        x_123 = x_114 + x_122
+        x_114 = x_122 = None
+        x_124 = x_123.permute(0, 2, 3, 1)
+        x_125 = torch.nn.functional.layer_norm(
+            x_124,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_124 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (None)
+        x_126 = x_125.permute(0, 3, 1, 2)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_127, [512, 512, 3], 1)
+        x_127 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_33 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_51 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_32 = input_34 * getitem_51
+        getitem_51 = None
+        ctx_all_24 = 0 + mul_32
+        mul_32 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_52 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_33 = input_36 * getitem_52
+        getitem_52 = None
+        ctx_all_25 = ctx_all_24 + mul_33
+        ctx_all_24 = mul_33 = None
+        mean_8 = input_36.mean((2, 3), keepdim=True)
+        input_36 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_53 = gates_8[(slice(None, None, None), slice(2, None, None))]
+        gates_8 = None
+        mul_34 = ctx_global_8 * getitem_53
+        ctx_global_8 = getitem_53 = None
+        ctx_all_26 = ctx_all_25 + mul_34
+        ctx_all_25 = mul_34 = None
+        conv2d_62 = torch.conv2d(
+            ctx_all_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_26 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_62
+        q_8 = conv2d_62 = None
+        x_out_25 = torch.conv2d(
+            x_out_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_24 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_128 = x_123 + x_out_26
+        x_123 = x_out_26 = None
+        x_129 = x_128.permute(0, 2, 3, 1)
+        x_130 = torch.nn.functional.layer_norm(
+            x_129,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_129 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (None)
+        x_131 = x_130.permute(0, 3, 1, 2)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_131 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_133 = torch._C._nn.gelu(x_132, approximate="none")
+        x_132 = None
+        x_134 = torch.nn.functional.dropout(x_133, 0.0, False, False)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.dropout(x_135, 0.0, False, False)
+        x_135 = None
+        x_137 = x_128 + x_136
+        x_128 = x_136 = None
+        x_138 = x_137.permute(0, 2, 3, 1)
+        x_139 = torch.nn.functional.layer_norm(
+            x_138,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_138 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (None)
+        x_140 = x_139.permute(0, 3, 1, 2)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_141, [512, 512, 3], 1)
+        x_141 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_37 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_57 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_36 = input_38 * getitem_57
+        getitem_57 = None
+        ctx_all_27 = 0 + mul_36
+        mul_36 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_58 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_37 = input_40 * getitem_58
+        getitem_58 = None
+        ctx_all_28 = ctx_all_27 + mul_37
+        ctx_all_27 = mul_37 = None
+        mean_9 = input_40.mean((2, 3), keepdim=True)
+        input_40 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_59 = gates_9[(slice(None, None, None), slice(2, None, None))]
+        gates_9 = None
+        mul_38 = ctx_global_9 * getitem_59
+        ctx_global_9 = getitem_59 = None
+        ctx_all_29 = ctx_all_28 + mul_38
+        ctx_all_28 = mul_38 = None
+        conv2d_69 = torch.conv2d(
+            ctx_all_29,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_29 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_69
+        q_9 = conv2d_69 = None
+        x_out_28 = torch.conv2d(
+            x_out_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_27 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_142 = x_137 + x_out_29
+        x_137 = x_out_29 = None
+        x_143 = x_142.permute(0, 2, 3, 1)
+        x_144 = torch.nn.functional.layer_norm(
+            x_143,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_143 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (None)
+        x_145 = x_144.permute(0, 3, 1, 2)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_147 = torch._C._nn.gelu(x_146, approximate="none")
+        x_146 = None
+        x_148 = torch.nn.functional.dropout(x_147, 0.0, False, False)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False)
+        x_149 = None
+        x_151 = x_142 + x_150
+        x_142 = x_150 = None
+        x_152 = x_151.permute(0, 2, 3, 1)
+        x_153 = torch.nn.functional.layer_norm(
+            x_152,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_152 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (None)
+        x_154 = x_153.permute(0, 3, 1, 2)
+        x_153 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_154 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_155, [512, 512, 3], 1)
+        x_155 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_41 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_10 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_63 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_40 = input_42 * getitem_63
+        getitem_63 = None
+        ctx_all_30 = 0 + mul_40
+        mul_40 = None
+        input_43 = torch.conv2d(
+            input_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_42 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_64 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_41 = input_44 * getitem_64
+        getitem_64 = None
+        ctx_all_31 = ctx_all_30 + mul_41
+        ctx_all_30 = mul_41 = None
+        mean_10 = input_44.mean((2, 3), keepdim=True)
+        input_44 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_65 = gates_10[(slice(None, None, None), slice(2, None, None))]
+        gates_10 = None
+        mul_42 = ctx_global_10 * getitem_65
+        ctx_global_10 = getitem_65 = None
+        ctx_all_32 = ctx_all_31 + mul_42
+        ctx_all_31 = mul_42 = None
+        conv2d_76 = torch.conv2d(
+            ctx_all_32,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_32 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_76
+        q_10 = conv2d_76 = None
+        x_out_31 = torch.conv2d(
+            x_out_30,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_30 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_156 = x_151 + x_out_32
+        x_151 = x_out_32 = None
+        x_157 = x_156.permute(0, 2, 3, 1)
+        x_158 = torch.nn.functional.layer_norm(
+            x_157,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_157 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (None)
+        x_159 = x_158.permute(0, 3, 1, 2)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_161 = torch._C._nn.gelu(x_160, approximate="none")
+        x_160 = None
+        x_162 = torch.nn.functional.dropout(x_161, 0.0, False, False)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_164 = torch.nn.functional.dropout(x_163, 0.0, False, False)
+        x_163 = None
+        x_165 = x_156 + x_164
+        x_156 = x_164 = None
+        x_166 = x_165.permute(0, 2, 3, 1)
+        x_167 = torch.nn.functional.layer_norm(
+            x_166,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_166 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (None)
+        x_168 = x_167.permute(0, 3, 1, 2)
+        x_167 = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_168 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_169, [512, 512, 3], 1)
+        x_169 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_45 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_11 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_69 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_44 = input_46 * getitem_69
+        getitem_69 = None
+        ctx_all_33 = 0 + mul_44
+        mul_44 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_46 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_70 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_45 = input_48 * getitem_70
+        getitem_70 = None
+        ctx_all_34 = ctx_all_33 + mul_45
+        ctx_all_33 = mul_45 = None
+        mean_11 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_71 = gates_11[(slice(None, None, None), slice(2, None, None))]
+        gates_11 = None
+        mul_46 = ctx_global_11 * getitem_71
+        ctx_global_11 = getitem_71 = None
+        ctx_all_35 = ctx_all_34 + mul_46
+        ctx_all_34 = mul_46 = None
+        conv2d_83 = torch.conv2d(
+            ctx_all_35,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_35 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_83
+        q_11 = conv2d_83 = None
+        x_out_34 = torch.conv2d(
+            x_out_33,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_33 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_170 = x_165 + x_out_35
+        x_165 = x_out_35 = None
+        x_171 = x_170.permute(0, 2, 3, 1)
+        x_172 = torch.nn.functional.layer_norm(
+            x_171,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_171 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (None)
+        x_173 = x_172.permute(0, 3, 1, 2)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_175 = torch._C._nn.gelu(x_174, approximate="none")
+        x_174 = None
+        x_176 = torch.nn.functional.dropout(x_175, 0.0, False, False)
+        x_175 = None
+        x_177 = torch.conv2d(
+            x_176,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_176 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_178 = torch.nn.functional.dropout(x_177, 0.0, False, False)
+        x_177 = None
+        x_179 = x_170 + x_178
+        x_170 = x_178 = None
+        x_180 = x_179.permute(0, 2, 3, 1)
+        x_181 = torch.nn.functional.layer_norm(
+            x_180,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_180 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (None)
+        x_182 = x_181.permute(0, 3, 1, 2)
+        x_181 = None
+        x_183 = torch.conv2d(
+            x_182,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_182 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_12 = torch.functional.split(x_183, [512, 512, 3], 1)
+        x_183 = None
+        q_12 = split_12[0]
+        ctx_12 = split_12[1]
+        gates_12 = split_12[2]
+        split_12 = None
+        input_49 = torch.conv2d(
+            ctx_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_12 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_50 = torch._C._nn.gelu(input_49, approximate="none")
+        input_49 = None
+        getitem_75 = gates_12[(slice(None, None, None), slice(0, 1, None))]
+        mul_48 = input_50 * getitem_75
+        getitem_75 = None
+        ctx_all_36 = 0 + mul_48
+        mul_48 = None
+        input_51 = torch.conv2d(
+            input_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_50 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_52 = torch._C._nn.gelu(input_51, approximate="none")
+        input_51 = None
+        getitem_76 = gates_12[(slice(None, None, None), slice(1, 2, None))]
+        mul_49 = input_52 * getitem_76
+        getitem_76 = None
+        ctx_all_37 = ctx_all_36 + mul_49
+        ctx_all_36 = mul_49 = None
+        mean_12 = input_52.mean((2, 3), keepdim=True)
+        input_52 = None
+        ctx_global_12 = torch._C._nn.gelu(mean_12, approximate="none")
+        mean_12 = None
+        getitem_77 = gates_12[(slice(None, None, None), slice(2, None, None))]
+        gates_12 = None
+        mul_50 = ctx_global_12 * getitem_77
+        ctx_global_12 = getitem_77 = None
+        ctx_all_38 = ctx_all_37 + mul_50
+        ctx_all_37 = mul_50 = None
+        conv2d_90 = torch.conv2d(
+            ctx_all_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_38 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_36 = q_12 * conv2d_90
+        q_12 = conv2d_90 = None
+        x_out_37 = torch.conv2d(
+            x_out_36,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_36 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_38 = torch.nn.functional.dropout(x_out_37, 0.0, False, False)
+        x_out_37 = None
+        x_184 = x_179 + x_out_38
+        x_179 = x_out_38 = None
+        x_185 = x_184.permute(0, 2, 3, 1)
+        x_186 = torch.nn.functional.layer_norm(
+            x_185,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_185 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (None)
+        x_187 = x_186.permute(0, 3, 1, 2)
+        x_186 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_187 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_189 = torch._C._nn.gelu(x_188, approximate="none")
+        x_188 = None
+        x_190 = torch.nn.functional.dropout(x_189, 0.0, False, False)
+        x_189 = None
+        x_191 = torch.conv2d(
+            x_190,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_190 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_192 = torch.nn.functional.dropout(x_191, 0.0, False, False)
+        x_191 = None
+        x_193 = x_184 + x_192
+        x_184 = x_192 = None
+        x_194 = x_193.permute(0, 2, 3, 1)
+        x_195 = torch.nn.functional.layer_norm(
+            x_194,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_194 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (None)
+        x_196 = x_195.permute(0, 3, 1, 2)
+        x_195 = None
+        x_197 = torch.conv2d(
+            x_196,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_196 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_13 = torch.functional.split(x_197, [512, 512, 3], 1)
+        x_197 = None
+        q_13 = split_13[0]
+        ctx_13 = split_13[1]
+        gates_13 = split_13[2]
+        split_13 = None
+        input_53 = torch.conv2d(
+            ctx_13,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_13 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_54 = torch._C._nn.gelu(input_53, approximate="none")
+        input_53 = None
+        getitem_81 = gates_13[(slice(None, None, None), slice(0, 1, None))]
+        mul_52 = input_54 * getitem_81
+        getitem_81 = None
+        ctx_all_39 = 0 + mul_52
+        mul_52 = None
+        input_55 = torch.conv2d(
+            input_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_54 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_56 = torch._C._nn.gelu(input_55, approximate="none")
+        input_55 = None
+        getitem_82 = gates_13[(slice(None, None, None), slice(1, 2, None))]
+        mul_53 = input_56 * getitem_82
+        getitem_82 = None
+        ctx_all_40 = ctx_all_39 + mul_53
+        ctx_all_39 = mul_53 = None
+        mean_13 = input_56.mean((2, 3), keepdim=True)
+        input_56 = None
+        ctx_global_13 = torch._C._nn.gelu(mean_13, approximate="none")
+        mean_13 = None
+        getitem_83 = gates_13[(slice(None, None, None), slice(2, None, None))]
+        gates_13 = None
+        mul_54 = ctx_global_13 * getitem_83
+        ctx_global_13 = getitem_83 = None
+        ctx_all_41 = ctx_all_40 + mul_54
+        ctx_all_40 = mul_54 = None
+        conv2d_97 = torch.conv2d(
+            ctx_all_41,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_41 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_39 = q_13 * conv2d_97
+        q_13 = conv2d_97 = None
+        x_out_40 = torch.conv2d(
+            x_out_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_39 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_41 = torch.nn.functional.dropout(x_out_40, 0.0, False, False)
+        x_out_40 = None
+        x_198 = x_193 + x_out_41
+        x_193 = x_out_41 = None
+        x_199 = x_198.permute(0, 2, 3, 1)
+        x_200 = torch.nn.functional.layer_norm(
+            x_199,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_199 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (None)
+        x_201 = x_200.permute(0, 3, 1, 2)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_201 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_203 = torch._C._nn.gelu(x_202, approximate="none")
+        x_202 = None
+        x_204 = torch.nn.functional.dropout(x_203, 0.0, False, False)
+        x_203 = None
+        x_205 = torch.conv2d(
+            x_204,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_204 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_206 = torch.nn.functional.dropout(x_205, 0.0, False, False)
+        x_205 = None
+        x_207 = x_198 + x_206
+        x_198 = x_206 = None
+        x_208 = x_207.permute(0, 2, 3, 1)
+        x_209 = torch.nn.functional.layer_norm(
+            x_208,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_208 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (None)
+        x_210 = x_209.permute(0, 3, 1, 2)
+        x_209 = None
+        x_211 = torch.conv2d(
+            x_210,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_210 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_14 = torch.functional.split(x_211, [512, 512, 3], 1)
+        x_211 = None
+        q_14 = split_14[0]
+        ctx_14 = split_14[1]
+        gates_14 = split_14[2]
+        split_14 = None
+        input_57 = torch.conv2d(
+            ctx_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_14 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_58 = torch._C._nn.gelu(input_57, approximate="none")
+        input_57 = None
+        getitem_87 = gates_14[(slice(None, None, None), slice(0, 1, None))]
+        mul_56 = input_58 * getitem_87
+        getitem_87 = None
+        ctx_all_42 = 0 + mul_56
+        mul_56 = None
+        input_59 = torch.conv2d(
+            input_58,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_58 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_60 = torch._C._nn.gelu(input_59, approximate="none")
+        input_59 = None
+        getitem_88 = gates_14[(slice(None, None, None), slice(1, 2, None))]
+        mul_57 = input_60 * getitem_88
+        getitem_88 = None
+        ctx_all_43 = ctx_all_42 + mul_57
+        ctx_all_42 = mul_57 = None
+        mean_14 = input_60.mean((2, 3), keepdim=True)
+        input_60 = None
+        ctx_global_14 = torch._C._nn.gelu(mean_14, approximate="none")
+        mean_14 = None
+        getitem_89 = gates_14[(slice(None, None, None), slice(2, None, None))]
+        gates_14 = None
+        mul_58 = ctx_global_14 * getitem_89
+        ctx_global_14 = getitem_89 = None
+        ctx_all_44 = ctx_all_43 + mul_58
+        ctx_all_43 = mul_58 = None
+        conv2d_104 = torch.conv2d(
+            ctx_all_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_44 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_42 = q_14 * conv2d_104
+        q_14 = conv2d_104 = None
+        x_out_43 = torch.conv2d(
+            x_out_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_42 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_44 = torch.nn.functional.dropout(x_out_43, 0.0, False, False)
+        x_out_43 = None
+        x_212 = x_207 + x_out_44
+        x_207 = x_out_44 = None
+        x_213 = x_212.permute(0, 2, 3, 1)
+        x_214 = torch.nn.functional.layer_norm(
+            x_213,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_213 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (None)
+        x_215 = x_214.permute(0, 3, 1, 2)
+        x_214 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_215 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_217 = torch._C._nn.gelu(x_216, approximate="none")
+        x_216 = None
+        x_218 = torch.nn.functional.dropout(x_217, 0.0, False, False)
+        x_217 = None
+        x_219 = torch.conv2d(
+            x_218,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_218 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_220 = torch.nn.functional.dropout(x_219, 0.0, False, False)
+        x_219 = None
+        x_221 = x_212 + x_220
+        x_212 = x_220 = None
+        x_222 = x_221.permute(0, 2, 3, 1)
+        x_223 = torch.nn.functional.layer_norm(
+            x_222,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_222 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (None)
+        x_224 = x_223.permute(0, 3, 1, 2)
+        x_223 = None
+        x_225 = torch.conv2d(
+            x_224,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_224 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_15 = torch.functional.split(x_225, [512, 512, 3], 1)
+        x_225 = None
+        q_15 = split_15[0]
+        ctx_15 = split_15[1]
+        gates_15 = split_15[2]
+        split_15 = None
+        input_61 = torch.conv2d(
+            ctx_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_15 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_62 = torch._C._nn.gelu(input_61, approximate="none")
+        input_61 = None
+        getitem_93 = gates_15[(slice(None, None, None), slice(0, 1, None))]
+        mul_60 = input_62 * getitem_93
+        getitem_93 = None
+        ctx_all_45 = 0 + mul_60
+        mul_60 = None
+        input_63 = torch.conv2d(
+            input_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_62 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_64 = torch._C._nn.gelu(input_63, approximate="none")
+        input_63 = None
+        getitem_94 = gates_15[(slice(None, None, None), slice(1, 2, None))]
+        mul_61 = input_64 * getitem_94
+        getitem_94 = None
+        ctx_all_46 = ctx_all_45 + mul_61
+        ctx_all_45 = mul_61 = None
+        mean_15 = input_64.mean((2, 3), keepdim=True)
+        input_64 = None
+        ctx_global_15 = torch._C._nn.gelu(mean_15, approximate="none")
+        mean_15 = None
+        getitem_95 = gates_15[(slice(None, None, None), slice(2, None, None))]
+        gates_15 = None
+        mul_62 = ctx_global_15 * getitem_95
+        ctx_global_15 = getitem_95 = None
+        ctx_all_47 = ctx_all_46 + mul_62
+        ctx_all_46 = mul_62 = None
+        conv2d_111 = torch.conv2d(
+            ctx_all_47,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_47 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_45 = q_15 * conv2d_111
+        q_15 = conv2d_111 = None
+        x_out_46 = torch.conv2d(
+            x_out_45,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_45 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_47 = torch.nn.functional.dropout(x_out_46, 0.0, False, False)
+        x_out_46 = None
+        x_226 = x_221 + x_out_47
+        x_221 = x_out_47 = None
+        x_227 = x_226.permute(0, 2, 3, 1)
+        x_228 = torch.nn.functional.layer_norm(
+            x_227,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_227 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (None)
+        x_229 = x_228.permute(0, 3, 1, 2)
+        x_228 = None
+        x_230 = torch.conv2d(
+            x_229,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_229 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_231 = torch._C._nn.gelu(x_230, approximate="none")
+        x_230 = None
+        x_232 = torch.nn.functional.dropout(x_231, 0.0, False, False)
+        x_231 = None
+        x_233 = torch.conv2d(
+            x_232,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_232 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_234 = torch.nn.functional.dropout(x_233, 0.0, False, False)
+        x_233 = None
+        x_235 = x_226 + x_234
+        x_226 = x_234 = None
+        x_236 = x_235.permute(0, 2, 3, 1)
+        x_237 = torch.nn.functional.layer_norm(
+            x_236,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_236 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_ = (None)
+        x_238 = x_237.permute(0, 3, 1, 2)
+        x_237 = None
+        x_239 = torch.conv2d(
+            x_238,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_238 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_16 = torch.functional.split(x_239, [512, 512, 3], 1)
+        x_239 = None
+        q_16 = split_16[0]
+        ctx_16 = split_16[1]
+        gates_16 = split_16[2]
+        split_16 = None
+        input_65 = torch.conv2d(
+            ctx_16,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_16 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_66 = torch._C._nn.gelu(input_65, approximate="none")
+        input_65 = None
+        getitem_99 = gates_16[(slice(None, None, None), slice(0, 1, None))]
+        mul_64 = input_66 * getitem_99
+        getitem_99 = None
+        ctx_all_48 = 0 + mul_64
+        mul_64 = None
+        input_67 = torch.conv2d(
+            input_66,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_66 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_68 = torch._C._nn.gelu(input_67, approximate="none")
+        input_67 = None
+        getitem_100 = gates_16[(slice(None, None, None), slice(1, 2, None))]
+        mul_65 = input_68 * getitem_100
+        getitem_100 = None
+        ctx_all_49 = ctx_all_48 + mul_65
+        ctx_all_48 = mul_65 = None
+        mean_16 = input_68.mean((2, 3), keepdim=True)
+        input_68 = None
+        ctx_global_16 = torch._C._nn.gelu(mean_16, approximate="none")
+        mean_16 = None
+        getitem_101 = gates_16[(slice(None, None, None), slice(2, None, None))]
+        gates_16 = None
+        mul_66 = ctx_global_16 * getitem_101
+        ctx_global_16 = getitem_101 = None
+        ctx_all_50 = ctx_all_49 + mul_66
+        ctx_all_49 = mul_66 = None
+        conv2d_118 = torch.conv2d(
+            ctx_all_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_50 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_48 = q_16 * conv2d_118
+        q_16 = conv2d_118 = None
+        x_out_49 = torch.conv2d(
+            x_out_48,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_48 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_50 = torch.nn.functional.dropout(x_out_49, 0.0, False, False)
+        x_out_49 = None
+        x_240 = x_235 + x_out_50
+        x_235 = x_out_50 = None
+        x_241 = x_240.permute(0, 2, 3, 1)
+        x_242 = torch.nn.functional.layer_norm(
+            x_241,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_241 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_ = (None)
+        x_243 = x_242.permute(0, 3, 1, 2)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_243 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_245 = torch._C._nn.gelu(x_244, approximate="none")
+        x_244 = None
+        x_246 = torch.nn.functional.dropout(x_245, 0.0, False, False)
+        x_245 = None
+        x_247 = torch.conv2d(
+            x_246,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_246 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_248 = torch.nn.functional.dropout(x_247, 0.0, False, False)
+        x_247 = None
+        x_249 = x_240 + x_248
+        x_240 = x_248 = None
+        x_250 = x_249.permute(0, 2, 3, 1)
+        x_251 = torch.nn.functional.layer_norm(
+            x_250,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_250 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_ = (None)
+        x_252 = x_251.permute(0, 3, 1, 2)
+        x_251 = None
+        x_253 = torch.conv2d(
+            x_252,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_252 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_17 = torch.functional.split(x_253, [512, 512, 3], 1)
+        x_253 = None
+        q_17 = split_17[0]
+        ctx_17 = split_17[1]
+        gates_17 = split_17[2]
+        split_17 = None
+        input_69 = torch.conv2d(
+            ctx_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_17 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_70 = torch._C._nn.gelu(input_69, approximate="none")
+        input_69 = None
+        getitem_105 = gates_17[(slice(None, None, None), slice(0, 1, None))]
+        mul_68 = input_70 * getitem_105
+        getitem_105 = None
+        ctx_all_51 = 0 + mul_68
+        mul_68 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_70 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_72 = torch._C._nn.gelu(input_71, approximate="none")
+        input_71 = None
+        getitem_106 = gates_17[(slice(None, None, None), slice(1, 2, None))]
+        mul_69 = input_72 * getitem_106
+        getitem_106 = None
+        ctx_all_52 = ctx_all_51 + mul_69
+        ctx_all_51 = mul_69 = None
+        mean_17 = input_72.mean((2, 3), keepdim=True)
+        input_72 = None
+        ctx_global_17 = torch._C._nn.gelu(mean_17, approximate="none")
+        mean_17 = None
+        getitem_107 = gates_17[(slice(None, None, None), slice(2, None, None))]
+        gates_17 = None
+        mul_70 = ctx_global_17 * getitem_107
+        ctx_global_17 = getitem_107 = None
+        ctx_all_53 = ctx_all_52 + mul_70
+        ctx_all_52 = mul_70 = None
+        conv2d_125 = torch.conv2d(
+            ctx_all_53,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_53 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_51 = q_17 * conv2d_125
+        q_17 = conv2d_125 = None
+        x_out_52 = torch.conv2d(
+            x_out_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_51 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_53 = torch.nn.functional.dropout(x_out_52, 0.0, False, False)
+        x_out_52 = None
+        x_254 = x_249 + x_out_53
+        x_249 = x_out_53 = None
+        x_255 = x_254.permute(0, 2, 3, 1)
+        x_256 = torch.nn.functional.layer_norm(
+            x_255,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_255 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_ = (None)
+        x_257 = x_256.permute(0, 3, 1, 2)
+        x_256 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_257 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_259 = torch._C._nn.gelu(x_258, approximate="none")
+        x_258 = None
+        x_260 = torch.nn.functional.dropout(x_259, 0.0, False, False)
+        x_259 = None
+        x_261 = torch.conv2d(
+            x_260,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_260 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_262 = torch.nn.functional.dropout(x_261, 0.0, False, False)
+        x_261 = None
+        x_263 = x_254 + x_262
+        x_254 = x_262 = None
+        x_264 = x_263.permute(0, 2, 3, 1)
+        x_265 = torch.nn.functional.layer_norm(
+            x_264,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_264 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_ = (None)
+        x_266 = x_265.permute(0, 3, 1, 2)
+        x_265 = None
+        x_267 = torch.conv2d(
+            x_266,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_266 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_18 = torch.functional.split(x_267, [512, 512, 3], 1)
+        x_267 = None
+        q_18 = split_18[0]
+        ctx_18 = split_18[1]
+        gates_18 = split_18[2]
+        split_18 = None
+        input_73 = torch.conv2d(
+            ctx_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_18 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_74 = torch._C._nn.gelu(input_73, approximate="none")
+        input_73 = None
+        getitem_111 = gates_18[(slice(None, None, None), slice(0, 1, None))]
+        mul_72 = input_74 * getitem_111
+        getitem_111 = None
+        ctx_all_54 = 0 + mul_72
+        mul_72 = None
+        input_75 = torch.conv2d(
+            input_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_74 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_76 = torch._C._nn.gelu(input_75, approximate="none")
+        input_75 = None
+        getitem_112 = gates_18[(slice(None, None, None), slice(1, 2, None))]
+        mul_73 = input_76 * getitem_112
+        getitem_112 = None
+        ctx_all_55 = ctx_all_54 + mul_73
+        ctx_all_54 = mul_73 = None
+        mean_18 = input_76.mean((2, 3), keepdim=True)
+        input_76 = None
+        ctx_global_18 = torch._C._nn.gelu(mean_18, approximate="none")
+        mean_18 = None
+        getitem_113 = gates_18[(slice(None, None, None), slice(2, None, None))]
+        gates_18 = None
+        mul_74 = ctx_global_18 * getitem_113
+        ctx_global_18 = getitem_113 = None
+        ctx_all_56 = ctx_all_55 + mul_74
+        ctx_all_55 = mul_74 = None
+        conv2d_132 = torch.conv2d(
+            ctx_all_56,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_56 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_54 = q_18 * conv2d_132
+        q_18 = conv2d_132 = None
+        x_out_55 = torch.conv2d(
+            x_out_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_54 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_56 = torch.nn.functional.dropout(x_out_55, 0.0, False, False)
+        x_out_55 = None
+        x_268 = x_263 + x_out_56
+        x_263 = x_out_56 = None
+        x_269 = x_268.permute(0, 2, 3, 1)
+        x_270 = torch.nn.functional.layer_norm(
+            x_269,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_269 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_ = (None)
+        x_271 = x_270.permute(0, 3, 1, 2)
+        x_270 = None
+        x_272 = torch.conv2d(
+            x_271,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_271 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_273 = torch._C._nn.gelu(x_272, approximate="none")
+        x_272 = None
+        x_274 = torch.nn.functional.dropout(x_273, 0.0, False, False)
+        x_273 = None
+        x_275 = torch.conv2d(
+            x_274,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_274 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_276 = torch.nn.functional.dropout(x_275, 0.0, False, False)
+        x_275 = None
+        x_277 = x_268 + x_276
+        x_268 = x_276 = None
+        x_278 = x_277.permute(0, 2, 3, 1)
+        x_279 = torch.nn.functional.layer_norm(
+            x_278,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_278 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_ = (None)
+        x_280 = x_279.permute(0, 3, 1, 2)
+        x_279 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_280 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_19 = torch.functional.split(x_281, [512, 512, 3], 1)
+        x_281 = None
+        q_19 = split_19[0]
+        ctx_19 = split_19[1]
+        gates_19 = split_19[2]
+        split_19 = None
+        input_77 = torch.conv2d(
+            ctx_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_19 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_78 = torch._C._nn.gelu(input_77, approximate="none")
+        input_77 = None
+        getitem_117 = gates_19[(slice(None, None, None), slice(0, 1, None))]
+        mul_76 = input_78 * getitem_117
+        getitem_117 = None
+        ctx_all_57 = 0 + mul_76
+        mul_76 = None
+        input_79 = torch.conv2d(
+            input_78,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_78 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_80 = torch._C._nn.gelu(input_79, approximate="none")
+        input_79 = None
+        getitem_118 = gates_19[(slice(None, None, None), slice(1, 2, None))]
+        mul_77 = input_80 * getitem_118
+        getitem_118 = None
+        ctx_all_58 = ctx_all_57 + mul_77
+        ctx_all_57 = mul_77 = None
+        mean_19 = input_80.mean((2, 3), keepdim=True)
+        input_80 = None
+        ctx_global_19 = torch._C._nn.gelu(mean_19, approximate="none")
+        mean_19 = None
+        getitem_119 = gates_19[(slice(None, None, None), slice(2, None, None))]
+        gates_19 = None
+        mul_78 = ctx_global_19 * getitem_119
+        ctx_global_19 = getitem_119 = None
+        ctx_all_59 = ctx_all_58 + mul_78
+        ctx_all_58 = mul_78 = None
+        conv2d_139 = torch.conv2d(
+            ctx_all_59,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_59 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_57 = q_19 * conv2d_139
+        q_19 = conv2d_139 = None
+        x_out_58 = torch.conv2d(
+            x_out_57,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_57 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_59 = torch.nn.functional.dropout(x_out_58, 0.0, False, False)
+        x_out_58 = None
+        x_282 = x_277 + x_out_59
+        x_277 = x_out_59 = None
+        x_283 = x_282.permute(0, 2, 3, 1)
+        x_284 = torch.nn.functional.layer_norm(
+            x_283,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_283 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_ = (None)
+        x_285 = x_284.permute(0, 3, 1, 2)
+        x_284 = None
+        x_286 = torch.conv2d(
+            x_285,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_285 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_287 = torch._C._nn.gelu(x_286, approximate="none")
+        x_286 = None
+        x_288 = torch.nn.functional.dropout(x_287, 0.0, False, False)
+        x_287 = None
+        x_289 = torch.conv2d(
+            x_288,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_288 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_290 = torch.nn.functional.dropout(x_289, 0.0, False, False)
+        x_289 = None
+        x_291 = x_282 + x_290
+        x_282 = x_290 = None
+        x_292 = x_291.permute(0, 2, 3, 1)
+        x_293 = torch.nn.functional.layer_norm(
+            x_292,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_292 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_ = (None)
+        x_294 = x_293.permute(0, 3, 1, 2)
+        x_293 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_20 = torch.functional.split(x_295, [512, 512, 3], 1)
+        x_295 = None
+        q_20 = split_20[0]
+        ctx_20 = split_20[1]
+        gates_20 = split_20[2]
+        split_20 = None
+        input_81 = torch.conv2d(
+            ctx_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_20 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_82 = torch._C._nn.gelu(input_81, approximate="none")
+        input_81 = None
+        getitem_123 = gates_20[(slice(None, None, None), slice(0, 1, None))]
+        mul_80 = input_82 * getitem_123
+        getitem_123 = None
+        ctx_all_60 = 0 + mul_80
+        mul_80 = None
+        input_83 = torch.conv2d(
+            input_82,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_82 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_84 = torch._C._nn.gelu(input_83, approximate="none")
+        input_83 = None
+        getitem_124 = gates_20[(slice(None, None, None), slice(1, 2, None))]
+        mul_81 = input_84 * getitem_124
+        getitem_124 = None
+        ctx_all_61 = ctx_all_60 + mul_81
+        ctx_all_60 = mul_81 = None
+        mean_20 = input_84.mean((2, 3), keepdim=True)
+        input_84 = None
+        ctx_global_20 = torch._C._nn.gelu(mean_20, approximate="none")
+        mean_20 = None
+        getitem_125 = gates_20[(slice(None, None, None), slice(2, None, None))]
+        gates_20 = None
+        mul_82 = ctx_global_20 * getitem_125
+        ctx_global_20 = getitem_125 = None
+        ctx_all_62 = ctx_all_61 + mul_82
+        ctx_all_61 = mul_82 = None
+        conv2d_146 = torch.conv2d(
+            ctx_all_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_62 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_60 = q_20 * conv2d_146
+        q_20 = conv2d_146 = None
+        x_out_61 = torch.conv2d(
+            x_out_60,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_60 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_62 = torch.nn.functional.dropout(x_out_61, 0.0, False, False)
+        x_out_61 = None
+        x_296 = x_291 + x_out_62
+        x_291 = x_out_62 = None
+        x_297 = x_296.permute(0, 2, 3, 1)
+        x_298 = torch.nn.functional.layer_norm(
+            x_297,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_297 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_ = (None)
+        x_299 = x_298.permute(0, 3, 1, 2)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_299 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_301 = torch._C._nn.gelu(x_300, approximate="none")
+        x_300 = None
+        x_302 = torch.nn.functional.dropout(x_301, 0.0, False, False)
+        x_301 = None
+        x_303 = torch.conv2d(
+            x_302,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_302 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_304 = torch.nn.functional.dropout(x_303, 0.0, False, False)
+        x_303 = None
+        x_305 = x_296 + x_304
+        x_296 = x_304 = None
+        x_306 = x_305.permute(0, 2, 3, 1)
+        x_307 = torch.nn.functional.layer_norm(
+            x_306,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_306 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_ = (None)
+        x_308 = x_307.permute(0, 3, 1, 2)
+        x_307 = None
+        x_309 = torch.conv2d(
+            x_308,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_308 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_21 = torch.functional.split(x_309, [512, 512, 3], 1)
+        x_309 = None
+        q_21 = split_21[0]
+        ctx_21 = split_21[1]
+        gates_21 = split_21[2]
+        split_21 = None
+        input_85 = torch.conv2d(
+            ctx_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_21 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_86 = torch._C._nn.gelu(input_85, approximate="none")
+        input_85 = None
+        getitem_129 = gates_21[(slice(None, None, None), slice(0, 1, None))]
+        mul_84 = input_86 * getitem_129
+        getitem_129 = None
+        ctx_all_63 = 0 + mul_84
+        mul_84 = None
+        input_87 = torch.conv2d(
+            input_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_86 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_88 = torch._C._nn.gelu(input_87, approximate="none")
+        input_87 = None
+        getitem_130 = gates_21[(slice(None, None, None), slice(1, 2, None))]
+        mul_85 = input_88 * getitem_130
+        getitem_130 = None
+        ctx_all_64 = ctx_all_63 + mul_85
+        ctx_all_63 = mul_85 = None
+        mean_21 = input_88.mean((2, 3), keepdim=True)
+        input_88 = None
+        ctx_global_21 = torch._C._nn.gelu(mean_21, approximate="none")
+        mean_21 = None
+        getitem_131 = gates_21[(slice(None, None, None), slice(2, None, None))]
+        gates_21 = None
+        mul_86 = ctx_global_21 * getitem_131
+        ctx_global_21 = getitem_131 = None
+        ctx_all_65 = ctx_all_64 + mul_86
+        ctx_all_64 = mul_86 = None
+        conv2d_153 = torch.conv2d(
+            ctx_all_65,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_65 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_63 = q_21 * conv2d_153
+        q_21 = conv2d_153 = None
+        x_out_64 = torch.conv2d(
+            x_out_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_63 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_65 = torch.nn.functional.dropout(x_out_64, 0.0, False, False)
+        x_out_64 = None
+        x_310 = x_305 + x_out_65
+        x_305 = x_out_65 = None
+        x_311 = x_310.permute(0, 2, 3, 1)
+        x_312 = torch.nn.functional.layer_norm(
+            x_311,
+            (512,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_311 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_ = (None)
+        x_313 = x_312.permute(0, 3, 1, 2)
+        x_312 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_315 = torch._C._nn.gelu(x_314, approximate="none")
+        x_314 = None
+        x_316 = torch.nn.functional.dropout(x_315, 0.0, False, False)
+        x_315 = None
+        x_317 = torch.conv2d(
+            x_316,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_316 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_318 = torch.nn.functional.dropout(x_317, 0.0, False, False)
+        x_317 = None
+        x_319 = x_310 + x_318
+        x_310 = x_318 = None
+        x_320 = torch.conv2d(
+            x_319,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_319 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_321 = x_320.permute(0, 2, 3, 1)
+        x_320 = None
+        x_322 = torch.nn.functional.layer_norm(
+            x_321,
+            (1024,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_321 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_323 = x_322.permute(0, 3, 1, 2)
+        x_322 = None
+        x_324 = x_323.permute(0, 2, 3, 1)
+        x_325 = torch.nn.functional.layer_norm(
+            x_324,
+            (1024,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_324 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_326 = x_325.permute(0, 3, 1, 2)
+        x_325 = None
+        x_327 = torch.conv2d(
+            x_326,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_326 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_22 = torch.functional.split(x_327, [1024, 1024, 3], 1)
+        x_327 = None
+        q_22 = split_22[0]
+        ctx_22 = split_22[1]
+        gates_22 = split_22[2]
+        split_22 = None
+        input_89 = torch.conv2d(
+            ctx_22,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_22 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_90 = torch._C._nn.gelu(input_89, approximate="none")
+        input_89 = None
+        getitem_135 = gates_22[(slice(None, None, None), slice(0, 1, None))]
+        mul_88 = input_90 * getitem_135
+        getitem_135 = None
+        ctx_all_66 = 0 + mul_88
+        mul_88 = None
+        input_91 = torch.conv2d(
+            input_90,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_90 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_92 = torch._C._nn.gelu(input_91, approximate="none")
+        input_91 = None
+        getitem_136 = gates_22[(slice(None, None, None), slice(1, 2, None))]
+        mul_89 = input_92 * getitem_136
+        getitem_136 = None
+        ctx_all_67 = ctx_all_66 + mul_89
+        ctx_all_66 = mul_89 = None
+        mean_22 = input_92.mean((2, 3), keepdim=True)
+        input_92 = None
+        ctx_global_22 = torch._C._nn.gelu(mean_22, approximate="none")
+        mean_22 = None
+        getitem_137 = gates_22[(slice(None, None, None), slice(2, None, None))]
+        gates_22 = None
+        mul_90 = ctx_global_22 * getitem_137
+        ctx_global_22 = getitem_137 = None
+        ctx_all_68 = ctx_all_67 + mul_90
+        ctx_all_67 = mul_90 = None
+        conv2d_161 = torch.conv2d(
+            ctx_all_68,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_68 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_66 = q_22 * conv2d_161
+        q_22 = conv2d_161 = None
+        x_out_67 = torch.conv2d(
+            x_out_66,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_66 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_68 = torch.nn.functional.dropout(x_out_67, 0.0, False, False)
+        x_out_67 = None
+        x_328 = x_323 + x_out_68
+        x_323 = x_out_68 = None
+        x_329 = x_328.permute(0, 2, 3, 1)
+        x_330 = torch.nn.functional.layer_norm(
+            x_329,
+            (1024,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_329 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_331 = x_330.permute(0, 3, 1, 2)
+        x_330 = None
+        x_332 = torch.conv2d(
+            x_331,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_331 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_333 = torch._C._nn.gelu(x_332, approximate="none")
+        x_332 = None
+        x_334 = torch.nn.functional.dropout(x_333, 0.0, False, False)
+        x_333 = None
+        x_335 = torch.conv2d(
+            x_334,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_334 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_336 = torch.nn.functional.dropout(x_335, 0.0, False, False)
+        x_335 = None
+        x_337 = x_328 + x_336
+        x_328 = x_336 = None
+        x_338 = x_337.permute(0, 2, 3, 1)
+        x_339 = torch.nn.functional.layer_norm(
+            x_338,
+            (1024,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_338 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_340 = x_339.permute(0, 3, 1, 2)
+        x_339 = None
+        x_341 = torch.conv2d(
+            x_340,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_340 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_23 = torch.functional.split(x_341, [1024, 1024, 3], 1)
+        x_341 = None
+        q_23 = split_23[0]
+        ctx_23 = split_23[1]
+        gates_23 = split_23[2]
+        split_23 = None
+        input_93 = torch.conv2d(
+            ctx_23,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_23 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_94 = torch._C._nn.gelu(input_93, approximate="none")
+        input_93 = None
+        getitem_141 = gates_23[(slice(None, None, None), slice(0, 1, None))]
+        mul_92 = input_94 * getitem_141
+        getitem_141 = None
+        ctx_all_69 = 0 + mul_92
+        mul_92 = None
+        input_95 = torch.conv2d(
+            input_94,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_94 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_96 = torch._C._nn.gelu(input_95, approximate="none")
+        input_95 = None
+        getitem_142 = gates_23[(slice(None, None, None), slice(1, 2, None))]
+        mul_93 = input_96 * getitem_142
+        getitem_142 = None
+        ctx_all_70 = ctx_all_69 + mul_93
+        ctx_all_69 = mul_93 = None
+        mean_23 = input_96.mean((2, 3), keepdim=True)
+        input_96 = None
+        ctx_global_23 = torch._C._nn.gelu(mean_23, approximate="none")
+        mean_23 = None
+        getitem_143 = gates_23[(slice(None, None, None), slice(2, None, None))]
+        gates_23 = None
+        mul_94 = ctx_global_23 * getitem_143
+        ctx_global_23 = getitem_143 = None
+        ctx_all_71 = ctx_all_70 + mul_94
+        ctx_all_70 = mul_94 = None
+        conv2d_168 = torch.conv2d(
+            ctx_all_71,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_71 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_69 = q_23 * conv2d_168
+        q_23 = conv2d_168 = None
+        x_out_70 = torch.conv2d(
+            x_out_69,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_69 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_71 = torch.nn.functional.dropout(x_out_70, 0.0, False, False)
+        x_out_70 = None
+        x_342 = x_337 + x_out_71
+        x_337 = x_out_71 = None
+        x_343 = x_342.permute(0, 2, 3, 1)
+        x_344 = torch.nn.functional.layer_norm(
+            x_343,
+            (1024,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_343 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_345 = x_344.permute(0, 3, 1, 2)
+        x_344 = None
+        x_346 = torch.conv2d(
+            x_345,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_345 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_347 = torch._C._nn.gelu(x_346, approximate="none")
+        x_346 = None
+        x_348 = torch.nn.functional.dropout(x_347, 0.0, False, False)
+        x_347 = None
+        x_349 = torch.conv2d(
+            x_348,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_348 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_350 = torch.nn.functional.dropout(x_349, 0.0, False, False)
+        x_349 = None
+        x_351 = x_342 + x_350
+        x_342 = x_350 = None
+        x_352 = x_351.permute(0, 2, 3, 1)
+        x_351 = None
+        x_353 = torch.nn.functional.layer_norm(
+            x_352,
+            (1024,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_352 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_354 = x_353.permute(0, 3, 1, 2)
+        x_353 = None
+        x_355 = torch.nn.functional.adaptive_avg_pool2d(x_354, 1)
+        x_354 = None
+        x_356 = x_355.flatten(1, -1)
+        x_355 = None
+        x_357 = torch.nn.functional.dropout(x_356, 0.0, False, False)
+        x_356 = None
+        x_358 = torch._C._nn.linear(
+            x_357,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_357 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_358,)
diff --git a/samples/timm/focalnet_base_srf.ms_in1k/weight_meta.py b/samples/timm/focalnet_base_srf.ms_in1k/weight_meta.py
new file mode 100644
index 000000000..cc11481bf
--- /dev/null
+++ b/samples/timm/focalnet_base_srf.ms_in1k/weight_meta.py
@@ -0,0 +1,4058 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [128, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.228
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [259, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [259]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [259, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [259]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [512, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [256, 128, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [515, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [515]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [515, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [515]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [512, 256, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_"
+    shape = [1027, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_"
+    shape = [1027]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [1024, 512, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [2051, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [2051]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [2051, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [2051]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_huge_fl3.ms_in22k/graph_hash.txt b/samples/timm/focalnet_huge_fl3.ms_in22k/graph_hash.txt
new file mode 100644
index 000000000..ccb30c733
--- /dev/null
+++ b/samples/timm/focalnet_huge_fl3.ms_in22k/graph_hash.txt
@@ -0,0 +1 @@
+5385cf78653e5e90a8f358dd5318f7093ee5929d9610a246dd3151598f36c2bd
\ No newline at end of file
diff --git a/samples/timm/focalnet_huge_fl3.ms_in22k/graph_net.json b/samples/timm/focalnet_huge_fl3.ms_in22k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_huge_fl3.ms_in22k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_huge_fl3.ms_in22k/input_meta.py b/samples/timm/focalnet_huge_fl3.ms_in22k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_huge_fl3.ms_in22k/input_tensor_constraints.py b/samples/timm/focalnet_huge_fl3.ms_in22k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_huge_fl3.ms_in22k/model.py b/samples/timm/focalnet_huge_fl3.ms_in22k/model.py
new file mode 100644
index 000000000..758db61c8
--- /dev/null
+++ b/samples/timm/focalnet_huge_fl3.ms_in22k/model.py
@@ -0,0 +1,5583 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (2, 2),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (352,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = torch.conv2d(
+            x_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_4, [352, 352, 4], 1)
+        x_4 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            352,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            352,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        input_5 = torch.conv2d(
+            input_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            352,
+        )
+        input_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, 3, None))]
+        mul_2 = input_6 * getitem_5
+        getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        mean = input_6.mean((2, 3), keepdim=True)
+        input_6 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_6 = gates[(slice(None, None, None), slice(3, None, None))]
+        gates = None
+        mul_3 = ctx_global * getitem_6
+        ctx_global = getitem_6 = None
+        ctx_all_3 = ctx_all_2 + mul_3
+        ctx_all_2 = mul_3 = None
+        conv2d_5 = torch.conv2d(
+            ctx_all_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_3 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_5
+        q = conv2d_5 = None
+        x_5 = x_out.permute(0, 2, 3, 1)
+        x_out = None
+        x_6 = torch.nn.functional.layer_norm(
+            x_5,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_5 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_7 = x_6.permute(0, 3, 1, 2)
+        x_6 = None
+        x_out_1 = torch.conv2d(
+            x_7,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_8 = x_out_2.permute(0, 2, 3, 1)
+        x_out_2 = None
+        x_9 = torch.nn.functional.layer_norm(
+            x_8,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_8 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_10 = x_9.permute(0, 3, 1, 2)
+        x_9 = None
+        gamma = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_5 = x_10 * gamma
+        x_10 = gamma = None
+        x_11 = x_3 + mul_5
+        x_3 = mul_5 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_13 = torch._C._nn.gelu(x_12, approximate="none")
+        x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_16.permute(0, 2, 3, 1)
+        x_16 = None
+        x_18 = torch.nn.functional.layer_norm(
+            x_17,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_17 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_19 = x_18.permute(0, 3, 1, 2)
+        x_18 = None
+        gamma_1 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_6 = x_19 * gamma_1
+        x_19 = gamma_1 = None
+        x_20 = x_11 + mul_6
+        x_11 = mul_6 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_21, [352, 352, 4], 1)
+        x_21 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_7 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            352,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_10 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_7 = input_8 * getitem_10
+        getitem_10 = None
+        ctx_all_4 = 0 + mul_7
+        mul_7 = None
+        input_9 = torch.conv2d(
+            input_8,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            352,
+        )
+        input_8 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_8 = input_10 * getitem_11
+        getitem_11 = None
+        ctx_all_5 = ctx_all_4 + mul_8
+        ctx_all_4 = mul_8 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            352,
+        )
+        input_10 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_12 = gates_1[(slice(None, None, None), slice(2, 3, None))]
+        mul_9 = input_12 * getitem_12
+        getitem_12 = None
+        ctx_all_6 = ctx_all_5 + mul_9
+        ctx_all_5 = mul_9 = None
+        mean_1 = input_12.mean((2, 3), keepdim=True)
+        input_12 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_13 = gates_1[(slice(None, None, None), slice(3, None, None))]
+        gates_1 = None
+        mul_10 = ctx_global_1 * getitem_13
+        ctx_global_1 = getitem_13 = None
+        ctx_all_7 = ctx_all_6 + mul_10
+        ctx_all_6 = mul_10 = None
+        conv2d_13 = torch.conv2d(
+            ctx_all_7,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_7 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_13
+        q_1 = conv2d_13 = None
+        x_22 = x_out_3.permute(0, 2, 3, 1)
+        x_out_3 = None
+        x_23 = torch.nn.functional.layer_norm(
+            x_22,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_22 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_24 = x_23.permute(0, 3, 1, 2)
+        x_23 = None
+        x_out_4 = torch.conv2d(
+            x_24,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_25 = x_out_5.permute(0, 2, 3, 1)
+        x_out_5 = None
+        x_26 = torch.nn.functional.layer_norm(
+            x_25,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_27 = x_26.permute(0, 3, 1, 2)
+        x_26 = None
+        gamma_2 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_12 = x_27 * gamma_2
+        x_27 = gamma_2 = None
+        x_28 = x_20 + mul_12
+        x_20 = mul_12 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_30 = torch._C._nn.gelu(x_29, approximate="none")
+        x_29 = None
+        x_31 = torch.nn.functional.dropout(x_30, 0.0, False, False)
+        x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_33 = torch.nn.functional.dropout(x_32, 0.0, False, False)
+        x_32 = None
+        x_34 = x_33.permute(0, 2, 3, 1)
+        x_33 = None
+        x_35 = torch.nn.functional.layer_norm(
+            x_34,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_34 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_36 = x_35.permute(0, 3, 1, 2)
+        x_35 = None
+        gamma_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_13 = x_36 * gamma_3
+        x_36 = gamma_3 = None
+        x_37 = x_28 + mul_13
+        x_28 = mul_13 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_37 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_39 = x_38.permute(0, 2, 3, 1)
+        x_38 = None
+        x_40 = torch.nn.functional.layer_norm(
+            x_39,
+            (704,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_39 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_41 = x_40.permute(0, 3, 1, 2)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_42, [704, 704, 4], 1)
+        x_42 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_13 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            704,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_17 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_14 = input_14 * getitem_17
+        getitem_17 = None
+        ctx_all_8 = 0 + mul_14
+        mul_14 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            704,
+        )
+        input_14 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_18 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_15 = input_16 * getitem_18
+        getitem_18 = None
+        ctx_all_9 = ctx_all_8 + mul_15
+        ctx_all_8 = mul_15 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            704,
+        )
+        input_16 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_19 = gates_2[(slice(None, None, None), slice(2, 3, None))]
+        mul_16 = input_18 * getitem_19
+        getitem_19 = None
+        ctx_all_10 = ctx_all_9 + mul_16
+        ctx_all_9 = mul_16 = None
+        mean_2 = input_18.mean((2, 3), keepdim=True)
+        input_18 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_20 = gates_2[(slice(None, None, None), slice(3, None, None))]
+        gates_2 = None
+        mul_17 = ctx_global_2 * getitem_20
+        ctx_global_2 = getitem_20 = None
+        ctx_all_11 = ctx_all_10 + mul_17
+        ctx_all_10 = mul_17 = None
+        conv2d_22 = torch.conv2d(
+            ctx_all_11,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_11 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_22
+        q_2 = conv2d_22 = None
+        x_43 = x_out_6.permute(0, 2, 3, 1)
+        x_out_6 = None
+        x_44 = torch.nn.functional.layer_norm(
+            x_43,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_45 = x_44.permute(0, 3, 1, 2)
+        x_44 = None
+        x_out_7 = torch.conv2d(
+            x_45,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_45 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_46 = x_out_8.permute(0, 2, 3, 1)
+        x_out_8 = None
+        x_47 = torch.nn.functional.layer_norm(
+            x_46,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_48 = x_47.permute(0, 3, 1, 2)
+        x_47 = None
+        gamma_4 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_19 = x_48 * gamma_4
+        x_48 = gamma_4 = None
+        x_49 = x_41 + mul_19
+        x_41 = mul_19 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_51 = torch._C._nn.gelu(x_50, approximate="none")
+        x_50 = None
+        x_52 = torch.nn.functional.dropout(x_51, 0.0, False, False)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_54 = torch.nn.functional.dropout(x_53, 0.0, False, False)
+        x_53 = None
+        x_55 = x_54.permute(0, 2, 3, 1)
+        x_54 = None
+        x_56 = torch.nn.functional.layer_norm(
+            x_55,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_55 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_57 = x_56.permute(0, 3, 1, 2)
+        x_56 = None
+        gamma_5 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_20 = x_57 * gamma_5
+        x_57 = gamma_5 = None
+        x_58 = x_49 + mul_20
+        x_49 = mul_20 = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_59, [704, 704, 4], 1)
+        x_59 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_19 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            704,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_24 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_21 = input_20 * getitem_24
+        getitem_24 = None
+        ctx_all_12 = 0 + mul_21
+        mul_21 = None
+        input_21 = torch.conv2d(
+            input_20,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            704,
+        )
+        input_20 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_25 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_22 = input_22 * getitem_25
+        getitem_25 = None
+        ctx_all_13 = ctx_all_12 + mul_22
+        ctx_all_12 = mul_22 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            704,
+        )
+        input_22 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_26 = gates_3[(slice(None, None, None), slice(2, 3, None))]
+        mul_23 = input_24 * getitem_26
+        getitem_26 = None
+        ctx_all_14 = ctx_all_13 + mul_23
+        ctx_all_13 = mul_23 = None
+        mean_3 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_27 = gates_3[(slice(None, None, None), slice(3, None, None))]
+        gates_3 = None
+        mul_24 = ctx_global_3 * getitem_27
+        ctx_global_3 = getitem_27 = None
+        ctx_all_15 = ctx_all_14 + mul_24
+        ctx_all_14 = mul_24 = None
+        conv2d_30 = torch.conv2d(
+            ctx_all_15,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_15 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_30
+        q_3 = conv2d_30 = None
+        x_60 = x_out_9.permute(0, 2, 3, 1)
+        x_out_9 = None
+        x_61 = torch.nn.functional.layer_norm(
+            x_60,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_62 = x_61.permute(0, 3, 1, 2)
+        x_61 = None
+        x_out_10 = torch.conv2d(
+            x_62,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_63 = x_out_11.permute(0, 2, 3, 1)
+        x_out_11 = None
+        x_64 = torch.nn.functional.layer_norm(
+            x_63,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_63 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 3, 1, 2)
+        x_64 = None
+        gamma_6 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_26 = x_65 * gamma_6
+        x_65 = gamma_6 = None
+        x_66 = x_58 + mul_26
+        x_58 = mul_26 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_68 = torch._C._nn.gelu(x_67, approximate="none")
+        x_67 = None
+        x_69 = torch.nn.functional.dropout(x_68, 0.0, False, False)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_69 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_71 = torch.nn.functional.dropout(x_70, 0.0, False, False)
+        x_70 = None
+        x_72 = x_71.permute(0, 2, 3, 1)
+        x_71 = None
+        x_73 = torch.nn.functional.layer_norm(
+            x_72,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_72 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_74 = x_73.permute(0, 3, 1, 2)
+        x_73 = None
+        gamma_7 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_27 = x_74 * gamma_7
+        x_74 = gamma_7 = None
+        x_75 = x_66 + mul_27
+        x_66 = mul_27 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_77 = x_76.permute(0, 2, 3, 1)
+        x_76 = None
+        x_78 = torch.nn.functional.layer_norm(
+            x_77,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_77 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_79 = x_78.permute(0, 3, 1, 2)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_80, [1408, 1408, 4], 1)
+        x_80 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_25 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_31 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_28 = input_26 * getitem_31
+        getitem_31 = None
+        ctx_all_16 = 0 + mul_28
+        mul_28 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_26 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_32 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_29 = input_28 * getitem_32
+        getitem_32 = None
+        ctx_all_17 = ctx_all_16 + mul_29
+        ctx_all_16 = mul_29 = None
+        input_29 = torch.conv2d(
+            input_28,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_28 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_33 = gates_4[(slice(None, None, None), slice(2, 3, None))]
+        mul_30 = input_30 * getitem_33
+        getitem_33 = None
+        ctx_all_18 = ctx_all_17 + mul_30
+        ctx_all_17 = mul_30 = None
+        mean_4 = input_30.mean((2, 3), keepdim=True)
+        input_30 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_34 = gates_4[(slice(None, None, None), slice(3, None, None))]
+        gates_4 = None
+        mul_31 = ctx_global_4 * getitem_34
+        ctx_global_4 = getitem_34 = None
+        ctx_all_19 = ctx_all_18 + mul_31
+        ctx_all_18 = mul_31 = None
+        conv2d_39 = torch.conv2d(
+            ctx_all_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_19 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_39
+        q_4 = conv2d_39 = None
+        x_81 = x_out_12.permute(0, 2, 3, 1)
+        x_out_12 = None
+        x_82 = torch.nn.functional.layer_norm(
+            x_81,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_81 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_83 = x_82.permute(0, 3, 1, 2)
+        x_82 = None
+        x_out_13 = torch.conv2d(
+            x_83,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_83 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_84 = x_out_14.permute(0, 2, 3, 1)
+        x_out_14 = None
+        x_85 = torch.nn.functional.layer_norm(
+            x_84,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_84 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_86 = x_85.permute(0, 3, 1, 2)
+        x_85 = None
+        gamma_8 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_33 = x_86 * gamma_8
+        x_86 = gamma_8 = None
+        x_87 = x_79 + mul_33
+        x_79 = mul_33 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_89 = torch._C._nn.gelu(x_88, approximate="none")
+        x_88 = None
+        x_90 = torch.nn.functional.dropout(x_89, 0.0, False, False)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_90 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = x_92.permute(0, 2, 3, 1)
+        x_92 = None
+        x_94 = torch.nn.functional.layer_norm(
+            x_93,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_93 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_95 = x_94.permute(0, 3, 1, 2)
+        x_94 = None
+        gamma_9 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_34 = x_95 * gamma_9
+        x_95 = gamma_9 = None
+        x_96 = x_87 + mul_34
+        x_87 = mul_34 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_97, [1408, 1408, 4], 1)
+        x_97 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_31 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_38 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_35 = input_32 * getitem_38
+        getitem_38 = None
+        ctx_all_20 = 0 + mul_35
+        mul_35 = None
+        input_33 = torch.conv2d(
+            input_32,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_32 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_39 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_36 = input_34 * getitem_39
+        getitem_39 = None
+        ctx_all_21 = ctx_all_20 + mul_36
+        ctx_all_20 = mul_36 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_40 = gates_5[(slice(None, None, None), slice(2, 3, None))]
+        mul_37 = input_36 * getitem_40
+        getitem_40 = None
+        ctx_all_22 = ctx_all_21 + mul_37
+        ctx_all_21 = mul_37 = None
+        mean_5 = input_36.mean((2, 3), keepdim=True)
+        input_36 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_41 = gates_5[(slice(None, None, None), slice(3, None, None))]
+        gates_5 = None
+        mul_38 = ctx_global_5 * getitem_41
+        ctx_global_5 = getitem_41 = None
+        ctx_all_23 = ctx_all_22 + mul_38
+        ctx_all_22 = mul_38 = None
+        conv2d_47 = torch.conv2d(
+            ctx_all_23,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_23 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_47
+        q_5 = conv2d_47 = None
+        x_98 = x_out_15.permute(0, 2, 3, 1)
+        x_out_15 = None
+        x_99 = torch.nn.functional.layer_norm(
+            x_98,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_98 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_100 = x_99.permute(0, 3, 1, 2)
+        x_99 = None
+        x_out_16 = torch.conv2d(
+            x_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_101 = x_out_17.permute(0, 2, 3, 1)
+        x_out_17 = None
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_101 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_103 = x_102.permute(0, 3, 1, 2)
+        x_102 = None
+        gamma_10 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_40 = x_103 * gamma_10
+        x_103 = gamma_10 = None
+        x_104 = x_96 + mul_40
+        x_96 = mul_40 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_106 = torch._C._nn.gelu(x_105, approximate="none")
+        x_105 = None
+        x_107 = torch.nn.functional.dropout(x_106, 0.0, False, False)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_109 = torch.nn.functional.dropout(x_108, 0.0, False, False)
+        x_108 = None
+        x_110 = x_109.permute(0, 2, 3, 1)
+        x_109 = None
+        x_111 = torch.nn.functional.layer_norm(
+            x_110,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_110 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_112 = x_111.permute(0, 3, 1, 2)
+        x_111 = None
+        gamma_11 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_41 = x_112 * gamma_11
+        x_112 = gamma_11 = None
+        x_113 = x_104 + mul_41
+        x_104 = mul_41 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_114, [1408, 1408, 4], 1)
+        x_114 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_37 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_45 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_42 = input_38 * getitem_45
+        getitem_45 = None
+        ctx_all_24 = 0 + mul_42
+        mul_42 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_46 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_43 = input_40 * getitem_46
+        getitem_46 = None
+        ctx_all_25 = ctx_all_24 + mul_43
+        ctx_all_24 = mul_43 = None
+        input_41 = torch.conv2d(
+            input_40,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_40 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_47 = gates_6[(slice(None, None, None), slice(2, 3, None))]
+        mul_44 = input_42 * getitem_47
+        getitem_47 = None
+        ctx_all_26 = ctx_all_25 + mul_44
+        ctx_all_25 = mul_44 = None
+        mean_6 = input_42.mean((2, 3), keepdim=True)
+        input_42 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_48 = gates_6[(slice(None, None, None), slice(3, None, None))]
+        gates_6 = None
+        mul_45 = ctx_global_6 * getitem_48
+        ctx_global_6 = getitem_48 = None
+        ctx_all_27 = ctx_all_26 + mul_45
+        ctx_all_26 = mul_45 = None
+        conv2d_55 = torch.conv2d(
+            ctx_all_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_27 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_55
+        q_6 = conv2d_55 = None
+        x_115 = x_out_18.permute(0, 2, 3, 1)
+        x_out_18 = None
+        x_116 = torch.nn.functional.layer_norm(
+            x_115,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_115 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_117 = x_116.permute(0, 3, 1, 2)
+        x_116 = None
+        x_out_19 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_118 = x_out_20.permute(0, 2, 3, 1)
+        x_out_20 = None
+        x_119 = torch.nn.functional.layer_norm(
+            x_118,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_118 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = (None)
+        x_120 = x_119.permute(0, 3, 1, 2)
+        x_119 = None
+        gamma_12 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_47 = x_120 * gamma_12
+        x_120 = gamma_12 = None
+        x_121 = x_113 + mul_47
+        x_113 = mul_47 = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_123 = torch._C._nn.gelu(x_122, approximate="none")
+        x_122 = None
+        x_124 = torch.nn.functional.dropout(x_123, 0.0, False, False)
+        x_123 = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_126 = torch.nn.functional.dropout(x_125, 0.0, False, False)
+        x_125 = None
+        x_127 = x_126.permute(0, 2, 3, 1)
+        x_126 = None
+        x_128 = torch.nn.functional.layer_norm(
+            x_127,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_127 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = (None)
+        x_129 = x_128.permute(0, 3, 1, 2)
+        x_128 = None
+        gamma_13 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_48 = x_129 * gamma_13
+        x_129 = gamma_13 = None
+        x_130 = x_121 + mul_48
+        x_121 = mul_48 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_131, [1408, 1408, 4], 1)
+        x_131 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_43 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_52 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_49 = input_44 * getitem_52
+        getitem_52 = None
+        ctx_all_28 = 0 + mul_49
+        mul_49 = None
+        input_45 = torch.conv2d(
+            input_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_44 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_53 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_50 = input_46 * getitem_53
+        getitem_53 = None
+        ctx_all_29 = ctx_all_28 + mul_50
+        ctx_all_28 = mul_50 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_46 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_54 = gates_7[(slice(None, None, None), slice(2, 3, None))]
+        mul_51 = input_48 * getitem_54
+        getitem_54 = None
+        ctx_all_30 = ctx_all_29 + mul_51
+        ctx_all_29 = mul_51 = None
+        mean_7 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_55 = gates_7[(slice(None, None, None), slice(3, None, None))]
+        gates_7 = None
+        mul_52 = ctx_global_7 * getitem_55
+        ctx_global_7 = getitem_55 = None
+        ctx_all_31 = ctx_all_30 + mul_52
+        ctx_all_30 = mul_52 = None
+        conv2d_63 = torch.conv2d(
+            ctx_all_31,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_31 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_63
+        q_7 = conv2d_63 = None
+        x_132 = x_out_21.permute(0, 2, 3, 1)
+        x_out_21 = None
+        x_133 = torch.nn.functional.layer_norm(
+            x_132,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_132 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_134 = x_133.permute(0, 3, 1, 2)
+        x_133 = None
+        x_out_22 = torch.conv2d(
+            x_134,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_135 = x_out_23.permute(0, 2, 3, 1)
+        x_out_23 = None
+        x_136 = torch.nn.functional.layer_norm(
+            x_135,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_135 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = (None)
+        x_137 = x_136.permute(0, 3, 1, 2)
+        x_136 = None
+        gamma_14 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_54 = x_137 * gamma_14
+        x_137 = gamma_14 = None
+        x_138 = x_130 + mul_54
+        x_130 = mul_54 = None
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_140 = torch._C._nn.gelu(x_139, approximate="none")
+        x_139 = None
+        x_141 = torch.nn.functional.dropout(x_140, 0.0, False, False)
+        x_140 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_141 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_143 = torch.nn.functional.dropout(x_142, 0.0, False, False)
+        x_142 = None
+        x_144 = x_143.permute(0, 2, 3, 1)
+        x_143 = None
+        x_145 = torch.nn.functional.layer_norm(
+            x_144,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_144 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = (None)
+        x_146 = x_145.permute(0, 3, 1, 2)
+        x_145 = None
+        gamma_15 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_55 = x_146 * gamma_15
+        x_146 = gamma_15 = None
+        x_147 = x_138 + mul_55
+        x_138 = mul_55 = None
+        x_148 = torch.conv2d(
+            x_147,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_148, [1408, 1408, 4], 1)
+        x_148 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_49 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_50 = torch._C._nn.gelu(input_49, approximate="none")
+        input_49 = None
+        getitem_59 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_56 = input_50 * getitem_59
+        getitem_59 = None
+        ctx_all_32 = 0 + mul_56
+        mul_56 = None
+        input_51 = torch.conv2d(
+            input_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_50 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_52 = torch._C._nn.gelu(input_51, approximate="none")
+        input_51 = None
+        getitem_60 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_57 = input_52 * getitem_60
+        getitem_60 = None
+        ctx_all_33 = ctx_all_32 + mul_57
+        ctx_all_32 = mul_57 = None
+        input_53 = torch.conv2d(
+            input_52,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_52 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_54 = torch._C._nn.gelu(input_53, approximate="none")
+        input_53 = None
+        getitem_61 = gates_8[(slice(None, None, None), slice(2, 3, None))]
+        mul_58 = input_54 * getitem_61
+        getitem_61 = None
+        ctx_all_34 = ctx_all_33 + mul_58
+        ctx_all_33 = mul_58 = None
+        mean_8 = input_54.mean((2, 3), keepdim=True)
+        input_54 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_62 = gates_8[(slice(None, None, None), slice(3, None, None))]
+        gates_8 = None
+        mul_59 = ctx_global_8 * getitem_62
+        ctx_global_8 = getitem_62 = None
+        ctx_all_35 = ctx_all_34 + mul_59
+        ctx_all_34 = mul_59 = None
+        conv2d_71 = torch.conv2d(
+            ctx_all_35,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_35 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_71
+        q_8 = conv2d_71 = None
+        x_149 = x_out_24.permute(0, 2, 3, 1)
+        x_out_24 = None
+        x_150 = torch.nn.functional.layer_norm(
+            x_149,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_149 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_151 = x_150.permute(0, 3, 1, 2)
+        x_150 = None
+        x_out_25 = torch.conv2d(
+            x_151,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_152 = x_out_26.permute(0, 2, 3, 1)
+        x_out_26 = None
+        x_153 = torch.nn.functional.layer_norm(
+            x_152,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_152 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = (None)
+        x_154 = x_153.permute(0, 3, 1, 2)
+        x_153 = None
+        gamma_16 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_61 = x_154 * gamma_16
+        x_154 = gamma_16 = None
+        x_155 = x_147 + mul_61
+        x_147 = mul_61 = None
+        x_156 = torch.conv2d(
+            x_155,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_157 = torch._C._nn.gelu(x_156, approximate="none")
+        x_156 = None
+        x_158 = torch.nn.functional.dropout(x_157, 0.0, False, False)
+        x_157 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_160 = torch.nn.functional.dropout(x_159, 0.0, False, False)
+        x_159 = None
+        x_161 = x_160.permute(0, 2, 3, 1)
+        x_160 = None
+        x_162 = torch.nn.functional.layer_norm(
+            x_161,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_161 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = (None)
+        x_163 = x_162.permute(0, 3, 1, 2)
+        x_162 = None
+        gamma_17 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_62 = x_163 * gamma_17
+        x_163 = gamma_17 = None
+        x_164 = x_155 + mul_62
+        x_155 = mul_62 = None
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_165, [1408, 1408, 4], 1)
+        x_165 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_55 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_56 = torch._C._nn.gelu(input_55, approximate="none")
+        input_55 = None
+        getitem_66 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_63 = input_56 * getitem_66
+        getitem_66 = None
+        ctx_all_36 = 0 + mul_63
+        mul_63 = None
+        input_57 = torch.conv2d(
+            input_56,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_56 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_58 = torch._C._nn.gelu(input_57, approximate="none")
+        input_57 = None
+        getitem_67 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_64 = input_58 * getitem_67
+        getitem_67 = None
+        ctx_all_37 = ctx_all_36 + mul_64
+        ctx_all_36 = mul_64 = None
+        input_59 = torch.conv2d(
+            input_58,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_58 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_60 = torch._C._nn.gelu(input_59, approximate="none")
+        input_59 = None
+        getitem_68 = gates_9[(slice(None, None, None), slice(2, 3, None))]
+        mul_65 = input_60 * getitem_68
+        getitem_68 = None
+        ctx_all_38 = ctx_all_37 + mul_65
+        ctx_all_37 = mul_65 = None
+        mean_9 = input_60.mean((2, 3), keepdim=True)
+        input_60 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_69 = gates_9[(slice(None, None, None), slice(3, None, None))]
+        gates_9 = None
+        mul_66 = ctx_global_9 * getitem_69
+        ctx_global_9 = getitem_69 = None
+        ctx_all_39 = ctx_all_38 + mul_66
+        ctx_all_38 = mul_66 = None
+        conv2d_79 = torch.conv2d(
+            ctx_all_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_39 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_79
+        q_9 = conv2d_79 = None
+        x_166 = x_out_27.permute(0, 2, 3, 1)
+        x_out_27 = None
+        x_167 = torch.nn.functional.layer_norm(
+            x_166,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_166 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_168 = x_167.permute(0, 3, 1, 2)
+        x_167 = None
+        x_out_28 = torch.conv2d(
+            x_168,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_168 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_169 = x_out_29.permute(0, 2, 3, 1)
+        x_out_29 = None
+        x_170 = torch.nn.functional.layer_norm(
+            x_169,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_169 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = (None)
+        x_171 = x_170.permute(0, 3, 1, 2)
+        x_170 = None
+        gamma_18 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_68 = x_171 * gamma_18
+        x_171 = gamma_18 = None
+        x_172 = x_164 + mul_68
+        x_164 = mul_68 = None
+        x_173 = torch.conv2d(
+            x_172,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_174 = torch._C._nn.gelu(x_173, approximate="none")
+        x_173 = None
+        x_175 = torch.nn.functional.dropout(x_174, 0.0, False, False)
+        x_174 = None
+        x_176 = torch.conv2d(
+            x_175,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_175 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_177 = torch.nn.functional.dropout(x_176, 0.0, False, False)
+        x_176 = None
+        x_178 = x_177.permute(0, 2, 3, 1)
+        x_177 = None
+        x_179 = torch.nn.functional.layer_norm(
+            x_178,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_178 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = (None)
+        x_180 = x_179.permute(0, 3, 1, 2)
+        x_179 = None
+        gamma_19 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_69 = x_180 * gamma_19
+        x_180 = gamma_19 = None
+        x_181 = x_172 + mul_69
+        x_172 = mul_69 = None
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_182, [1408, 1408, 4], 1)
+        x_182 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_61 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_10 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_62 = torch._C._nn.gelu(input_61, approximate="none")
+        input_61 = None
+        getitem_73 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_70 = input_62 * getitem_73
+        getitem_73 = None
+        ctx_all_40 = 0 + mul_70
+        mul_70 = None
+        input_63 = torch.conv2d(
+            input_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_62 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_64 = torch._C._nn.gelu(input_63, approximate="none")
+        input_63 = None
+        getitem_74 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_71 = input_64 * getitem_74
+        getitem_74 = None
+        ctx_all_41 = ctx_all_40 + mul_71
+        ctx_all_40 = mul_71 = None
+        input_65 = torch.conv2d(
+            input_64,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_64 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_66 = torch._C._nn.gelu(input_65, approximate="none")
+        input_65 = None
+        getitem_75 = gates_10[(slice(None, None, None), slice(2, 3, None))]
+        mul_72 = input_66 * getitem_75
+        getitem_75 = None
+        ctx_all_42 = ctx_all_41 + mul_72
+        ctx_all_41 = mul_72 = None
+        mean_10 = input_66.mean((2, 3), keepdim=True)
+        input_66 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_76 = gates_10[(slice(None, None, None), slice(3, None, None))]
+        gates_10 = None
+        mul_73 = ctx_global_10 * getitem_76
+        ctx_global_10 = getitem_76 = None
+        ctx_all_43 = ctx_all_42 + mul_73
+        ctx_all_42 = mul_73 = None
+        conv2d_87 = torch.conv2d(
+            ctx_all_43,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_43 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_87
+        q_10 = conv2d_87 = None
+        x_183 = x_out_30.permute(0, 2, 3, 1)
+        x_out_30 = None
+        x_184 = torch.nn.functional.layer_norm(
+            x_183,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_183 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_185 = x_184.permute(0, 3, 1, 2)
+        x_184 = None
+        x_out_31 = torch.conv2d(
+            x_185,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_185 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_186 = x_out_32.permute(0, 2, 3, 1)
+        x_out_32 = None
+        x_187 = torch.nn.functional.layer_norm(
+            x_186,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_186 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = (None)
+        x_188 = x_187.permute(0, 3, 1, 2)
+        x_187 = None
+        gamma_20 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_75 = x_188 * gamma_20
+        x_188 = gamma_20 = None
+        x_189 = x_181 + mul_75
+        x_181 = mul_75 = None
+        x_190 = torch.conv2d(
+            x_189,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_191 = torch._C._nn.gelu(x_190, approximate="none")
+        x_190 = None
+        x_192 = torch.nn.functional.dropout(x_191, 0.0, False, False)
+        x_191 = None
+        x_193 = torch.conv2d(
+            x_192,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_192 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_194 = torch.nn.functional.dropout(x_193, 0.0, False, False)
+        x_193 = None
+        x_195 = x_194.permute(0, 2, 3, 1)
+        x_194 = None
+        x_196 = torch.nn.functional.layer_norm(
+            x_195,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_195 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = (None)
+        x_197 = x_196.permute(0, 3, 1, 2)
+        x_196 = None
+        gamma_21 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_76 = x_197 * gamma_21
+        x_197 = gamma_21 = None
+        x_198 = x_189 + mul_76
+        x_189 = mul_76 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_199, [1408, 1408, 4], 1)
+        x_199 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_67 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_11 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_68 = torch._C._nn.gelu(input_67, approximate="none")
+        input_67 = None
+        getitem_80 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_77 = input_68 * getitem_80
+        getitem_80 = None
+        ctx_all_44 = 0 + mul_77
+        mul_77 = None
+        input_69 = torch.conv2d(
+            input_68,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_68 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_70 = torch._C._nn.gelu(input_69, approximate="none")
+        input_69 = None
+        getitem_81 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_78 = input_70 * getitem_81
+        getitem_81 = None
+        ctx_all_45 = ctx_all_44 + mul_78
+        ctx_all_44 = mul_78 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_70 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_72 = torch._C._nn.gelu(input_71, approximate="none")
+        input_71 = None
+        getitem_82 = gates_11[(slice(None, None, None), slice(2, 3, None))]
+        mul_79 = input_72 * getitem_82
+        getitem_82 = None
+        ctx_all_46 = ctx_all_45 + mul_79
+        ctx_all_45 = mul_79 = None
+        mean_11 = input_72.mean((2, 3), keepdim=True)
+        input_72 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_83 = gates_11[(slice(None, None, None), slice(3, None, None))]
+        gates_11 = None
+        mul_80 = ctx_global_11 * getitem_83
+        ctx_global_11 = getitem_83 = None
+        ctx_all_47 = ctx_all_46 + mul_80
+        ctx_all_46 = mul_80 = None
+        conv2d_95 = torch.conv2d(
+            ctx_all_47,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_47 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_95
+        q_11 = conv2d_95 = None
+        x_200 = x_out_33.permute(0, 2, 3, 1)
+        x_out_33 = None
+        x_201 = torch.nn.functional.layer_norm(
+            x_200,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_200 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_202 = x_201.permute(0, 3, 1, 2)
+        x_201 = None
+        x_out_34 = torch.conv2d(
+            x_202,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_202 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_203 = x_out_35.permute(0, 2, 3, 1)
+        x_out_35 = None
+        x_204 = torch.nn.functional.layer_norm(
+            x_203,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_203 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = (None)
+        x_205 = x_204.permute(0, 3, 1, 2)
+        x_204 = None
+        gamma_22 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_82 = x_205 * gamma_22
+        x_205 = gamma_22 = None
+        x_206 = x_198 + mul_82
+        x_198 = mul_82 = None
+        x_207 = torch.conv2d(
+            x_206,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_208 = torch._C._nn.gelu(x_207, approximate="none")
+        x_207 = None
+        x_209 = torch.nn.functional.dropout(x_208, 0.0, False, False)
+        x_208 = None
+        x_210 = torch.conv2d(
+            x_209,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_209 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_211 = torch.nn.functional.dropout(x_210, 0.0, False, False)
+        x_210 = None
+        x_212 = x_211.permute(0, 2, 3, 1)
+        x_211 = None
+        x_213 = torch.nn.functional.layer_norm(
+            x_212,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_212 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = (None)
+        x_214 = x_213.permute(0, 3, 1, 2)
+        x_213 = None
+        gamma_23 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_83 = x_214 * gamma_23
+        x_214 = gamma_23 = None
+        x_215 = x_206 + mul_83
+        x_206 = mul_83 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_12 = torch.functional.split(x_216, [1408, 1408, 4], 1)
+        x_216 = None
+        q_12 = split_12[0]
+        ctx_12 = split_12[1]
+        gates_12 = split_12[2]
+        split_12 = None
+        input_73 = torch.conv2d(
+            ctx_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_12 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_74 = torch._C._nn.gelu(input_73, approximate="none")
+        input_73 = None
+        getitem_87 = gates_12[(slice(None, None, None), slice(0, 1, None))]
+        mul_84 = input_74 * getitem_87
+        getitem_87 = None
+        ctx_all_48 = 0 + mul_84
+        mul_84 = None
+        input_75 = torch.conv2d(
+            input_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_74 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_76 = torch._C._nn.gelu(input_75, approximate="none")
+        input_75 = None
+        getitem_88 = gates_12[(slice(None, None, None), slice(1, 2, None))]
+        mul_85 = input_76 * getitem_88
+        getitem_88 = None
+        ctx_all_49 = ctx_all_48 + mul_85
+        ctx_all_48 = mul_85 = None
+        input_77 = torch.conv2d(
+            input_76,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_76 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_78 = torch._C._nn.gelu(input_77, approximate="none")
+        input_77 = None
+        getitem_89 = gates_12[(slice(None, None, None), slice(2, 3, None))]
+        mul_86 = input_78 * getitem_89
+        getitem_89 = None
+        ctx_all_50 = ctx_all_49 + mul_86
+        ctx_all_49 = mul_86 = None
+        mean_12 = input_78.mean((2, 3), keepdim=True)
+        input_78 = None
+        ctx_global_12 = torch._C._nn.gelu(mean_12, approximate="none")
+        mean_12 = None
+        getitem_90 = gates_12[(slice(None, None, None), slice(3, None, None))]
+        gates_12 = None
+        mul_87 = ctx_global_12 * getitem_90
+        ctx_global_12 = getitem_90 = None
+        ctx_all_51 = ctx_all_50 + mul_87
+        ctx_all_50 = mul_87 = None
+        conv2d_103 = torch.conv2d(
+            ctx_all_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_51 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_36 = q_12 * conv2d_103
+        q_12 = conv2d_103 = None
+        x_217 = x_out_36.permute(0, 2, 3, 1)
+        x_out_36 = None
+        x_218 = torch.nn.functional.layer_norm(
+            x_217,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_217 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_219 = x_218.permute(0, 3, 1, 2)
+        x_218 = None
+        x_out_37 = torch.conv2d(
+            x_219,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_219 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_38 = torch.nn.functional.dropout(x_out_37, 0.0, False, False)
+        x_out_37 = None
+        x_220 = x_out_38.permute(0, 2, 3, 1)
+        x_out_38 = None
+        x_221 = torch.nn.functional.layer_norm(
+            x_220,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_220 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = (None)
+        x_222 = x_221.permute(0, 3, 1, 2)
+        x_221 = None
+        gamma_24 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_89 = x_222 * gamma_24
+        x_222 = gamma_24 = None
+        x_223 = x_215 + mul_89
+        x_215 = mul_89 = None
+        x_224 = torch.conv2d(
+            x_223,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_225 = torch._C._nn.gelu(x_224, approximate="none")
+        x_224 = None
+        x_226 = torch.nn.functional.dropout(x_225, 0.0, False, False)
+        x_225 = None
+        x_227 = torch.conv2d(
+            x_226,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_226 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_228 = torch.nn.functional.dropout(x_227, 0.0, False, False)
+        x_227 = None
+        x_229 = x_228.permute(0, 2, 3, 1)
+        x_228 = None
+        x_230 = torch.nn.functional.layer_norm(
+            x_229,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_229 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = (None)
+        x_231 = x_230.permute(0, 3, 1, 2)
+        x_230 = None
+        gamma_25 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_90 = x_231 * gamma_25
+        x_231 = gamma_25 = None
+        x_232 = x_223 + mul_90
+        x_223 = mul_90 = None
+        x_233 = torch.conv2d(
+            x_232,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_13 = torch.functional.split(x_233, [1408, 1408, 4], 1)
+        x_233 = None
+        q_13 = split_13[0]
+        ctx_13 = split_13[1]
+        gates_13 = split_13[2]
+        split_13 = None
+        input_79 = torch.conv2d(
+            ctx_13,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_13 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_80 = torch._C._nn.gelu(input_79, approximate="none")
+        input_79 = None
+        getitem_94 = gates_13[(slice(None, None, None), slice(0, 1, None))]
+        mul_91 = input_80 * getitem_94
+        getitem_94 = None
+        ctx_all_52 = 0 + mul_91
+        mul_91 = None
+        input_81 = torch.conv2d(
+            input_80,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_80 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_82 = torch._C._nn.gelu(input_81, approximate="none")
+        input_81 = None
+        getitem_95 = gates_13[(slice(None, None, None), slice(1, 2, None))]
+        mul_92 = input_82 * getitem_95
+        getitem_95 = None
+        ctx_all_53 = ctx_all_52 + mul_92
+        ctx_all_52 = mul_92 = None
+        input_83 = torch.conv2d(
+            input_82,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_82 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_84 = torch._C._nn.gelu(input_83, approximate="none")
+        input_83 = None
+        getitem_96 = gates_13[(slice(None, None, None), slice(2, 3, None))]
+        mul_93 = input_84 * getitem_96
+        getitem_96 = None
+        ctx_all_54 = ctx_all_53 + mul_93
+        ctx_all_53 = mul_93 = None
+        mean_13 = input_84.mean((2, 3), keepdim=True)
+        input_84 = None
+        ctx_global_13 = torch._C._nn.gelu(mean_13, approximate="none")
+        mean_13 = None
+        getitem_97 = gates_13[(slice(None, None, None), slice(3, None, None))]
+        gates_13 = None
+        mul_94 = ctx_global_13 * getitem_97
+        ctx_global_13 = getitem_97 = None
+        ctx_all_55 = ctx_all_54 + mul_94
+        ctx_all_54 = mul_94 = None
+        conv2d_111 = torch.conv2d(
+            ctx_all_55,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_55 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_39 = q_13 * conv2d_111
+        q_13 = conv2d_111 = None
+        x_234 = x_out_39.permute(0, 2, 3, 1)
+        x_out_39 = None
+        x_235 = torch.nn.functional.layer_norm(
+            x_234,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_234 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_236 = x_235.permute(0, 3, 1, 2)
+        x_235 = None
+        x_out_40 = torch.conv2d(
+            x_236,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_236 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_41 = torch.nn.functional.dropout(x_out_40, 0.0, False, False)
+        x_out_40 = None
+        x_237 = x_out_41.permute(0, 2, 3, 1)
+        x_out_41 = None
+        x_238 = torch.nn.functional.layer_norm(
+            x_237,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_237 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = (None)
+        x_239 = x_238.permute(0, 3, 1, 2)
+        x_238 = None
+        gamma_26 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_96 = x_239 * gamma_26
+        x_239 = gamma_26 = None
+        x_240 = x_232 + mul_96
+        x_232 = mul_96 = None
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_242 = torch._C._nn.gelu(x_241, approximate="none")
+        x_241 = None
+        x_243 = torch.nn.functional.dropout(x_242, 0.0, False, False)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_243 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_245 = torch.nn.functional.dropout(x_244, 0.0, False, False)
+        x_244 = None
+        x_246 = x_245.permute(0, 2, 3, 1)
+        x_245 = None
+        x_247 = torch.nn.functional.layer_norm(
+            x_246,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_246 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = (None)
+        x_248 = x_247.permute(0, 3, 1, 2)
+        x_247 = None
+        gamma_27 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_97 = x_248 * gamma_27
+        x_248 = gamma_27 = None
+        x_249 = x_240 + mul_97
+        x_240 = mul_97 = None
+        x_250 = torch.conv2d(
+            x_249,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_14 = torch.functional.split(x_250, [1408, 1408, 4], 1)
+        x_250 = None
+        q_14 = split_14[0]
+        ctx_14 = split_14[1]
+        gates_14 = split_14[2]
+        split_14 = None
+        input_85 = torch.conv2d(
+            ctx_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_14 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_86 = torch._C._nn.gelu(input_85, approximate="none")
+        input_85 = None
+        getitem_101 = gates_14[(slice(None, None, None), slice(0, 1, None))]
+        mul_98 = input_86 * getitem_101
+        getitem_101 = None
+        ctx_all_56 = 0 + mul_98
+        mul_98 = None
+        input_87 = torch.conv2d(
+            input_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_86 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_88 = torch._C._nn.gelu(input_87, approximate="none")
+        input_87 = None
+        getitem_102 = gates_14[(slice(None, None, None), slice(1, 2, None))]
+        mul_99 = input_88 * getitem_102
+        getitem_102 = None
+        ctx_all_57 = ctx_all_56 + mul_99
+        ctx_all_56 = mul_99 = None
+        input_89 = torch.conv2d(
+            input_88,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_88 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_90 = torch._C._nn.gelu(input_89, approximate="none")
+        input_89 = None
+        getitem_103 = gates_14[(slice(None, None, None), slice(2, 3, None))]
+        mul_100 = input_90 * getitem_103
+        getitem_103 = None
+        ctx_all_58 = ctx_all_57 + mul_100
+        ctx_all_57 = mul_100 = None
+        mean_14 = input_90.mean((2, 3), keepdim=True)
+        input_90 = None
+        ctx_global_14 = torch._C._nn.gelu(mean_14, approximate="none")
+        mean_14 = None
+        getitem_104 = gates_14[(slice(None, None, None), slice(3, None, None))]
+        gates_14 = None
+        mul_101 = ctx_global_14 * getitem_104
+        ctx_global_14 = getitem_104 = None
+        ctx_all_59 = ctx_all_58 + mul_101
+        ctx_all_58 = mul_101 = None
+        conv2d_119 = torch.conv2d(
+            ctx_all_59,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_59 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_42 = q_14 * conv2d_119
+        q_14 = conv2d_119 = None
+        x_251 = x_out_42.permute(0, 2, 3, 1)
+        x_out_42 = None
+        x_252 = torch.nn.functional.layer_norm(
+            x_251,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_251 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_253 = x_252.permute(0, 3, 1, 2)
+        x_252 = None
+        x_out_43 = torch.conv2d(
+            x_253,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_253 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_44 = torch.nn.functional.dropout(x_out_43, 0.0, False, False)
+        x_out_43 = None
+        x_254 = x_out_44.permute(0, 2, 3, 1)
+        x_out_44 = None
+        x_255 = torch.nn.functional.layer_norm(
+            x_254,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_254 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = (None)
+        x_256 = x_255.permute(0, 3, 1, 2)
+        x_255 = None
+        gamma_28 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_103 = x_256 * gamma_28
+        x_256 = gamma_28 = None
+        x_257 = x_249 + mul_103
+        x_249 = mul_103 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_259 = torch._C._nn.gelu(x_258, approximate="none")
+        x_258 = None
+        x_260 = torch.nn.functional.dropout(x_259, 0.0, False, False)
+        x_259 = None
+        x_261 = torch.conv2d(
+            x_260,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_260 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_262 = torch.nn.functional.dropout(x_261, 0.0, False, False)
+        x_261 = None
+        x_263 = x_262.permute(0, 2, 3, 1)
+        x_262 = None
+        x_264 = torch.nn.functional.layer_norm(
+            x_263,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_263 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = (None)
+        x_265 = x_264.permute(0, 3, 1, 2)
+        x_264 = None
+        gamma_29 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_104 = x_265 * gamma_29
+        x_265 = gamma_29 = None
+        x_266 = x_257 + mul_104
+        x_257 = mul_104 = None
+        x_267 = torch.conv2d(
+            x_266,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_15 = torch.functional.split(x_267, [1408, 1408, 4], 1)
+        x_267 = None
+        q_15 = split_15[0]
+        ctx_15 = split_15[1]
+        gates_15 = split_15[2]
+        split_15 = None
+        input_91 = torch.conv2d(
+            ctx_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_15 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_92 = torch._C._nn.gelu(input_91, approximate="none")
+        input_91 = None
+        getitem_108 = gates_15[(slice(None, None, None), slice(0, 1, None))]
+        mul_105 = input_92 * getitem_108
+        getitem_108 = None
+        ctx_all_60 = 0 + mul_105
+        mul_105 = None
+        input_93 = torch.conv2d(
+            input_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_92 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_94 = torch._C._nn.gelu(input_93, approximate="none")
+        input_93 = None
+        getitem_109 = gates_15[(slice(None, None, None), slice(1, 2, None))]
+        mul_106 = input_94 * getitem_109
+        getitem_109 = None
+        ctx_all_61 = ctx_all_60 + mul_106
+        ctx_all_60 = mul_106 = None
+        input_95 = torch.conv2d(
+            input_94,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_94 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_96 = torch._C._nn.gelu(input_95, approximate="none")
+        input_95 = None
+        getitem_110 = gates_15[(slice(None, None, None), slice(2, 3, None))]
+        mul_107 = input_96 * getitem_110
+        getitem_110 = None
+        ctx_all_62 = ctx_all_61 + mul_107
+        ctx_all_61 = mul_107 = None
+        mean_15 = input_96.mean((2, 3), keepdim=True)
+        input_96 = None
+        ctx_global_15 = torch._C._nn.gelu(mean_15, approximate="none")
+        mean_15 = None
+        getitem_111 = gates_15[(slice(None, None, None), slice(3, None, None))]
+        gates_15 = None
+        mul_108 = ctx_global_15 * getitem_111
+        ctx_global_15 = getitem_111 = None
+        ctx_all_63 = ctx_all_62 + mul_108
+        ctx_all_62 = mul_108 = None
+        conv2d_127 = torch.conv2d(
+            ctx_all_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_63 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_45 = q_15 * conv2d_127
+        q_15 = conv2d_127 = None
+        x_268 = x_out_45.permute(0, 2, 3, 1)
+        x_out_45 = None
+        x_269 = torch.nn.functional.layer_norm(
+            x_268,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_268 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_270 = x_269.permute(0, 3, 1, 2)
+        x_269 = None
+        x_out_46 = torch.conv2d(
+            x_270,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_270 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_47 = torch.nn.functional.dropout(x_out_46, 0.0, False, False)
+        x_out_46 = None
+        x_271 = x_out_47.permute(0, 2, 3, 1)
+        x_out_47 = None
+        x_272 = torch.nn.functional.layer_norm(
+            x_271,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_271 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = (None)
+        x_273 = x_272.permute(0, 3, 1, 2)
+        x_272 = None
+        gamma_30 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_110 = x_273 * gamma_30
+        x_273 = gamma_30 = None
+        x_274 = x_266 + mul_110
+        x_266 = mul_110 = None
+        x_275 = torch.conv2d(
+            x_274,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_276 = torch._C._nn.gelu(x_275, approximate="none")
+        x_275 = None
+        x_277 = torch.nn.functional.dropout(x_276, 0.0, False, False)
+        x_276 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_277 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_279 = torch.nn.functional.dropout(x_278, 0.0, False, False)
+        x_278 = None
+        x_280 = x_279.permute(0, 2, 3, 1)
+        x_279 = None
+        x_281 = torch.nn.functional.layer_norm(
+            x_280,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_280 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = (None)
+        x_282 = x_281.permute(0, 3, 1, 2)
+        x_281 = None
+        gamma_31 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_111 = x_282 * gamma_31
+        x_282 = gamma_31 = None
+        x_283 = x_274 + mul_111
+        x_274 = mul_111 = None
+        x_284 = torch.conv2d(
+            x_283,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_16 = torch.functional.split(x_284, [1408, 1408, 4], 1)
+        x_284 = None
+        q_16 = split_16[0]
+        ctx_16 = split_16[1]
+        gates_16 = split_16[2]
+        split_16 = None
+        input_97 = torch.conv2d(
+            ctx_16,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_16 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_98 = torch._C._nn.gelu(input_97, approximate="none")
+        input_97 = None
+        getitem_115 = gates_16[(slice(None, None, None), slice(0, 1, None))]
+        mul_112 = input_98 * getitem_115
+        getitem_115 = None
+        ctx_all_64 = 0 + mul_112
+        mul_112 = None
+        input_99 = torch.conv2d(
+            input_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_98 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_100 = torch._C._nn.gelu(input_99, approximate="none")
+        input_99 = None
+        getitem_116 = gates_16[(slice(None, None, None), slice(1, 2, None))]
+        mul_113 = input_100 * getitem_116
+        getitem_116 = None
+        ctx_all_65 = ctx_all_64 + mul_113
+        ctx_all_64 = mul_113 = None
+        input_101 = torch.conv2d(
+            input_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_100 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_102 = torch._C._nn.gelu(input_101, approximate="none")
+        input_101 = None
+        getitem_117 = gates_16[(slice(None, None, None), slice(2, 3, None))]
+        mul_114 = input_102 * getitem_117
+        getitem_117 = None
+        ctx_all_66 = ctx_all_65 + mul_114
+        ctx_all_65 = mul_114 = None
+        mean_16 = input_102.mean((2, 3), keepdim=True)
+        input_102 = None
+        ctx_global_16 = torch._C._nn.gelu(mean_16, approximate="none")
+        mean_16 = None
+        getitem_118 = gates_16[(slice(None, None, None), slice(3, None, None))]
+        gates_16 = None
+        mul_115 = ctx_global_16 * getitem_118
+        ctx_global_16 = getitem_118 = None
+        ctx_all_67 = ctx_all_66 + mul_115
+        ctx_all_66 = mul_115 = None
+        conv2d_135 = torch.conv2d(
+            ctx_all_67,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_67 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_48 = q_16 * conv2d_135
+        q_16 = conv2d_135 = None
+        x_285 = x_out_48.permute(0, 2, 3, 1)
+        x_out_48 = None
+        x_286 = torch.nn.functional.layer_norm(
+            x_285,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_285 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_287 = x_286.permute(0, 3, 1, 2)
+        x_286 = None
+        x_out_49 = torch.conv2d(
+            x_287,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_287 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_50 = torch.nn.functional.dropout(x_out_49, 0.0, False, False)
+        x_out_49 = None
+        x_288 = x_out_50.permute(0, 2, 3, 1)
+        x_out_50 = None
+        x_289 = torch.nn.functional.layer_norm(
+            x_288,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_288 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = (None)
+        x_290 = x_289.permute(0, 3, 1, 2)
+        x_289 = None
+        gamma_32 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_117 = x_290 * gamma_32
+        x_290 = gamma_32 = None
+        x_291 = x_283 + mul_117
+        x_283 = mul_117 = None
+        x_292 = torch.conv2d(
+            x_291,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_293 = torch._C._nn.gelu(x_292, approximate="none")
+        x_292 = None
+        x_294 = torch.nn.functional.dropout(x_293, 0.0, False, False)
+        x_293 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_296 = torch.nn.functional.dropout(x_295, 0.0, False, False)
+        x_295 = None
+        x_297 = x_296.permute(0, 2, 3, 1)
+        x_296 = None
+        x_298 = torch.nn.functional.layer_norm(
+            x_297,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_297 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = (None)
+        x_299 = x_298.permute(0, 3, 1, 2)
+        x_298 = None
+        gamma_33 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_118 = x_299 * gamma_33
+        x_299 = gamma_33 = None
+        x_300 = x_291 + mul_118
+        x_291 = mul_118 = None
+        x_301 = torch.conv2d(
+            x_300,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_17 = torch.functional.split(x_301, [1408, 1408, 4], 1)
+        x_301 = None
+        q_17 = split_17[0]
+        ctx_17 = split_17[1]
+        gates_17 = split_17[2]
+        split_17 = None
+        input_103 = torch.conv2d(
+            ctx_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_17 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_104 = torch._C._nn.gelu(input_103, approximate="none")
+        input_103 = None
+        getitem_122 = gates_17[(slice(None, None, None), slice(0, 1, None))]
+        mul_119 = input_104 * getitem_122
+        getitem_122 = None
+        ctx_all_68 = 0 + mul_119
+        mul_119 = None
+        input_105 = torch.conv2d(
+            input_104,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_104 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_106 = torch._C._nn.gelu(input_105, approximate="none")
+        input_105 = None
+        getitem_123 = gates_17[(slice(None, None, None), slice(1, 2, None))]
+        mul_120 = input_106 * getitem_123
+        getitem_123 = None
+        ctx_all_69 = ctx_all_68 + mul_120
+        ctx_all_68 = mul_120 = None
+        input_107 = torch.conv2d(
+            input_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_106 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_108 = torch._C._nn.gelu(input_107, approximate="none")
+        input_107 = None
+        getitem_124 = gates_17[(slice(None, None, None), slice(2, 3, None))]
+        mul_121 = input_108 * getitem_124
+        getitem_124 = None
+        ctx_all_70 = ctx_all_69 + mul_121
+        ctx_all_69 = mul_121 = None
+        mean_17 = input_108.mean((2, 3), keepdim=True)
+        input_108 = None
+        ctx_global_17 = torch._C._nn.gelu(mean_17, approximate="none")
+        mean_17 = None
+        getitem_125 = gates_17[(slice(None, None, None), slice(3, None, None))]
+        gates_17 = None
+        mul_122 = ctx_global_17 * getitem_125
+        ctx_global_17 = getitem_125 = None
+        ctx_all_71 = ctx_all_70 + mul_122
+        ctx_all_70 = mul_122 = None
+        conv2d_143 = torch.conv2d(
+            ctx_all_71,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_71 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_51 = q_17 * conv2d_143
+        q_17 = conv2d_143 = None
+        x_302 = x_out_51.permute(0, 2, 3, 1)
+        x_out_51 = None
+        x_303 = torch.nn.functional.layer_norm(
+            x_302,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_302 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_304 = x_303.permute(0, 3, 1, 2)
+        x_303 = None
+        x_out_52 = torch.conv2d(
+            x_304,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_304 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_53 = torch.nn.functional.dropout(x_out_52, 0.0, False, False)
+        x_out_52 = None
+        x_305 = x_out_53.permute(0, 2, 3, 1)
+        x_out_53 = None
+        x_306 = torch.nn.functional.layer_norm(
+            x_305,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_305 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = (None)
+        x_307 = x_306.permute(0, 3, 1, 2)
+        x_306 = None
+        gamma_34 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_124 = x_307 * gamma_34
+        x_307 = gamma_34 = None
+        x_308 = x_300 + mul_124
+        x_300 = mul_124 = None
+        x_309 = torch.conv2d(
+            x_308,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_310 = torch._C._nn.gelu(x_309, approximate="none")
+        x_309 = None
+        x_311 = torch.nn.functional.dropout(x_310, 0.0, False, False)
+        x_310 = None
+        x_312 = torch.conv2d(
+            x_311,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_311 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_313 = torch.nn.functional.dropout(x_312, 0.0, False, False)
+        x_312 = None
+        x_314 = x_313.permute(0, 2, 3, 1)
+        x_313 = None
+        x_315 = torch.nn.functional.layer_norm(
+            x_314,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_314 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = (None)
+        x_316 = x_315.permute(0, 3, 1, 2)
+        x_315 = None
+        gamma_35 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_125 = x_316 * gamma_35
+        x_316 = gamma_35 = None
+        x_317 = x_308 + mul_125
+        x_308 = mul_125 = None
+        x_318 = torch.conv2d(
+            x_317,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_18 = torch.functional.split(x_318, [1408, 1408, 4], 1)
+        x_318 = None
+        q_18 = split_18[0]
+        ctx_18 = split_18[1]
+        gates_18 = split_18[2]
+        split_18 = None
+        input_109 = torch.conv2d(
+            ctx_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_18 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_110 = torch._C._nn.gelu(input_109, approximate="none")
+        input_109 = None
+        getitem_129 = gates_18[(slice(None, None, None), slice(0, 1, None))]
+        mul_126 = input_110 * getitem_129
+        getitem_129 = None
+        ctx_all_72 = 0 + mul_126
+        mul_126 = None
+        input_111 = torch.conv2d(
+            input_110,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_110 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_112 = torch._C._nn.gelu(input_111, approximate="none")
+        input_111 = None
+        getitem_130 = gates_18[(slice(None, None, None), slice(1, 2, None))]
+        mul_127 = input_112 * getitem_130
+        getitem_130 = None
+        ctx_all_73 = ctx_all_72 + mul_127
+        ctx_all_72 = mul_127 = None
+        input_113 = torch.conv2d(
+            input_112,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_112 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_114 = torch._C._nn.gelu(input_113, approximate="none")
+        input_113 = None
+        getitem_131 = gates_18[(slice(None, None, None), slice(2, 3, None))]
+        mul_128 = input_114 * getitem_131
+        getitem_131 = None
+        ctx_all_74 = ctx_all_73 + mul_128
+        ctx_all_73 = mul_128 = None
+        mean_18 = input_114.mean((2, 3), keepdim=True)
+        input_114 = None
+        ctx_global_18 = torch._C._nn.gelu(mean_18, approximate="none")
+        mean_18 = None
+        getitem_132 = gates_18[(slice(None, None, None), slice(3, None, None))]
+        gates_18 = None
+        mul_129 = ctx_global_18 * getitem_132
+        ctx_global_18 = getitem_132 = None
+        ctx_all_75 = ctx_all_74 + mul_129
+        ctx_all_74 = mul_129 = None
+        conv2d_151 = torch.conv2d(
+            ctx_all_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_75 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_54 = q_18 * conv2d_151
+        q_18 = conv2d_151 = None
+        x_319 = x_out_54.permute(0, 2, 3, 1)
+        x_out_54 = None
+        x_320 = torch.nn.functional.layer_norm(
+            x_319,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_319 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_321 = x_320.permute(0, 3, 1, 2)
+        x_320 = None
+        x_out_55 = torch.conv2d(
+            x_321,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_321 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_56 = torch.nn.functional.dropout(x_out_55, 0.0, False, False)
+        x_out_55 = None
+        x_322 = x_out_56.permute(0, 2, 3, 1)
+        x_out_56 = None
+        x_323 = torch.nn.functional.layer_norm(
+            x_322,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_322 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = (None)
+        x_324 = x_323.permute(0, 3, 1, 2)
+        x_323 = None
+        gamma_36 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_131 = x_324 * gamma_36
+        x_324 = gamma_36 = None
+        x_325 = x_317 + mul_131
+        x_317 = mul_131 = None
+        x_326 = torch.conv2d(
+            x_325,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_327 = torch._C._nn.gelu(x_326, approximate="none")
+        x_326 = None
+        x_328 = torch.nn.functional.dropout(x_327, 0.0, False, False)
+        x_327 = None
+        x_329 = torch.conv2d(
+            x_328,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_328 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_330 = torch.nn.functional.dropout(x_329, 0.0, False, False)
+        x_329 = None
+        x_331 = x_330.permute(0, 2, 3, 1)
+        x_330 = None
+        x_332 = torch.nn.functional.layer_norm(
+            x_331,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_331 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = (None)
+        x_333 = x_332.permute(0, 3, 1, 2)
+        x_332 = None
+        gamma_37 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_132 = x_333 * gamma_37
+        x_333 = gamma_37 = None
+        x_334 = x_325 + mul_132
+        x_325 = mul_132 = None
+        x_335 = torch.conv2d(
+            x_334,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_19 = torch.functional.split(x_335, [1408, 1408, 4], 1)
+        x_335 = None
+        q_19 = split_19[0]
+        ctx_19 = split_19[1]
+        gates_19 = split_19[2]
+        split_19 = None
+        input_115 = torch.conv2d(
+            ctx_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_19 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_116 = torch._C._nn.gelu(input_115, approximate="none")
+        input_115 = None
+        getitem_136 = gates_19[(slice(None, None, None), slice(0, 1, None))]
+        mul_133 = input_116 * getitem_136
+        getitem_136 = None
+        ctx_all_76 = 0 + mul_133
+        mul_133 = None
+        input_117 = torch.conv2d(
+            input_116,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_116 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_118 = torch._C._nn.gelu(input_117, approximate="none")
+        input_117 = None
+        getitem_137 = gates_19[(slice(None, None, None), slice(1, 2, None))]
+        mul_134 = input_118 * getitem_137
+        getitem_137 = None
+        ctx_all_77 = ctx_all_76 + mul_134
+        ctx_all_76 = mul_134 = None
+        input_119 = torch.conv2d(
+            input_118,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_118 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_120 = torch._C._nn.gelu(input_119, approximate="none")
+        input_119 = None
+        getitem_138 = gates_19[(slice(None, None, None), slice(2, 3, None))]
+        mul_135 = input_120 * getitem_138
+        getitem_138 = None
+        ctx_all_78 = ctx_all_77 + mul_135
+        ctx_all_77 = mul_135 = None
+        mean_19 = input_120.mean((2, 3), keepdim=True)
+        input_120 = None
+        ctx_global_19 = torch._C._nn.gelu(mean_19, approximate="none")
+        mean_19 = None
+        getitem_139 = gates_19[(slice(None, None, None), slice(3, None, None))]
+        gates_19 = None
+        mul_136 = ctx_global_19 * getitem_139
+        ctx_global_19 = getitem_139 = None
+        ctx_all_79 = ctx_all_78 + mul_136
+        ctx_all_78 = mul_136 = None
+        conv2d_159 = torch.conv2d(
+            ctx_all_79,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_79 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_57 = q_19 * conv2d_159
+        q_19 = conv2d_159 = None
+        x_336 = x_out_57.permute(0, 2, 3, 1)
+        x_out_57 = None
+        x_337 = torch.nn.functional.layer_norm(
+            x_336,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_336 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_338 = x_337.permute(0, 3, 1, 2)
+        x_337 = None
+        x_out_58 = torch.conv2d(
+            x_338,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_338 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_59 = torch.nn.functional.dropout(x_out_58, 0.0, False, False)
+        x_out_58 = None
+        x_339 = x_out_59.permute(0, 2, 3, 1)
+        x_out_59 = None
+        x_340 = torch.nn.functional.layer_norm(
+            x_339,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_339 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = (None)
+        x_341 = x_340.permute(0, 3, 1, 2)
+        x_340 = None
+        gamma_38 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_138 = x_341 * gamma_38
+        x_341 = gamma_38 = None
+        x_342 = x_334 + mul_138
+        x_334 = mul_138 = None
+        x_343 = torch.conv2d(
+            x_342,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_344 = torch._C._nn.gelu(x_343, approximate="none")
+        x_343 = None
+        x_345 = torch.nn.functional.dropout(x_344, 0.0, False, False)
+        x_344 = None
+        x_346 = torch.conv2d(
+            x_345,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_345 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_347 = torch.nn.functional.dropout(x_346, 0.0, False, False)
+        x_346 = None
+        x_348 = x_347.permute(0, 2, 3, 1)
+        x_347 = None
+        x_349 = torch.nn.functional.layer_norm(
+            x_348,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_348 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = (None)
+        x_350 = x_349.permute(0, 3, 1, 2)
+        x_349 = None
+        gamma_39 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_139 = x_350 * gamma_39
+        x_350 = gamma_39 = None
+        x_351 = x_342 + mul_139
+        x_342 = mul_139 = None
+        x_352 = torch.conv2d(
+            x_351,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_20 = torch.functional.split(x_352, [1408, 1408, 4], 1)
+        x_352 = None
+        q_20 = split_20[0]
+        ctx_20 = split_20[1]
+        gates_20 = split_20[2]
+        split_20 = None
+        input_121 = torch.conv2d(
+            ctx_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_20 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_122 = torch._C._nn.gelu(input_121, approximate="none")
+        input_121 = None
+        getitem_143 = gates_20[(slice(None, None, None), slice(0, 1, None))]
+        mul_140 = input_122 * getitem_143
+        getitem_143 = None
+        ctx_all_80 = 0 + mul_140
+        mul_140 = None
+        input_123 = torch.conv2d(
+            input_122,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_122 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_124 = torch._C._nn.gelu(input_123, approximate="none")
+        input_123 = None
+        getitem_144 = gates_20[(slice(None, None, None), slice(1, 2, None))]
+        mul_141 = input_124 * getitem_144
+        getitem_144 = None
+        ctx_all_81 = ctx_all_80 + mul_141
+        ctx_all_80 = mul_141 = None
+        input_125 = torch.conv2d(
+            input_124,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_124 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_126 = torch._C._nn.gelu(input_125, approximate="none")
+        input_125 = None
+        getitem_145 = gates_20[(slice(None, None, None), slice(2, 3, None))]
+        mul_142 = input_126 * getitem_145
+        getitem_145 = None
+        ctx_all_82 = ctx_all_81 + mul_142
+        ctx_all_81 = mul_142 = None
+        mean_20 = input_126.mean((2, 3), keepdim=True)
+        input_126 = None
+        ctx_global_20 = torch._C._nn.gelu(mean_20, approximate="none")
+        mean_20 = None
+        getitem_146 = gates_20[(slice(None, None, None), slice(3, None, None))]
+        gates_20 = None
+        mul_143 = ctx_global_20 * getitem_146
+        ctx_global_20 = getitem_146 = None
+        ctx_all_83 = ctx_all_82 + mul_143
+        ctx_all_82 = mul_143 = None
+        conv2d_167 = torch.conv2d(
+            ctx_all_83,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_83 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_60 = q_20 * conv2d_167
+        q_20 = conv2d_167 = None
+        x_353 = x_out_60.permute(0, 2, 3, 1)
+        x_out_60 = None
+        x_354 = torch.nn.functional.layer_norm(
+            x_353,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_353 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_355 = x_354.permute(0, 3, 1, 2)
+        x_354 = None
+        x_out_61 = torch.conv2d(
+            x_355,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_355 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_62 = torch.nn.functional.dropout(x_out_61, 0.0, False, False)
+        x_out_61 = None
+        x_356 = x_out_62.permute(0, 2, 3, 1)
+        x_out_62 = None
+        x_357 = torch.nn.functional.layer_norm(
+            x_356,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_356 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = (None)
+        x_358 = x_357.permute(0, 3, 1, 2)
+        x_357 = None
+        gamma_40 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_145 = x_358 * gamma_40
+        x_358 = gamma_40 = None
+        x_359 = x_351 + mul_145
+        x_351 = mul_145 = None
+        x_360 = torch.conv2d(
+            x_359,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_361 = torch._C._nn.gelu(x_360, approximate="none")
+        x_360 = None
+        x_362 = torch.nn.functional.dropout(x_361, 0.0, False, False)
+        x_361 = None
+        x_363 = torch.conv2d(
+            x_362,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_362 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_364 = torch.nn.functional.dropout(x_363, 0.0, False, False)
+        x_363 = None
+        x_365 = x_364.permute(0, 2, 3, 1)
+        x_364 = None
+        x_366 = torch.nn.functional.layer_norm(
+            x_365,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_365 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = (None)
+        x_367 = x_366.permute(0, 3, 1, 2)
+        x_366 = None
+        gamma_41 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_146 = x_367 * gamma_41
+        x_367 = gamma_41 = None
+        x_368 = x_359 + mul_146
+        x_359 = mul_146 = None
+        x_369 = torch.conv2d(
+            x_368,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_21 = torch.functional.split(x_369, [1408, 1408, 4], 1)
+        x_369 = None
+        q_21 = split_21[0]
+        ctx_21 = split_21[1]
+        gates_21 = split_21[2]
+        split_21 = None
+        input_127 = torch.conv2d(
+            ctx_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_21 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_128 = torch._C._nn.gelu(input_127, approximate="none")
+        input_127 = None
+        getitem_150 = gates_21[(slice(None, None, None), slice(0, 1, None))]
+        mul_147 = input_128 * getitem_150
+        getitem_150 = None
+        ctx_all_84 = 0 + mul_147
+        mul_147 = None
+        input_129 = torch.conv2d(
+            input_128,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_128 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_130 = torch._C._nn.gelu(input_129, approximate="none")
+        input_129 = None
+        getitem_151 = gates_21[(slice(None, None, None), slice(1, 2, None))]
+        mul_148 = input_130 * getitem_151
+        getitem_151 = None
+        ctx_all_85 = ctx_all_84 + mul_148
+        ctx_all_84 = mul_148 = None
+        input_131 = torch.conv2d(
+            input_130,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_130 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_132 = torch._C._nn.gelu(input_131, approximate="none")
+        input_131 = None
+        getitem_152 = gates_21[(slice(None, None, None), slice(2, 3, None))]
+        mul_149 = input_132 * getitem_152
+        getitem_152 = None
+        ctx_all_86 = ctx_all_85 + mul_149
+        ctx_all_85 = mul_149 = None
+        mean_21 = input_132.mean((2, 3), keepdim=True)
+        input_132 = None
+        ctx_global_21 = torch._C._nn.gelu(mean_21, approximate="none")
+        mean_21 = None
+        getitem_153 = gates_21[(slice(None, None, None), slice(3, None, None))]
+        gates_21 = None
+        mul_150 = ctx_global_21 * getitem_153
+        ctx_global_21 = getitem_153 = None
+        ctx_all_87 = ctx_all_86 + mul_150
+        ctx_all_86 = mul_150 = None
+        conv2d_175 = torch.conv2d(
+            ctx_all_87,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_87 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_63 = q_21 * conv2d_175
+        q_21 = conv2d_175 = None
+        x_370 = x_out_63.permute(0, 2, 3, 1)
+        x_out_63 = None
+        x_371 = torch.nn.functional.layer_norm(
+            x_370,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_370 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_372 = x_371.permute(0, 3, 1, 2)
+        x_371 = None
+        x_out_64 = torch.conv2d(
+            x_372,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_372 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_65 = torch.nn.functional.dropout(x_out_64, 0.0, False, False)
+        x_out_64 = None
+        x_373 = x_out_65.permute(0, 2, 3, 1)
+        x_out_65 = None
+        x_374 = torch.nn.functional.layer_norm(
+            x_373,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_373 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = (None)
+        x_375 = x_374.permute(0, 3, 1, 2)
+        x_374 = None
+        gamma_42 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_152 = x_375 * gamma_42
+        x_375 = gamma_42 = None
+        x_376 = x_368 + mul_152
+        x_368 = mul_152 = None
+        x_377 = torch.conv2d(
+            x_376,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_378 = torch._C._nn.gelu(x_377, approximate="none")
+        x_377 = None
+        x_379 = torch.nn.functional.dropout(x_378, 0.0, False, False)
+        x_378 = None
+        x_380 = torch.conv2d(
+            x_379,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_379 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_381 = torch.nn.functional.dropout(x_380, 0.0, False, False)
+        x_380 = None
+        x_382 = x_381.permute(0, 2, 3, 1)
+        x_381 = None
+        x_383 = torch.nn.functional.layer_norm(
+            x_382,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_382 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = (None)
+        x_384 = x_383.permute(0, 3, 1, 2)
+        x_383 = None
+        gamma_43 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_153 = x_384 * gamma_43
+        x_384 = gamma_43 = None
+        x_385 = x_376 + mul_153
+        x_376 = mul_153 = None
+        x_386 = torch.conv2d(
+            x_385,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_385 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_387 = x_386.permute(0, 2, 3, 1)
+        x_386 = None
+        x_388 = torch.nn.functional.layer_norm(
+            x_387,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_387 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_389 = x_388.permute(0, 3, 1, 2)
+        x_388 = None
+        x_390 = torch.conv2d(
+            x_389,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_22 = torch.functional.split(x_390, [2816, 2816, 4], 1)
+        x_390 = None
+        q_22 = split_22[0]
+        ctx_22 = split_22[1]
+        gates_22 = split_22[2]
+        split_22 = None
+        input_133 = torch.conv2d(
+            ctx_22,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2816,
+        )
+        ctx_22 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_134 = torch._C._nn.gelu(input_133, approximate="none")
+        input_133 = None
+        getitem_157 = gates_22[(slice(None, None, None), slice(0, 1, None))]
+        mul_154 = input_134 * getitem_157
+        getitem_157 = None
+        ctx_all_88 = 0 + mul_154
+        mul_154 = None
+        input_135 = torch.conv2d(
+            input_134,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2816,
+        )
+        input_134 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_136 = torch._C._nn.gelu(input_135, approximate="none")
+        input_135 = None
+        getitem_158 = gates_22[(slice(None, None, None), slice(1, 2, None))]
+        mul_155 = input_136 * getitem_158
+        getitem_158 = None
+        ctx_all_89 = ctx_all_88 + mul_155
+        ctx_all_88 = mul_155 = None
+        input_137 = torch.conv2d(
+            input_136,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            2816,
+        )
+        input_136 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_138 = torch._C._nn.gelu(input_137, approximate="none")
+        input_137 = None
+        getitem_159 = gates_22[(slice(None, None, None), slice(2, 3, None))]
+        mul_156 = input_138 * getitem_159
+        getitem_159 = None
+        ctx_all_90 = ctx_all_89 + mul_156
+        ctx_all_89 = mul_156 = None
+        mean_22 = input_138.mean((2, 3), keepdim=True)
+        input_138 = None
+        ctx_global_22 = torch._C._nn.gelu(mean_22, approximate="none")
+        mean_22 = None
+        getitem_160 = gates_22[(slice(None, None, None), slice(3, None, None))]
+        gates_22 = None
+        mul_157 = ctx_global_22 * getitem_160
+        ctx_global_22 = getitem_160 = None
+        ctx_all_91 = ctx_all_90 + mul_157
+        ctx_all_90 = mul_157 = None
+        conv2d_184 = torch.conv2d(
+            ctx_all_91,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_91 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_66 = q_22 * conv2d_184
+        q_22 = conv2d_184 = None
+        x_391 = x_out_66.permute(0, 2, 3, 1)
+        x_out_66 = None
+        x_392 = torch.nn.functional.layer_norm(
+            x_391,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_391 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_393 = x_392.permute(0, 3, 1, 2)
+        x_392 = None
+        x_out_67 = torch.conv2d(
+            x_393,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_393 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_68 = torch.nn.functional.dropout(x_out_67, 0.0, False, False)
+        x_out_67 = None
+        x_394 = x_out_68.permute(0, 2, 3, 1)
+        x_out_68 = None
+        x_395 = torch.nn.functional.layer_norm(
+            x_394,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_394 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_396 = x_395.permute(0, 3, 1, 2)
+        x_395 = None
+        gamma_44 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_159 = x_396 * gamma_44
+        x_396 = gamma_44 = None
+        x_397 = x_389 + mul_159
+        x_389 = mul_159 = None
+        x_398 = torch.conv2d(
+            x_397,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_399 = torch._C._nn.gelu(x_398, approximate="none")
+        x_398 = None
+        x_400 = torch.nn.functional.dropout(x_399, 0.0, False, False)
+        x_399 = None
+        x_401 = torch.conv2d(
+            x_400,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_400 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_402 = torch.nn.functional.dropout(x_401, 0.0, False, False)
+        x_401 = None
+        x_403 = x_402.permute(0, 2, 3, 1)
+        x_402 = None
+        x_404 = torch.nn.functional.layer_norm(
+            x_403,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_403 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_405 = x_404.permute(0, 3, 1, 2)
+        x_404 = None
+        gamma_45 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_160 = x_405 * gamma_45
+        x_405 = gamma_45 = None
+        x_406 = x_397 + mul_160
+        x_397 = mul_160 = None
+        x_407 = torch.conv2d(
+            x_406,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_23 = torch.functional.split(x_407, [2816, 2816, 4], 1)
+        x_407 = None
+        q_23 = split_23[0]
+        ctx_23 = split_23[1]
+        gates_23 = split_23[2]
+        split_23 = None
+        input_139 = torch.conv2d(
+            ctx_23,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2816,
+        )
+        ctx_23 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_140 = torch._C._nn.gelu(input_139, approximate="none")
+        input_139 = None
+        getitem_164 = gates_23[(slice(None, None, None), slice(0, 1, None))]
+        mul_161 = input_140 * getitem_164
+        getitem_164 = None
+        ctx_all_92 = 0 + mul_161
+        mul_161 = None
+        input_141 = torch.conv2d(
+            input_140,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2816,
+        )
+        input_140 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_142 = torch._C._nn.gelu(input_141, approximate="none")
+        input_141 = None
+        getitem_165 = gates_23[(slice(None, None, None), slice(1, 2, None))]
+        mul_162 = input_142 * getitem_165
+        getitem_165 = None
+        ctx_all_93 = ctx_all_92 + mul_162
+        ctx_all_92 = mul_162 = None
+        input_143 = torch.conv2d(
+            input_142,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            2816,
+        )
+        input_142 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_144 = torch._C._nn.gelu(input_143, approximate="none")
+        input_143 = None
+        getitem_166 = gates_23[(slice(None, None, None), slice(2, 3, None))]
+        mul_163 = input_144 * getitem_166
+        getitem_166 = None
+        ctx_all_94 = ctx_all_93 + mul_163
+        ctx_all_93 = mul_163 = None
+        mean_23 = input_144.mean((2, 3), keepdim=True)
+        input_144 = None
+        ctx_global_23 = torch._C._nn.gelu(mean_23, approximate="none")
+        mean_23 = None
+        getitem_167 = gates_23[(slice(None, None, None), slice(3, None, None))]
+        gates_23 = None
+        mul_164 = ctx_global_23 * getitem_167
+        ctx_global_23 = getitem_167 = None
+        ctx_all_95 = ctx_all_94 + mul_164
+        ctx_all_94 = mul_164 = None
+        conv2d_192 = torch.conv2d(
+            ctx_all_95,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_95 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_69 = q_23 * conv2d_192
+        q_23 = conv2d_192 = None
+        x_408 = x_out_69.permute(0, 2, 3, 1)
+        x_out_69 = None
+        x_409 = torch.nn.functional.layer_norm(
+            x_408,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_408 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_410 = x_409.permute(0, 3, 1, 2)
+        x_409 = None
+        x_out_70 = torch.conv2d(
+            x_410,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_410 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_71 = torch.nn.functional.dropout(x_out_70, 0.0, False, False)
+        x_out_70 = None
+        x_411 = x_out_71.permute(0, 2, 3, 1)
+        x_out_71 = None
+        x_412 = torch.nn.functional.layer_norm(
+            x_411,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_411 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_413 = x_412.permute(0, 3, 1, 2)
+        x_412 = None
+        gamma_46 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_166 = x_413 * gamma_46
+        x_413 = gamma_46 = None
+        x_414 = x_406 + mul_166
+        x_406 = mul_166 = None
+        x_415 = torch.conv2d(
+            x_414,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_416 = torch._C._nn.gelu(x_415, approximate="none")
+        x_415 = None
+        x_417 = torch.nn.functional.dropout(x_416, 0.0, False, False)
+        x_416 = None
+        x_418 = torch.conv2d(
+            x_417,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_417 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_419 = torch.nn.functional.dropout(x_418, 0.0, False, False)
+        x_418 = None
+        x_420 = x_419.permute(0, 2, 3, 1)
+        x_419 = None
+        x_421 = torch.nn.functional.layer_norm(
+            x_420,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_420 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_422 = x_421.permute(0, 3, 1, 2)
+        x_421 = None
+        gamma_47 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_167 = x_422 * gamma_47
+        x_422 = gamma_47 = None
+        x_423 = x_414 + mul_167
+        x_414 = mul_167 = None
+        x_424 = x_423.permute(0, 2, 3, 1)
+        x_423 = None
+        x_425 = torch.nn.functional.layer_norm(
+            x_424,
+            (2816,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_424 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_426 = x_425.permute(0, 3, 1, 2)
+        x_425 = None
+        x_427 = torch.nn.functional.adaptive_avg_pool2d(x_426, 1)
+        x_426 = None
+        x_428 = x_427.flatten(1, -1)
+        x_427 = None
+        x_429 = torch.nn.functional.dropout(x_428, 0.0, False, False)
+        x_428 = None
+        x_430 = torch._C._nn.linear(
+            x_429,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_429 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_430,)
diff --git a/samples/timm/focalnet_huge_fl3.ms_in22k/weight_meta.py b/samples/timm/focalnet_huge_fl3.ms_in22k/weight_meta.py
new file mode 100644
index 000000000..99e2d8c88
--- /dev/null
+++ b/samples/timm/focalnet_huge_fl3.ms_in22k/weight_meta.py
@@ -0,0 +1,5258 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [352, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.223
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [708, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [708]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [352, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [352, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [352, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [352, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [352, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1408, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [352, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [708, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [708]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [352, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [352, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [352, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [352, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [352, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1408, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [352, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [704, 352, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1412, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1412]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [704, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [704, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [704, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [704, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [704, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2816, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [704, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1412, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1412]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [704, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [704, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [704, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [704, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [704, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2816, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [704, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [1408, 704, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_"
+    shape = [2820, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_"
+    shape = [2820]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [2816, 1408, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [5636, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [5636]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [2816, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [2816, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [2816, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [2816, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [2816, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [11264, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [11264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [2816, 11264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [5636, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [5636]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [2816, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [2816, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [2816, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [2816, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [2816, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [11264, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [11264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [2816, 11264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [21842, 2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [21842]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_huge_fl4.ms_in22k/graph_hash.txt b/samples/timm/focalnet_huge_fl4.ms_in22k/graph_hash.txt
new file mode 100644
index 000000000..ce55bf9d0
--- /dev/null
+++ b/samples/timm/focalnet_huge_fl4.ms_in22k/graph_hash.txt
@@ -0,0 +1 @@
+a9c22f65ea50c1f8b2eb961d5dd855307bb0a5fea5538aca5b44457a843c95c0
\ No newline at end of file
diff --git a/samples/timm/focalnet_huge_fl4.ms_in22k/graph_net.json b/samples/timm/focalnet_huge_fl4.ms_in22k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_huge_fl4.ms_in22k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_huge_fl4.ms_in22k/input_meta.py b/samples/timm/focalnet_huge_fl4.ms_in22k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_huge_fl4.ms_in22k/input_tensor_constraints.py b/samples/timm/focalnet_huge_fl4.ms_in22k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_huge_fl4.ms_in22k/model.py b/samples/timm/focalnet_huge_fl4.ms_in22k/model.py
new file mode 100644
index 000000000..4321b4cdd
--- /dev/null
+++ b/samples/timm/focalnet_huge_fl4.ms_in22k/model.py
@@ -0,0 +1,6023 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (2, 2),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (352,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = torch.conv2d(
+            x_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_4, [352, 352, 5], 1)
+        x_4 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            352,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            352,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        input_5 = torch.conv2d(
+            input_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            352,
+        )
+        input_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, 3, None))]
+        mul_2 = input_6 * getitem_5
+        getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            352,
+        )
+        input_6 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_6 = gates[(slice(None, None, None), slice(3, 4, None))]
+        mul_3 = input_8 * getitem_6
+        getitem_6 = None
+        ctx_all_3 = ctx_all_2 + mul_3
+        ctx_all_2 = mul_3 = None
+        mean = input_8.mean((2, 3), keepdim=True)
+        input_8 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_7 = gates[(slice(None, None, None), slice(4, None, None))]
+        gates = None
+        mul_4 = ctx_global * getitem_7
+        ctx_global = getitem_7 = None
+        ctx_all_4 = ctx_all_3 + mul_4
+        ctx_all_3 = mul_4 = None
+        conv2d_6 = torch.conv2d(
+            ctx_all_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_6
+        q = conv2d_6 = None
+        x_5 = x_out.permute(0, 2, 3, 1)
+        x_out = None
+        x_6 = torch.nn.functional.layer_norm(
+            x_5,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_5 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_7 = x_6.permute(0, 3, 1, 2)
+        x_6 = None
+        x_out_1 = torch.conv2d(
+            x_7,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_8 = x_out_2.permute(0, 2, 3, 1)
+        x_out_2 = None
+        x_9 = torch.nn.functional.layer_norm(
+            x_8,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_8 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_10 = x_9.permute(0, 3, 1, 2)
+        x_9 = None
+        gamma = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_6 = x_10 * gamma
+        x_10 = gamma = None
+        x_11 = x_3 + mul_6
+        x_3 = mul_6 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_13 = torch._C._nn.gelu(x_12, approximate="none")
+        x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_16.permute(0, 2, 3, 1)
+        x_16 = None
+        x_18 = torch.nn.functional.layer_norm(
+            x_17,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_17 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_19 = x_18.permute(0, 3, 1, 2)
+        x_18 = None
+        gamma_1 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_7 = x_19 * gamma_1
+        x_19 = gamma_1 = None
+        x_20 = x_11 + mul_7
+        x_11 = mul_7 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_21, [352, 352, 5], 1)
+        x_21 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_9 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            352,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_8 = input_10 * getitem_11
+        getitem_11 = None
+        ctx_all_5 = 0 + mul_8
+        mul_8 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            352,
+        )
+        input_10 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_12 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_9 = input_12 * getitem_12
+        getitem_12 = None
+        ctx_all_6 = ctx_all_5 + mul_9
+        ctx_all_5 = mul_9 = None
+        input_13 = torch.conv2d(
+            input_12,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            352,
+        )
+        input_12 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_13 = gates_1[(slice(None, None, None), slice(2, 3, None))]
+        mul_10 = input_14 * getitem_13
+        getitem_13 = None
+        ctx_all_7 = ctx_all_6 + mul_10
+        ctx_all_6 = mul_10 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            352,
+        )
+        input_14 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_14 = gates_1[(slice(None, None, None), slice(3, 4, None))]
+        mul_11 = input_16 * getitem_14
+        getitem_14 = None
+        ctx_all_8 = ctx_all_7 + mul_11
+        ctx_all_7 = mul_11 = None
+        mean_1 = input_16.mean((2, 3), keepdim=True)
+        input_16 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_15 = gates_1[(slice(None, None, None), slice(4, None, None))]
+        gates_1 = None
+        mul_12 = ctx_global_1 * getitem_15
+        ctx_global_1 = getitem_15 = None
+        ctx_all_9 = ctx_all_8 + mul_12
+        ctx_all_8 = mul_12 = None
+        conv2d_15 = torch.conv2d(
+            ctx_all_9,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_9 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_15
+        q_1 = conv2d_15 = None
+        x_22 = x_out_3.permute(0, 2, 3, 1)
+        x_out_3 = None
+        x_23 = torch.nn.functional.layer_norm(
+            x_22,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_22 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_24 = x_23.permute(0, 3, 1, 2)
+        x_23 = None
+        x_out_4 = torch.conv2d(
+            x_24,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_25 = x_out_5.permute(0, 2, 3, 1)
+        x_out_5 = None
+        x_26 = torch.nn.functional.layer_norm(
+            x_25,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_27 = x_26.permute(0, 3, 1, 2)
+        x_26 = None
+        gamma_2 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_14 = x_27 * gamma_2
+        x_27 = gamma_2 = None
+        x_28 = x_20 + mul_14
+        x_20 = mul_14 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_30 = torch._C._nn.gelu(x_29, approximate="none")
+        x_29 = None
+        x_31 = torch.nn.functional.dropout(x_30, 0.0, False, False)
+        x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_33 = torch.nn.functional.dropout(x_32, 0.0, False, False)
+        x_32 = None
+        x_34 = x_33.permute(0, 2, 3, 1)
+        x_33 = None
+        x_35 = torch.nn.functional.layer_norm(
+            x_34,
+            (352,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_34 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_36 = x_35.permute(0, 3, 1, 2)
+        x_35 = None
+        gamma_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_15 = x_36 * gamma_3
+        x_36 = gamma_3 = None
+        x_37 = x_28 + mul_15
+        x_28 = mul_15 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_37 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_39 = x_38.permute(0, 2, 3, 1)
+        x_38 = None
+        x_40 = torch.nn.functional.layer_norm(
+            x_39,
+            (704,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_39 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_41 = x_40.permute(0, 3, 1, 2)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_42, [704, 704, 5], 1)
+        x_42 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_17 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            704,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_19 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_16 = input_18 * getitem_19
+        getitem_19 = None
+        ctx_all_10 = 0 + mul_16
+        mul_16 = None
+        input_19 = torch.conv2d(
+            input_18,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            704,
+        )
+        input_18 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_20 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_17 = input_20 * getitem_20
+        getitem_20 = None
+        ctx_all_11 = ctx_all_10 + mul_17
+        ctx_all_10 = mul_17 = None
+        input_21 = torch.conv2d(
+            input_20,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            704,
+        )
+        input_20 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_21 = gates_2[(slice(None, None, None), slice(2, 3, None))]
+        mul_18 = input_22 * getitem_21
+        getitem_21 = None
+        ctx_all_12 = ctx_all_11 + mul_18
+        ctx_all_11 = mul_18 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            704,
+        )
+        input_22 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_22 = gates_2[(slice(None, None, None), slice(3, 4, None))]
+        mul_19 = input_24 * getitem_22
+        getitem_22 = None
+        ctx_all_13 = ctx_all_12 + mul_19
+        ctx_all_12 = mul_19 = None
+        mean_2 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_23 = gates_2[(slice(None, None, None), slice(4, None, None))]
+        gates_2 = None
+        mul_20 = ctx_global_2 * getitem_23
+        ctx_global_2 = getitem_23 = None
+        ctx_all_14 = ctx_all_13 + mul_20
+        ctx_all_13 = mul_20 = None
+        conv2d_25 = torch.conv2d(
+            ctx_all_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_14 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_25
+        q_2 = conv2d_25 = None
+        x_43 = x_out_6.permute(0, 2, 3, 1)
+        x_out_6 = None
+        x_44 = torch.nn.functional.layer_norm(
+            x_43,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_45 = x_44.permute(0, 3, 1, 2)
+        x_44 = None
+        x_out_7 = torch.conv2d(
+            x_45,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_45 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_46 = x_out_8.permute(0, 2, 3, 1)
+        x_out_8 = None
+        x_47 = torch.nn.functional.layer_norm(
+            x_46,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_48 = x_47.permute(0, 3, 1, 2)
+        x_47 = None
+        gamma_4 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_22 = x_48 * gamma_4
+        x_48 = gamma_4 = None
+        x_49 = x_41 + mul_22
+        x_41 = mul_22 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_51 = torch._C._nn.gelu(x_50, approximate="none")
+        x_50 = None
+        x_52 = torch.nn.functional.dropout(x_51, 0.0, False, False)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_54 = torch.nn.functional.dropout(x_53, 0.0, False, False)
+        x_53 = None
+        x_55 = x_54.permute(0, 2, 3, 1)
+        x_54 = None
+        x_56 = torch.nn.functional.layer_norm(
+            x_55,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_55 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_57 = x_56.permute(0, 3, 1, 2)
+        x_56 = None
+        gamma_5 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_23 = x_57 * gamma_5
+        x_57 = gamma_5 = None
+        x_58 = x_49 + mul_23
+        x_49 = mul_23 = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_59, [704, 704, 5], 1)
+        x_59 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_25 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            704,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_27 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_24 = input_26 * getitem_27
+        getitem_27 = None
+        ctx_all_15 = 0 + mul_24
+        mul_24 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            704,
+        )
+        input_26 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_28 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_25 = input_28 * getitem_28
+        getitem_28 = None
+        ctx_all_16 = ctx_all_15 + mul_25
+        ctx_all_15 = mul_25 = None
+        input_29 = torch.conv2d(
+            input_28,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            704,
+        )
+        input_28 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_29 = gates_3[(slice(None, None, None), slice(2, 3, None))]
+        mul_26 = input_30 * getitem_29
+        getitem_29 = None
+        ctx_all_17 = ctx_all_16 + mul_26
+        ctx_all_16 = mul_26 = None
+        input_31 = torch.conv2d(
+            input_30,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            704,
+        )
+        input_30 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_30 = gates_3[(slice(None, None, None), slice(3, 4, None))]
+        mul_27 = input_32 * getitem_30
+        getitem_30 = None
+        ctx_all_18 = ctx_all_17 + mul_27
+        ctx_all_17 = mul_27 = None
+        mean_3 = input_32.mean((2, 3), keepdim=True)
+        input_32 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_31 = gates_3[(slice(None, None, None), slice(4, None, None))]
+        gates_3 = None
+        mul_28 = ctx_global_3 * getitem_31
+        ctx_global_3 = getitem_31 = None
+        ctx_all_19 = ctx_all_18 + mul_28
+        ctx_all_18 = mul_28 = None
+        conv2d_34 = torch.conv2d(
+            ctx_all_19,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_19 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_34
+        q_3 = conv2d_34 = None
+        x_60 = x_out_9.permute(0, 2, 3, 1)
+        x_out_9 = None
+        x_61 = torch.nn.functional.layer_norm(
+            x_60,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_62 = x_61.permute(0, 3, 1, 2)
+        x_61 = None
+        x_out_10 = torch.conv2d(
+            x_62,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_63 = x_out_11.permute(0, 2, 3, 1)
+        x_out_11 = None
+        x_64 = torch.nn.functional.layer_norm(
+            x_63,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_63 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 3, 1, 2)
+        x_64 = None
+        gamma_6 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_30 = x_65 * gamma_6
+        x_65 = gamma_6 = None
+        x_66 = x_58 + mul_30
+        x_58 = mul_30 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_68 = torch._C._nn.gelu(x_67, approximate="none")
+        x_67 = None
+        x_69 = torch.nn.functional.dropout(x_68, 0.0, False, False)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_69 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_71 = torch.nn.functional.dropout(x_70, 0.0, False, False)
+        x_70 = None
+        x_72 = x_71.permute(0, 2, 3, 1)
+        x_71 = None
+        x_73 = torch.nn.functional.layer_norm(
+            x_72,
+            (704,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_72 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_74 = x_73.permute(0, 3, 1, 2)
+        x_73 = None
+        gamma_7 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_31 = x_74 * gamma_7
+        x_74 = gamma_7 = None
+        x_75 = x_66 + mul_31
+        x_66 = mul_31 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_77 = x_76.permute(0, 2, 3, 1)
+        x_76 = None
+        x_78 = torch.nn.functional.layer_norm(
+            x_77,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_77 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_79 = x_78.permute(0, 3, 1, 2)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_80, [1408, 1408, 5], 1)
+        x_80 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_33 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_35 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_32 = input_34 * getitem_35
+        getitem_35 = None
+        ctx_all_20 = 0 + mul_32
+        mul_32 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_36 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_33 = input_36 * getitem_36
+        getitem_36 = None
+        ctx_all_21 = ctx_all_20 + mul_33
+        ctx_all_20 = mul_33 = None
+        input_37 = torch.conv2d(
+            input_36,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_36 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_37 = gates_4[(slice(None, None, None), slice(2, 3, None))]
+        mul_34 = input_38 * getitem_37
+        getitem_37 = None
+        ctx_all_22 = ctx_all_21 + mul_34
+        ctx_all_21 = mul_34 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_38 = gates_4[(slice(None, None, None), slice(3, 4, None))]
+        mul_35 = input_40 * getitem_38
+        getitem_38 = None
+        ctx_all_23 = ctx_all_22 + mul_35
+        ctx_all_22 = mul_35 = None
+        mean_4 = input_40.mean((2, 3), keepdim=True)
+        input_40 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_39 = gates_4[(slice(None, None, None), slice(4, None, None))]
+        gates_4 = None
+        mul_36 = ctx_global_4 * getitem_39
+        ctx_global_4 = getitem_39 = None
+        ctx_all_24 = ctx_all_23 + mul_36
+        ctx_all_23 = mul_36 = None
+        conv2d_44 = torch.conv2d(
+            ctx_all_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_24 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_44
+        q_4 = conv2d_44 = None
+        x_81 = x_out_12.permute(0, 2, 3, 1)
+        x_out_12 = None
+        x_82 = torch.nn.functional.layer_norm(
+            x_81,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_81 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_83 = x_82.permute(0, 3, 1, 2)
+        x_82 = None
+        x_out_13 = torch.conv2d(
+            x_83,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_83 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_84 = x_out_14.permute(0, 2, 3, 1)
+        x_out_14 = None
+        x_85 = torch.nn.functional.layer_norm(
+            x_84,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_84 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_86 = x_85.permute(0, 3, 1, 2)
+        x_85 = None
+        gamma_8 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_38 = x_86 * gamma_8
+        x_86 = gamma_8 = None
+        x_87 = x_79 + mul_38
+        x_79 = mul_38 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_89 = torch._C._nn.gelu(x_88, approximate="none")
+        x_88 = None
+        x_90 = torch.nn.functional.dropout(x_89, 0.0, False, False)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_90 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = x_92.permute(0, 2, 3, 1)
+        x_92 = None
+        x_94 = torch.nn.functional.layer_norm(
+            x_93,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_93 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_95 = x_94.permute(0, 3, 1, 2)
+        x_94 = None
+        gamma_9 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_39 = x_95 * gamma_9
+        x_95 = gamma_9 = None
+        x_96 = x_87 + mul_39
+        x_87 = mul_39 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_97, [1408, 1408, 5], 1)
+        x_97 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_41 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_43 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_40 = input_42 * getitem_43
+        getitem_43 = None
+        ctx_all_25 = 0 + mul_40
+        mul_40 = None
+        input_43 = torch.conv2d(
+            input_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_42 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_44 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_41 = input_44 * getitem_44
+        getitem_44 = None
+        ctx_all_26 = ctx_all_25 + mul_41
+        ctx_all_25 = mul_41 = None
+        input_45 = torch.conv2d(
+            input_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_44 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_45 = gates_5[(slice(None, None, None), slice(2, 3, None))]
+        mul_42 = input_46 * getitem_45
+        getitem_45 = None
+        ctx_all_27 = ctx_all_26 + mul_42
+        ctx_all_26 = mul_42 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_46 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_46 = gates_5[(slice(None, None, None), slice(3, 4, None))]
+        mul_43 = input_48 * getitem_46
+        getitem_46 = None
+        ctx_all_28 = ctx_all_27 + mul_43
+        ctx_all_27 = mul_43 = None
+        mean_5 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_47 = gates_5[(slice(None, None, None), slice(4, None, None))]
+        gates_5 = None
+        mul_44 = ctx_global_5 * getitem_47
+        ctx_global_5 = getitem_47 = None
+        ctx_all_29 = ctx_all_28 + mul_44
+        ctx_all_28 = mul_44 = None
+        conv2d_53 = torch.conv2d(
+            ctx_all_29,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_29 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_53
+        q_5 = conv2d_53 = None
+        x_98 = x_out_15.permute(0, 2, 3, 1)
+        x_out_15 = None
+        x_99 = torch.nn.functional.layer_norm(
+            x_98,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_98 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_100 = x_99.permute(0, 3, 1, 2)
+        x_99 = None
+        x_out_16 = torch.conv2d(
+            x_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_101 = x_out_17.permute(0, 2, 3, 1)
+        x_out_17 = None
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_101 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_103 = x_102.permute(0, 3, 1, 2)
+        x_102 = None
+        gamma_10 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_46 = x_103 * gamma_10
+        x_103 = gamma_10 = None
+        x_104 = x_96 + mul_46
+        x_96 = mul_46 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_106 = torch._C._nn.gelu(x_105, approximate="none")
+        x_105 = None
+        x_107 = torch.nn.functional.dropout(x_106, 0.0, False, False)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_109 = torch.nn.functional.dropout(x_108, 0.0, False, False)
+        x_108 = None
+        x_110 = x_109.permute(0, 2, 3, 1)
+        x_109 = None
+        x_111 = torch.nn.functional.layer_norm(
+            x_110,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_110 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_112 = x_111.permute(0, 3, 1, 2)
+        x_111 = None
+        gamma_11 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_47 = x_112 * gamma_11
+        x_112 = gamma_11 = None
+        x_113 = x_104 + mul_47
+        x_104 = mul_47 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_114, [1408, 1408, 5], 1)
+        x_114 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_49 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_50 = torch._C._nn.gelu(input_49, approximate="none")
+        input_49 = None
+        getitem_51 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_48 = input_50 * getitem_51
+        getitem_51 = None
+        ctx_all_30 = 0 + mul_48
+        mul_48 = None
+        input_51 = torch.conv2d(
+            input_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_50 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_52 = torch._C._nn.gelu(input_51, approximate="none")
+        input_51 = None
+        getitem_52 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_49 = input_52 * getitem_52
+        getitem_52 = None
+        ctx_all_31 = ctx_all_30 + mul_49
+        ctx_all_30 = mul_49 = None
+        input_53 = torch.conv2d(
+            input_52,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_52 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_54 = torch._C._nn.gelu(input_53, approximate="none")
+        input_53 = None
+        getitem_53 = gates_6[(slice(None, None, None), slice(2, 3, None))]
+        mul_50 = input_54 * getitem_53
+        getitem_53 = None
+        ctx_all_32 = ctx_all_31 + mul_50
+        ctx_all_31 = mul_50 = None
+        input_55 = torch.conv2d(
+            input_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_54 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_56 = torch._C._nn.gelu(input_55, approximate="none")
+        input_55 = None
+        getitem_54 = gates_6[(slice(None, None, None), slice(3, 4, None))]
+        mul_51 = input_56 * getitem_54
+        getitem_54 = None
+        ctx_all_33 = ctx_all_32 + mul_51
+        ctx_all_32 = mul_51 = None
+        mean_6 = input_56.mean((2, 3), keepdim=True)
+        input_56 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_55 = gates_6[(slice(None, None, None), slice(4, None, None))]
+        gates_6 = None
+        mul_52 = ctx_global_6 * getitem_55
+        ctx_global_6 = getitem_55 = None
+        ctx_all_34 = ctx_all_33 + mul_52
+        ctx_all_33 = mul_52 = None
+        conv2d_62 = torch.conv2d(
+            ctx_all_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_34 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_62
+        q_6 = conv2d_62 = None
+        x_115 = x_out_18.permute(0, 2, 3, 1)
+        x_out_18 = None
+        x_116 = torch.nn.functional.layer_norm(
+            x_115,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_115 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_117 = x_116.permute(0, 3, 1, 2)
+        x_116 = None
+        x_out_19 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_118 = x_out_20.permute(0, 2, 3, 1)
+        x_out_20 = None
+        x_119 = torch.nn.functional.layer_norm(
+            x_118,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_118 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = (None)
+        x_120 = x_119.permute(0, 3, 1, 2)
+        x_119 = None
+        gamma_12 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_54 = x_120 * gamma_12
+        x_120 = gamma_12 = None
+        x_121 = x_113 + mul_54
+        x_113 = mul_54 = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_123 = torch._C._nn.gelu(x_122, approximate="none")
+        x_122 = None
+        x_124 = torch.nn.functional.dropout(x_123, 0.0, False, False)
+        x_123 = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_126 = torch.nn.functional.dropout(x_125, 0.0, False, False)
+        x_125 = None
+        x_127 = x_126.permute(0, 2, 3, 1)
+        x_126 = None
+        x_128 = torch.nn.functional.layer_norm(
+            x_127,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_127 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = (None)
+        x_129 = x_128.permute(0, 3, 1, 2)
+        x_128 = None
+        gamma_13 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_55 = x_129 * gamma_13
+        x_129 = gamma_13 = None
+        x_130 = x_121 + mul_55
+        x_121 = mul_55 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_131, [1408, 1408, 5], 1)
+        x_131 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_57 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_58 = torch._C._nn.gelu(input_57, approximate="none")
+        input_57 = None
+        getitem_59 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_56 = input_58 * getitem_59
+        getitem_59 = None
+        ctx_all_35 = 0 + mul_56
+        mul_56 = None
+        input_59 = torch.conv2d(
+            input_58,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_58 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_60 = torch._C._nn.gelu(input_59, approximate="none")
+        input_59 = None
+        getitem_60 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_57 = input_60 * getitem_60
+        getitem_60 = None
+        ctx_all_36 = ctx_all_35 + mul_57
+        ctx_all_35 = mul_57 = None
+        input_61 = torch.conv2d(
+            input_60,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_60 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_62 = torch._C._nn.gelu(input_61, approximate="none")
+        input_61 = None
+        getitem_61 = gates_7[(slice(None, None, None), slice(2, 3, None))]
+        mul_58 = input_62 * getitem_61
+        getitem_61 = None
+        ctx_all_37 = ctx_all_36 + mul_58
+        ctx_all_36 = mul_58 = None
+        input_63 = torch.conv2d(
+            input_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_62 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_64 = torch._C._nn.gelu(input_63, approximate="none")
+        input_63 = None
+        getitem_62 = gates_7[(slice(None, None, None), slice(3, 4, None))]
+        mul_59 = input_64 * getitem_62
+        getitem_62 = None
+        ctx_all_38 = ctx_all_37 + mul_59
+        ctx_all_37 = mul_59 = None
+        mean_7 = input_64.mean((2, 3), keepdim=True)
+        input_64 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_63 = gates_7[(slice(None, None, None), slice(4, None, None))]
+        gates_7 = None
+        mul_60 = ctx_global_7 * getitem_63
+        ctx_global_7 = getitem_63 = None
+        ctx_all_39 = ctx_all_38 + mul_60
+        ctx_all_38 = mul_60 = None
+        conv2d_71 = torch.conv2d(
+            ctx_all_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_39 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_71
+        q_7 = conv2d_71 = None
+        x_132 = x_out_21.permute(0, 2, 3, 1)
+        x_out_21 = None
+        x_133 = torch.nn.functional.layer_norm(
+            x_132,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_132 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_134 = x_133.permute(0, 3, 1, 2)
+        x_133 = None
+        x_out_22 = torch.conv2d(
+            x_134,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_135 = x_out_23.permute(0, 2, 3, 1)
+        x_out_23 = None
+        x_136 = torch.nn.functional.layer_norm(
+            x_135,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_135 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = (None)
+        x_137 = x_136.permute(0, 3, 1, 2)
+        x_136 = None
+        gamma_14 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_62 = x_137 * gamma_14
+        x_137 = gamma_14 = None
+        x_138 = x_130 + mul_62
+        x_130 = mul_62 = None
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_140 = torch._C._nn.gelu(x_139, approximate="none")
+        x_139 = None
+        x_141 = torch.nn.functional.dropout(x_140, 0.0, False, False)
+        x_140 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_141 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_143 = torch.nn.functional.dropout(x_142, 0.0, False, False)
+        x_142 = None
+        x_144 = x_143.permute(0, 2, 3, 1)
+        x_143 = None
+        x_145 = torch.nn.functional.layer_norm(
+            x_144,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_144 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = (None)
+        x_146 = x_145.permute(0, 3, 1, 2)
+        x_145 = None
+        gamma_15 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_63 = x_146 * gamma_15
+        x_146 = gamma_15 = None
+        x_147 = x_138 + mul_63
+        x_138 = mul_63 = None
+        x_148 = torch.conv2d(
+            x_147,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_148, [1408, 1408, 5], 1)
+        x_148 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_65 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_66 = torch._C._nn.gelu(input_65, approximate="none")
+        input_65 = None
+        getitem_67 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_64 = input_66 * getitem_67
+        getitem_67 = None
+        ctx_all_40 = 0 + mul_64
+        mul_64 = None
+        input_67 = torch.conv2d(
+            input_66,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_66 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_68 = torch._C._nn.gelu(input_67, approximate="none")
+        input_67 = None
+        getitem_68 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_65 = input_68 * getitem_68
+        getitem_68 = None
+        ctx_all_41 = ctx_all_40 + mul_65
+        ctx_all_40 = mul_65 = None
+        input_69 = torch.conv2d(
+            input_68,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_68 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_70 = torch._C._nn.gelu(input_69, approximate="none")
+        input_69 = None
+        getitem_69 = gates_8[(slice(None, None, None), slice(2, 3, None))]
+        mul_66 = input_70 * getitem_69
+        getitem_69 = None
+        ctx_all_42 = ctx_all_41 + mul_66
+        ctx_all_41 = mul_66 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_70 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_72 = torch._C._nn.gelu(input_71, approximate="none")
+        input_71 = None
+        getitem_70 = gates_8[(slice(None, None, None), slice(3, 4, None))]
+        mul_67 = input_72 * getitem_70
+        getitem_70 = None
+        ctx_all_43 = ctx_all_42 + mul_67
+        ctx_all_42 = mul_67 = None
+        mean_8 = input_72.mean((2, 3), keepdim=True)
+        input_72 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_71 = gates_8[(slice(None, None, None), slice(4, None, None))]
+        gates_8 = None
+        mul_68 = ctx_global_8 * getitem_71
+        ctx_global_8 = getitem_71 = None
+        ctx_all_44 = ctx_all_43 + mul_68
+        ctx_all_43 = mul_68 = None
+        conv2d_80 = torch.conv2d(
+            ctx_all_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_44 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_80
+        q_8 = conv2d_80 = None
+        x_149 = x_out_24.permute(0, 2, 3, 1)
+        x_out_24 = None
+        x_150 = torch.nn.functional.layer_norm(
+            x_149,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_149 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_151 = x_150.permute(0, 3, 1, 2)
+        x_150 = None
+        x_out_25 = torch.conv2d(
+            x_151,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_152 = x_out_26.permute(0, 2, 3, 1)
+        x_out_26 = None
+        x_153 = torch.nn.functional.layer_norm(
+            x_152,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_152 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = (None)
+        x_154 = x_153.permute(0, 3, 1, 2)
+        x_153 = None
+        gamma_16 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_70 = x_154 * gamma_16
+        x_154 = gamma_16 = None
+        x_155 = x_147 + mul_70
+        x_147 = mul_70 = None
+        x_156 = torch.conv2d(
+            x_155,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_157 = torch._C._nn.gelu(x_156, approximate="none")
+        x_156 = None
+        x_158 = torch.nn.functional.dropout(x_157, 0.0, False, False)
+        x_157 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_160 = torch.nn.functional.dropout(x_159, 0.0, False, False)
+        x_159 = None
+        x_161 = x_160.permute(0, 2, 3, 1)
+        x_160 = None
+        x_162 = torch.nn.functional.layer_norm(
+            x_161,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_161 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = (None)
+        x_163 = x_162.permute(0, 3, 1, 2)
+        x_162 = None
+        gamma_17 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_71 = x_163 * gamma_17
+        x_163 = gamma_17 = None
+        x_164 = x_155 + mul_71
+        x_155 = mul_71 = None
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_165, [1408, 1408, 5], 1)
+        x_165 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_73 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_74 = torch._C._nn.gelu(input_73, approximate="none")
+        input_73 = None
+        getitem_75 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_72 = input_74 * getitem_75
+        getitem_75 = None
+        ctx_all_45 = 0 + mul_72
+        mul_72 = None
+        input_75 = torch.conv2d(
+            input_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_74 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_76 = torch._C._nn.gelu(input_75, approximate="none")
+        input_75 = None
+        getitem_76 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_73 = input_76 * getitem_76
+        getitem_76 = None
+        ctx_all_46 = ctx_all_45 + mul_73
+        ctx_all_45 = mul_73 = None
+        input_77 = torch.conv2d(
+            input_76,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_76 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_78 = torch._C._nn.gelu(input_77, approximate="none")
+        input_77 = None
+        getitem_77 = gates_9[(slice(None, None, None), slice(2, 3, None))]
+        mul_74 = input_78 * getitem_77
+        getitem_77 = None
+        ctx_all_47 = ctx_all_46 + mul_74
+        ctx_all_46 = mul_74 = None
+        input_79 = torch.conv2d(
+            input_78,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_78 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_80 = torch._C._nn.gelu(input_79, approximate="none")
+        input_79 = None
+        getitem_78 = gates_9[(slice(None, None, None), slice(3, 4, None))]
+        mul_75 = input_80 * getitem_78
+        getitem_78 = None
+        ctx_all_48 = ctx_all_47 + mul_75
+        ctx_all_47 = mul_75 = None
+        mean_9 = input_80.mean((2, 3), keepdim=True)
+        input_80 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_79 = gates_9[(slice(None, None, None), slice(4, None, None))]
+        gates_9 = None
+        mul_76 = ctx_global_9 * getitem_79
+        ctx_global_9 = getitem_79 = None
+        ctx_all_49 = ctx_all_48 + mul_76
+        ctx_all_48 = mul_76 = None
+        conv2d_89 = torch.conv2d(
+            ctx_all_49,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_49 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_89
+        q_9 = conv2d_89 = None
+        x_166 = x_out_27.permute(0, 2, 3, 1)
+        x_out_27 = None
+        x_167 = torch.nn.functional.layer_norm(
+            x_166,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_166 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_168 = x_167.permute(0, 3, 1, 2)
+        x_167 = None
+        x_out_28 = torch.conv2d(
+            x_168,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_168 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_169 = x_out_29.permute(0, 2, 3, 1)
+        x_out_29 = None
+        x_170 = torch.nn.functional.layer_norm(
+            x_169,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_169 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = (None)
+        x_171 = x_170.permute(0, 3, 1, 2)
+        x_170 = None
+        gamma_18 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_78 = x_171 * gamma_18
+        x_171 = gamma_18 = None
+        x_172 = x_164 + mul_78
+        x_164 = mul_78 = None
+        x_173 = torch.conv2d(
+            x_172,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_174 = torch._C._nn.gelu(x_173, approximate="none")
+        x_173 = None
+        x_175 = torch.nn.functional.dropout(x_174, 0.0, False, False)
+        x_174 = None
+        x_176 = torch.conv2d(
+            x_175,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_175 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_177 = torch.nn.functional.dropout(x_176, 0.0, False, False)
+        x_176 = None
+        x_178 = x_177.permute(0, 2, 3, 1)
+        x_177 = None
+        x_179 = torch.nn.functional.layer_norm(
+            x_178,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_178 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = (None)
+        x_180 = x_179.permute(0, 3, 1, 2)
+        x_179 = None
+        gamma_19 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_79 = x_180 * gamma_19
+        x_180 = gamma_19 = None
+        x_181 = x_172 + mul_79
+        x_172 = mul_79 = None
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_182, [1408, 1408, 5], 1)
+        x_182 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_81 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_10 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_82 = torch._C._nn.gelu(input_81, approximate="none")
+        input_81 = None
+        getitem_83 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_80 = input_82 * getitem_83
+        getitem_83 = None
+        ctx_all_50 = 0 + mul_80
+        mul_80 = None
+        input_83 = torch.conv2d(
+            input_82,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_82 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_84 = torch._C._nn.gelu(input_83, approximate="none")
+        input_83 = None
+        getitem_84 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_81 = input_84 * getitem_84
+        getitem_84 = None
+        ctx_all_51 = ctx_all_50 + mul_81
+        ctx_all_50 = mul_81 = None
+        input_85 = torch.conv2d(
+            input_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_84 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_86 = torch._C._nn.gelu(input_85, approximate="none")
+        input_85 = None
+        getitem_85 = gates_10[(slice(None, None, None), slice(2, 3, None))]
+        mul_82 = input_86 * getitem_85
+        getitem_85 = None
+        ctx_all_52 = ctx_all_51 + mul_82
+        ctx_all_51 = mul_82 = None
+        input_87 = torch.conv2d(
+            input_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_86 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_88 = torch._C._nn.gelu(input_87, approximate="none")
+        input_87 = None
+        getitem_86 = gates_10[(slice(None, None, None), slice(3, 4, None))]
+        mul_83 = input_88 * getitem_86
+        getitem_86 = None
+        ctx_all_53 = ctx_all_52 + mul_83
+        ctx_all_52 = mul_83 = None
+        mean_10 = input_88.mean((2, 3), keepdim=True)
+        input_88 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_87 = gates_10[(slice(None, None, None), slice(4, None, None))]
+        gates_10 = None
+        mul_84 = ctx_global_10 * getitem_87
+        ctx_global_10 = getitem_87 = None
+        ctx_all_54 = ctx_all_53 + mul_84
+        ctx_all_53 = mul_84 = None
+        conv2d_98 = torch.conv2d(
+            ctx_all_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_54 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_98
+        q_10 = conv2d_98 = None
+        x_183 = x_out_30.permute(0, 2, 3, 1)
+        x_out_30 = None
+        x_184 = torch.nn.functional.layer_norm(
+            x_183,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_183 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_185 = x_184.permute(0, 3, 1, 2)
+        x_184 = None
+        x_out_31 = torch.conv2d(
+            x_185,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_185 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_186 = x_out_32.permute(0, 2, 3, 1)
+        x_out_32 = None
+        x_187 = torch.nn.functional.layer_norm(
+            x_186,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_186 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = (None)
+        x_188 = x_187.permute(0, 3, 1, 2)
+        x_187 = None
+        gamma_20 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_86 = x_188 * gamma_20
+        x_188 = gamma_20 = None
+        x_189 = x_181 + mul_86
+        x_181 = mul_86 = None
+        x_190 = torch.conv2d(
+            x_189,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_191 = torch._C._nn.gelu(x_190, approximate="none")
+        x_190 = None
+        x_192 = torch.nn.functional.dropout(x_191, 0.0, False, False)
+        x_191 = None
+        x_193 = torch.conv2d(
+            x_192,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_192 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_194 = torch.nn.functional.dropout(x_193, 0.0, False, False)
+        x_193 = None
+        x_195 = x_194.permute(0, 2, 3, 1)
+        x_194 = None
+        x_196 = torch.nn.functional.layer_norm(
+            x_195,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_195 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = (None)
+        x_197 = x_196.permute(0, 3, 1, 2)
+        x_196 = None
+        gamma_21 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_87 = x_197 * gamma_21
+        x_197 = gamma_21 = None
+        x_198 = x_189 + mul_87
+        x_189 = mul_87 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_199, [1408, 1408, 5], 1)
+        x_199 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_89 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_11 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_90 = torch._C._nn.gelu(input_89, approximate="none")
+        input_89 = None
+        getitem_91 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_88 = input_90 * getitem_91
+        getitem_91 = None
+        ctx_all_55 = 0 + mul_88
+        mul_88 = None
+        input_91 = torch.conv2d(
+            input_90,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_90 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_92 = torch._C._nn.gelu(input_91, approximate="none")
+        input_91 = None
+        getitem_92 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_89 = input_92 * getitem_92
+        getitem_92 = None
+        ctx_all_56 = ctx_all_55 + mul_89
+        ctx_all_55 = mul_89 = None
+        input_93 = torch.conv2d(
+            input_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_92 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_94 = torch._C._nn.gelu(input_93, approximate="none")
+        input_93 = None
+        getitem_93 = gates_11[(slice(None, None, None), slice(2, 3, None))]
+        mul_90 = input_94 * getitem_93
+        getitem_93 = None
+        ctx_all_57 = ctx_all_56 + mul_90
+        ctx_all_56 = mul_90 = None
+        input_95 = torch.conv2d(
+            input_94,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_94 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_96 = torch._C._nn.gelu(input_95, approximate="none")
+        input_95 = None
+        getitem_94 = gates_11[(slice(None, None, None), slice(3, 4, None))]
+        mul_91 = input_96 * getitem_94
+        getitem_94 = None
+        ctx_all_58 = ctx_all_57 + mul_91
+        ctx_all_57 = mul_91 = None
+        mean_11 = input_96.mean((2, 3), keepdim=True)
+        input_96 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_95 = gates_11[(slice(None, None, None), slice(4, None, None))]
+        gates_11 = None
+        mul_92 = ctx_global_11 * getitem_95
+        ctx_global_11 = getitem_95 = None
+        ctx_all_59 = ctx_all_58 + mul_92
+        ctx_all_58 = mul_92 = None
+        conv2d_107 = torch.conv2d(
+            ctx_all_59,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_59 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_107
+        q_11 = conv2d_107 = None
+        x_200 = x_out_33.permute(0, 2, 3, 1)
+        x_out_33 = None
+        x_201 = torch.nn.functional.layer_norm(
+            x_200,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_200 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_202 = x_201.permute(0, 3, 1, 2)
+        x_201 = None
+        x_out_34 = torch.conv2d(
+            x_202,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_202 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_203 = x_out_35.permute(0, 2, 3, 1)
+        x_out_35 = None
+        x_204 = torch.nn.functional.layer_norm(
+            x_203,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_203 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = (None)
+        x_205 = x_204.permute(0, 3, 1, 2)
+        x_204 = None
+        gamma_22 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_94 = x_205 * gamma_22
+        x_205 = gamma_22 = None
+        x_206 = x_198 + mul_94
+        x_198 = mul_94 = None
+        x_207 = torch.conv2d(
+            x_206,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_208 = torch._C._nn.gelu(x_207, approximate="none")
+        x_207 = None
+        x_209 = torch.nn.functional.dropout(x_208, 0.0, False, False)
+        x_208 = None
+        x_210 = torch.conv2d(
+            x_209,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_209 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_211 = torch.nn.functional.dropout(x_210, 0.0, False, False)
+        x_210 = None
+        x_212 = x_211.permute(0, 2, 3, 1)
+        x_211 = None
+        x_213 = torch.nn.functional.layer_norm(
+            x_212,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_212 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = (None)
+        x_214 = x_213.permute(0, 3, 1, 2)
+        x_213 = None
+        gamma_23 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_95 = x_214 * gamma_23
+        x_214 = gamma_23 = None
+        x_215 = x_206 + mul_95
+        x_206 = mul_95 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_12 = torch.functional.split(x_216, [1408, 1408, 5], 1)
+        x_216 = None
+        q_12 = split_12[0]
+        ctx_12 = split_12[1]
+        gates_12 = split_12[2]
+        split_12 = None
+        input_97 = torch.conv2d(
+            ctx_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_12 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_98 = torch._C._nn.gelu(input_97, approximate="none")
+        input_97 = None
+        getitem_99 = gates_12[(slice(None, None, None), slice(0, 1, None))]
+        mul_96 = input_98 * getitem_99
+        getitem_99 = None
+        ctx_all_60 = 0 + mul_96
+        mul_96 = None
+        input_99 = torch.conv2d(
+            input_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_98 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_100 = torch._C._nn.gelu(input_99, approximate="none")
+        input_99 = None
+        getitem_100 = gates_12[(slice(None, None, None), slice(1, 2, None))]
+        mul_97 = input_100 * getitem_100
+        getitem_100 = None
+        ctx_all_61 = ctx_all_60 + mul_97
+        ctx_all_60 = mul_97 = None
+        input_101 = torch.conv2d(
+            input_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_100 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_102 = torch._C._nn.gelu(input_101, approximate="none")
+        input_101 = None
+        getitem_101 = gates_12[(slice(None, None, None), slice(2, 3, None))]
+        mul_98 = input_102 * getitem_101
+        getitem_101 = None
+        ctx_all_62 = ctx_all_61 + mul_98
+        ctx_all_61 = mul_98 = None
+        input_103 = torch.conv2d(
+            input_102,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_102 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_104 = torch._C._nn.gelu(input_103, approximate="none")
+        input_103 = None
+        getitem_102 = gates_12[(slice(None, None, None), slice(3, 4, None))]
+        mul_99 = input_104 * getitem_102
+        getitem_102 = None
+        ctx_all_63 = ctx_all_62 + mul_99
+        ctx_all_62 = mul_99 = None
+        mean_12 = input_104.mean((2, 3), keepdim=True)
+        input_104 = None
+        ctx_global_12 = torch._C._nn.gelu(mean_12, approximate="none")
+        mean_12 = None
+        getitem_103 = gates_12[(slice(None, None, None), slice(4, None, None))]
+        gates_12 = None
+        mul_100 = ctx_global_12 * getitem_103
+        ctx_global_12 = getitem_103 = None
+        ctx_all_64 = ctx_all_63 + mul_100
+        ctx_all_63 = mul_100 = None
+        conv2d_116 = torch.conv2d(
+            ctx_all_64,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_64 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_36 = q_12 * conv2d_116
+        q_12 = conv2d_116 = None
+        x_217 = x_out_36.permute(0, 2, 3, 1)
+        x_out_36 = None
+        x_218 = torch.nn.functional.layer_norm(
+            x_217,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_217 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_219 = x_218.permute(0, 3, 1, 2)
+        x_218 = None
+        x_out_37 = torch.conv2d(
+            x_219,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_219 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_38 = torch.nn.functional.dropout(x_out_37, 0.0, False, False)
+        x_out_37 = None
+        x_220 = x_out_38.permute(0, 2, 3, 1)
+        x_out_38 = None
+        x_221 = torch.nn.functional.layer_norm(
+            x_220,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_220 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = (None)
+        x_222 = x_221.permute(0, 3, 1, 2)
+        x_221 = None
+        gamma_24 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_102 = x_222 * gamma_24
+        x_222 = gamma_24 = None
+        x_223 = x_215 + mul_102
+        x_215 = mul_102 = None
+        x_224 = torch.conv2d(
+            x_223,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_225 = torch._C._nn.gelu(x_224, approximate="none")
+        x_224 = None
+        x_226 = torch.nn.functional.dropout(x_225, 0.0, False, False)
+        x_225 = None
+        x_227 = torch.conv2d(
+            x_226,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_226 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_228 = torch.nn.functional.dropout(x_227, 0.0, False, False)
+        x_227 = None
+        x_229 = x_228.permute(0, 2, 3, 1)
+        x_228 = None
+        x_230 = torch.nn.functional.layer_norm(
+            x_229,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_229 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = (None)
+        x_231 = x_230.permute(0, 3, 1, 2)
+        x_230 = None
+        gamma_25 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_103 = x_231 * gamma_25
+        x_231 = gamma_25 = None
+        x_232 = x_223 + mul_103
+        x_223 = mul_103 = None
+        x_233 = torch.conv2d(
+            x_232,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_13 = torch.functional.split(x_233, [1408, 1408, 5], 1)
+        x_233 = None
+        q_13 = split_13[0]
+        ctx_13 = split_13[1]
+        gates_13 = split_13[2]
+        split_13 = None
+        input_105 = torch.conv2d(
+            ctx_13,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_13 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_106 = torch._C._nn.gelu(input_105, approximate="none")
+        input_105 = None
+        getitem_107 = gates_13[(slice(None, None, None), slice(0, 1, None))]
+        mul_104 = input_106 * getitem_107
+        getitem_107 = None
+        ctx_all_65 = 0 + mul_104
+        mul_104 = None
+        input_107 = torch.conv2d(
+            input_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_106 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_108 = torch._C._nn.gelu(input_107, approximate="none")
+        input_107 = None
+        getitem_108 = gates_13[(slice(None, None, None), slice(1, 2, None))]
+        mul_105 = input_108 * getitem_108
+        getitem_108 = None
+        ctx_all_66 = ctx_all_65 + mul_105
+        ctx_all_65 = mul_105 = None
+        input_109 = torch.conv2d(
+            input_108,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_108 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_110 = torch._C._nn.gelu(input_109, approximate="none")
+        input_109 = None
+        getitem_109 = gates_13[(slice(None, None, None), slice(2, 3, None))]
+        mul_106 = input_110 * getitem_109
+        getitem_109 = None
+        ctx_all_67 = ctx_all_66 + mul_106
+        ctx_all_66 = mul_106 = None
+        input_111 = torch.conv2d(
+            input_110,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_110 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_112 = torch._C._nn.gelu(input_111, approximate="none")
+        input_111 = None
+        getitem_110 = gates_13[(slice(None, None, None), slice(3, 4, None))]
+        mul_107 = input_112 * getitem_110
+        getitem_110 = None
+        ctx_all_68 = ctx_all_67 + mul_107
+        ctx_all_67 = mul_107 = None
+        mean_13 = input_112.mean((2, 3), keepdim=True)
+        input_112 = None
+        ctx_global_13 = torch._C._nn.gelu(mean_13, approximate="none")
+        mean_13 = None
+        getitem_111 = gates_13[(slice(None, None, None), slice(4, None, None))]
+        gates_13 = None
+        mul_108 = ctx_global_13 * getitem_111
+        ctx_global_13 = getitem_111 = None
+        ctx_all_69 = ctx_all_68 + mul_108
+        ctx_all_68 = mul_108 = None
+        conv2d_125 = torch.conv2d(
+            ctx_all_69,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_69 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_39 = q_13 * conv2d_125
+        q_13 = conv2d_125 = None
+        x_234 = x_out_39.permute(0, 2, 3, 1)
+        x_out_39 = None
+        x_235 = torch.nn.functional.layer_norm(
+            x_234,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_234 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_236 = x_235.permute(0, 3, 1, 2)
+        x_235 = None
+        x_out_40 = torch.conv2d(
+            x_236,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_236 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_41 = torch.nn.functional.dropout(x_out_40, 0.0, False, False)
+        x_out_40 = None
+        x_237 = x_out_41.permute(0, 2, 3, 1)
+        x_out_41 = None
+        x_238 = torch.nn.functional.layer_norm(
+            x_237,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_237 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = (None)
+        x_239 = x_238.permute(0, 3, 1, 2)
+        x_238 = None
+        gamma_26 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_110 = x_239 * gamma_26
+        x_239 = gamma_26 = None
+        x_240 = x_232 + mul_110
+        x_232 = mul_110 = None
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_242 = torch._C._nn.gelu(x_241, approximate="none")
+        x_241 = None
+        x_243 = torch.nn.functional.dropout(x_242, 0.0, False, False)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_243 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_245 = torch.nn.functional.dropout(x_244, 0.0, False, False)
+        x_244 = None
+        x_246 = x_245.permute(0, 2, 3, 1)
+        x_245 = None
+        x_247 = torch.nn.functional.layer_norm(
+            x_246,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_246 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = (None)
+        x_248 = x_247.permute(0, 3, 1, 2)
+        x_247 = None
+        gamma_27 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_111 = x_248 * gamma_27
+        x_248 = gamma_27 = None
+        x_249 = x_240 + mul_111
+        x_240 = mul_111 = None
+        x_250 = torch.conv2d(
+            x_249,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_14 = torch.functional.split(x_250, [1408, 1408, 5], 1)
+        x_250 = None
+        q_14 = split_14[0]
+        ctx_14 = split_14[1]
+        gates_14 = split_14[2]
+        split_14 = None
+        input_113 = torch.conv2d(
+            ctx_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_14 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_114 = torch._C._nn.gelu(input_113, approximate="none")
+        input_113 = None
+        getitem_115 = gates_14[(slice(None, None, None), slice(0, 1, None))]
+        mul_112 = input_114 * getitem_115
+        getitem_115 = None
+        ctx_all_70 = 0 + mul_112
+        mul_112 = None
+        input_115 = torch.conv2d(
+            input_114,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_114 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_116 = torch._C._nn.gelu(input_115, approximate="none")
+        input_115 = None
+        getitem_116 = gates_14[(slice(None, None, None), slice(1, 2, None))]
+        mul_113 = input_116 * getitem_116
+        getitem_116 = None
+        ctx_all_71 = ctx_all_70 + mul_113
+        ctx_all_70 = mul_113 = None
+        input_117 = torch.conv2d(
+            input_116,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_116 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_118 = torch._C._nn.gelu(input_117, approximate="none")
+        input_117 = None
+        getitem_117 = gates_14[(slice(None, None, None), slice(2, 3, None))]
+        mul_114 = input_118 * getitem_117
+        getitem_117 = None
+        ctx_all_72 = ctx_all_71 + mul_114
+        ctx_all_71 = mul_114 = None
+        input_119 = torch.conv2d(
+            input_118,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_118 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_120 = torch._C._nn.gelu(input_119, approximate="none")
+        input_119 = None
+        getitem_118 = gates_14[(slice(None, None, None), slice(3, 4, None))]
+        mul_115 = input_120 * getitem_118
+        getitem_118 = None
+        ctx_all_73 = ctx_all_72 + mul_115
+        ctx_all_72 = mul_115 = None
+        mean_14 = input_120.mean((2, 3), keepdim=True)
+        input_120 = None
+        ctx_global_14 = torch._C._nn.gelu(mean_14, approximate="none")
+        mean_14 = None
+        getitem_119 = gates_14[(slice(None, None, None), slice(4, None, None))]
+        gates_14 = None
+        mul_116 = ctx_global_14 * getitem_119
+        ctx_global_14 = getitem_119 = None
+        ctx_all_74 = ctx_all_73 + mul_116
+        ctx_all_73 = mul_116 = None
+        conv2d_134 = torch.conv2d(
+            ctx_all_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_74 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_42 = q_14 * conv2d_134
+        q_14 = conv2d_134 = None
+        x_251 = x_out_42.permute(0, 2, 3, 1)
+        x_out_42 = None
+        x_252 = torch.nn.functional.layer_norm(
+            x_251,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_251 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_253 = x_252.permute(0, 3, 1, 2)
+        x_252 = None
+        x_out_43 = torch.conv2d(
+            x_253,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_253 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_44 = torch.nn.functional.dropout(x_out_43, 0.0, False, False)
+        x_out_43 = None
+        x_254 = x_out_44.permute(0, 2, 3, 1)
+        x_out_44 = None
+        x_255 = torch.nn.functional.layer_norm(
+            x_254,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_254 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = (None)
+        x_256 = x_255.permute(0, 3, 1, 2)
+        x_255 = None
+        gamma_28 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_118 = x_256 * gamma_28
+        x_256 = gamma_28 = None
+        x_257 = x_249 + mul_118
+        x_249 = mul_118 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_259 = torch._C._nn.gelu(x_258, approximate="none")
+        x_258 = None
+        x_260 = torch.nn.functional.dropout(x_259, 0.0, False, False)
+        x_259 = None
+        x_261 = torch.conv2d(
+            x_260,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_260 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_262 = torch.nn.functional.dropout(x_261, 0.0, False, False)
+        x_261 = None
+        x_263 = x_262.permute(0, 2, 3, 1)
+        x_262 = None
+        x_264 = torch.nn.functional.layer_norm(
+            x_263,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_263 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = (None)
+        x_265 = x_264.permute(0, 3, 1, 2)
+        x_264 = None
+        gamma_29 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_119 = x_265 * gamma_29
+        x_265 = gamma_29 = None
+        x_266 = x_257 + mul_119
+        x_257 = mul_119 = None
+        x_267 = torch.conv2d(
+            x_266,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_15 = torch.functional.split(x_267, [1408, 1408, 5], 1)
+        x_267 = None
+        q_15 = split_15[0]
+        ctx_15 = split_15[1]
+        gates_15 = split_15[2]
+        split_15 = None
+        input_121 = torch.conv2d(
+            ctx_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_15 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_122 = torch._C._nn.gelu(input_121, approximate="none")
+        input_121 = None
+        getitem_123 = gates_15[(slice(None, None, None), slice(0, 1, None))]
+        mul_120 = input_122 * getitem_123
+        getitem_123 = None
+        ctx_all_75 = 0 + mul_120
+        mul_120 = None
+        input_123 = torch.conv2d(
+            input_122,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_122 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_124 = torch._C._nn.gelu(input_123, approximate="none")
+        input_123 = None
+        getitem_124 = gates_15[(slice(None, None, None), slice(1, 2, None))]
+        mul_121 = input_124 * getitem_124
+        getitem_124 = None
+        ctx_all_76 = ctx_all_75 + mul_121
+        ctx_all_75 = mul_121 = None
+        input_125 = torch.conv2d(
+            input_124,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_124 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_126 = torch._C._nn.gelu(input_125, approximate="none")
+        input_125 = None
+        getitem_125 = gates_15[(slice(None, None, None), slice(2, 3, None))]
+        mul_122 = input_126 * getitem_125
+        getitem_125 = None
+        ctx_all_77 = ctx_all_76 + mul_122
+        ctx_all_76 = mul_122 = None
+        input_127 = torch.conv2d(
+            input_126,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_126 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_128 = torch._C._nn.gelu(input_127, approximate="none")
+        input_127 = None
+        getitem_126 = gates_15[(slice(None, None, None), slice(3, 4, None))]
+        mul_123 = input_128 * getitem_126
+        getitem_126 = None
+        ctx_all_78 = ctx_all_77 + mul_123
+        ctx_all_77 = mul_123 = None
+        mean_15 = input_128.mean((2, 3), keepdim=True)
+        input_128 = None
+        ctx_global_15 = torch._C._nn.gelu(mean_15, approximate="none")
+        mean_15 = None
+        getitem_127 = gates_15[(slice(None, None, None), slice(4, None, None))]
+        gates_15 = None
+        mul_124 = ctx_global_15 * getitem_127
+        ctx_global_15 = getitem_127 = None
+        ctx_all_79 = ctx_all_78 + mul_124
+        ctx_all_78 = mul_124 = None
+        conv2d_143 = torch.conv2d(
+            ctx_all_79,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_79 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_45 = q_15 * conv2d_143
+        q_15 = conv2d_143 = None
+        x_268 = x_out_45.permute(0, 2, 3, 1)
+        x_out_45 = None
+        x_269 = torch.nn.functional.layer_norm(
+            x_268,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_268 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_270 = x_269.permute(0, 3, 1, 2)
+        x_269 = None
+        x_out_46 = torch.conv2d(
+            x_270,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_270 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_47 = torch.nn.functional.dropout(x_out_46, 0.0, False, False)
+        x_out_46 = None
+        x_271 = x_out_47.permute(0, 2, 3, 1)
+        x_out_47 = None
+        x_272 = torch.nn.functional.layer_norm(
+            x_271,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_271 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = (None)
+        x_273 = x_272.permute(0, 3, 1, 2)
+        x_272 = None
+        gamma_30 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_126 = x_273 * gamma_30
+        x_273 = gamma_30 = None
+        x_274 = x_266 + mul_126
+        x_266 = mul_126 = None
+        x_275 = torch.conv2d(
+            x_274,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_276 = torch._C._nn.gelu(x_275, approximate="none")
+        x_275 = None
+        x_277 = torch.nn.functional.dropout(x_276, 0.0, False, False)
+        x_276 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_277 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_279 = torch.nn.functional.dropout(x_278, 0.0, False, False)
+        x_278 = None
+        x_280 = x_279.permute(0, 2, 3, 1)
+        x_279 = None
+        x_281 = torch.nn.functional.layer_norm(
+            x_280,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_280 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = (None)
+        x_282 = x_281.permute(0, 3, 1, 2)
+        x_281 = None
+        gamma_31 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_127 = x_282 * gamma_31
+        x_282 = gamma_31 = None
+        x_283 = x_274 + mul_127
+        x_274 = mul_127 = None
+        x_284 = torch.conv2d(
+            x_283,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_16 = torch.functional.split(x_284, [1408, 1408, 5], 1)
+        x_284 = None
+        q_16 = split_16[0]
+        ctx_16 = split_16[1]
+        gates_16 = split_16[2]
+        split_16 = None
+        input_129 = torch.conv2d(
+            ctx_16,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_16 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_130 = torch._C._nn.gelu(input_129, approximate="none")
+        input_129 = None
+        getitem_131 = gates_16[(slice(None, None, None), slice(0, 1, None))]
+        mul_128 = input_130 * getitem_131
+        getitem_131 = None
+        ctx_all_80 = 0 + mul_128
+        mul_128 = None
+        input_131 = torch.conv2d(
+            input_130,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_130 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_132 = torch._C._nn.gelu(input_131, approximate="none")
+        input_131 = None
+        getitem_132 = gates_16[(slice(None, None, None), slice(1, 2, None))]
+        mul_129 = input_132 * getitem_132
+        getitem_132 = None
+        ctx_all_81 = ctx_all_80 + mul_129
+        ctx_all_80 = mul_129 = None
+        input_133 = torch.conv2d(
+            input_132,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_132 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_134 = torch._C._nn.gelu(input_133, approximate="none")
+        input_133 = None
+        getitem_133 = gates_16[(slice(None, None, None), slice(2, 3, None))]
+        mul_130 = input_134 * getitem_133
+        getitem_133 = None
+        ctx_all_82 = ctx_all_81 + mul_130
+        ctx_all_81 = mul_130 = None
+        input_135 = torch.conv2d(
+            input_134,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_134 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_136 = torch._C._nn.gelu(input_135, approximate="none")
+        input_135 = None
+        getitem_134 = gates_16[(slice(None, None, None), slice(3, 4, None))]
+        mul_131 = input_136 * getitem_134
+        getitem_134 = None
+        ctx_all_83 = ctx_all_82 + mul_131
+        ctx_all_82 = mul_131 = None
+        mean_16 = input_136.mean((2, 3), keepdim=True)
+        input_136 = None
+        ctx_global_16 = torch._C._nn.gelu(mean_16, approximate="none")
+        mean_16 = None
+        getitem_135 = gates_16[(slice(None, None, None), slice(4, None, None))]
+        gates_16 = None
+        mul_132 = ctx_global_16 * getitem_135
+        ctx_global_16 = getitem_135 = None
+        ctx_all_84 = ctx_all_83 + mul_132
+        ctx_all_83 = mul_132 = None
+        conv2d_152 = torch.conv2d(
+            ctx_all_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_84 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_48 = q_16 * conv2d_152
+        q_16 = conv2d_152 = None
+        x_285 = x_out_48.permute(0, 2, 3, 1)
+        x_out_48 = None
+        x_286 = torch.nn.functional.layer_norm(
+            x_285,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_285 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_287 = x_286.permute(0, 3, 1, 2)
+        x_286 = None
+        x_out_49 = torch.conv2d(
+            x_287,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_287 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_50 = torch.nn.functional.dropout(x_out_49, 0.0, False, False)
+        x_out_49 = None
+        x_288 = x_out_50.permute(0, 2, 3, 1)
+        x_out_50 = None
+        x_289 = torch.nn.functional.layer_norm(
+            x_288,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_288 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = (None)
+        x_290 = x_289.permute(0, 3, 1, 2)
+        x_289 = None
+        gamma_32 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_134 = x_290 * gamma_32
+        x_290 = gamma_32 = None
+        x_291 = x_283 + mul_134
+        x_283 = mul_134 = None
+        x_292 = torch.conv2d(
+            x_291,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_293 = torch._C._nn.gelu(x_292, approximate="none")
+        x_292 = None
+        x_294 = torch.nn.functional.dropout(x_293, 0.0, False, False)
+        x_293 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_296 = torch.nn.functional.dropout(x_295, 0.0, False, False)
+        x_295 = None
+        x_297 = x_296.permute(0, 2, 3, 1)
+        x_296 = None
+        x_298 = torch.nn.functional.layer_norm(
+            x_297,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_297 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = (None)
+        x_299 = x_298.permute(0, 3, 1, 2)
+        x_298 = None
+        gamma_33 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_135 = x_299 * gamma_33
+        x_299 = gamma_33 = None
+        x_300 = x_291 + mul_135
+        x_291 = mul_135 = None
+        x_301 = torch.conv2d(
+            x_300,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_17 = torch.functional.split(x_301, [1408, 1408, 5], 1)
+        x_301 = None
+        q_17 = split_17[0]
+        ctx_17 = split_17[1]
+        gates_17 = split_17[2]
+        split_17 = None
+        input_137 = torch.conv2d(
+            ctx_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_17 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_138 = torch._C._nn.gelu(input_137, approximate="none")
+        input_137 = None
+        getitem_139 = gates_17[(slice(None, None, None), slice(0, 1, None))]
+        mul_136 = input_138 * getitem_139
+        getitem_139 = None
+        ctx_all_85 = 0 + mul_136
+        mul_136 = None
+        input_139 = torch.conv2d(
+            input_138,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_138 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_140 = torch._C._nn.gelu(input_139, approximate="none")
+        input_139 = None
+        getitem_140 = gates_17[(slice(None, None, None), slice(1, 2, None))]
+        mul_137 = input_140 * getitem_140
+        getitem_140 = None
+        ctx_all_86 = ctx_all_85 + mul_137
+        ctx_all_85 = mul_137 = None
+        input_141 = torch.conv2d(
+            input_140,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_140 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_142 = torch._C._nn.gelu(input_141, approximate="none")
+        input_141 = None
+        getitem_141 = gates_17[(slice(None, None, None), slice(2, 3, None))]
+        mul_138 = input_142 * getitem_141
+        getitem_141 = None
+        ctx_all_87 = ctx_all_86 + mul_138
+        ctx_all_86 = mul_138 = None
+        input_143 = torch.conv2d(
+            input_142,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_142 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_144 = torch._C._nn.gelu(input_143, approximate="none")
+        input_143 = None
+        getitem_142 = gates_17[(slice(None, None, None), slice(3, 4, None))]
+        mul_139 = input_144 * getitem_142
+        getitem_142 = None
+        ctx_all_88 = ctx_all_87 + mul_139
+        ctx_all_87 = mul_139 = None
+        mean_17 = input_144.mean((2, 3), keepdim=True)
+        input_144 = None
+        ctx_global_17 = torch._C._nn.gelu(mean_17, approximate="none")
+        mean_17 = None
+        getitem_143 = gates_17[(slice(None, None, None), slice(4, None, None))]
+        gates_17 = None
+        mul_140 = ctx_global_17 * getitem_143
+        ctx_global_17 = getitem_143 = None
+        ctx_all_89 = ctx_all_88 + mul_140
+        ctx_all_88 = mul_140 = None
+        conv2d_161 = torch.conv2d(
+            ctx_all_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_89 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_51 = q_17 * conv2d_161
+        q_17 = conv2d_161 = None
+        x_302 = x_out_51.permute(0, 2, 3, 1)
+        x_out_51 = None
+        x_303 = torch.nn.functional.layer_norm(
+            x_302,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_302 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_304 = x_303.permute(0, 3, 1, 2)
+        x_303 = None
+        x_out_52 = torch.conv2d(
+            x_304,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_304 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_53 = torch.nn.functional.dropout(x_out_52, 0.0, False, False)
+        x_out_52 = None
+        x_305 = x_out_53.permute(0, 2, 3, 1)
+        x_out_53 = None
+        x_306 = torch.nn.functional.layer_norm(
+            x_305,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_305 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = (None)
+        x_307 = x_306.permute(0, 3, 1, 2)
+        x_306 = None
+        gamma_34 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_142 = x_307 * gamma_34
+        x_307 = gamma_34 = None
+        x_308 = x_300 + mul_142
+        x_300 = mul_142 = None
+        x_309 = torch.conv2d(
+            x_308,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_310 = torch._C._nn.gelu(x_309, approximate="none")
+        x_309 = None
+        x_311 = torch.nn.functional.dropout(x_310, 0.0, False, False)
+        x_310 = None
+        x_312 = torch.conv2d(
+            x_311,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_311 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_313 = torch.nn.functional.dropout(x_312, 0.0, False, False)
+        x_312 = None
+        x_314 = x_313.permute(0, 2, 3, 1)
+        x_313 = None
+        x_315 = torch.nn.functional.layer_norm(
+            x_314,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_314 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = (None)
+        x_316 = x_315.permute(0, 3, 1, 2)
+        x_315 = None
+        gamma_35 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_143 = x_316 * gamma_35
+        x_316 = gamma_35 = None
+        x_317 = x_308 + mul_143
+        x_308 = mul_143 = None
+        x_318 = torch.conv2d(
+            x_317,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_18 = torch.functional.split(x_318, [1408, 1408, 5], 1)
+        x_318 = None
+        q_18 = split_18[0]
+        ctx_18 = split_18[1]
+        gates_18 = split_18[2]
+        split_18 = None
+        input_145 = torch.conv2d(
+            ctx_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_18 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_146 = torch._C._nn.gelu(input_145, approximate="none")
+        input_145 = None
+        getitem_147 = gates_18[(slice(None, None, None), slice(0, 1, None))]
+        mul_144 = input_146 * getitem_147
+        getitem_147 = None
+        ctx_all_90 = 0 + mul_144
+        mul_144 = None
+        input_147 = torch.conv2d(
+            input_146,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_146 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_148 = torch._C._nn.gelu(input_147, approximate="none")
+        input_147 = None
+        getitem_148 = gates_18[(slice(None, None, None), slice(1, 2, None))]
+        mul_145 = input_148 * getitem_148
+        getitem_148 = None
+        ctx_all_91 = ctx_all_90 + mul_145
+        ctx_all_90 = mul_145 = None
+        input_149 = torch.conv2d(
+            input_148,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_148 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_150 = torch._C._nn.gelu(input_149, approximate="none")
+        input_149 = None
+        getitem_149 = gates_18[(slice(None, None, None), slice(2, 3, None))]
+        mul_146 = input_150 * getitem_149
+        getitem_149 = None
+        ctx_all_92 = ctx_all_91 + mul_146
+        ctx_all_91 = mul_146 = None
+        input_151 = torch.conv2d(
+            input_150,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_150 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_152 = torch._C._nn.gelu(input_151, approximate="none")
+        input_151 = None
+        getitem_150 = gates_18[(slice(None, None, None), slice(3, 4, None))]
+        mul_147 = input_152 * getitem_150
+        getitem_150 = None
+        ctx_all_93 = ctx_all_92 + mul_147
+        ctx_all_92 = mul_147 = None
+        mean_18 = input_152.mean((2, 3), keepdim=True)
+        input_152 = None
+        ctx_global_18 = torch._C._nn.gelu(mean_18, approximate="none")
+        mean_18 = None
+        getitem_151 = gates_18[(slice(None, None, None), slice(4, None, None))]
+        gates_18 = None
+        mul_148 = ctx_global_18 * getitem_151
+        ctx_global_18 = getitem_151 = None
+        ctx_all_94 = ctx_all_93 + mul_148
+        ctx_all_93 = mul_148 = None
+        conv2d_170 = torch.conv2d(
+            ctx_all_94,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_94 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_54 = q_18 * conv2d_170
+        q_18 = conv2d_170 = None
+        x_319 = x_out_54.permute(0, 2, 3, 1)
+        x_out_54 = None
+        x_320 = torch.nn.functional.layer_norm(
+            x_319,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_319 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_321 = x_320.permute(0, 3, 1, 2)
+        x_320 = None
+        x_out_55 = torch.conv2d(
+            x_321,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_321 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_56 = torch.nn.functional.dropout(x_out_55, 0.0, False, False)
+        x_out_55 = None
+        x_322 = x_out_56.permute(0, 2, 3, 1)
+        x_out_56 = None
+        x_323 = torch.nn.functional.layer_norm(
+            x_322,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_322 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = (None)
+        x_324 = x_323.permute(0, 3, 1, 2)
+        x_323 = None
+        gamma_36 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_150 = x_324 * gamma_36
+        x_324 = gamma_36 = None
+        x_325 = x_317 + mul_150
+        x_317 = mul_150 = None
+        x_326 = torch.conv2d(
+            x_325,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_327 = torch._C._nn.gelu(x_326, approximate="none")
+        x_326 = None
+        x_328 = torch.nn.functional.dropout(x_327, 0.0, False, False)
+        x_327 = None
+        x_329 = torch.conv2d(
+            x_328,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_328 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_330 = torch.nn.functional.dropout(x_329, 0.0, False, False)
+        x_329 = None
+        x_331 = x_330.permute(0, 2, 3, 1)
+        x_330 = None
+        x_332 = torch.nn.functional.layer_norm(
+            x_331,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_331 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = (None)
+        x_333 = x_332.permute(0, 3, 1, 2)
+        x_332 = None
+        gamma_37 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_151 = x_333 * gamma_37
+        x_333 = gamma_37 = None
+        x_334 = x_325 + mul_151
+        x_325 = mul_151 = None
+        x_335 = torch.conv2d(
+            x_334,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_19 = torch.functional.split(x_335, [1408, 1408, 5], 1)
+        x_335 = None
+        q_19 = split_19[0]
+        ctx_19 = split_19[1]
+        gates_19 = split_19[2]
+        split_19 = None
+        input_153 = torch.conv2d(
+            ctx_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_19 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_154 = torch._C._nn.gelu(input_153, approximate="none")
+        input_153 = None
+        getitem_155 = gates_19[(slice(None, None, None), slice(0, 1, None))]
+        mul_152 = input_154 * getitem_155
+        getitem_155 = None
+        ctx_all_95 = 0 + mul_152
+        mul_152 = None
+        input_155 = torch.conv2d(
+            input_154,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_154 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_156 = torch._C._nn.gelu(input_155, approximate="none")
+        input_155 = None
+        getitem_156 = gates_19[(slice(None, None, None), slice(1, 2, None))]
+        mul_153 = input_156 * getitem_156
+        getitem_156 = None
+        ctx_all_96 = ctx_all_95 + mul_153
+        ctx_all_95 = mul_153 = None
+        input_157 = torch.conv2d(
+            input_156,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_156 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_158 = torch._C._nn.gelu(input_157, approximate="none")
+        input_157 = None
+        getitem_157 = gates_19[(slice(None, None, None), slice(2, 3, None))]
+        mul_154 = input_158 * getitem_157
+        getitem_157 = None
+        ctx_all_97 = ctx_all_96 + mul_154
+        ctx_all_96 = mul_154 = None
+        input_159 = torch.conv2d(
+            input_158,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_158 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_160 = torch._C._nn.gelu(input_159, approximate="none")
+        input_159 = None
+        getitem_158 = gates_19[(slice(None, None, None), slice(3, 4, None))]
+        mul_155 = input_160 * getitem_158
+        getitem_158 = None
+        ctx_all_98 = ctx_all_97 + mul_155
+        ctx_all_97 = mul_155 = None
+        mean_19 = input_160.mean((2, 3), keepdim=True)
+        input_160 = None
+        ctx_global_19 = torch._C._nn.gelu(mean_19, approximate="none")
+        mean_19 = None
+        getitem_159 = gates_19[(slice(None, None, None), slice(4, None, None))]
+        gates_19 = None
+        mul_156 = ctx_global_19 * getitem_159
+        ctx_global_19 = getitem_159 = None
+        ctx_all_99 = ctx_all_98 + mul_156
+        ctx_all_98 = mul_156 = None
+        conv2d_179 = torch.conv2d(
+            ctx_all_99,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_99 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_57 = q_19 * conv2d_179
+        q_19 = conv2d_179 = None
+        x_336 = x_out_57.permute(0, 2, 3, 1)
+        x_out_57 = None
+        x_337 = torch.nn.functional.layer_norm(
+            x_336,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_336 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_338 = x_337.permute(0, 3, 1, 2)
+        x_337 = None
+        x_out_58 = torch.conv2d(
+            x_338,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_338 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_59 = torch.nn.functional.dropout(x_out_58, 0.0, False, False)
+        x_out_58 = None
+        x_339 = x_out_59.permute(0, 2, 3, 1)
+        x_out_59 = None
+        x_340 = torch.nn.functional.layer_norm(
+            x_339,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_339 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = (None)
+        x_341 = x_340.permute(0, 3, 1, 2)
+        x_340 = None
+        gamma_38 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_158 = x_341 * gamma_38
+        x_341 = gamma_38 = None
+        x_342 = x_334 + mul_158
+        x_334 = mul_158 = None
+        x_343 = torch.conv2d(
+            x_342,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_344 = torch._C._nn.gelu(x_343, approximate="none")
+        x_343 = None
+        x_345 = torch.nn.functional.dropout(x_344, 0.0, False, False)
+        x_344 = None
+        x_346 = torch.conv2d(
+            x_345,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_345 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_347 = torch.nn.functional.dropout(x_346, 0.0, False, False)
+        x_346 = None
+        x_348 = x_347.permute(0, 2, 3, 1)
+        x_347 = None
+        x_349 = torch.nn.functional.layer_norm(
+            x_348,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_348 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = (None)
+        x_350 = x_349.permute(0, 3, 1, 2)
+        x_349 = None
+        gamma_39 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_159 = x_350 * gamma_39
+        x_350 = gamma_39 = None
+        x_351 = x_342 + mul_159
+        x_342 = mul_159 = None
+        x_352 = torch.conv2d(
+            x_351,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_20 = torch.functional.split(x_352, [1408, 1408, 5], 1)
+        x_352 = None
+        q_20 = split_20[0]
+        ctx_20 = split_20[1]
+        gates_20 = split_20[2]
+        split_20 = None
+        input_161 = torch.conv2d(
+            ctx_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_20 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_162 = torch._C._nn.gelu(input_161, approximate="none")
+        input_161 = None
+        getitem_163 = gates_20[(slice(None, None, None), slice(0, 1, None))]
+        mul_160 = input_162 * getitem_163
+        getitem_163 = None
+        ctx_all_100 = 0 + mul_160
+        mul_160 = None
+        input_163 = torch.conv2d(
+            input_162,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_162 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_164 = torch._C._nn.gelu(input_163, approximate="none")
+        input_163 = None
+        getitem_164 = gates_20[(slice(None, None, None), slice(1, 2, None))]
+        mul_161 = input_164 * getitem_164
+        getitem_164 = None
+        ctx_all_101 = ctx_all_100 + mul_161
+        ctx_all_100 = mul_161 = None
+        input_165 = torch.conv2d(
+            input_164,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_164 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_166 = torch._C._nn.gelu(input_165, approximate="none")
+        input_165 = None
+        getitem_165 = gates_20[(slice(None, None, None), slice(2, 3, None))]
+        mul_162 = input_166 * getitem_165
+        getitem_165 = None
+        ctx_all_102 = ctx_all_101 + mul_162
+        ctx_all_101 = mul_162 = None
+        input_167 = torch.conv2d(
+            input_166,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_166 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_168 = torch._C._nn.gelu(input_167, approximate="none")
+        input_167 = None
+        getitem_166 = gates_20[(slice(None, None, None), slice(3, 4, None))]
+        mul_163 = input_168 * getitem_166
+        getitem_166 = None
+        ctx_all_103 = ctx_all_102 + mul_163
+        ctx_all_102 = mul_163 = None
+        mean_20 = input_168.mean((2, 3), keepdim=True)
+        input_168 = None
+        ctx_global_20 = torch._C._nn.gelu(mean_20, approximate="none")
+        mean_20 = None
+        getitem_167 = gates_20[(slice(None, None, None), slice(4, None, None))]
+        gates_20 = None
+        mul_164 = ctx_global_20 * getitem_167
+        ctx_global_20 = getitem_167 = None
+        ctx_all_104 = ctx_all_103 + mul_164
+        ctx_all_103 = mul_164 = None
+        conv2d_188 = torch.conv2d(
+            ctx_all_104,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_104 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_60 = q_20 * conv2d_188
+        q_20 = conv2d_188 = None
+        x_353 = x_out_60.permute(0, 2, 3, 1)
+        x_out_60 = None
+        x_354 = torch.nn.functional.layer_norm(
+            x_353,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_353 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_355 = x_354.permute(0, 3, 1, 2)
+        x_354 = None
+        x_out_61 = torch.conv2d(
+            x_355,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_355 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_62 = torch.nn.functional.dropout(x_out_61, 0.0, False, False)
+        x_out_61 = None
+        x_356 = x_out_62.permute(0, 2, 3, 1)
+        x_out_62 = None
+        x_357 = torch.nn.functional.layer_norm(
+            x_356,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_356 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = (None)
+        x_358 = x_357.permute(0, 3, 1, 2)
+        x_357 = None
+        gamma_40 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_166 = x_358 * gamma_40
+        x_358 = gamma_40 = None
+        x_359 = x_351 + mul_166
+        x_351 = mul_166 = None
+        x_360 = torch.conv2d(
+            x_359,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_361 = torch._C._nn.gelu(x_360, approximate="none")
+        x_360 = None
+        x_362 = torch.nn.functional.dropout(x_361, 0.0, False, False)
+        x_361 = None
+        x_363 = torch.conv2d(
+            x_362,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_362 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_364 = torch.nn.functional.dropout(x_363, 0.0, False, False)
+        x_363 = None
+        x_365 = x_364.permute(0, 2, 3, 1)
+        x_364 = None
+        x_366 = torch.nn.functional.layer_norm(
+            x_365,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_365 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = (None)
+        x_367 = x_366.permute(0, 3, 1, 2)
+        x_366 = None
+        gamma_41 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_167 = x_367 * gamma_41
+        x_367 = gamma_41 = None
+        x_368 = x_359 + mul_167
+        x_359 = mul_167 = None
+        x_369 = torch.conv2d(
+            x_368,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_21 = torch.functional.split(x_369, [1408, 1408, 5], 1)
+        x_369 = None
+        q_21 = split_21[0]
+        ctx_21 = split_21[1]
+        gates_21 = split_21[2]
+        split_21 = None
+        input_169 = torch.conv2d(
+            ctx_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1408,
+        )
+        ctx_21 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_170 = torch._C._nn.gelu(input_169, approximate="none")
+        input_169 = None
+        getitem_171 = gates_21[(slice(None, None, None), slice(0, 1, None))]
+        mul_168 = input_170 * getitem_171
+        getitem_171 = None
+        ctx_all_105 = 0 + mul_168
+        mul_168 = None
+        input_171 = torch.conv2d(
+            input_170,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1408,
+        )
+        input_170 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_172 = torch._C._nn.gelu(input_171, approximate="none")
+        input_171 = None
+        getitem_172 = gates_21[(slice(None, None, None), slice(1, 2, None))]
+        mul_169 = input_172 * getitem_172
+        getitem_172 = None
+        ctx_all_106 = ctx_all_105 + mul_169
+        ctx_all_105 = mul_169 = None
+        input_173 = torch.conv2d(
+            input_172,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1408,
+        )
+        input_172 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_174 = torch._C._nn.gelu(input_173, approximate="none")
+        input_173 = None
+        getitem_173 = gates_21[(slice(None, None, None), slice(2, 3, None))]
+        mul_170 = input_174 * getitem_173
+        getitem_173 = None
+        ctx_all_107 = ctx_all_106 + mul_170
+        ctx_all_106 = mul_170 = None
+        input_175 = torch.conv2d(
+            input_174,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1408,
+        )
+        input_174 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_176 = torch._C._nn.gelu(input_175, approximate="none")
+        input_175 = None
+        getitem_174 = gates_21[(slice(None, None, None), slice(3, 4, None))]
+        mul_171 = input_176 * getitem_174
+        getitem_174 = None
+        ctx_all_108 = ctx_all_107 + mul_171
+        ctx_all_107 = mul_171 = None
+        mean_21 = input_176.mean((2, 3), keepdim=True)
+        input_176 = None
+        ctx_global_21 = torch._C._nn.gelu(mean_21, approximate="none")
+        mean_21 = None
+        getitem_175 = gates_21[(slice(None, None, None), slice(4, None, None))]
+        gates_21 = None
+        mul_172 = ctx_global_21 * getitem_175
+        ctx_global_21 = getitem_175 = None
+        ctx_all_109 = ctx_all_108 + mul_172
+        ctx_all_108 = mul_172 = None
+        conv2d_197 = torch.conv2d(
+            ctx_all_109,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_109 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_63 = q_21 * conv2d_197
+        q_21 = conv2d_197 = None
+        x_370 = x_out_63.permute(0, 2, 3, 1)
+        x_out_63 = None
+        x_371 = torch.nn.functional.layer_norm(
+            x_370,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_370 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_372 = x_371.permute(0, 3, 1, 2)
+        x_371 = None
+        x_out_64 = torch.conv2d(
+            x_372,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_372 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_65 = torch.nn.functional.dropout(x_out_64, 0.0, False, False)
+        x_out_64 = None
+        x_373 = x_out_65.permute(0, 2, 3, 1)
+        x_out_65 = None
+        x_374 = torch.nn.functional.layer_norm(
+            x_373,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_373 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = (None)
+        x_375 = x_374.permute(0, 3, 1, 2)
+        x_374 = None
+        gamma_42 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_174 = x_375 * gamma_42
+        x_375 = gamma_42 = None
+        x_376 = x_368 + mul_174
+        x_368 = mul_174 = None
+        x_377 = torch.conv2d(
+            x_376,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_378 = torch._C._nn.gelu(x_377, approximate="none")
+        x_377 = None
+        x_379 = torch.nn.functional.dropout(x_378, 0.0, False, False)
+        x_378 = None
+        x_380 = torch.conv2d(
+            x_379,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_379 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_381 = torch.nn.functional.dropout(x_380, 0.0, False, False)
+        x_380 = None
+        x_382 = x_381.permute(0, 2, 3, 1)
+        x_381 = None
+        x_383 = torch.nn.functional.layer_norm(
+            x_382,
+            (1408,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_382 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = (None)
+        x_384 = x_383.permute(0, 3, 1, 2)
+        x_383 = None
+        gamma_43 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_175 = x_384 * gamma_43
+        x_384 = gamma_43 = None
+        x_385 = x_376 + mul_175
+        x_376 = mul_175 = None
+        x_386 = torch.conv2d(
+            x_385,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_385 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_387 = x_386.permute(0, 2, 3, 1)
+        x_386 = None
+        x_388 = torch.nn.functional.layer_norm(
+            x_387,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_387 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_389 = x_388.permute(0, 3, 1, 2)
+        x_388 = None
+        x_390 = torch.conv2d(
+            x_389,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_22 = torch.functional.split(x_390, [2816, 2816, 5], 1)
+        x_390 = None
+        q_22 = split_22[0]
+        ctx_22 = split_22[1]
+        gates_22 = split_22[2]
+        split_22 = None
+        input_177 = torch.conv2d(
+            ctx_22,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2816,
+        )
+        ctx_22 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_178 = torch._C._nn.gelu(input_177, approximate="none")
+        input_177 = None
+        getitem_179 = gates_22[(slice(None, None, None), slice(0, 1, None))]
+        mul_176 = input_178 * getitem_179
+        getitem_179 = None
+        ctx_all_110 = 0 + mul_176
+        mul_176 = None
+        input_179 = torch.conv2d(
+            input_178,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2816,
+        )
+        input_178 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_180 = torch._C._nn.gelu(input_179, approximate="none")
+        input_179 = None
+        getitem_180 = gates_22[(slice(None, None, None), slice(1, 2, None))]
+        mul_177 = input_180 * getitem_180
+        getitem_180 = None
+        ctx_all_111 = ctx_all_110 + mul_177
+        ctx_all_110 = mul_177 = None
+        input_181 = torch.conv2d(
+            input_180,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            2816,
+        )
+        input_180 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_182 = torch._C._nn.gelu(input_181, approximate="none")
+        input_181 = None
+        getitem_181 = gates_22[(slice(None, None, None), slice(2, 3, None))]
+        mul_178 = input_182 * getitem_181
+        getitem_181 = None
+        ctx_all_112 = ctx_all_111 + mul_178
+        ctx_all_111 = mul_178 = None
+        input_183 = torch.conv2d(
+            input_182,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            2816,
+        )
+        input_182 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_184 = torch._C._nn.gelu(input_183, approximate="none")
+        input_183 = None
+        getitem_182 = gates_22[(slice(None, None, None), slice(3, 4, None))]
+        mul_179 = input_184 * getitem_182
+        getitem_182 = None
+        ctx_all_113 = ctx_all_112 + mul_179
+        ctx_all_112 = mul_179 = None
+        mean_22 = input_184.mean((2, 3), keepdim=True)
+        input_184 = None
+        ctx_global_22 = torch._C._nn.gelu(mean_22, approximate="none")
+        mean_22 = None
+        getitem_183 = gates_22[(slice(None, None, None), slice(4, None, None))]
+        gates_22 = None
+        mul_180 = ctx_global_22 * getitem_183
+        ctx_global_22 = getitem_183 = None
+        ctx_all_114 = ctx_all_113 + mul_180
+        ctx_all_113 = mul_180 = None
+        conv2d_207 = torch.conv2d(
+            ctx_all_114,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_114 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_66 = q_22 * conv2d_207
+        q_22 = conv2d_207 = None
+        x_391 = x_out_66.permute(0, 2, 3, 1)
+        x_out_66 = None
+        x_392 = torch.nn.functional.layer_norm(
+            x_391,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_391 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_393 = x_392.permute(0, 3, 1, 2)
+        x_392 = None
+        x_out_67 = torch.conv2d(
+            x_393,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_393 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_68 = torch.nn.functional.dropout(x_out_67, 0.0, False, False)
+        x_out_67 = None
+        x_394 = x_out_68.permute(0, 2, 3, 1)
+        x_out_68 = None
+        x_395 = torch.nn.functional.layer_norm(
+            x_394,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_394 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_396 = x_395.permute(0, 3, 1, 2)
+        x_395 = None
+        gamma_44 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_182 = x_396 * gamma_44
+        x_396 = gamma_44 = None
+        x_397 = x_389 + mul_182
+        x_389 = mul_182 = None
+        x_398 = torch.conv2d(
+            x_397,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_399 = torch._C._nn.gelu(x_398, approximate="none")
+        x_398 = None
+        x_400 = torch.nn.functional.dropout(x_399, 0.0, False, False)
+        x_399 = None
+        x_401 = torch.conv2d(
+            x_400,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_400 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_402 = torch.nn.functional.dropout(x_401, 0.0, False, False)
+        x_401 = None
+        x_403 = x_402.permute(0, 2, 3, 1)
+        x_402 = None
+        x_404 = torch.nn.functional.layer_norm(
+            x_403,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_403 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_405 = x_404.permute(0, 3, 1, 2)
+        x_404 = None
+        gamma_45 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_183 = x_405 * gamma_45
+        x_405 = gamma_45 = None
+        x_406 = x_397 + mul_183
+        x_397 = mul_183 = None
+        x_407 = torch.conv2d(
+            x_406,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_23 = torch.functional.split(x_407, [2816, 2816, 5], 1)
+        x_407 = None
+        q_23 = split_23[0]
+        ctx_23 = split_23[1]
+        gates_23 = split_23[2]
+        split_23 = None
+        input_185 = torch.conv2d(
+            ctx_23,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2816,
+        )
+        ctx_23 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_186 = torch._C._nn.gelu(input_185, approximate="none")
+        input_185 = None
+        getitem_187 = gates_23[(slice(None, None, None), slice(0, 1, None))]
+        mul_184 = input_186 * getitem_187
+        getitem_187 = None
+        ctx_all_115 = 0 + mul_184
+        mul_184 = None
+        input_187 = torch.conv2d(
+            input_186,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2816,
+        )
+        input_186 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_188 = torch._C._nn.gelu(input_187, approximate="none")
+        input_187 = None
+        getitem_188 = gates_23[(slice(None, None, None), slice(1, 2, None))]
+        mul_185 = input_188 * getitem_188
+        getitem_188 = None
+        ctx_all_116 = ctx_all_115 + mul_185
+        ctx_all_115 = mul_185 = None
+        input_189 = torch.conv2d(
+            input_188,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            2816,
+        )
+        input_188 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_190 = torch._C._nn.gelu(input_189, approximate="none")
+        input_189 = None
+        getitem_189 = gates_23[(slice(None, None, None), slice(2, 3, None))]
+        mul_186 = input_190 * getitem_189
+        getitem_189 = None
+        ctx_all_117 = ctx_all_116 + mul_186
+        ctx_all_116 = mul_186 = None
+        input_191 = torch.conv2d(
+            input_190,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            2816,
+        )
+        input_190 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_192 = torch._C._nn.gelu(input_191, approximate="none")
+        input_191 = None
+        getitem_190 = gates_23[(slice(None, None, None), slice(3, 4, None))]
+        mul_187 = input_192 * getitem_190
+        getitem_190 = None
+        ctx_all_118 = ctx_all_117 + mul_187
+        ctx_all_117 = mul_187 = None
+        mean_23 = input_192.mean((2, 3), keepdim=True)
+        input_192 = None
+        ctx_global_23 = torch._C._nn.gelu(mean_23, approximate="none")
+        mean_23 = None
+        getitem_191 = gates_23[(slice(None, None, None), slice(4, None, None))]
+        gates_23 = None
+        mul_188 = ctx_global_23 * getitem_191
+        ctx_global_23 = getitem_191 = None
+        ctx_all_119 = ctx_all_118 + mul_188
+        ctx_all_118 = mul_188 = None
+        conv2d_216 = torch.conv2d(
+            ctx_all_119,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_119 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_69 = q_23 * conv2d_216
+        q_23 = conv2d_216 = None
+        x_408 = x_out_69.permute(0, 2, 3, 1)
+        x_out_69 = None
+        x_409 = torch.nn.functional.layer_norm(
+            x_408,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_408 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_ = (None)
+        x_410 = x_409.permute(0, 3, 1, 2)
+        x_409 = None
+        x_out_70 = torch.conv2d(
+            x_410,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_410 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_71 = torch.nn.functional.dropout(x_out_70, 0.0, False, False)
+        x_out_70 = None
+        x_411 = x_out_71.permute(0, 2, 3, 1)
+        x_out_71 = None
+        x_412 = torch.nn.functional.layer_norm(
+            x_411,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_411 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_413 = x_412.permute(0, 3, 1, 2)
+        x_412 = None
+        gamma_46 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_190 = x_413 * gamma_46
+        x_413 = gamma_46 = None
+        x_414 = x_406 + mul_190
+        x_406 = mul_190 = None
+        x_415 = torch.conv2d(
+            x_414,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_416 = torch._C._nn.gelu(x_415, approximate="none")
+        x_415 = None
+        x_417 = torch.nn.functional.dropout(x_416, 0.0, False, False)
+        x_416 = None
+        x_418 = torch.conv2d(
+            x_417,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_417 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_419 = torch.nn.functional.dropout(x_418, 0.0, False, False)
+        x_418 = None
+        x_420 = x_419.permute(0, 2, 3, 1)
+        x_419 = None
+        x_421 = torch.nn.functional.layer_norm(
+            x_420,
+            (2816,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_420 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_422 = x_421.permute(0, 3, 1, 2)
+        x_421 = None
+        gamma_47 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_191 = x_422 * gamma_47
+        x_422 = gamma_47 = None
+        x_423 = x_414 + mul_191
+        x_414 = mul_191 = None
+        x_424 = x_423.permute(0, 2, 3, 1)
+        x_423 = None
+        x_425 = torch.nn.functional.layer_norm(
+            x_424,
+            (2816,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_424 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_426 = x_425.permute(0, 3, 1, 2)
+        x_425 = None
+        x_427 = torch.nn.functional.adaptive_avg_pool2d(x_426, 1)
+        x_426 = None
+        x_428 = x_427.flatten(1, -1)
+        x_427 = None
+        x_429 = torch.nn.functional.dropout(x_428, 0.0, False, False)
+        x_428 = None
+        return (x_429,)
diff --git a/samples/timm/focalnet_huge_fl4.ms_in22k/weight_meta.py b/samples/timm/focalnet_huge_fl4.ms_in22k/weight_meta.py
new file mode 100644
index 000000000..d9808c7a8
--- /dev/null
+++ b/samples/timm/focalnet_huge_fl4.ms_in22k/weight_meta.py
@@ -0,0 +1,5478 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [352, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.227
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [709, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [709]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [352, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [352, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [352, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [352, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [352, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [352, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1408, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [352, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [709, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [709]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [352, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [352, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [352, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [352, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [352, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [352, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1408, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [352, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [352]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [704, 352, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1413, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1413]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [704, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [704, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [704, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [704, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [704, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [704, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2816, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [704, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1413, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1413]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [704, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [704, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [704, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [704, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [704, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [704, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2816, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [704, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [704]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [1408, 704, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_"
+    shape = [2821, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_"
+    shape = [2821]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1408, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1408, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1408, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1408, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_norm_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1408, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [5632, 1408, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [5632]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1408, 5632, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_"
+    shape = [1408]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [2816, 1408, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [5637, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [5637]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [2816, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [2816, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [2816, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [2816, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [2816, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_norm_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [2816, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [11264, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [11264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [2816, 11264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [5637, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [5637]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [2816, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [2816, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [2816, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [2816, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [2816, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_norm_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [2816, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [11264, 2816, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [11264]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [2816, 11264, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [2816]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_large_fl3.ms_in22k/graph_hash.txt b/samples/timm/focalnet_large_fl3.ms_in22k/graph_hash.txt
new file mode 100644
index 000000000..de2a21e24
--- /dev/null
+++ b/samples/timm/focalnet_large_fl3.ms_in22k/graph_hash.txt
@@ -0,0 +1 @@
+73b6aa919e1e0af605100bd96777fc8018528b173e28b50deedc4267135ccd12
\ No newline at end of file
diff --git a/samples/timm/focalnet_large_fl3.ms_in22k/graph_net.json b/samples/timm/focalnet_large_fl3.ms_in22k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_large_fl3.ms_in22k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_large_fl3.ms_in22k/input_meta.py b/samples/timm/focalnet_large_fl3.ms_in22k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_large_fl3.ms_in22k/input_tensor_constraints.py b/samples/timm/focalnet_large_fl3.ms_in22k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_large_fl3.ms_in22k/model.py b/samples/timm/focalnet_large_fl3.ms_in22k/model.py
new file mode 100644
index 000000000..3658c18c4
--- /dev/null
+++ b/samples/timm/focalnet_large_fl3.ms_in22k/model.py
@@ -0,0 +1,5199 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (2, 2),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (192,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = torch.conv2d(
+            x_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_4, [192, 192, 4], 1)
+        x_4 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        input_5 = torch.conv2d(
+            input_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            192,
+        )
+        input_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, 3, None))]
+        mul_2 = input_6 * getitem_5
+        getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        mean = input_6.mean((2, 3), keepdim=True)
+        input_6 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_6 = gates[(slice(None, None, None), slice(3, None, None))]
+        gates = None
+        mul_3 = ctx_global * getitem_6
+        ctx_global = getitem_6 = None
+        ctx_all_3 = ctx_all_2 + mul_3
+        ctx_all_2 = mul_3 = None
+        conv2d_5 = torch.conv2d(
+            ctx_all_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_3 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_5
+        q = conv2d_5 = None
+        x_out_1 = torch.conv2d(
+            x_out,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_5 = x_out_2.permute(0, 2, 3, 1)
+        x_out_2 = None
+        x_6 = torch.nn.functional.layer_norm(
+            x_5,
+            (192,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_5 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_7 = x_6.permute(0, 3, 1, 2)
+        x_6 = None
+        gamma = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_5 = x_7 * gamma
+        x_7 = gamma = None
+        x_8 = x_3 + mul_5
+        x_3 = mul_5 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_10 = torch._C._nn.gelu(x_9, approximate="none")
+        x_9 = None
+        x_11 = torch.nn.functional.dropout(x_10, 0.0, False, False)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_13 = torch.nn.functional.dropout(x_12, 0.0, False, False)
+        x_12 = None
+        x_14 = x_13.permute(0, 2, 3, 1)
+        x_13 = None
+        x_15 = torch.nn.functional.layer_norm(
+            x_14,
+            (192,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_16 = x_15.permute(0, 3, 1, 2)
+        x_15 = None
+        gamma_1 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_6 = x_16 * gamma_1
+        x_16 = gamma_1 = None
+        x_17 = x_8 + mul_6
+        x_8 = mul_6 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_18, [192, 192, 4], 1)
+        x_18 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_7 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_10 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_7 = input_8 * getitem_10
+        getitem_10 = None
+        ctx_all_4 = 0 + mul_7
+        mul_7 = None
+        input_9 = torch.conv2d(
+            input_8,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        input_8 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_8 = input_10 * getitem_11
+        getitem_11 = None
+        ctx_all_5 = ctx_all_4 + mul_8
+        ctx_all_4 = mul_8 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            192,
+        )
+        input_10 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_12 = gates_1[(slice(None, None, None), slice(2, 3, None))]
+        mul_9 = input_12 * getitem_12
+        getitem_12 = None
+        ctx_all_6 = ctx_all_5 + mul_9
+        ctx_all_5 = mul_9 = None
+        mean_1 = input_12.mean((2, 3), keepdim=True)
+        input_12 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_13 = gates_1[(slice(None, None, None), slice(3, None, None))]
+        gates_1 = None
+        mul_10 = ctx_global_1 * getitem_13
+        ctx_global_1 = getitem_13 = None
+        ctx_all_7 = ctx_all_6 + mul_10
+        ctx_all_6 = mul_10 = None
+        conv2d_13 = torch.conv2d(
+            ctx_all_7,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_7 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_13
+        q_1 = conv2d_13 = None
+        x_out_4 = torch.conv2d(
+            x_out_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_19 = x_out_5.permute(0, 2, 3, 1)
+        x_out_5 = None
+        x_20 = torch.nn.functional.layer_norm(
+            x_19,
+            (192,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_19 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_21 = x_20.permute(0, 3, 1, 2)
+        x_20 = None
+        gamma_2 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_12 = x_21 * gamma_2
+        x_21 = gamma_2 = None
+        x_22 = x_17 + mul_12
+        x_17 = mul_12 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_24 = torch._C._nn.gelu(x_23, approximate="none")
+        x_23 = None
+        x_25 = torch.nn.functional.dropout(x_24, 0.0, False, False)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_27 = torch.nn.functional.dropout(x_26, 0.0, False, False)
+        x_26 = None
+        x_28 = x_27.permute(0, 2, 3, 1)
+        x_27 = None
+        x_29 = torch.nn.functional.layer_norm(
+            x_28,
+            (192,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_28 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_30 = x_29.permute(0, 3, 1, 2)
+        x_29 = None
+        gamma_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_13 = x_30 * gamma_3
+        x_30 = gamma_3 = None
+        x_31 = x_22 + mul_13
+        x_22 = mul_13 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_33 = x_32.permute(0, 2, 3, 1)
+        x_32 = None
+        x_34 = torch.nn.functional.layer_norm(
+            x_33,
+            (384,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_33 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_35 = x_34.permute(0, 3, 1, 2)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_36, [384, 384, 4], 1)
+        x_36 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_13 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_17 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_14 = input_14 * getitem_17
+        getitem_17 = None
+        ctx_all_8 = 0 + mul_14
+        mul_14 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_14 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_18 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_15 = input_16 * getitem_18
+        getitem_18 = None
+        ctx_all_9 = ctx_all_8 + mul_15
+        ctx_all_8 = mul_15 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            384,
+        )
+        input_16 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_19 = gates_2[(slice(None, None, None), slice(2, 3, None))]
+        mul_16 = input_18 * getitem_19
+        getitem_19 = None
+        ctx_all_10 = ctx_all_9 + mul_16
+        ctx_all_9 = mul_16 = None
+        mean_2 = input_18.mean((2, 3), keepdim=True)
+        input_18 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_20 = gates_2[(slice(None, None, None), slice(3, None, None))]
+        gates_2 = None
+        mul_17 = ctx_global_2 * getitem_20
+        ctx_global_2 = getitem_20 = None
+        ctx_all_11 = ctx_all_10 + mul_17
+        ctx_all_10 = mul_17 = None
+        conv2d_22 = torch.conv2d(
+            ctx_all_11,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_11 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_22
+        q_2 = conv2d_22 = None
+        x_out_7 = torch.conv2d(
+            x_out_6,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_6 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_37 = x_out_8.permute(0, 2, 3, 1)
+        x_out_8 = None
+        x_38 = torch.nn.functional.layer_norm(
+            x_37,
+            (384,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_37 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_39 = x_38.permute(0, 3, 1, 2)
+        x_38 = None
+        gamma_4 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_19 = x_39 * gamma_4
+        x_39 = gamma_4 = None
+        x_40 = x_35 + mul_19
+        x_35 = mul_19 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_42 = torch._C._nn.gelu(x_41, approximate="none")
+        x_41 = None
+        x_43 = torch.nn.functional.dropout(x_42, 0.0, False, False)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_45 = torch.nn.functional.dropout(x_44, 0.0, False, False)
+        x_44 = None
+        x_46 = x_45.permute(0, 2, 3, 1)
+        x_45 = None
+        x_47 = torch.nn.functional.layer_norm(
+            x_46,
+            (384,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_48 = x_47.permute(0, 3, 1, 2)
+        x_47 = None
+        gamma_5 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_20 = x_48 * gamma_5
+        x_48 = gamma_5 = None
+        x_49 = x_40 + mul_20
+        x_40 = mul_20 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_50, [384, 384, 4], 1)
+        x_50 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_19 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_24 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_21 = input_20 * getitem_24
+        getitem_24 = None
+        ctx_all_12 = 0 + mul_21
+        mul_21 = None
+        input_21 = torch.conv2d(
+            input_20,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_20 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_25 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_22 = input_22 * getitem_25
+        getitem_25 = None
+        ctx_all_13 = ctx_all_12 + mul_22
+        ctx_all_12 = mul_22 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            384,
+        )
+        input_22 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_26 = gates_3[(slice(None, None, None), slice(2, 3, None))]
+        mul_23 = input_24 * getitem_26
+        getitem_26 = None
+        ctx_all_14 = ctx_all_13 + mul_23
+        ctx_all_13 = mul_23 = None
+        mean_3 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_27 = gates_3[(slice(None, None, None), slice(3, None, None))]
+        gates_3 = None
+        mul_24 = ctx_global_3 * getitem_27
+        ctx_global_3 = getitem_27 = None
+        ctx_all_15 = ctx_all_14 + mul_24
+        ctx_all_14 = mul_24 = None
+        conv2d_30 = torch.conv2d(
+            ctx_all_15,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_15 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_30
+        q_3 = conv2d_30 = None
+        x_out_10 = torch.conv2d(
+            x_out_9,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_9 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_51 = x_out_11.permute(0, 2, 3, 1)
+        x_out_11 = None
+        x_52 = torch.nn.functional.layer_norm(
+            x_51,
+            (384,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_51 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_53 = x_52.permute(0, 3, 1, 2)
+        x_52 = None
+        gamma_6 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_26 = x_53 * gamma_6
+        x_53 = gamma_6 = None
+        x_54 = x_49 + mul_26
+        x_49 = mul_26 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_56 = torch._C._nn.gelu(x_55, approximate="none")
+        x_55 = None
+        x_57 = torch.nn.functional.dropout(x_56, 0.0, False, False)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_59 = torch.nn.functional.dropout(x_58, 0.0, False, False)
+        x_58 = None
+        x_60 = x_59.permute(0, 2, 3, 1)
+        x_59 = None
+        x_61 = torch.nn.functional.layer_norm(
+            x_60,
+            (384,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_62 = x_61.permute(0, 3, 1, 2)
+        x_61 = None
+        gamma_7 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_27 = x_62 * gamma_7
+        x_62 = gamma_7 = None
+        x_63 = x_54 + mul_27
+        x_54 = mul_27 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 2, 3, 1)
+        x_64 = None
+        x_66 = torch.nn.functional.layer_norm(
+            x_65,
+            (768,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_65 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_67 = x_66.permute(0, 3, 1, 2)
+        x_66 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_68, [768, 768, 4], 1)
+        x_68 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_25 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_31 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_28 = input_26 * getitem_31
+        getitem_31 = None
+        ctx_all_16 = 0 + mul_28
+        mul_28 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_26 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_32 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_29 = input_28 * getitem_32
+        getitem_32 = None
+        ctx_all_17 = ctx_all_16 + mul_29
+        ctx_all_16 = mul_29 = None
+        input_29 = torch.conv2d(
+            input_28,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_28 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_33 = gates_4[(slice(None, None, None), slice(2, 3, None))]
+        mul_30 = input_30 * getitem_33
+        getitem_33 = None
+        ctx_all_18 = ctx_all_17 + mul_30
+        ctx_all_17 = mul_30 = None
+        mean_4 = input_30.mean((2, 3), keepdim=True)
+        input_30 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_34 = gates_4[(slice(None, None, None), slice(3, None, None))]
+        gates_4 = None
+        mul_31 = ctx_global_4 * getitem_34
+        ctx_global_4 = getitem_34 = None
+        ctx_all_19 = ctx_all_18 + mul_31
+        ctx_all_18 = mul_31 = None
+        conv2d_39 = torch.conv2d(
+            ctx_all_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_19 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_39
+        q_4 = conv2d_39 = None
+        x_out_13 = torch.conv2d(
+            x_out_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_12 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_69 = x_out_14.permute(0, 2, 3, 1)
+        x_out_14 = None
+        x_70 = torch.nn.functional.layer_norm(
+            x_69,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_69 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_71 = x_70.permute(0, 3, 1, 2)
+        x_70 = None
+        gamma_8 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_33 = x_71 * gamma_8
+        x_71 = gamma_8 = None
+        x_72 = x_67 + mul_33
+        x_67 = mul_33 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_74 = torch._C._nn.gelu(x_73, approximate="none")
+        x_73 = None
+        x_75 = torch.nn.functional.dropout(x_74, 0.0, False, False)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_77 = torch.nn.functional.dropout(x_76, 0.0, False, False)
+        x_76 = None
+        x_78 = x_77.permute(0, 2, 3, 1)
+        x_77 = None
+        x_79 = torch.nn.functional.layer_norm(
+            x_78,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_78 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_80 = x_79.permute(0, 3, 1, 2)
+        x_79 = None
+        gamma_9 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_34 = x_80 * gamma_9
+        x_80 = gamma_9 = None
+        x_81 = x_72 + mul_34
+        x_72 = mul_34 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_82, [768, 768, 4], 1)
+        x_82 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_31 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_38 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_35 = input_32 * getitem_38
+        getitem_38 = None
+        ctx_all_20 = 0 + mul_35
+        mul_35 = None
+        input_33 = torch.conv2d(
+            input_32,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_32 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_39 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_36 = input_34 * getitem_39
+        getitem_39 = None
+        ctx_all_21 = ctx_all_20 + mul_36
+        ctx_all_20 = mul_36 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_40 = gates_5[(slice(None, None, None), slice(2, 3, None))]
+        mul_37 = input_36 * getitem_40
+        getitem_40 = None
+        ctx_all_22 = ctx_all_21 + mul_37
+        ctx_all_21 = mul_37 = None
+        mean_5 = input_36.mean((2, 3), keepdim=True)
+        input_36 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_41 = gates_5[(slice(None, None, None), slice(3, None, None))]
+        gates_5 = None
+        mul_38 = ctx_global_5 * getitem_41
+        ctx_global_5 = getitem_41 = None
+        ctx_all_23 = ctx_all_22 + mul_38
+        ctx_all_22 = mul_38 = None
+        conv2d_47 = torch.conv2d(
+            ctx_all_23,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_23 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_47
+        q_5 = conv2d_47 = None
+        x_out_16 = torch.conv2d(
+            x_out_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_15 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_83 = x_out_17.permute(0, 2, 3, 1)
+        x_out_17 = None
+        x_84 = torch.nn.functional.layer_norm(
+            x_83,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_83 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_85 = x_84.permute(0, 3, 1, 2)
+        x_84 = None
+        gamma_10 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_40 = x_85 * gamma_10
+        x_85 = gamma_10 = None
+        x_86 = x_81 + mul_40
+        x_81 = mul_40 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_88 = torch._C._nn.gelu(x_87, approximate="none")
+        x_87 = None
+        x_89 = torch.nn.functional.dropout(x_88, 0.0, False, False)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_91 = torch.nn.functional.dropout(x_90, 0.0, False, False)
+        x_90 = None
+        x_92 = x_91.permute(0, 2, 3, 1)
+        x_91 = None
+        x_93 = torch.nn.functional.layer_norm(
+            x_92,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_92 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_94 = x_93.permute(0, 3, 1, 2)
+        x_93 = None
+        gamma_11 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_41 = x_94 * gamma_11
+        x_94 = gamma_11 = None
+        x_95 = x_86 + mul_41
+        x_86 = mul_41 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_96, [768, 768, 4], 1)
+        x_96 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_37 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_45 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_42 = input_38 * getitem_45
+        getitem_45 = None
+        ctx_all_24 = 0 + mul_42
+        mul_42 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_46 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_43 = input_40 * getitem_46
+        getitem_46 = None
+        ctx_all_25 = ctx_all_24 + mul_43
+        ctx_all_24 = mul_43 = None
+        input_41 = torch.conv2d(
+            input_40,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_40 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_47 = gates_6[(slice(None, None, None), slice(2, 3, None))]
+        mul_44 = input_42 * getitem_47
+        getitem_47 = None
+        ctx_all_26 = ctx_all_25 + mul_44
+        ctx_all_25 = mul_44 = None
+        mean_6 = input_42.mean((2, 3), keepdim=True)
+        input_42 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_48 = gates_6[(slice(None, None, None), slice(3, None, None))]
+        gates_6 = None
+        mul_45 = ctx_global_6 * getitem_48
+        ctx_global_6 = getitem_48 = None
+        ctx_all_27 = ctx_all_26 + mul_45
+        ctx_all_26 = mul_45 = None
+        conv2d_55 = torch.conv2d(
+            ctx_all_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_27 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_55
+        q_6 = conv2d_55 = None
+        x_out_19 = torch.conv2d(
+            x_out_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_18 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_97 = x_out_20.permute(0, 2, 3, 1)
+        x_out_20 = None
+        x_98 = torch.nn.functional.layer_norm(
+            x_97,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_97 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = (None)
+        x_99 = x_98.permute(0, 3, 1, 2)
+        x_98 = None
+        gamma_12 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_47 = x_99 * gamma_12
+        x_99 = gamma_12 = None
+        x_100 = x_95 + mul_47
+        x_95 = mul_47 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_102 = torch._C._nn.gelu(x_101, approximate="none")
+        x_101 = None
+        x_103 = torch.nn.functional.dropout(x_102, 0.0, False, False)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_105 = torch.nn.functional.dropout(x_104, 0.0, False, False)
+        x_104 = None
+        x_106 = x_105.permute(0, 2, 3, 1)
+        x_105 = None
+        x_107 = torch.nn.functional.layer_norm(
+            x_106,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_106 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = (None)
+        x_108 = x_107.permute(0, 3, 1, 2)
+        x_107 = None
+        gamma_13 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_48 = x_108 * gamma_13
+        x_108 = gamma_13 = None
+        x_109 = x_100 + mul_48
+        x_100 = mul_48 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_110, [768, 768, 4], 1)
+        x_110 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_43 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_52 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_49 = input_44 * getitem_52
+        getitem_52 = None
+        ctx_all_28 = 0 + mul_49
+        mul_49 = None
+        input_45 = torch.conv2d(
+            input_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_44 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_53 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_50 = input_46 * getitem_53
+        getitem_53 = None
+        ctx_all_29 = ctx_all_28 + mul_50
+        ctx_all_28 = mul_50 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_46 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_54 = gates_7[(slice(None, None, None), slice(2, 3, None))]
+        mul_51 = input_48 * getitem_54
+        getitem_54 = None
+        ctx_all_30 = ctx_all_29 + mul_51
+        ctx_all_29 = mul_51 = None
+        mean_7 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_55 = gates_7[(slice(None, None, None), slice(3, None, None))]
+        gates_7 = None
+        mul_52 = ctx_global_7 * getitem_55
+        ctx_global_7 = getitem_55 = None
+        ctx_all_31 = ctx_all_30 + mul_52
+        ctx_all_30 = mul_52 = None
+        conv2d_63 = torch.conv2d(
+            ctx_all_31,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_31 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_63
+        q_7 = conv2d_63 = None
+        x_out_22 = torch.conv2d(
+            x_out_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_21 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_111 = x_out_23.permute(0, 2, 3, 1)
+        x_out_23 = None
+        x_112 = torch.nn.functional.layer_norm(
+            x_111,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_111 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = (None)
+        x_113 = x_112.permute(0, 3, 1, 2)
+        x_112 = None
+        gamma_14 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_54 = x_113 * gamma_14
+        x_113 = gamma_14 = None
+        x_114 = x_109 + mul_54
+        x_109 = mul_54 = None
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_116 = torch._C._nn.gelu(x_115, approximate="none")
+        x_115 = None
+        x_117 = torch.nn.functional.dropout(x_116, 0.0, False, False)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_119 = torch.nn.functional.dropout(x_118, 0.0, False, False)
+        x_118 = None
+        x_120 = x_119.permute(0, 2, 3, 1)
+        x_119 = None
+        x_121 = torch.nn.functional.layer_norm(
+            x_120,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_120 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = (None)
+        x_122 = x_121.permute(0, 3, 1, 2)
+        x_121 = None
+        gamma_15 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_55 = x_122 * gamma_15
+        x_122 = gamma_15 = None
+        x_123 = x_114 + mul_55
+        x_114 = mul_55 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_124, [768, 768, 4], 1)
+        x_124 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_49 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_50 = torch._C._nn.gelu(input_49, approximate="none")
+        input_49 = None
+        getitem_59 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_56 = input_50 * getitem_59
+        getitem_59 = None
+        ctx_all_32 = 0 + mul_56
+        mul_56 = None
+        input_51 = torch.conv2d(
+            input_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_50 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_52 = torch._C._nn.gelu(input_51, approximate="none")
+        input_51 = None
+        getitem_60 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_57 = input_52 * getitem_60
+        getitem_60 = None
+        ctx_all_33 = ctx_all_32 + mul_57
+        ctx_all_32 = mul_57 = None
+        input_53 = torch.conv2d(
+            input_52,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_52 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_54 = torch._C._nn.gelu(input_53, approximate="none")
+        input_53 = None
+        getitem_61 = gates_8[(slice(None, None, None), slice(2, 3, None))]
+        mul_58 = input_54 * getitem_61
+        getitem_61 = None
+        ctx_all_34 = ctx_all_33 + mul_58
+        ctx_all_33 = mul_58 = None
+        mean_8 = input_54.mean((2, 3), keepdim=True)
+        input_54 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_62 = gates_8[(slice(None, None, None), slice(3, None, None))]
+        gates_8 = None
+        mul_59 = ctx_global_8 * getitem_62
+        ctx_global_8 = getitem_62 = None
+        ctx_all_35 = ctx_all_34 + mul_59
+        ctx_all_34 = mul_59 = None
+        conv2d_71 = torch.conv2d(
+            ctx_all_35,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_35 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_71
+        q_8 = conv2d_71 = None
+        x_out_25 = torch.conv2d(
+            x_out_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_24 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_125 = x_out_26.permute(0, 2, 3, 1)
+        x_out_26 = None
+        x_126 = torch.nn.functional.layer_norm(
+            x_125,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_125 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = (None)
+        x_127 = x_126.permute(0, 3, 1, 2)
+        x_126 = None
+        gamma_16 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_61 = x_127 * gamma_16
+        x_127 = gamma_16 = None
+        x_128 = x_123 + mul_61
+        x_123 = mul_61 = None
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_130 = torch._C._nn.gelu(x_129, approximate="none")
+        x_129 = None
+        x_131 = torch.nn.functional.dropout(x_130, 0.0, False, False)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_131 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_133 = torch.nn.functional.dropout(x_132, 0.0, False, False)
+        x_132 = None
+        x_134 = x_133.permute(0, 2, 3, 1)
+        x_133 = None
+        x_135 = torch.nn.functional.layer_norm(
+            x_134,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = (None)
+        x_136 = x_135.permute(0, 3, 1, 2)
+        x_135 = None
+        gamma_17 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_62 = x_136 * gamma_17
+        x_136 = gamma_17 = None
+        x_137 = x_128 + mul_62
+        x_128 = mul_62 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_138, [768, 768, 4], 1)
+        x_138 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_55 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_56 = torch._C._nn.gelu(input_55, approximate="none")
+        input_55 = None
+        getitem_66 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_63 = input_56 * getitem_66
+        getitem_66 = None
+        ctx_all_36 = 0 + mul_63
+        mul_63 = None
+        input_57 = torch.conv2d(
+            input_56,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_56 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_58 = torch._C._nn.gelu(input_57, approximate="none")
+        input_57 = None
+        getitem_67 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_64 = input_58 * getitem_67
+        getitem_67 = None
+        ctx_all_37 = ctx_all_36 + mul_64
+        ctx_all_36 = mul_64 = None
+        input_59 = torch.conv2d(
+            input_58,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_58 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_60 = torch._C._nn.gelu(input_59, approximate="none")
+        input_59 = None
+        getitem_68 = gates_9[(slice(None, None, None), slice(2, 3, None))]
+        mul_65 = input_60 * getitem_68
+        getitem_68 = None
+        ctx_all_38 = ctx_all_37 + mul_65
+        ctx_all_37 = mul_65 = None
+        mean_9 = input_60.mean((2, 3), keepdim=True)
+        input_60 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_69 = gates_9[(slice(None, None, None), slice(3, None, None))]
+        gates_9 = None
+        mul_66 = ctx_global_9 * getitem_69
+        ctx_global_9 = getitem_69 = None
+        ctx_all_39 = ctx_all_38 + mul_66
+        ctx_all_38 = mul_66 = None
+        conv2d_79 = torch.conv2d(
+            ctx_all_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_39 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_79
+        q_9 = conv2d_79 = None
+        x_out_28 = torch.conv2d(
+            x_out_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_27 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_139 = x_out_29.permute(0, 2, 3, 1)
+        x_out_29 = None
+        x_140 = torch.nn.functional.layer_norm(
+            x_139,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_139 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = (None)
+        x_141 = x_140.permute(0, 3, 1, 2)
+        x_140 = None
+        gamma_18 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_68 = x_141 * gamma_18
+        x_141 = gamma_18 = None
+        x_142 = x_137 + mul_68
+        x_137 = mul_68 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_144 = torch._C._nn.gelu(x_143, approximate="none")
+        x_143 = None
+        x_145 = torch.nn.functional.dropout(x_144, 0.0, False, False)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_147 = torch.nn.functional.dropout(x_146, 0.0, False, False)
+        x_146 = None
+        x_148 = x_147.permute(0, 2, 3, 1)
+        x_147 = None
+        x_149 = torch.nn.functional.layer_norm(
+            x_148,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_148 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = (None)
+        x_150 = x_149.permute(0, 3, 1, 2)
+        x_149 = None
+        gamma_19 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_69 = x_150 * gamma_19
+        x_150 = gamma_19 = None
+        x_151 = x_142 + mul_69
+        x_142 = mul_69 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_152, [768, 768, 4], 1)
+        x_152 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_61 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_10 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_62 = torch._C._nn.gelu(input_61, approximate="none")
+        input_61 = None
+        getitem_73 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_70 = input_62 * getitem_73
+        getitem_73 = None
+        ctx_all_40 = 0 + mul_70
+        mul_70 = None
+        input_63 = torch.conv2d(
+            input_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_62 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_64 = torch._C._nn.gelu(input_63, approximate="none")
+        input_63 = None
+        getitem_74 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_71 = input_64 * getitem_74
+        getitem_74 = None
+        ctx_all_41 = ctx_all_40 + mul_71
+        ctx_all_40 = mul_71 = None
+        input_65 = torch.conv2d(
+            input_64,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_64 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_66 = torch._C._nn.gelu(input_65, approximate="none")
+        input_65 = None
+        getitem_75 = gates_10[(slice(None, None, None), slice(2, 3, None))]
+        mul_72 = input_66 * getitem_75
+        getitem_75 = None
+        ctx_all_42 = ctx_all_41 + mul_72
+        ctx_all_41 = mul_72 = None
+        mean_10 = input_66.mean((2, 3), keepdim=True)
+        input_66 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_76 = gates_10[(slice(None, None, None), slice(3, None, None))]
+        gates_10 = None
+        mul_73 = ctx_global_10 * getitem_76
+        ctx_global_10 = getitem_76 = None
+        ctx_all_43 = ctx_all_42 + mul_73
+        ctx_all_42 = mul_73 = None
+        conv2d_87 = torch.conv2d(
+            ctx_all_43,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_43 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_87
+        q_10 = conv2d_87 = None
+        x_out_31 = torch.conv2d(
+            x_out_30,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_30 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_153 = x_out_32.permute(0, 2, 3, 1)
+        x_out_32 = None
+        x_154 = torch.nn.functional.layer_norm(
+            x_153,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_153 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = (None)
+        x_155 = x_154.permute(0, 3, 1, 2)
+        x_154 = None
+        gamma_20 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_75 = x_155 * gamma_20
+        x_155 = gamma_20 = None
+        x_156 = x_151 + mul_75
+        x_151 = mul_75 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_158 = torch._C._nn.gelu(x_157, approximate="none")
+        x_157 = None
+        x_159 = torch.nn.functional.dropout(x_158, 0.0, False, False)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_161 = torch.nn.functional.dropout(x_160, 0.0, False, False)
+        x_160 = None
+        x_162 = x_161.permute(0, 2, 3, 1)
+        x_161 = None
+        x_163 = torch.nn.functional.layer_norm(
+            x_162,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_162 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = (None)
+        x_164 = x_163.permute(0, 3, 1, 2)
+        x_163 = None
+        gamma_21 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_76 = x_164 * gamma_21
+        x_164 = gamma_21 = None
+        x_165 = x_156 + mul_76
+        x_156 = mul_76 = None
+        x_166 = torch.conv2d(
+            x_165,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_166, [768, 768, 4], 1)
+        x_166 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_67 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_11 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_68 = torch._C._nn.gelu(input_67, approximate="none")
+        input_67 = None
+        getitem_80 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_77 = input_68 * getitem_80
+        getitem_80 = None
+        ctx_all_44 = 0 + mul_77
+        mul_77 = None
+        input_69 = torch.conv2d(
+            input_68,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_68 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_70 = torch._C._nn.gelu(input_69, approximate="none")
+        input_69 = None
+        getitem_81 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_78 = input_70 * getitem_81
+        getitem_81 = None
+        ctx_all_45 = ctx_all_44 + mul_78
+        ctx_all_44 = mul_78 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_70 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_72 = torch._C._nn.gelu(input_71, approximate="none")
+        input_71 = None
+        getitem_82 = gates_11[(slice(None, None, None), slice(2, 3, None))]
+        mul_79 = input_72 * getitem_82
+        getitem_82 = None
+        ctx_all_46 = ctx_all_45 + mul_79
+        ctx_all_45 = mul_79 = None
+        mean_11 = input_72.mean((2, 3), keepdim=True)
+        input_72 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_83 = gates_11[(slice(None, None, None), slice(3, None, None))]
+        gates_11 = None
+        mul_80 = ctx_global_11 * getitem_83
+        ctx_global_11 = getitem_83 = None
+        ctx_all_47 = ctx_all_46 + mul_80
+        ctx_all_46 = mul_80 = None
+        conv2d_95 = torch.conv2d(
+            ctx_all_47,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_47 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_95
+        q_11 = conv2d_95 = None
+        x_out_34 = torch.conv2d(
+            x_out_33,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_33 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_167 = x_out_35.permute(0, 2, 3, 1)
+        x_out_35 = None
+        x_168 = torch.nn.functional.layer_norm(
+            x_167,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_167 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = (None)
+        x_169 = x_168.permute(0, 3, 1, 2)
+        x_168 = None
+        gamma_22 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_82 = x_169 * gamma_22
+        x_169 = gamma_22 = None
+        x_170 = x_165 + mul_82
+        x_165 = mul_82 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_172 = torch._C._nn.gelu(x_171, approximate="none")
+        x_171 = None
+        x_173 = torch.nn.functional.dropout(x_172, 0.0, False, False)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_175 = torch.nn.functional.dropout(x_174, 0.0, False, False)
+        x_174 = None
+        x_176 = x_175.permute(0, 2, 3, 1)
+        x_175 = None
+        x_177 = torch.nn.functional.layer_norm(
+            x_176,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_176 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = (None)
+        x_178 = x_177.permute(0, 3, 1, 2)
+        x_177 = None
+        gamma_23 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_83 = x_178 * gamma_23
+        x_178 = gamma_23 = None
+        x_179 = x_170 + mul_83
+        x_170 = mul_83 = None
+        x_180 = torch.conv2d(
+            x_179,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_12 = torch.functional.split(x_180, [768, 768, 4], 1)
+        x_180 = None
+        q_12 = split_12[0]
+        ctx_12 = split_12[1]
+        gates_12 = split_12[2]
+        split_12 = None
+        input_73 = torch.conv2d(
+            ctx_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_12 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_74 = torch._C._nn.gelu(input_73, approximate="none")
+        input_73 = None
+        getitem_87 = gates_12[(slice(None, None, None), slice(0, 1, None))]
+        mul_84 = input_74 * getitem_87
+        getitem_87 = None
+        ctx_all_48 = 0 + mul_84
+        mul_84 = None
+        input_75 = torch.conv2d(
+            input_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_74 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_76 = torch._C._nn.gelu(input_75, approximate="none")
+        input_75 = None
+        getitem_88 = gates_12[(slice(None, None, None), slice(1, 2, None))]
+        mul_85 = input_76 * getitem_88
+        getitem_88 = None
+        ctx_all_49 = ctx_all_48 + mul_85
+        ctx_all_48 = mul_85 = None
+        input_77 = torch.conv2d(
+            input_76,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_76 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_78 = torch._C._nn.gelu(input_77, approximate="none")
+        input_77 = None
+        getitem_89 = gates_12[(slice(None, None, None), slice(2, 3, None))]
+        mul_86 = input_78 * getitem_89
+        getitem_89 = None
+        ctx_all_50 = ctx_all_49 + mul_86
+        ctx_all_49 = mul_86 = None
+        mean_12 = input_78.mean((2, 3), keepdim=True)
+        input_78 = None
+        ctx_global_12 = torch._C._nn.gelu(mean_12, approximate="none")
+        mean_12 = None
+        getitem_90 = gates_12[(slice(None, None, None), slice(3, None, None))]
+        gates_12 = None
+        mul_87 = ctx_global_12 * getitem_90
+        ctx_global_12 = getitem_90 = None
+        ctx_all_51 = ctx_all_50 + mul_87
+        ctx_all_50 = mul_87 = None
+        conv2d_103 = torch.conv2d(
+            ctx_all_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_51 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_36 = q_12 * conv2d_103
+        q_12 = conv2d_103 = None
+        x_out_37 = torch.conv2d(
+            x_out_36,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_36 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_38 = torch.nn.functional.dropout(x_out_37, 0.0, False, False)
+        x_out_37 = None
+        x_181 = x_out_38.permute(0, 2, 3, 1)
+        x_out_38 = None
+        x_182 = torch.nn.functional.layer_norm(
+            x_181,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_181 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = (None)
+        x_183 = x_182.permute(0, 3, 1, 2)
+        x_182 = None
+        gamma_24 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_89 = x_183 * gamma_24
+        x_183 = gamma_24 = None
+        x_184 = x_179 + mul_89
+        x_179 = mul_89 = None
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_186 = torch._C._nn.gelu(x_185, approximate="none")
+        x_185 = None
+        x_187 = torch.nn.functional.dropout(x_186, 0.0, False, False)
+        x_186 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_187 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_189 = torch.nn.functional.dropout(x_188, 0.0, False, False)
+        x_188 = None
+        x_190 = x_189.permute(0, 2, 3, 1)
+        x_189 = None
+        x_191 = torch.nn.functional.layer_norm(
+            x_190,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_190 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = (None)
+        x_192 = x_191.permute(0, 3, 1, 2)
+        x_191 = None
+        gamma_25 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_90 = x_192 * gamma_25
+        x_192 = gamma_25 = None
+        x_193 = x_184 + mul_90
+        x_184 = mul_90 = None
+        x_194 = torch.conv2d(
+            x_193,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_13 = torch.functional.split(x_194, [768, 768, 4], 1)
+        x_194 = None
+        q_13 = split_13[0]
+        ctx_13 = split_13[1]
+        gates_13 = split_13[2]
+        split_13 = None
+        input_79 = torch.conv2d(
+            ctx_13,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_13 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_80 = torch._C._nn.gelu(input_79, approximate="none")
+        input_79 = None
+        getitem_94 = gates_13[(slice(None, None, None), slice(0, 1, None))]
+        mul_91 = input_80 * getitem_94
+        getitem_94 = None
+        ctx_all_52 = 0 + mul_91
+        mul_91 = None
+        input_81 = torch.conv2d(
+            input_80,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_80 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_82 = torch._C._nn.gelu(input_81, approximate="none")
+        input_81 = None
+        getitem_95 = gates_13[(slice(None, None, None), slice(1, 2, None))]
+        mul_92 = input_82 * getitem_95
+        getitem_95 = None
+        ctx_all_53 = ctx_all_52 + mul_92
+        ctx_all_52 = mul_92 = None
+        input_83 = torch.conv2d(
+            input_82,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_82 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_84 = torch._C._nn.gelu(input_83, approximate="none")
+        input_83 = None
+        getitem_96 = gates_13[(slice(None, None, None), slice(2, 3, None))]
+        mul_93 = input_84 * getitem_96
+        getitem_96 = None
+        ctx_all_54 = ctx_all_53 + mul_93
+        ctx_all_53 = mul_93 = None
+        mean_13 = input_84.mean((2, 3), keepdim=True)
+        input_84 = None
+        ctx_global_13 = torch._C._nn.gelu(mean_13, approximate="none")
+        mean_13 = None
+        getitem_97 = gates_13[(slice(None, None, None), slice(3, None, None))]
+        gates_13 = None
+        mul_94 = ctx_global_13 * getitem_97
+        ctx_global_13 = getitem_97 = None
+        ctx_all_55 = ctx_all_54 + mul_94
+        ctx_all_54 = mul_94 = None
+        conv2d_111 = torch.conv2d(
+            ctx_all_55,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_55 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_39 = q_13 * conv2d_111
+        q_13 = conv2d_111 = None
+        x_out_40 = torch.conv2d(
+            x_out_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_39 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_41 = torch.nn.functional.dropout(x_out_40, 0.0, False, False)
+        x_out_40 = None
+        x_195 = x_out_41.permute(0, 2, 3, 1)
+        x_out_41 = None
+        x_196 = torch.nn.functional.layer_norm(
+            x_195,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_195 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = (None)
+        x_197 = x_196.permute(0, 3, 1, 2)
+        x_196 = None
+        gamma_26 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_96 = x_197 * gamma_26
+        x_197 = gamma_26 = None
+        x_198 = x_193 + mul_96
+        x_193 = mul_96 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_200 = torch._C._nn.gelu(x_199, approximate="none")
+        x_199 = None
+        x_201 = torch.nn.functional.dropout(x_200, 0.0, False, False)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_201 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_203 = torch.nn.functional.dropout(x_202, 0.0, False, False)
+        x_202 = None
+        x_204 = x_203.permute(0, 2, 3, 1)
+        x_203 = None
+        x_205 = torch.nn.functional.layer_norm(
+            x_204,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_204 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = (None)
+        x_206 = x_205.permute(0, 3, 1, 2)
+        x_205 = None
+        gamma_27 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_97 = x_206 * gamma_27
+        x_206 = gamma_27 = None
+        x_207 = x_198 + mul_97
+        x_198 = mul_97 = None
+        x_208 = torch.conv2d(
+            x_207,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_14 = torch.functional.split(x_208, [768, 768, 4], 1)
+        x_208 = None
+        q_14 = split_14[0]
+        ctx_14 = split_14[1]
+        gates_14 = split_14[2]
+        split_14 = None
+        input_85 = torch.conv2d(
+            ctx_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_14 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_86 = torch._C._nn.gelu(input_85, approximate="none")
+        input_85 = None
+        getitem_101 = gates_14[(slice(None, None, None), slice(0, 1, None))]
+        mul_98 = input_86 * getitem_101
+        getitem_101 = None
+        ctx_all_56 = 0 + mul_98
+        mul_98 = None
+        input_87 = torch.conv2d(
+            input_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_86 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_88 = torch._C._nn.gelu(input_87, approximate="none")
+        input_87 = None
+        getitem_102 = gates_14[(slice(None, None, None), slice(1, 2, None))]
+        mul_99 = input_88 * getitem_102
+        getitem_102 = None
+        ctx_all_57 = ctx_all_56 + mul_99
+        ctx_all_56 = mul_99 = None
+        input_89 = torch.conv2d(
+            input_88,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_88 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_90 = torch._C._nn.gelu(input_89, approximate="none")
+        input_89 = None
+        getitem_103 = gates_14[(slice(None, None, None), slice(2, 3, None))]
+        mul_100 = input_90 * getitem_103
+        getitem_103 = None
+        ctx_all_58 = ctx_all_57 + mul_100
+        ctx_all_57 = mul_100 = None
+        mean_14 = input_90.mean((2, 3), keepdim=True)
+        input_90 = None
+        ctx_global_14 = torch._C._nn.gelu(mean_14, approximate="none")
+        mean_14 = None
+        getitem_104 = gates_14[(slice(None, None, None), slice(3, None, None))]
+        gates_14 = None
+        mul_101 = ctx_global_14 * getitem_104
+        ctx_global_14 = getitem_104 = None
+        ctx_all_59 = ctx_all_58 + mul_101
+        ctx_all_58 = mul_101 = None
+        conv2d_119 = torch.conv2d(
+            ctx_all_59,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_59 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_42 = q_14 * conv2d_119
+        q_14 = conv2d_119 = None
+        x_out_43 = torch.conv2d(
+            x_out_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_42 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_44 = torch.nn.functional.dropout(x_out_43, 0.0, False, False)
+        x_out_43 = None
+        x_209 = x_out_44.permute(0, 2, 3, 1)
+        x_out_44 = None
+        x_210 = torch.nn.functional.layer_norm(
+            x_209,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_209 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = (None)
+        x_211 = x_210.permute(0, 3, 1, 2)
+        x_210 = None
+        gamma_28 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_103 = x_211 * gamma_28
+        x_211 = gamma_28 = None
+        x_212 = x_207 + mul_103
+        x_207 = mul_103 = None
+        x_213 = torch.conv2d(
+            x_212,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_214 = torch._C._nn.gelu(x_213, approximate="none")
+        x_213 = None
+        x_215 = torch.nn.functional.dropout(x_214, 0.0, False, False)
+        x_214 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_215 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_217 = torch.nn.functional.dropout(x_216, 0.0, False, False)
+        x_216 = None
+        x_218 = x_217.permute(0, 2, 3, 1)
+        x_217 = None
+        x_219 = torch.nn.functional.layer_norm(
+            x_218,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_218 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = (None)
+        x_220 = x_219.permute(0, 3, 1, 2)
+        x_219 = None
+        gamma_29 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_104 = x_220 * gamma_29
+        x_220 = gamma_29 = None
+        x_221 = x_212 + mul_104
+        x_212 = mul_104 = None
+        x_222 = torch.conv2d(
+            x_221,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_15 = torch.functional.split(x_222, [768, 768, 4], 1)
+        x_222 = None
+        q_15 = split_15[0]
+        ctx_15 = split_15[1]
+        gates_15 = split_15[2]
+        split_15 = None
+        input_91 = torch.conv2d(
+            ctx_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_15 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_92 = torch._C._nn.gelu(input_91, approximate="none")
+        input_91 = None
+        getitem_108 = gates_15[(slice(None, None, None), slice(0, 1, None))]
+        mul_105 = input_92 * getitem_108
+        getitem_108 = None
+        ctx_all_60 = 0 + mul_105
+        mul_105 = None
+        input_93 = torch.conv2d(
+            input_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_92 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_94 = torch._C._nn.gelu(input_93, approximate="none")
+        input_93 = None
+        getitem_109 = gates_15[(slice(None, None, None), slice(1, 2, None))]
+        mul_106 = input_94 * getitem_109
+        getitem_109 = None
+        ctx_all_61 = ctx_all_60 + mul_106
+        ctx_all_60 = mul_106 = None
+        input_95 = torch.conv2d(
+            input_94,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_94 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_96 = torch._C._nn.gelu(input_95, approximate="none")
+        input_95 = None
+        getitem_110 = gates_15[(slice(None, None, None), slice(2, 3, None))]
+        mul_107 = input_96 * getitem_110
+        getitem_110 = None
+        ctx_all_62 = ctx_all_61 + mul_107
+        ctx_all_61 = mul_107 = None
+        mean_15 = input_96.mean((2, 3), keepdim=True)
+        input_96 = None
+        ctx_global_15 = torch._C._nn.gelu(mean_15, approximate="none")
+        mean_15 = None
+        getitem_111 = gates_15[(slice(None, None, None), slice(3, None, None))]
+        gates_15 = None
+        mul_108 = ctx_global_15 * getitem_111
+        ctx_global_15 = getitem_111 = None
+        ctx_all_63 = ctx_all_62 + mul_108
+        ctx_all_62 = mul_108 = None
+        conv2d_127 = torch.conv2d(
+            ctx_all_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_63 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_45 = q_15 * conv2d_127
+        q_15 = conv2d_127 = None
+        x_out_46 = torch.conv2d(
+            x_out_45,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_45 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_47 = torch.nn.functional.dropout(x_out_46, 0.0, False, False)
+        x_out_46 = None
+        x_223 = x_out_47.permute(0, 2, 3, 1)
+        x_out_47 = None
+        x_224 = torch.nn.functional.layer_norm(
+            x_223,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_223 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = (None)
+        x_225 = x_224.permute(0, 3, 1, 2)
+        x_224 = None
+        gamma_30 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_110 = x_225 * gamma_30
+        x_225 = gamma_30 = None
+        x_226 = x_221 + mul_110
+        x_221 = mul_110 = None
+        x_227 = torch.conv2d(
+            x_226,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_228 = torch._C._nn.gelu(x_227, approximate="none")
+        x_227 = None
+        x_229 = torch.nn.functional.dropout(x_228, 0.0, False, False)
+        x_228 = None
+        x_230 = torch.conv2d(
+            x_229,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_229 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_231 = torch.nn.functional.dropout(x_230, 0.0, False, False)
+        x_230 = None
+        x_232 = x_231.permute(0, 2, 3, 1)
+        x_231 = None
+        x_233 = torch.nn.functional.layer_norm(
+            x_232,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_232 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = (None)
+        x_234 = x_233.permute(0, 3, 1, 2)
+        x_233 = None
+        gamma_31 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_111 = x_234 * gamma_31
+        x_234 = gamma_31 = None
+        x_235 = x_226 + mul_111
+        x_226 = mul_111 = None
+        x_236 = torch.conv2d(
+            x_235,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_16 = torch.functional.split(x_236, [768, 768, 4], 1)
+        x_236 = None
+        q_16 = split_16[0]
+        ctx_16 = split_16[1]
+        gates_16 = split_16[2]
+        split_16 = None
+        input_97 = torch.conv2d(
+            ctx_16,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_16 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_98 = torch._C._nn.gelu(input_97, approximate="none")
+        input_97 = None
+        getitem_115 = gates_16[(slice(None, None, None), slice(0, 1, None))]
+        mul_112 = input_98 * getitem_115
+        getitem_115 = None
+        ctx_all_64 = 0 + mul_112
+        mul_112 = None
+        input_99 = torch.conv2d(
+            input_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_98 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_100 = torch._C._nn.gelu(input_99, approximate="none")
+        input_99 = None
+        getitem_116 = gates_16[(slice(None, None, None), slice(1, 2, None))]
+        mul_113 = input_100 * getitem_116
+        getitem_116 = None
+        ctx_all_65 = ctx_all_64 + mul_113
+        ctx_all_64 = mul_113 = None
+        input_101 = torch.conv2d(
+            input_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_100 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_102 = torch._C._nn.gelu(input_101, approximate="none")
+        input_101 = None
+        getitem_117 = gates_16[(slice(None, None, None), slice(2, 3, None))]
+        mul_114 = input_102 * getitem_117
+        getitem_117 = None
+        ctx_all_66 = ctx_all_65 + mul_114
+        ctx_all_65 = mul_114 = None
+        mean_16 = input_102.mean((2, 3), keepdim=True)
+        input_102 = None
+        ctx_global_16 = torch._C._nn.gelu(mean_16, approximate="none")
+        mean_16 = None
+        getitem_118 = gates_16[(slice(None, None, None), slice(3, None, None))]
+        gates_16 = None
+        mul_115 = ctx_global_16 * getitem_118
+        ctx_global_16 = getitem_118 = None
+        ctx_all_67 = ctx_all_66 + mul_115
+        ctx_all_66 = mul_115 = None
+        conv2d_135 = torch.conv2d(
+            ctx_all_67,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_67 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_48 = q_16 * conv2d_135
+        q_16 = conv2d_135 = None
+        x_out_49 = torch.conv2d(
+            x_out_48,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_48 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_50 = torch.nn.functional.dropout(x_out_49, 0.0, False, False)
+        x_out_49 = None
+        x_237 = x_out_50.permute(0, 2, 3, 1)
+        x_out_50 = None
+        x_238 = torch.nn.functional.layer_norm(
+            x_237,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_237 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = (None)
+        x_239 = x_238.permute(0, 3, 1, 2)
+        x_238 = None
+        gamma_32 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_117 = x_239 * gamma_32
+        x_239 = gamma_32 = None
+        x_240 = x_235 + mul_117
+        x_235 = mul_117 = None
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_242 = torch._C._nn.gelu(x_241, approximate="none")
+        x_241 = None
+        x_243 = torch.nn.functional.dropout(x_242, 0.0, False, False)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_243 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_245 = torch.nn.functional.dropout(x_244, 0.0, False, False)
+        x_244 = None
+        x_246 = x_245.permute(0, 2, 3, 1)
+        x_245 = None
+        x_247 = torch.nn.functional.layer_norm(
+            x_246,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_246 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = (None)
+        x_248 = x_247.permute(0, 3, 1, 2)
+        x_247 = None
+        gamma_33 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_118 = x_248 * gamma_33
+        x_248 = gamma_33 = None
+        x_249 = x_240 + mul_118
+        x_240 = mul_118 = None
+        x_250 = torch.conv2d(
+            x_249,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_17 = torch.functional.split(x_250, [768, 768, 4], 1)
+        x_250 = None
+        q_17 = split_17[0]
+        ctx_17 = split_17[1]
+        gates_17 = split_17[2]
+        split_17 = None
+        input_103 = torch.conv2d(
+            ctx_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_17 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_104 = torch._C._nn.gelu(input_103, approximate="none")
+        input_103 = None
+        getitem_122 = gates_17[(slice(None, None, None), slice(0, 1, None))]
+        mul_119 = input_104 * getitem_122
+        getitem_122 = None
+        ctx_all_68 = 0 + mul_119
+        mul_119 = None
+        input_105 = torch.conv2d(
+            input_104,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_104 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_106 = torch._C._nn.gelu(input_105, approximate="none")
+        input_105 = None
+        getitem_123 = gates_17[(slice(None, None, None), slice(1, 2, None))]
+        mul_120 = input_106 * getitem_123
+        getitem_123 = None
+        ctx_all_69 = ctx_all_68 + mul_120
+        ctx_all_68 = mul_120 = None
+        input_107 = torch.conv2d(
+            input_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_106 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_108 = torch._C._nn.gelu(input_107, approximate="none")
+        input_107 = None
+        getitem_124 = gates_17[(slice(None, None, None), slice(2, 3, None))]
+        mul_121 = input_108 * getitem_124
+        getitem_124 = None
+        ctx_all_70 = ctx_all_69 + mul_121
+        ctx_all_69 = mul_121 = None
+        mean_17 = input_108.mean((2, 3), keepdim=True)
+        input_108 = None
+        ctx_global_17 = torch._C._nn.gelu(mean_17, approximate="none")
+        mean_17 = None
+        getitem_125 = gates_17[(slice(None, None, None), slice(3, None, None))]
+        gates_17 = None
+        mul_122 = ctx_global_17 * getitem_125
+        ctx_global_17 = getitem_125 = None
+        ctx_all_71 = ctx_all_70 + mul_122
+        ctx_all_70 = mul_122 = None
+        conv2d_143 = torch.conv2d(
+            ctx_all_71,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_71 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_51 = q_17 * conv2d_143
+        q_17 = conv2d_143 = None
+        x_out_52 = torch.conv2d(
+            x_out_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_51 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_53 = torch.nn.functional.dropout(x_out_52, 0.0, False, False)
+        x_out_52 = None
+        x_251 = x_out_53.permute(0, 2, 3, 1)
+        x_out_53 = None
+        x_252 = torch.nn.functional.layer_norm(
+            x_251,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_251 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = (None)
+        x_253 = x_252.permute(0, 3, 1, 2)
+        x_252 = None
+        gamma_34 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_124 = x_253 * gamma_34
+        x_253 = gamma_34 = None
+        x_254 = x_249 + mul_124
+        x_249 = mul_124 = None
+        x_255 = torch.conv2d(
+            x_254,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_256 = torch._C._nn.gelu(x_255, approximate="none")
+        x_255 = None
+        x_257 = torch.nn.functional.dropout(x_256, 0.0, False, False)
+        x_256 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_257 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_259 = torch.nn.functional.dropout(x_258, 0.0, False, False)
+        x_258 = None
+        x_260 = x_259.permute(0, 2, 3, 1)
+        x_259 = None
+        x_261 = torch.nn.functional.layer_norm(
+            x_260,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_260 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = (None)
+        x_262 = x_261.permute(0, 3, 1, 2)
+        x_261 = None
+        gamma_35 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_125 = x_262 * gamma_35
+        x_262 = gamma_35 = None
+        x_263 = x_254 + mul_125
+        x_254 = mul_125 = None
+        x_264 = torch.conv2d(
+            x_263,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_18 = torch.functional.split(x_264, [768, 768, 4], 1)
+        x_264 = None
+        q_18 = split_18[0]
+        ctx_18 = split_18[1]
+        gates_18 = split_18[2]
+        split_18 = None
+        input_109 = torch.conv2d(
+            ctx_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_18 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_110 = torch._C._nn.gelu(input_109, approximate="none")
+        input_109 = None
+        getitem_129 = gates_18[(slice(None, None, None), slice(0, 1, None))]
+        mul_126 = input_110 * getitem_129
+        getitem_129 = None
+        ctx_all_72 = 0 + mul_126
+        mul_126 = None
+        input_111 = torch.conv2d(
+            input_110,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_110 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_112 = torch._C._nn.gelu(input_111, approximate="none")
+        input_111 = None
+        getitem_130 = gates_18[(slice(None, None, None), slice(1, 2, None))]
+        mul_127 = input_112 * getitem_130
+        getitem_130 = None
+        ctx_all_73 = ctx_all_72 + mul_127
+        ctx_all_72 = mul_127 = None
+        input_113 = torch.conv2d(
+            input_112,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_112 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_114 = torch._C._nn.gelu(input_113, approximate="none")
+        input_113 = None
+        getitem_131 = gates_18[(slice(None, None, None), slice(2, 3, None))]
+        mul_128 = input_114 * getitem_131
+        getitem_131 = None
+        ctx_all_74 = ctx_all_73 + mul_128
+        ctx_all_73 = mul_128 = None
+        mean_18 = input_114.mean((2, 3), keepdim=True)
+        input_114 = None
+        ctx_global_18 = torch._C._nn.gelu(mean_18, approximate="none")
+        mean_18 = None
+        getitem_132 = gates_18[(slice(None, None, None), slice(3, None, None))]
+        gates_18 = None
+        mul_129 = ctx_global_18 * getitem_132
+        ctx_global_18 = getitem_132 = None
+        ctx_all_75 = ctx_all_74 + mul_129
+        ctx_all_74 = mul_129 = None
+        conv2d_151 = torch.conv2d(
+            ctx_all_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_75 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_54 = q_18 * conv2d_151
+        q_18 = conv2d_151 = None
+        x_out_55 = torch.conv2d(
+            x_out_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_54 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_56 = torch.nn.functional.dropout(x_out_55, 0.0, False, False)
+        x_out_55 = None
+        x_265 = x_out_56.permute(0, 2, 3, 1)
+        x_out_56 = None
+        x_266 = torch.nn.functional.layer_norm(
+            x_265,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_265 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = (None)
+        x_267 = x_266.permute(0, 3, 1, 2)
+        x_266 = None
+        gamma_36 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_131 = x_267 * gamma_36
+        x_267 = gamma_36 = None
+        x_268 = x_263 + mul_131
+        x_263 = mul_131 = None
+        x_269 = torch.conv2d(
+            x_268,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_270 = torch._C._nn.gelu(x_269, approximate="none")
+        x_269 = None
+        x_271 = torch.nn.functional.dropout(x_270, 0.0, False, False)
+        x_270 = None
+        x_272 = torch.conv2d(
+            x_271,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_271 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_273 = torch.nn.functional.dropout(x_272, 0.0, False, False)
+        x_272 = None
+        x_274 = x_273.permute(0, 2, 3, 1)
+        x_273 = None
+        x_275 = torch.nn.functional.layer_norm(
+            x_274,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_274 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = (None)
+        x_276 = x_275.permute(0, 3, 1, 2)
+        x_275 = None
+        gamma_37 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_132 = x_276 * gamma_37
+        x_276 = gamma_37 = None
+        x_277 = x_268 + mul_132
+        x_268 = mul_132 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_19 = torch.functional.split(x_278, [768, 768, 4], 1)
+        x_278 = None
+        q_19 = split_19[0]
+        ctx_19 = split_19[1]
+        gates_19 = split_19[2]
+        split_19 = None
+        input_115 = torch.conv2d(
+            ctx_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_19 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_116 = torch._C._nn.gelu(input_115, approximate="none")
+        input_115 = None
+        getitem_136 = gates_19[(slice(None, None, None), slice(0, 1, None))]
+        mul_133 = input_116 * getitem_136
+        getitem_136 = None
+        ctx_all_76 = 0 + mul_133
+        mul_133 = None
+        input_117 = torch.conv2d(
+            input_116,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_116 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_118 = torch._C._nn.gelu(input_117, approximate="none")
+        input_117 = None
+        getitem_137 = gates_19[(slice(None, None, None), slice(1, 2, None))]
+        mul_134 = input_118 * getitem_137
+        getitem_137 = None
+        ctx_all_77 = ctx_all_76 + mul_134
+        ctx_all_76 = mul_134 = None
+        input_119 = torch.conv2d(
+            input_118,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_118 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_120 = torch._C._nn.gelu(input_119, approximate="none")
+        input_119 = None
+        getitem_138 = gates_19[(slice(None, None, None), slice(2, 3, None))]
+        mul_135 = input_120 * getitem_138
+        getitem_138 = None
+        ctx_all_78 = ctx_all_77 + mul_135
+        ctx_all_77 = mul_135 = None
+        mean_19 = input_120.mean((2, 3), keepdim=True)
+        input_120 = None
+        ctx_global_19 = torch._C._nn.gelu(mean_19, approximate="none")
+        mean_19 = None
+        getitem_139 = gates_19[(slice(None, None, None), slice(3, None, None))]
+        gates_19 = None
+        mul_136 = ctx_global_19 * getitem_139
+        ctx_global_19 = getitem_139 = None
+        ctx_all_79 = ctx_all_78 + mul_136
+        ctx_all_78 = mul_136 = None
+        conv2d_159 = torch.conv2d(
+            ctx_all_79,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_79 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_57 = q_19 * conv2d_159
+        q_19 = conv2d_159 = None
+        x_out_58 = torch.conv2d(
+            x_out_57,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_57 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_59 = torch.nn.functional.dropout(x_out_58, 0.0, False, False)
+        x_out_58 = None
+        x_279 = x_out_59.permute(0, 2, 3, 1)
+        x_out_59 = None
+        x_280 = torch.nn.functional.layer_norm(
+            x_279,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_279 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = (None)
+        x_281 = x_280.permute(0, 3, 1, 2)
+        x_280 = None
+        gamma_38 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_138 = x_281 * gamma_38
+        x_281 = gamma_38 = None
+        x_282 = x_277 + mul_138
+        x_277 = mul_138 = None
+        x_283 = torch.conv2d(
+            x_282,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_284 = torch._C._nn.gelu(x_283, approximate="none")
+        x_283 = None
+        x_285 = torch.nn.functional.dropout(x_284, 0.0, False, False)
+        x_284 = None
+        x_286 = torch.conv2d(
+            x_285,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_285 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_287 = torch.nn.functional.dropout(x_286, 0.0, False, False)
+        x_286 = None
+        x_288 = x_287.permute(0, 2, 3, 1)
+        x_287 = None
+        x_289 = torch.nn.functional.layer_norm(
+            x_288,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_288 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = (None)
+        x_290 = x_289.permute(0, 3, 1, 2)
+        x_289 = None
+        gamma_39 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_139 = x_290 * gamma_39
+        x_290 = gamma_39 = None
+        x_291 = x_282 + mul_139
+        x_282 = mul_139 = None
+        x_292 = torch.conv2d(
+            x_291,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_20 = torch.functional.split(x_292, [768, 768, 4], 1)
+        x_292 = None
+        q_20 = split_20[0]
+        ctx_20 = split_20[1]
+        gates_20 = split_20[2]
+        split_20 = None
+        input_121 = torch.conv2d(
+            ctx_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_20 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_122 = torch._C._nn.gelu(input_121, approximate="none")
+        input_121 = None
+        getitem_143 = gates_20[(slice(None, None, None), slice(0, 1, None))]
+        mul_140 = input_122 * getitem_143
+        getitem_143 = None
+        ctx_all_80 = 0 + mul_140
+        mul_140 = None
+        input_123 = torch.conv2d(
+            input_122,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_122 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_124 = torch._C._nn.gelu(input_123, approximate="none")
+        input_123 = None
+        getitem_144 = gates_20[(slice(None, None, None), slice(1, 2, None))]
+        mul_141 = input_124 * getitem_144
+        getitem_144 = None
+        ctx_all_81 = ctx_all_80 + mul_141
+        ctx_all_80 = mul_141 = None
+        input_125 = torch.conv2d(
+            input_124,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_124 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_126 = torch._C._nn.gelu(input_125, approximate="none")
+        input_125 = None
+        getitem_145 = gates_20[(slice(None, None, None), slice(2, 3, None))]
+        mul_142 = input_126 * getitem_145
+        getitem_145 = None
+        ctx_all_82 = ctx_all_81 + mul_142
+        ctx_all_81 = mul_142 = None
+        mean_20 = input_126.mean((2, 3), keepdim=True)
+        input_126 = None
+        ctx_global_20 = torch._C._nn.gelu(mean_20, approximate="none")
+        mean_20 = None
+        getitem_146 = gates_20[(slice(None, None, None), slice(3, None, None))]
+        gates_20 = None
+        mul_143 = ctx_global_20 * getitem_146
+        ctx_global_20 = getitem_146 = None
+        ctx_all_83 = ctx_all_82 + mul_143
+        ctx_all_82 = mul_143 = None
+        conv2d_167 = torch.conv2d(
+            ctx_all_83,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_83 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_60 = q_20 * conv2d_167
+        q_20 = conv2d_167 = None
+        x_out_61 = torch.conv2d(
+            x_out_60,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_60 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_62 = torch.nn.functional.dropout(x_out_61, 0.0, False, False)
+        x_out_61 = None
+        x_293 = x_out_62.permute(0, 2, 3, 1)
+        x_out_62 = None
+        x_294 = torch.nn.functional.layer_norm(
+            x_293,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_293 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = (None)
+        x_295 = x_294.permute(0, 3, 1, 2)
+        x_294 = None
+        gamma_40 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_145 = x_295 * gamma_40
+        x_295 = gamma_40 = None
+        x_296 = x_291 + mul_145
+        x_291 = mul_145 = None
+        x_297 = torch.conv2d(
+            x_296,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_298 = torch._C._nn.gelu(x_297, approximate="none")
+        x_297 = None
+        x_299 = torch.nn.functional.dropout(x_298, 0.0, False, False)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_299 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_301 = torch.nn.functional.dropout(x_300, 0.0, False, False)
+        x_300 = None
+        x_302 = x_301.permute(0, 2, 3, 1)
+        x_301 = None
+        x_303 = torch.nn.functional.layer_norm(
+            x_302,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_302 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = (None)
+        x_304 = x_303.permute(0, 3, 1, 2)
+        x_303 = None
+        gamma_41 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_146 = x_304 * gamma_41
+        x_304 = gamma_41 = None
+        x_305 = x_296 + mul_146
+        x_296 = mul_146 = None
+        x_306 = torch.conv2d(
+            x_305,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_21 = torch.functional.split(x_306, [768, 768, 4], 1)
+        x_306 = None
+        q_21 = split_21[0]
+        ctx_21 = split_21[1]
+        gates_21 = split_21[2]
+        split_21 = None
+        input_127 = torch.conv2d(
+            ctx_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        ctx_21 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_128 = torch._C._nn.gelu(input_127, approximate="none")
+        input_127 = None
+        getitem_150 = gates_21[(slice(None, None, None), slice(0, 1, None))]
+        mul_147 = input_128 * getitem_150
+        getitem_150 = None
+        ctx_all_84 = 0 + mul_147
+        mul_147 = None
+        input_129 = torch.conv2d(
+            input_128,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_128 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_130 = torch._C._nn.gelu(input_129, approximate="none")
+        input_129 = None
+        getitem_151 = gates_21[(slice(None, None, None), slice(1, 2, None))]
+        mul_148 = input_130 * getitem_151
+        getitem_151 = None
+        ctx_all_85 = ctx_all_84 + mul_148
+        ctx_all_84 = mul_148 = None
+        input_131 = torch.conv2d(
+            input_130,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_130 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_132 = torch._C._nn.gelu(input_131, approximate="none")
+        input_131 = None
+        getitem_152 = gates_21[(slice(None, None, None), slice(2, 3, None))]
+        mul_149 = input_132 * getitem_152
+        getitem_152 = None
+        ctx_all_86 = ctx_all_85 + mul_149
+        ctx_all_85 = mul_149 = None
+        mean_21 = input_132.mean((2, 3), keepdim=True)
+        input_132 = None
+        ctx_global_21 = torch._C._nn.gelu(mean_21, approximate="none")
+        mean_21 = None
+        getitem_153 = gates_21[(slice(None, None, None), slice(3, None, None))]
+        gates_21 = None
+        mul_150 = ctx_global_21 * getitem_153
+        ctx_global_21 = getitem_153 = None
+        ctx_all_87 = ctx_all_86 + mul_150
+        ctx_all_86 = mul_150 = None
+        conv2d_175 = torch.conv2d(
+            ctx_all_87,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_87 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_63 = q_21 * conv2d_175
+        q_21 = conv2d_175 = None
+        x_out_64 = torch.conv2d(
+            x_out_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_63 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_65 = torch.nn.functional.dropout(x_out_64, 0.0, False, False)
+        x_out_64 = None
+        x_307 = x_out_65.permute(0, 2, 3, 1)
+        x_out_65 = None
+        x_308 = torch.nn.functional.layer_norm(
+            x_307,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_307 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = (None)
+        x_309 = x_308.permute(0, 3, 1, 2)
+        x_308 = None
+        gamma_42 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_152 = x_309 * gamma_42
+        x_309 = gamma_42 = None
+        x_310 = x_305 + mul_152
+        x_305 = mul_152 = None
+        x_311 = torch.conv2d(
+            x_310,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_312 = torch._C._nn.gelu(x_311, approximate="none")
+        x_311 = None
+        x_313 = torch.nn.functional.dropout(x_312, 0.0, False, False)
+        x_312 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_315 = torch.nn.functional.dropout(x_314, 0.0, False, False)
+        x_314 = None
+        x_316 = x_315.permute(0, 2, 3, 1)
+        x_315 = None
+        x_317 = torch.nn.functional.layer_norm(
+            x_316,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_316 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = (None)
+        x_318 = x_317.permute(0, 3, 1, 2)
+        x_317 = None
+        gamma_43 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_153 = x_318 * gamma_43
+        x_318 = gamma_43 = None
+        x_319 = x_310 + mul_153
+        x_310 = mul_153 = None
+        x_320 = torch.conv2d(
+            x_319,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_319 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_321 = x_320.permute(0, 2, 3, 1)
+        x_320 = None
+        x_322 = torch.nn.functional.layer_norm(
+            x_321,
+            (1536,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_321 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_323 = x_322.permute(0, 3, 1, 2)
+        x_322 = None
+        x_324 = torch.conv2d(
+            x_323,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_22 = torch.functional.split(x_324, [1536, 1536, 4], 1)
+        x_324 = None
+        q_22 = split_22[0]
+        ctx_22 = split_22[1]
+        gates_22 = split_22[2]
+        split_22 = None
+        input_133 = torch.conv2d(
+            ctx_22,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1536,
+        )
+        ctx_22 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_134 = torch._C._nn.gelu(input_133, approximate="none")
+        input_133 = None
+        getitem_157 = gates_22[(slice(None, None, None), slice(0, 1, None))]
+        mul_154 = input_134 * getitem_157
+        getitem_157 = None
+        ctx_all_88 = 0 + mul_154
+        mul_154 = None
+        input_135 = torch.conv2d(
+            input_134,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1536,
+        )
+        input_134 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_136 = torch._C._nn.gelu(input_135, approximate="none")
+        input_135 = None
+        getitem_158 = gates_22[(slice(None, None, None), slice(1, 2, None))]
+        mul_155 = input_136 * getitem_158
+        getitem_158 = None
+        ctx_all_89 = ctx_all_88 + mul_155
+        ctx_all_88 = mul_155 = None
+        input_137 = torch.conv2d(
+            input_136,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1536,
+        )
+        input_136 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_138 = torch._C._nn.gelu(input_137, approximate="none")
+        input_137 = None
+        getitem_159 = gates_22[(slice(None, None, None), slice(2, 3, None))]
+        mul_156 = input_138 * getitem_159
+        getitem_159 = None
+        ctx_all_90 = ctx_all_89 + mul_156
+        ctx_all_89 = mul_156 = None
+        mean_22 = input_138.mean((2, 3), keepdim=True)
+        input_138 = None
+        ctx_global_22 = torch._C._nn.gelu(mean_22, approximate="none")
+        mean_22 = None
+        getitem_160 = gates_22[(slice(None, None, None), slice(3, None, None))]
+        gates_22 = None
+        mul_157 = ctx_global_22 * getitem_160
+        ctx_global_22 = getitem_160 = None
+        ctx_all_91 = ctx_all_90 + mul_157
+        ctx_all_90 = mul_157 = None
+        conv2d_184 = torch.conv2d(
+            ctx_all_91,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_91 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_66 = q_22 * conv2d_184
+        q_22 = conv2d_184 = None
+        x_out_67 = torch.conv2d(
+            x_out_66,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_66 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_68 = torch.nn.functional.dropout(x_out_67, 0.0, False, False)
+        x_out_67 = None
+        x_325 = x_out_68.permute(0, 2, 3, 1)
+        x_out_68 = None
+        x_326 = torch.nn.functional.layer_norm(
+            x_325,
+            (1536,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_325 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_327 = x_326.permute(0, 3, 1, 2)
+        x_326 = None
+        gamma_44 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_159 = x_327 * gamma_44
+        x_327 = gamma_44 = None
+        x_328 = x_323 + mul_159
+        x_323 = mul_159 = None
+        x_329 = torch.conv2d(
+            x_328,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_330 = torch._C._nn.gelu(x_329, approximate="none")
+        x_329 = None
+        x_331 = torch.nn.functional.dropout(x_330, 0.0, False, False)
+        x_330 = None
+        x_332 = torch.conv2d(
+            x_331,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_331 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_333 = torch.nn.functional.dropout(x_332, 0.0, False, False)
+        x_332 = None
+        x_334 = x_333.permute(0, 2, 3, 1)
+        x_333 = None
+        x_335 = torch.nn.functional.layer_norm(
+            x_334,
+            (1536,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_334 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_336 = x_335.permute(0, 3, 1, 2)
+        x_335 = None
+        gamma_45 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_160 = x_336 * gamma_45
+        x_336 = gamma_45 = None
+        x_337 = x_328 + mul_160
+        x_328 = mul_160 = None
+        x_338 = torch.conv2d(
+            x_337,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_23 = torch.functional.split(x_338, [1536, 1536, 4], 1)
+        x_338 = None
+        q_23 = split_23[0]
+        ctx_23 = split_23[1]
+        gates_23 = split_23[2]
+        split_23 = None
+        input_139 = torch.conv2d(
+            ctx_23,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1536,
+        )
+        ctx_23 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_140 = torch._C._nn.gelu(input_139, approximate="none")
+        input_139 = None
+        getitem_164 = gates_23[(slice(None, None, None), slice(0, 1, None))]
+        mul_161 = input_140 * getitem_164
+        getitem_164 = None
+        ctx_all_92 = 0 + mul_161
+        mul_161 = None
+        input_141 = torch.conv2d(
+            input_140,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1536,
+        )
+        input_140 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_142 = torch._C._nn.gelu(input_141, approximate="none")
+        input_141 = None
+        getitem_165 = gates_23[(slice(None, None, None), slice(1, 2, None))]
+        mul_162 = input_142 * getitem_165
+        getitem_165 = None
+        ctx_all_93 = ctx_all_92 + mul_162
+        ctx_all_92 = mul_162 = None
+        input_143 = torch.conv2d(
+            input_142,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1536,
+        )
+        input_142 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_144 = torch._C._nn.gelu(input_143, approximate="none")
+        input_143 = None
+        getitem_166 = gates_23[(slice(None, None, None), slice(2, 3, None))]
+        mul_163 = input_144 * getitem_166
+        getitem_166 = None
+        ctx_all_94 = ctx_all_93 + mul_163
+        ctx_all_93 = mul_163 = None
+        mean_23 = input_144.mean((2, 3), keepdim=True)
+        input_144 = None
+        ctx_global_23 = torch._C._nn.gelu(mean_23, approximate="none")
+        mean_23 = None
+        getitem_167 = gates_23[(slice(None, None, None), slice(3, None, None))]
+        gates_23 = None
+        mul_164 = ctx_global_23 * getitem_167
+        ctx_global_23 = getitem_167 = None
+        ctx_all_95 = ctx_all_94 + mul_164
+        ctx_all_94 = mul_164 = None
+        conv2d_192 = torch.conv2d(
+            ctx_all_95,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_95 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_69 = q_23 * conv2d_192
+        q_23 = conv2d_192 = None
+        x_out_70 = torch.conv2d(
+            x_out_69,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_69 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_71 = torch.nn.functional.dropout(x_out_70, 0.0, False, False)
+        x_out_70 = None
+        x_339 = x_out_71.permute(0, 2, 3, 1)
+        x_out_71 = None
+        x_340 = torch.nn.functional.layer_norm(
+            x_339,
+            (1536,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_339 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_341 = x_340.permute(0, 3, 1, 2)
+        x_340 = None
+        gamma_46 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_166 = x_341 * gamma_46
+        x_341 = gamma_46 = None
+        x_342 = x_337 + mul_166
+        x_337 = mul_166 = None
+        x_343 = torch.conv2d(
+            x_342,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_344 = torch._C._nn.gelu(x_343, approximate="none")
+        x_343 = None
+        x_345 = torch.nn.functional.dropout(x_344, 0.0, False, False)
+        x_344 = None
+        x_346 = torch.conv2d(
+            x_345,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_345 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_347 = torch.nn.functional.dropout(x_346, 0.0, False, False)
+        x_346 = None
+        x_348 = x_347.permute(0, 2, 3, 1)
+        x_347 = None
+        x_349 = torch.nn.functional.layer_norm(
+            x_348,
+            (1536,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_348 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_350 = x_349.permute(0, 3, 1, 2)
+        x_349 = None
+        gamma_47 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_167 = x_350 * gamma_47
+        x_350 = gamma_47 = None
+        x_351 = x_342 + mul_167
+        x_342 = mul_167 = None
+        x_352 = x_351.permute(0, 2, 3, 1)
+        x_351 = None
+        x_353 = torch.nn.functional.layer_norm(
+            x_352,
+            (1536,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_352 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_354 = x_353.permute(0, 3, 1, 2)
+        x_353 = None
+        x_355 = torch.nn.functional.adaptive_avg_pool2d(x_354, 1)
+        x_354 = None
+        x_356 = x_355.flatten(1, -1)
+        x_355 = None
+        x_357 = torch.nn.functional.dropout(x_356, 0.0, False, False)
+        x_356 = None
+        x_358 = torch._C._nn.linear(
+            x_357,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_357 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_358,)
diff --git a/samples/timm/focalnet_large_fl3.ms_in22k/weight_meta.py b/samples/timm/focalnet_large_fl3.ms_in22k/weight_meta.py
new file mode 100644
index 000000000..84ffe3972
--- /dev/null
+++ b/samples/timm/focalnet_large_fl3.ms_in22k/weight_meta.py
@@ -0,0 +1,4778 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [192, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [388, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [388]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [192, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [388, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [388]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [192, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [384, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [768, 384, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [1536, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [3076, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [3076]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1536, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1536, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1536, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [1536, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1536, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1536, 6144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [3076, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [3076]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1536, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1536, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1536, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [1536, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1536, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1536, 6144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [21842, 1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [21842]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_large_fl4.ms_in22k/graph_hash.txt b/samples/timm/focalnet_large_fl4.ms_in22k/graph_hash.txt
new file mode 100644
index 000000000..d4f8c6e74
--- /dev/null
+++ b/samples/timm/focalnet_large_fl4.ms_in22k/graph_hash.txt
@@ -0,0 +1 @@
+05002c811ce937cf80416a7b936f02e2d526e005ed362f789dc8b4666b363691
\ No newline at end of file
diff --git a/samples/timm/focalnet_large_fl4.ms_in22k/graph_net.json b/samples/timm/focalnet_large_fl4.ms_in22k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_large_fl4.ms_in22k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_large_fl4.ms_in22k/input_meta.py b/samples/timm/focalnet_large_fl4.ms_in22k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_large_fl4.ms_in22k/input_tensor_constraints.py b/samples/timm/focalnet_large_fl4.ms_in22k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_large_fl4.ms_in22k/model.py b/samples/timm/focalnet_large_fl4.ms_in22k/model.py
new file mode 100644
index 000000000..f7a6fd6e9
--- /dev/null
+++ b/samples/timm/focalnet_large_fl4.ms_in22k/model.py
@@ -0,0 +1,5655 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (2, 2),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (192,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = torch.conv2d(
+            x_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_4, [192, 192, 5], 1)
+        x_4 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        input_5 = torch.conv2d(
+            input_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        input_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, 3, None))]
+        mul_2 = input_6 * getitem_5
+        getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            192,
+        )
+        input_6 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_6 = gates[(slice(None, None, None), slice(3, 4, None))]
+        mul_3 = input_8 * getitem_6
+        getitem_6 = None
+        ctx_all_3 = ctx_all_2 + mul_3
+        ctx_all_2 = mul_3 = None
+        mean = input_8.mean((2, 3), keepdim=True)
+        input_8 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_7 = gates[(slice(None, None, None), slice(4, None, None))]
+        gates = None
+        mul_4 = ctx_global * getitem_7
+        ctx_global = getitem_7 = None
+        ctx_all_4 = ctx_all_3 + mul_4
+        ctx_all_3 = mul_4 = None
+        conv2d_6 = torch.conv2d(
+            ctx_all_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_6
+        q = conv2d_6 = None
+        x_out_1 = torch.conv2d(
+            x_out,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_5 = x_out_2.permute(0, 2, 3, 1)
+        x_out_2 = None
+        x_6 = torch.nn.functional.layer_norm(
+            x_5,
+            (192,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_5 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_7 = x_6.permute(0, 3, 1, 2)
+        x_6 = None
+        gamma = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_6 = x_7 * gamma
+        x_7 = gamma = None
+        x_8 = x_3 + mul_6
+        x_3 = mul_6 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_10 = torch._C._nn.gelu(x_9, approximate="none")
+        x_9 = None
+        x_11 = torch.nn.functional.dropout(x_10, 0.0, False, False)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_13 = torch.nn.functional.dropout(x_12, 0.0, False, False)
+        x_12 = None
+        x_14 = x_13.permute(0, 2, 3, 1)
+        x_13 = None
+        x_15 = torch.nn.functional.layer_norm(
+            x_14,
+            (192,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_16 = x_15.permute(0, 3, 1, 2)
+        x_15 = None
+        gamma_1 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_7 = x_16 * gamma_1
+        x_16 = gamma_1 = None
+        x_17 = x_8 + mul_7
+        x_8 = mul_7 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_18, [192, 192, 5], 1)
+        x_18 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_9 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_8 = input_10 * getitem_11
+        getitem_11 = None
+        ctx_all_5 = 0 + mul_8
+        mul_8 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        input_10 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_12 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_9 = input_12 * getitem_12
+        getitem_12 = None
+        ctx_all_6 = ctx_all_5 + mul_9
+        ctx_all_5 = mul_9 = None
+        input_13 = torch.conv2d(
+            input_12,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        input_12 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_13 = gates_1[(slice(None, None, None), slice(2, 3, None))]
+        mul_10 = input_14 * getitem_13
+        getitem_13 = None
+        ctx_all_7 = ctx_all_6 + mul_10
+        ctx_all_6 = mul_10 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            192,
+        )
+        input_14 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_14 = gates_1[(slice(None, None, None), slice(3, 4, None))]
+        mul_11 = input_16 * getitem_14
+        getitem_14 = None
+        ctx_all_8 = ctx_all_7 + mul_11
+        ctx_all_7 = mul_11 = None
+        mean_1 = input_16.mean((2, 3), keepdim=True)
+        input_16 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_15 = gates_1[(slice(None, None, None), slice(4, None, None))]
+        gates_1 = None
+        mul_12 = ctx_global_1 * getitem_15
+        ctx_global_1 = getitem_15 = None
+        ctx_all_9 = ctx_all_8 + mul_12
+        ctx_all_8 = mul_12 = None
+        conv2d_15 = torch.conv2d(
+            ctx_all_9,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_9 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_15
+        q_1 = conv2d_15 = None
+        x_out_4 = torch.conv2d(
+            x_out_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_19 = x_out_5.permute(0, 2, 3, 1)
+        x_out_5 = None
+        x_20 = torch.nn.functional.layer_norm(
+            x_19,
+            (192,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_19 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_21 = x_20.permute(0, 3, 1, 2)
+        x_20 = None
+        gamma_2 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_14 = x_21 * gamma_2
+        x_21 = gamma_2 = None
+        x_22 = x_17 + mul_14
+        x_17 = mul_14 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_24 = torch._C._nn.gelu(x_23, approximate="none")
+        x_23 = None
+        x_25 = torch.nn.functional.dropout(x_24, 0.0, False, False)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_27 = torch.nn.functional.dropout(x_26, 0.0, False, False)
+        x_26 = None
+        x_28 = x_27.permute(0, 2, 3, 1)
+        x_27 = None
+        x_29 = torch.nn.functional.layer_norm(
+            x_28,
+            (192,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_28 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_30 = x_29.permute(0, 3, 1, 2)
+        x_29 = None
+        gamma_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_15 = x_30 * gamma_3
+        x_30 = gamma_3 = None
+        x_31 = x_22 + mul_15
+        x_22 = mul_15 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_33 = x_32.permute(0, 2, 3, 1)
+        x_32 = None
+        x_34 = torch.nn.functional.layer_norm(
+            x_33,
+            (384,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_33 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_35 = x_34.permute(0, 3, 1, 2)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_36, [384, 384, 5], 1)
+        x_36 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_17 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_19 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_16 = input_18 * getitem_19
+        getitem_19 = None
+        ctx_all_10 = 0 + mul_16
+        mul_16 = None
+        input_19 = torch.conv2d(
+            input_18,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_18 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_20 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_17 = input_20 * getitem_20
+        getitem_20 = None
+        ctx_all_11 = ctx_all_10 + mul_17
+        ctx_all_10 = mul_17 = None
+        input_21 = torch.conv2d(
+            input_20,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_20 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_21 = gates_2[(slice(None, None, None), slice(2, 3, None))]
+        mul_18 = input_22 * getitem_21
+        getitem_21 = None
+        ctx_all_12 = ctx_all_11 + mul_18
+        ctx_all_11 = mul_18 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            384,
+        )
+        input_22 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_22 = gates_2[(slice(None, None, None), slice(3, 4, None))]
+        mul_19 = input_24 * getitem_22
+        getitem_22 = None
+        ctx_all_13 = ctx_all_12 + mul_19
+        ctx_all_12 = mul_19 = None
+        mean_2 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_23 = gates_2[(slice(None, None, None), slice(4, None, None))]
+        gates_2 = None
+        mul_20 = ctx_global_2 * getitem_23
+        ctx_global_2 = getitem_23 = None
+        ctx_all_14 = ctx_all_13 + mul_20
+        ctx_all_13 = mul_20 = None
+        conv2d_25 = torch.conv2d(
+            ctx_all_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_14 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_25
+        q_2 = conv2d_25 = None
+        x_out_7 = torch.conv2d(
+            x_out_6,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_6 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_37 = x_out_8.permute(0, 2, 3, 1)
+        x_out_8 = None
+        x_38 = torch.nn.functional.layer_norm(
+            x_37,
+            (384,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_37 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_39 = x_38.permute(0, 3, 1, 2)
+        x_38 = None
+        gamma_4 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_22 = x_39 * gamma_4
+        x_39 = gamma_4 = None
+        x_40 = x_35 + mul_22
+        x_35 = mul_22 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_42 = torch._C._nn.gelu(x_41, approximate="none")
+        x_41 = None
+        x_43 = torch.nn.functional.dropout(x_42, 0.0, False, False)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_45 = torch.nn.functional.dropout(x_44, 0.0, False, False)
+        x_44 = None
+        x_46 = x_45.permute(0, 2, 3, 1)
+        x_45 = None
+        x_47 = torch.nn.functional.layer_norm(
+            x_46,
+            (384,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_48 = x_47.permute(0, 3, 1, 2)
+        x_47 = None
+        gamma_5 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_23 = x_48 * gamma_5
+        x_48 = gamma_5 = None
+        x_49 = x_40 + mul_23
+        x_40 = mul_23 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_50, [384, 384, 5], 1)
+        x_50 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_25 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_27 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_24 = input_26 * getitem_27
+        getitem_27 = None
+        ctx_all_15 = 0 + mul_24
+        mul_24 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_26 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_28 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_25 = input_28 * getitem_28
+        getitem_28 = None
+        ctx_all_16 = ctx_all_15 + mul_25
+        ctx_all_15 = mul_25 = None
+        input_29 = torch.conv2d(
+            input_28,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_28 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_29 = gates_3[(slice(None, None, None), slice(2, 3, None))]
+        mul_26 = input_30 * getitem_29
+        getitem_29 = None
+        ctx_all_17 = ctx_all_16 + mul_26
+        ctx_all_16 = mul_26 = None
+        input_31 = torch.conv2d(
+            input_30,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            384,
+        )
+        input_30 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_30 = gates_3[(slice(None, None, None), slice(3, 4, None))]
+        mul_27 = input_32 * getitem_30
+        getitem_30 = None
+        ctx_all_18 = ctx_all_17 + mul_27
+        ctx_all_17 = mul_27 = None
+        mean_3 = input_32.mean((2, 3), keepdim=True)
+        input_32 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_31 = gates_3[(slice(None, None, None), slice(4, None, None))]
+        gates_3 = None
+        mul_28 = ctx_global_3 * getitem_31
+        ctx_global_3 = getitem_31 = None
+        ctx_all_19 = ctx_all_18 + mul_28
+        ctx_all_18 = mul_28 = None
+        conv2d_34 = torch.conv2d(
+            ctx_all_19,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_19 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_34
+        q_3 = conv2d_34 = None
+        x_out_10 = torch.conv2d(
+            x_out_9,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_9 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_51 = x_out_11.permute(0, 2, 3, 1)
+        x_out_11 = None
+        x_52 = torch.nn.functional.layer_norm(
+            x_51,
+            (384,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_51 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_53 = x_52.permute(0, 3, 1, 2)
+        x_52 = None
+        gamma_6 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_30 = x_53 * gamma_6
+        x_53 = gamma_6 = None
+        x_54 = x_49 + mul_30
+        x_49 = mul_30 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_56 = torch._C._nn.gelu(x_55, approximate="none")
+        x_55 = None
+        x_57 = torch.nn.functional.dropout(x_56, 0.0, False, False)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_59 = torch.nn.functional.dropout(x_58, 0.0, False, False)
+        x_58 = None
+        x_60 = x_59.permute(0, 2, 3, 1)
+        x_59 = None
+        x_61 = torch.nn.functional.layer_norm(
+            x_60,
+            (384,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_62 = x_61.permute(0, 3, 1, 2)
+        x_61 = None
+        gamma_7 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_31 = x_62 * gamma_7
+        x_62 = gamma_7 = None
+        x_63 = x_54 + mul_31
+        x_54 = mul_31 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 2, 3, 1)
+        x_64 = None
+        x_66 = torch.nn.functional.layer_norm(
+            x_65,
+            (768,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_65 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_67 = x_66.permute(0, 3, 1, 2)
+        x_66 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_68, [768, 768, 5], 1)
+        x_68 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_33 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_35 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_32 = input_34 * getitem_35
+        getitem_35 = None
+        ctx_all_20 = 0 + mul_32
+        mul_32 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_36 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_33 = input_36 * getitem_36
+        getitem_36 = None
+        ctx_all_21 = ctx_all_20 + mul_33
+        ctx_all_20 = mul_33 = None
+        input_37 = torch.conv2d(
+            input_36,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_36 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_37 = gates_4[(slice(None, None, None), slice(2, 3, None))]
+        mul_34 = input_38 * getitem_37
+        getitem_37 = None
+        ctx_all_22 = ctx_all_21 + mul_34
+        ctx_all_21 = mul_34 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_38 = gates_4[(slice(None, None, None), slice(3, 4, None))]
+        mul_35 = input_40 * getitem_38
+        getitem_38 = None
+        ctx_all_23 = ctx_all_22 + mul_35
+        ctx_all_22 = mul_35 = None
+        mean_4 = input_40.mean((2, 3), keepdim=True)
+        input_40 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_39 = gates_4[(slice(None, None, None), slice(4, None, None))]
+        gates_4 = None
+        mul_36 = ctx_global_4 * getitem_39
+        ctx_global_4 = getitem_39 = None
+        ctx_all_24 = ctx_all_23 + mul_36
+        ctx_all_23 = mul_36 = None
+        conv2d_44 = torch.conv2d(
+            ctx_all_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_24 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_44
+        q_4 = conv2d_44 = None
+        x_out_13 = torch.conv2d(
+            x_out_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_12 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_69 = x_out_14.permute(0, 2, 3, 1)
+        x_out_14 = None
+        x_70 = torch.nn.functional.layer_norm(
+            x_69,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_69 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_71 = x_70.permute(0, 3, 1, 2)
+        x_70 = None
+        gamma_8 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_38 = x_71 * gamma_8
+        x_71 = gamma_8 = None
+        x_72 = x_67 + mul_38
+        x_67 = mul_38 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_74 = torch._C._nn.gelu(x_73, approximate="none")
+        x_73 = None
+        x_75 = torch.nn.functional.dropout(x_74, 0.0, False, False)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_77 = torch.nn.functional.dropout(x_76, 0.0, False, False)
+        x_76 = None
+        x_78 = x_77.permute(0, 2, 3, 1)
+        x_77 = None
+        x_79 = torch.nn.functional.layer_norm(
+            x_78,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_78 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_80 = x_79.permute(0, 3, 1, 2)
+        x_79 = None
+        gamma_9 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_39 = x_80 * gamma_9
+        x_80 = gamma_9 = None
+        x_81 = x_72 + mul_39
+        x_72 = mul_39 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_82, [768, 768, 5], 1)
+        x_82 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_41 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_43 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_40 = input_42 * getitem_43
+        getitem_43 = None
+        ctx_all_25 = 0 + mul_40
+        mul_40 = None
+        input_43 = torch.conv2d(
+            input_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_42 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_44 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_41 = input_44 * getitem_44
+        getitem_44 = None
+        ctx_all_26 = ctx_all_25 + mul_41
+        ctx_all_25 = mul_41 = None
+        input_45 = torch.conv2d(
+            input_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_44 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_45 = gates_5[(slice(None, None, None), slice(2, 3, None))]
+        mul_42 = input_46 * getitem_45
+        getitem_45 = None
+        ctx_all_27 = ctx_all_26 + mul_42
+        ctx_all_26 = mul_42 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_46 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_46 = gates_5[(slice(None, None, None), slice(3, 4, None))]
+        mul_43 = input_48 * getitem_46
+        getitem_46 = None
+        ctx_all_28 = ctx_all_27 + mul_43
+        ctx_all_27 = mul_43 = None
+        mean_5 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_47 = gates_5[(slice(None, None, None), slice(4, None, None))]
+        gates_5 = None
+        mul_44 = ctx_global_5 * getitem_47
+        ctx_global_5 = getitem_47 = None
+        ctx_all_29 = ctx_all_28 + mul_44
+        ctx_all_28 = mul_44 = None
+        conv2d_53 = torch.conv2d(
+            ctx_all_29,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_29 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_53
+        q_5 = conv2d_53 = None
+        x_out_16 = torch.conv2d(
+            x_out_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_15 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_83 = x_out_17.permute(0, 2, 3, 1)
+        x_out_17 = None
+        x_84 = torch.nn.functional.layer_norm(
+            x_83,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_83 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_85 = x_84.permute(0, 3, 1, 2)
+        x_84 = None
+        gamma_10 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_46 = x_85 * gamma_10
+        x_85 = gamma_10 = None
+        x_86 = x_81 + mul_46
+        x_81 = mul_46 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_88 = torch._C._nn.gelu(x_87, approximate="none")
+        x_87 = None
+        x_89 = torch.nn.functional.dropout(x_88, 0.0, False, False)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_91 = torch.nn.functional.dropout(x_90, 0.0, False, False)
+        x_90 = None
+        x_92 = x_91.permute(0, 2, 3, 1)
+        x_91 = None
+        x_93 = torch.nn.functional.layer_norm(
+            x_92,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_92 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_94 = x_93.permute(0, 3, 1, 2)
+        x_93 = None
+        gamma_11 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_47 = x_94 * gamma_11
+        x_94 = gamma_11 = None
+        x_95 = x_86 + mul_47
+        x_86 = mul_47 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_96, [768, 768, 5], 1)
+        x_96 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_49 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_50 = torch._C._nn.gelu(input_49, approximate="none")
+        input_49 = None
+        getitem_51 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_48 = input_50 * getitem_51
+        getitem_51 = None
+        ctx_all_30 = 0 + mul_48
+        mul_48 = None
+        input_51 = torch.conv2d(
+            input_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_50 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_52 = torch._C._nn.gelu(input_51, approximate="none")
+        input_51 = None
+        getitem_52 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_49 = input_52 * getitem_52
+        getitem_52 = None
+        ctx_all_31 = ctx_all_30 + mul_49
+        ctx_all_30 = mul_49 = None
+        input_53 = torch.conv2d(
+            input_52,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_52 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_54 = torch._C._nn.gelu(input_53, approximate="none")
+        input_53 = None
+        getitem_53 = gates_6[(slice(None, None, None), slice(2, 3, None))]
+        mul_50 = input_54 * getitem_53
+        getitem_53 = None
+        ctx_all_32 = ctx_all_31 + mul_50
+        ctx_all_31 = mul_50 = None
+        input_55 = torch.conv2d(
+            input_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_54 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_56 = torch._C._nn.gelu(input_55, approximate="none")
+        input_55 = None
+        getitem_54 = gates_6[(slice(None, None, None), slice(3, 4, None))]
+        mul_51 = input_56 * getitem_54
+        getitem_54 = None
+        ctx_all_33 = ctx_all_32 + mul_51
+        ctx_all_32 = mul_51 = None
+        mean_6 = input_56.mean((2, 3), keepdim=True)
+        input_56 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_55 = gates_6[(slice(None, None, None), slice(4, None, None))]
+        gates_6 = None
+        mul_52 = ctx_global_6 * getitem_55
+        ctx_global_6 = getitem_55 = None
+        ctx_all_34 = ctx_all_33 + mul_52
+        ctx_all_33 = mul_52 = None
+        conv2d_62 = torch.conv2d(
+            ctx_all_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_34 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_62
+        q_6 = conv2d_62 = None
+        x_out_19 = torch.conv2d(
+            x_out_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_18 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_97 = x_out_20.permute(0, 2, 3, 1)
+        x_out_20 = None
+        x_98 = torch.nn.functional.layer_norm(
+            x_97,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_97 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = (None)
+        x_99 = x_98.permute(0, 3, 1, 2)
+        x_98 = None
+        gamma_12 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_54 = x_99 * gamma_12
+        x_99 = gamma_12 = None
+        x_100 = x_95 + mul_54
+        x_95 = mul_54 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_102 = torch._C._nn.gelu(x_101, approximate="none")
+        x_101 = None
+        x_103 = torch.nn.functional.dropout(x_102, 0.0, False, False)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_105 = torch.nn.functional.dropout(x_104, 0.0, False, False)
+        x_104 = None
+        x_106 = x_105.permute(0, 2, 3, 1)
+        x_105 = None
+        x_107 = torch.nn.functional.layer_norm(
+            x_106,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_106 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = (None)
+        x_108 = x_107.permute(0, 3, 1, 2)
+        x_107 = None
+        gamma_13 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_55 = x_108 * gamma_13
+        x_108 = gamma_13 = None
+        x_109 = x_100 + mul_55
+        x_100 = mul_55 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_110, [768, 768, 5], 1)
+        x_110 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_57 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_58 = torch._C._nn.gelu(input_57, approximate="none")
+        input_57 = None
+        getitem_59 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_56 = input_58 * getitem_59
+        getitem_59 = None
+        ctx_all_35 = 0 + mul_56
+        mul_56 = None
+        input_59 = torch.conv2d(
+            input_58,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_58 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_60 = torch._C._nn.gelu(input_59, approximate="none")
+        input_59 = None
+        getitem_60 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_57 = input_60 * getitem_60
+        getitem_60 = None
+        ctx_all_36 = ctx_all_35 + mul_57
+        ctx_all_35 = mul_57 = None
+        input_61 = torch.conv2d(
+            input_60,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_60 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_62 = torch._C._nn.gelu(input_61, approximate="none")
+        input_61 = None
+        getitem_61 = gates_7[(slice(None, None, None), slice(2, 3, None))]
+        mul_58 = input_62 * getitem_61
+        getitem_61 = None
+        ctx_all_37 = ctx_all_36 + mul_58
+        ctx_all_36 = mul_58 = None
+        input_63 = torch.conv2d(
+            input_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_62 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_64 = torch._C._nn.gelu(input_63, approximate="none")
+        input_63 = None
+        getitem_62 = gates_7[(slice(None, None, None), slice(3, 4, None))]
+        mul_59 = input_64 * getitem_62
+        getitem_62 = None
+        ctx_all_38 = ctx_all_37 + mul_59
+        ctx_all_37 = mul_59 = None
+        mean_7 = input_64.mean((2, 3), keepdim=True)
+        input_64 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_63 = gates_7[(slice(None, None, None), slice(4, None, None))]
+        gates_7 = None
+        mul_60 = ctx_global_7 * getitem_63
+        ctx_global_7 = getitem_63 = None
+        ctx_all_39 = ctx_all_38 + mul_60
+        ctx_all_38 = mul_60 = None
+        conv2d_71 = torch.conv2d(
+            ctx_all_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_39 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_71
+        q_7 = conv2d_71 = None
+        x_out_22 = torch.conv2d(
+            x_out_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_21 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_111 = x_out_23.permute(0, 2, 3, 1)
+        x_out_23 = None
+        x_112 = torch.nn.functional.layer_norm(
+            x_111,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_111 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = (None)
+        x_113 = x_112.permute(0, 3, 1, 2)
+        x_112 = None
+        gamma_14 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_62 = x_113 * gamma_14
+        x_113 = gamma_14 = None
+        x_114 = x_109 + mul_62
+        x_109 = mul_62 = None
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_116 = torch._C._nn.gelu(x_115, approximate="none")
+        x_115 = None
+        x_117 = torch.nn.functional.dropout(x_116, 0.0, False, False)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_119 = torch.nn.functional.dropout(x_118, 0.0, False, False)
+        x_118 = None
+        x_120 = x_119.permute(0, 2, 3, 1)
+        x_119 = None
+        x_121 = torch.nn.functional.layer_norm(
+            x_120,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_120 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = (None)
+        x_122 = x_121.permute(0, 3, 1, 2)
+        x_121 = None
+        gamma_15 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_63 = x_122 * gamma_15
+        x_122 = gamma_15 = None
+        x_123 = x_114 + mul_63
+        x_114 = mul_63 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_124, [768, 768, 5], 1)
+        x_124 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_65 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_66 = torch._C._nn.gelu(input_65, approximate="none")
+        input_65 = None
+        getitem_67 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_64 = input_66 * getitem_67
+        getitem_67 = None
+        ctx_all_40 = 0 + mul_64
+        mul_64 = None
+        input_67 = torch.conv2d(
+            input_66,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_66 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_68 = torch._C._nn.gelu(input_67, approximate="none")
+        input_67 = None
+        getitem_68 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_65 = input_68 * getitem_68
+        getitem_68 = None
+        ctx_all_41 = ctx_all_40 + mul_65
+        ctx_all_40 = mul_65 = None
+        input_69 = torch.conv2d(
+            input_68,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_68 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_70 = torch._C._nn.gelu(input_69, approximate="none")
+        input_69 = None
+        getitem_69 = gates_8[(slice(None, None, None), slice(2, 3, None))]
+        mul_66 = input_70 * getitem_69
+        getitem_69 = None
+        ctx_all_42 = ctx_all_41 + mul_66
+        ctx_all_41 = mul_66 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_70 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_72 = torch._C._nn.gelu(input_71, approximate="none")
+        input_71 = None
+        getitem_70 = gates_8[(slice(None, None, None), slice(3, 4, None))]
+        mul_67 = input_72 * getitem_70
+        getitem_70 = None
+        ctx_all_43 = ctx_all_42 + mul_67
+        ctx_all_42 = mul_67 = None
+        mean_8 = input_72.mean((2, 3), keepdim=True)
+        input_72 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_71 = gates_8[(slice(None, None, None), slice(4, None, None))]
+        gates_8 = None
+        mul_68 = ctx_global_8 * getitem_71
+        ctx_global_8 = getitem_71 = None
+        ctx_all_44 = ctx_all_43 + mul_68
+        ctx_all_43 = mul_68 = None
+        conv2d_80 = torch.conv2d(
+            ctx_all_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_44 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_80
+        q_8 = conv2d_80 = None
+        x_out_25 = torch.conv2d(
+            x_out_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_24 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_125 = x_out_26.permute(0, 2, 3, 1)
+        x_out_26 = None
+        x_126 = torch.nn.functional.layer_norm(
+            x_125,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_125 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = (None)
+        x_127 = x_126.permute(0, 3, 1, 2)
+        x_126 = None
+        gamma_16 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_70 = x_127 * gamma_16
+        x_127 = gamma_16 = None
+        x_128 = x_123 + mul_70
+        x_123 = mul_70 = None
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_130 = torch._C._nn.gelu(x_129, approximate="none")
+        x_129 = None
+        x_131 = torch.nn.functional.dropout(x_130, 0.0, False, False)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_131 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_133 = torch.nn.functional.dropout(x_132, 0.0, False, False)
+        x_132 = None
+        x_134 = x_133.permute(0, 2, 3, 1)
+        x_133 = None
+        x_135 = torch.nn.functional.layer_norm(
+            x_134,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = (None)
+        x_136 = x_135.permute(0, 3, 1, 2)
+        x_135 = None
+        gamma_17 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_71 = x_136 * gamma_17
+        x_136 = gamma_17 = None
+        x_137 = x_128 + mul_71
+        x_128 = mul_71 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_138, [768, 768, 5], 1)
+        x_138 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_73 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_74 = torch._C._nn.gelu(input_73, approximate="none")
+        input_73 = None
+        getitem_75 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_72 = input_74 * getitem_75
+        getitem_75 = None
+        ctx_all_45 = 0 + mul_72
+        mul_72 = None
+        input_75 = torch.conv2d(
+            input_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_74 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_76 = torch._C._nn.gelu(input_75, approximate="none")
+        input_75 = None
+        getitem_76 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_73 = input_76 * getitem_76
+        getitem_76 = None
+        ctx_all_46 = ctx_all_45 + mul_73
+        ctx_all_45 = mul_73 = None
+        input_77 = torch.conv2d(
+            input_76,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_76 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_78 = torch._C._nn.gelu(input_77, approximate="none")
+        input_77 = None
+        getitem_77 = gates_9[(slice(None, None, None), slice(2, 3, None))]
+        mul_74 = input_78 * getitem_77
+        getitem_77 = None
+        ctx_all_47 = ctx_all_46 + mul_74
+        ctx_all_46 = mul_74 = None
+        input_79 = torch.conv2d(
+            input_78,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_78 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_80 = torch._C._nn.gelu(input_79, approximate="none")
+        input_79 = None
+        getitem_78 = gates_9[(slice(None, None, None), slice(3, 4, None))]
+        mul_75 = input_80 * getitem_78
+        getitem_78 = None
+        ctx_all_48 = ctx_all_47 + mul_75
+        ctx_all_47 = mul_75 = None
+        mean_9 = input_80.mean((2, 3), keepdim=True)
+        input_80 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_79 = gates_9[(slice(None, None, None), slice(4, None, None))]
+        gates_9 = None
+        mul_76 = ctx_global_9 * getitem_79
+        ctx_global_9 = getitem_79 = None
+        ctx_all_49 = ctx_all_48 + mul_76
+        ctx_all_48 = mul_76 = None
+        conv2d_89 = torch.conv2d(
+            ctx_all_49,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_49 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_89
+        q_9 = conv2d_89 = None
+        x_out_28 = torch.conv2d(
+            x_out_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_27 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_139 = x_out_29.permute(0, 2, 3, 1)
+        x_out_29 = None
+        x_140 = torch.nn.functional.layer_norm(
+            x_139,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_139 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = (None)
+        x_141 = x_140.permute(0, 3, 1, 2)
+        x_140 = None
+        gamma_18 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_78 = x_141 * gamma_18
+        x_141 = gamma_18 = None
+        x_142 = x_137 + mul_78
+        x_137 = mul_78 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_144 = torch._C._nn.gelu(x_143, approximate="none")
+        x_143 = None
+        x_145 = torch.nn.functional.dropout(x_144, 0.0, False, False)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_147 = torch.nn.functional.dropout(x_146, 0.0, False, False)
+        x_146 = None
+        x_148 = x_147.permute(0, 2, 3, 1)
+        x_147 = None
+        x_149 = torch.nn.functional.layer_norm(
+            x_148,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_148 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = (None)
+        x_150 = x_149.permute(0, 3, 1, 2)
+        x_149 = None
+        gamma_19 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_79 = x_150 * gamma_19
+        x_150 = gamma_19 = None
+        x_151 = x_142 + mul_79
+        x_142 = mul_79 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_152, [768, 768, 5], 1)
+        x_152 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_81 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_10 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_82 = torch._C._nn.gelu(input_81, approximate="none")
+        input_81 = None
+        getitem_83 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_80 = input_82 * getitem_83
+        getitem_83 = None
+        ctx_all_50 = 0 + mul_80
+        mul_80 = None
+        input_83 = torch.conv2d(
+            input_82,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_82 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_84 = torch._C._nn.gelu(input_83, approximate="none")
+        input_83 = None
+        getitem_84 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_81 = input_84 * getitem_84
+        getitem_84 = None
+        ctx_all_51 = ctx_all_50 + mul_81
+        ctx_all_50 = mul_81 = None
+        input_85 = torch.conv2d(
+            input_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_84 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_86 = torch._C._nn.gelu(input_85, approximate="none")
+        input_85 = None
+        getitem_85 = gates_10[(slice(None, None, None), slice(2, 3, None))]
+        mul_82 = input_86 * getitem_85
+        getitem_85 = None
+        ctx_all_52 = ctx_all_51 + mul_82
+        ctx_all_51 = mul_82 = None
+        input_87 = torch.conv2d(
+            input_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_86 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_88 = torch._C._nn.gelu(input_87, approximate="none")
+        input_87 = None
+        getitem_86 = gates_10[(slice(None, None, None), slice(3, 4, None))]
+        mul_83 = input_88 * getitem_86
+        getitem_86 = None
+        ctx_all_53 = ctx_all_52 + mul_83
+        ctx_all_52 = mul_83 = None
+        mean_10 = input_88.mean((2, 3), keepdim=True)
+        input_88 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_87 = gates_10[(slice(None, None, None), slice(4, None, None))]
+        gates_10 = None
+        mul_84 = ctx_global_10 * getitem_87
+        ctx_global_10 = getitem_87 = None
+        ctx_all_54 = ctx_all_53 + mul_84
+        ctx_all_53 = mul_84 = None
+        conv2d_98 = torch.conv2d(
+            ctx_all_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_54 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_98
+        q_10 = conv2d_98 = None
+        x_out_31 = torch.conv2d(
+            x_out_30,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_30 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_153 = x_out_32.permute(0, 2, 3, 1)
+        x_out_32 = None
+        x_154 = torch.nn.functional.layer_norm(
+            x_153,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_153 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = (None)
+        x_155 = x_154.permute(0, 3, 1, 2)
+        x_154 = None
+        gamma_20 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_86 = x_155 * gamma_20
+        x_155 = gamma_20 = None
+        x_156 = x_151 + mul_86
+        x_151 = mul_86 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_158 = torch._C._nn.gelu(x_157, approximate="none")
+        x_157 = None
+        x_159 = torch.nn.functional.dropout(x_158, 0.0, False, False)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_161 = torch.nn.functional.dropout(x_160, 0.0, False, False)
+        x_160 = None
+        x_162 = x_161.permute(0, 2, 3, 1)
+        x_161 = None
+        x_163 = torch.nn.functional.layer_norm(
+            x_162,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_162 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = (None)
+        x_164 = x_163.permute(0, 3, 1, 2)
+        x_163 = None
+        gamma_21 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_87 = x_164 * gamma_21
+        x_164 = gamma_21 = None
+        x_165 = x_156 + mul_87
+        x_156 = mul_87 = None
+        x_166 = torch.conv2d(
+            x_165,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_166, [768, 768, 5], 1)
+        x_166 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_89 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_11 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_90 = torch._C._nn.gelu(input_89, approximate="none")
+        input_89 = None
+        getitem_91 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_88 = input_90 * getitem_91
+        getitem_91 = None
+        ctx_all_55 = 0 + mul_88
+        mul_88 = None
+        input_91 = torch.conv2d(
+            input_90,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_90 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_92 = torch._C._nn.gelu(input_91, approximate="none")
+        input_91 = None
+        getitem_92 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_89 = input_92 * getitem_92
+        getitem_92 = None
+        ctx_all_56 = ctx_all_55 + mul_89
+        ctx_all_55 = mul_89 = None
+        input_93 = torch.conv2d(
+            input_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_92 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_94 = torch._C._nn.gelu(input_93, approximate="none")
+        input_93 = None
+        getitem_93 = gates_11[(slice(None, None, None), slice(2, 3, None))]
+        mul_90 = input_94 * getitem_93
+        getitem_93 = None
+        ctx_all_57 = ctx_all_56 + mul_90
+        ctx_all_56 = mul_90 = None
+        input_95 = torch.conv2d(
+            input_94,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_94 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_96 = torch._C._nn.gelu(input_95, approximate="none")
+        input_95 = None
+        getitem_94 = gates_11[(slice(None, None, None), slice(3, 4, None))]
+        mul_91 = input_96 * getitem_94
+        getitem_94 = None
+        ctx_all_58 = ctx_all_57 + mul_91
+        ctx_all_57 = mul_91 = None
+        mean_11 = input_96.mean((2, 3), keepdim=True)
+        input_96 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_95 = gates_11[(slice(None, None, None), slice(4, None, None))]
+        gates_11 = None
+        mul_92 = ctx_global_11 * getitem_95
+        ctx_global_11 = getitem_95 = None
+        ctx_all_59 = ctx_all_58 + mul_92
+        ctx_all_58 = mul_92 = None
+        conv2d_107 = torch.conv2d(
+            ctx_all_59,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_59 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_107
+        q_11 = conv2d_107 = None
+        x_out_34 = torch.conv2d(
+            x_out_33,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_33 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_167 = x_out_35.permute(0, 2, 3, 1)
+        x_out_35 = None
+        x_168 = torch.nn.functional.layer_norm(
+            x_167,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_167 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = (None)
+        x_169 = x_168.permute(0, 3, 1, 2)
+        x_168 = None
+        gamma_22 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_94 = x_169 * gamma_22
+        x_169 = gamma_22 = None
+        x_170 = x_165 + mul_94
+        x_165 = mul_94 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_172 = torch._C._nn.gelu(x_171, approximate="none")
+        x_171 = None
+        x_173 = torch.nn.functional.dropout(x_172, 0.0, False, False)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_175 = torch.nn.functional.dropout(x_174, 0.0, False, False)
+        x_174 = None
+        x_176 = x_175.permute(0, 2, 3, 1)
+        x_175 = None
+        x_177 = torch.nn.functional.layer_norm(
+            x_176,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_176 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = (None)
+        x_178 = x_177.permute(0, 3, 1, 2)
+        x_177 = None
+        gamma_23 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_95 = x_178 * gamma_23
+        x_178 = gamma_23 = None
+        x_179 = x_170 + mul_95
+        x_170 = mul_95 = None
+        x_180 = torch.conv2d(
+            x_179,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_12 = torch.functional.split(x_180, [768, 768, 5], 1)
+        x_180 = None
+        q_12 = split_12[0]
+        ctx_12 = split_12[1]
+        gates_12 = split_12[2]
+        split_12 = None
+        input_97 = torch.conv2d(
+            ctx_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_12 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_98 = torch._C._nn.gelu(input_97, approximate="none")
+        input_97 = None
+        getitem_99 = gates_12[(slice(None, None, None), slice(0, 1, None))]
+        mul_96 = input_98 * getitem_99
+        getitem_99 = None
+        ctx_all_60 = 0 + mul_96
+        mul_96 = None
+        input_99 = torch.conv2d(
+            input_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_98 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_100 = torch._C._nn.gelu(input_99, approximate="none")
+        input_99 = None
+        getitem_100 = gates_12[(slice(None, None, None), slice(1, 2, None))]
+        mul_97 = input_100 * getitem_100
+        getitem_100 = None
+        ctx_all_61 = ctx_all_60 + mul_97
+        ctx_all_60 = mul_97 = None
+        input_101 = torch.conv2d(
+            input_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_100 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_102 = torch._C._nn.gelu(input_101, approximate="none")
+        input_101 = None
+        getitem_101 = gates_12[(slice(None, None, None), slice(2, 3, None))]
+        mul_98 = input_102 * getitem_101
+        getitem_101 = None
+        ctx_all_62 = ctx_all_61 + mul_98
+        ctx_all_61 = mul_98 = None
+        input_103 = torch.conv2d(
+            input_102,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_102 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_104 = torch._C._nn.gelu(input_103, approximate="none")
+        input_103 = None
+        getitem_102 = gates_12[(slice(None, None, None), slice(3, 4, None))]
+        mul_99 = input_104 * getitem_102
+        getitem_102 = None
+        ctx_all_63 = ctx_all_62 + mul_99
+        ctx_all_62 = mul_99 = None
+        mean_12 = input_104.mean((2, 3), keepdim=True)
+        input_104 = None
+        ctx_global_12 = torch._C._nn.gelu(mean_12, approximate="none")
+        mean_12 = None
+        getitem_103 = gates_12[(slice(None, None, None), slice(4, None, None))]
+        gates_12 = None
+        mul_100 = ctx_global_12 * getitem_103
+        ctx_global_12 = getitem_103 = None
+        ctx_all_64 = ctx_all_63 + mul_100
+        ctx_all_63 = mul_100 = None
+        conv2d_116 = torch.conv2d(
+            ctx_all_64,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_64 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_36 = q_12 * conv2d_116
+        q_12 = conv2d_116 = None
+        x_out_37 = torch.conv2d(
+            x_out_36,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_36 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_38 = torch.nn.functional.dropout(x_out_37, 0.0, False, False)
+        x_out_37 = None
+        x_181 = x_out_38.permute(0, 2, 3, 1)
+        x_out_38 = None
+        x_182 = torch.nn.functional.layer_norm(
+            x_181,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_181 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = (None)
+        x_183 = x_182.permute(0, 3, 1, 2)
+        x_182 = None
+        gamma_24 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_102 = x_183 * gamma_24
+        x_183 = gamma_24 = None
+        x_184 = x_179 + mul_102
+        x_179 = mul_102 = None
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_186 = torch._C._nn.gelu(x_185, approximate="none")
+        x_185 = None
+        x_187 = torch.nn.functional.dropout(x_186, 0.0, False, False)
+        x_186 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_187 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_189 = torch.nn.functional.dropout(x_188, 0.0, False, False)
+        x_188 = None
+        x_190 = x_189.permute(0, 2, 3, 1)
+        x_189 = None
+        x_191 = torch.nn.functional.layer_norm(
+            x_190,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_190 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = (None)
+        x_192 = x_191.permute(0, 3, 1, 2)
+        x_191 = None
+        gamma_25 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_103 = x_192 * gamma_25
+        x_192 = gamma_25 = None
+        x_193 = x_184 + mul_103
+        x_184 = mul_103 = None
+        x_194 = torch.conv2d(
+            x_193,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_13 = torch.functional.split(x_194, [768, 768, 5], 1)
+        x_194 = None
+        q_13 = split_13[0]
+        ctx_13 = split_13[1]
+        gates_13 = split_13[2]
+        split_13 = None
+        input_105 = torch.conv2d(
+            ctx_13,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_13 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_106 = torch._C._nn.gelu(input_105, approximate="none")
+        input_105 = None
+        getitem_107 = gates_13[(slice(None, None, None), slice(0, 1, None))]
+        mul_104 = input_106 * getitem_107
+        getitem_107 = None
+        ctx_all_65 = 0 + mul_104
+        mul_104 = None
+        input_107 = torch.conv2d(
+            input_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_106 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_108 = torch._C._nn.gelu(input_107, approximate="none")
+        input_107 = None
+        getitem_108 = gates_13[(slice(None, None, None), slice(1, 2, None))]
+        mul_105 = input_108 * getitem_108
+        getitem_108 = None
+        ctx_all_66 = ctx_all_65 + mul_105
+        ctx_all_65 = mul_105 = None
+        input_109 = torch.conv2d(
+            input_108,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_108 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_110 = torch._C._nn.gelu(input_109, approximate="none")
+        input_109 = None
+        getitem_109 = gates_13[(slice(None, None, None), slice(2, 3, None))]
+        mul_106 = input_110 * getitem_109
+        getitem_109 = None
+        ctx_all_67 = ctx_all_66 + mul_106
+        ctx_all_66 = mul_106 = None
+        input_111 = torch.conv2d(
+            input_110,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_110 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_112 = torch._C._nn.gelu(input_111, approximate="none")
+        input_111 = None
+        getitem_110 = gates_13[(slice(None, None, None), slice(3, 4, None))]
+        mul_107 = input_112 * getitem_110
+        getitem_110 = None
+        ctx_all_68 = ctx_all_67 + mul_107
+        ctx_all_67 = mul_107 = None
+        mean_13 = input_112.mean((2, 3), keepdim=True)
+        input_112 = None
+        ctx_global_13 = torch._C._nn.gelu(mean_13, approximate="none")
+        mean_13 = None
+        getitem_111 = gates_13[(slice(None, None, None), slice(4, None, None))]
+        gates_13 = None
+        mul_108 = ctx_global_13 * getitem_111
+        ctx_global_13 = getitem_111 = None
+        ctx_all_69 = ctx_all_68 + mul_108
+        ctx_all_68 = mul_108 = None
+        conv2d_125 = torch.conv2d(
+            ctx_all_69,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_69 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_39 = q_13 * conv2d_125
+        q_13 = conv2d_125 = None
+        x_out_40 = torch.conv2d(
+            x_out_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_39 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_41 = torch.nn.functional.dropout(x_out_40, 0.0, False, False)
+        x_out_40 = None
+        x_195 = x_out_41.permute(0, 2, 3, 1)
+        x_out_41 = None
+        x_196 = torch.nn.functional.layer_norm(
+            x_195,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_195 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = (None)
+        x_197 = x_196.permute(0, 3, 1, 2)
+        x_196 = None
+        gamma_26 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_110 = x_197 * gamma_26
+        x_197 = gamma_26 = None
+        x_198 = x_193 + mul_110
+        x_193 = mul_110 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_200 = torch._C._nn.gelu(x_199, approximate="none")
+        x_199 = None
+        x_201 = torch.nn.functional.dropout(x_200, 0.0, False, False)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_201 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_203 = torch.nn.functional.dropout(x_202, 0.0, False, False)
+        x_202 = None
+        x_204 = x_203.permute(0, 2, 3, 1)
+        x_203 = None
+        x_205 = torch.nn.functional.layer_norm(
+            x_204,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_204 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = (None)
+        x_206 = x_205.permute(0, 3, 1, 2)
+        x_205 = None
+        gamma_27 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_111 = x_206 * gamma_27
+        x_206 = gamma_27 = None
+        x_207 = x_198 + mul_111
+        x_198 = mul_111 = None
+        x_208 = torch.conv2d(
+            x_207,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_14 = torch.functional.split(x_208, [768, 768, 5], 1)
+        x_208 = None
+        q_14 = split_14[0]
+        ctx_14 = split_14[1]
+        gates_14 = split_14[2]
+        split_14 = None
+        input_113 = torch.conv2d(
+            ctx_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_14 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_114 = torch._C._nn.gelu(input_113, approximate="none")
+        input_113 = None
+        getitem_115 = gates_14[(slice(None, None, None), slice(0, 1, None))]
+        mul_112 = input_114 * getitem_115
+        getitem_115 = None
+        ctx_all_70 = 0 + mul_112
+        mul_112 = None
+        input_115 = torch.conv2d(
+            input_114,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_114 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_116 = torch._C._nn.gelu(input_115, approximate="none")
+        input_115 = None
+        getitem_116 = gates_14[(slice(None, None, None), slice(1, 2, None))]
+        mul_113 = input_116 * getitem_116
+        getitem_116 = None
+        ctx_all_71 = ctx_all_70 + mul_113
+        ctx_all_70 = mul_113 = None
+        input_117 = torch.conv2d(
+            input_116,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_116 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_118 = torch._C._nn.gelu(input_117, approximate="none")
+        input_117 = None
+        getitem_117 = gates_14[(slice(None, None, None), slice(2, 3, None))]
+        mul_114 = input_118 * getitem_117
+        getitem_117 = None
+        ctx_all_72 = ctx_all_71 + mul_114
+        ctx_all_71 = mul_114 = None
+        input_119 = torch.conv2d(
+            input_118,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_118 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_120 = torch._C._nn.gelu(input_119, approximate="none")
+        input_119 = None
+        getitem_118 = gates_14[(slice(None, None, None), slice(3, 4, None))]
+        mul_115 = input_120 * getitem_118
+        getitem_118 = None
+        ctx_all_73 = ctx_all_72 + mul_115
+        ctx_all_72 = mul_115 = None
+        mean_14 = input_120.mean((2, 3), keepdim=True)
+        input_120 = None
+        ctx_global_14 = torch._C._nn.gelu(mean_14, approximate="none")
+        mean_14 = None
+        getitem_119 = gates_14[(slice(None, None, None), slice(4, None, None))]
+        gates_14 = None
+        mul_116 = ctx_global_14 * getitem_119
+        ctx_global_14 = getitem_119 = None
+        ctx_all_74 = ctx_all_73 + mul_116
+        ctx_all_73 = mul_116 = None
+        conv2d_134 = torch.conv2d(
+            ctx_all_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_74 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_42 = q_14 * conv2d_134
+        q_14 = conv2d_134 = None
+        x_out_43 = torch.conv2d(
+            x_out_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_42 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_44 = torch.nn.functional.dropout(x_out_43, 0.0, False, False)
+        x_out_43 = None
+        x_209 = x_out_44.permute(0, 2, 3, 1)
+        x_out_44 = None
+        x_210 = torch.nn.functional.layer_norm(
+            x_209,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_209 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = (None)
+        x_211 = x_210.permute(0, 3, 1, 2)
+        x_210 = None
+        gamma_28 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_118 = x_211 * gamma_28
+        x_211 = gamma_28 = None
+        x_212 = x_207 + mul_118
+        x_207 = mul_118 = None
+        x_213 = torch.conv2d(
+            x_212,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_214 = torch._C._nn.gelu(x_213, approximate="none")
+        x_213 = None
+        x_215 = torch.nn.functional.dropout(x_214, 0.0, False, False)
+        x_214 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_215 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_217 = torch.nn.functional.dropout(x_216, 0.0, False, False)
+        x_216 = None
+        x_218 = x_217.permute(0, 2, 3, 1)
+        x_217 = None
+        x_219 = torch.nn.functional.layer_norm(
+            x_218,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_218 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = (None)
+        x_220 = x_219.permute(0, 3, 1, 2)
+        x_219 = None
+        gamma_29 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_119 = x_220 * gamma_29
+        x_220 = gamma_29 = None
+        x_221 = x_212 + mul_119
+        x_212 = mul_119 = None
+        x_222 = torch.conv2d(
+            x_221,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_15 = torch.functional.split(x_222, [768, 768, 5], 1)
+        x_222 = None
+        q_15 = split_15[0]
+        ctx_15 = split_15[1]
+        gates_15 = split_15[2]
+        split_15 = None
+        input_121 = torch.conv2d(
+            ctx_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_15 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_122 = torch._C._nn.gelu(input_121, approximate="none")
+        input_121 = None
+        getitem_123 = gates_15[(slice(None, None, None), slice(0, 1, None))]
+        mul_120 = input_122 * getitem_123
+        getitem_123 = None
+        ctx_all_75 = 0 + mul_120
+        mul_120 = None
+        input_123 = torch.conv2d(
+            input_122,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_122 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_124 = torch._C._nn.gelu(input_123, approximate="none")
+        input_123 = None
+        getitem_124 = gates_15[(slice(None, None, None), slice(1, 2, None))]
+        mul_121 = input_124 * getitem_124
+        getitem_124 = None
+        ctx_all_76 = ctx_all_75 + mul_121
+        ctx_all_75 = mul_121 = None
+        input_125 = torch.conv2d(
+            input_124,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_124 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_126 = torch._C._nn.gelu(input_125, approximate="none")
+        input_125 = None
+        getitem_125 = gates_15[(slice(None, None, None), slice(2, 3, None))]
+        mul_122 = input_126 * getitem_125
+        getitem_125 = None
+        ctx_all_77 = ctx_all_76 + mul_122
+        ctx_all_76 = mul_122 = None
+        input_127 = torch.conv2d(
+            input_126,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_126 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_128 = torch._C._nn.gelu(input_127, approximate="none")
+        input_127 = None
+        getitem_126 = gates_15[(slice(None, None, None), slice(3, 4, None))]
+        mul_123 = input_128 * getitem_126
+        getitem_126 = None
+        ctx_all_78 = ctx_all_77 + mul_123
+        ctx_all_77 = mul_123 = None
+        mean_15 = input_128.mean((2, 3), keepdim=True)
+        input_128 = None
+        ctx_global_15 = torch._C._nn.gelu(mean_15, approximate="none")
+        mean_15 = None
+        getitem_127 = gates_15[(slice(None, None, None), slice(4, None, None))]
+        gates_15 = None
+        mul_124 = ctx_global_15 * getitem_127
+        ctx_global_15 = getitem_127 = None
+        ctx_all_79 = ctx_all_78 + mul_124
+        ctx_all_78 = mul_124 = None
+        conv2d_143 = torch.conv2d(
+            ctx_all_79,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_79 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_45 = q_15 * conv2d_143
+        q_15 = conv2d_143 = None
+        x_out_46 = torch.conv2d(
+            x_out_45,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_45 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_47 = torch.nn.functional.dropout(x_out_46, 0.0, False, False)
+        x_out_46 = None
+        x_223 = x_out_47.permute(0, 2, 3, 1)
+        x_out_47 = None
+        x_224 = torch.nn.functional.layer_norm(
+            x_223,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_223 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = (None)
+        x_225 = x_224.permute(0, 3, 1, 2)
+        x_224 = None
+        gamma_30 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_126 = x_225 * gamma_30
+        x_225 = gamma_30 = None
+        x_226 = x_221 + mul_126
+        x_221 = mul_126 = None
+        x_227 = torch.conv2d(
+            x_226,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_228 = torch._C._nn.gelu(x_227, approximate="none")
+        x_227 = None
+        x_229 = torch.nn.functional.dropout(x_228, 0.0, False, False)
+        x_228 = None
+        x_230 = torch.conv2d(
+            x_229,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_229 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_231 = torch.nn.functional.dropout(x_230, 0.0, False, False)
+        x_230 = None
+        x_232 = x_231.permute(0, 2, 3, 1)
+        x_231 = None
+        x_233 = torch.nn.functional.layer_norm(
+            x_232,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_232 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = (None)
+        x_234 = x_233.permute(0, 3, 1, 2)
+        x_233 = None
+        gamma_31 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_127 = x_234 * gamma_31
+        x_234 = gamma_31 = None
+        x_235 = x_226 + mul_127
+        x_226 = mul_127 = None
+        x_236 = torch.conv2d(
+            x_235,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_16 = torch.functional.split(x_236, [768, 768, 5], 1)
+        x_236 = None
+        q_16 = split_16[0]
+        ctx_16 = split_16[1]
+        gates_16 = split_16[2]
+        split_16 = None
+        input_129 = torch.conv2d(
+            ctx_16,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_16 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_130 = torch._C._nn.gelu(input_129, approximate="none")
+        input_129 = None
+        getitem_131 = gates_16[(slice(None, None, None), slice(0, 1, None))]
+        mul_128 = input_130 * getitem_131
+        getitem_131 = None
+        ctx_all_80 = 0 + mul_128
+        mul_128 = None
+        input_131 = torch.conv2d(
+            input_130,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_130 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_132 = torch._C._nn.gelu(input_131, approximate="none")
+        input_131 = None
+        getitem_132 = gates_16[(slice(None, None, None), slice(1, 2, None))]
+        mul_129 = input_132 * getitem_132
+        getitem_132 = None
+        ctx_all_81 = ctx_all_80 + mul_129
+        ctx_all_80 = mul_129 = None
+        input_133 = torch.conv2d(
+            input_132,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_132 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_134 = torch._C._nn.gelu(input_133, approximate="none")
+        input_133 = None
+        getitem_133 = gates_16[(slice(None, None, None), slice(2, 3, None))]
+        mul_130 = input_134 * getitem_133
+        getitem_133 = None
+        ctx_all_82 = ctx_all_81 + mul_130
+        ctx_all_81 = mul_130 = None
+        input_135 = torch.conv2d(
+            input_134,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_134 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_136 = torch._C._nn.gelu(input_135, approximate="none")
+        input_135 = None
+        getitem_134 = gates_16[(slice(None, None, None), slice(3, 4, None))]
+        mul_131 = input_136 * getitem_134
+        getitem_134 = None
+        ctx_all_83 = ctx_all_82 + mul_131
+        ctx_all_82 = mul_131 = None
+        mean_16 = input_136.mean((2, 3), keepdim=True)
+        input_136 = None
+        ctx_global_16 = torch._C._nn.gelu(mean_16, approximate="none")
+        mean_16 = None
+        getitem_135 = gates_16[(slice(None, None, None), slice(4, None, None))]
+        gates_16 = None
+        mul_132 = ctx_global_16 * getitem_135
+        ctx_global_16 = getitem_135 = None
+        ctx_all_84 = ctx_all_83 + mul_132
+        ctx_all_83 = mul_132 = None
+        conv2d_152 = torch.conv2d(
+            ctx_all_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_84 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_48 = q_16 * conv2d_152
+        q_16 = conv2d_152 = None
+        x_out_49 = torch.conv2d(
+            x_out_48,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_48 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_50 = torch.nn.functional.dropout(x_out_49, 0.0, False, False)
+        x_out_49 = None
+        x_237 = x_out_50.permute(0, 2, 3, 1)
+        x_out_50 = None
+        x_238 = torch.nn.functional.layer_norm(
+            x_237,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_237 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = (None)
+        x_239 = x_238.permute(0, 3, 1, 2)
+        x_238 = None
+        gamma_32 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_134 = x_239 * gamma_32
+        x_239 = gamma_32 = None
+        x_240 = x_235 + mul_134
+        x_235 = mul_134 = None
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_242 = torch._C._nn.gelu(x_241, approximate="none")
+        x_241 = None
+        x_243 = torch.nn.functional.dropout(x_242, 0.0, False, False)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_243 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_245 = torch.nn.functional.dropout(x_244, 0.0, False, False)
+        x_244 = None
+        x_246 = x_245.permute(0, 2, 3, 1)
+        x_245 = None
+        x_247 = torch.nn.functional.layer_norm(
+            x_246,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_246 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = (None)
+        x_248 = x_247.permute(0, 3, 1, 2)
+        x_247 = None
+        gamma_33 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_135 = x_248 * gamma_33
+        x_248 = gamma_33 = None
+        x_249 = x_240 + mul_135
+        x_240 = mul_135 = None
+        x_250 = torch.conv2d(
+            x_249,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_17 = torch.functional.split(x_250, [768, 768, 5], 1)
+        x_250 = None
+        q_17 = split_17[0]
+        ctx_17 = split_17[1]
+        gates_17 = split_17[2]
+        split_17 = None
+        input_137 = torch.conv2d(
+            ctx_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_17 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_138 = torch._C._nn.gelu(input_137, approximate="none")
+        input_137 = None
+        getitem_139 = gates_17[(slice(None, None, None), slice(0, 1, None))]
+        mul_136 = input_138 * getitem_139
+        getitem_139 = None
+        ctx_all_85 = 0 + mul_136
+        mul_136 = None
+        input_139 = torch.conv2d(
+            input_138,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_138 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_140 = torch._C._nn.gelu(input_139, approximate="none")
+        input_139 = None
+        getitem_140 = gates_17[(slice(None, None, None), slice(1, 2, None))]
+        mul_137 = input_140 * getitem_140
+        getitem_140 = None
+        ctx_all_86 = ctx_all_85 + mul_137
+        ctx_all_85 = mul_137 = None
+        input_141 = torch.conv2d(
+            input_140,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_140 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_142 = torch._C._nn.gelu(input_141, approximate="none")
+        input_141 = None
+        getitem_141 = gates_17[(slice(None, None, None), slice(2, 3, None))]
+        mul_138 = input_142 * getitem_141
+        getitem_141 = None
+        ctx_all_87 = ctx_all_86 + mul_138
+        ctx_all_86 = mul_138 = None
+        input_143 = torch.conv2d(
+            input_142,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_142 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_144 = torch._C._nn.gelu(input_143, approximate="none")
+        input_143 = None
+        getitem_142 = gates_17[(slice(None, None, None), slice(3, 4, None))]
+        mul_139 = input_144 * getitem_142
+        getitem_142 = None
+        ctx_all_88 = ctx_all_87 + mul_139
+        ctx_all_87 = mul_139 = None
+        mean_17 = input_144.mean((2, 3), keepdim=True)
+        input_144 = None
+        ctx_global_17 = torch._C._nn.gelu(mean_17, approximate="none")
+        mean_17 = None
+        getitem_143 = gates_17[(slice(None, None, None), slice(4, None, None))]
+        gates_17 = None
+        mul_140 = ctx_global_17 * getitem_143
+        ctx_global_17 = getitem_143 = None
+        ctx_all_89 = ctx_all_88 + mul_140
+        ctx_all_88 = mul_140 = None
+        conv2d_161 = torch.conv2d(
+            ctx_all_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_89 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_51 = q_17 * conv2d_161
+        q_17 = conv2d_161 = None
+        x_out_52 = torch.conv2d(
+            x_out_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_51 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_53 = torch.nn.functional.dropout(x_out_52, 0.0, False, False)
+        x_out_52 = None
+        x_251 = x_out_53.permute(0, 2, 3, 1)
+        x_out_53 = None
+        x_252 = torch.nn.functional.layer_norm(
+            x_251,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_251 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = (None)
+        x_253 = x_252.permute(0, 3, 1, 2)
+        x_252 = None
+        gamma_34 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_142 = x_253 * gamma_34
+        x_253 = gamma_34 = None
+        x_254 = x_249 + mul_142
+        x_249 = mul_142 = None
+        x_255 = torch.conv2d(
+            x_254,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_256 = torch._C._nn.gelu(x_255, approximate="none")
+        x_255 = None
+        x_257 = torch.nn.functional.dropout(x_256, 0.0, False, False)
+        x_256 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_257 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_259 = torch.nn.functional.dropout(x_258, 0.0, False, False)
+        x_258 = None
+        x_260 = x_259.permute(0, 2, 3, 1)
+        x_259 = None
+        x_261 = torch.nn.functional.layer_norm(
+            x_260,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_260 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = (None)
+        x_262 = x_261.permute(0, 3, 1, 2)
+        x_261 = None
+        gamma_35 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_143 = x_262 * gamma_35
+        x_262 = gamma_35 = None
+        x_263 = x_254 + mul_143
+        x_254 = mul_143 = None
+        x_264 = torch.conv2d(
+            x_263,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_18 = torch.functional.split(x_264, [768, 768, 5], 1)
+        x_264 = None
+        q_18 = split_18[0]
+        ctx_18 = split_18[1]
+        gates_18 = split_18[2]
+        split_18 = None
+        input_145 = torch.conv2d(
+            ctx_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_18 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_146 = torch._C._nn.gelu(input_145, approximate="none")
+        input_145 = None
+        getitem_147 = gates_18[(slice(None, None, None), slice(0, 1, None))]
+        mul_144 = input_146 * getitem_147
+        getitem_147 = None
+        ctx_all_90 = 0 + mul_144
+        mul_144 = None
+        input_147 = torch.conv2d(
+            input_146,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_146 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_148 = torch._C._nn.gelu(input_147, approximate="none")
+        input_147 = None
+        getitem_148 = gates_18[(slice(None, None, None), slice(1, 2, None))]
+        mul_145 = input_148 * getitem_148
+        getitem_148 = None
+        ctx_all_91 = ctx_all_90 + mul_145
+        ctx_all_90 = mul_145 = None
+        input_149 = torch.conv2d(
+            input_148,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_148 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_150 = torch._C._nn.gelu(input_149, approximate="none")
+        input_149 = None
+        getitem_149 = gates_18[(slice(None, None, None), slice(2, 3, None))]
+        mul_146 = input_150 * getitem_149
+        getitem_149 = None
+        ctx_all_92 = ctx_all_91 + mul_146
+        ctx_all_91 = mul_146 = None
+        input_151 = torch.conv2d(
+            input_150,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_150 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_152 = torch._C._nn.gelu(input_151, approximate="none")
+        input_151 = None
+        getitem_150 = gates_18[(slice(None, None, None), slice(3, 4, None))]
+        mul_147 = input_152 * getitem_150
+        getitem_150 = None
+        ctx_all_93 = ctx_all_92 + mul_147
+        ctx_all_92 = mul_147 = None
+        mean_18 = input_152.mean((2, 3), keepdim=True)
+        input_152 = None
+        ctx_global_18 = torch._C._nn.gelu(mean_18, approximate="none")
+        mean_18 = None
+        getitem_151 = gates_18[(slice(None, None, None), slice(4, None, None))]
+        gates_18 = None
+        mul_148 = ctx_global_18 * getitem_151
+        ctx_global_18 = getitem_151 = None
+        ctx_all_94 = ctx_all_93 + mul_148
+        ctx_all_93 = mul_148 = None
+        conv2d_170 = torch.conv2d(
+            ctx_all_94,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_94 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_54 = q_18 * conv2d_170
+        q_18 = conv2d_170 = None
+        x_out_55 = torch.conv2d(
+            x_out_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_54 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_56 = torch.nn.functional.dropout(x_out_55, 0.0, False, False)
+        x_out_55 = None
+        x_265 = x_out_56.permute(0, 2, 3, 1)
+        x_out_56 = None
+        x_266 = torch.nn.functional.layer_norm(
+            x_265,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_265 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = (None)
+        x_267 = x_266.permute(0, 3, 1, 2)
+        x_266 = None
+        gamma_36 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_150 = x_267 * gamma_36
+        x_267 = gamma_36 = None
+        x_268 = x_263 + mul_150
+        x_263 = mul_150 = None
+        x_269 = torch.conv2d(
+            x_268,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_270 = torch._C._nn.gelu(x_269, approximate="none")
+        x_269 = None
+        x_271 = torch.nn.functional.dropout(x_270, 0.0, False, False)
+        x_270 = None
+        x_272 = torch.conv2d(
+            x_271,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_271 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_273 = torch.nn.functional.dropout(x_272, 0.0, False, False)
+        x_272 = None
+        x_274 = x_273.permute(0, 2, 3, 1)
+        x_273 = None
+        x_275 = torch.nn.functional.layer_norm(
+            x_274,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_274 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = (None)
+        x_276 = x_275.permute(0, 3, 1, 2)
+        x_275 = None
+        gamma_37 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_151 = x_276 * gamma_37
+        x_276 = gamma_37 = None
+        x_277 = x_268 + mul_151
+        x_268 = mul_151 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_19 = torch.functional.split(x_278, [768, 768, 5], 1)
+        x_278 = None
+        q_19 = split_19[0]
+        ctx_19 = split_19[1]
+        gates_19 = split_19[2]
+        split_19 = None
+        input_153 = torch.conv2d(
+            ctx_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_19 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_154 = torch._C._nn.gelu(input_153, approximate="none")
+        input_153 = None
+        getitem_155 = gates_19[(slice(None, None, None), slice(0, 1, None))]
+        mul_152 = input_154 * getitem_155
+        getitem_155 = None
+        ctx_all_95 = 0 + mul_152
+        mul_152 = None
+        input_155 = torch.conv2d(
+            input_154,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_154 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_156 = torch._C._nn.gelu(input_155, approximate="none")
+        input_155 = None
+        getitem_156 = gates_19[(slice(None, None, None), slice(1, 2, None))]
+        mul_153 = input_156 * getitem_156
+        getitem_156 = None
+        ctx_all_96 = ctx_all_95 + mul_153
+        ctx_all_95 = mul_153 = None
+        input_157 = torch.conv2d(
+            input_156,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_156 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_158 = torch._C._nn.gelu(input_157, approximate="none")
+        input_157 = None
+        getitem_157 = gates_19[(slice(None, None, None), slice(2, 3, None))]
+        mul_154 = input_158 * getitem_157
+        getitem_157 = None
+        ctx_all_97 = ctx_all_96 + mul_154
+        ctx_all_96 = mul_154 = None
+        input_159 = torch.conv2d(
+            input_158,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_158 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_160 = torch._C._nn.gelu(input_159, approximate="none")
+        input_159 = None
+        getitem_158 = gates_19[(slice(None, None, None), slice(3, 4, None))]
+        mul_155 = input_160 * getitem_158
+        getitem_158 = None
+        ctx_all_98 = ctx_all_97 + mul_155
+        ctx_all_97 = mul_155 = None
+        mean_19 = input_160.mean((2, 3), keepdim=True)
+        input_160 = None
+        ctx_global_19 = torch._C._nn.gelu(mean_19, approximate="none")
+        mean_19 = None
+        getitem_159 = gates_19[(slice(None, None, None), slice(4, None, None))]
+        gates_19 = None
+        mul_156 = ctx_global_19 * getitem_159
+        ctx_global_19 = getitem_159 = None
+        ctx_all_99 = ctx_all_98 + mul_156
+        ctx_all_98 = mul_156 = None
+        conv2d_179 = torch.conv2d(
+            ctx_all_99,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_99 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_57 = q_19 * conv2d_179
+        q_19 = conv2d_179 = None
+        x_out_58 = torch.conv2d(
+            x_out_57,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_57 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_59 = torch.nn.functional.dropout(x_out_58, 0.0, False, False)
+        x_out_58 = None
+        x_279 = x_out_59.permute(0, 2, 3, 1)
+        x_out_59 = None
+        x_280 = torch.nn.functional.layer_norm(
+            x_279,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_279 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = (None)
+        x_281 = x_280.permute(0, 3, 1, 2)
+        x_280 = None
+        gamma_38 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_158 = x_281 * gamma_38
+        x_281 = gamma_38 = None
+        x_282 = x_277 + mul_158
+        x_277 = mul_158 = None
+        x_283 = torch.conv2d(
+            x_282,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_284 = torch._C._nn.gelu(x_283, approximate="none")
+        x_283 = None
+        x_285 = torch.nn.functional.dropout(x_284, 0.0, False, False)
+        x_284 = None
+        x_286 = torch.conv2d(
+            x_285,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_285 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_287 = torch.nn.functional.dropout(x_286, 0.0, False, False)
+        x_286 = None
+        x_288 = x_287.permute(0, 2, 3, 1)
+        x_287 = None
+        x_289 = torch.nn.functional.layer_norm(
+            x_288,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_288 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = (None)
+        x_290 = x_289.permute(0, 3, 1, 2)
+        x_289 = None
+        gamma_39 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_159 = x_290 * gamma_39
+        x_290 = gamma_39 = None
+        x_291 = x_282 + mul_159
+        x_282 = mul_159 = None
+        x_292 = torch.conv2d(
+            x_291,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_20 = torch.functional.split(x_292, [768, 768, 5], 1)
+        x_292 = None
+        q_20 = split_20[0]
+        ctx_20 = split_20[1]
+        gates_20 = split_20[2]
+        split_20 = None
+        input_161 = torch.conv2d(
+            ctx_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_20 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_162 = torch._C._nn.gelu(input_161, approximate="none")
+        input_161 = None
+        getitem_163 = gates_20[(slice(None, None, None), slice(0, 1, None))]
+        mul_160 = input_162 * getitem_163
+        getitem_163 = None
+        ctx_all_100 = 0 + mul_160
+        mul_160 = None
+        input_163 = torch.conv2d(
+            input_162,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_162 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_164 = torch._C._nn.gelu(input_163, approximate="none")
+        input_163 = None
+        getitem_164 = gates_20[(slice(None, None, None), slice(1, 2, None))]
+        mul_161 = input_164 * getitem_164
+        getitem_164 = None
+        ctx_all_101 = ctx_all_100 + mul_161
+        ctx_all_100 = mul_161 = None
+        input_165 = torch.conv2d(
+            input_164,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_164 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_166 = torch._C._nn.gelu(input_165, approximate="none")
+        input_165 = None
+        getitem_165 = gates_20[(slice(None, None, None), slice(2, 3, None))]
+        mul_162 = input_166 * getitem_165
+        getitem_165 = None
+        ctx_all_102 = ctx_all_101 + mul_162
+        ctx_all_101 = mul_162 = None
+        input_167 = torch.conv2d(
+            input_166,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_166 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_168 = torch._C._nn.gelu(input_167, approximate="none")
+        input_167 = None
+        getitem_166 = gates_20[(slice(None, None, None), slice(3, 4, None))]
+        mul_163 = input_168 * getitem_166
+        getitem_166 = None
+        ctx_all_103 = ctx_all_102 + mul_163
+        ctx_all_102 = mul_163 = None
+        mean_20 = input_168.mean((2, 3), keepdim=True)
+        input_168 = None
+        ctx_global_20 = torch._C._nn.gelu(mean_20, approximate="none")
+        mean_20 = None
+        getitem_167 = gates_20[(slice(None, None, None), slice(4, None, None))]
+        gates_20 = None
+        mul_164 = ctx_global_20 * getitem_167
+        ctx_global_20 = getitem_167 = None
+        ctx_all_104 = ctx_all_103 + mul_164
+        ctx_all_103 = mul_164 = None
+        conv2d_188 = torch.conv2d(
+            ctx_all_104,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_104 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_60 = q_20 * conv2d_188
+        q_20 = conv2d_188 = None
+        x_out_61 = torch.conv2d(
+            x_out_60,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_60 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_62 = torch.nn.functional.dropout(x_out_61, 0.0, False, False)
+        x_out_61 = None
+        x_293 = x_out_62.permute(0, 2, 3, 1)
+        x_out_62 = None
+        x_294 = torch.nn.functional.layer_norm(
+            x_293,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_293 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = (None)
+        x_295 = x_294.permute(0, 3, 1, 2)
+        x_294 = None
+        gamma_40 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_166 = x_295 * gamma_40
+        x_295 = gamma_40 = None
+        x_296 = x_291 + mul_166
+        x_291 = mul_166 = None
+        x_297 = torch.conv2d(
+            x_296,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_298 = torch._C._nn.gelu(x_297, approximate="none")
+        x_297 = None
+        x_299 = torch.nn.functional.dropout(x_298, 0.0, False, False)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_299 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_301 = torch.nn.functional.dropout(x_300, 0.0, False, False)
+        x_300 = None
+        x_302 = x_301.permute(0, 2, 3, 1)
+        x_301 = None
+        x_303 = torch.nn.functional.layer_norm(
+            x_302,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_302 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = (None)
+        x_304 = x_303.permute(0, 3, 1, 2)
+        x_303 = None
+        gamma_41 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_167 = x_304 * gamma_41
+        x_304 = gamma_41 = None
+        x_305 = x_296 + mul_167
+        x_296 = mul_167 = None
+        x_306 = torch.conv2d(
+            x_305,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_21 = torch.functional.split(x_306, [768, 768, 5], 1)
+        x_306 = None
+        q_21 = split_21[0]
+        ctx_21 = split_21[1]
+        gates_21 = split_21[2]
+        split_21 = None
+        input_169 = torch.conv2d(
+            ctx_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_21 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_170 = torch._C._nn.gelu(input_169, approximate="none")
+        input_169 = None
+        getitem_171 = gates_21[(slice(None, None, None), slice(0, 1, None))]
+        mul_168 = input_170 * getitem_171
+        getitem_171 = None
+        ctx_all_105 = 0 + mul_168
+        mul_168 = None
+        input_171 = torch.conv2d(
+            input_170,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_170 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_172 = torch._C._nn.gelu(input_171, approximate="none")
+        input_171 = None
+        getitem_172 = gates_21[(slice(None, None, None), slice(1, 2, None))]
+        mul_169 = input_172 * getitem_172
+        getitem_172 = None
+        ctx_all_106 = ctx_all_105 + mul_169
+        ctx_all_105 = mul_169 = None
+        input_173 = torch.conv2d(
+            input_172,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_172 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_174 = torch._C._nn.gelu(input_173, approximate="none")
+        input_173 = None
+        getitem_173 = gates_21[(slice(None, None, None), slice(2, 3, None))]
+        mul_170 = input_174 * getitem_173
+        getitem_173 = None
+        ctx_all_107 = ctx_all_106 + mul_170
+        ctx_all_106 = mul_170 = None
+        input_175 = torch.conv2d(
+            input_174,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            768,
+        )
+        input_174 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_176 = torch._C._nn.gelu(input_175, approximate="none")
+        input_175 = None
+        getitem_174 = gates_21[(slice(None, None, None), slice(3, 4, None))]
+        mul_171 = input_176 * getitem_174
+        getitem_174 = None
+        ctx_all_108 = ctx_all_107 + mul_171
+        ctx_all_107 = mul_171 = None
+        mean_21 = input_176.mean((2, 3), keepdim=True)
+        input_176 = None
+        ctx_global_21 = torch._C._nn.gelu(mean_21, approximate="none")
+        mean_21 = None
+        getitem_175 = gates_21[(slice(None, None, None), slice(4, None, None))]
+        gates_21 = None
+        mul_172 = ctx_global_21 * getitem_175
+        ctx_global_21 = getitem_175 = None
+        ctx_all_109 = ctx_all_108 + mul_172
+        ctx_all_108 = mul_172 = None
+        conv2d_197 = torch.conv2d(
+            ctx_all_109,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_109 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_63 = q_21 * conv2d_197
+        q_21 = conv2d_197 = None
+        x_out_64 = torch.conv2d(
+            x_out_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_63 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_65 = torch.nn.functional.dropout(x_out_64, 0.0, False, False)
+        x_out_64 = None
+        x_307 = x_out_65.permute(0, 2, 3, 1)
+        x_out_65 = None
+        x_308 = torch.nn.functional.layer_norm(
+            x_307,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_307 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = (None)
+        x_309 = x_308.permute(0, 3, 1, 2)
+        x_308 = None
+        gamma_42 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_174 = x_309 * gamma_42
+        x_309 = gamma_42 = None
+        x_310 = x_305 + mul_174
+        x_305 = mul_174 = None
+        x_311 = torch.conv2d(
+            x_310,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_312 = torch._C._nn.gelu(x_311, approximate="none")
+        x_311 = None
+        x_313 = torch.nn.functional.dropout(x_312, 0.0, False, False)
+        x_312 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_315 = torch.nn.functional.dropout(x_314, 0.0, False, False)
+        x_314 = None
+        x_316 = x_315.permute(0, 2, 3, 1)
+        x_315 = None
+        x_317 = torch.nn.functional.layer_norm(
+            x_316,
+            (768,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_316 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = (None)
+        x_318 = x_317.permute(0, 3, 1, 2)
+        x_317 = None
+        gamma_43 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_175 = x_318 * gamma_43
+        x_318 = gamma_43 = None
+        x_319 = x_310 + mul_175
+        x_310 = mul_175 = None
+        x_320 = torch.conv2d(
+            x_319,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_319 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_321 = x_320.permute(0, 2, 3, 1)
+        x_320 = None
+        x_322 = torch.nn.functional.layer_norm(
+            x_321,
+            (1536,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_321 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_323 = x_322.permute(0, 3, 1, 2)
+        x_322 = None
+        x_324 = torch.conv2d(
+            x_323,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_22 = torch.functional.split(x_324, [1536, 1536, 5], 1)
+        x_324 = None
+        q_22 = split_22[0]
+        ctx_22 = split_22[1]
+        gates_22 = split_22[2]
+        split_22 = None
+        input_177 = torch.conv2d(
+            ctx_22,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1536,
+        )
+        ctx_22 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_178 = torch._C._nn.gelu(input_177, approximate="none")
+        input_177 = None
+        getitem_179 = gates_22[(slice(None, None, None), slice(0, 1, None))]
+        mul_176 = input_178 * getitem_179
+        getitem_179 = None
+        ctx_all_110 = 0 + mul_176
+        mul_176 = None
+        input_179 = torch.conv2d(
+            input_178,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1536,
+        )
+        input_178 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_180 = torch._C._nn.gelu(input_179, approximate="none")
+        input_179 = None
+        getitem_180 = gates_22[(slice(None, None, None), slice(1, 2, None))]
+        mul_177 = input_180 * getitem_180
+        getitem_180 = None
+        ctx_all_111 = ctx_all_110 + mul_177
+        ctx_all_110 = mul_177 = None
+        input_181 = torch.conv2d(
+            input_180,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1536,
+        )
+        input_180 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_182 = torch._C._nn.gelu(input_181, approximate="none")
+        input_181 = None
+        getitem_181 = gates_22[(slice(None, None, None), slice(2, 3, None))]
+        mul_178 = input_182 * getitem_181
+        getitem_181 = None
+        ctx_all_112 = ctx_all_111 + mul_178
+        ctx_all_111 = mul_178 = None
+        input_183 = torch.conv2d(
+            input_182,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1536,
+        )
+        input_182 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_184 = torch._C._nn.gelu(input_183, approximate="none")
+        input_183 = None
+        getitem_182 = gates_22[(slice(None, None, None), slice(3, 4, None))]
+        mul_179 = input_184 * getitem_182
+        getitem_182 = None
+        ctx_all_113 = ctx_all_112 + mul_179
+        ctx_all_112 = mul_179 = None
+        mean_22 = input_184.mean((2, 3), keepdim=True)
+        input_184 = None
+        ctx_global_22 = torch._C._nn.gelu(mean_22, approximate="none")
+        mean_22 = None
+        getitem_183 = gates_22[(slice(None, None, None), slice(4, None, None))]
+        gates_22 = None
+        mul_180 = ctx_global_22 * getitem_183
+        ctx_global_22 = getitem_183 = None
+        ctx_all_114 = ctx_all_113 + mul_180
+        ctx_all_113 = mul_180 = None
+        conv2d_207 = torch.conv2d(
+            ctx_all_114,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_114 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_66 = q_22 * conv2d_207
+        q_22 = conv2d_207 = None
+        x_out_67 = torch.conv2d(
+            x_out_66,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_66 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_68 = torch.nn.functional.dropout(x_out_67, 0.0, False, False)
+        x_out_67 = None
+        x_325 = x_out_68.permute(0, 2, 3, 1)
+        x_out_68 = None
+        x_326 = torch.nn.functional.layer_norm(
+            x_325,
+            (1536,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_325 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_327 = x_326.permute(0, 3, 1, 2)
+        x_326 = None
+        gamma_44 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_182 = x_327 * gamma_44
+        x_327 = gamma_44 = None
+        x_328 = x_323 + mul_182
+        x_323 = mul_182 = None
+        x_329 = torch.conv2d(
+            x_328,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_330 = torch._C._nn.gelu(x_329, approximate="none")
+        x_329 = None
+        x_331 = torch.nn.functional.dropout(x_330, 0.0, False, False)
+        x_330 = None
+        x_332 = torch.conv2d(
+            x_331,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_331 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_333 = torch.nn.functional.dropout(x_332, 0.0, False, False)
+        x_332 = None
+        x_334 = x_333.permute(0, 2, 3, 1)
+        x_333 = None
+        x_335 = torch.nn.functional.layer_norm(
+            x_334,
+            (1536,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_334 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_336 = x_335.permute(0, 3, 1, 2)
+        x_335 = None
+        gamma_45 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_183 = x_336 * gamma_45
+        x_336 = gamma_45 = None
+        x_337 = x_328 + mul_183
+        x_328 = mul_183 = None
+        x_338 = torch.conv2d(
+            x_337,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_23 = torch.functional.split(x_338, [1536, 1536, 5], 1)
+        x_338 = None
+        q_23 = split_23[0]
+        ctx_23 = split_23[1]
+        gates_23 = split_23[2]
+        split_23 = None
+        input_185 = torch.conv2d(
+            ctx_23,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1536,
+        )
+        ctx_23 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_186 = torch._C._nn.gelu(input_185, approximate="none")
+        input_185 = None
+        getitem_187 = gates_23[(slice(None, None, None), slice(0, 1, None))]
+        mul_184 = input_186 * getitem_187
+        getitem_187 = None
+        ctx_all_115 = 0 + mul_184
+        mul_184 = None
+        input_187 = torch.conv2d(
+            input_186,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1536,
+        )
+        input_186 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_188 = torch._C._nn.gelu(input_187, approximate="none")
+        input_187 = None
+        getitem_188 = gates_23[(slice(None, None, None), slice(1, 2, None))]
+        mul_185 = input_188 * getitem_188
+        getitem_188 = None
+        ctx_all_116 = ctx_all_115 + mul_185
+        ctx_all_115 = mul_185 = None
+        input_189 = torch.conv2d(
+            input_188,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1536,
+        )
+        input_188 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_190 = torch._C._nn.gelu(input_189, approximate="none")
+        input_189 = None
+        getitem_189 = gates_23[(slice(None, None, None), slice(2, 3, None))]
+        mul_186 = input_190 * getitem_189
+        getitem_189 = None
+        ctx_all_117 = ctx_all_116 + mul_186
+        ctx_all_116 = mul_186 = None
+        input_191 = torch.conv2d(
+            input_190,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1536,
+        )
+        input_190 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_192 = torch._C._nn.gelu(input_191, approximate="none")
+        input_191 = None
+        getitem_190 = gates_23[(slice(None, None, None), slice(3, 4, None))]
+        mul_187 = input_192 * getitem_190
+        getitem_190 = None
+        ctx_all_118 = ctx_all_117 + mul_187
+        ctx_all_117 = mul_187 = None
+        mean_23 = input_192.mean((2, 3), keepdim=True)
+        input_192 = None
+        ctx_global_23 = torch._C._nn.gelu(mean_23, approximate="none")
+        mean_23 = None
+        getitem_191 = gates_23[(slice(None, None, None), slice(4, None, None))]
+        gates_23 = None
+        mul_188 = ctx_global_23 * getitem_191
+        ctx_global_23 = getitem_191 = None
+        ctx_all_119 = ctx_all_118 + mul_188
+        ctx_all_118 = mul_188 = None
+        conv2d_216 = torch.conv2d(
+            ctx_all_119,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_119 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_69 = q_23 * conv2d_216
+        q_23 = conv2d_216 = None
+        x_out_70 = torch.conv2d(
+            x_out_69,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_69 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_71 = torch.nn.functional.dropout(x_out_70, 0.0, False, False)
+        x_out_70 = None
+        x_339 = x_out_71.permute(0, 2, 3, 1)
+        x_out_71 = None
+        x_340 = torch.nn.functional.layer_norm(
+            x_339,
+            (1536,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_339 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_341 = x_340.permute(0, 3, 1, 2)
+        x_340 = None
+        gamma_46 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_190 = x_341 * gamma_46
+        x_341 = gamma_46 = None
+        x_342 = x_337 + mul_190
+        x_337 = mul_190 = None
+        x_343 = torch.conv2d(
+            x_342,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_344 = torch._C._nn.gelu(x_343, approximate="none")
+        x_343 = None
+        x_345 = torch.nn.functional.dropout(x_344, 0.0, False, False)
+        x_344 = None
+        x_346 = torch.conv2d(
+            x_345,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_345 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_347 = torch.nn.functional.dropout(x_346, 0.0, False, False)
+        x_346 = None
+        x_348 = x_347.permute(0, 2, 3, 1)
+        x_347 = None
+        x_349 = torch.nn.functional.layer_norm(
+            x_348,
+            (1536,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_348 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_350 = x_349.permute(0, 3, 1, 2)
+        x_349 = None
+        gamma_47 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_191 = x_350 * gamma_47
+        x_350 = gamma_47 = None
+        x_351 = x_342 + mul_191
+        x_342 = mul_191 = None
+        x_352 = x_351.permute(0, 2, 3, 1)
+        x_351 = None
+        x_353 = torch.nn.functional.layer_norm(
+            x_352,
+            (1536,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_352 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_354 = x_353.permute(0, 3, 1, 2)
+        x_353 = None
+        x_355 = torch.nn.functional.adaptive_avg_pool2d(x_354, 1)
+        x_354 = None
+        x_356 = x_355.flatten(1, -1)
+        x_355 = None
+        x_357 = torch.nn.functional.dropout(x_356, 0.0, False, False)
+        x_356 = None
+        x_358 = torch._C._nn.linear(
+            x_357,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_357 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_358,)
diff --git a/samples/timm/focalnet_large_fl4.ms_in22k/weight_meta.py b/samples/timm/focalnet_large_fl4.ms_in22k/weight_meta.py
new file mode 100644
index 000000000..5cd47c3ba
--- /dev/null
+++ b/samples/timm/focalnet_large_fl4.ms_in22k/weight_meta.py
@@ -0,0 +1,5018 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [192, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.227
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [389, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [389]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [192, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [389, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [389]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [192, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [384, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [773, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [773]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [384, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [773, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [773]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [384, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [768, 384, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_"
+    shape = [1541, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_"
+    shape = [1541]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [768, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [1536, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [3077, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [3077]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1536, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1536, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1536, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1536, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [1536, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1536, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1536, 6144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [3077, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [3077]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1536, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1536, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1536, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1536, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [1536, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1536, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [6144, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [6144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1536, 6144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [21842, 1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [21842]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_small_lrf.ms_in1k/graph_hash.txt b/samples/timm/focalnet_small_lrf.ms_in1k/graph_hash.txt
new file mode 100644
index 000000000..ff46c38e1
--- /dev/null
+++ b/samples/timm/focalnet_small_lrf.ms_in1k/graph_hash.txt
@@ -0,0 +1 @@
+db8de274748ce5422ea463c8cb17d756fedef6c2e076306abff4e0732415deae
\ No newline at end of file
diff --git a/samples/timm/focalnet_small_lrf.ms_in1k/graph_net.json b/samples/timm/focalnet_small_lrf.ms_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_small_lrf.ms_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_small_lrf.ms_in1k/input_meta.py b/samples/timm/focalnet_small_lrf.ms_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_small_lrf.ms_in1k/input_tensor_constraints.py b/samples/timm/focalnet_small_lrf.ms_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_small_lrf.ms_in1k/model.py b/samples/timm/focalnet_small_lrf.ms_in1k/model.py
new file mode 100644
index 000000000..981079411
--- /dev/null
+++ b/samples/timm/focalnet_small_lrf.ms_in1k/model.py
@@ -0,0 +1,4671 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (96,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = x_3.permute(0, 2, 3, 1)
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_6 = x_5.permute(0, 3, 1, 2)
+        x_5 = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_7, [96, 96, 4], 1)
+        x_7 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        input_5 = torch.conv2d(
+            input_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            96,
+        )
+        input_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, 3, None))]
+        mul_2 = input_6 * getitem_5
+        getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        mean = input_6.mean((2, 3), keepdim=True)
+        input_6 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_6 = gates[(slice(None, None, None), slice(3, None, None))]
+        gates = None
+        mul_3 = ctx_global * getitem_6
+        ctx_global = getitem_6 = None
+        ctx_all_3 = ctx_all_2 + mul_3
+        ctx_all_2 = mul_3 = None
+        conv2d_5 = torch.conv2d(
+            ctx_all_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_3 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_5
+        q = conv2d_5 = None
+        x_out_1 = torch.conv2d(
+            x_out,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_8 = x_3 + x_out_2
+        x_3 = x_out_2 = None
+        x_9 = x_8.permute(0, 2, 3, 1)
+        x_10 = torch.nn.functional.layer_norm(
+            x_9,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_9 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_11 = x_10.permute(0, 3, 1, 2)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_13 = torch._C._nn.gelu(x_12, approximate="none")
+        x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_8 + x_16
+        x_8 = x_16 = None
+        x_18 = x_17.permute(0, 2, 3, 1)
+        x_19 = torch.nn.functional.layer_norm(
+            x_18,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_18 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_20 = x_19.permute(0, 3, 1, 2)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_21, [96, 96, 4], 1)
+        x_21 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_7 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_10 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_5 = input_8 * getitem_10
+        getitem_10 = None
+        ctx_all_4 = 0 + mul_5
+        mul_5 = None
+        input_9 = torch.conv2d(
+            input_8,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        input_8 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_6 = input_10 * getitem_11
+        getitem_11 = None
+        ctx_all_5 = ctx_all_4 + mul_6
+        ctx_all_4 = mul_6 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            96,
+        )
+        input_10 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_12 = gates_1[(slice(None, None, None), slice(2, 3, None))]
+        mul_7 = input_12 * getitem_12
+        getitem_12 = None
+        ctx_all_6 = ctx_all_5 + mul_7
+        ctx_all_5 = mul_7 = None
+        mean_1 = input_12.mean((2, 3), keepdim=True)
+        input_12 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_13 = gates_1[(slice(None, None, None), slice(3, None, None))]
+        gates_1 = None
+        mul_8 = ctx_global_1 * getitem_13
+        ctx_global_1 = getitem_13 = None
+        ctx_all_7 = ctx_all_6 + mul_8
+        ctx_all_6 = mul_8 = None
+        conv2d_13 = torch.conv2d(
+            ctx_all_7,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_7 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_13
+        q_1 = conv2d_13 = None
+        x_out_4 = torch.conv2d(
+            x_out_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_22 = x_17 + x_out_5
+        x_17 = x_out_5 = None
+        x_23 = x_22.permute(0, 2, 3, 1)
+        x_24 = torch.nn.functional.layer_norm(
+            x_23,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_23 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_25 = x_24.permute(0, 3, 1, 2)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_27 = torch._C._nn.gelu(x_26, approximate="none")
+        x_26 = None
+        x_28 = torch.nn.functional.dropout(x_27, 0.0, False, False)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.dropout(x_29, 0.0, False, False)
+        x_29 = None
+        x_31 = x_22 + x_30
+        x_22 = x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_33 = x_32.permute(0, 2, 3, 1)
+        x_32 = None
+        x_34 = torch.nn.functional.layer_norm(
+            x_33,
+            (192,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_33 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_35 = x_34.permute(0, 3, 1, 2)
+        x_34 = None
+        x_36 = x_35.permute(0, 2, 3, 1)
+        x_37 = torch.nn.functional.layer_norm(
+            x_36,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_36 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_38 = x_37.permute(0, 3, 1, 2)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_39, [192, 192, 4], 1)
+        x_39 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_13 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_17 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_10 = input_14 * getitem_17
+        getitem_17 = None
+        ctx_all_8 = 0 + mul_10
+        mul_10 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        input_14 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_18 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_11 = input_16 * getitem_18
+        getitem_18 = None
+        ctx_all_9 = ctx_all_8 + mul_11
+        ctx_all_8 = mul_11 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        input_16 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_19 = gates_2[(slice(None, None, None), slice(2, 3, None))]
+        mul_12 = input_18 * getitem_19
+        getitem_19 = None
+        ctx_all_10 = ctx_all_9 + mul_12
+        ctx_all_9 = mul_12 = None
+        mean_2 = input_18.mean((2, 3), keepdim=True)
+        input_18 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_20 = gates_2[(slice(None, None, None), slice(3, None, None))]
+        gates_2 = None
+        mul_13 = ctx_global_2 * getitem_20
+        ctx_global_2 = getitem_20 = None
+        ctx_all_11 = ctx_all_10 + mul_13
+        ctx_all_10 = mul_13 = None
+        conv2d_22 = torch.conv2d(
+            ctx_all_11,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_11 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_22
+        q_2 = conv2d_22 = None
+        x_out_7 = torch.conv2d(
+            x_out_6,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_6 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_40 = x_35 + x_out_8
+        x_35 = x_out_8 = None
+        x_41 = x_40.permute(0, 2, 3, 1)
+        x_42 = torch.nn.functional.layer_norm(
+            x_41,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_41 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_43 = x_42.permute(0, 3, 1, 2)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_45 = torch._C._nn.gelu(x_44, approximate="none")
+        x_44 = None
+        x_46 = torch.nn.functional.dropout(x_45, 0.0, False, False)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_40 + x_48
+        x_40 = x_48 = None
+        x_50 = x_49.permute(0, 2, 3, 1)
+        x_51 = torch.nn.functional.layer_norm(
+            x_50,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_50 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_52 = x_51.permute(0, 3, 1, 2)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_53, [192, 192, 4], 1)
+        x_53 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_19 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_24 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_15 = input_20 * getitem_24
+        getitem_24 = None
+        ctx_all_12 = 0 + mul_15
+        mul_15 = None
+        input_21 = torch.conv2d(
+            input_20,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        input_20 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_25 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_16 = input_22 * getitem_25
+        getitem_25 = None
+        ctx_all_13 = ctx_all_12 + mul_16
+        ctx_all_12 = mul_16 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        input_22 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_26 = gates_3[(slice(None, None, None), slice(2, 3, None))]
+        mul_17 = input_24 * getitem_26
+        getitem_26 = None
+        ctx_all_14 = ctx_all_13 + mul_17
+        ctx_all_13 = mul_17 = None
+        mean_3 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_27 = gates_3[(slice(None, None, None), slice(3, None, None))]
+        gates_3 = None
+        mul_18 = ctx_global_3 * getitem_27
+        ctx_global_3 = getitem_27 = None
+        ctx_all_15 = ctx_all_14 + mul_18
+        ctx_all_14 = mul_18 = None
+        conv2d_30 = torch.conv2d(
+            ctx_all_15,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_15 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_30
+        q_3 = conv2d_30 = None
+        x_out_10 = torch.conv2d(
+            x_out_9,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_9 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_54 = x_49 + x_out_11
+        x_49 = x_out_11 = None
+        x_55 = x_54.permute(0, 2, 3, 1)
+        x_56 = torch.nn.functional.layer_norm(
+            x_55,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_55 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_57 = x_56.permute(0, 3, 1, 2)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_59 = torch._C._nn.gelu(x_58, approximate="none")
+        x_58 = None
+        x_60 = torch.nn.functional.dropout(x_59, 0.0, False, False)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.dropout(x_61, 0.0, False, False)
+        x_61 = None
+        x_63 = x_54 + x_62
+        x_54 = x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 2, 3, 1)
+        x_64 = None
+        x_66 = torch.nn.functional.layer_norm(
+            x_65,
+            (384,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_65 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_67 = x_66.permute(0, 3, 1, 2)
+        x_66 = None
+        x_68 = x_67.permute(0, 2, 3, 1)
+        x_69 = torch.nn.functional.layer_norm(
+            x_68,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_68 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_70 = x_69.permute(0, 3, 1, 2)
+        x_69 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_71, [384, 384, 4], 1)
+        x_71 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_25 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_31 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_20 = input_26 * getitem_31
+        getitem_31 = None
+        ctx_all_16 = 0 + mul_20
+        mul_20 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_26 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_32 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_21 = input_28 * getitem_32
+        getitem_32 = None
+        ctx_all_17 = ctx_all_16 + mul_21
+        ctx_all_16 = mul_21 = None
+        input_29 = torch.conv2d(
+            input_28,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_28 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_33 = gates_4[(slice(None, None, None), slice(2, 3, None))]
+        mul_22 = input_30 * getitem_33
+        getitem_33 = None
+        ctx_all_18 = ctx_all_17 + mul_22
+        ctx_all_17 = mul_22 = None
+        mean_4 = input_30.mean((2, 3), keepdim=True)
+        input_30 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_34 = gates_4[(slice(None, None, None), slice(3, None, None))]
+        gates_4 = None
+        mul_23 = ctx_global_4 * getitem_34
+        ctx_global_4 = getitem_34 = None
+        ctx_all_19 = ctx_all_18 + mul_23
+        ctx_all_18 = mul_23 = None
+        conv2d_39 = torch.conv2d(
+            ctx_all_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_19 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_39
+        q_4 = conv2d_39 = None
+        x_out_13 = torch.conv2d(
+            x_out_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_12 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_72 = x_67 + x_out_14
+        x_67 = x_out_14 = None
+        x_73 = x_72.permute(0, 2, 3, 1)
+        x_74 = torch.nn.functional.layer_norm(
+            x_73,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_73 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_75 = x_74.permute(0, 3, 1, 2)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_77 = torch._C._nn.gelu(x_76, approximate="none")
+        x_76 = None
+        x_78 = torch.nn.functional.dropout(x_77, 0.0, False, False)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.dropout(x_79, 0.0, False, False)
+        x_79 = None
+        x_81 = x_72 + x_80
+        x_72 = x_80 = None
+        x_82 = x_81.permute(0, 2, 3, 1)
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_82 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_84 = x_83.permute(0, 3, 1, 2)
+        x_83 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_84 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_85, [384, 384, 4], 1)
+        x_85 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_31 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_38 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_25 = input_32 * getitem_38
+        getitem_38 = None
+        ctx_all_20 = 0 + mul_25
+        mul_25 = None
+        input_33 = torch.conv2d(
+            input_32,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_32 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_39 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_26 = input_34 * getitem_39
+        getitem_39 = None
+        ctx_all_21 = ctx_all_20 + mul_26
+        ctx_all_20 = mul_26 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_40 = gates_5[(slice(None, None, None), slice(2, 3, None))]
+        mul_27 = input_36 * getitem_40
+        getitem_40 = None
+        ctx_all_22 = ctx_all_21 + mul_27
+        ctx_all_21 = mul_27 = None
+        mean_5 = input_36.mean((2, 3), keepdim=True)
+        input_36 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_41 = gates_5[(slice(None, None, None), slice(3, None, None))]
+        gates_5 = None
+        mul_28 = ctx_global_5 * getitem_41
+        ctx_global_5 = getitem_41 = None
+        ctx_all_23 = ctx_all_22 + mul_28
+        ctx_all_22 = mul_28 = None
+        conv2d_47 = torch.conv2d(
+            ctx_all_23,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_23 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_47
+        q_5 = conv2d_47 = None
+        x_out_16 = torch.conv2d(
+            x_out_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_15 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_86 = x_81 + x_out_17
+        x_81 = x_out_17 = None
+        x_87 = x_86.permute(0, 2, 3, 1)
+        x_88 = torch.nn.functional.layer_norm(
+            x_87,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_87 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_89 = x_88.permute(0, 3, 1, 2)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_91 = torch._C._nn.gelu(x_90, approximate="none")
+        x_90 = None
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.dropout(x_93, 0.0, False, False)
+        x_93 = None
+        x_95 = x_86 + x_94
+        x_86 = x_94 = None
+        x_96 = x_95.permute(0, 2, 3, 1)
+        x_97 = torch.nn.functional.layer_norm(
+            x_96,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_96 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (None)
+        x_98 = x_97.permute(0, 3, 1, 2)
+        x_97 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_99, [384, 384, 4], 1)
+        x_99 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_37 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_45 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_30 = input_38 * getitem_45
+        getitem_45 = None
+        ctx_all_24 = 0 + mul_30
+        mul_30 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_46 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_31 = input_40 * getitem_46
+        getitem_46 = None
+        ctx_all_25 = ctx_all_24 + mul_31
+        ctx_all_24 = mul_31 = None
+        input_41 = torch.conv2d(
+            input_40,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_40 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_47 = gates_6[(slice(None, None, None), slice(2, 3, None))]
+        mul_32 = input_42 * getitem_47
+        getitem_47 = None
+        ctx_all_26 = ctx_all_25 + mul_32
+        ctx_all_25 = mul_32 = None
+        mean_6 = input_42.mean((2, 3), keepdim=True)
+        input_42 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_48 = gates_6[(slice(None, None, None), slice(3, None, None))]
+        gates_6 = None
+        mul_33 = ctx_global_6 * getitem_48
+        ctx_global_6 = getitem_48 = None
+        ctx_all_27 = ctx_all_26 + mul_33
+        ctx_all_26 = mul_33 = None
+        conv2d_55 = torch.conv2d(
+            ctx_all_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_27 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_55
+        q_6 = conv2d_55 = None
+        x_out_19 = torch.conv2d(
+            x_out_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_18 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_100 = x_95 + x_out_20
+        x_95 = x_out_20 = None
+        x_101 = x_100.permute(0, 2, 3, 1)
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_101 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (None)
+        x_103 = x_102.permute(0, 3, 1, 2)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_105 = torch._C._nn.gelu(x_104, approximate="none")
+        x_104 = None
+        x_106 = torch.nn.functional.dropout(x_105, 0.0, False, False)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.dropout(x_107, 0.0, False, False)
+        x_107 = None
+        x_109 = x_100 + x_108
+        x_100 = x_108 = None
+        x_110 = x_109.permute(0, 2, 3, 1)
+        x_111 = torch.nn.functional.layer_norm(
+            x_110,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_110 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (None)
+        x_112 = x_111.permute(0, 3, 1, 2)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_113, [384, 384, 4], 1)
+        x_113 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_43 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_52 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_35 = input_44 * getitem_52
+        getitem_52 = None
+        ctx_all_28 = 0 + mul_35
+        mul_35 = None
+        input_45 = torch.conv2d(
+            input_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_44 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_53 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_36 = input_46 * getitem_53
+        getitem_53 = None
+        ctx_all_29 = ctx_all_28 + mul_36
+        ctx_all_28 = mul_36 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_46 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_54 = gates_7[(slice(None, None, None), slice(2, 3, None))]
+        mul_37 = input_48 * getitem_54
+        getitem_54 = None
+        ctx_all_30 = ctx_all_29 + mul_37
+        ctx_all_29 = mul_37 = None
+        mean_7 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_55 = gates_7[(slice(None, None, None), slice(3, None, None))]
+        gates_7 = None
+        mul_38 = ctx_global_7 * getitem_55
+        ctx_global_7 = getitem_55 = None
+        ctx_all_31 = ctx_all_30 + mul_38
+        ctx_all_30 = mul_38 = None
+        conv2d_63 = torch.conv2d(
+            ctx_all_31,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_31 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_63
+        q_7 = conv2d_63 = None
+        x_out_22 = torch.conv2d(
+            x_out_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_21 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_114 = x_109 + x_out_23
+        x_109 = x_out_23 = None
+        x_115 = x_114.permute(0, 2, 3, 1)
+        x_116 = torch.nn.functional.layer_norm(
+            x_115,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_115 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (None)
+        x_117 = x_116.permute(0, 3, 1, 2)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_119 = torch._C._nn.gelu(x_118, approximate="none")
+        x_118 = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.dropout(x_121, 0.0, False, False)
+        x_121 = None
+        x_123 = x_114 + x_122
+        x_114 = x_122 = None
+        x_124 = x_123.permute(0, 2, 3, 1)
+        x_125 = torch.nn.functional.layer_norm(
+            x_124,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_124 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (None)
+        x_126 = x_125.permute(0, 3, 1, 2)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_127, [384, 384, 4], 1)
+        x_127 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_49 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_50 = torch._C._nn.gelu(input_49, approximate="none")
+        input_49 = None
+        getitem_59 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_40 = input_50 * getitem_59
+        getitem_59 = None
+        ctx_all_32 = 0 + mul_40
+        mul_40 = None
+        input_51 = torch.conv2d(
+            input_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_50 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_52 = torch._C._nn.gelu(input_51, approximate="none")
+        input_51 = None
+        getitem_60 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_41 = input_52 * getitem_60
+        getitem_60 = None
+        ctx_all_33 = ctx_all_32 + mul_41
+        ctx_all_32 = mul_41 = None
+        input_53 = torch.conv2d(
+            input_52,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_52 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_54 = torch._C._nn.gelu(input_53, approximate="none")
+        input_53 = None
+        getitem_61 = gates_8[(slice(None, None, None), slice(2, 3, None))]
+        mul_42 = input_54 * getitem_61
+        getitem_61 = None
+        ctx_all_34 = ctx_all_33 + mul_42
+        ctx_all_33 = mul_42 = None
+        mean_8 = input_54.mean((2, 3), keepdim=True)
+        input_54 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_62 = gates_8[(slice(None, None, None), slice(3, None, None))]
+        gates_8 = None
+        mul_43 = ctx_global_8 * getitem_62
+        ctx_global_8 = getitem_62 = None
+        ctx_all_35 = ctx_all_34 + mul_43
+        ctx_all_34 = mul_43 = None
+        conv2d_71 = torch.conv2d(
+            ctx_all_35,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_35 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_71
+        q_8 = conv2d_71 = None
+        x_out_25 = torch.conv2d(
+            x_out_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_24 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_128 = x_123 + x_out_26
+        x_123 = x_out_26 = None
+        x_129 = x_128.permute(0, 2, 3, 1)
+        x_130 = torch.nn.functional.layer_norm(
+            x_129,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_129 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (None)
+        x_131 = x_130.permute(0, 3, 1, 2)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_131 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_133 = torch._C._nn.gelu(x_132, approximate="none")
+        x_132 = None
+        x_134 = torch.nn.functional.dropout(x_133, 0.0, False, False)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.dropout(x_135, 0.0, False, False)
+        x_135 = None
+        x_137 = x_128 + x_136
+        x_128 = x_136 = None
+        x_138 = x_137.permute(0, 2, 3, 1)
+        x_139 = torch.nn.functional.layer_norm(
+            x_138,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_138 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (None)
+        x_140 = x_139.permute(0, 3, 1, 2)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_141, [384, 384, 4], 1)
+        x_141 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_55 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_56 = torch._C._nn.gelu(input_55, approximate="none")
+        input_55 = None
+        getitem_66 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_45 = input_56 * getitem_66
+        getitem_66 = None
+        ctx_all_36 = 0 + mul_45
+        mul_45 = None
+        input_57 = torch.conv2d(
+            input_56,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_56 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_58 = torch._C._nn.gelu(input_57, approximate="none")
+        input_57 = None
+        getitem_67 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_46 = input_58 * getitem_67
+        getitem_67 = None
+        ctx_all_37 = ctx_all_36 + mul_46
+        ctx_all_36 = mul_46 = None
+        input_59 = torch.conv2d(
+            input_58,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_58 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_60 = torch._C._nn.gelu(input_59, approximate="none")
+        input_59 = None
+        getitem_68 = gates_9[(slice(None, None, None), slice(2, 3, None))]
+        mul_47 = input_60 * getitem_68
+        getitem_68 = None
+        ctx_all_38 = ctx_all_37 + mul_47
+        ctx_all_37 = mul_47 = None
+        mean_9 = input_60.mean((2, 3), keepdim=True)
+        input_60 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_69 = gates_9[(slice(None, None, None), slice(3, None, None))]
+        gates_9 = None
+        mul_48 = ctx_global_9 * getitem_69
+        ctx_global_9 = getitem_69 = None
+        ctx_all_39 = ctx_all_38 + mul_48
+        ctx_all_38 = mul_48 = None
+        conv2d_79 = torch.conv2d(
+            ctx_all_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_39 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_79
+        q_9 = conv2d_79 = None
+        x_out_28 = torch.conv2d(
+            x_out_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_27 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_142 = x_137 + x_out_29
+        x_137 = x_out_29 = None
+        x_143 = x_142.permute(0, 2, 3, 1)
+        x_144 = torch.nn.functional.layer_norm(
+            x_143,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_143 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (None)
+        x_145 = x_144.permute(0, 3, 1, 2)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_147 = torch._C._nn.gelu(x_146, approximate="none")
+        x_146 = None
+        x_148 = torch.nn.functional.dropout(x_147, 0.0, False, False)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False)
+        x_149 = None
+        x_151 = x_142 + x_150
+        x_142 = x_150 = None
+        x_152 = x_151.permute(0, 2, 3, 1)
+        x_153 = torch.nn.functional.layer_norm(
+            x_152,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_152 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (None)
+        x_154 = x_153.permute(0, 3, 1, 2)
+        x_153 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_154 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_155, [384, 384, 4], 1)
+        x_155 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_61 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_10 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_62 = torch._C._nn.gelu(input_61, approximate="none")
+        input_61 = None
+        getitem_73 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_50 = input_62 * getitem_73
+        getitem_73 = None
+        ctx_all_40 = 0 + mul_50
+        mul_50 = None
+        input_63 = torch.conv2d(
+            input_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_62 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_64 = torch._C._nn.gelu(input_63, approximate="none")
+        input_63 = None
+        getitem_74 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_51 = input_64 * getitem_74
+        getitem_74 = None
+        ctx_all_41 = ctx_all_40 + mul_51
+        ctx_all_40 = mul_51 = None
+        input_65 = torch.conv2d(
+            input_64,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_64 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_66 = torch._C._nn.gelu(input_65, approximate="none")
+        input_65 = None
+        getitem_75 = gates_10[(slice(None, None, None), slice(2, 3, None))]
+        mul_52 = input_66 * getitem_75
+        getitem_75 = None
+        ctx_all_42 = ctx_all_41 + mul_52
+        ctx_all_41 = mul_52 = None
+        mean_10 = input_66.mean((2, 3), keepdim=True)
+        input_66 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_76 = gates_10[(slice(None, None, None), slice(3, None, None))]
+        gates_10 = None
+        mul_53 = ctx_global_10 * getitem_76
+        ctx_global_10 = getitem_76 = None
+        ctx_all_43 = ctx_all_42 + mul_53
+        ctx_all_42 = mul_53 = None
+        conv2d_87 = torch.conv2d(
+            ctx_all_43,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_43 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_87
+        q_10 = conv2d_87 = None
+        x_out_31 = torch.conv2d(
+            x_out_30,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_30 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_156 = x_151 + x_out_32
+        x_151 = x_out_32 = None
+        x_157 = x_156.permute(0, 2, 3, 1)
+        x_158 = torch.nn.functional.layer_norm(
+            x_157,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_157 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (None)
+        x_159 = x_158.permute(0, 3, 1, 2)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_161 = torch._C._nn.gelu(x_160, approximate="none")
+        x_160 = None
+        x_162 = torch.nn.functional.dropout(x_161, 0.0, False, False)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_164 = torch.nn.functional.dropout(x_163, 0.0, False, False)
+        x_163 = None
+        x_165 = x_156 + x_164
+        x_156 = x_164 = None
+        x_166 = x_165.permute(0, 2, 3, 1)
+        x_167 = torch.nn.functional.layer_norm(
+            x_166,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_166 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (None)
+        x_168 = x_167.permute(0, 3, 1, 2)
+        x_167 = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_168 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_169, [384, 384, 4], 1)
+        x_169 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_67 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_11 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_68 = torch._C._nn.gelu(input_67, approximate="none")
+        input_67 = None
+        getitem_80 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_55 = input_68 * getitem_80
+        getitem_80 = None
+        ctx_all_44 = 0 + mul_55
+        mul_55 = None
+        input_69 = torch.conv2d(
+            input_68,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_68 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_70 = torch._C._nn.gelu(input_69, approximate="none")
+        input_69 = None
+        getitem_81 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_56 = input_70 * getitem_81
+        getitem_81 = None
+        ctx_all_45 = ctx_all_44 + mul_56
+        ctx_all_44 = mul_56 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_70 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_72 = torch._C._nn.gelu(input_71, approximate="none")
+        input_71 = None
+        getitem_82 = gates_11[(slice(None, None, None), slice(2, 3, None))]
+        mul_57 = input_72 * getitem_82
+        getitem_82 = None
+        ctx_all_46 = ctx_all_45 + mul_57
+        ctx_all_45 = mul_57 = None
+        mean_11 = input_72.mean((2, 3), keepdim=True)
+        input_72 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_83 = gates_11[(slice(None, None, None), slice(3, None, None))]
+        gates_11 = None
+        mul_58 = ctx_global_11 * getitem_83
+        ctx_global_11 = getitem_83 = None
+        ctx_all_47 = ctx_all_46 + mul_58
+        ctx_all_46 = mul_58 = None
+        conv2d_95 = torch.conv2d(
+            ctx_all_47,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_47 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_95
+        q_11 = conv2d_95 = None
+        x_out_34 = torch.conv2d(
+            x_out_33,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_33 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_170 = x_165 + x_out_35
+        x_165 = x_out_35 = None
+        x_171 = x_170.permute(0, 2, 3, 1)
+        x_172 = torch.nn.functional.layer_norm(
+            x_171,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_171 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (None)
+        x_173 = x_172.permute(0, 3, 1, 2)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_175 = torch._C._nn.gelu(x_174, approximate="none")
+        x_174 = None
+        x_176 = torch.nn.functional.dropout(x_175, 0.0, False, False)
+        x_175 = None
+        x_177 = torch.conv2d(
+            x_176,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_176 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_178 = torch.nn.functional.dropout(x_177, 0.0, False, False)
+        x_177 = None
+        x_179 = x_170 + x_178
+        x_170 = x_178 = None
+        x_180 = x_179.permute(0, 2, 3, 1)
+        x_181 = torch.nn.functional.layer_norm(
+            x_180,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_180 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (None)
+        x_182 = x_181.permute(0, 3, 1, 2)
+        x_181 = None
+        x_183 = torch.conv2d(
+            x_182,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_182 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_12 = torch.functional.split(x_183, [384, 384, 4], 1)
+        x_183 = None
+        q_12 = split_12[0]
+        ctx_12 = split_12[1]
+        gates_12 = split_12[2]
+        split_12 = None
+        input_73 = torch.conv2d(
+            ctx_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_12 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_74 = torch._C._nn.gelu(input_73, approximate="none")
+        input_73 = None
+        getitem_87 = gates_12[(slice(None, None, None), slice(0, 1, None))]
+        mul_60 = input_74 * getitem_87
+        getitem_87 = None
+        ctx_all_48 = 0 + mul_60
+        mul_60 = None
+        input_75 = torch.conv2d(
+            input_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_74 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_76 = torch._C._nn.gelu(input_75, approximate="none")
+        input_75 = None
+        getitem_88 = gates_12[(slice(None, None, None), slice(1, 2, None))]
+        mul_61 = input_76 * getitem_88
+        getitem_88 = None
+        ctx_all_49 = ctx_all_48 + mul_61
+        ctx_all_48 = mul_61 = None
+        input_77 = torch.conv2d(
+            input_76,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_76 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_78 = torch._C._nn.gelu(input_77, approximate="none")
+        input_77 = None
+        getitem_89 = gates_12[(slice(None, None, None), slice(2, 3, None))]
+        mul_62 = input_78 * getitem_89
+        getitem_89 = None
+        ctx_all_50 = ctx_all_49 + mul_62
+        ctx_all_49 = mul_62 = None
+        mean_12 = input_78.mean((2, 3), keepdim=True)
+        input_78 = None
+        ctx_global_12 = torch._C._nn.gelu(mean_12, approximate="none")
+        mean_12 = None
+        getitem_90 = gates_12[(slice(None, None, None), slice(3, None, None))]
+        gates_12 = None
+        mul_63 = ctx_global_12 * getitem_90
+        ctx_global_12 = getitem_90 = None
+        ctx_all_51 = ctx_all_50 + mul_63
+        ctx_all_50 = mul_63 = None
+        conv2d_103 = torch.conv2d(
+            ctx_all_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_51 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_36 = q_12 * conv2d_103
+        q_12 = conv2d_103 = None
+        x_out_37 = torch.conv2d(
+            x_out_36,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_36 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_38 = torch.nn.functional.dropout(x_out_37, 0.0, False, False)
+        x_out_37 = None
+        x_184 = x_179 + x_out_38
+        x_179 = x_out_38 = None
+        x_185 = x_184.permute(0, 2, 3, 1)
+        x_186 = torch.nn.functional.layer_norm(
+            x_185,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_185 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (None)
+        x_187 = x_186.permute(0, 3, 1, 2)
+        x_186 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_187 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_189 = torch._C._nn.gelu(x_188, approximate="none")
+        x_188 = None
+        x_190 = torch.nn.functional.dropout(x_189, 0.0, False, False)
+        x_189 = None
+        x_191 = torch.conv2d(
+            x_190,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_190 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_192 = torch.nn.functional.dropout(x_191, 0.0, False, False)
+        x_191 = None
+        x_193 = x_184 + x_192
+        x_184 = x_192 = None
+        x_194 = x_193.permute(0, 2, 3, 1)
+        x_195 = torch.nn.functional.layer_norm(
+            x_194,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_194 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (None)
+        x_196 = x_195.permute(0, 3, 1, 2)
+        x_195 = None
+        x_197 = torch.conv2d(
+            x_196,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_196 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_13 = torch.functional.split(x_197, [384, 384, 4], 1)
+        x_197 = None
+        q_13 = split_13[0]
+        ctx_13 = split_13[1]
+        gates_13 = split_13[2]
+        split_13 = None
+        input_79 = torch.conv2d(
+            ctx_13,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_13 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_80 = torch._C._nn.gelu(input_79, approximate="none")
+        input_79 = None
+        getitem_94 = gates_13[(slice(None, None, None), slice(0, 1, None))]
+        mul_65 = input_80 * getitem_94
+        getitem_94 = None
+        ctx_all_52 = 0 + mul_65
+        mul_65 = None
+        input_81 = torch.conv2d(
+            input_80,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_80 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_82 = torch._C._nn.gelu(input_81, approximate="none")
+        input_81 = None
+        getitem_95 = gates_13[(slice(None, None, None), slice(1, 2, None))]
+        mul_66 = input_82 * getitem_95
+        getitem_95 = None
+        ctx_all_53 = ctx_all_52 + mul_66
+        ctx_all_52 = mul_66 = None
+        input_83 = torch.conv2d(
+            input_82,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_82 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_84 = torch._C._nn.gelu(input_83, approximate="none")
+        input_83 = None
+        getitem_96 = gates_13[(slice(None, None, None), slice(2, 3, None))]
+        mul_67 = input_84 * getitem_96
+        getitem_96 = None
+        ctx_all_54 = ctx_all_53 + mul_67
+        ctx_all_53 = mul_67 = None
+        mean_13 = input_84.mean((2, 3), keepdim=True)
+        input_84 = None
+        ctx_global_13 = torch._C._nn.gelu(mean_13, approximate="none")
+        mean_13 = None
+        getitem_97 = gates_13[(slice(None, None, None), slice(3, None, None))]
+        gates_13 = None
+        mul_68 = ctx_global_13 * getitem_97
+        ctx_global_13 = getitem_97 = None
+        ctx_all_55 = ctx_all_54 + mul_68
+        ctx_all_54 = mul_68 = None
+        conv2d_111 = torch.conv2d(
+            ctx_all_55,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_55 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_39 = q_13 * conv2d_111
+        q_13 = conv2d_111 = None
+        x_out_40 = torch.conv2d(
+            x_out_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_39 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_41 = torch.nn.functional.dropout(x_out_40, 0.0, False, False)
+        x_out_40 = None
+        x_198 = x_193 + x_out_41
+        x_193 = x_out_41 = None
+        x_199 = x_198.permute(0, 2, 3, 1)
+        x_200 = torch.nn.functional.layer_norm(
+            x_199,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_199 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (None)
+        x_201 = x_200.permute(0, 3, 1, 2)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_201 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_203 = torch._C._nn.gelu(x_202, approximate="none")
+        x_202 = None
+        x_204 = torch.nn.functional.dropout(x_203, 0.0, False, False)
+        x_203 = None
+        x_205 = torch.conv2d(
+            x_204,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_204 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_206 = torch.nn.functional.dropout(x_205, 0.0, False, False)
+        x_205 = None
+        x_207 = x_198 + x_206
+        x_198 = x_206 = None
+        x_208 = x_207.permute(0, 2, 3, 1)
+        x_209 = torch.nn.functional.layer_norm(
+            x_208,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_208 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (None)
+        x_210 = x_209.permute(0, 3, 1, 2)
+        x_209 = None
+        x_211 = torch.conv2d(
+            x_210,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_210 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_14 = torch.functional.split(x_211, [384, 384, 4], 1)
+        x_211 = None
+        q_14 = split_14[0]
+        ctx_14 = split_14[1]
+        gates_14 = split_14[2]
+        split_14 = None
+        input_85 = torch.conv2d(
+            ctx_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_14 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_86 = torch._C._nn.gelu(input_85, approximate="none")
+        input_85 = None
+        getitem_101 = gates_14[(slice(None, None, None), slice(0, 1, None))]
+        mul_70 = input_86 * getitem_101
+        getitem_101 = None
+        ctx_all_56 = 0 + mul_70
+        mul_70 = None
+        input_87 = torch.conv2d(
+            input_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_86 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_88 = torch._C._nn.gelu(input_87, approximate="none")
+        input_87 = None
+        getitem_102 = gates_14[(slice(None, None, None), slice(1, 2, None))]
+        mul_71 = input_88 * getitem_102
+        getitem_102 = None
+        ctx_all_57 = ctx_all_56 + mul_71
+        ctx_all_56 = mul_71 = None
+        input_89 = torch.conv2d(
+            input_88,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_88 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_90 = torch._C._nn.gelu(input_89, approximate="none")
+        input_89 = None
+        getitem_103 = gates_14[(slice(None, None, None), slice(2, 3, None))]
+        mul_72 = input_90 * getitem_103
+        getitem_103 = None
+        ctx_all_58 = ctx_all_57 + mul_72
+        ctx_all_57 = mul_72 = None
+        mean_14 = input_90.mean((2, 3), keepdim=True)
+        input_90 = None
+        ctx_global_14 = torch._C._nn.gelu(mean_14, approximate="none")
+        mean_14 = None
+        getitem_104 = gates_14[(slice(None, None, None), slice(3, None, None))]
+        gates_14 = None
+        mul_73 = ctx_global_14 * getitem_104
+        ctx_global_14 = getitem_104 = None
+        ctx_all_59 = ctx_all_58 + mul_73
+        ctx_all_58 = mul_73 = None
+        conv2d_119 = torch.conv2d(
+            ctx_all_59,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_59 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_42 = q_14 * conv2d_119
+        q_14 = conv2d_119 = None
+        x_out_43 = torch.conv2d(
+            x_out_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_42 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_44 = torch.nn.functional.dropout(x_out_43, 0.0, False, False)
+        x_out_43 = None
+        x_212 = x_207 + x_out_44
+        x_207 = x_out_44 = None
+        x_213 = x_212.permute(0, 2, 3, 1)
+        x_214 = torch.nn.functional.layer_norm(
+            x_213,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_213 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (None)
+        x_215 = x_214.permute(0, 3, 1, 2)
+        x_214 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_215 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_217 = torch._C._nn.gelu(x_216, approximate="none")
+        x_216 = None
+        x_218 = torch.nn.functional.dropout(x_217, 0.0, False, False)
+        x_217 = None
+        x_219 = torch.conv2d(
+            x_218,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_218 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_220 = torch.nn.functional.dropout(x_219, 0.0, False, False)
+        x_219 = None
+        x_221 = x_212 + x_220
+        x_212 = x_220 = None
+        x_222 = x_221.permute(0, 2, 3, 1)
+        x_223 = torch.nn.functional.layer_norm(
+            x_222,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_222 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (None)
+        x_224 = x_223.permute(0, 3, 1, 2)
+        x_223 = None
+        x_225 = torch.conv2d(
+            x_224,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_224 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_15 = torch.functional.split(x_225, [384, 384, 4], 1)
+        x_225 = None
+        q_15 = split_15[0]
+        ctx_15 = split_15[1]
+        gates_15 = split_15[2]
+        split_15 = None
+        input_91 = torch.conv2d(
+            ctx_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_15 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_92 = torch._C._nn.gelu(input_91, approximate="none")
+        input_91 = None
+        getitem_108 = gates_15[(slice(None, None, None), slice(0, 1, None))]
+        mul_75 = input_92 * getitem_108
+        getitem_108 = None
+        ctx_all_60 = 0 + mul_75
+        mul_75 = None
+        input_93 = torch.conv2d(
+            input_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_92 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_94 = torch._C._nn.gelu(input_93, approximate="none")
+        input_93 = None
+        getitem_109 = gates_15[(slice(None, None, None), slice(1, 2, None))]
+        mul_76 = input_94 * getitem_109
+        getitem_109 = None
+        ctx_all_61 = ctx_all_60 + mul_76
+        ctx_all_60 = mul_76 = None
+        input_95 = torch.conv2d(
+            input_94,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_94 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_96 = torch._C._nn.gelu(input_95, approximate="none")
+        input_95 = None
+        getitem_110 = gates_15[(slice(None, None, None), slice(2, 3, None))]
+        mul_77 = input_96 * getitem_110
+        getitem_110 = None
+        ctx_all_62 = ctx_all_61 + mul_77
+        ctx_all_61 = mul_77 = None
+        mean_15 = input_96.mean((2, 3), keepdim=True)
+        input_96 = None
+        ctx_global_15 = torch._C._nn.gelu(mean_15, approximate="none")
+        mean_15 = None
+        getitem_111 = gates_15[(slice(None, None, None), slice(3, None, None))]
+        gates_15 = None
+        mul_78 = ctx_global_15 * getitem_111
+        ctx_global_15 = getitem_111 = None
+        ctx_all_63 = ctx_all_62 + mul_78
+        ctx_all_62 = mul_78 = None
+        conv2d_127 = torch.conv2d(
+            ctx_all_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_63 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_45 = q_15 * conv2d_127
+        q_15 = conv2d_127 = None
+        x_out_46 = torch.conv2d(
+            x_out_45,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_45 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_47 = torch.nn.functional.dropout(x_out_46, 0.0, False, False)
+        x_out_46 = None
+        x_226 = x_221 + x_out_47
+        x_221 = x_out_47 = None
+        x_227 = x_226.permute(0, 2, 3, 1)
+        x_228 = torch.nn.functional.layer_norm(
+            x_227,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_227 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (None)
+        x_229 = x_228.permute(0, 3, 1, 2)
+        x_228 = None
+        x_230 = torch.conv2d(
+            x_229,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_229 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_231 = torch._C._nn.gelu(x_230, approximate="none")
+        x_230 = None
+        x_232 = torch.nn.functional.dropout(x_231, 0.0, False, False)
+        x_231 = None
+        x_233 = torch.conv2d(
+            x_232,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_232 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_234 = torch.nn.functional.dropout(x_233, 0.0, False, False)
+        x_233 = None
+        x_235 = x_226 + x_234
+        x_226 = x_234 = None
+        x_236 = x_235.permute(0, 2, 3, 1)
+        x_237 = torch.nn.functional.layer_norm(
+            x_236,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_236 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_ = (None)
+        x_238 = x_237.permute(0, 3, 1, 2)
+        x_237 = None
+        x_239 = torch.conv2d(
+            x_238,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_238 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_16 = torch.functional.split(x_239, [384, 384, 4], 1)
+        x_239 = None
+        q_16 = split_16[0]
+        ctx_16 = split_16[1]
+        gates_16 = split_16[2]
+        split_16 = None
+        input_97 = torch.conv2d(
+            ctx_16,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_16 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_98 = torch._C._nn.gelu(input_97, approximate="none")
+        input_97 = None
+        getitem_115 = gates_16[(slice(None, None, None), slice(0, 1, None))]
+        mul_80 = input_98 * getitem_115
+        getitem_115 = None
+        ctx_all_64 = 0 + mul_80
+        mul_80 = None
+        input_99 = torch.conv2d(
+            input_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_98 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_100 = torch._C._nn.gelu(input_99, approximate="none")
+        input_99 = None
+        getitem_116 = gates_16[(slice(None, None, None), slice(1, 2, None))]
+        mul_81 = input_100 * getitem_116
+        getitem_116 = None
+        ctx_all_65 = ctx_all_64 + mul_81
+        ctx_all_64 = mul_81 = None
+        input_101 = torch.conv2d(
+            input_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_100 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_102 = torch._C._nn.gelu(input_101, approximate="none")
+        input_101 = None
+        getitem_117 = gates_16[(slice(None, None, None), slice(2, 3, None))]
+        mul_82 = input_102 * getitem_117
+        getitem_117 = None
+        ctx_all_66 = ctx_all_65 + mul_82
+        ctx_all_65 = mul_82 = None
+        mean_16 = input_102.mean((2, 3), keepdim=True)
+        input_102 = None
+        ctx_global_16 = torch._C._nn.gelu(mean_16, approximate="none")
+        mean_16 = None
+        getitem_118 = gates_16[(slice(None, None, None), slice(3, None, None))]
+        gates_16 = None
+        mul_83 = ctx_global_16 * getitem_118
+        ctx_global_16 = getitem_118 = None
+        ctx_all_67 = ctx_all_66 + mul_83
+        ctx_all_66 = mul_83 = None
+        conv2d_135 = torch.conv2d(
+            ctx_all_67,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_67 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_48 = q_16 * conv2d_135
+        q_16 = conv2d_135 = None
+        x_out_49 = torch.conv2d(
+            x_out_48,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_48 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_50 = torch.nn.functional.dropout(x_out_49, 0.0, False, False)
+        x_out_49 = None
+        x_240 = x_235 + x_out_50
+        x_235 = x_out_50 = None
+        x_241 = x_240.permute(0, 2, 3, 1)
+        x_242 = torch.nn.functional.layer_norm(
+            x_241,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_241 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_ = (None)
+        x_243 = x_242.permute(0, 3, 1, 2)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_243 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_245 = torch._C._nn.gelu(x_244, approximate="none")
+        x_244 = None
+        x_246 = torch.nn.functional.dropout(x_245, 0.0, False, False)
+        x_245 = None
+        x_247 = torch.conv2d(
+            x_246,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_246 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_248 = torch.nn.functional.dropout(x_247, 0.0, False, False)
+        x_247 = None
+        x_249 = x_240 + x_248
+        x_240 = x_248 = None
+        x_250 = x_249.permute(0, 2, 3, 1)
+        x_251 = torch.nn.functional.layer_norm(
+            x_250,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_250 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_ = (None)
+        x_252 = x_251.permute(0, 3, 1, 2)
+        x_251 = None
+        x_253 = torch.conv2d(
+            x_252,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_252 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_17 = torch.functional.split(x_253, [384, 384, 4], 1)
+        x_253 = None
+        q_17 = split_17[0]
+        ctx_17 = split_17[1]
+        gates_17 = split_17[2]
+        split_17 = None
+        input_103 = torch.conv2d(
+            ctx_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_17 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_104 = torch._C._nn.gelu(input_103, approximate="none")
+        input_103 = None
+        getitem_122 = gates_17[(slice(None, None, None), slice(0, 1, None))]
+        mul_85 = input_104 * getitem_122
+        getitem_122 = None
+        ctx_all_68 = 0 + mul_85
+        mul_85 = None
+        input_105 = torch.conv2d(
+            input_104,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_104 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_106 = torch._C._nn.gelu(input_105, approximate="none")
+        input_105 = None
+        getitem_123 = gates_17[(slice(None, None, None), slice(1, 2, None))]
+        mul_86 = input_106 * getitem_123
+        getitem_123 = None
+        ctx_all_69 = ctx_all_68 + mul_86
+        ctx_all_68 = mul_86 = None
+        input_107 = torch.conv2d(
+            input_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_106 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_108 = torch._C._nn.gelu(input_107, approximate="none")
+        input_107 = None
+        getitem_124 = gates_17[(slice(None, None, None), slice(2, 3, None))]
+        mul_87 = input_108 * getitem_124
+        getitem_124 = None
+        ctx_all_70 = ctx_all_69 + mul_87
+        ctx_all_69 = mul_87 = None
+        mean_17 = input_108.mean((2, 3), keepdim=True)
+        input_108 = None
+        ctx_global_17 = torch._C._nn.gelu(mean_17, approximate="none")
+        mean_17 = None
+        getitem_125 = gates_17[(slice(None, None, None), slice(3, None, None))]
+        gates_17 = None
+        mul_88 = ctx_global_17 * getitem_125
+        ctx_global_17 = getitem_125 = None
+        ctx_all_71 = ctx_all_70 + mul_88
+        ctx_all_70 = mul_88 = None
+        conv2d_143 = torch.conv2d(
+            ctx_all_71,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_71 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_51 = q_17 * conv2d_143
+        q_17 = conv2d_143 = None
+        x_out_52 = torch.conv2d(
+            x_out_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_51 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_53 = torch.nn.functional.dropout(x_out_52, 0.0, False, False)
+        x_out_52 = None
+        x_254 = x_249 + x_out_53
+        x_249 = x_out_53 = None
+        x_255 = x_254.permute(0, 2, 3, 1)
+        x_256 = torch.nn.functional.layer_norm(
+            x_255,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_255 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_ = (None)
+        x_257 = x_256.permute(0, 3, 1, 2)
+        x_256 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_257 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_259 = torch._C._nn.gelu(x_258, approximate="none")
+        x_258 = None
+        x_260 = torch.nn.functional.dropout(x_259, 0.0, False, False)
+        x_259 = None
+        x_261 = torch.conv2d(
+            x_260,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_260 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_262 = torch.nn.functional.dropout(x_261, 0.0, False, False)
+        x_261 = None
+        x_263 = x_254 + x_262
+        x_254 = x_262 = None
+        x_264 = x_263.permute(0, 2, 3, 1)
+        x_265 = torch.nn.functional.layer_norm(
+            x_264,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_264 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_ = (None)
+        x_266 = x_265.permute(0, 3, 1, 2)
+        x_265 = None
+        x_267 = torch.conv2d(
+            x_266,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_266 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_18 = torch.functional.split(x_267, [384, 384, 4], 1)
+        x_267 = None
+        q_18 = split_18[0]
+        ctx_18 = split_18[1]
+        gates_18 = split_18[2]
+        split_18 = None
+        input_109 = torch.conv2d(
+            ctx_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_18 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_110 = torch._C._nn.gelu(input_109, approximate="none")
+        input_109 = None
+        getitem_129 = gates_18[(slice(None, None, None), slice(0, 1, None))]
+        mul_90 = input_110 * getitem_129
+        getitem_129 = None
+        ctx_all_72 = 0 + mul_90
+        mul_90 = None
+        input_111 = torch.conv2d(
+            input_110,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_110 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_112 = torch._C._nn.gelu(input_111, approximate="none")
+        input_111 = None
+        getitem_130 = gates_18[(slice(None, None, None), slice(1, 2, None))]
+        mul_91 = input_112 * getitem_130
+        getitem_130 = None
+        ctx_all_73 = ctx_all_72 + mul_91
+        ctx_all_72 = mul_91 = None
+        input_113 = torch.conv2d(
+            input_112,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_112 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_114 = torch._C._nn.gelu(input_113, approximate="none")
+        input_113 = None
+        getitem_131 = gates_18[(slice(None, None, None), slice(2, 3, None))]
+        mul_92 = input_114 * getitem_131
+        getitem_131 = None
+        ctx_all_74 = ctx_all_73 + mul_92
+        ctx_all_73 = mul_92 = None
+        mean_18 = input_114.mean((2, 3), keepdim=True)
+        input_114 = None
+        ctx_global_18 = torch._C._nn.gelu(mean_18, approximate="none")
+        mean_18 = None
+        getitem_132 = gates_18[(slice(None, None, None), slice(3, None, None))]
+        gates_18 = None
+        mul_93 = ctx_global_18 * getitem_132
+        ctx_global_18 = getitem_132 = None
+        ctx_all_75 = ctx_all_74 + mul_93
+        ctx_all_74 = mul_93 = None
+        conv2d_151 = torch.conv2d(
+            ctx_all_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_75 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_54 = q_18 * conv2d_151
+        q_18 = conv2d_151 = None
+        x_out_55 = torch.conv2d(
+            x_out_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_54 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_56 = torch.nn.functional.dropout(x_out_55, 0.0, False, False)
+        x_out_55 = None
+        x_268 = x_263 + x_out_56
+        x_263 = x_out_56 = None
+        x_269 = x_268.permute(0, 2, 3, 1)
+        x_270 = torch.nn.functional.layer_norm(
+            x_269,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_269 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_ = (None)
+        x_271 = x_270.permute(0, 3, 1, 2)
+        x_270 = None
+        x_272 = torch.conv2d(
+            x_271,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_271 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_273 = torch._C._nn.gelu(x_272, approximate="none")
+        x_272 = None
+        x_274 = torch.nn.functional.dropout(x_273, 0.0, False, False)
+        x_273 = None
+        x_275 = torch.conv2d(
+            x_274,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_274 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_276 = torch.nn.functional.dropout(x_275, 0.0, False, False)
+        x_275 = None
+        x_277 = x_268 + x_276
+        x_268 = x_276 = None
+        x_278 = x_277.permute(0, 2, 3, 1)
+        x_279 = torch.nn.functional.layer_norm(
+            x_278,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_278 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_ = (None)
+        x_280 = x_279.permute(0, 3, 1, 2)
+        x_279 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_280 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_19 = torch.functional.split(x_281, [384, 384, 4], 1)
+        x_281 = None
+        q_19 = split_19[0]
+        ctx_19 = split_19[1]
+        gates_19 = split_19[2]
+        split_19 = None
+        input_115 = torch.conv2d(
+            ctx_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_19 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_116 = torch._C._nn.gelu(input_115, approximate="none")
+        input_115 = None
+        getitem_136 = gates_19[(slice(None, None, None), slice(0, 1, None))]
+        mul_95 = input_116 * getitem_136
+        getitem_136 = None
+        ctx_all_76 = 0 + mul_95
+        mul_95 = None
+        input_117 = torch.conv2d(
+            input_116,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_116 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_118 = torch._C._nn.gelu(input_117, approximate="none")
+        input_117 = None
+        getitem_137 = gates_19[(slice(None, None, None), slice(1, 2, None))]
+        mul_96 = input_118 * getitem_137
+        getitem_137 = None
+        ctx_all_77 = ctx_all_76 + mul_96
+        ctx_all_76 = mul_96 = None
+        input_119 = torch.conv2d(
+            input_118,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_118 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_120 = torch._C._nn.gelu(input_119, approximate="none")
+        input_119 = None
+        getitem_138 = gates_19[(slice(None, None, None), slice(2, 3, None))]
+        mul_97 = input_120 * getitem_138
+        getitem_138 = None
+        ctx_all_78 = ctx_all_77 + mul_97
+        ctx_all_77 = mul_97 = None
+        mean_19 = input_120.mean((2, 3), keepdim=True)
+        input_120 = None
+        ctx_global_19 = torch._C._nn.gelu(mean_19, approximate="none")
+        mean_19 = None
+        getitem_139 = gates_19[(slice(None, None, None), slice(3, None, None))]
+        gates_19 = None
+        mul_98 = ctx_global_19 * getitem_139
+        ctx_global_19 = getitem_139 = None
+        ctx_all_79 = ctx_all_78 + mul_98
+        ctx_all_78 = mul_98 = None
+        conv2d_159 = torch.conv2d(
+            ctx_all_79,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_79 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_57 = q_19 * conv2d_159
+        q_19 = conv2d_159 = None
+        x_out_58 = torch.conv2d(
+            x_out_57,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_57 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_59 = torch.nn.functional.dropout(x_out_58, 0.0, False, False)
+        x_out_58 = None
+        x_282 = x_277 + x_out_59
+        x_277 = x_out_59 = None
+        x_283 = x_282.permute(0, 2, 3, 1)
+        x_284 = torch.nn.functional.layer_norm(
+            x_283,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_283 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_ = (None)
+        x_285 = x_284.permute(0, 3, 1, 2)
+        x_284 = None
+        x_286 = torch.conv2d(
+            x_285,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_285 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_287 = torch._C._nn.gelu(x_286, approximate="none")
+        x_286 = None
+        x_288 = torch.nn.functional.dropout(x_287, 0.0, False, False)
+        x_287 = None
+        x_289 = torch.conv2d(
+            x_288,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_288 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_290 = torch.nn.functional.dropout(x_289, 0.0, False, False)
+        x_289 = None
+        x_291 = x_282 + x_290
+        x_282 = x_290 = None
+        x_292 = x_291.permute(0, 2, 3, 1)
+        x_293 = torch.nn.functional.layer_norm(
+            x_292,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_292 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_ = (None)
+        x_294 = x_293.permute(0, 3, 1, 2)
+        x_293 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_20 = torch.functional.split(x_295, [384, 384, 4], 1)
+        x_295 = None
+        q_20 = split_20[0]
+        ctx_20 = split_20[1]
+        gates_20 = split_20[2]
+        split_20 = None
+        input_121 = torch.conv2d(
+            ctx_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_20 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_122 = torch._C._nn.gelu(input_121, approximate="none")
+        input_121 = None
+        getitem_143 = gates_20[(slice(None, None, None), slice(0, 1, None))]
+        mul_100 = input_122 * getitem_143
+        getitem_143 = None
+        ctx_all_80 = 0 + mul_100
+        mul_100 = None
+        input_123 = torch.conv2d(
+            input_122,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_122 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_124 = torch._C._nn.gelu(input_123, approximate="none")
+        input_123 = None
+        getitem_144 = gates_20[(slice(None, None, None), slice(1, 2, None))]
+        mul_101 = input_124 * getitem_144
+        getitem_144 = None
+        ctx_all_81 = ctx_all_80 + mul_101
+        ctx_all_80 = mul_101 = None
+        input_125 = torch.conv2d(
+            input_124,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_124 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_126 = torch._C._nn.gelu(input_125, approximate="none")
+        input_125 = None
+        getitem_145 = gates_20[(slice(None, None, None), slice(2, 3, None))]
+        mul_102 = input_126 * getitem_145
+        getitem_145 = None
+        ctx_all_82 = ctx_all_81 + mul_102
+        ctx_all_81 = mul_102 = None
+        mean_20 = input_126.mean((2, 3), keepdim=True)
+        input_126 = None
+        ctx_global_20 = torch._C._nn.gelu(mean_20, approximate="none")
+        mean_20 = None
+        getitem_146 = gates_20[(slice(None, None, None), slice(3, None, None))]
+        gates_20 = None
+        mul_103 = ctx_global_20 * getitem_146
+        ctx_global_20 = getitem_146 = None
+        ctx_all_83 = ctx_all_82 + mul_103
+        ctx_all_82 = mul_103 = None
+        conv2d_167 = torch.conv2d(
+            ctx_all_83,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_83 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_60 = q_20 * conv2d_167
+        q_20 = conv2d_167 = None
+        x_out_61 = torch.conv2d(
+            x_out_60,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_60 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_62 = torch.nn.functional.dropout(x_out_61, 0.0, False, False)
+        x_out_61 = None
+        x_296 = x_291 + x_out_62
+        x_291 = x_out_62 = None
+        x_297 = x_296.permute(0, 2, 3, 1)
+        x_298 = torch.nn.functional.layer_norm(
+            x_297,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_297 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_ = (None)
+        x_299 = x_298.permute(0, 3, 1, 2)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_299 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_301 = torch._C._nn.gelu(x_300, approximate="none")
+        x_300 = None
+        x_302 = torch.nn.functional.dropout(x_301, 0.0, False, False)
+        x_301 = None
+        x_303 = torch.conv2d(
+            x_302,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_302 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_304 = torch.nn.functional.dropout(x_303, 0.0, False, False)
+        x_303 = None
+        x_305 = x_296 + x_304
+        x_296 = x_304 = None
+        x_306 = x_305.permute(0, 2, 3, 1)
+        x_307 = torch.nn.functional.layer_norm(
+            x_306,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_306 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_ = (None)
+        x_308 = x_307.permute(0, 3, 1, 2)
+        x_307 = None
+        x_309 = torch.conv2d(
+            x_308,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_308 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_21 = torch.functional.split(x_309, [384, 384, 4], 1)
+        x_309 = None
+        q_21 = split_21[0]
+        ctx_21 = split_21[1]
+        gates_21 = split_21[2]
+        split_21 = None
+        input_127 = torch.conv2d(
+            ctx_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_21 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_128 = torch._C._nn.gelu(input_127, approximate="none")
+        input_127 = None
+        getitem_150 = gates_21[(slice(None, None, None), slice(0, 1, None))]
+        mul_105 = input_128 * getitem_150
+        getitem_150 = None
+        ctx_all_84 = 0 + mul_105
+        mul_105 = None
+        input_129 = torch.conv2d(
+            input_128,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_128 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_130 = torch._C._nn.gelu(input_129, approximate="none")
+        input_129 = None
+        getitem_151 = gates_21[(slice(None, None, None), slice(1, 2, None))]
+        mul_106 = input_130 * getitem_151
+        getitem_151 = None
+        ctx_all_85 = ctx_all_84 + mul_106
+        ctx_all_84 = mul_106 = None
+        input_131 = torch.conv2d(
+            input_130,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_130 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_132 = torch._C._nn.gelu(input_131, approximate="none")
+        input_131 = None
+        getitem_152 = gates_21[(slice(None, None, None), slice(2, 3, None))]
+        mul_107 = input_132 * getitem_152
+        getitem_152 = None
+        ctx_all_86 = ctx_all_85 + mul_107
+        ctx_all_85 = mul_107 = None
+        mean_21 = input_132.mean((2, 3), keepdim=True)
+        input_132 = None
+        ctx_global_21 = torch._C._nn.gelu(mean_21, approximate="none")
+        mean_21 = None
+        getitem_153 = gates_21[(slice(None, None, None), slice(3, None, None))]
+        gates_21 = None
+        mul_108 = ctx_global_21 * getitem_153
+        ctx_global_21 = getitem_153 = None
+        ctx_all_87 = ctx_all_86 + mul_108
+        ctx_all_86 = mul_108 = None
+        conv2d_175 = torch.conv2d(
+            ctx_all_87,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_87 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_63 = q_21 * conv2d_175
+        q_21 = conv2d_175 = None
+        x_out_64 = torch.conv2d(
+            x_out_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_63 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_65 = torch.nn.functional.dropout(x_out_64, 0.0, False, False)
+        x_out_64 = None
+        x_310 = x_305 + x_out_65
+        x_305 = x_out_65 = None
+        x_311 = x_310.permute(0, 2, 3, 1)
+        x_312 = torch.nn.functional.layer_norm(
+            x_311,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_311 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_ = (None)
+        x_313 = x_312.permute(0, 3, 1, 2)
+        x_312 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_315 = torch._C._nn.gelu(x_314, approximate="none")
+        x_314 = None
+        x_316 = torch.nn.functional.dropout(x_315, 0.0, False, False)
+        x_315 = None
+        x_317 = torch.conv2d(
+            x_316,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_316 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_318 = torch.nn.functional.dropout(x_317, 0.0, False, False)
+        x_317 = None
+        x_319 = x_310 + x_318
+        x_310 = x_318 = None
+        x_320 = torch.conv2d(
+            x_319,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_319 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_321 = x_320.permute(0, 2, 3, 1)
+        x_320 = None
+        x_322 = torch.nn.functional.layer_norm(
+            x_321,
+            (768,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_321 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_323 = x_322.permute(0, 3, 1, 2)
+        x_322 = None
+        x_324 = x_323.permute(0, 2, 3, 1)
+        x_325 = torch.nn.functional.layer_norm(
+            x_324,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_324 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_326 = x_325.permute(0, 3, 1, 2)
+        x_325 = None
+        x_327 = torch.conv2d(
+            x_326,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_326 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_22 = torch.functional.split(x_327, [768, 768, 4], 1)
+        x_327 = None
+        q_22 = split_22[0]
+        ctx_22 = split_22[1]
+        gates_22 = split_22[2]
+        split_22 = None
+        input_133 = torch.conv2d(
+            ctx_22,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_22 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_134 = torch._C._nn.gelu(input_133, approximate="none")
+        input_133 = None
+        getitem_157 = gates_22[(slice(None, None, None), slice(0, 1, None))]
+        mul_110 = input_134 * getitem_157
+        getitem_157 = None
+        ctx_all_88 = 0 + mul_110
+        mul_110 = None
+        input_135 = torch.conv2d(
+            input_134,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_134 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_136 = torch._C._nn.gelu(input_135, approximate="none")
+        input_135 = None
+        getitem_158 = gates_22[(slice(None, None, None), slice(1, 2, None))]
+        mul_111 = input_136 * getitem_158
+        getitem_158 = None
+        ctx_all_89 = ctx_all_88 + mul_111
+        ctx_all_88 = mul_111 = None
+        input_137 = torch.conv2d(
+            input_136,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_136 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_138 = torch._C._nn.gelu(input_137, approximate="none")
+        input_137 = None
+        getitem_159 = gates_22[(slice(None, None, None), slice(2, 3, None))]
+        mul_112 = input_138 * getitem_159
+        getitem_159 = None
+        ctx_all_90 = ctx_all_89 + mul_112
+        ctx_all_89 = mul_112 = None
+        mean_22 = input_138.mean((2, 3), keepdim=True)
+        input_138 = None
+        ctx_global_22 = torch._C._nn.gelu(mean_22, approximate="none")
+        mean_22 = None
+        getitem_160 = gates_22[(slice(None, None, None), slice(3, None, None))]
+        gates_22 = None
+        mul_113 = ctx_global_22 * getitem_160
+        ctx_global_22 = getitem_160 = None
+        ctx_all_91 = ctx_all_90 + mul_113
+        ctx_all_90 = mul_113 = None
+        conv2d_184 = torch.conv2d(
+            ctx_all_91,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_91 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_66 = q_22 * conv2d_184
+        q_22 = conv2d_184 = None
+        x_out_67 = torch.conv2d(
+            x_out_66,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_66 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_68 = torch.nn.functional.dropout(x_out_67, 0.0, False, False)
+        x_out_67 = None
+        x_328 = x_323 + x_out_68
+        x_323 = x_out_68 = None
+        x_329 = x_328.permute(0, 2, 3, 1)
+        x_330 = torch.nn.functional.layer_norm(
+            x_329,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_329 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_331 = x_330.permute(0, 3, 1, 2)
+        x_330 = None
+        x_332 = torch.conv2d(
+            x_331,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_331 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_333 = torch._C._nn.gelu(x_332, approximate="none")
+        x_332 = None
+        x_334 = torch.nn.functional.dropout(x_333, 0.0, False, False)
+        x_333 = None
+        x_335 = torch.conv2d(
+            x_334,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_334 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_336 = torch.nn.functional.dropout(x_335, 0.0, False, False)
+        x_335 = None
+        x_337 = x_328 + x_336
+        x_328 = x_336 = None
+        x_338 = x_337.permute(0, 2, 3, 1)
+        x_339 = torch.nn.functional.layer_norm(
+            x_338,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_338 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_340 = x_339.permute(0, 3, 1, 2)
+        x_339 = None
+        x_341 = torch.conv2d(
+            x_340,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_340 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_23 = torch.functional.split(x_341, [768, 768, 4], 1)
+        x_341 = None
+        q_23 = split_23[0]
+        ctx_23 = split_23[1]
+        gates_23 = split_23[2]
+        split_23 = None
+        input_139 = torch.conv2d(
+            ctx_23,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_23 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_140 = torch._C._nn.gelu(input_139, approximate="none")
+        input_139 = None
+        getitem_164 = gates_23[(slice(None, None, None), slice(0, 1, None))]
+        mul_115 = input_140 * getitem_164
+        getitem_164 = None
+        ctx_all_92 = 0 + mul_115
+        mul_115 = None
+        input_141 = torch.conv2d(
+            input_140,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_140 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_142 = torch._C._nn.gelu(input_141, approximate="none")
+        input_141 = None
+        getitem_165 = gates_23[(slice(None, None, None), slice(1, 2, None))]
+        mul_116 = input_142 * getitem_165
+        getitem_165 = None
+        ctx_all_93 = ctx_all_92 + mul_116
+        ctx_all_92 = mul_116 = None
+        input_143 = torch.conv2d(
+            input_142,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_142 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_144 = torch._C._nn.gelu(input_143, approximate="none")
+        input_143 = None
+        getitem_166 = gates_23[(slice(None, None, None), slice(2, 3, None))]
+        mul_117 = input_144 * getitem_166
+        getitem_166 = None
+        ctx_all_94 = ctx_all_93 + mul_117
+        ctx_all_93 = mul_117 = None
+        mean_23 = input_144.mean((2, 3), keepdim=True)
+        input_144 = None
+        ctx_global_23 = torch._C._nn.gelu(mean_23, approximate="none")
+        mean_23 = None
+        getitem_167 = gates_23[(slice(None, None, None), slice(3, None, None))]
+        gates_23 = None
+        mul_118 = ctx_global_23 * getitem_167
+        ctx_global_23 = getitem_167 = None
+        ctx_all_95 = ctx_all_94 + mul_118
+        ctx_all_94 = mul_118 = None
+        conv2d_192 = torch.conv2d(
+            ctx_all_95,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_95 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_69 = q_23 * conv2d_192
+        q_23 = conv2d_192 = None
+        x_out_70 = torch.conv2d(
+            x_out_69,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_69 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_71 = torch.nn.functional.dropout(x_out_70, 0.0, False, False)
+        x_out_70 = None
+        x_342 = x_337 + x_out_71
+        x_337 = x_out_71 = None
+        x_343 = x_342.permute(0, 2, 3, 1)
+        x_344 = torch.nn.functional.layer_norm(
+            x_343,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_343 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_345 = x_344.permute(0, 3, 1, 2)
+        x_344 = None
+        x_346 = torch.conv2d(
+            x_345,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_345 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_347 = torch._C._nn.gelu(x_346, approximate="none")
+        x_346 = None
+        x_348 = torch.nn.functional.dropout(x_347, 0.0, False, False)
+        x_347 = None
+        x_349 = torch.conv2d(
+            x_348,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_348 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_350 = torch.nn.functional.dropout(x_349, 0.0, False, False)
+        x_349 = None
+        x_351 = x_342 + x_350
+        x_342 = x_350 = None
+        x_352 = x_351.permute(0, 2, 3, 1)
+        x_351 = None
+        x_353 = torch.nn.functional.layer_norm(
+            x_352,
+            (768,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_352 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_354 = x_353.permute(0, 3, 1, 2)
+        x_353 = None
+        x_355 = torch.nn.functional.adaptive_avg_pool2d(x_354, 1)
+        x_354 = None
+        x_356 = x_355.flatten(1, -1)
+        x_355 = None
+        x_357 = torch.nn.functional.dropout(x_356, 0.0, False, False)
+        x_356 = None
+        x_358 = torch._C._nn.linear(
+            x_357,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_357 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_358,)
diff --git a/samples/timm/focalnet_small_lrf.ms_in1k/weight_meta.py b/samples/timm/focalnet_small_lrf.ms_in1k/weight_meta.py
new file mode 100644
index 000000000..001e5ab14
--- /dev/null
+++ b/samples/timm/focalnet_small_lrf.ms_in1k/weight_meta.py
@@ -0,0 +1,4298 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [96, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.225
+    std = 1.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [196, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [96, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [196, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [96, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [192, 96, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [388, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [388]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [388, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [388]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [384, 192, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [768, 384, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_small_srf.ms_in1k/graph_hash.txt b/samples/timm/focalnet_small_srf.ms_in1k/graph_hash.txt
new file mode 100644
index 000000000..b5b6efe80
--- /dev/null
+++ b/samples/timm/focalnet_small_srf.ms_in1k/graph_hash.txt
@@ -0,0 +1 @@
+d5fdec58a54d917acdcb8b3a22d4dca3fc855ee341fa27b1e094e3df7f879550
\ No newline at end of file
diff --git a/samples/timm/focalnet_small_srf.ms_in1k/graph_net.json b/samples/timm/focalnet_small_srf.ms_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_small_srf.ms_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_small_srf.ms_in1k/input_meta.py b/samples/timm/focalnet_small_srf.ms_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_small_srf.ms_in1k/input_tensor_constraints.py b/samples/timm/focalnet_small_srf.ms_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_small_srf.ms_in1k/model.py b/samples/timm/focalnet_small_srf.ms_in1k/model.py
new file mode 100644
index 000000000..33b92526c
--- /dev/null
+++ b/samples/timm/focalnet_small_srf.ms_in1k/model.py
@@ -0,0 +1,4215 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (96,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = x_3.permute(0, 2, 3, 1)
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_6 = x_5.permute(0, 3, 1, 2)
+        x_5 = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_7, [96, 96, 3], 1)
+        x_7 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        mean = input_4.mean((2, 3), keepdim=True)
+        input_4 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, None, None))]
+        gates = None
+        mul_2 = ctx_global * getitem_5
+        ctx_global = getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        conv2d_4 = torch.conv2d(
+            ctx_all_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_4
+        q = conv2d_4 = None
+        x_out_1 = torch.conv2d(
+            x_out,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_8 = x_3 + x_out_2
+        x_3 = x_out_2 = None
+        x_9 = x_8.permute(0, 2, 3, 1)
+        x_10 = torch.nn.functional.layer_norm(
+            x_9,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_9 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_11 = x_10.permute(0, 3, 1, 2)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_13 = torch._C._nn.gelu(x_12, approximate="none")
+        x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_8 + x_16
+        x_8 = x_16 = None
+        x_18 = x_17.permute(0, 2, 3, 1)
+        x_19 = torch.nn.functional.layer_norm(
+            x_18,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_18 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_20 = x_19.permute(0, 3, 1, 2)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_21, [96, 96, 3], 1)
+        x_21 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_5 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_9 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_4 = input_6 * getitem_9
+        getitem_9 = None
+        ctx_all_3 = 0 + mul_4
+        mul_4 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        input_6 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_10 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_5 = input_8 * getitem_10
+        getitem_10 = None
+        ctx_all_4 = ctx_all_3 + mul_5
+        ctx_all_3 = mul_5 = None
+        mean_1 = input_8.mean((2, 3), keepdim=True)
+        input_8 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(2, None, None))]
+        gates_1 = None
+        mul_6 = ctx_global_1 * getitem_11
+        ctx_global_1 = getitem_11 = None
+        ctx_all_5 = ctx_all_4 + mul_6
+        ctx_all_4 = mul_6 = None
+        conv2d_11 = torch.conv2d(
+            ctx_all_5,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_5 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_11
+        q_1 = conv2d_11 = None
+        x_out_4 = torch.conv2d(
+            x_out_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_22 = x_17 + x_out_5
+        x_17 = x_out_5 = None
+        x_23 = x_22.permute(0, 2, 3, 1)
+        x_24 = torch.nn.functional.layer_norm(
+            x_23,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_23 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_25 = x_24.permute(0, 3, 1, 2)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_27 = torch._C._nn.gelu(x_26, approximate="none")
+        x_26 = None
+        x_28 = torch.nn.functional.dropout(x_27, 0.0, False, False)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.dropout(x_29, 0.0, False, False)
+        x_29 = None
+        x_31 = x_22 + x_30
+        x_22 = x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_33 = x_32.permute(0, 2, 3, 1)
+        x_32 = None
+        x_34 = torch.nn.functional.layer_norm(
+            x_33,
+            (192,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_33 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_35 = x_34.permute(0, 3, 1, 2)
+        x_34 = None
+        x_36 = x_35.permute(0, 2, 3, 1)
+        x_37 = torch.nn.functional.layer_norm(
+            x_36,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_36 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_38 = x_37.permute(0, 3, 1, 2)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_39, [192, 192, 3], 1)
+        x_39 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_9 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_15 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_8 = input_10 * getitem_15
+        getitem_15 = None
+        ctx_all_6 = 0 + mul_8
+        mul_8 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        input_10 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_16 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_9 = input_12 * getitem_16
+        getitem_16 = None
+        ctx_all_7 = ctx_all_6 + mul_9
+        ctx_all_6 = mul_9 = None
+        mean_2 = input_12.mean((2, 3), keepdim=True)
+        input_12 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_17 = gates_2[(slice(None, None, None), slice(2, None, None))]
+        gates_2 = None
+        mul_10 = ctx_global_2 * getitem_17
+        ctx_global_2 = getitem_17 = None
+        ctx_all_8 = ctx_all_7 + mul_10
+        ctx_all_7 = mul_10 = None
+        conv2d_19 = torch.conv2d(
+            ctx_all_8,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_8 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_19
+        q_2 = conv2d_19 = None
+        x_out_7 = torch.conv2d(
+            x_out_6,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_6 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_40 = x_35 + x_out_8
+        x_35 = x_out_8 = None
+        x_41 = x_40.permute(0, 2, 3, 1)
+        x_42 = torch.nn.functional.layer_norm(
+            x_41,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_41 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_43 = x_42.permute(0, 3, 1, 2)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_45 = torch._C._nn.gelu(x_44, approximate="none")
+        x_44 = None
+        x_46 = torch.nn.functional.dropout(x_45, 0.0, False, False)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_40 + x_48
+        x_40 = x_48 = None
+        x_50 = x_49.permute(0, 2, 3, 1)
+        x_51 = torch.nn.functional.layer_norm(
+            x_50,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_50 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_52 = x_51.permute(0, 3, 1, 2)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_53, [192, 192, 3], 1)
+        x_53 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_13 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_21 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_12 = input_14 * getitem_21
+        getitem_21 = None
+        ctx_all_9 = 0 + mul_12
+        mul_12 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        input_14 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_22 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_13 = input_16 * getitem_22
+        getitem_22 = None
+        ctx_all_10 = ctx_all_9 + mul_13
+        ctx_all_9 = mul_13 = None
+        mean_3 = input_16.mean((2, 3), keepdim=True)
+        input_16 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_23 = gates_3[(slice(None, None, None), slice(2, None, None))]
+        gates_3 = None
+        mul_14 = ctx_global_3 * getitem_23
+        ctx_global_3 = getitem_23 = None
+        ctx_all_11 = ctx_all_10 + mul_14
+        ctx_all_10 = mul_14 = None
+        conv2d_26 = torch.conv2d(
+            ctx_all_11,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_11 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_26
+        q_3 = conv2d_26 = None
+        x_out_10 = torch.conv2d(
+            x_out_9,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_9 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_54 = x_49 + x_out_11
+        x_49 = x_out_11 = None
+        x_55 = x_54.permute(0, 2, 3, 1)
+        x_56 = torch.nn.functional.layer_norm(
+            x_55,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_55 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_57 = x_56.permute(0, 3, 1, 2)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_59 = torch._C._nn.gelu(x_58, approximate="none")
+        x_58 = None
+        x_60 = torch.nn.functional.dropout(x_59, 0.0, False, False)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.dropout(x_61, 0.0, False, False)
+        x_61 = None
+        x_63 = x_54 + x_62
+        x_54 = x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 2, 3, 1)
+        x_64 = None
+        x_66 = torch.nn.functional.layer_norm(
+            x_65,
+            (384,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_65 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_67 = x_66.permute(0, 3, 1, 2)
+        x_66 = None
+        x_68 = x_67.permute(0, 2, 3, 1)
+        x_69 = torch.nn.functional.layer_norm(
+            x_68,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_68 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_70 = x_69.permute(0, 3, 1, 2)
+        x_69 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_71, [384, 384, 3], 1)
+        x_71 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_17 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_27 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_16 = input_18 * getitem_27
+        getitem_27 = None
+        ctx_all_12 = 0 + mul_16
+        mul_16 = None
+        input_19 = torch.conv2d(
+            input_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_18 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_28 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_17 = input_20 * getitem_28
+        getitem_28 = None
+        ctx_all_13 = ctx_all_12 + mul_17
+        ctx_all_12 = mul_17 = None
+        mean_4 = input_20.mean((2, 3), keepdim=True)
+        input_20 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_29 = gates_4[(slice(None, None, None), slice(2, None, None))]
+        gates_4 = None
+        mul_18 = ctx_global_4 * getitem_29
+        ctx_global_4 = getitem_29 = None
+        ctx_all_14 = ctx_all_13 + mul_18
+        ctx_all_13 = mul_18 = None
+        conv2d_34 = torch.conv2d(
+            ctx_all_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_14 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_34
+        q_4 = conv2d_34 = None
+        x_out_13 = torch.conv2d(
+            x_out_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_12 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_72 = x_67 + x_out_14
+        x_67 = x_out_14 = None
+        x_73 = x_72.permute(0, 2, 3, 1)
+        x_74 = torch.nn.functional.layer_norm(
+            x_73,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_73 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_75 = x_74.permute(0, 3, 1, 2)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_77 = torch._C._nn.gelu(x_76, approximate="none")
+        x_76 = None
+        x_78 = torch.nn.functional.dropout(x_77, 0.0, False, False)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.dropout(x_79, 0.0, False, False)
+        x_79 = None
+        x_81 = x_72 + x_80
+        x_72 = x_80 = None
+        x_82 = x_81.permute(0, 2, 3, 1)
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_82 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_84 = x_83.permute(0, 3, 1, 2)
+        x_83 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_84 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_85, [384, 384, 3], 1)
+        x_85 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_21 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_33 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_20 = input_22 * getitem_33
+        getitem_33 = None
+        ctx_all_15 = 0 + mul_20
+        mul_20 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_22 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_34 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_21 = input_24 * getitem_34
+        getitem_34 = None
+        ctx_all_16 = ctx_all_15 + mul_21
+        ctx_all_15 = mul_21 = None
+        mean_5 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_35 = gates_5[(slice(None, None, None), slice(2, None, None))]
+        gates_5 = None
+        mul_22 = ctx_global_5 * getitem_35
+        ctx_global_5 = getitem_35 = None
+        ctx_all_17 = ctx_all_16 + mul_22
+        ctx_all_16 = mul_22 = None
+        conv2d_41 = torch.conv2d(
+            ctx_all_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_17 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_41
+        q_5 = conv2d_41 = None
+        x_out_16 = torch.conv2d(
+            x_out_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_15 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_86 = x_81 + x_out_17
+        x_81 = x_out_17 = None
+        x_87 = x_86.permute(0, 2, 3, 1)
+        x_88 = torch.nn.functional.layer_norm(
+            x_87,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_87 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_89 = x_88.permute(0, 3, 1, 2)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_91 = torch._C._nn.gelu(x_90, approximate="none")
+        x_90 = None
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.dropout(x_93, 0.0, False, False)
+        x_93 = None
+        x_95 = x_86 + x_94
+        x_86 = x_94 = None
+        x_96 = x_95.permute(0, 2, 3, 1)
+        x_97 = torch.nn.functional.layer_norm(
+            x_96,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_96 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (None)
+        x_98 = x_97.permute(0, 3, 1, 2)
+        x_97 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_99, [384, 384, 3], 1)
+        x_99 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_25 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_39 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_24 = input_26 * getitem_39
+        getitem_39 = None
+        ctx_all_18 = 0 + mul_24
+        mul_24 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_26 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_40 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_25 = input_28 * getitem_40
+        getitem_40 = None
+        ctx_all_19 = ctx_all_18 + mul_25
+        ctx_all_18 = mul_25 = None
+        mean_6 = input_28.mean((2, 3), keepdim=True)
+        input_28 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_41 = gates_6[(slice(None, None, None), slice(2, None, None))]
+        gates_6 = None
+        mul_26 = ctx_global_6 * getitem_41
+        ctx_global_6 = getitem_41 = None
+        ctx_all_20 = ctx_all_19 + mul_26
+        ctx_all_19 = mul_26 = None
+        conv2d_48 = torch.conv2d(
+            ctx_all_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_20 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_48
+        q_6 = conv2d_48 = None
+        x_out_19 = torch.conv2d(
+            x_out_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_18 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_100 = x_95 + x_out_20
+        x_95 = x_out_20 = None
+        x_101 = x_100.permute(0, 2, 3, 1)
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_101 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (None)
+        x_103 = x_102.permute(0, 3, 1, 2)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_105 = torch._C._nn.gelu(x_104, approximate="none")
+        x_104 = None
+        x_106 = torch.nn.functional.dropout(x_105, 0.0, False, False)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.dropout(x_107, 0.0, False, False)
+        x_107 = None
+        x_109 = x_100 + x_108
+        x_100 = x_108 = None
+        x_110 = x_109.permute(0, 2, 3, 1)
+        x_111 = torch.nn.functional.layer_norm(
+            x_110,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_110 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (None)
+        x_112 = x_111.permute(0, 3, 1, 2)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_113, [384, 384, 3], 1)
+        x_113 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_29 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_45 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_28 = input_30 * getitem_45
+        getitem_45 = None
+        ctx_all_21 = 0 + mul_28
+        mul_28 = None
+        input_31 = torch.conv2d(
+            input_30,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_30 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_46 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_29 = input_32 * getitem_46
+        getitem_46 = None
+        ctx_all_22 = ctx_all_21 + mul_29
+        ctx_all_21 = mul_29 = None
+        mean_7 = input_32.mean((2, 3), keepdim=True)
+        input_32 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_47 = gates_7[(slice(None, None, None), slice(2, None, None))]
+        gates_7 = None
+        mul_30 = ctx_global_7 * getitem_47
+        ctx_global_7 = getitem_47 = None
+        ctx_all_23 = ctx_all_22 + mul_30
+        ctx_all_22 = mul_30 = None
+        conv2d_55 = torch.conv2d(
+            ctx_all_23,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_23 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_55
+        q_7 = conv2d_55 = None
+        x_out_22 = torch.conv2d(
+            x_out_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_21 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_114 = x_109 + x_out_23
+        x_109 = x_out_23 = None
+        x_115 = x_114.permute(0, 2, 3, 1)
+        x_116 = torch.nn.functional.layer_norm(
+            x_115,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_115 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (None)
+        x_117 = x_116.permute(0, 3, 1, 2)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_119 = torch._C._nn.gelu(x_118, approximate="none")
+        x_118 = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.dropout(x_121, 0.0, False, False)
+        x_121 = None
+        x_123 = x_114 + x_122
+        x_114 = x_122 = None
+        x_124 = x_123.permute(0, 2, 3, 1)
+        x_125 = torch.nn.functional.layer_norm(
+            x_124,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_124 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (None)
+        x_126 = x_125.permute(0, 3, 1, 2)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_127, [384, 384, 3], 1)
+        x_127 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_33 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_51 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_32 = input_34 * getitem_51
+        getitem_51 = None
+        ctx_all_24 = 0 + mul_32
+        mul_32 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_52 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_33 = input_36 * getitem_52
+        getitem_52 = None
+        ctx_all_25 = ctx_all_24 + mul_33
+        ctx_all_24 = mul_33 = None
+        mean_8 = input_36.mean((2, 3), keepdim=True)
+        input_36 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_53 = gates_8[(slice(None, None, None), slice(2, None, None))]
+        gates_8 = None
+        mul_34 = ctx_global_8 * getitem_53
+        ctx_global_8 = getitem_53 = None
+        ctx_all_26 = ctx_all_25 + mul_34
+        ctx_all_25 = mul_34 = None
+        conv2d_62 = torch.conv2d(
+            ctx_all_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_26 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_62
+        q_8 = conv2d_62 = None
+        x_out_25 = torch.conv2d(
+            x_out_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_24 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_128 = x_123 + x_out_26
+        x_123 = x_out_26 = None
+        x_129 = x_128.permute(0, 2, 3, 1)
+        x_130 = torch.nn.functional.layer_norm(
+            x_129,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_129 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (None)
+        x_131 = x_130.permute(0, 3, 1, 2)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_131 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_133 = torch._C._nn.gelu(x_132, approximate="none")
+        x_132 = None
+        x_134 = torch.nn.functional.dropout(x_133, 0.0, False, False)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.dropout(x_135, 0.0, False, False)
+        x_135 = None
+        x_137 = x_128 + x_136
+        x_128 = x_136 = None
+        x_138 = x_137.permute(0, 2, 3, 1)
+        x_139 = torch.nn.functional.layer_norm(
+            x_138,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_138 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (None)
+        x_140 = x_139.permute(0, 3, 1, 2)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_141, [384, 384, 3], 1)
+        x_141 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_37 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_57 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_36 = input_38 * getitem_57
+        getitem_57 = None
+        ctx_all_27 = 0 + mul_36
+        mul_36 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_58 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_37 = input_40 * getitem_58
+        getitem_58 = None
+        ctx_all_28 = ctx_all_27 + mul_37
+        ctx_all_27 = mul_37 = None
+        mean_9 = input_40.mean((2, 3), keepdim=True)
+        input_40 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_59 = gates_9[(slice(None, None, None), slice(2, None, None))]
+        gates_9 = None
+        mul_38 = ctx_global_9 * getitem_59
+        ctx_global_9 = getitem_59 = None
+        ctx_all_29 = ctx_all_28 + mul_38
+        ctx_all_28 = mul_38 = None
+        conv2d_69 = torch.conv2d(
+            ctx_all_29,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_29 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_69
+        q_9 = conv2d_69 = None
+        x_out_28 = torch.conv2d(
+            x_out_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_27 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_142 = x_137 + x_out_29
+        x_137 = x_out_29 = None
+        x_143 = x_142.permute(0, 2, 3, 1)
+        x_144 = torch.nn.functional.layer_norm(
+            x_143,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_143 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (None)
+        x_145 = x_144.permute(0, 3, 1, 2)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_147 = torch._C._nn.gelu(x_146, approximate="none")
+        x_146 = None
+        x_148 = torch.nn.functional.dropout(x_147, 0.0, False, False)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False)
+        x_149 = None
+        x_151 = x_142 + x_150
+        x_142 = x_150 = None
+        x_152 = x_151.permute(0, 2, 3, 1)
+        x_153 = torch.nn.functional.layer_norm(
+            x_152,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_152 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (None)
+        x_154 = x_153.permute(0, 3, 1, 2)
+        x_153 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_154 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_155, [384, 384, 3], 1)
+        x_155 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_41 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_10 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_63 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_40 = input_42 * getitem_63
+        getitem_63 = None
+        ctx_all_30 = 0 + mul_40
+        mul_40 = None
+        input_43 = torch.conv2d(
+            input_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_42 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_64 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_41 = input_44 * getitem_64
+        getitem_64 = None
+        ctx_all_31 = ctx_all_30 + mul_41
+        ctx_all_30 = mul_41 = None
+        mean_10 = input_44.mean((2, 3), keepdim=True)
+        input_44 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_65 = gates_10[(slice(None, None, None), slice(2, None, None))]
+        gates_10 = None
+        mul_42 = ctx_global_10 * getitem_65
+        ctx_global_10 = getitem_65 = None
+        ctx_all_32 = ctx_all_31 + mul_42
+        ctx_all_31 = mul_42 = None
+        conv2d_76 = torch.conv2d(
+            ctx_all_32,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_32 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_76
+        q_10 = conv2d_76 = None
+        x_out_31 = torch.conv2d(
+            x_out_30,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_30 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_156 = x_151 + x_out_32
+        x_151 = x_out_32 = None
+        x_157 = x_156.permute(0, 2, 3, 1)
+        x_158 = torch.nn.functional.layer_norm(
+            x_157,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_157 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (None)
+        x_159 = x_158.permute(0, 3, 1, 2)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_161 = torch._C._nn.gelu(x_160, approximate="none")
+        x_160 = None
+        x_162 = torch.nn.functional.dropout(x_161, 0.0, False, False)
+        x_161 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_164 = torch.nn.functional.dropout(x_163, 0.0, False, False)
+        x_163 = None
+        x_165 = x_156 + x_164
+        x_156 = x_164 = None
+        x_166 = x_165.permute(0, 2, 3, 1)
+        x_167 = torch.nn.functional.layer_norm(
+            x_166,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_166 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (None)
+        x_168 = x_167.permute(0, 3, 1, 2)
+        x_167 = None
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_168 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_169, [384, 384, 3], 1)
+        x_169 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_45 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_11 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_69 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_44 = input_46 * getitem_69
+        getitem_69 = None
+        ctx_all_33 = 0 + mul_44
+        mul_44 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_46 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_70 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_45 = input_48 * getitem_70
+        getitem_70 = None
+        ctx_all_34 = ctx_all_33 + mul_45
+        ctx_all_33 = mul_45 = None
+        mean_11 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_71 = gates_11[(slice(None, None, None), slice(2, None, None))]
+        gates_11 = None
+        mul_46 = ctx_global_11 * getitem_71
+        ctx_global_11 = getitem_71 = None
+        ctx_all_35 = ctx_all_34 + mul_46
+        ctx_all_34 = mul_46 = None
+        conv2d_83 = torch.conv2d(
+            ctx_all_35,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_35 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_83
+        q_11 = conv2d_83 = None
+        x_out_34 = torch.conv2d(
+            x_out_33,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_33 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_170 = x_165 + x_out_35
+        x_165 = x_out_35 = None
+        x_171 = x_170.permute(0, 2, 3, 1)
+        x_172 = torch.nn.functional.layer_norm(
+            x_171,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_171 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (None)
+        x_173 = x_172.permute(0, 3, 1, 2)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_175 = torch._C._nn.gelu(x_174, approximate="none")
+        x_174 = None
+        x_176 = torch.nn.functional.dropout(x_175, 0.0, False, False)
+        x_175 = None
+        x_177 = torch.conv2d(
+            x_176,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_176 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_178 = torch.nn.functional.dropout(x_177, 0.0, False, False)
+        x_177 = None
+        x_179 = x_170 + x_178
+        x_170 = x_178 = None
+        x_180 = x_179.permute(0, 2, 3, 1)
+        x_181 = torch.nn.functional.layer_norm(
+            x_180,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_180 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (None)
+        x_182 = x_181.permute(0, 3, 1, 2)
+        x_181 = None
+        x_183 = torch.conv2d(
+            x_182,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_182 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_12 = torch.functional.split(x_183, [384, 384, 3], 1)
+        x_183 = None
+        q_12 = split_12[0]
+        ctx_12 = split_12[1]
+        gates_12 = split_12[2]
+        split_12 = None
+        input_49 = torch.conv2d(
+            ctx_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_12 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_50 = torch._C._nn.gelu(input_49, approximate="none")
+        input_49 = None
+        getitem_75 = gates_12[(slice(None, None, None), slice(0, 1, None))]
+        mul_48 = input_50 * getitem_75
+        getitem_75 = None
+        ctx_all_36 = 0 + mul_48
+        mul_48 = None
+        input_51 = torch.conv2d(
+            input_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_50 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_52 = torch._C._nn.gelu(input_51, approximate="none")
+        input_51 = None
+        getitem_76 = gates_12[(slice(None, None, None), slice(1, 2, None))]
+        mul_49 = input_52 * getitem_76
+        getitem_76 = None
+        ctx_all_37 = ctx_all_36 + mul_49
+        ctx_all_36 = mul_49 = None
+        mean_12 = input_52.mean((2, 3), keepdim=True)
+        input_52 = None
+        ctx_global_12 = torch._C._nn.gelu(mean_12, approximate="none")
+        mean_12 = None
+        getitem_77 = gates_12[(slice(None, None, None), slice(2, None, None))]
+        gates_12 = None
+        mul_50 = ctx_global_12 * getitem_77
+        ctx_global_12 = getitem_77 = None
+        ctx_all_38 = ctx_all_37 + mul_50
+        ctx_all_37 = mul_50 = None
+        conv2d_90 = torch.conv2d(
+            ctx_all_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_38 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_36 = q_12 * conv2d_90
+        q_12 = conv2d_90 = None
+        x_out_37 = torch.conv2d(
+            x_out_36,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_36 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_38 = torch.nn.functional.dropout(x_out_37, 0.0, False, False)
+        x_out_37 = None
+        x_184 = x_179 + x_out_38
+        x_179 = x_out_38 = None
+        x_185 = x_184.permute(0, 2, 3, 1)
+        x_186 = torch.nn.functional.layer_norm(
+            x_185,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_185 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (None)
+        x_187 = x_186.permute(0, 3, 1, 2)
+        x_186 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_187 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_189 = torch._C._nn.gelu(x_188, approximate="none")
+        x_188 = None
+        x_190 = torch.nn.functional.dropout(x_189, 0.0, False, False)
+        x_189 = None
+        x_191 = torch.conv2d(
+            x_190,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_190 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_192 = torch.nn.functional.dropout(x_191, 0.0, False, False)
+        x_191 = None
+        x_193 = x_184 + x_192
+        x_184 = x_192 = None
+        x_194 = x_193.permute(0, 2, 3, 1)
+        x_195 = torch.nn.functional.layer_norm(
+            x_194,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_194 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (None)
+        x_196 = x_195.permute(0, 3, 1, 2)
+        x_195 = None
+        x_197 = torch.conv2d(
+            x_196,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_196 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_13 = torch.functional.split(x_197, [384, 384, 3], 1)
+        x_197 = None
+        q_13 = split_13[0]
+        ctx_13 = split_13[1]
+        gates_13 = split_13[2]
+        split_13 = None
+        input_53 = torch.conv2d(
+            ctx_13,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_13 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_54 = torch._C._nn.gelu(input_53, approximate="none")
+        input_53 = None
+        getitem_81 = gates_13[(slice(None, None, None), slice(0, 1, None))]
+        mul_52 = input_54 * getitem_81
+        getitem_81 = None
+        ctx_all_39 = 0 + mul_52
+        mul_52 = None
+        input_55 = torch.conv2d(
+            input_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_54 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_56 = torch._C._nn.gelu(input_55, approximate="none")
+        input_55 = None
+        getitem_82 = gates_13[(slice(None, None, None), slice(1, 2, None))]
+        mul_53 = input_56 * getitem_82
+        getitem_82 = None
+        ctx_all_40 = ctx_all_39 + mul_53
+        ctx_all_39 = mul_53 = None
+        mean_13 = input_56.mean((2, 3), keepdim=True)
+        input_56 = None
+        ctx_global_13 = torch._C._nn.gelu(mean_13, approximate="none")
+        mean_13 = None
+        getitem_83 = gates_13[(slice(None, None, None), slice(2, None, None))]
+        gates_13 = None
+        mul_54 = ctx_global_13 * getitem_83
+        ctx_global_13 = getitem_83 = None
+        ctx_all_41 = ctx_all_40 + mul_54
+        ctx_all_40 = mul_54 = None
+        conv2d_97 = torch.conv2d(
+            ctx_all_41,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_41 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_39 = q_13 * conv2d_97
+        q_13 = conv2d_97 = None
+        x_out_40 = torch.conv2d(
+            x_out_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_39 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_41 = torch.nn.functional.dropout(x_out_40, 0.0, False, False)
+        x_out_40 = None
+        x_198 = x_193 + x_out_41
+        x_193 = x_out_41 = None
+        x_199 = x_198.permute(0, 2, 3, 1)
+        x_200 = torch.nn.functional.layer_norm(
+            x_199,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_199 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (None)
+        x_201 = x_200.permute(0, 3, 1, 2)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_201 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_203 = torch._C._nn.gelu(x_202, approximate="none")
+        x_202 = None
+        x_204 = torch.nn.functional.dropout(x_203, 0.0, False, False)
+        x_203 = None
+        x_205 = torch.conv2d(
+            x_204,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_204 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_206 = torch.nn.functional.dropout(x_205, 0.0, False, False)
+        x_205 = None
+        x_207 = x_198 + x_206
+        x_198 = x_206 = None
+        x_208 = x_207.permute(0, 2, 3, 1)
+        x_209 = torch.nn.functional.layer_norm(
+            x_208,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_208 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (None)
+        x_210 = x_209.permute(0, 3, 1, 2)
+        x_209 = None
+        x_211 = torch.conv2d(
+            x_210,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_210 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_14 = torch.functional.split(x_211, [384, 384, 3], 1)
+        x_211 = None
+        q_14 = split_14[0]
+        ctx_14 = split_14[1]
+        gates_14 = split_14[2]
+        split_14 = None
+        input_57 = torch.conv2d(
+            ctx_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_14 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_58 = torch._C._nn.gelu(input_57, approximate="none")
+        input_57 = None
+        getitem_87 = gates_14[(slice(None, None, None), slice(0, 1, None))]
+        mul_56 = input_58 * getitem_87
+        getitem_87 = None
+        ctx_all_42 = 0 + mul_56
+        mul_56 = None
+        input_59 = torch.conv2d(
+            input_58,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_58 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_60 = torch._C._nn.gelu(input_59, approximate="none")
+        input_59 = None
+        getitem_88 = gates_14[(slice(None, None, None), slice(1, 2, None))]
+        mul_57 = input_60 * getitem_88
+        getitem_88 = None
+        ctx_all_43 = ctx_all_42 + mul_57
+        ctx_all_42 = mul_57 = None
+        mean_14 = input_60.mean((2, 3), keepdim=True)
+        input_60 = None
+        ctx_global_14 = torch._C._nn.gelu(mean_14, approximate="none")
+        mean_14 = None
+        getitem_89 = gates_14[(slice(None, None, None), slice(2, None, None))]
+        gates_14 = None
+        mul_58 = ctx_global_14 * getitem_89
+        ctx_global_14 = getitem_89 = None
+        ctx_all_44 = ctx_all_43 + mul_58
+        ctx_all_43 = mul_58 = None
+        conv2d_104 = torch.conv2d(
+            ctx_all_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_44 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_42 = q_14 * conv2d_104
+        q_14 = conv2d_104 = None
+        x_out_43 = torch.conv2d(
+            x_out_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_42 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_44 = torch.nn.functional.dropout(x_out_43, 0.0, False, False)
+        x_out_43 = None
+        x_212 = x_207 + x_out_44
+        x_207 = x_out_44 = None
+        x_213 = x_212.permute(0, 2, 3, 1)
+        x_214 = torch.nn.functional.layer_norm(
+            x_213,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_213 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (None)
+        x_215 = x_214.permute(0, 3, 1, 2)
+        x_214 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_215 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_217 = torch._C._nn.gelu(x_216, approximate="none")
+        x_216 = None
+        x_218 = torch.nn.functional.dropout(x_217, 0.0, False, False)
+        x_217 = None
+        x_219 = torch.conv2d(
+            x_218,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_218 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_220 = torch.nn.functional.dropout(x_219, 0.0, False, False)
+        x_219 = None
+        x_221 = x_212 + x_220
+        x_212 = x_220 = None
+        x_222 = x_221.permute(0, 2, 3, 1)
+        x_223 = torch.nn.functional.layer_norm(
+            x_222,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_222 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (None)
+        x_224 = x_223.permute(0, 3, 1, 2)
+        x_223 = None
+        x_225 = torch.conv2d(
+            x_224,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_224 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_15 = torch.functional.split(x_225, [384, 384, 3], 1)
+        x_225 = None
+        q_15 = split_15[0]
+        ctx_15 = split_15[1]
+        gates_15 = split_15[2]
+        split_15 = None
+        input_61 = torch.conv2d(
+            ctx_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_15 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_62 = torch._C._nn.gelu(input_61, approximate="none")
+        input_61 = None
+        getitem_93 = gates_15[(slice(None, None, None), slice(0, 1, None))]
+        mul_60 = input_62 * getitem_93
+        getitem_93 = None
+        ctx_all_45 = 0 + mul_60
+        mul_60 = None
+        input_63 = torch.conv2d(
+            input_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_62 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_64 = torch._C._nn.gelu(input_63, approximate="none")
+        input_63 = None
+        getitem_94 = gates_15[(slice(None, None, None), slice(1, 2, None))]
+        mul_61 = input_64 * getitem_94
+        getitem_94 = None
+        ctx_all_46 = ctx_all_45 + mul_61
+        ctx_all_45 = mul_61 = None
+        mean_15 = input_64.mean((2, 3), keepdim=True)
+        input_64 = None
+        ctx_global_15 = torch._C._nn.gelu(mean_15, approximate="none")
+        mean_15 = None
+        getitem_95 = gates_15[(slice(None, None, None), slice(2, None, None))]
+        gates_15 = None
+        mul_62 = ctx_global_15 * getitem_95
+        ctx_global_15 = getitem_95 = None
+        ctx_all_47 = ctx_all_46 + mul_62
+        ctx_all_46 = mul_62 = None
+        conv2d_111 = torch.conv2d(
+            ctx_all_47,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_47 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_45 = q_15 * conv2d_111
+        q_15 = conv2d_111 = None
+        x_out_46 = torch.conv2d(
+            x_out_45,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_45 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_47 = torch.nn.functional.dropout(x_out_46, 0.0, False, False)
+        x_out_46 = None
+        x_226 = x_221 + x_out_47
+        x_221 = x_out_47 = None
+        x_227 = x_226.permute(0, 2, 3, 1)
+        x_228 = torch.nn.functional.layer_norm(
+            x_227,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_227 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (None)
+        x_229 = x_228.permute(0, 3, 1, 2)
+        x_228 = None
+        x_230 = torch.conv2d(
+            x_229,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_229 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_231 = torch._C._nn.gelu(x_230, approximate="none")
+        x_230 = None
+        x_232 = torch.nn.functional.dropout(x_231, 0.0, False, False)
+        x_231 = None
+        x_233 = torch.conv2d(
+            x_232,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_232 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_234 = torch.nn.functional.dropout(x_233, 0.0, False, False)
+        x_233 = None
+        x_235 = x_226 + x_234
+        x_226 = x_234 = None
+        x_236 = x_235.permute(0, 2, 3, 1)
+        x_237 = torch.nn.functional.layer_norm(
+            x_236,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_236 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_ = (None)
+        x_238 = x_237.permute(0, 3, 1, 2)
+        x_237 = None
+        x_239 = torch.conv2d(
+            x_238,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_238 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_16 = torch.functional.split(x_239, [384, 384, 3], 1)
+        x_239 = None
+        q_16 = split_16[0]
+        ctx_16 = split_16[1]
+        gates_16 = split_16[2]
+        split_16 = None
+        input_65 = torch.conv2d(
+            ctx_16,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_16 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_66 = torch._C._nn.gelu(input_65, approximate="none")
+        input_65 = None
+        getitem_99 = gates_16[(slice(None, None, None), slice(0, 1, None))]
+        mul_64 = input_66 * getitem_99
+        getitem_99 = None
+        ctx_all_48 = 0 + mul_64
+        mul_64 = None
+        input_67 = torch.conv2d(
+            input_66,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_66 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_68 = torch._C._nn.gelu(input_67, approximate="none")
+        input_67 = None
+        getitem_100 = gates_16[(slice(None, None, None), slice(1, 2, None))]
+        mul_65 = input_68 * getitem_100
+        getitem_100 = None
+        ctx_all_49 = ctx_all_48 + mul_65
+        ctx_all_48 = mul_65 = None
+        mean_16 = input_68.mean((2, 3), keepdim=True)
+        input_68 = None
+        ctx_global_16 = torch._C._nn.gelu(mean_16, approximate="none")
+        mean_16 = None
+        getitem_101 = gates_16[(slice(None, None, None), slice(2, None, None))]
+        gates_16 = None
+        mul_66 = ctx_global_16 * getitem_101
+        ctx_global_16 = getitem_101 = None
+        ctx_all_50 = ctx_all_49 + mul_66
+        ctx_all_49 = mul_66 = None
+        conv2d_118 = torch.conv2d(
+            ctx_all_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_50 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_48 = q_16 * conv2d_118
+        q_16 = conv2d_118 = None
+        x_out_49 = torch.conv2d(
+            x_out_48,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_48 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_50 = torch.nn.functional.dropout(x_out_49, 0.0, False, False)
+        x_out_49 = None
+        x_240 = x_235 + x_out_50
+        x_235 = x_out_50 = None
+        x_241 = x_240.permute(0, 2, 3, 1)
+        x_242 = torch.nn.functional.layer_norm(
+            x_241,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_241 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_ = (None)
+        x_243 = x_242.permute(0, 3, 1, 2)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_243 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_245 = torch._C._nn.gelu(x_244, approximate="none")
+        x_244 = None
+        x_246 = torch.nn.functional.dropout(x_245, 0.0, False, False)
+        x_245 = None
+        x_247 = torch.conv2d(
+            x_246,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_246 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_248 = torch.nn.functional.dropout(x_247, 0.0, False, False)
+        x_247 = None
+        x_249 = x_240 + x_248
+        x_240 = x_248 = None
+        x_250 = x_249.permute(0, 2, 3, 1)
+        x_251 = torch.nn.functional.layer_norm(
+            x_250,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_250 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_ = (None)
+        x_252 = x_251.permute(0, 3, 1, 2)
+        x_251 = None
+        x_253 = torch.conv2d(
+            x_252,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_252 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_17 = torch.functional.split(x_253, [384, 384, 3], 1)
+        x_253 = None
+        q_17 = split_17[0]
+        ctx_17 = split_17[1]
+        gates_17 = split_17[2]
+        split_17 = None
+        input_69 = torch.conv2d(
+            ctx_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_17 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_70 = torch._C._nn.gelu(input_69, approximate="none")
+        input_69 = None
+        getitem_105 = gates_17[(slice(None, None, None), slice(0, 1, None))]
+        mul_68 = input_70 * getitem_105
+        getitem_105 = None
+        ctx_all_51 = 0 + mul_68
+        mul_68 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_70 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_72 = torch._C._nn.gelu(input_71, approximate="none")
+        input_71 = None
+        getitem_106 = gates_17[(slice(None, None, None), slice(1, 2, None))]
+        mul_69 = input_72 * getitem_106
+        getitem_106 = None
+        ctx_all_52 = ctx_all_51 + mul_69
+        ctx_all_51 = mul_69 = None
+        mean_17 = input_72.mean((2, 3), keepdim=True)
+        input_72 = None
+        ctx_global_17 = torch._C._nn.gelu(mean_17, approximate="none")
+        mean_17 = None
+        getitem_107 = gates_17[(slice(None, None, None), slice(2, None, None))]
+        gates_17 = None
+        mul_70 = ctx_global_17 * getitem_107
+        ctx_global_17 = getitem_107 = None
+        ctx_all_53 = ctx_all_52 + mul_70
+        ctx_all_52 = mul_70 = None
+        conv2d_125 = torch.conv2d(
+            ctx_all_53,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_53 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_51 = q_17 * conv2d_125
+        q_17 = conv2d_125 = None
+        x_out_52 = torch.conv2d(
+            x_out_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_51 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_53 = torch.nn.functional.dropout(x_out_52, 0.0, False, False)
+        x_out_52 = None
+        x_254 = x_249 + x_out_53
+        x_249 = x_out_53 = None
+        x_255 = x_254.permute(0, 2, 3, 1)
+        x_256 = torch.nn.functional.layer_norm(
+            x_255,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_255 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_ = (None)
+        x_257 = x_256.permute(0, 3, 1, 2)
+        x_256 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_257 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_259 = torch._C._nn.gelu(x_258, approximate="none")
+        x_258 = None
+        x_260 = torch.nn.functional.dropout(x_259, 0.0, False, False)
+        x_259 = None
+        x_261 = torch.conv2d(
+            x_260,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_260 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_262 = torch.nn.functional.dropout(x_261, 0.0, False, False)
+        x_261 = None
+        x_263 = x_254 + x_262
+        x_254 = x_262 = None
+        x_264 = x_263.permute(0, 2, 3, 1)
+        x_265 = torch.nn.functional.layer_norm(
+            x_264,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_264 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_ = (None)
+        x_266 = x_265.permute(0, 3, 1, 2)
+        x_265 = None
+        x_267 = torch.conv2d(
+            x_266,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_266 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_18 = torch.functional.split(x_267, [384, 384, 3], 1)
+        x_267 = None
+        q_18 = split_18[0]
+        ctx_18 = split_18[1]
+        gates_18 = split_18[2]
+        split_18 = None
+        input_73 = torch.conv2d(
+            ctx_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_18 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_74 = torch._C._nn.gelu(input_73, approximate="none")
+        input_73 = None
+        getitem_111 = gates_18[(slice(None, None, None), slice(0, 1, None))]
+        mul_72 = input_74 * getitem_111
+        getitem_111 = None
+        ctx_all_54 = 0 + mul_72
+        mul_72 = None
+        input_75 = torch.conv2d(
+            input_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_74 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_76 = torch._C._nn.gelu(input_75, approximate="none")
+        input_75 = None
+        getitem_112 = gates_18[(slice(None, None, None), slice(1, 2, None))]
+        mul_73 = input_76 * getitem_112
+        getitem_112 = None
+        ctx_all_55 = ctx_all_54 + mul_73
+        ctx_all_54 = mul_73 = None
+        mean_18 = input_76.mean((2, 3), keepdim=True)
+        input_76 = None
+        ctx_global_18 = torch._C._nn.gelu(mean_18, approximate="none")
+        mean_18 = None
+        getitem_113 = gates_18[(slice(None, None, None), slice(2, None, None))]
+        gates_18 = None
+        mul_74 = ctx_global_18 * getitem_113
+        ctx_global_18 = getitem_113 = None
+        ctx_all_56 = ctx_all_55 + mul_74
+        ctx_all_55 = mul_74 = None
+        conv2d_132 = torch.conv2d(
+            ctx_all_56,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_56 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_54 = q_18 * conv2d_132
+        q_18 = conv2d_132 = None
+        x_out_55 = torch.conv2d(
+            x_out_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_54 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_56 = torch.nn.functional.dropout(x_out_55, 0.0, False, False)
+        x_out_55 = None
+        x_268 = x_263 + x_out_56
+        x_263 = x_out_56 = None
+        x_269 = x_268.permute(0, 2, 3, 1)
+        x_270 = torch.nn.functional.layer_norm(
+            x_269,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_269 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_ = (None)
+        x_271 = x_270.permute(0, 3, 1, 2)
+        x_270 = None
+        x_272 = torch.conv2d(
+            x_271,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_271 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_273 = torch._C._nn.gelu(x_272, approximate="none")
+        x_272 = None
+        x_274 = torch.nn.functional.dropout(x_273, 0.0, False, False)
+        x_273 = None
+        x_275 = torch.conv2d(
+            x_274,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_274 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_276 = torch.nn.functional.dropout(x_275, 0.0, False, False)
+        x_275 = None
+        x_277 = x_268 + x_276
+        x_268 = x_276 = None
+        x_278 = x_277.permute(0, 2, 3, 1)
+        x_279 = torch.nn.functional.layer_norm(
+            x_278,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_278 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_ = (None)
+        x_280 = x_279.permute(0, 3, 1, 2)
+        x_279 = None
+        x_281 = torch.conv2d(
+            x_280,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_280 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_19 = torch.functional.split(x_281, [384, 384, 3], 1)
+        x_281 = None
+        q_19 = split_19[0]
+        ctx_19 = split_19[1]
+        gates_19 = split_19[2]
+        split_19 = None
+        input_77 = torch.conv2d(
+            ctx_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_19 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_78 = torch._C._nn.gelu(input_77, approximate="none")
+        input_77 = None
+        getitem_117 = gates_19[(slice(None, None, None), slice(0, 1, None))]
+        mul_76 = input_78 * getitem_117
+        getitem_117 = None
+        ctx_all_57 = 0 + mul_76
+        mul_76 = None
+        input_79 = torch.conv2d(
+            input_78,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_78 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_80 = torch._C._nn.gelu(input_79, approximate="none")
+        input_79 = None
+        getitem_118 = gates_19[(slice(None, None, None), slice(1, 2, None))]
+        mul_77 = input_80 * getitem_118
+        getitem_118 = None
+        ctx_all_58 = ctx_all_57 + mul_77
+        ctx_all_57 = mul_77 = None
+        mean_19 = input_80.mean((2, 3), keepdim=True)
+        input_80 = None
+        ctx_global_19 = torch._C._nn.gelu(mean_19, approximate="none")
+        mean_19 = None
+        getitem_119 = gates_19[(slice(None, None, None), slice(2, None, None))]
+        gates_19 = None
+        mul_78 = ctx_global_19 * getitem_119
+        ctx_global_19 = getitem_119 = None
+        ctx_all_59 = ctx_all_58 + mul_78
+        ctx_all_58 = mul_78 = None
+        conv2d_139 = torch.conv2d(
+            ctx_all_59,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_59 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_57 = q_19 * conv2d_139
+        q_19 = conv2d_139 = None
+        x_out_58 = torch.conv2d(
+            x_out_57,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_57 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_59 = torch.nn.functional.dropout(x_out_58, 0.0, False, False)
+        x_out_58 = None
+        x_282 = x_277 + x_out_59
+        x_277 = x_out_59 = None
+        x_283 = x_282.permute(0, 2, 3, 1)
+        x_284 = torch.nn.functional.layer_norm(
+            x_283,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_283 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_ = (None)
+        x_285 = x_284.permute(0, 3, 1, 2)
+        x_284 = None
+        x_286 = torch.conv2d(
+            x_285,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_285 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_287 = torch._C._nn.gelu(x_286, approximate="none")
+        x_286 = None
+        x_288 = torch.nn.functional.dropout(x_287, 0.0, False, False)
+        x_287 = None
+        x_289 = torch.conv2d(
+            x_288,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_288 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_290 = torch.nn.functional.dropout(x_289, 0.0, False, False)
+        x_289 = None
+        x_291 = x_282 + x_290
+        x_282 = x_290 = None
+        x_292 = x_291.permute(0, 2, 3, 1)
+        x_293 = torch.nn.functional.layer_norm(
+            x_292,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_292 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_ = (None)
+        x_294 = x_293.permute(0, 3, 1, 2)
+        x_293 = None
+        x_295 = torch.conv2d(
+            x_294,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_294 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_20 = torch.functional.split(x_295, [384, 384, 3], 1)
+        x_295 = None
+        q_20 = split_20[0]
+        ctx_20 = split_20[1]
+        gates_20 = split_20[2]
+        split_20 = None
+        input_81 = torch.conv2d(
+            ctx_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_20 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_82 = torch._C._nn.gelu(input_81, approximate="none")
+        input_81 = None
+        getitem_123 = gates_20[(slice(None, None, None), slice(0, 1, None))]
+        mul_80 = input_82 * getitem_123
+        getitem_123 = None
+        ctx_all_60 = 0 + mul_80
+        mul_80 = None
+        input_83 = torch.conv2d(
+            input_82,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_82 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_84 = torch._C._nn.gelu(input_83, approximate="none")
+        input_83 = None
+        getitem_124 = gates_20[(slice(None, None, None), slice(1, 2, None))]
+        mul_81 = input_84 * getitem_124
+        getitem_124 = None
+        ctx_all_61 = ctx_all_60 + mul_81
+        ctx_all_60 = mul_81 = None
+        mean_20 = input_84.mean((2, 3), keepdim=True)
+        input_84 = None
+        ctx_global_20 = torch._C._nn.gelu(mean_20, approximate="none")
+        mean_20 = None
+        getitem_125 = gates_20[(slice(None, None, None), slice(2, None, None))]
+        gates_20 = None
+        mul_82 = ctx_global_20 * getitem_125
+        ctx_global_20 = getitem_125 = None
+        ctx_all_62 = ctx_all_61 + mul_82
+        ctx_all_61 = mul_82 = None
+        conv2d_146 = torch.conv2d(
+            ctx_all_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_62 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_60 = q_20 * conv2d_146
+        q_20 = conv2d_146 = None
+        x_out_61 = torch.conv2d(
+            x_out_60,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_60 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_62 = torch.nn.functional.dropout(x_out_61, 0.0, False, False)
+        x_out_61 = None
+        x_296 = x_291 + x_out_62
+        x_291 = x_out_62 = None
+        x_297 = x_296.permute(0, 2, 3, 1)
+        x_298 = torch.nn.functional.layer_norm(
+            x_297,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_297 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_ = (None)
+        x_299 = x_298.permute(0, 3, 1, 2)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_299 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_301 = torch._C._nn.gelu(x_300, approximate="none")
+        x_300 = None
+        x_302 = torch.nn.functional.dropout(x_301, 0.0, False, False)
+        x_301 = None
+        x_303 = torch.conv2d(
+            x_302,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_302 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_304 = torch.nn.functional.dropout(x_303, 0.0, False, False)
+        x_303 = None
+        x_305 = x_296 + x_304
+        x_296 = x_304 = None
+        x_306 = x_305.permute(0, 2, 3, 1)
+        x_307 = torch.nn.functional.layer_norm(
+            x_306,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_306 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_ = (None)
+        x_308 = x_307.permute(0, 3, 1, 2)
+        x_307 = None
+        x_309 = torch.conv2d(
+            x_308,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_308 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_21 = torch.functional.split(x_309, [384, 384, 3], 1)
+        x_309 = None
+        q_21 = split_21[0]
+        ctx_21 = split_21[1]
+        gates_21 = split_21[2]
+        split_21 = None
+        input_85 = torch.conv2d(
+            ctx_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_21 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_86 = torch._C._nn.gelu(input_85, approximate="none")
+        input_85 = None
+        getitem_129 = gates_21[(slice(None, None, None), slice(0, 1, None))]
+        mul_84 = input_86 * getitem_129
+        getitem_129 = None
+        ctx_all_63 = 0 + mul_84
+        mul_84 = None
+        input_87 = torch.conv2d(
+            input_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_86 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_88 = torch._C._nn.gelu(input_87, approximate="none")
+        input_87 = None
+        getitem_130 = gates_21[(slice(None, None, None), slice(1, 2, None))]
+        mul_85 = input_88 * getitem_130
+        getitem_130 = None
+        ctx_all_64 = ctx_all_63 + mul_85
+        ctx_all_63 = mul_85 = None
+        mean_21 = input_88.mean((2, 3), keepdim=True)
+        input_88 = None
+        ctx_global_21 = torch._C._nn.gelu(mean_21, approximate="none")
+        mean_21 = None
+        getitem_131 = gates_21[(slice(None, None, None), slice(2, None, None))]
+        gates_21 = None
+        mul_86 = ctx_global_21 * getitem_131
+        ctx_global_21 = getitem_131 = None
+        ctx_all_65 = ctx_all_64 + mul_86
+        ctx_all_64 = mul_86 = None
+        conv2d_153 = torch.conv2d(
+            ctx_all_65,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_65 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_63 = q_21 * conv2d_153
+        q_21 = conv2d_153 = None
+        x_out_64 = torch.conv2d(
+            x_out_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_63 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_65 = torch.nn.functional.dropout(x_out_64, 0.0, False, False)
+        x_out_64 = None
+        x_310 = x_305 + x_out_65
+        x_305 = x_out_65 = None
+        x_311 = x_310.permute(0, 2, 3, 1)
+        x_312 = torch.nn.functional.layer_norm(
+            x_311,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_311 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_ = (None)
+        x_313 = x_312.permute(0, 3, 1, 2)
+        x_312 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_315 = torch._C._nn.gelu(x_314, approximate="none")
+        x_314 = None
+        x_316 = torch.nn.functional.dropout(x_315, 0.0, False, False)
+        x_315 = None
+        x_317 = torch.conv2d(
+            x_316,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_316 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_318 = torch.nn.functional.dropout(x_317, 0.0, False, False)
+        x_317 = None
+        x_319 = x_310 + x_318
+        x_310 = x_318 = None
+        x_320 = torch.conv2d(
+            x_319,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_319 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_321 = x_320.permute(0, 2, 3, 1)
+        x_320 = None
+        x_322 = torch.nn.functional.layer_norm(
+            x_321,
+            (768,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_321 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_323 = x_322.permute(0, 3, 1, 2)
+        x_322 = None
+        x_324 = x_323.permute(0, 2, 3, 1)
+        x_325 = torch.nn.functional.layer_norm(
+            x_324,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_324 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_326 = x_325.permute(0, 3, 1, 2)
+        x_325 = None
+        x_327 = torch.conv2d(
+            x_326,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_326 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_22 = torch.functional.split(x_327, [768, 768, 3], 1)
+        x_327 = None
+        q_22 = split_22[0]
+        ctx_22 = split_22[1]
+        gates_22 = split_22[2]
+        split_22 = None
+        input_89 = torch.conv2d(
+            ctx_22,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_22 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_90 = torch._C._nn.gelu(input_89, approximate="none")
+        input_89 = None
+        getitem_135 = gates_22[(slice(None, None, None), slice(0, 1, None))]
+        mul_88 = input_90 * getitem_135
+        getitem_135 = None
+        ctx_all_66 = 0 + mul_88
+        mul_88 = None
+        input_91 = torch.conv2d(
+            input_90,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_90 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_92 = torch._C._nn.gelu(input_91, approximate="none")
+        input_91 = None
+        getitem_136 = gates_22[(slice(None, None, None), slice(1, 2, None))]
+        mul_89 = input_92 * getitem_136
+        getitem_136 = None
+        ctx_all_67 = ctx_all_66 + mul_89
+        ctx_all_66 = mul_89 = None
+        mean_22 = input_92.mean((2, 3), keepdim=True)
+        input_92 = None
+        ctx_global_22 = torch._C._nn.gelu(mean_22, approximate="none")
+        mean_22 = None
+        getitem_137 = gates_22[(slice(None, None, None), slice(2, None, None))]
+        gates_22 = None
+        mul_90 = ctx_global_22 * getitem_137
+        ctx_global_22 = getitem_137 = None
+        ctx_all_68 = ctx_all_67 + mul_90
+        ctx_all_67 = mul_90 = None
+        conv2d_161 = torch.conv2d(
+            ctx_all_68,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_68 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_66 = q_22 * conv2d_161
+        q_22 = conv2d_161 = None
+        x_out_67 = torch.conv2d(
+            x_out_66,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_66 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_68 = torch.nn.functional.dropout(x_out_67, 0.0, False, False)
+        x_out_67 = None
+        x_328 = x_323 + x_out_68
+        x_323 = x_out_68 = None
+        x_329 = x_328.permute(0, 2, 3, 1)
+        x_330 = torch.nn.functional.layer_norm(
+            x_329,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_329 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_331 = x_330.permute(0, 3, 1, 2)
+        x_330 = None
+        x_332 = torch.conv2d(
+            x_331,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_331 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_333 = torch._C._nn.gelu(x_332, approximate="none")
+        x_332 = None
+        x_334 = torch.nn.functional.dropout(x_333, 0.0, False, False)
+        x_333 = None
+        x_335 = torch.conv2d(
+            x_334,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_334 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_336 = torch.nn.functional.dropout(x_335, 0.0, False, False)
+        x_335 = None
+        x_337 = x_328 + x_336
+        x_328 = x_336 = None
+        x_338 = x_337.permute(0, 2, 3, 1)
+        x_339 = torch.nn.functional.layer_norm(
+            x_338,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_338 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_340 = x_339.permute(0, 3, 1, 2)
+        x_339 = None
+        x_341 = torch.conv2d(
+            x_340,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_340 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_23 = torch.functional.split(x_341, [768, 768, 3], 1)
+        x_341 = None
+        q_23 = split_23[0]
+        ctx_23 = split_23[1]
+        gates_23 = split_23[2]
+        split_23 = None
+        input_93 = torch.conv2d(
+            ctx_23,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_23 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_94 = torch._C._nn.gelu(input_93, approximate="none")
+        input_93 = None
+        getitem_141 = gates_23[(slice(None, None, None), slice(0, 1, None))]
+        mul_92 = input_94 * getitem_141
+        getitem_141 = None
+        ctx_all_69 = 0 + mul_92
+        mul_92 = None
+        input_95 = torch.conv2d(
+            input_94,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_94 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_96 = torch._C._nn.gelu(input_95, approximate="none")
+        input_95 = None
+        getitem_142 = gates_23[(slice(None, None, None), slice(1, 2, None))]
+        mul_93 = input_96 * getitem_142
+        getitem_142 = None
+        ctx_all_70 = ctx_all_69 + mul_93
+        ctx_all_69 = mul_93 = None
+        mean_23 = input_96.mean((2, 3), keepdim=True)
+        input_96 = None
+        ctx_global_23 = torch._C._nn.gelu(mean_23, approximate="none")
+        mean_23 = None
+        getitem_143 = gates_23[(slice(None, None, None), slice(2, None, None))]
+        gates_23 = None
+        mul_94 = ctx_global_23 * getitem_143
+        ctx_global_23 = getitem_143 = None
+        ctx_all_71 = ctx_all_70 + mul_94
+        ctx_all_70 = mul_94 = None
+        conv2d_168 = torch.conv2d(
+            ctx_all_71,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_71 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_69 = q_23 * conv2d_168
+        q_23 = conv2d_168 = None
+        x_out_70 = torch.conv2d(
+            x_out_69,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_69 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_71 = torch.nn.functional.dropout(x_out_70, 0.0, False, False)
+        x_out_70 = None
+        x_342 = x_337 + x_out_71
+        x_337 = x_out_71 = None
+        x_343 = x_342.permute(0, 2, 3, 1)
+        x_344 = torch.nn.functional.layer_norm(
+            x_343,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_343 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_345 = x_344.permute(0, 3, 1, 2)
+        x_344 = None
+        x_346 = torch.conv2d(
+            x_345,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_345 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_347 = torch._C._nn.gelu(x_346, approximate="none")
+        x_346 = None
+        x_348 = torch.nn.functional.dropout(x_347, 0.0, False, False)
+        x_347 = None
+        x_349 = torch.conv2d(
+            x_348,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_348 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_350 = torch.nn.functional.dropout(x_349, 0.0, False, False)
+        x_349 = None
+        x_351 = x_342 + x_350
+        x_342 = x_350 = None
+        x_352 = x_351.permute(0, 2, 3, 1)
+        x_351 = None
+        x_353 = torch.nn.functional.layer_norm(
+            x_352,
+            (768,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_352 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_354 = x_353.permute(0, 3, 1, 2)
+        x_353 = None
+        x_355 = torch.nn.functional.adaptive_avg_pool2d(x_354, 1)
+        x_354 = None
+        x_356 = x_355.flatten(1, -1)
+        x_355 = None
+        x_357 = torch.nn.functional.dropout(x_356, 0.0, False, False)
+        x_356 = None
+        x_358 = torch._C._nn.linear(
+            x_357,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_357 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_358,)
diff --git a/samples/timm/focalnet_small_srf.ms_in1k/weight_meta.py b/samples/timm/focalnet_small_srf.ms_in1k/weight_meta.py
new file mode 100644
index 000000000..2c2f54632
--- /dev/null
+++ b/samples/timm/focalnet_small_srf.ms_in1k/weight_meta.py
@@ -0,0 +1,4058 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [96, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.227
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [195, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [195]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [195, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [195]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [192, 96, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [387, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [387]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [387, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [387]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [384, 192, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [768, 384, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1539, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1539]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1539, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1539]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_tiny_lrf.ms_in1k/graph_hash.txt b/samples/timm/focalnet_tiny_lrf.ms_in1k/graph_hash.txt
new file mode 100644
index 000000000..5b69716f3
--- /dev/null
+++ b/samples/timm/focalnet_tiny_lrf.ms_in1k/graph_hash.txt
@@ -0,0 +1 @@
+5236d81d8b8709ef06f2de4f43082d30e7c6059394369813c8db0b97490840c8
\ No newline at end of file
diff --git a/samples/timm/focalnet_tiny_lrf.ms_in1k/graph_net.json b/samples/timm/focalnet_tiny_lrf.ms_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_tiny_lrf.ms_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_tiny_lrf.ms_in1k/input_meta.py b/samples/timm/focalnet_tiny_lrf.ms_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_tiny_lrf.ms_in1k/input_tensor_constraints.py b/samples/timm/focalnet_tiny_lrf.ms_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_tiny_lrf.ms_in1k/model.py b/samples/timm/focalnet_tiny_lrf.ms_in1k/model.py
new file mode 100644
index 000000000..c8453328b
--- /dev/null
+++ b/samples/timm/focalnet_tiny_lrf.ms_in1k/model.py
@@ -0,0 +1,2427 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (96,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = x_3.permute(0, 2, 3, 1)
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_6 = x_5.permute(0, 3, 1, 2)
+        x_5 = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_7, [96, 96, 4], 1)
+        x_7 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        input_5 = torch.conv2d(
+            input_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            96,
+        )
+        input_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, 3, None))]
+        mul_2 = input_6 * getitem_5
+        getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        mean = input_6.mean((2, 3), keepdim=True)
+        input_6 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_6 = gates[(slice(None, None, None), slice(3, None, None))]
+        gates = None
+        mul_3 = ctx_global * getitem_6
+        ctx_global = getitem_6 = None
+        ctx_all_3 = ctx_all_2 + mul_3
+        ctx_all_2 = mul_3 = None
+        conv2d_5 = torch.conv2d(
+            ctx_all_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_3 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_5
+        q = conv2d_5 = None
+        x_out_1 = torch.conv2d(
+            x_out,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_8 = x_3 + x_out_2
+        x_3 = x_out_2 = None
+        x_9 = x_8.permute(0, 2, 3, 1)
+        x_10 = torch.nn.functional.layer_norm(
+            x_9,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_9 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_11 = x_10.permute(0, 3, 1, 2)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_13 = torch._C._nn.gelu(x_12, approximate="none")
+        x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_8 + x_16
+        x_8 = x_16 = None
+        x_18 = x_17.permute(0, 2, 3, 1)
+        x_19 = torch.nn.functional.layer_norm(
+            x_18,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_18 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_20 = x_19.permute(0, 3, 1, 2)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_21, [96, 96, 4], 1)
+        x_21 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_7 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_10 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_5 = input_8 * getitem_10
+        getitem_10 = None
+        ctx_all_4 = 0 + mul_5
+        mul_5 = None
+        input_9 = torch.conv2d(
+            input_8,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        input_8 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_6 = input_10 * getitem_11
+        getitem_11 = None
+        ctx_all_5 = ctx_all_4 + mul_6
+        ctx_all_4 = mul_6 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            96,
+        )
+        input_10 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_12 = gates_1[(slice(None, None, None), slice(2, 3, None))]
+        mul_7 = input_12 * getitem_12
+        getitem_12 = None
+        ctx_all_6 = ctx_all_5 + mul_7
+        ctx_all_5 = mul_7 = None
+        mean_1 = input_12.mean((2, 3), keepdim=True)
+        input_12 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_13 = gates_1[(slice(None, None, None), slice(3, None, None))]
+        gates_1 = None
+        mul_8 = ctx_global_1 * getitem_13
+        ctx_global_1 = getitem_13 = None
+        ctx_all_7 = ctx_all_6 + mul_8
+        ctx_all_6 = mul_8 = None
+        conv2d_13 = torch.conv2d(
+            ctx_all_7,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_7 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_13
+        q_1 = conv2d_13 = None
+        x_out_4 = torch.conv2d(
+            x_out_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_22 = x_17 + x_out_5
+        x_17 = x_out_5 = None
+        x_23 = x_22.permute(0, 2, 3, 1)
+        x_24 = torch.nn.functional.layer_norm(
+            x_23,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_23 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_25 = x_24.permute(0, 3, 1, 2)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_27 = torch._C._nn.gelu(x_26, approximate="none")
+        x_26 = None
+        x_28 = torch.nn.functional.dropout(x_27, 0.0, False, False)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.dropout(x_29, 0.0, False, False)
+        x_29 = None
+        x_31 = x_22 + x_30
+        x_22 = x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_33 = x_32.permute(0, 2, 3, 1)
+        x_32 = None
+        x_34 = torch.nn.functional.layer_norm(
+            x_33,
+            (192,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_33 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_35 = x_34.permute(0, 3, 1, 2)
+        x_34 = None
+        x_36 = x_35.permute(0, 2, 3, 1)
+        x_37 = torch.nn.functional.layer_norm(
+            x_36,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_36 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_38 = x_37.permute(0, 3, 1, 2)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_39, [192, 192, 4], 1)
+        x_39 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_13 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_17 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_10 = input_14 * getitem_17
+        getitem_17 = None
+        ctx_all_8 = 0 + mul_10
+        mul_10 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        input_14 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_18 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_11 = input_16 * getitem_18
+        getitem_18 = None
+        ctx_all_9 = ctx_all_8 + mul_11
+        ctx_all_8 = mul_11 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        input_16 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_19 = gates_2[(slice(None, None, None), slice(2, 3, None))]
+        mul_12 = input_18 * getitem_19
+        getitem_19 = None
+        ctx_all_10 = ctx_all_9 + mul_12
+        ctx_all_9 = mul_12 = None
+        mean_2 = input_18.mean((2, 3), keepdim=True)
+        input_18 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_20 = gates_2[(slice(None, None, None), slice(3, None, None))]
+        gates_2 = None
+        mul_13 = ctx_global_2 * getitem_20
+        ctx_global_2 = getitem_20 = None
+        ctx_all_11 = ctx_all_10 + mul_13
+        ctx_all_10 = mul_13 = None
+        conv2d_22 = torch.conv2d(
+            ctx_all_11,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_11 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_22
+        q_2 = conv2d_22 = None
+        x_out_7 = torch.conv2d(
+            x_out_6,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_6 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_40 = x_35 + x_out_8
+        x_35 = x_out_8 = None
+        x_41 = x_40.permute(0, 2, 3, 1)
+        x_42 = torch.nn.functional.layer_norm(
+            x_41,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_41 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_43 = x_42.permute(0, 3, 1, 2)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_45 = torch._C._nn.gelu(x_44, approximate="none")
+        x_44 = None
+        x_46 = torch.nn.functional.dropout(x_45, 0.0, False, False)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_40 + x_48
+        x_40 = x_48 = None
+        x_50 = x_49.permute(0, 2, 3, 1)
+        x_51 = torch.nn.functional.layer_norm(
+            x_50,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_50 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_52 = x_51.permute(0, 3, 1, 2)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_53, [192, 192, 4], 1)
+        x_53 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_19 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_24 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_15 = input_20 * getitem_24
+        getitem_24 = None
+        ctx_all_12 = 0 + mul_15
+        mul_15 = None
+        input_21 = torch.conv2d(
+            input_20,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        input_20 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_25 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_16 = input_22 * getitem_25
+        getitem_25 = None
+        ctx_all_13 = ctx_all_12 + mul_16
+        ctx_all_12 = mul_16 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            192,
+        )
+        input_22 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_26 = gates_3[(slice(None, None, None), slice(2, 3, None))]
+        mul_17 = input_24 * getitem_26
+        getitem_26 = None
+        ctx_all_14 = ctx_all_13 + mul_17
+        ctx_all_13 = mul_17 = None
+        mean_3 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_27 = gates_3[(slice(None, None, None), slice(3, None, None))]
+        gates_3 = None
+        mul_18 = ctx_global_3 * getitem_27
+        ctx_global_3 = getitem_27 = None
+        ctx_all_15 = ctx_all_14 + mul_18
+        ctx_all_14 = mul_18 = None
+        conv2d_30 = torch.conv2d(
+            ctx_all_15,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_15 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_30
+        q_3 = conv2d_30 = None
+        x_out_10 = torch.conv2d(
+            x_out_9,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_9 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_54 = x_49 + x_out_11
+        x_49 = x_out_11 = None
+        x_55 = x_54.permute(0, 2, 3, 1)
+        x_56 = torch.nn.functional.layer_norm(
+            x_55,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_55 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_57 = x_56.permute(0, 3, 1, 2)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_59 = torch._C._nn.gelu(x_58, approximate="none")
+        x_58 = None
+        x_60 = torch.nn.functional.dropout(x_59, 0.0, False, False)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.dropout(x_61, 0.0, False, False)
+        x_61 = None
+        x_63 = x_54 + x_62
+        x_54 = x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 2, 3, 1)
+        x_64 = None
+        x_66 = torch.nn.functional.layer_norm(
+            x_65,
+            (384,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_65 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_67 = x_66.permute(0, 3, 1, 2)
+        x_66 = None
+        x_68 = x_67.permute(0, 2, 3, 1)
+        x_69 = torch.nn.functional.layer_norm(
+            x_68,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_68 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_70 = x_69.permute(0, 3, 1, 2)
+        x_69 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_71, [384, 384, 4], 1)
+        x_71 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_25 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_31 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_20 = input_26 * getitem_31
+        getitem_31 = None
+        ctx_all_16 = 0 + mul_20
+        mul_20 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_26 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_32 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_21 = input_28 * getitem_32
+        getitem_32 = None
+        ctx_all_17 = ctx_all_16 + mul_21
+        ctx_all_16 = mul_21 = None
+        input_29 = torch.conv2d(
+            input_28,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_28 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_33 = gates_4[(slice(None, None, None), slice(2, 3, None))]
+        mul_22 = input_30 * getitem_33
+        getitem_33 = None
+        ctx_all_18 = ctx_all_17 + mul_22
+        ctx_all_17 = mul_22 = None
+        mean_4 = input_30.mean((2, 3), keepdim=True)
+        input_30 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_34 = gates_4[(slice(None, None, None), slice(3, None, None))]
+        gates_4 = None
+        mul_23 = ctx_global_4 * getitem_34
+        ctx_global_4 = getitem_34 = None
+        ctx_all_19 = ctx_all_18 + mul_23
+        ctx_all_18 = mul_23 = None
+        conv2d_39 = torch.conv2d(
+            ctx_all_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_19 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_39
+        q_4 = conv2d_39 = None
+        x_out_13 = torch.conv2d(
+            x_out_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_12 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_72 = x_67 + x_out_14
+        x_67 = x_out_14 = None
+        x_73 = x_72.permute(0, 2, 3, 1)
+        x_74 = torch.nn.functional.layer_norm(
+            x_73,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_73 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_75 = x_74.permute(0, 3, 1, 2)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_77 = torch._C._nn.gelu(x_76, approximate="none")
+        x_76 = None
+        x_78 = torch.nn.functional.dropout(x_77, 0.0, False, False)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.dropout(x_79, 0.0, False, False)
+        x_79 = None
+        x_81 = x_72 + x_80
+        x_72 = x_80 = None
+        x_82 = x_81.permute(0, 2, 3, 1)
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_82 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_84 = x_83.permute(0, 3, 1, 2)
+        x_83 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_84 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_85, [384, 384, 4], 1)
+        x_85 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_31 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_38 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_25 = input_32 * getitem_38
+        getitem_38 = None
+        ctx_all_20 = 0 + mul_25
+        mul_25 = None
+        input_33 = torch.conv2d(
+            input_32,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_32 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_39 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_26 = input_34 * getitem_39
+        getitem_39 = None
+        ctx_all_21 = ctx_all_20 + mul_26
+        ctx_all_20 = mul_26 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_40 = gates_5[(slice(None, None, None), slice(2, 3, None))]
+        mul_27 = input_36 * getitem_40
+        getitem_40 = None
+        ctx_all_22 = ctx_all_21 + mul_27
+        ctx_all_21 = mul_27 = None
+        mean_5 = input_36.mean((2, 3), keepdim=True)
+        input_36 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_41 = gates_5[(slice(None, None, None), slice(3, None, None))]
+        gates_5 = None
+        mul_28 = ctx_global_5 * getitem_41
+        ctx_global_5 = getitem_41 = None
+        ctx_all_23 = ctx_all_22 + mul_28
+        ctx_all_22 = mul_28 = None
+        conv2d_47 = torch.conv2d(
+            ctx_all_23,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_23 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_47
+        q_5 = conv2d_47 = None
+        x_out_16 = torch.conv2d(
+            x_out_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_15 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_86 = x_81 + x_out_17
+        x_81 = x_out_17 = None
+        x_87 = x_86.permute(0, 2, 3, 1)
+        x_88 = torch.nn.functional.layer_norm(
+            x_87,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_87 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_89 = x_88.permute(0, 3, 1, 2)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_91 = torch._C._nn.gelu(x_90, approximate="none")
+        x_90 = None
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.dropout(x_93, 0.0, False, False)
+        x_93 = None
+        x_95 = x_86 + x_94
+        x_86 = x_94 = None
+        x_96 = x_95.permute(0, 2, 3, 1)
+        x_97 = torch.nn.functional.layer_norm(
+            x_96,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_96 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (None)
+        x_98 = x_97.permute(0, 3, 1, 2)
+        x_97 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_99, [384, 384, 4], 1)
+        x_99 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_37 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_45 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_30 = input_38 * getitem_45
+        getitem_45 = None
+        ctx_all_24 = 0 + mul_30
+        mul_30 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_46 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_31 = input_40 * getitem_46
+        getitem_46 = None
+        ctx_all_25 = ctx_all_24 + mul_31
+        ctx_all_24 = mul_31 = None
+        input_41 = torch.conv2d(
+            input_40,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_40 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_47 = gates_6[(slice(None, None, None), slice(2, 3, None))]
+        mul_32 = input_42 * getitem_47
+        getitem_47 = None
+        ctx_all_26 = ctx_all_25 + mul_32
+        ctx_all_25 = mul_32 = None
+        mean_6 = input_42.mean((2, 3), keepdim=True)
+        input_42 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_48 = gates_6[(slice(None, None, None), slice(3, None, None))]
+        gates_6 = None
+        mul_33 = ctx_global_6 * getitem_48
+        ctx_global_6 = getitem_48 = None
+        ctx_all_27 = ctx_all_26 + mul_33
+        ctx_all_26 = mul_33 = None
+        conv2d_55 = torch.conv2d(
+            ctx_all_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_27 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_55
+        q_6 = conv2d_55 = None
+        x_out_19 = torch.conv2d(
+            x_out_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_18 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_100 = x_95 + x_out_20
+        x_95 = x_out_20 = None
+        x_101 = x_100.permute(0, 2, 3, 1)
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_101 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (None)
+        x_103 = x_102.permute(0, 3, 1, 2)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_105 = torch._C._nn.gelu(x_104, approximate="none")
+        x_104 = None
+        x_106 = torch.nn.functional.dropout(x_105, 0.0, False, False)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.dropout(x_107, 0.0, False, False)
+        x_107 = None
+        x_109 = x_100 + x_108
+        x_100 = x_108 = None
+        x_110 = x_109.permute(0, 2, 3, 1)
+        x_111 = torch.nn.functional.layer_norm(
+            x_110,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_110 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (None)
+        x_112 = x_111.permute(0, 3, 1, 2)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_113, [384, 384, 4], 1)
+        x_113 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_43 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_52 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_35 = input_44 * getitem_52
+        getitem_52 = None
+        ctx_all_28 = 0 + mul_35
+        mul_35 = None
+        input_45 = torch.conv2d(
+            input_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_44 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_53 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_36 = input_46 * getitem_53
+        getitem_53 = None
+        ctx_all_29 = ctx_all_28 + mul_36
+        ctx_all_28 = mul_36 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_46 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_54 = gates_7[(slice(None, None, None), slice(2, 3, None))]
+        mul_37 = input_48 * getitem_54
+        getitem_54 = None
+        ctx_all_30 = ctx_all_29 + mul_37
+        ctx_all_29 = mul_37 = None
+        mean_7 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_55 = gates_7[(slice(None, None, None), slice(3, None, None))]
+        gates_7 = None
+        mul_38 = ctx_global_7 * getitem_55
+        ctx_global_7 = getitem_55 = None
+        ctx_all_31 = ctx_all_30 + mul_38
+        ctx_all_30 = mul_38 = None
+        conv2d_63 = torch.conv2d(
+            ctx_all_31,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_31 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_63
+        q_7 = conv2d_63 = None
+        x_out_22 = torch.conv2d(
+            x_out_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_21 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_114 = x_109 + x_out_23
+        x_109 = x_out_23 = None
+        x_115 = x_114.permute(0, 2, 3, 1)
+        x_116 = torch.nn.functional.layer_norm(
+            x_115,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_115 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (None)
+        x_117 = x_116.permute(0, 3, 1, 2)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_119 = torch._C._nn.gelu(x_118, approximate="none")
+        x_118 = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.dropout(x_121, 0.0, False, False)
+        x_121 = None
+        x_123 = x_114 + x_122
+        x_114 = x_122 = None
+        x_124 = x_123.permute(0, 2, 3, 1)
+        x_125 = torch.nn.functional.layer_norm(
+            x_124,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_124 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (None)
+        x_126 = x_125.permute(0, 3, 1, 2)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_127, [384, 384, 4], 1)
+        x_127 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_49 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_50 = torch._C._nn.gelu(input_49, approximate="none")
+        input_49 = None
+        getitem_59 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_40 = input_50 * getitem_59
+        getitem_59 = None
+        ctx_all_32 = 0 + mul_40
+        mul_40 = None
+        input_51 = torch.conv2d(
+            input_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_50 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_52 = torch._C._nn.gelu(input_51, approximate="none")
+        input_51 = None
+        getitem_60 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_41 = input_52 * getitem_60
+        getitem_60 = None
+        ctx_all_33 = ctx_all_32 + mul_41
+        ctx_all_32 = mul_41 = None
+        input_53 = torch.conv2d(
+            input_52,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_52 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_54 = torch._C._nn.gelu(input_53, approximate="none")
+        input_53 = None
+        getitem_61 = gates_8[(slice(None, None, None), slice(2, 3, None))]
+        mul_42 = input_54 * getitem_61
+        getitem_61 = None
+        ctx_all_34 = ctx_all_33 + mul_42
+        ctx_all_33 = mul_42 = None
+        mean_8 = input_54.mean((2, 3), keepdim=True)
+        input_54 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_62 = gates_8[(slice(None, None, None), slice(3, None, None))]
+        gates_8 = None
+        mul_43 = ctx_global_8 * getitem_62
+        ctx_global_8 = getitem_62 = None
+        ctx_all_35 = ctx_all_34 + mul_43
+        ctx_all_34 = mul_43 = None
+        conv2d_71 = torch.conv2d(
+            ctx_all_35,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_35 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_71
+        q_8 = conv2d_71 = None
+        x_out_25 = torch.conv2d(
+            x_out_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_24 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_128 = x_123 + x_out_26
+        x_123 = x_out_26 = None
+        x_129 = x_128.permute(0, 2, 3, 1)
+        x_130 = torch.nn.functional.layer_norm(
+            x_129,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_129 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (None)
+        x_131 = x_130.permute(0, 3, 1, 2)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_131 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_133 = torch._C._nn.gelu(x_132, approximate="none")
+        x_132 = None
+        x_134 = torch.nn.functional.dropout(x_133, 0.0, False, False)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.dropout(x_135, 0.0, False, False)
+        x_135 = None
+        x_137 = x_128 + x_136
+        x_128 = x_136 = None
+        x_138 = x_137.permute(0, 2, 3, 1)
+        x_139 = torch.nn.functional.layer_norm(
+            x_138,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_138 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (None)
+        x_140 = x_139.permute(0, 3, 1, 2)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_141, [384, 384, 4], 1)
+        x_141 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_55 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_56 = torch._C._nn.gelu(input_55, approximate="none")
+        input_55 = None
+        getitem_66 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_45 = input_56 * getitem_66
+        getitem_66 = None
+        ctx_all_36 = 0 + mul_45
+        mul_45 = None
+        input_57 = torch.conv2d(
+            input_56,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_56 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_58 = torch._C._nn.gelu(input_57, approximate="none")
+        input_57 = None
+        getitem_67 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_46 = input_58 * getitem_67
+        getitem_67 = None
+        ctx_all_37 = ctx_all_36 + mul_46
+        ctx_all_36 = mul_46 = None
+        input_59 = torch.conv2d(
+            input_58,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            384,
+        )
+        input_58 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_60 = torch._C._nn.gelu(input_59, approximate="none")
+        input_59 = None
+        getitem_68 = gates_9[(slice(None, None, None), slice(2, 3, None))]
+        mul_47 = input_60 * getitem_68
+        getitem_68 = None
+        ctx_all_38 = ctx_all_37 + mul_47
+        ctx_all_37 = mul_47 = None
+        mean_9 = input_60.mean((2, 3), keepdim=True)
+        input_60 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_69 = gates_9[(slice(None, None, None), slice(3, None, None))]
+        gates_9 = None
+        mul_48 = ctx_global_9 * getitem_69
+        ctx_global_9 = getitem_69 = None
+        ctx_all_39 = ctx_all_38 + mul_48
+        ctx_all_38 = mul_48 = None
+        conv2d_79 = torch.conv2d(
+            ctx_all_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_39 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_79
+        q_9 = conv2d_79 = None
+        x_out_28 = torch.conv2d(
+            x_out_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_27 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_142 = x_137 + x_out_29
+        x_137 = x_out_29 = None
+        x_143 = x_142.permute(0, 2, 3, 1)
+        x_144 = torch.nn.functional.layer_norm(
+            x_143,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_143 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (None)
+        x_145 = x_144.permute(0, 3, 1, 2)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_147 = torch._C._nn.gelu(x_146, approximate="none")
+        x_146 = None
+        x_148 = torch.nn.functional.dropout(x_147, 0.0, False, False)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False)
+        x_149 = None
+        x_151 = x_142 + x_150
+        x_142 = x_150 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_153 = x_152.permute(0, 2, 3, 1)
+        x_152 = None
+        x_154 = torch.nn.functional.layer_norm(
+            x_153,
+            (768,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_153 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_155 = x_154.permute(0, 3, 1, 2)
+        x_154 = None
+        x_156 = x_155.permute(0, 2, 3, 1)
+        x_157 = torch.nn.functional.layer_norm(
+            x_156,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_156 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_158 = x_157.permute(0, 3, 1, 2)
+        x_157 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_159, [768, 768, 4], 1)
+        x_159 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_61 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_10 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_62 = torch._C._nn.gelu(input_61, approximate="none")
+        input_61 = None
+        getitem_73 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_50 = input_62 * getitem_73
+        getitem_73 = None
+        ctx_all_40 = 0 + mul_50
+        mul_50 = None
+        input_63 = torch.conv2d(
+            input_62,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_62 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_64 = torch._C._nn.gelu(input_63, approximate="none")
+        input_63 = None
+        getitem_74 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_51 = input_64 * getitem_74
+        getitem_74 = None
+        ctx_all_41 = ctx_all_40 + mul_51
+        ctx_all_40 = mul_51 = None
+        input_65 = torch.conv2d(
+            input_64,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_64 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_66 = torch._C._nn.gelu(input_65, approximate="none")
+        input_65 = None
+        getitem_75 = gates_10[(slice(None, None, None), slice(2, 3, None))]
+        mul_52 = input_66 * getitem_75
+        getitem_75 = None
+        ctx_all_42 = ctx_all_41 + mul_52
+        ctx_all_41 = mul_52 = None
+        mean_10 = input_66.mean((2, 3), keepdim=True)
+        input_66 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_76 = gates_10[(slice(None, None, None), slice(3, None, None))]
+        gates_10 = None
+        mul_53 = ctx_global_10 * getitem_76
+        ctx_global_10 = getitem_76 = None
+        ctx_all_43 = ctx_all_42 + mul_53
+        ctx_all_42 = mul_53 = None
+        conv2d_88 = torch.conv2d(
+            ctx_all_43,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_43 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_88
+        q_10 = conv2d_88 = None
+        x_out_31 = torch.conv2d(
+            x_out_30,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_30 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_160 = x_155 + x_out_32
+        x_155 = x_out_32 = None
+        x_161 = x_160.permute(0, 2, 3, 1)
+        x_162 = torch.nn.functional.layer_norm(
+            x_161,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_161 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_163 = x_162.permute(0, 3, 1, 2)
+        x_162 = None
+        x_164 = torch.conv2d(
+            x_163,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_163 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_165 = torch._C._nn.gelu(x_164, approximate="none")
+        x_164 = None
+        x_166 = torch.nn.functional.dropout(x_165, 0.0, False, False)
+        x_165 = None
+        x_167 = torch.conv2d(
+            x_166,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_166 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_168 = torch.nn.functional.dropout(x_167, 0.0, False, False)
+        x_167 = None
+        x_169 = x_160 + x_168
+        x_160 = x_168 = None
+        x_170 = x_169.permute(0, 2, 3, 1)
+        x_171 = torch.nn.functional.layer_norm(
+            x_170,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_170 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_172 = x_171.permute(0, 3, 1, 2)
+        x_171 = None
+        x_173 = torch.conv2d(
+            x_172,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_172 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_173, [768, 768, 4], 1)
+        x_173 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_67 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_11 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_68 = torch._C._nn.gelu(input_67, approximate="none")
+        input_67 = None
+        getitem_80 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_55 = input_68 * getitem_80
+        getitem_80 = None
+        ctx_all_44 = 0 + mul_55
+        mul_55 = None
+        input_69 = torch.conv2d(
+            input_68,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_68 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_70 = torch._C._nn.gelu(input_69, approximate="none")
+        input_69 = None
+        getitem_81 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_56 = input_70 * getitem_81
+        getitem_81 = None
+        ctx_all_45 = ctx_all_44 + mul_56
+        ctx_all_44 = mul_56 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            768,
+        )
+        input_70 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_72 = torch._C._nn.gelu(input_71, approximate="none")
+        input_71 = None
+        getitem_82 = gates_11[(slice(None, None, None), slice(2, 3, None))]
+        mul_57 = input_72 * getitem_82
+        getitem_82 = None
+        ctx_all_46 = ctx_all_45 + mul_57
+        ctx_all_45 = mul_57 = None
+        mean_11 = input_72.mean((2, 3), keepdim=True)
+        input_72 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_83 = gates_11[(slice(None, None, None), slice(3, None, None))]
+        gates_11 = None
+        mul_58 = ctx_global_11 * getitem_83
+        ctx_global_11 = getitem_83 = None
+        ctx_all_47 = ctx_all_46 + mul_58
+        ctx_all_46 = mul_58 = None
+        conv2d_96 = torch.conv2d(
+            ctx_all_47,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_47 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_96
+        q_11 = conv2d_96 = None
+        x_out_34 = torch.conv2d(
+            x_out_33,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_33 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_174 = x_169 + x_out_35
+        x_169 = x_out_35 = None
+        x_175 = x_174.permute(0, 2, 3, 1)
+        x_176 = torch.nn.functional.layer_norm(
+            x_175,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_175 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_177 = x_176.permute(0, 3, 1, 2)
+        x_176 = None
+        x_178 = torch.conv2d(
+            x_177,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_177 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_179 = torch._C._nn.gelu(x_178, approximate="none")
+        x_178 = None
+        x_180 = torch.nn.functional.dropout(x_179, 0.0, False, False)
+        x_179 = None
+        x_181 = torch.conv2d(
+            x_180,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_180 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_182 = torch.nn.functional.dropout(x_181, 0.0, False, False)
+        x_181 = None
+        x_183 = x_174 + x_182
+        x_174 = x_182 = None
+        x_184 = x_183.permute(0, 2, 3, 1)
+        x_183 = None
+        x_185 = torch.nn.functional.layer_norm(
+            x_184,
+            (768,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_184 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_186 = x_185.permute(0, 3, 1, 2)
+        x_185 = None
+        x_187 = torch.nn.functional.adaptive_avg_pool2d(x_186, 1)
+        x_186 = None
+        x_188 = x_187.flatten(1, -1)
+        x_187 = None
+        x_189 = torch.nn.functional.dropout(x_188, 0.0, False, False)
+        x_188 = None
+        x_190 = torch._C._nn.linear(
+            x_189,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_189 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_190,)
diff --git a/samples/timm/focalnet_tiny_lrf.ms_in1k/weight_meta.py b/samples/timm/focalnet_tiny_lrf.ms_in1k/weight_meta.py
new file mode 100644
index 000000000..62b0b865b
--- /dev/null
+++ b/samples/timm/focalnet_tiny_lrf.ms_in1k/weight_meta.py
@@ -0,0 +1,2258 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [96, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [196, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [96, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [196, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [96, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [192, 96, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [388, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [388]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [388, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [388]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [192, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [384, 192, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [772, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [772]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [384, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [768, 384, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1540, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1540]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [768, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_tiny_srf.ms_in1k/graph_hash.txt b/samples/timm/focalnet_tiny_srf.ms_in1k/graph_hash.txt
new file mode 100644
index 000000000..d97ba0e77
--- /dev/null
+++ b/samples/timm/focalnet_tiny_srf.ms_in1k/graph_hash.txt
@@ -0,0 +1 @@
+b21f756c96d961ed68c4be951eeb4930441cd125ff2c241dcd0e76052c165da1
\ No newline at end of file
diff --git a/samples/timm/focalnet_tiny_srf.ms_in1k/graph_net.json b/samples/timm/focalnet_tiny_srf.ms_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_tiny_srf.ms_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_tiny_srf.ms_in1k/input_meta.py b/samples/timm/focalnet_tiny_srf.ms_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_tiny_srf.ms_in1k/input_tensor_constraints.py b/samples/timm/focalnet_tiny_srf.ms_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_tiny_srf.ms_in1k/model.py b/samples/timm/focalnet_tiny_srf.ms_in1k/model.py
new file mode 100644
index 000000000..df4845aee
--- /dev/null
+++ b/samples/timm/focalnet_tiny_srf.ms_in1k/model.py
@@ -0,0 +1,2199 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (96,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = x_3.permute(0, 2, 3, 1)
+        x_5 = torch.nn.functional.layer_norm(
+            x_4,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_6 = x_5.permute(0, 3, 1, 2)
+        x_5 = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_6 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_7, [96, 96, 3], 1)
+        x_7 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        mean = input_4.mean((2, 3), keepdim=True)
+        input_4 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, None, None))]
+        gates = None
+        mul_2 = ctx_global * getitem_5
+        ctx_global = getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        conv2d_4 = torch.conv2d(
+            ctx_all_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_4
+        q = conv2d_4 = None
+        x_out_1 = torch.conv2d(
+            x_out,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_8 = x_3 + x_out_2
+        x_3 = x_out_2 = None
+        x_9 = x_8.permute(0, 2, 3, 1)
+        x_10 = torch.nn.functional.layer_norm(
+            x_9,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_9 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_11 = x_10.permute(0, 3, 1, 2)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_13 = torch._C._nn.gelu(x_12, approximate="none")
+        x_12 = None
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = x_8 + x_16
+        x_8 = x_16 = None
+        x_18 = x_17.permute(0, 2, 3, 1)
+        x_19 = torch.nn.functional.layer_norm(
+            x_18,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_18 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_20 = x_19.permute(0, 3, 1, 2)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_20 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_21, [96, 96, 3], 1)
+        x_21 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_5 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_9 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_4 = input_6 * getitem_9
+        getitem_9 = None
+        ctx_all_3 = 0 + mul_4
+        mul_4 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        input_6 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_10 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_5 = input_8 * getitem_10
+        getitem_10 = None
+        ctx_all_4 = ctx_all_3 + mul_5
+        ctx_all_3 = mul_5 = None
+        mean_1 = input_8.mean((2, 3), keepdim=True)
+        input_8 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(2, None, None))]
+        gates_1 = None
+        mul_6 = ctx_global_1 * getitem_11
+        ctx_global_1 = getitem_11 = None
+        ctx_all_5 = ctx_all_4 + mul_6
+        ctx_all_4 = mul_6 = None
+        conv2d_11 = torch.conv2d(
+            ctx_all_5,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_5 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_11
+        q_1 = conv2d_11 = None
+        x_out_4 = torch.conv2d(
+            x_out_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_22 = x_17 + x_out_5
+        x_17 = x_out_5 = None
+        x_23 = x_22.permute(0, 2, 3, 1)
+        x_24 = torch.nn.functional.layer_norm(
+            x_23,
+            (96,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_23 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_25 = x_24.permute(0, 3, 1, 2)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_27 = torch._C._nn.gelu(x_26, approximate="none")
+        x_26 = None
+        x_28 = torch.nn.functional.dropout(x_27, 0.0, False, False)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.dropout(x_29, 0.0, False, False)
+        x_29 = None
+        x_31 = x_22 + x_30
+        x_22 = x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_33 = x_32.permute(0, 2, 3, 1)
+        x_32 = None
+        x_34 = torch.nn.functional.layer_norm(
+            x_33,
+            (192,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_33 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_35 = x_34.permute(0, 3, 1, 2)
+        x_34 = None
+        x_36 = x_35.permute(0, 2, 3, 1)
+        x_37 = torch.nn.functional.layer_norm(
+            x_36,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_36 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_38 = x_37.permute(0, 3, 1, 2)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_39, [192, 192, 3], 1)
+        x_39 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_9 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_15 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_8 = input_10 * getitem_15
+        getitem_15 = None
+        ctx_all_6 = 0 + mul_8
+        mul_8 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        input_10 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_16 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_9 = input_12 * getitem_16
+        getitem_16 = None
+        ctx_all_7 = ctx_all_6 + mul_9
+        ctx_all_6 = mul_9 = None
+        mean_2 = input_12.mean((2, 3), keepdim=True)
+        input_12 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_17 = gates_2[(slice(None, None, None), slice(2, None, None))]
+        gates_2 = None
+        mul_10 = ctx_global_2 * getitem_17
+        ctx_global_2 = getitem_17 = None
+        ctx_all_8 = ctx_all_7 + mul_10
+        ctx_all_7 = mul_10 = None
+        conv2d_19 = torch.conv2d(
+            ctx_all_8,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_8 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_19
+        q_2 = conv2d_19 = None
+        x_out_7 = torch.conv2d(
+            x_out_6,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_6 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_40 = x_35 + x_out_8
+        x_35 = x_out_8 = None
+        x_41 = x_40.permute(0, 2, 3, 1)
+        x_42 = torch.nn.functional.layer_norm(
+            x_41,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_41 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_43 = x_42.permute(0, 3, 1, 2)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_45 = torch._C._nn.gelu(x_44, approximate="none")
+        x_44 = None
+        x_46 = torch.nn.functional.dropout(x_45, 0.0, False, False)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_40 + x_48
+        x_40 = x_48 = None
+        x_50 = x_49.permute(0, 2, 3, 1)
+        x_51 = torch.nn.functional.layer_norm(
+            x_50,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_50 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_52 = x_51.permute(0, 3, 1, 2)
+        x_51 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_53, [192, 192, 3], 1)
+        x_53 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_13 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_21 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_12 = input_14 * getitem_21
+        getitem_21 = None
+        ctx_all_9 = 0 + mul_12
+        mul_12 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        input_14 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_22 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_13 = input_16 * getitem_22
+        getitem_22 = None
+        ctx_all_10 = ctx_all_9 + mul_13
+        ctx_all_9 = mul_13 = None
+        mean_3 = input_16.mean((2, 3), keepdim=True)
+        input_16 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_23 = gates_3[(slice(None, None, None), slice(2, None, None))]
+        gates_3 = None
+        mul_14 = ctx_global_3 * getitem_23
+        ctx_global_3 = getitem_23 = None
+        ctx_all_11 = ctx_all_10 + mul_14
+        ctx_all_10 = mul_14 = None
+        conv2d_26 = torch.conv2d(
+            ctx_all_11,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_11 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_26
+        q_3 = conv2d_26 = None
+        x_out_10 = torch.conv2d(
+            x_out_9,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_9 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_54 = x_49 + x_out_11
+        x_49 = x_out_11 = None
+        x_55 = x_54.permute(0, 2, 3, 1)
+        x_56 = torch.nn.functional.layer_norm(
+            x_55,
+            (192,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_55 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_57 = x_56.permute(0, 3, 1, 2)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_59 = torch._C._nn.gelu(x_58, approximate="none")
+        x_58 = None
+        x_60 = torch.nn.functional.dropout(x_59, 0.0, False, False)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.dropout(x_61, 0.0, False, False)
+        x_61 = None
+        x_63 = x_54 + x_62
+        x_54 = x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 2, 3, 1)
+        x_64 = None
+        x_66 = torch.nn.functional.layer_norm(
+            x_65,
+            (384,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_65 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_67 = x_66.permute(0, 3, 1, 2)
+        x_66 = None
+        x_68 = x_67.permute(0, 2, 3, 1)
+        x_69 = torch.nn.functional.layer_norm(
+            x_68,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_68 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_70 = x_69.permute(0, 3, 1, 2)
+        x_69 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_70 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_71, [384, 384, 3], 1)
+        x_71 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_17 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_27 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_16 = input_18 * getitem_27
+        getitem_27 = None
+        ctx_all_12 = 0 + mul_16
+        mul_16 = None
+        input_19 = torch.conv2d(
+            input_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_18 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_28 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_17 = input_20 * getitem_28
+        getitem_28 = None
+        ctx_all_13 = ctx_all_12 + mul_17
+        ctx_all_12 = mul_17 = None
+        mean_4 = input_20.mean((2, 3), keepdim=True)
+        input_20 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_29 = gates_4[(slice(None, None, None), slice(2, None, None))]
+        gates_4 = None
+        mul_18 = ctx_global_4 * getitem_29
+        ctx_global_4 = getitem_29 = None
+        ctx_all_14 = ctx_all_13 + mul_18
+        ctx_all_13 = mul_18 = None
+        conv2d_34 = torch.conv2d(
+            ctx_all_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_14 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_34
+        q_4 = conv2d_34 = None
+        x_out_13 = torch.conv2d(
+            x_out_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_12 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_72 = x_67 + x_out_14
+        x_67 = x_out_14 = None
+        x_73 = x_72.permute(0, 2, 3, 1)
+        x_74 = torch.nn.functional.layer_norm(
+            x_73,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_73 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_75 = x_74.permute(0, 3, 1, 2)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_77 = torch._C._nn.gelu(x_76, approximate="none")
+        x_76 = None
+        x_78 = torch.nn.functional.dropout(x_77, 0.0, False, False)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.dropout(x_79, 0.0, False, False)
+        x_79 = None
+        x_81 = x_72 + x_80
+        x_72 = x_80 = None
+        x_82 = x_81.permute(0, 2, 3, 1)
+        x_83 = torch.nn.functional.layer_norm(
+            x_82,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_82 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_84 = x_83.permute(0, 3, 1, 2)
+        x_83 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_84 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_85, [384, 384, 3], 1)
+        x_85 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_21 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_33 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_20 = input_22 * getitem_33
+        getitem_33 = None
+        ctx_all_15 = 0 + mul_20
+        mul_20 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_22 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_34 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_21 = input_24 * getitem_34
+        getitem_34 = None
+        ctx_all_16 = ctx_all_15 + mul_21
+        ctx_all_15 = mul_21 = None
+        mean_5 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_35 = gates_5[(slice(None, None, None), slice(2, None, None))]
+        gates_5 = None
+        mul_22 = ctx_global_5 * getitem_35
+        ctx_global_5 = getitem_35 = None
+        ctx_all_17 = ctx_all_16 + mul_22
+        ctx_all_16 = mul_22 = None
+        conv2d_41 = torch.conv2d(
+            ctx_all_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_17 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_41
+        q_5 = conv2d_41 = None
+        x_out_16 = torch.conv2d(
+            x_out_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_15 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_86 = x_81 + x_out_17
+        x_81 = x_out_17 = None
+        x_87 = x_86.permute(0, 2, 3, 1)
+        x_88 = torch.nn.functional.layer_norm(
+            x_87,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_87 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_89 = x_88.permute(0, 3, 1, 2)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_91 = torch._C._nn.gelu(x_90, approximate="none")
+        x_90 = None
+        x_92 = torch.nn.functional.dropout(x_91, 0.0, False, False)
+        x_91 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.dropout(x_93, 0.0, False, False)
+        x_93 = None
+        x_95 = x_86 + x_94
+        x_86 = x_94 = None
+        x_96 = x_95.permute(0, 2, 3, 1)
+        x_97 = torch.nn.functional.layer_norm(
+            x_96,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_96 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (None)
+        x_98 = x_97.permute(0, 3, 1, 2)
+        x_97 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_98 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_99, [384, 384, 3], 1)
+        x_99 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_25 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_39 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_24 = input_26 * getitem_39
+        getitem_39 = None
+        ctx_all_18 = 0 + mul_24
+        mul_24 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_26 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_40 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_25 = input_28 * getitem_40
+        getitem_40 = None
+        ctx_all_19 = ctx_all_18 + mul_25
+        ctx_all_18 = mul_25 = None
+        mean_6 = input_28.mean((2, 3), keepdim=True)
+        input_28 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_41 = gates_6[(slice(None, None, None), slice(2, None, None))]
+        gates_6 = None
+        mul_26 = ctx_global_6 * getitem_41
+        ctx_global_6 = getitem_41 = None
+        ctx_all_20 = ctx_all_19 + mul_26
+        ctx_all_19 = mul_26 = None
+        conv2d_48 = torch.conv2d(
+            ctx_all_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_20 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_48
+        q_6 = conv2d_48 = None
+        x_out_19 = torch.conv2d(
+            x_out_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_18 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_100 = x_95 + x_out_20
+        x_95 = x_out_20 = None
+        x_101 = x_100.permute(0, 2, 3, 1)
+        x_102 = torch.nn.functional.layer_norm(
+            x_101,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_101 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (None)
+        x_103 = x_102.permute(0, 3, 1, 2)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_105 = torch._C._nn.gelu(x_104, approximate="none")
+        x_104 = None
+        x_106 = torch.nn.functional.dropout(x_105, 0.0, False, False)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.dropout(x_107, 0.0, False, False)
+        x_107 = None
+        x_109 = x_100 + x_108
+        x_100 = x_108 = None
+        x_110 = x_109.permute(0, 2, 3, 1)
+        x_111 = torch.nn.functional.layer_norm(
+            x_110,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_110 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (None)
+        x_112 = x_111.permute(0, 3, 1, 2)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_113, [384, 384, 3], 1)
+        x_113 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_29 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_45 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_28 = input_30 * getitem_45
+        getitem_45 = None
+        ctx_all_21 = 0 + mul_28
+        mul_28 = None
+        input_31 = torch.conv2d(
+            input_30,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_30 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_46 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_29 = input_32 * getitem_46
+        getitem_46 = None
+        ctx_all_22 = ctx_all_21 + mul_29
+        ctx_all_21 = mul_29 = None
+        mean_7 = input_32.mean((2, 3), keepdim=True)
+        input_32 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_47 = gates_7[(slice(None, None, None), slice(2, None, None))]
+        gates_7 = None
+        mul_30 = ctx_global_7 * getitem_47
+        ctx_global_7 = getitem_47 = None
+        ctx_all_23 = ctx_all_22 + mul_30
+        ctx_all_22 = mul_30 = None
+        conv2d_55 = torch.conv2d(
+            ctx_all_23,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_23 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_55
+        q_7 = conv2d_55 = None
+        x_out_22 = torch.conv2d(
+            x_out_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_21 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_114 = x_109 + x_out_23
+        x_109 = x_out_23 = None
+        x_115 = x_114.permute(0, 2, 3, 1)
+        x_116 = torch.nn.functional.layer_norm(
+            x_115,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_115 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (None)
+        x_117 = x_116.permute(0, 3, 1, 2)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_119 = torch._C._nn.gelu(x_118, approximate="none")
+        x_118 = None
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.dropout(x_121, 0.0, False, False)
+        x_121 = None
+        x_123 = x_114 + x_122
+        x_114 = x_122 = None
+        x_124 = x_123.permute(0, 2, 3, 1)
+        x_125 = torch.nn.functional.layer_norm(
+            x_124,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_124 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (None)
+        x_126 = x_125.permute(0, 3, 1, 2)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_126 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_127, [384, 384, 3], 1)
+        x_127 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_33 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_51 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_32 = input_34 * getitem_51
+        getitem_51 = None
+        ctx_all_24 = 0 + mul_32
+        mul_32 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_52 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_33 = input_36 * getitem_52
+        getitem_52 = None
+        ctx_all_25 = ctx_all_24 + mul_33
+        ctx_all_24 = mul_33 = None
+        mean_8 = input_36.mean((2, 3), keepdim=True)
+        input_36 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_53 = gates_8[(slice(None, None, None), slice(2, None, None))]
+        gates_8 = None
+        mul_34 = ctx_global_8 * getitem_53
+        ctx_global_8 = getitem_53 = None
+        ctx_all_26 = ctx_all_25 + mul_34
+        ctx_all_25 = mul_34 = None
+        conv2d_62 = torch.conv2d(
+            ctx_all_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_26 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_62
+        q_8 = conv2d_62 = None
+        x_out_25 = torch.conv2d(
+            x_out_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_24 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_128 = x_123 + x_out_26
+        x_123 = x_out_26 = None
+        x_129 = x_128.permute(0, 2, 3, 1)
+        x_130 = torch.nn.functional.layer_norm(
+            x_129,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_129 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (None)
+        x_131 = x_130.permute(0, 3, 1, 2)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_131 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_133 = torch._C._nn.gelu(x_132, approximate="none")
+        x_132 = None
+        x_134 = torch.nn.functional.dropout(x_133, 0.0, False, False)
+        x_133 = None
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.dropout(x_135, 0.0, False, False)
+        x_135 = None
+        x_137 = x_128 + x_136
+        x_128 = x_136 = None
+        x_138 = x_137.permute(0, 2, 3, 1)
+        x_139 = torch.nn.functional.layer_norm(
+            x_138,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_138 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (None)
+        x_140 = x_139.permute(0, 3, 1, 2)
+        x_139 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_141, [384, 384, 3], 1)
+        x_141 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_37 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_57 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_36 = input_38 * getitem_57
+        getitem_57 = None
+        ctx_all_27 = 0 + mul_36
+        mul_36 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            384,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_58 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_37 = input_40 * getitem_58
+        getitem_58 = None
+        ctx_all_28 = ctx_all_27 + mul_37
+        ctx_all_27 = mul_37 = None
+        mean_9 = input_40.mean((2, 3), keepdim=True)
+        input_40 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_59 = gates_9[(slice(None, None, None), slice(2, None, None))]
+        gates_9 = None
+        mul_38 = ctx_global_9 * getitem_59
+        ctx_global_9 = getitem_59 = None
+        ctx_all_29 = ctx_all_28 + mul_38
+        ctx_all_28 = mul_38 = None
+        conv2d_69 = torch.conv2d(
+            ctx_all_29,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_29 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_69
+        q_9 = conv2d_69 = None
+        x_out_28 = torch.conv2d(
+            x_out_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_27 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_142 = x_137 + x_out_29
+        x_137 = x_out_29 = None
+        x_143 = x_142.permute(0, 2, 3, 1)
+        x_144 = torch.nn.functional.layer_norm(
+            x_143,
+            (384,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_143 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (None)
+        x_145 = x_144.permute(0, 3, 1, 2)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_147 = torch._C._nn.gelu(x_146, approximate="none")
+        x_146 = None
+        x_148 = torch.nn.functional.dropout(x_147, 0.0, False, False)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False)
+        x_149 = None
+        x_151 = x_142 + x_150
+        x_142 = x_150 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_153 = x_152.permute(0, 2, 3, 1)
+        x_152 = None
+        x_154 = torch.nn.functional.layer_norm(
+            x_153,
+            (768,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_153 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_155 = x_154.permute(0, 3, 1, 2)
+        x_154 = None
+        x_156 = x_155.permute(0, 2, 3, 1)
+        x_157 = torch.nn.functional.layer_norm(
+            x_156,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_156 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (None)
+        x_158 = x_157.permute(0, 3, 1, 2)
+        x_157 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_159, [768, 768, 3], 1)
+        x_159 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_41 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_10 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_63 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_40 = input_42 * getitem_63
+        getitem_63 = None
+        ctx_all_30 = 0 + mul_40
+        mul_40 = None
+        input_43 = torch.conv2d(
+            input_42,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_42 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_64 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_41 = input_44 * getitem_64
+        getitem_64 = None
+        ctx_all_31 = ctx_all_30 + mul_41
+        ctx_all_30 = mul_41 = None
+        mean_10 = input_44.mean((2, 3), keepdim=True)
+        input_44 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_65 = gates_10[(slice(None, None, None), slice(2, None, None))]
+        gates_10 = None
+        mul_42 = ctx_global_10 * getitem_65
+        ctx_global_10 = getitem_65 = None
+        ctx_all_32 = ctx_all_31 + mul_42
+        ctx_all_31 = mul_42 = None
+        conv2d_77 = torch.conv2d(
+            ctx_all_32,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_32 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_77
+        q_10 = conv2d_77 = None
+        x_out_31 = torch.conv2d(
+            x_out_30,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_30 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_160 = x_155 + x_out_32
+        x_155 = x_out_32 = None
+        x_161 = x_160.permute(0, 2, 3, 1)
+        x_162 = torch.nn.functional.layer_norm(
+            x_161,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_161 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (None)
+        x_163 = x_162.permute(0, 3, 1, 2)
+        x_162 = None
+        x_164 = torch.conv2d(
+            x_163,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_163 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_165 = torch._C._nn.gelu(x_164, approximate="none")
+        x_164 = None
+        x_166 = torch.nn.functional.dropout(x_165, 0.0, False, False)
+        x_165 = None
+        x_167 = torch.conv2d(
+            x_166,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_166 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_168 = torch.nn.functional.dropout(x_167, 0.0, False, False)
+        x_167 = None
+        x_169 = x_160 + x_168
+        x_160 = x_168 = None
+        x_170 = x_169.permute(0, 2, 3, 1)
+        x_171 = torch.nn.functional.layer_norm(
+            x_170,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-05,
+        )
+        x_170 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (None)
+        x_172 = x_171.permute(0, 3, 1, 2)
+        x_171 = None
+        x_173 = torch.conv2d(
+            x_172,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_172 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_173, [768, 768, 3], 1)
+        x_173 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_45 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        ctx_11 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_69 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_44 = input_46 * getitem_69
+        getitem_69 = None
+        ctx_all_33 = 0 + mul_44
+        mul_44 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            768,
+        )
+        input_46 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_70 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_45 = input_48 * getitem_70
+        getitem_70 = None
+        ctx_all_34 = ctx_all_33 + mul_45
+        ctx_all_33 = mul_45 = None
+        mean_11 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_71 = gates_11[(slice(None, None, None), slice(2, None, None))]
+        gates_11 = None
+        mul_46 = ctx_global_11 * getitem_71
+        ctx_global_11 = getitem_71 = None
+        ctx_all_35 = ctx_all_34 + mul_46
+        ctx_all_34 = mul_46 = None
+        conv2d_84 = torch.conv2d(
+            ctx_all_35,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_35 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_84
+        q_11 = conv2d_84 = None
+        x_out_34 = torch.conv2d(
+            x_out_33,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_33 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_174 = x_169 + x_out_35
+        x_169 = x_out_35 = None
+        x_175 = x_174.permute(0, 2, 3, 1)
+        x_176 = torch.nn.functional.layer_norm(
+            x_175,
+            (768,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-05,
+        )
+        x_175 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (None)
+        x_177 = x_176.permute(0, 3, 1, 2)
+        x_176 = None
+        x_178 = torch.conv2d(
+            x_177,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_177 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_179 = torch._C._nn.gelu(x_178, approximate="none")
+        x_178 = None
+        x_180 = torch.nn.functional.dropout(x_179, 0.0, False, False)
+        x_179 = None
+        x_181 = torch.conv2d(
+            x_180,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_180 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_182 = torch.nn.functional.dropout(x_181, 0.0, False, False)
+        x_181 = None
+        x_183 = x_174 + x_182
+        x_174 = x_182 = None
+        x_184 = x_183.permute(0, 2, 3, 1)
+        x_183 = None
+        x_185 = torch.nn.functional.layer_norm(
+            x_184,
+            (768,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_184 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_186 = x_185.permute(0, 3, 1, 2)
+        x_185 = None
+        x_187 = torch.nn.functional.adaptive_avg_pool2d(x_186, 1)
+        x_186 = None
+        x_188 = x_187.flatten(1, -1)
+        x_187 = None
+        x_189 = torch.nn.functional.dropout(x_188, 0.0, False, False)
+        x_188 = None
+        x_190 = torch._C._nn.linear(
+            x_189,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_189 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_190,)
diff --git a/samples/timm/focalnet_tiny_srf.ms_in1k/weight_meta.py b/samples/timm/focalnet_tiny_srf.ms_in1k/weight_meta.py
new file mode 100644
index 000000000..d85a24131
--- /dev/null
+++ b/samples/timm/focalnet_tiny_srf.ms_in1k/weight_meta.py
@@ -0,0 +1,2138 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [96, 3, 4, 4]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.225
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [195, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [195]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [195, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [195]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [192, 96, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [387, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [387]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [387, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [387]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [768, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [192, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [384, 192, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [771, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [771]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [384, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [384, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1536, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [384, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [768, 384, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1539, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1539]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1539, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1539]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [768, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [3072, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [3072]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [768, 3072, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_xlarge_fl3.ms_in22k/graph_hash.txt b/samples/timm/focalnet_xlarge_fl3.ms_in22k/graph_hash.txt
new file mode 100644
index 000000000..d8c71818c
--- /dev/null
+++ b/samples/timm/focalnet_xlarge_fl3.ms_in22k/graph_hash.txt
@@ -0,0 +1 @@
+7160ff963511d49218127c9b92e10e46b2f0553682ea1a9334434f99f113c90e
\ No newline at end of file
diff --git a/samples/timm/focalnet_xlarge_fl3.ms_in22k/graph_net.json b/samples/timm/focalnet_xlarge_fl3.ms_in22k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_xlarge_fl3.ms_in22k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_xlarge_fl3.ms_in22k/input_meta.py b/samples/timm/focalnet_xlarge_fl3.ms_in22k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_xlarge_fl3.ms_in22k/input_tensor_constraints.py b/samples/timm/focalnet_xlarge_fl3.ms_in22k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_xlarge_fl3.ms_in22k/model.py b/samples/timm/focalnet_xlarge_fl3.ms_in22k/model.py
new file mode 100644
index 000000000..a34b2bcaa
--- /dev/null
+++ b/samples/timm/focalnet_xlarge_fl3.ms_in22k/model.py
@@ -0,0 +1,5199 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (2, 2),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (256,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = torch.conv2d(
+            x_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_4, [256, 256, 4], 1)
+        x_4 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        input_5 = torch.conv2d(
+            input_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            256,
+        )
+        input_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, 3, None))]
+        mul_2 = input_6 * getitem_5
+        getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        mean = input_6.mean((2, 3), keepdim=True)
+        input_6 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_6 = gates[(slice(None, None, None), slice(3, None, None))]
+        gates = None
+        mul_3 = ctx_global * getitem_6
+        ctx_global = getitem_6 = None
+        ctx_all_3 = ctx_all_2 + mul_3
+        ctx_all_2 = mul_3 = None
+        conv2d_5 = torch.conv2d(
+            ctx_all_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_3 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_5
+        q = conv2d_5 = None
+        x_out_1 = torch.conv2d(
+            x_out,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_5 = x_out_2.permute(0, 2, 3, 1)
+        x_out_2 = None
+        x_6 = torch.nn.functional.layer_norm(
+            x_5,
+            (256,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_5 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_7 = x_6.permute(0, 3, 1, 2)
+        x_6 = None
+        gamma = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_5 = x_7 * gamma
+        x_7 = gamma = None
+        x_8 = x_3 + mul_5
+        x_3 = mul_5 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_10 = torch._C._nn.gelu(x_9, approximate="none")
+        x_9 = None
+        x_11 = torch.nn.functional.dropout(x_10, 0.0, False, False)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_13 = torch.nn.functional.dropout(x_12, 0.0, False, False)
+        x_12 = None
+        x_14 = x_13.permute(0, 2, 3, 1)
+        x_13 = None
+        x_15 = torch.nn.functional.layer_norm(
+            x_14,
+            (256,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_16 = x_15.permute(0, 3, 1, 2)
+        x_15 = None
+        gamma_1 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_6 = x_16 * gamma_1
+        x_16 = gamma_1 = None
+        x_17 = x_8 + mul_6
+        x_8 = mul_6 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_18, [256, 256, 4], 1)
+        x_18 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_7 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_10 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_7 = input_8 * getitem_10
+        getitem_10 = None
+        ctx_all_4 = 0 + mul_7
+        mul_7 = None
+        input_9 = torch.conv2d(
+            input_8,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        input_8 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_8 = input_10 * getitem_11
+        getitem_11 = None
+        ctx_all_5 = ctx_all_4 + mul_8
+        ctx_all_4 = mul_8 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            256,
+        )
+        input_10 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_12 = gates_1[(slice(None, None, None), slice(2, 3, None))]
+        mul_9 = input_12 * getitem_12
+        getitem_12 = None
+        ctx_all_6 = ctx_all_5 + mul_9
+        ctx_all_5 = mul_9 = None
+        mean_1 = input_12.mean((2, 3), keepdim=True)
+        input_12 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_13 = gates_1[(slice(None, None, None), slice(3, None, None))]
+        gates_1 = None
+        mul_10 = ctx_global_1 * getitem_13
+        ctx_global_1 = getitem_13 = None
+        ctx_all_7 = ctx_all_6 + mul_10
+        ctx_all_6 = mul_10 = None
+        conv2d_13 = torch.conv2d(
+            ctx_all_7,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_7 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_13
+        q_1 = conv2d_13 = None
+        x_out_4 = torch.conv2d(
+            x_out_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_19 = x_out_5.permute(0, 2, 3, 1)
+        x_out_5 = None
+        x_20 = torch.nn.functional.layer_norm(
+            x_19,
+            (256,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_19 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_21 = x_20.permute(0, 3, 1, 2)
+        x_20 = None
+        gamma_2 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_12 = x_21 * gamma_2
+        x_21 = gamma_2 = None
+        x_22 = x_17 + mul_12
+        x_17 = mul_12 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_24 = torch._C._nn.gelu(x_23, approximate="none")
+        x_23 = None
+        x_25 = torch.nn.functional.dropout(x_24, 0.0, False, False)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_27 = torch.nn.functional.dropout(x_26, 0.0, False, False)
+        x_26 = None
+        x_28 = x_27.permute(0, 2, 3, 1)
+        x_27 = None
+        x_29 = torch.nn.functional.layer_norm(
+            x_28,
+            (256,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_28 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_30 = x_29.permute(0, 3, 1, 2)
+        x_29 = None
+        gamma_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_13 = x_30 * gamma_3
+        x_30 = gamma_3 = None
+        x_31 = x_22 + mul_13
+        x_22 = mul_13 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_33 = x_32.permute(0, 2, 3, 1)
+        x_32 = None
+        x_34 = torch.nn.functional.layer_norm(
+            x_33,
+            (512,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_33 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_35 = x_34.permute(0, 3, 1, 2)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_36, [512, 512, 4], 1)
+        x_36 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_13 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_17 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_14 = input_14 * getitem_17
+        getitem_17 = None
+        ctx_all_8 = 0 + mul_14
+        mul_14 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_14 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_18 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_15 = input_16 * getitem_18
+        getitem_18 = None
+        ctx_all_9 = ctx_all_8 + mul_15
+        ctx_all_8 = mul_15 = None
+        input_17 = torch.conv2d(
+            input_16,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            512,
+        )
+        input_16 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_19 = gates_2[(slice(None, None, None), slice(2, 3, None))]
+        mul_16 = input_18 * getitem_19
+        getitem_19 = None
+        ctx_all_10 = ctx_all_9 + mul_16
+        ctx_all_9 = mul_16 = None
+        mean_2 = input_18.mean((2, 3), keepdim=True)
+        input_18 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_20 = gates_2[(slice(None, None, None), slice(3, None, None))]
+        gates_2 = None
+        mul_17 = ctx_global_2 * getitem_20
+        ctx_global_2 = getitem_20 = None
+        ctx_all_11 = ctx_all_10 + mul_17
+        ctx_all_10 = mul_17 = None
+        conv2d_22 = torch.conv2d(
+            ctx_all_11,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_11 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_22
+        q_2 = conv2d_22 = None
+        x_out_7 = torch.conv2d(
+            x_out_6,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_6 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_37 = x_out_8.permute(0, 2, 3, 1)
+        x_out_8 = None
+        x_38 = torch.nn.functional.layer_norm(
+            x_37,
+            (512,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_37 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_39 = x_38.permute(0, 3, 1, 2)
+        x_38 = None
+        gamma_4 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_19 = x_39 * gamma_4
+        x_39 = gamma_4 = None
+        x_40 = x_35 + mul_19
+        x_35 = mul_19 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_42 = torch._C._nn.gelu(x_41, approximate="none")
+        x_41 = None
+        x_43 = torch.nn.functional.dropout(x_42, 0.0, False, False)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_45 = torch.nn.functional.dropout(x_44, 0.0, False, False)
+        x_44 = None
+        x_46 = x_45.permute(0, 2, 3, 1)
+        x_45 = None
+        x_47 = torch.nn.functional.layer_norm(
+            x_46,
+            (512,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_48 = x_47.permute(0, 3, 1, 2)
+        x_47 = None
+        gamma_5 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_20 = x_48 * gamma_5
+        x_48 = gamma_5 = None
+        x_49 = x_40 + mul_20
+        x_40 = mul_20 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_50, [512, 512, 4], 1)
+        x_50 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_19 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_24 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_21 = input_20 * getitem_24
+        getitem_24 = None
+        ctx_all_12 = 0 + mul_21
+        mul_21 = None
+        input_21 = torch.conv2d(
+            input_20,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_20 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_25 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_22 = input_22 * getitem_25
+        getitem_25 = None
+        ctx_all_13 = ctx_all_12 + mul_22
+        ctx_all_12 = mul_22 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            512,
+        )
+        input_22 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_26 = gates_3[(slice(None, None, None), slice(2, 3, None))]
+        mul_23 = input_24 * getitem_26
+        getitem_26 = None
+        ctx_all_14 = ctx_all_13 + mul_23
+        ctx_all_13 = mul_23 = None
+        mean_3 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_27 = gates_3[(slice(None, None, None), slice(3, None, None))]
+        gates_3 = None
+        mul_24 = ctx_global_3 * getitem_27
+        ctx_global_3 = getitem_27 = None
+        ctx_all_15 = ctx_all_14 + mul_24
+        ctx_all_14 = mul_24 = None
+        conv2d_30 = torch.conv2d(
+            ctx_all_15,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_15 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_30
+        q_3 = conv2d_30 = None
+        x_out_10 = torch.conv2d(
+            x_out_9,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_9 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_51 = x_out_11.permute(0, 2, 3, 1)
+        x_out_11 = None
+        x_52 = torch.nn.functional.layer_norm(
+            x_51,
+            (512,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_51 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_53 = x_52.permute(0, 3, 1, 2)
+        x_52 = None
+        gamma_6 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_26 = x_53 * gamma_6
+        x_53 = gamma_6 = None
+        x_54 = x_49 + mul_26
+        x_49 = mul_26 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_56 = torch._C._nn.gelu(x_55, approximate="none")
+        x_55 = None
+        x_57 = torch.nn.functional.dropout(x_56, 0.0, False, False)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_59 = torch.nn.functional.dropout(x_58, 0.0, False, False)
+        x_58 = None
+        x_60 = x_59.permute(0, 2, 3, 1)
+        x_59 = None
+        x_61 = torch.nn.functional.layer_norm(
+            x_60,
+            (512,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_62 = x_61.permute(0, 3, 1, 2)
+        x_61 = None
+        gamma_7 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_27 = x_62 * gamma_7
+        x_62 = gamma_7 = None
+        x_63 = x_54 + mul_27
+        x_54 = mul_27 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 2, 3, 1)
+        x_64 = None
+        x_66 = torch.nn.functional.layer_norm(
+            x_65,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_65 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_67 = x_66.permute(0, 3, 1, 2)
+        x_66 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_68, [1024, 1024, 4], 1)
+        x_68 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_25 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_31 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_28 = input_26 * getitem_31
+        getitem_31 = None
+        ctx_all_16 = 0 + mul_28
+        mul_28 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_26 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_32 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_29 = input_28 * getitem_32
+        getitem_32 = None
+        ctx_all_17 = ctx_all_16 + mul_29
+        ctx_all_16 = mul_29 = None
+        input_29 = torch.conv2d(
+            input_28,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_28 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_33 = gates_4[(slice(None, None, None), slice(2, 3, None))]
+        mul_30 = input_30 * getitem_33
+        getitem_33 = None
+        ctx_all_18 = ctx_all_17 + mul_30
+        ctx_all_17 = mul_30 = None
+        mean_4 = input_30.mean((2, 3), keepdim=True)
+        input_30 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_34 = gates_4[(slice(None, None, None), slice(3, None, None))]
+        gates_4 = None
+        mul_31 = ctx_global_4 * getitem_34
+        ctx_global_4 = getitem_34 = None
+        ctx_all_19 = ctx_all_18 + mul_31
+        ctx_all_18 = mul_31 = None
+        conv2d_39 = torch.conv2d(
+            ctx_all_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_19 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_39
+        q_4 = conv2d_39 = None
+        x_out_13 = torch.conv2d(
+            x_out_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_12 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_69 = x_out_14.permute(0, 2, 3, 1)
+        x_out_14 = None
+        x_70 = torch.nn.functional.layer_norm(
+            x_69,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_69 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_71 = x_70.permute(0, 3, 1, 2)
+        x_70 = None
+        gamma_8 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_33 = x_71 * gamma_8
+        x_71 = gamma_8 = None
+        x_72 = x_67 + mul_33
+        x_67 = mul_33 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_74 = torch._C._nn.gelu(x_73, approximate="none")
+        x_73 = None
+        x_75 = torch.nn.functional.dropout(x_74, 0.0, False, False)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_77 = torch.nn.functional.dropout(x_76, 0.0, False, False)
+        x_76 = None
+        x_78 = x_77.permute(0, 2, 3, 1)
+        x_77 = None
+        x_79 = torch.nn.functional.layer_norm(
+            x_78,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_78 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_80 = x_79.permute(0, 3, 1, 2)
+        x_79 = None
+        gamma_9 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_34 = x_80 * gamma_9
+        x_80 = gamma_9 = None
+        x_81 = x_72 + mul_34
+        x_72 = mul_34 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_82, [1024, 1024, 4], 1)
+        x_82 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_31 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_38 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_35 = input_32 * getitem_38
+        getitem_38 = None
+        ctx_all_20 = 0 + mul_35
+        mul_35 = None
+        input_33 = torch.conv2d(
+            input_32,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_32 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_39 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_36 = input_34 * getitem_39
+        getitem_39 = None
+        ctx_all_21 = ctx_all_20 + mul_36
+        ctx_all_20 = mul_36 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_40 = gates_5[(slice(None, None, None), slice(2, 3, None))]
+        mul_37 = input_36 * getitem_40
+        getitem_40 = None
+        ctx_all_22 = ctx_all_21 + mul_37
+        ctx_all_21 = mul_37 = None
+        mean_5 = input_36.mean((2, 3), keepdim=True)
+        input_36 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_41 = gates_5[(slice(None, None, None), slice(3, None, None))]
+        gates_5 = None
+        mul_38 = ctx_global_5 * getitem_41
+        ctx_global_5 = getitem_41 = None
+        ctx_all_23 = ctx_all_22 + mul_38
+        ctx_all_22 = mul_38 = None
+        conv2d_47 = torch.conv2d(
+            ctx_all_23,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_23 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_47
+        q_5 = conv2d_47 = None
+        x_out_16 = torch.conv2d(
+            x_out_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_15 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_83 = x_out_17.permute(0, 2, 3, 1)
+        x_out_17 = None
+        x_84 = torch.nn.functional.layer_norm(
+            x_83,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_83 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_85 = x_84.permute(0, 3, 1, 2)
+        x_84 = None
+        gamma_10 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_40 = x_85 * gamma_10
+        x_85 = gamma_10 = None
+        x_86 = x_81 + mul_40
+        x_81 = mul_40 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_88 = torch._C._nn.gelu(x_87, approximate="none")
+        x_87 = None
+        x_89 = torch.nn.functional.dropout(x_88, 0.0, False, False)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_91 = torch.nn.functional.dropout(x_90, 0.0, False, False)
+        x_90 = None
+        x_92 = x_91.permute(0, 2, 3, 1)
+        x_91 = None
+        x_93 = torch.nn.functional.layer_norm(
+            x_92,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_92 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_94 = x_93.permute(0, 3, 1, 2)
+        x_93 = None
+        gamma_11 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_41 = x_94 * gamma_11
+        x_94 = gamma_11 = None
+        x_95 = x_86 + mul_41
+        x_86 = mul_41 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_96, [1024, 1024, 4], 1)
+        x_96 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_37 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_45 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_42 = input_38 * getitem_45
+        getitem_45 = None
+        ctx_all_24 = 0 + mul_42
+        mul_42 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_46 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_43 = input_40 * getitem_46
+        getitem_46 = None
+        ctx_all_25 = ctx_all_24 + mul_43
+        ctx_all_24 = mul_43 = None
+        input_41 = torch.conv2d(
+            input_40,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_40 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_47 = gates_6[(slice(None, None, None), slice(2, 3, None))]
+        mul_44 = input_42 * getitem_47
+        getitem_47 = None
+        ctx_all_26 = ctx_all_25 + mul_44
+        ctx_all_25 = mul_44 = None
+        mean_6 = input_42.mean((2, 3), keepdim=True)
+        input_42 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_48 = gates_6[(slice(None, None, None), slice(3, None, None))]
+        gates_6 = None
+        mul_45 = ctx_global_6 * getitem_48
+        ctx_global_6 = getitem_48 = None
+        ctx_all_27 = ctx_all_26 + mul_45
+        ctx_all_26 = mul_45 = None
+        conv2d_55 = torch.conv2d(
+            ctx_all_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_27 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_55
+        q_6 = conv2d_55 = None
+        x_out_19 = torch.conv2d(
+            x_out_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_18 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_97 = x_out_20.permute(0, 2, 3, 1)
+        x_out_20 = None
+        x_98 = torch.nn.functional.layer_norm(
+            x_97,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_97 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = (None)
+        x_99 = x_98.permute(0, 3, 1, 2)
+        x_98 = None
+        gamma_12 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_47 = x_99 * gamma_12
+        x_99 = gamma_12 = None
+        x_100 = x_95 + mul_47
+        x_95 = mul_47 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_102 = torch._C._nn.gelu(x_101, approximate="none")
+        x_101 = None
+        x_103 = torch.nn.functional.dropout(x_102, 0.0, False, False)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_105 = torch.nn.functional.dropout(x_104, 0.0, False, False)
+        x_104 = None
+        x_106 = x_105.permute(0, 2, 3, 1)
+        x_105 = None
+        x_107 = torch.nn.functional.layer_norm(
+            x_106,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_106 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = (None)
+        x_108 = x_107.permute(0, 3, 1, 2)
+        x_107 = None
+        gamma_13 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_48 = x_108 * gamma_13
+        x_108 = gamma_13 = None
+        x_109 = x_100 + mul_48
+        x_100 = mul_48 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_110, [1024, 1024, 4], 1)
+        x_110 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_43 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_52 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_49 = input_44 * getitem_52
+        getitem_52 = None
+        ctx_all_28 = 0 + mul_49
+        mul_49 = None
+        input_45 = torch.conv2d(
+            input_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_44 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_53 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_50 = input_46 * getitem_53
+        getitem_53 = None
+        ctx_all_29 = ctx_all_28 + mul_50
+        ctx_all_28 = mul_50 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_46 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_54 = gates_7[(slice(None, None, None), slice(2, 3, None))]
+        mul_51 = input_48 * getitem_54
+        getitem_54 = None
+        ctx_all_30 = ctx_all_29 + mul_51
+        ctx_all_29 = mul_51 = None
+        mean_7 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_55 = gates_7[(slice(None, None, None), slice(3, None, None))]
+        gates_7 = None
+        mul_52 = ctx_global_7 * getitem_55
+        ctx_global_7 = getitem_55 = None
+        ctx_all_31 = ctx_all_30 + mul_52
+        ctx_all_30 = mul_52 = None
+        conv2d_63 = torch.conv2d(
+            ctx_all_31,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_31 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_63
+        q_7 = conv2d_63 = None
+        x_out_22 = torch.conv2d(
+            x_out_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_21 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_111 = x_out_23.permute(0, 2, 3, 1)
+        x_out_23 = None
+        x_112 = torch.nn.functional.layer_norm(
+            x_111,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_111 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = (None)
+        x_113 = x_112.permute(0, 3, 1, 2)
+        x_112 = None
+        gamma_14 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_54 = x_113 * gamma_14
+        x_113 = gamma_14 = None
+        x_114 = x_109 + mul_54
+        x_109 = mul_54 = None
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_116 = torch._C._nn.gelu(x_115, approximate="none")
+        x_115 = None
+        x_117 = torch.nn.functional.dropout(x_116, 0.0, False, False)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_119 = torch.nn.functional.dropout(x_118, 0.0, False, False)
+        x_118 = None
+        x_120 = x_119.permute(0, 2, 3, 1)
+        x_119 = None
+        x_121 = torch.nn.functional.layer_norm(
+            x_120,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_120 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = (None)
+        x_122 = x_121.permute(0, 3, 1, 2)
+        x_121 = None
+        gamma_15 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_55 = x_122 * gamma_15
+        x_122 = gamma_15 = None
+        x_123 = x_114 + mul_55
+        x_114 = mul_55 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_124, [1024, 1024, 4], 1)
+        x_124 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_49 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_50 = torch._C._nn.gelu(input_49, approximate="none")
+        input_49 = None
+        getitem_59 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_56 = input_50 * getitem_59
+        getitem_59 = None
+        ctx_all_32 = 0 + mul_56
+        mul_56 = None
+        input_51 = torch.conv2d(
+            input_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_50 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_52 = torch._C._nn.gelu(input_51, approximate="none")
+        input_51 = None
+        getitem_60 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_57 = input_52 * getitem_60
+        getitem_60 = None
+        ctx_all_33 = ctx_all_32 + mul_57
+        ctx_all_32 = mul_57 = None
+        input_53 = torch.conv2d(
+            input_52,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_52 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_54 = torch._C._nn.gelu(input_53, approximate="none")
+        input_53 = None
+        getitem_61 = gates_8[(slice(None, None, None), slice(2, 3, None))]
+        mul_58 = input_54 * getitem_61
+        getitem_61 = None
+        ctx_all_34 = ctx_all_33 + mul_58
+        ctx_all_33 = mul_58 = None
+        mean_8 = input_54.mean((2, 3), keepdim=True)
+        input_54 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_62 = gates_8[(slice(None, None, None), slice(3, None, None))]
+        gates_8 = None
+        mul_59 = ctx_global_8 * getitem_62
+        ctx_global_8 = getitem_62 = None
+        ctx_all_35 = ctx_all_34 + mul_59
+        ctx_all_34 = mul_59 = None
+        conv2d_71 = torch.conv2d(
+            ctx_all_35,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_35 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_71
+        q_8 = conv2d_71 = None
+        x_out_25 = torch.conv2d(
+            x_out_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_24 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_125 = x_out_26.permute(0, 2, 3, 1)
+        x_out_26 = None
+        x_126 = torch.nn.functional.layer_norm(
+            x_125,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_125 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = (None)
+        x_127 = x_126.permute(0, 3, 1, 2)
+        x_126 = None
+        gamma_16 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_61 = x_127 * gamma_16
+        x_127 = gamma_16 = None
+        x_128 = x_123 + mul_61
+        x_123 = mul_61 = None
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_130 = torch._C._nn.gelu(x_129, approximate="none")
+        x_129 = None
+        x_131 = torch.nn.functional.dropout(x_130, 0.0, False, False)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_131 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_133 = torch.nn.functional.dropout(x_132, 0.0, False, False)
+        x_132 = None
+        x_134 = x_133.permute(0, 2, 3, 1)
+        x_133 = None
+        x_135 = torch.nn.functional.layer_norm(
+            x_134,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = (None)
+        x_136 = x_135.permute(0, 3, 1, 2)
+        x_135 = None
+        gamma_17 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_62 = x_136 * gamma_17
+        x_136 = gamma_17 = None
+        x_137 = x_128 + mul_62
+        x_128 = mul_62 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_138, [1024, 1024, 4], 1)
+        x_138 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_55 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_56 = torch._C._nn.gelu(input_55, approximate="none")
+        input_55 = None
+        getitem_66 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_63 = input_56 * getitem_66
+        getitem_66 = None
+        ctx_all_36 = 0 + mul_63
+        mul_63 = None
+        input_57 = torch.conv2d(
+            input_56,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_56 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_58 = torch._C._nn.gelu(input_57, approximate="none")
+        input_57 = None
+        getitem_67 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_64 = input_58 * getitem_67
+        getitem_67 = None
+        ctx_all_37 = ctx_all_36 + mul_64
+        ctx_all_36 = mul_64 = None
+        input_59 = torch.conv2d(
+            input_58,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_58 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_60 = torch._C._nn.gelu(input_59, approximate="none")
+        input_59 = None
+        getitem_68 = gates_9[(slice(None, None, None), slice(2, 3, None))]
+        mul_65 = input_60 * getitem_68
+        getitem_68 = None
+        ctx_all_38 = ctx_all_37 + mul_65
+        ctx_all_37 = mul_65 = None
+        mean_9 = input_60.mean((2, 3), keepdim=True)
+        input_60 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_69 = gates_9[(slice(None, None, None), slice(3, None, None))]
+        gates_9 = None
+        mul_66 = ctx_global_9 * getitem_69
+        ctx_global_9 = getitem_69 = None
+        ctx_all_39 = ctx_all_38 + mul_66
+        ctx_all_38 = mul_66 = None
+        conv2d_79 = torch.conv2d(
+            ctx_all_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_39 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_79
+        q_9 = conv2d_79 = None
+        x_out_28 = torch.conv2d(
+            x_out_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_27 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_139 = x_out_29.permute(0, 2, 3, 1)
+        x_out_29 = None
+        x_140 = torch.nn.functional.layer_norm(
+            x_139,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_139 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = (None)
+        x_141 = x_140.permute(0, 3, 1, 2)
+        x_140 = None
+        gamma_18 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_68 = x_141 * gamma_18
+        x_141 = gamma_18 = None
+        x_142 = x_137 + mul_68
+        x_137 = mul_68 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_144 = torch._C._nn.gelu(x_143, approximate="none")
+        x_143 = None
+        x_145 = torch.nn.functional.dropout(x_144, 0.0, False, False)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_147 = torch.nn.functional.dropout(x_146, 0.0, False, False)
+        x_146 = None
+        x_148 = x_147.permute(0, 2, 3, 1)
+        x_147 = None
+        x_149 = torch.nn.functional.layer_norm(
+            x_148,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_148 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = (None)
+        x_150 = x_149.permute(0, 3, 1, 2)
+        x_149 = None
+        gamma_19 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_69 = x_150 * gamma_19
+        x_150 = gamma_19 = None
+        x_151 = x_142 + mul_69
+        x_142 = mul_69 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_152, [1024, 1024, 4], 1)
+        x_152 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_61 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_10 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_62 = torch._C._nn.gelu(input_61, approximate="none")
+        input_61 = None
+        getitem_73 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_70 = input_62 * getitem_73
+        getitem_73 = None
+        ctx_all_40 = 0 + mul_70
+        mul_70 = None
+        input_63 = torch.conv2d(
+            input_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_62 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_64 = torch._C._nn.gelu(input_63, approximate="none")
+        input_63 = None
+        getitem_74 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_71 = input_64 * getitem_74
+        getitem_74 = None
+        ctx_all_41 = ctx_all_40 + mul_71
+        ctx_all_40 = mul_71 = None
+        input_65 = torch.conv2d(
+            input_64,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_64 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_66 = torch._C._nn.gelu(input_65, approximate="none")
+        input_65 = None
+        getitem_75 = gates_10[(slice(None, None, None), slice(2, 3, None))]
+        mul_72 = input_66 * getitem_75
+        getitem_75 = None
+        ctx_all_42 = ctx_all_41 + mul_72
+        ctx_all_41 = mul_72 = None
+        mean_10 = input_66.mean((2, 3), keepdim=True)
+        input_66 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_76 = gates_10[(slice(None, None, None), slice(3, None, None))]
+        gates_10 = None
+        mul_73 = ctx_global_10 * getitem_76
+        ctx_global_10 = getitem_76 = None
+        ctx_all_43 = ctx_all_42 + mul_73
+        ctx_all_42 = mul_73 = None
+        conv2d_87 = torch.conv2d(
+            ctx_all_43,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_43 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_87
+        q_10 = conv2d_87 = None
+        x_out_31 = torch.conv2d(
+            x_out_30,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_30 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_153 = x_out_32.permute(0, 2, 3, 1)
+        x_out_32 = None
+        x_154 = torch.nn.functional.layer_norm(
+            x_153,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_153 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = (None)
+        x_155 = x_154.permute(0, 3, 1, 2)
+        x_154 = None
+        gamma_20 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_75 = x_155 * gamma_20
+        x_155 = gamma_20 = None
+        x_156 = x_151 + mul_75
+        x_151 = mul_75 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_158 = torch._C._nn.gelu(x_157, approximate="none")
+        x_157 = None
+        x_159 = torch.nn.functional.dropout(x_158, 0.0, False, False)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_161 = torch.nn.functional.dropout(x_160, 0.0, False, False)
+        x_160 = None
+        x_162 = x_161.permute(0, 2, 3, 1)
+        x_161 = None
+        x_163 = torch.nn.functional.layer_norm(
+            x_162,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_162 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = (None)
+        x_164 = x_163.permute(0, 3, 1, 2)
+        x_163 = None
+        gamma_21 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_76 = x_164 * gamma_21
+        x_164 = gamma_21 = None
+        x_165 = x_156 + mul_76
+        x_156 = mul_76 = None
+        x_166 = torch.conv2d(
+            x_165,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_166, [1024, 1024, 4], 1)
+        x_166 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_67 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_11 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_68 = torch._C._nn.gelu(input_67, approximate="none")
+        input_67 = None
+        getitem_80 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_77 = input_68 * getitem_80
+        getitem_80 = None
+        ctx_all_44 = 0 + mul_77
+        mul_77 = None
+        input_69 = torch.conv2d(
+            input_68,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_68 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_70 = torch._C._nn.gelu(input_69, approximate="none")
+        input_69 = None
+        getitem_81 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_78 = input_70 * getitem_81
+        getitem_81 = None
+        ctx_all_45 = ctx_all_44 + mul_78
+        ctx_all_44 = mul_78 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_70 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_72 = torch._C._nn.gelu(input_71, approximate="none")
+        input_71 = None
+        getitem_82 = gates_11[(slice(None, None, None), slice(2, 3, None))]
+        mul_79 = input_72 * getitem_82
+        getitem_82 = None
+        ctx_all_46 = ctx_all_45 + mul_79
+        ctx_all_45 = mul_79 = None
+        mean_11 = input_72.mean((2, 3), keepdim=True)
+        input_72 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_83 = gates_11[(slice(None, None, None), slice(3, None, None))]
+        gates_11 = None
+        mul_80 = ctx_global_11 * getitem_83
+        ctx_global_11 = getitem_83 = None
+        ctx_all_47 = ctx_all_46 + mul_80
+        ctx_all_46 = mul_80 = None
+        conv2d_95 = torch.conv2d(
+            ctx_all_47,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_47 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_95
+        q_11 = conv2d_95 = None
+        x_out_34 = torch.conv2d(
+            x_out_33,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_33 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_167 = x_out_35.permute(0, 2, 3, 1)
+        x_out_35 = None
+        x_168 = torch.nn.functional.layer_norm(
+            x_167,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_167 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = (None)
+        x_169 = x_168.permute(0, 3, 1, 2)
+        x_168 = None
+        gamma_22 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_82 = x_169 * gamma_22
+        x_169 = gamma_22 = None
+        x_170 = x_165 + mul_82
+        x_165 = mul_82 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_172 = torch._C._nn.gelu(x_171, approximate="none")
+        x_171 = None
+        x_173 = torch.nn.functional.dropout(x_172, 0.0, False, False)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_175 = torch.nn.functional.dropout(x_174, 0.0, False, False)
+        x_174 = None
+        x_176 = x_175.permute(0, 2, 3, 1)
+        x_175 = None
+        x_177 = torch.nn.functional.layer_norm(
+            x_176,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_176 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = (None)
+        x_178 = x_177.permute(0, 3, 1, 2)
+        x_177 = None
+        gamma_23 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_83 = x_178 * gamma_23
+        x_178 = gamma_23 = None
+        x_179 = x_170 + mul_83
+        x_170 = mul_83 = None
+        x_180 = torch.conv2d(
+            x_179,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_12 = torch.functional.split(x_180, [1024, 1024, 4], 1)
+        x_180 = None
+        q_12 = split_12[0]
+        ctx_12 = split_12[1]
+        gates_12 = split_12[2]
+        split_12 = None
+        input_73 = torch.conv2d(
+            ctx_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_12 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_74 = torch._C._nn.gelu(input_73, approximate="none")
+        input_73 = None
+        getitem_87 = gates_12[(slice(None, None, None), slice(0, 1, None))]
+        mul_84 = input_74 * getitem_87
+        getitem_87 = None
+        ctx_all_48 = 0 + mul_84
+        mul_84 = None
+        input_75 = torch.conv2d(
+            input_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_74 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_76 = torch._C._nn.gelu(input_75, approximate="none")
+        input_75 = None
+        getitem_88 = gates_12[(slice(None, None, None), slice(1, 2, None))]
+        mul_85 = input_76 * getitem_88
+        getitem_88 = None
+        ctx_all_49 = ctx_all_48 + mul_85
+        ctx_all_48 = mul_85 = None
+        input_77 = torch.conv2d(
+            input_76,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_76 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_78 = torch._C._nn.gelu(input_77, approximate="none")
+        input_77 = None
+        getitem_89 = gates_12[(slice(None, None, None), slice(2, 3, None))]
+        mul_86 = input_78 * getitem_89
+        getitem_89 = None
+        ctx_all_50 = ctx_all_49 + mul_86
+        ctx_all_49 = mul_86 = None
+        mean_12 = input_78.mean((2, 3), keepdim=True)
+        input_78 = None
+        ctx_global_12 = torch._C._nn.gelu(mean_12, approximate="none")
+        mean_12 = None
+        getitem_90 = gates_12[(slice(None, None, None), slice(3, None, None))]
+        gates_12 = None
+        mul_87 = ctx_global_12 * getitem_90
+        ctx_global_12 = getitem_90 = None
+        ctx_all_51 = ctx_all_50 + mul_87
+        ctx_all_50 = mul_87 = None
+        conv2d_103 = torch.conv2d(
+            ctx_all_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_51 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_36 = q_12 * conv2d_103
+        q_12 = conv2d_103 = None
+        x_out_37 = torch.conv2d(
+            x_out_36,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_36 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_38 = torch.nn.functional.dropout(x_out_37, 0.0, False, False)
+        x_out_37 = None
+        x_181 = x_out_38.permute(0, 2, 3, 1)
+        x_out_38 = None
+        x_182 = torch.nn.functional.layer_norm(
+            x_181,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_181 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = (None)
+        x_183 = x_182.permute(0, 3, 1, 2)
+        x_182 = None
+        gamma_24 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_89 = x_183 * gamma_24
+        x_183 = gamma_24 = None
+        x_184 = x_179 + mul_89
+        x_179 = mul_89 = None
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_186 = torch._C._nn.gelu(x_185, approximate="none")
+        x_185 = None
+        x_187 = torch.nn.functional.dropout(x_186, 0.0, False, False)
+        x_186 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_187 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_189 = torch.nn.functional.dropout(x_188, 0.0, False, False)
+        x_188 = None
+        x_190 = x_189.permute(0, 2, 3, 1)
+        x_189 = None
+        x_191 = torch.nn.functional.layer_norm(
+            x_190,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_190 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = (None)
+        x_192 = x_191.permute(0, 3, 1, 2)
+        x_191 = None
+        gamma_25 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_90 = x_192 * gamma_25
+        x_192 = gamma_25 = None
+        x_193 = x_184 + mul_90
+        x_184 = mul_90 = None
+        x_194 = torch.conv2d(
+            x_193,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_13 = torch.functional.split(x_194, [1024, 1024, 4], 1)
+        x_194 = None
+        q_13 = split_13[0]
+        ctx_13 = split_13[1]
+        gates_13 = split_13[2]
+        split_13 = None
+        input_79 = torch.conv2d(
+            ctx_13,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_13 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_80 = torch._C._nn.gelu(input_79, approximate="none")
+        input_79 = None
+        getitem_94 = gates_13[(slice(None, None, None), slice(0, 1, None))]
+        mul_91 = input_80 * getitem_94
+        getitem_94 = None
+        ctx_all_52 = 0 + mul_91
+        mul_91 = None
+        input_81 = torch.conv2d(
+            input_80,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_80 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_82 = torch._C._nn.gelu(input_81, approximate="none")
+        input_81 = None
+        getitem_95 = gates_13[(slice(None, None, None), slice(1, 2, None))]
+        mul_92 = input_82 * getitem_95
+        getitem_95 = None
+        ctx_all_53 = ctx_all_52 + mul_92
+        ctx_all_52 = mul_92 = None
+        input_83 = torch.conv2d(
+            input_82,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_82 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_84 = torch._C._nn.gelu(input_83, approximate="none")
+        input_83 = None
+        getitem_96 = gates_13[(slice(None, None, None), slice(2, 3, None))]
+        mul_93 = input_84 * getitem_96
+        getitem_96 = None
+        ctx_all_54 = ctx_all_53 + mul_93
+        ctx_all_53 = mul_93 = None
+        mean_13 = input_84.mean((2, 3), keepdim=True)
+        input_84 = None
+        ctx_global_13 = torch._C._nn.gelu(mean_13, approximate="none")
+        mean_13 = None
+        getitem_97 = gates_13[(slice(None, None, None), slice(3, None, None))]
+        gates_13 = None
+        mul_94 = ctx_global_13 * getitem_97
+        ctx_global_13 = getitem_97 = None
+        ctx_all_55 = ctx_all_54 + mul_94
+        ctx_all_54 = mul_94 = None
+        conv2d_111 = torch.conv2d(
+            ctx_all_55,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_55 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_39 = q_13 * conv2d_111
+        q_13 = conv2d_111 = None
+        x_out_40 = torch.conv2d(
+            x_out_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_39 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_41 = torch.nn.functional.dropout(x_out_40, 0.0, False, False)
+        x_out_40 = None
+        x_195 = x_out_41.permute(0, 2, 3, 1)
+        x_out_41 = None
+        x_196 = torch.nn.functional.layer_norm(
+            x_195,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_195 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = (None)
+        x_197 = x_196.permute(0, 3, 1, 2)
+        x_196 = None
+        gamma_26 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_96 = x_197 * gamma_26
+        x_197 = gamma_26 = None
+        x_198 = x_193 + mul_96
+        x_193 = mul_96 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_200 = torch._C._nn.gelu(x_199, approximate="none")
+        x_199 = None
+        x_201 = torch.nn.functional.dropout(x_200, 0.0, False, False)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_201 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_203 = torch.nn.functional.dropout(x_202, 0.0, False, False)
+        x_202 = None
+        x_204 = x_203.permute(0, 2, 3, 1)
+        x_203 = None
+        x_205 = torch.nn.functional.layer_norm(
+            x_204,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_204 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = (None)
+        x_206 = x_205.permute(0, 3, 1, 2)
+        x_205 = None
+        gamma_27 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_97 = x_206 * gamma_27
+        x_206 = gamma_27 = None
+        x_207 = x_198 + mul_97
+        x_198 = mul_97 = None
+        x_208 = torch.conv2d(
+            x_207,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_14 = torch.functional.split(x_208, [1024, 1024, 4], 1)
+        x_208 = None
+        q_14 = split_14[0]
+        ctx_14 = split_14[1]
+        gates_14 = split_14[2]
+        split_14 = None
+        input_85 = torch.conv2d(
+            ctx_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_14 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_86 = torch._C._nn.gelu(input_85, approximate="none")
+        input_85 = None
+        getitem_101 = gates_14[(slice(None, None, None), slice(0, 1, None))]
+        mul_98 = input_86 * getitem_101
+        getitem_101 = None
+        ctx_all_56 = 0 + mul_98
+        mul_98 = None
+        input_87 = torch.conv2d(
+            input_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_86 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_88 = torch._C._nn.gelu(input_87, approximate="none")
+        input_87 = None
+        getitem_102 = gates_14[(slice(None, None, None), slice(1, 2, None))]
+        mul_99 = input_88 * getitem_102
+        getitem_102 = None
+        ctx_all_57 = ctx_all_56 + mul_99
+        ctx_all_56 = mul_99 = None
+        input_89 = torch.conv2d(
+            input_88,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_88 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_90 = torch._C._nn.gelu(input_89, approximate="none")
+        input_89 = None
+        getitem_103 = gates_14[(slice(None, None, None), slice(2, 3, None))]
+        mul_100 = input_90 * getitem_103
+        getitem_103 = None
+        ctx_all_58 = ctx_all_57 + mul_100
+        ctx_all_57 = mul_100 = None
+        mean_14 = input_90.mean((2, 3), keepdim=True)
+        input_90 = None
+        ctx_global_14 = torch._C._nn.gelu(mean_14, approximate="none")
+        mean_14 = None
+        getitem_104 = gates_14[(slice(None, None, None), slice(3, None, None))]
+        gates_14 = None
+        mul_101 = ctx_global_14 * getitem_104
+        ctx_global_14 = getitem_104 = None
+        ctx_all_59 = ctx_all_58 + mul_101
+        ctx_all_58 = mul_101 = None
+        conv2d_119 = torch.conv2d(
+            ctx_all_59,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_59 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_42 = q_14 * conv2d_119
+        q_14 = conv2d_119 = None
+        x_out_43 = torch.conv2d(
+            x_out_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_42 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_44 = torch.nn.functional.dropout(x_out_43, 0.0, False, False)
+        x_out_43 = None
+        x_209 = x_out_44.permute(0, 2, 3, 1)
+        x_out_44 = None
+        x_210 = torch.nn.functional.layer_norm(
+            x_209,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_209 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = (None)
+        x_211 = x_210.permute(0, 3, 1, 2)
+        x_210 = None
+        gamma_28 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_103 = x_211 * gamma_28
+        x_211 = gamma_28 = None
+        x_212 = x_207 + mul_103
+        x_207 = mul_103 = None
+        x_213 = torch.conv2d(
+            x_212,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_214 = torch._C._nn.gelu(x_213, approximate="none")
+        x_213 = None
+        x_215 = torch.nn.functional.dropout(x_214, 0.0, False, False)
+        x_214 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_215 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_217 = torch.nn.functional.dropout(x_216, 0.0, False, False)
+        x_216 = None
+        x_218 = x_217.permute(0, 2, 3, 1)
+        x_217 = None
+        x_219 = torch.nn.functional.layer_norm(
+            x_218,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_218 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = (None)
+        x_220 = x_219.permute(0, 3, 1, 2)
+        x_219 = None
+        gamma_29 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_104 = x_220 * gamma_29
+        x_220 = gamma_29 = None
+        x_221 = x_212 + mul_104
+        x_212 = mul_104 = None
+        x_222 = torch.conv2d(
+            x_221,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_15 = torch.functional.split(x_222, [1024, 1024, 4], 1)
+        x_222 = None
+        q_15 = split_15[0]
+        ctx_15 = split_15[1]
+        gates_15 = split_15[2]
+        split_15 = None
+        input_91 = torch.conv2d(
+            ctx_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_15 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_92 = torch._C._nn.gelu(input_91, approximate="none")
+        input_91 = None
+        getitem_108 = gates_15[(slice(None, None, None), slice(0, 1, None))]
+        mul_105 = input_92 * getitem_108
+        getitem_108 = None
+        ctx_all_60 = 0 + mul_105
+        mul_105 = None
+        input_93 = torch.conv2d(
+            input_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_92 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_94 = torch._C._nn.gelu(input_93, approximate="none")
+        input_93 = None
+        getitem_109 = gates_15[(slice(None, None, None), slice(1, 2, None))]
+        mul_106 = input_94 * getitem_109
+        getitem_109 = None
+        ctx_all_61 = ctx_all_60 + mul_106
+        ctx_all_60 = mul_106 = None
+        input_95 = torch.conv2d(
+            input_94,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_94 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_96 = torch._C._nn.gelu(input_95, approximate="none")
+        input_95 = None
+        getitem_110 = gates_15[(slice(None, None, None), slice(2, 3, None))]
+        mul_107 = input_96 * getitem_110
+        getitem_110 = None
+        ctx_all_62 = ctx_all_61 + mul_107
+        ctx_all_61 = mul_107 = None
+        mean_15 = input_96.mean((2, 3), keepdim=True)
+        input_96 = None
+        ctx_global_15 = torch._C._nn.gelu(mean_15, approximate="none")
+        mean_15 = None
+        getitem_111 = gates_15[(slice(None, None, None), slice(3, None, None))]
+        gates_15 = None
+        mul_108 = ctx_global_15 * getitem_111
+        ctx_global_15 = getitem_111 = None
+        ctx_all_63 = ctx_all_62 + mul_108
+        ctx_all_62 = mul_108 = None
+        conv2d_127 = torch.conv2d(
+            ctx_all_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_63 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_45 = q_15 * conv2d_127
+        q_15 = conv2d_127 = None
+        x_out_46 = torch.conv2d(
+            x_out_45,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_45 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_47 = torch.nn.functional.dropout(x_out_46, 0.0, False, False)
+        x_out_46 = None
+        x_223 = x_out_47.permute(0, 2, 3, 1)
+        x_out_47 = None
+        x_224 = torch.nn.functional.layer_norm(
+            x_223,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_223 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = (None)
+        x_225 = x_224.permute(0, 3, 1, 2)
+        x_224 = None
+        gamma_30 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_110 = x_225 * gamma_30
+        x_225 = gamma_30 = None
+        x_226 = x_221 + mul_110
+        x_221 = mul_110 = None
+        x_227 = torch.conv2d(
+            x_226,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_228 = torch._C._nn.gelu(x_227, approximate="none")
+        x_227 = None
+        x_229 = torch.nn.functional.dropout(x_228, 0.0, False, False)
+        x_228 = None
+        x_230 = torch.conv2d(
+            x_229,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_229 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_231 = torch.nn.functional.dropout(x_230, 0.0, False, False)
+        x_230 = None
+        x_232 = x_231.permute(0, 2, 3, 1)
+        x_231 = None
+        x_233 = torch.nn.functional.layer_norm(
+            x_232,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_232 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = (None)
+        x_234 = x_233.permute(0, 3, 1, 2)
+        x_233 = None
+        gamma_31 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_111 = x_234 * gamma_31
+        x_234 = gamma_31 = None
+        x_235 = x_226 + mul_111
+        x_226 = mul_111 = None
+        x_236 = torch.conv2d(
+            x_235,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_16 = torch.functional.split(x_236, [1024, 1024, 4], 1)
+        x_236 = None
+        q_16 = split_16[0]
+        ctx_16 = split_16[1]
+        gates_16 = split_16[2]
+        split_16 = None
+        input_97 = torch.conv2d(
+            ctx_16,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_16 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_98 = torch._C._nn.gelu(input_97, approximate="none")
+        input_97 = None
+        getitem_115 = gates_16[(slice(None, None, None), slice(0, 1, None))]
+        mul_112 = input_98 * getitem_115
+        getitem_115 = None
+        ctx_all_64 = 0 + mul_112
+        mul_112 = None
+        input_99 = torch.conv2d(
+            input_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_98 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_100 = torch._C._nn.gelu(input_99, approximate="none")
+        input_99 = None
+        getitem_116 = gates_16[(slice(None, None, None), slice(1, 2, None))]
+        mul_113 = input_100 * getitem_116
+        getitem_116 = None
+        ctx_all_65 = ctx_all_64 + mul_113
+        ctx_all_64 = mul_113 = None
+        input_101 = torch.conv2d(
+            input_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_100 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_102 = torch._C._nn.gelu(input_101, approximate="none")
+        input_101 = None
+        getitem_117 = gates_16[(slice(None, None, None), slice(2, 3, None))]
+        mul_114 = input_102 * getitem_117
+        getitem_117 = None
+        ctx_all_66 = ctx_all_65 + mul_114
+        ctx_all_65 = mul_114 = None
+        mean_16 = input_102.mean((2, 3), keepdim=True)
+        input_102 = None
+        ctx_global_16 = torch._C._nn.gelu(mean_16, approximate="none")
+        mean_16 = None
+        getitem_118 = gates_16[(slice(None, None, None), slice(3, None, None))]
+        gates_16 = None
+        mul_115 = ctx_global_16 * getitem_118
+        ctx_global_16 = getitem_118 = None
+        ctx_all_67 = ctx_all_66 + mul_115
+        ctx_all_66 = mul_115 = None
+        conv2d_135 = torch.conv2d(
+            ctx_all_67,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_67 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_48 = q_16 * conv2d_135
+        q_16 = conv2d_135 = None
+        x_out_49 = torch.conv2d(
+            x_out_48,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_48 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_50 = torch.nn.functional.dropout(x_out_49, 0.0, False, False)
+        x_out_49 = None
+        x_237 = x_out_50.permute(0, 2, 3, 1)
+        x_out_50 = None
+        x_238 = torch.nn.functional.layer_norm(
+            x_237,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_237 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = (None)
+        x_239 = x_238.permute(0, 3, 1, 2)
+        x_238 = None
+        gamma_32 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_117 = x_239 * gamma_32
+        x_239 = gamma_32 = None
+        x_240 = x_235 + mul_117
+        x_235 = mul_117 = None
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_242 = torch._C._nn.gelu(x_241, approximate="none")
+        x_241 = None
+        x_243 = torch.nn.functional.dropout(x_242, 0.0, False, False)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_243 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_245 = torch.nn.functional.dropout(x_244, 0.0, False, False)
+        x_244 = None
+        x_246 = x_245.permute(0, 2, 3, 1)
+        x_245 = None
+        x_247 = torch.nn.functional.layer_norm(
+            x_246,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_246 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = (None)
+        x_248 = x_247.permute(0, 3, 1, 2)
+        x_247 = None
+        gamma_33 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_118 = x_248 * gamma_33
+        x_248 = gamma_33 = None
+        x_249 = x_240 + mul_118
+        x_240 = mul_118 = None
+        x_250 = torch.conv2d(
+            x_249,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_17 = torch.functional.split(x_250, [1024, 1024, 4], 1)
+        x_250 = None
+        q_17 = split_17[0]
+        ctx_17 = split_17[1]
+        gates_17 = split_17[2]
+        split_17 = None
+        input_103 = torch.conv2d(
+            ctx_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_17 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_104 = torch._C._nn.gelu(input_103, approximate="none")
+        input_103 = None
+        getitem_122 = gates_17[(slice(None, None, None), slice(0, 1, None))]
+        mul_119 = input_104 * getitem_122
+        getitem_122 = None
+        ctx_all_68 = 0 + mul_119
+        mul_119 = None
+        input_105 = torch.conv2d(
+            input_104,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_104 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_106 = torch._C._nn.gelu(input_105, approximate="none")
+        input_105 = None
+        getitem_123 = gates_17[(slice(None, None, None), slice(1, 2, None))]
+        mul_120 = input_106 * getitem_123
+        getitem_123 = None
+        ctx_all_69 = ctx_all_68 + mul_120
+        ctx_all_68 = mul_120 = None
+        input_107 = torch.conv2d(
+            input_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_106 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_108 = torch._C._nn.gelu(input_107, approximate="none")
+        input_107 = None
+        getitem_124 = gates_17[(slice(None, None, None), slice(2, 3, None))]
+        mul_121 = input_108 * getitem_124
+        getitem_124 = None
+        ctx_all_70 = ctx_all_69 + mul_121
+        ctx_all_69 = mul_121 = None
+        mean_17 = input_108.mean((2, 3), keepdim=True)
+        input_108 = None
+        ctx_global_17 = torch._C._nn.gelu(mean_17, approximate="none")
+        mean_17 = None
+        getitem_125 = gates_17[(slice(None, None, None), slice(3, None, None))]
+        gates_17 = None
+        mul_122 = ctx_global_17 * getitem_125
+        ctx_global_17 = getitem_125 = None
+        ctx_all_71 = ctx_all_70 + mul_122
+        ctx_all_70 = mul_122 = None
+        conv2d_143 = torch.conv2d(
+            ctx_all_71,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_71 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_51 = q_17 * conv2d_143
+        q_17 = conv2d_143 = None
+        x_out_52 = torch.conv2d(
+            x_out_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_51 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_53 = torch.nn.functional.dropout(x_out_52, 0.0, False, False)
+        x_out_52 = None
+        x_251 = x_out_53.permute(0, 2, 3, 1)
+        x_out_53 = None
+        x_252 = torch.nn.functional.layer_norm(
+            x_251,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_251 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = (None)
+        x_253 = x_252.permute(0, 3, 1, 2)
+        x_252 = None
+        gamma_34 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_124 = x_253 * gamma_34
+        x_253 = gamma_34 = None
+        x_254 = x_249 + mul_124
+        x_249 = mul_124 = None
+        x_255 = torch.conv2d(
+            x_254,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_256 = torch._C._nn.gelu(x_255, approximate="none")
+        x_255 = None
+        x_257 = torch.nn.functional.dropout(x_256, 0.0, False, False)
+        x_256 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_257 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_259 = torch.nn.functional.dropout(x_258, 0.0, False, False)
+        x_258 = None
+        x_260 = x_259.permute(0, 2, 3, 1)
+        x_259 = None
+        x_261 = torch.nn.functional.layer_norm(
+            x_260,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_260 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = (None)
+        x_262 = x_261.permute(0, 3, 1, 2)
+        x_261 = None
+        gamma_35 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_125 = x_262 * gamma_35
+        x_262 = gamma_35 = None
+        x_263 = x_254 + mul_125
+        x_254 = mul_125 = None
+        x_264 = torch.conv2d(
+            x_263,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_18 = torch.functional.split(x_264, [1024, 1024, 4], 1)
+        x_264 = None
+        q_18 = split_18[0]
+        ctx_18 = split_18[1]
+        gates_18 = split_18[2]
+        split_18 = None
+        input_109 = torch.conv2d(
+            ctx_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_18 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_110 = torch._C._nn.gelu(input_109, approximate="none")
+        input_109 = None
+        getitem_129 = gates_18[(slice(None, None, None), slice(0, 1, None))]
+        mul_126 = input_110 * getitem_129
+        getitem_129 = None
+        ctx_all_72 = 0 + mul_126
+        mul_126 = None
+        input_111 = torch.conv2d(
+            input_110,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_110 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_112 = torch._C._nn.gelu(input_111, approximate="none")
+        input_111 = None
+        getitem_130 = gates_18[(slice(None, None, None), slice(1, 2, None))]
+        mul_127 = input_112 * getitem_130
+        getitem_130 = None
+        ctx_all_73 = ctx_all_72 + mul_127
+        ctx_all_72 = mul_127 = None
+        input_113 = torch.conv2d(
+            input_112,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_112 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_114 = torch._C._nn.gelu(input_113, approximate="none")
+        input_113 = None
+        getitem_131 = gates_18[(slice(None, None, None), slice(2, 3, None))]
+        mul_128 = input_114 * getitem_131
+        getitem_131 = None
+        ctx_all_74 = ctx_all_73 + mul_128
+        ctx_all_73 = mul_128 = None
+        mean_18 = input_114.mean((2, 3), keepdim=True)
+        input_114 = None
+        ctx_global_18 = torch._C._nn.gelu(mean_18, approximate="none")
+        mean_18 = None
+        getitem_132 = gates_18[(slice(None, None, None), slice(3, None, None))]
+        gates_18 = None
+        mul_129 = ctx_global_18 * getitem_132
+        ctx_global_18 = getitem_132 = None
+        ctx_all_75 = ctx_all_74 + mul_129
+        ctx_all_74 = mul_129 = None
+        conv2d_151 = torch.conv2d(
+            ctx_all_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_75 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_54 = q_18 * conv2d_151
+        q_18 = conv2d_151 = None
+        x_out_55 = torch.conv2d(
+            x_out_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_54 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_56 = torch.nn.functional.dropout(x_out_55, 0.0, False, False)
+        x_out_55 = None
+        x_265 = x_out_56.permute(0, 2, 3, 1)
+        x_out_56 = None
+        x_266 = torch.nn.functional.layer_norm(
+            x_265,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_265 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = (None)
+        x_267 = x_266.permute(0, 3, 1, 2)
+        x_266 = None
+        gamma_36 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_131 = x_267 * gamma_36
+        x_267 = gamma_36 = None
+        x_268 = x_263 + mul_131
+        x_263 = mul_131 = None
+        x_269 = torch.conv2d(
+            x_268,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_270 = torch._C._nn.gelu(x_269, approximate="none")
+        x_269 = None
+        x_271 = torch.nn.functional.dropout(x_270, 0.0, False, False)
+        x_270 = None
+        x_272 = torch.conv2d(
+            x_271,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_271 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_273 = torch.nn.functional.dropout(x_272, 0.0, False, False)
+        x_272 = None
+        x_274 = x_273.permute(0, 2, 3, 1)
+        x_273 = None
+        x_275 = torch.nn.functional.layer_norm(
+            x_274,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_274 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = (None)
+        x_276 = x_275.permute(0, 3, 1, 2)
+        x_275 = None
+        gamma_37 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_132 = x_276 * gamma_37
+        x_276 = gamma_37 = None
+        x_277 = x_268 + mul_132
+        x_268 = mul_132 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_19 = torch.functional.split(x_278, [1024, 1024, 4], 1)
+        x_278 = None
+        q_19 = split_19[0]
+        ctx_19 = split_19[1]
+        gates_19 = split_19[2]
+        split_19 = None
+        input_115 = torch.conv2d(
+            ctx_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_19 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_116 = torch._C._nn.gelu(input_115, approximate="none")
+        input_115 = None
+        getitem_136 = gates_19[(slice(None, None, None), slice(0, 1, None))]
+        mul_133 = input_116 * getitem_136
+        getitem_136 = None
+        ctx_all_76 = 0 + mul_133
+        mul_133 = None
+        input_117 = torch.conv2d(
+            input_116,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_116 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_118 = torch._C._nn.gelu(input_117, approximate="none")
+        input_117 = None
+        getitem_137 = gates_19[(slice(None, None, None), slice(1, 2, None))]
+        mul_134 = input_118 * getitem_137
+        getitem_137 = None
+        ctx_all_77 = ctx_all_76 + mul_134
+        ctx_all_76 = mul_134 = None
+        input_119 = torch.conv2d(
+            input_118,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_118 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_120 = torch._C._nn.gelu(input_119, approximate="none")
+        input_119 = None
+        getitem_138 = gates_19[(slice(None, None, None), slice(2, 3, None))]
+        mul_135 = input_120 * getitem_138
+        getitem_138 = None
+        ctx_all_78 = ctx_all_77 + mul_135
+        ctx_all_77 = mul_135 = None
+        mean_19 = input_120.mean((2, 3), keepdim=True)
+        input_120 = None
+        ctx_global_19 = torch._C._nn.gelu(mean_19, approximate="none")
+        mean_19 = None
+        getitem_139 = gates_19[(slice(None, None, None), slice(3, None, None))]
+        gates_19 = None
+        mul_136 = ctx_global_19 * getitem_139
+        ctx_global_19 = getitem_139 = None
+        ctx_all_79 = ctx_all_78 + mul_136
+        ctx_all_78 = mul_136 = None
+        conv2d_159 = torch.conv2d(
+            ctx_all_79,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_79 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_57 = q_19 * conv2d_159
+        q_19 = conv2d_159 = None
+        x_out_58 = torch.conv2d(
+            x_out_57,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_57 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_59 = torch.nn.functional.dropout(x_out_58, 0.0, False, False)
+        x_out_58 = None
+        x_279 = x_out_59.permute(0, 2, 3, 1)
+        x_out_59 = None
+        x_280 = torch.nn.functional.layer_norm(
+            x_279,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_279 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = (None)
+        x_281 = x_280.permute(0, 3, 1, 2)
+        x_280 = None
+        gamma_38 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_138 = x_281 * gamma_38
+        x_281 = gamma_38 = None
+        x_282 = x_277 + mul_138
+        x_277 = mul_138 = None
+        x_283 = torch.conv2d(
+            x_282,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_284 = torch._C._nn.gelu(x_283, approximate="none")
+        x_283 = None
+        x_285 = torch.nn.functional.dropout(x_284, 0.0, False, False)
+        x_284 = None
+        x_286 = torch.conv2d(
+            x_285,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_285 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_287 = torch.nn.functional.dropout(x_286, 0.0, False, False)
+        x_286 = None
+        x_288 = x_287.permute(0, 2, 3, 1)
+        x_287 = None
+        x_289 = torch.nn.functional.layer_norm(
+            x_288,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_288 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = (None)
+        x_290 = x_289.permute(0, 3, 1, 2)
+        x_289 = None
+        gamma_39 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_139 = x_290 * gamma_39
+        x_290 = gamma_39 = None
+        x_291 = x_282 + mul_139
+        x_282 = mul_139 = None
+        x_292 = torch.conv2d(
+            x_291,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_20 = torch.functional.split(x_292, [1024, 1024, 4], 1)
+        x_292 = None
+        q_20 = split_20[0]
+        ctx_20 = split_20[1]
+        gates_20 = split_20[2]
+        split_20 = None
+        input_121 = torch.conv2d(
+            ctx_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_20 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_122 = torch._C._nn.gelu(input_121, approximate="none")
+        input_121 = None
+        getitem_143 = gates_20[(slice(None, None, None), slice(0, 1, None))]
+        mul_140 = input_122 * getitem_143
+        getitem_143 = None
+        ctx_all_80 = 0 + mul_140
+        mul_140 = None
+        input_123 = torch.conv2d(
+            input_122,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_122 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_124 = torch._C._nn.gelu(input_123, approximate="none")
+        input_123 = None
+        getitem_144 = gates_20[(slice(None, None, None), slice(1, 2, None))]
+        mul_141 = input_124 * getitem_144
+        getitem_144 = None
+        ctx_all_81 = ctx_all_80 + mul_141
+        ctx_all_80 = mul_141 = None
+        input_125 = torch.conv2d(
+            input_124,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_124 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_126 = torch._C._nn.gelu(input_125, approximate="none")
+        input_125 = None
+        getitem_145 = gates_20[(slice(None, None, None), slice(2, 3, None))]
+        mul_142 = input_126 * getitem_145
+        getitem_145 = None
+        ctx_all_82 = ctx_all_81 + mul_142
+        ctx_all_81 = mul_142 = None
+        mean_20 = input_126.mean((2, 3), keepdim=True)
+        input_126 = None
+        ctx_global_20 = torch._C._nn.gelu(mean_20, approximate="none")
+        mean_20 = None
+        getitem_146 = gates_20[(slice(None, None, None), slice(3, None, None))]
+        gates_20 = None
+        mul_143 = ctx_global_20 * getitem_146
+        ctx_global_20 = getitem_146 = None
+        ctx_all_83 = ctx_all_82 + mul_143
+        ctx_all_82 = mul_143 = None
+        conv2d_167 = torch.conv2d(
+            ctx_all_83,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_83 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_60 = q_20 * conv2d_167
+        q_20 = conv2d_167 = None
+        x_out_61 = torch.conv2d(
+            x_out_60,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_60 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_62 = torch.nn.functional.dropout(x_out_61, 0.0, False, False)
+        x_out_61 = None
+        x_293 = x_out_62.permute(0, 2, 3, 1)
+        x_out_62 = None
+        x_294 = torch.nn.functional.layer_norm(
+            x_293,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_293 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = (None)
+        x_295 = x_294.permute(0, 3, 1, 2)
+        x_294 = None
+        gamma_40 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_145 = x_295 * gamma_40
+        x_295 = gamma_40 = None
+        x_296 = x_291 + mul_145
+        x_291 = mul_145 = None
+        x_297 = torch.conv2d(
+            x_296,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_298 = torch._C._nn.gelu(x_297, approximate="none")
+        x_297 = None
+        x_299 = torch.nn.functional.dropout(x_298, 0.0, False, False)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_299 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_301 = torch.nn.functional.dropout(x_300, 0.0, False, False)
+        x_300 = None
+        x_302 = x_301.permute(0, 2, 3, 1)
+        x_301 = None
+        x_303 = torch.nn.functional.layer_norm(
+            x_302,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_302 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = (None)
+        x_304 = x_303.permute(0, 3, 1, 2)
+        x_303 = None
+        gamma_41 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_146 = x_304 * gamma_41
+        x_304 = gamma_41 = None
+        x_305 = x_296 + mul_146
+        x_296 = mul_146 = None
+        x_306 = torch.conv2d(
+            x_305,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_21 = torch.functional.split(x_306, [1024, 1024, 4], 1)
+        x_306 = None
+        q_21 = split_21[0]
+        ctx_21 = split_21[1]
+        gates_21 = split_21[2]
+        split_21 = None
+        input_127 = torch.conv2d(
+            ctx_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        ctx_21 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_128 = torch._C._nn.gelu(input_127, approximate="none")
+        input_127 = None
+        getitem_150 = gates_21[(slice(None, None, None), slice(0, 1, None))]
+        mul_147 = input_128 * getitem_150
+        getitem_150 = None
+        ctx_all_84 = 0 + mul_147
+        mul_147 = None
+        input_129 = torch.conv2d(
+            input_128,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_128 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_130 = torch._C._nn.gelu(input_129, approximate="none")
+        input_129 = None
+        getitem_151 = gates_21[(slice(None, None, None), slice(1, 2, None))]
+        mul_148 = input_130 * getitem_151
+        getitem_151 = None
+        ctx_all_85 = ctx_all_84 + mul_148
+        ctx_all_84 = mul_148 = None
+        input_131 = torch.conv2d(
+            input_130,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_130 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_132 = torch._C._nn.gelu(input_131, approximate="none")
+        input_131 = None
+        getitem_152 = gates_21[(slice(None, None, None), slice(2, 3, None))]
+        mul_149 = input_132 * getitem_152
+        getitem_152 = None
+        ctx_all_86 = ctx_all_85 + mul_149
+        ctx_all_85 = mul_149 = None
+        mean_21 = input_132.mean((2, 3), keepdim=True)
+        input_132 = None
+        ctx_global_21 = torch._C._nn.gelu(mean_21, approximate="none")
+        mean_21 = None
+        getitem_153 = gates_21[(slice(None, None, None), slice(3, None, None))]
+        gates_21 = None
+        mul_150 = ctx_global_21 * getitem_153
+        ctx_global_21 = getitem_153 = None
+        ctx_all_87 = ctx_all_86 + mul_150
+        ctx_all_86 = mul_150 = None
+        conv2d_175 = torch.conv2d(
+            ctx_all_87,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_87 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_63 = q_21 * conv2d_175
+        q_21 = conv2d_175 = None
+        x_out_64 = torch.conv2d(
+            x_out_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_63 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_65 = torch.nn.functional.dropout(x_out_64, 0.0, False, False)
+        x_out_64 = None
+        x_307 = x_out_65.permute(0, 2, 3, 1)
+        x_out_65 = None
+        x_308 = torch.nn.functional.layer_norm(
+            x_307,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_307 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = (None)
+        x_309 = x_308.permute(0, 3, 1, 2)
+        x_308 = None
+        gamma_42 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_152 = x_309 * gamma_42
+        x_309 = gamma_42 = None
+        x_310 = x_305 + mul_152
+        x_305 = mul_152 = None
+        x_311 = torch.conv2d(
+            x_310,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_312 = torch._C._nn.gelu(x_311, approximate="none")
+        x_311 = None
+        x_313 = torch.nn.functional.dropout(x_312, 0.0, False, False)
+        x_312 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_315 = torch.nn.functional.dropout(x_314, 0.0, False, False)
+        x_314 = None
+        x_316 = x_315.permute(0, 2, 3, 1)
+        x_315 = None
+        x_317 = torch.nn.functional.layer_norm(
+            x_316,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_316 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = (None)
+        x_318 = x_317.permute(0, 3, 1, 2)
+        x_317 = None
+        gamma_43 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_153 = x_318 * gamma_43
+        x_318 = gamma_43 = None
+        x_319 = x_310 + mul_153
+        x_310 = mul_153 = None
+        x_320 = torch.conv2d(
+            x_319,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_319 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_321 = x_320.permute(0, 2, 3, 1)
+        x_320 = None
+        x_322 = torch.nn.functional.layer_norm(
+            x_321,
+            (2048,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_321 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_323 = x_322.permute(0, 3, 1, 2)
+        x_322 = None
+        x_324 = torch.conv2d(
+            x_323,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_22 = torch.functional.split(x_324, [2048, 2048, 4], 1)
+        x_324 = None
+        q_22 = split_22[0]
+        ctx_22 = split_22[1]
+        gates_22 = split_22[2]
+        split_22 = None
+        input_133 = torch.conv2d(
+            ctx_22,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2048,
+        )
+        ctx_22 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_134 = torch._C._nn.gelu(input_133, approximate="none")
+        input_133 = None
+        getitem_157 = gates_22[(slice(None, None, None), slice(0, 1, None))]
+        mul_154 = input_134 * getitem_157
+        getitem_157 = None
+        ctx_all_88 = 0 + mul_154
+        mul_154 = None
+        input_135 = torch.conv2d(
+            input_134,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            2048,
+        )
+        input_134 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_136 = torch._C._nn.gelu(input_135, approximate="none")
+        input_135 = None
+        getitem_158 = gates_22[(slice(None, None, None), slice(1, 2, None))]
+        mul_155 = input_136 * getitem_158
+        getitem_158 = None
+        ctx_all_89 = ctx_all_88 + mul_155
+        ctx_all_88 = mul_155 = None
+        input_137 = torch.conv2d(
+            input_136,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            2048,
+        )
+        input_136 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_138 = torch._C._nn.gelu(input_137, approximate="none")
+        input_137 = None
+        getitem_159 = gates_22[(slice(None, None, None), slice(2, 3, None))]
+        mul_156 = input_138 * getitem_159
+        getitem_159 = None
+        ctx_all_90 = ctx_all_89 + mul_156
+        ctx_all_89 = mul_156 = None
+        mean_22 = input_138.mean((2, 3), keepdim=True)
+        input_138 = None
+        ctx_global_22 = torch._C._nn.gelu(mean_22, approximate="none")
+        mean_22 = None
+        getitem_160 = gates_22[(slice(None, None, None), slice(3, None, None))]
+        gates_22 = None
+        mul_157 = ctx_global_22 * getitem_160
+        ctx_global_22 = getitem_160 = None
+        ctx_all_91 = ctx_all_90 + mul_157
+        ctx_all_90 = mul_157 = None
+        conv2d_184 = torch.conv2d(
+            ctx_all_91,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_91 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_66 = q_22 * conv2d_184
+        q_22 = conv2d_184 = None
+        x_out_67 = torch.conv2d(
+            x_out_66,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_66 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_68 = torch.nn.functional.dropout(x_out_67, 0.0, False, False)
+        x_out_67 = None
+        x_325 = x_out_68.permute(0, 2, 3, 1)
+        x_out_68 = None
+        x_326 = torch.nn.functional.layer_norm(
+            x_325,
+            (2048,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_325 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_327 = x_326.permute(0, 3, 1, 2)
+        x_326 = None
+        gamma_44 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_159 = x_327 * gamma_44
+        x_327 = gamma_44 = None
+        x_328 = x_323 + mul_159
+        x_323 = mul_159 = None
+        x_329 = torch.conv2d(
+            x_328,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_330 = torch._C._nn.gelu(x_329, approximate="none")
+        x_329 = None
+        x_331 = torch.nn.functional.dropout(x_330, 0.0, False, False)
+        x_330 = None
+        x_332 = torch.conv2d(
+            x_331,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_331 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_333 = torch.nn.functional.dropout(x_332, 0.0, False, False)
+        x_332 = None
+        x_334 = x_333.permute(0, 2, 3, 1)
+        x_333 = None
+        x_335 = torch.nn.functional.layer_norm(
+            x_334,
+            (2048,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_334 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_336 = x_335.permute(0, 3, 1, 2)
+        x_335 = None
+        gamma_45 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_160 = x_336 * gamma_45
+        x_336 = gamma_45 = None
+        x_337 = x_328 + mul_160
+        x_328 = mul_160 = None
+        x_338 = torch.conv2d(
+            x_337,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_23 = torch.functional.split(x_338, [2048, 2048, 4], 1)
+        x_338 = None
+        q_23 = split_23[0]
+        ctx_23 = split_23[1]
+        gates_23 = split_23[2]
+        split_23 = None
+        input_139 = torch.conv2d(
+            ctx_23,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2048,
+        )
+        ctx_23 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_140 = torch._C._nn.gelu(input_139, approximate="none")
+        input_139 = None
+        getitem_164 = gates_23[(slice(None, None, None), slice(0, 1, None))]
+        mul_161 = input_140 * getitem_164
+        getitem_164 = None
+        ctx_all_92 = 0 + mul_161
+        mul_161 = None
+        input_141 = torch.conv2d(
+            input_140,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            2048,
+        )
+        input_140 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_142 = torch._C._nn.gelu(input_141, approximate="none")
+        input_141 = None
+        getitem_165 = gates_23[(slice(None, None, None), slice(1, 2, None))]
+        mul_162 = input_142 * getitem_165
+        getitem_165 = None
+        ctx_all_93 = ctx_all_92 + mul_162
+        ctx_all_92 = mul_162 = None
+        input_143 = torch.conv2d(
+            input_142,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            2048,
+        )
+        input_142 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_144 = torch._C._nn.gelu(input_143, approximate="none")
+        input_143 = None
+        getitem_166 = gates_23[(slice(None, None, None), slice(2, 3, None))]
+        mul_163 = input_144 * getitem_166
+        getitem_166 = None
+        ctx_all_94 = ctx_all_93 + mul_163
+        ctx_all_93 = mul_163 = None
+        mean_23 = input_144.mean((2, 3), keepdim=True)
+        input_144 = None
+        ctx_global_23 = torch._C._nn.gelu(mean_23, approximate="none")
+        mean_23 = None
+        getitem_167 = gates_23[(slice(None, None, None), slice(3, None, None))]
+        gates_23 = None
+        mul_164 = ctx_global_23 * getitem_167
+        ctx_global_23 = getitem_167 = None
+        ctx_all_95 = ctx_all_94 + mul_164
+        ctx_all_94 = mul_164 = None
+        conv2d_192 = torch.conv2d(
+            ctx_all_95,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_95 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_69 = q_23 * conv2d_192
+        q_23 = conv2d_192 = None
+        x_out_70 = torch.conv2d(
+            x_out_69,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_69 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_71 = torch.nn.functional.dropout(x_out_70, 0.0, False, False)
+        x_out_70 = None
+        x_339 = x_out_71.permute(0, 2, 3, 1)
+        x_out_71 = None
+        x_340 = torch.nn.functional.layer_norm(
+            x_339,
+            (2048,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_339 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_341 = x_340.permute(0, 3, 1, 2)
+        x_340 = None
+        gamma_46 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_166 = x_341 * gamma_46
+        x_341 = gamma_46 = None
+        x_342 = x_337 + mul_166
+        x_337 = mul_166 = None
+        x_343 = torch.conv2d(
+            x_342,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_344 = torch._C._nn.gelu(x_343, approximate="none")
+        x_343 = None
+        x_345 = torch.nn.functional.dropout(x_344, 0.0, False, False)
+        x_344 = None
+        x_346 = torch.conv2d(
+            x_345,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_345 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_347 = torch.nn.functional.dropout(x_346, 0.0, False, False)
+        x_346 = None
+        x_348 = x_347.permute(0, 2, 3, 1)
+        x_347 = None
+        x_349 = torch.nn.functional.layer_norm(
+            x_348,
+            (2048,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_348 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_350 = x_349.permute(0, 3, 1, 2)
+        x_349 = None
+        gamma_47 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_167 = x_350 * gamma_47
+        x_350 = gamma_47 = None
+        x_351 = x_342 + mul_167
+        x_342 = mul_167 = None
+        x_352 = x_351.permute(0, 2, 3, 1)
+        x_351 = None
+        x_353 = torch.nn.functional.layer_norm(
+            x_352,
+            (2048,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_352 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_354 = x_353.permute(0, 3, 1, 2)
+        x_353 = None
+        x_355 = torch.nn.functional.adaptive_avg_pool2d(x_354, 1)
+        x_354 = None
+        x_356 = x_355.flatten(1, -1)
+        x_355 = None
+        x_357 = torch.nn.functional.dropout(x_356, 0.0, False, False)
+        x_356 = None
+        x_358 = torch._C._nn.linear(
+            x_357,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_357 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_358,)
diff --git a/samples/timm/focalnet_xlarge_fl3.ms_in22k/weight_meta.py b/samples/timm/focalnet_xlarge_fl3.ms_in22k/weight_meta.py
new file mode 100644
index 000000000..04769e7a2
--- /dev/null
+++ b/samples/timm/focalnet_xlarge_fl3.ms_in22k/weight_meta.py
@@ -0,0 +1,4778 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [256, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [516, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [516]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [256, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [516, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [516]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [256, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [512, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1028, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1028]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [1024, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_"
+    shape = [2052, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_"
+    shape = [2052]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [2048, 1024, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [4100, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [4100]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [2048, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [2048, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [2048, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [2048, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [2048, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [8192, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [8192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [2048, 8192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [4100, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [4100]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [2048, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [2048, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [2048, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [2048, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [2048, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [8192, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [8192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [2048, 8192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [21842, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [21842]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/focalnet_xlarge_fl4.ms_in22k/graph_hash.txt b/samples/timm/focalnet_xlarge_fl4.ms_in22k/graph_hash.txt
new file mode 100644
index 000000000..c93683d8b
--- /dev/null
+++ b/samples/timm/focalnet_xlarge_fl4.ms_in22k/graph_hash.txt
@@ -0,0 +1 @@
+aa66b20f1f49371002c41a789a40241efc562b3b6e8725e750b6f562577c1691
\ No newline at end of file
diff --git a/samples/timm/focalnet_xlarge_fl4.ms_in22k/graph_net.json b/samples/timm/focalnet_xlarge_fl4.ms_in22k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/focalnet_xlarge_fl4.ms_in22k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/focalnet_xlarge_fl4.ms_in22k/input_meta.py b/samples/timm/focalnet_xlarge_fl4.ms_in22k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_xlarge_fl4.ms_in22k/input_tensor_constraints.py b/samples/timm/focalnet_xlarge_fl4.ms_in22k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/focalnet_xlarge_fl4.ms_in22k/model.py b/samples/timm/focalnet_xlarge_fl4.ms_in22k/model.py
new file mode 100644
index 000000000..de384c9ca
--- /dev/null
+++ b/samples/timm/focalnet_xlarge_fl4.ms_in22k/model.py
@@ -0,0 +1,5655 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_norm_parameters_weight_ = (
+            L_self_modules_stem_modules_norm_parameters_weight_
+        )
+        l_self_modules_stem_modules_norm_parameters_bias_ = (
+            L_self_modules_stem_modules_norm_parameters_bias_
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_
+        l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (4, 4),
+            (2, 2),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        x_1 = x.permute(0, 2, 3, 1)
+        x = None
+        x_2 = torch.nn.functional.layer_norm(
+            x_1,
+            (256,),
+            l_self_modules_stem_modules_norm_parameters_weight_,
+            l_self_modules_stem_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_1 = (
+            l_self_modules_stem_modules_norm_parameters_weight_
+        ) = l_self_modules_stem_modules_norm_parameters_bias_ = None
+        x_3 = x_2.permute(0, 3, 1, 2)
+        x_2 = None
+        x_4 = torch.conv2d(
+            x_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split = torch.functional.split(x_4, [256, 256, 5], 1)
+        x_4 = None
+        q = split[0]
+        ctx = split[1]
+        gates = split[2]
+        split = None
+        input_1 = torch.conv2d(
+            ctx,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        ctx = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_2 = torch._C._nn.gelu(input_1, approximate="none")
+        input_1 = None
+        getitem_3 = gates[(slice(None, None, None), slice(0, 1, None))]
+        mul = input_2 * getitem_3
+        getitem_3 = None
+        ctx_all = 0 + mul
+        mul = None
+        input_3 = torch.conv2d(
+            input_2,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        input_2 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_4 = torch._C._nn.gelu(input_3, approximate="none")
+        input_3 = None
+        getitem_4 = gates[(slice(None, None, None), slice(1, 2, None))]
+        mul_1 = input_4 * getitem_4
+        getitem_4 = None
+        ctx_all_1 = ctx_all + mul_1
+        ctx_all = mul_1 = None
+        input_5 = torch.conv2d(
+            input_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        input_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_6 = torch._C._nn.gelu(input_5, approximate="none")
+        input_5 = None
+        getitem_5 = gates[(slice(None, None, None), slice(2, 3, None))]
+        mul_2 = input_6 * getitem_5
+        getitem_5 = None
+        ctx_all_2 = ctx_all_1 + mul_2
+        ctx_all_1 = mul_2 = None
+        input_7 = torch.conv2d(
+            input_6,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            256,
+        )
+        input_6 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_8 = torch._C._nn.gelu(input_7, approximate="none")
+        input_7 = None
+        getitem_6 = gates[(slice(None, None, None), slice(3, 4, None))]
+        mul_3 = input_8 * getitem_6
+        getitem_6 = None
+        ctx_all_3 = ctx_all_2 + mul_3
+        ctx_all_2 = mul_3 = None
+        mean = input_8.mean((2, 3), keepdim=True)
+        input_8 = None
+        ctx_global = torch._C._nn.gelu(mean, approximate="none")
+        mean = None
+        getitem_7 = gates[(slice(None, None, None), slice(4, None, None))]
+        gates = None
+        mul_4 = ctx_global * getitem_7
+        ctx_global = getitem_7 = None
+        ctx_all_4 = ctx_all_3 + mul_4
+        ctx_all_3 = mul_4 = None
+        conv2d_6 = torch.conv2d(
+            ctx_all_4,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_4 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out = q * conv2d_6
+        q = conv2d_6 = None
+        x_out_1 = torch.conv2d(
+            x_out,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_2 = torch.nn.functional.dropout(x_out_1, 0.0, False, False)
+        x_out_1 = None
+        x_5 = x_out_2.permute(0, 2, 3, 1)
+        x_out_2 = None
+        x_6 = torch.nn.functional.layer_norm(
+            x_5,
+            (256,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_5 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_7 = x_6.permute(0, 3, 1, 2)
+        x_6 = None
+        gamma = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_6 = x_7 * gamma
+        x_7 = gamma = None
+        x_8 = x_3 + mul_6
+        x_3 = mul_6 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_10 = torch._C._nn.gelu(x_9, approximate="none")
+        x_9 = None
+        x_11 = torch.nn.functional.dropout(x_10, 0.0, False, False)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_13 = torch.nn.functional.dropout(x_12, 0.0, False, False)
+        x_12 = None
+        x_14 = x_13.permute(0, 2, 3, 1)
+        x_13 = None
+        x_15 = torch.nn.functional.layer_norm(
+            x_14,
+            (256,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_14 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_16 = x_15.permute(0, 3, 1, 2)
+        x_15 = None
+        gamma_1 = l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_7 = x_16 * gamma_1
+        x_16 = gamma_1 = None
+        x_17 = x_8 + mul_7
+        x_8 = mul_7 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_1 = torch.functional.split(x_18, [256, 256, 5], 1)
+        x_18 = None
+        q_1 = split_1[0]
+        ctx_1 = split_1[1]
+        gates_1 = split_1[2]
+        split_1 = None
+        input_9 = torch.conv2d(
+            ctx_1,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        ctx_1 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_10 = torch._C._nn.gelu(input_9, approximate="none")
+        input_9 = None
+        getitem_11 = gates_1[(slice(None, None, None), slice(0, 1, None))]
+        mul_8 = input_10 * getitem_11
+        getitem_11 = None
+        ctx_all_5 = 0 + mul_8
+        mul_8 = None
+        input_11 = torch.conv2d(
+            input_10,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        input_10 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_12 = torch._C._nn.gelu(input_11, approximate="none")
+        input_11 = None
+        getitem_12 = gates_1[(slice(None, None, None), slice(1, 2, None))]
+        mul_9 = input_12 * getitem_12
+        getitem_12 = None
+        ctx_all_6 = ctx_all_5 + mul_9
+        ctx_all_5 = mul_9 = None
+        input_13 = torch.conv2d(
+            input_12,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            256,
+        )
+        input_12 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_14 = torch._C._nn.gelu(input_13, approximate="none")
+        input_13 = None
+        getitem_13 = gates_1[(slice(None, None, None), slice(2, 3, None))]
+        mul_10 = input_14 * getitem_13
+        getitem_13 = None
+        ctx_all_7 = ctx_all_6 + mul_10
+        ctx_all_6 = mul_10 = None
+        input_15 = torch.conv2d(
+            input_14,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            256,
+        )
+        input_14 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_16 = torch._C._nn.gelu(input_15, approximate="none")
+        input_15 = None
+        getitem_14 = gates_1[(slice(None, None, None), slice(3, 4, None))]
+        mul_11 = input_16 * getitem_14
+        getitem_14 = None
+        ctx_all_8 = ctx_all_7 + mul_11
+        ctx_all_7 = mul_11 = None
+        mean_1 = input_16.mean((2, 3), keepdim=True)
+        input_16 = None
+        ctx_global_1 = torch._C._nn.gelu(mean_1, approximate="none")
+        mean_1 = None
+        getitem_15 = gates_1[(slice(None, None, None), slice(4, None, None))]
+        gates_1 = None
+        mul_12 = ctx_global_1 * getitem_15
+        ctx_global_1 = getitem_15 = None
+        ctx_all_9 = ctx_all_8 + mul_12
+        ctx_all_8 = mul_12 = None
+        conv2d_15 = torch.conv2d(
+            ctx_all_9,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_9 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_3 = q_1 * conv2d_15
+        q_1 = conv2d_15 = None
+        x_out_4 = torch.conv2d(
+            x_out_3,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_5 = torch.nn.functional.dropout(x_out_4, 0.0, False, False)
+        x_out_4 = None
+        x_19 = x_out_5.permute(0, 2, 3, 1)
+        x_out_5 = None
+        x_20 = torch.nn.functional.layer_norm(
+            x_19,
+            (256,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_19 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_21 = x_20.permute(0, 3, 1, 2)
+        x_20 = None
+        gamma_2 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_14 = x_21 * gamma_2
+        x_21 = gamma_2 = None
+        x_22 = x_17 + mul_14
+        x_17 = mul_14 = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_24 = torch._C._nn.gelu(x_23, approximate="none")
+        x_23 = None
+        x_25 = torch.nn.functional.dropout(x_24, 0.0, False, False)
+        x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_27 = torch.nn.functional.dropout(x_26, 0.0, False, False)
+        x_26 = None
+        x_28 = x_27.permute(0, 2, 3, 1)
+        x_27 = None
+        x_29 = torch.nn.functional.layer_norm(
+            x_28,
+            (256,),
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_28 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_30 = x_29.permute(0, 3, 1, 2)
+        x_29 = None
+        gamma_3 = l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_15 = x_30 * gamma_3
+        x_30 = gamma_3 = None
+        x_31 = x_22 + mul_15
+        x_22 = mul_15 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_33 = x_32.permute(0, 2, 3, 1)
+        x_32 = None
+        x_34 = torch.nn.functional.layer_norm(
+            x_33,
+            (512,),
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_33 = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_35 = x_34.permute(0, 3, 1, 2)
+        x_34 = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_2 = torch.functional.split(x_36, [512, 512, 5], 1)
+        x_36 = None
+        q_2 = split_2[0]
+        ctx_2 = split_2[1]
+        gates_2 = split_2[2]
+        split_2 = None
+        input_17 = torch.conv2d(
+            ctx_2,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_2 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_18 = torch._C._nn.gelu(input_17, approximate="none")
+        input_17 = None
+        getitem_19 = gates_2[(slice(None, None, None), slice(0, 1, None))]
+        mul_16 = input_18 * getitem_19
+        getitem_19 = None
+        ctx_all_10 = 0 + mul_16
+        mul_16 = None
+        input_19 = torch.conv2d(
+            input_18,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_18 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_20 = torch._C._nn.gelu(input_19, approximate="none")
+        input_19 = None
+        getitem_20 = gates_2[(slice(None, None, None), slice(1, 2, None))]
+        mul_17 = input_20 * getitem_20
+        getitem_20 = None
+        ctx_all_11 = ctx_all_10 + mul_17
+        ctx_all_10 = mul_17 = None
+        input_21 = torch.conv2d(
+            input_20,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_20 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_22 = torch._C._nn.gelu(input_21, approximate="none")
+        input_21 = None
+        getitem_21 = gates_2[(slice(None, None, None), slice(2, 3, None))]
+        mul_18 = input_22 * getitem_21
+        getitem_21 = None
+        ctx_all_12 = ctx_all_11 + mul_18
+        ctx_all_11 = mul_18 = None
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            512,
+        )
+        input_22 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_24 = torch._C._nn.gelu(input_23, approximate="none")
+        input_23 = None
+        getitem_22 = gates_2[(slice(None, None, None), slice(3, 4, None))]
+        mul_19 = input_24 * getitem_22
+        getitem_22 = None
+        ctx_all_13 = ctx_all_12 + mul_19
+        ctx_all_12 = mul_19 = None
+        mean_2 = input_24.mean((2, 3), keepdim=True)
+        input_24 = None
+        ctx_global_2 = torch._C._nn.gelu(mean_2, approximate="none")
+        mean_2 = None
+        getitem_23 = gates_2[(slice(None, None, None), slice(4, None, None))]
+        gates_2 = None
+        mul_20 = ctx_global_2 * getitem_23
+        ctx_global_2 = getitem_23 = None
+        ctx_all_14 = ctx_all_13 + mul_20
+        ctx_all_13 = mul_20 = None
+        conv2d_25 = torch.conv2d(
+            ctx_all_14,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_14 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_6 = q_2 * conv2d_25
+        q_2 = conv2d_25 = None
+        x_out_7 = torch.conv2d(
+            x_out_6,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_6 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_8 = torch.nn.functional.dropout(x_out_7, 0.0, False, False)
+        x_out_7 = None
+        x_37 = x_out_8.permute(0, 2, 3, 1)
+        x_out_8 = None
+        x_38 = torch.nn.functional.layer_norm(
+            x_37,
+            (512,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_37 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_39 = x_38.permute(0, 3, 1, 2)
+        x_38 = None
+        gamma_4 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_22 = x_39 * gamma_4
+        x_39 = gamma_4 = None
+        x_40 = x_35 + mul_22
+        x_35 = mul_22 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_42 = torch._C._nn.gelu(x_41, approximate="none")
+        x_41 = None
+        x_43 = torch.nn.functional.dropout(x_42, 0.0, False, False)
+        x_42 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_45 = torch.nn.functional.dropout(x_44, 0.0, False, False)
+        x_44 = None
+        x_46 = x_45.permute(0, 2, 3, 1)
+        x_45 = None
+        x_47 = torch.nn.functional.layer_norm(
+            x_46,
+            (512,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_46 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_48 = x_47.permute(0, 3, 1, 2)
+        x_47 = None
+        gamma_5 = l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_23 = x_48 * gamma_5
+        x_48 = gamma_5 = None
+        x_49 = x_40 + mul_23
+        x_40 = mul_23 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_3 = torch.functional.split(x_50, [512, 512, 5], 1)
+        x_50 = None
+        q_3 = split_3[0]
+        ctx_3 = split_3[1]
+        gates_3 = split_3[2]
+        split_3 = None
+        input_25 = torch.conv2d(
+            ctx_3,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        ctx_3 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_26 = torch._C._nn.gelu(input_25, approximate="none")
+        input_25 = None
+        getitem_27 = gates_3[(slice(None, None, None), slice(0, 1, None))]
+        mul_24 = input_26 * getitem_27
+        getitem_27 = None
+        ctx_all_15 = 0 + mul_24
+        mul_24 = None
+        input_27 = torch.conv2d(
+            input_26,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            512,
+        )
+        input_26 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_28 = torch._C._nn.gelu(input_27, approximate="none")
+        input_27 = None
+        getitem_28 = gates_3[(slice(None, None, None), slice(1, 2, None))]
+        mul_25 = input_28 * getitem_28
+        getitem_28 = None
+        ctx_all_16 = ctx_all_15 + mul_25
+        ctx_all_15 = mul_25 = None
+        input_29 = torch.conv2d(
+            input_28,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            512,
+        )
+        input_28 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_30 = torch._C._nn.gelu(input_29, approximate="none")
+        input_29 = None
+        getitem_29 = gates_3[(slice(None, None, None), slice(2, 3, None))]
+        mul_26 = input_30 * getitem_29
+        getitem_29 = None
+        ctx_all_17 = ctx_all_16 + mul_26
+        ctx_all_16 = mul_26 = None
+        input_31 = torch.conv2d(
+            input_30,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            512,
+        )
+        input_30 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_32 = torch._C._nn.gelu(input_31, approximate="none")
+        input_31 = None
+        getitem_30 = gates_3[(slice(None, None, None), slice(3, 4, None))]
+        mul_27 = input_32 * getitem_30
+        getitem_30 = None
+        ctx_all_18 = ctx_all_17 + mul_27
+        ctx_all_17 = mul_27 = None
+        mean_3 = input_32.mean((2, 3), keepdim=True)
+        input_32 = None
+        ctx_global_3 = torch._C._nn.gelu(mean_3, approximate="none")
+        mean_3 = None
+        getitem_31 = gates_3[(slice(None, None, None), slice(4, None, None))]
+        gates_3 = None
+        mul_28 = ctx_global_3 * getitem_31
+        ctx_global_3 = getitem_31 = None
+        ctx_all_19 = ctx_all_18 + mul_28
+        ctx_all_18 = mul_28 = None
+        conv2d_34 = torch.conv2d(
+            ctx_all_19,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_19 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_9 = q_3 * conv2d_34
+        q_3 = conv2d_34 = None
+        x_out_10 = torch.conv2d(
+            x_out_9,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_9 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_11 = torch.nn.functional.dropout(x_out_10, 0.0, False, False)
+        x_out_10 = None
+        x_51 = x_out_11.permute(0, 2, 3, 1)
+        x_out_11 = None
+        x_52 = torch.nn.functional.layer_norm(
+            x_51,
+            (512,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_51 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_53 = x_52.permute(0, 3, 1, 2)
+        x_52 = None
+        gamma_6 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_30 = x_53 * gamma_6
+        x_53 = gamma_6 = None
+        x_54 = x_49 + mul_30
+        x_49 = mul_30 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_56 = torch._C._nn.gelu(x_55, approximate="none")
+        x_55 = None
+        x_57 = torch.nn.functional.dropout(x_56, 0.0, False, False)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_59 = torch.nn.functional.dropout(x_58, 0.0, False, False)
+        x_58 = None
+        x_60 = x_59.permute(0, 2, 3, 1)
+        x_59 = None
+        x_61 = torch.nn.functional.layer_norm(
+            x_60,
+            (512,),
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_60 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_62 = x_61.permute(0, 3, 1, 2)
+        x_61 = None
+        gamma_7 = l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_31 = x_62 * gamma_7
+        x_62 = gamma_7 = None
+        x_63 = x_54 + mul_31
+        x_54 = mul_31 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_65 = x_64.permute(0, 2, 3, 1)
+        x_64 = None
+        x_66 = torch.nn.functional.layer_norm(
+            x_65,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_65 = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_67 = x_66.permute(0, 3, 1, 2)
+        x_66 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_4 = torch.functional.split(x_68, [1024, 1024, 5], 1)
+        x_68 = None
+        q_4 = split_4[0]
+        ctx_4 = split_4[1]
+        gates_4 = split_4[2]
+        split_4 = None
+        input_33 = torch.conv2d(
+            ctx_4,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_4 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_34 = torch._C._nn.gelu(input_33, approximate="none")
+        input_33 = None
+        getitem_35 = gates_4[(slice(None, None, None), slice(0, 1, None))]
+        mul_32 = input_34 * getitem_35
+        getitem_35 = None
+        ctx_all_20 = 0 + mul_32
+        mul_32 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_34 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_36 = torch._C._nn.gelu(input_35, approximate="none")
+        input_35 = None
+        getitem_36 = gates_4[(slice(None, None, None), slice(1, 2, None))]
+        mul_33 = input_36 * getitem_36
+        getitem_36 = None
+        ctx_all_21 = ctx_all_20 + mul_33
+        ctx_all_20 = mul_33 = None
+        input_37 = torch.conv2d(
+            input_36,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_36 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_38 = torch._C._nn.gelu(input_37, approximate="none")
+        input_37 = None
+        getitem_37 = gates_4[(slice(None, None, None), slice(2, 3, None))]
+        mul_34 = input_38 * getitem_37
+        getitem_37 = None
+        ctx_all_22 = ctx_all_21 + mul_34
+        ctx_all_21 = mul_34 = None
+        input_39 = torch.conv2d(
+            input_38,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_38 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_40 = torch._C._nn.gelu(input_39, approximate="none")
+        input_39 = None
+        getitem_38 = gates_4[(slice(None, None, None), slice(3, 4, None))]
+        mul_35 = input_40 * getitem_38
+        getitem_38 = None
+        ctx_all_23 = ctx_all_22 + mul_35
+        ctx_all_22 = mul_35 = None
+        mean_4 = input_40.mean((2, 3), keepdim=True)
+        input_40 = None
+        ctx_global_4 = torch._C._nn.gelu(mean_4, approximate="none")
+        mean_4 = None
+        getitem_39 = gates_4[(slice(None, None, None), slice(4, None, None))]
+        gates_4 = None
+        mul_36 = ctx_global_4 * getitem_39
+        ctx_global_4 = getitem_39 = None
+        ctx_all_24 = ctx_all_23 + mul_36
+        ctx_all_23 = mul_36 = None
+        conv2d_44 = torch.conv2d(
+            ctx_all_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_24 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_12 = q_4 * conv2d_44
+        q_4 = conv2d_44 = None
+        x_out_13 = torch.conv2d(
+            x_out_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_12 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_14 = torch.nn.functional.dropout(x_out_13, 0.0, False, False)
+        x_out_13 = None
+        x_69 = x_out_14.permute(0, 2, 3, 1)
+        x_out_14 = None
+        x_70 = torch.nn.functional.layer_norm(
+            x_69,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_69 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_71 = x_70.permute(0, 3, 1, 2)
+        x_70 = None
+        gamma_8 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_38 = x_71 * gamma_8
+        x_71 = gamma_8 = None
+        x_72 = x_67 + mul_38
+        x_67 = mul_38 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_74 = torch._C._nn.gelu(x_73, approximate="none")
+        x_73 = None
+        x_75 = torch.nn.functional.dropout(x_74, 0.0, False, False)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_77 = torch.nn.functional.dropout(x_76, 0.0, False, False)
+        x_76 = None
+        x_78 = x_77.permute(0, 2, 3, 1)
+        x_77 = None
+        x_79 = torch.nn.functional.layer_norm(
+            x_78,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_78 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_80 = x_79.permute(0, 3, 1, 2)
+        x_79 = None
+        gamma_9 = l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_39 = x_80 * gamma_9
+        x_80 = gamma_9 = None
+        x_81 = x_72 + mul_39
+        x_72 = mul_39 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_5 = torch.functional.split(x_82, [1024, 1024, 5], 1)
+        x_82 = None
+        q_5 = split_5[0]
+        ctx_5 = split_5[1]
+        gates_5 = split_5[2]
+        split_5 = None
+        input_41 = torch.conv2d(
+            ctx_5,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_5 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_42 = torch._C._nn.gelu(input_41, approximate="none")
+        input_41 = None
+        getitem_43 = gates_5[(slice(None, None, None), slice(0, 1, None))]
+        mul_40 = input_42 * getitem_43
+        getitem_43 = None
+        ctx_all_25 = 0 + mul_40
+        mul_40 = None
+        input_43 = torch.conv2d(
+            input_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_42 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_44 = torch._C._nn.gelu(input_43, approximate="none")
+        input_43 = None
+        getitem_44 = gates_5[(slice(None, None, None), slice(1, 2, None))]
+        mul_41 = input_44 * getitem_44
+        getitem_44 = None
+        ctx_all_26 = ctx_all_25 + mul_41
+        ctx_all_25 = mul_41 = None
+        input_45 = torch.conv2d(
+            input_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_44 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_46 = torch._C._nn.gelu(input_45, approximate="none")
+        input_45 = None
+        getitem_45 = gates_5[(slice(None, None, None), slice(2, 3, None))]
+        mul_42 = input_46 * getitem_45
+        getitem_45 = None
+        ctx_all_27 = ctx_all_26 + mul_42
+        ctx_all_26 = mul_42 = None
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_46 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_48 = torch._C._nn.gelu(input_47, approximate="none")
+        input_47 = None
+        getitem_46 = gates_5[(slice(None, None, None), slice(3, 4, None))]
+        mul_43 = input_48 * getitem_46
+        getitem_46 = None
+        ctx_all_28 = ctx_all_27 + mul_43
+        ctx_all_27 = mul_43 = None
+        mean_5 = input_48.mean((2, 3), keepdim=True)
+        input_48 = None
+        ctx_global_5 = torch._C._nn.gelu(mean_5, approximate="none")
+        mean_5 = None
+        getitem_47 = gates_5[(slice(None, None, None), slice(4, None, None))]
+        gates_5 = None
+        mul_44 = ctx_global_5 * getitem_47
+        ctx_global_5 = getitem_47 = None
+        ctx_all_29 = ctx_all_28 + mul_44
+        ctx_all_28 = mul_44 = None
+        conv2d_53 = torch.conv2d(
+            ctx_all_29,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_29 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_15 = q_5 * conv2d_53
+        q_5 = conv2d_53 = None
+        x_out_16 = torch.conv2d(
+            x_out_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_15 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_17 = torch.nn.functional.dropout(x_out_16, 0.0, False, False)
+        x_out_16 = None
+        x_83 = x_out_17.permute(0, 2, 3, 1)
+        x_out_17 = None
+        x_84 = torch.nn.functional.layer_norm(
+            x_83,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_83 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_85 = x_84.permute(0, 3, 1, 2)
+        x_84 = None
+        gamma_10 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_46 = x_85 * gamma_10
+        x_85 = gamma_10 = None
+        x_86 = x_81 + mul_46
+        x_81 = mul_46 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_88 = torch._C._nn.gelu(x_87, approximate="none")
+        x_87 = None
+        x_89 = torch.nn.functional.dropout(x_88, 0.0, False, False)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_91 = torch.nn.functional.dropout(x_90, 0.0, False, False)
+        x_90 = None
+        x_92 = x_91.permute(0, 2, 3, 1)
+        x_91 = None
+        x_93 = torch.nn.functional.layer_norm(
+            x_92,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_92 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_94 = x_93.permute(0, 3, 1, 2)
+        x_93 = None
+        gamma_11 = l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_47 = x_94 * gamma_11
+        x_94 = gamma_11 = None
+        x_95 = x_86 + mul_47
+        x_86 = mul_47 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_6 = torch.functional.split(x_96, [1024, 1024, 5], 1)
+        x_96 = None
+        q_6 = split_6[0]
+        ctx_6 = split_6[1]
+        gates_6 = split_6[2]
+        split_6 = None
+        input_49 = torch.conv2d(
+            ctx_6,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_6 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_50 = torch._C._nn.gelu(input_49, approximate="none")
+        input_49 = None
+        getitem_51 = gates_6[(slice(None, None, None), slice(0, 1, None))]
+        mul_48 = input_50 * getitem_51
+        getitem_51 = None
+        ctx_all_30 = 0 + mul_48
+        mul_48 = None
+        input_51 = torch.conv2d(
+            input_50,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_50 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_52 = torch._C._nn.gelu(input_51, approximate="none")
+        input_51 = None
+        getitem_52 = gates_6[(slice(None, None, None), slice(1, 2, None))]
+        mul_49 = input_52 * getitem_52
+        getitem_52 = None
+        ctx_all_31 = ctx_all_30 + mul_49
+        ctx_all_30 = mul_49 = None
+        input_53 = torch.conv2d(
+            input_52,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_52 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_54 = torch._C._nn.gelu(input_53, approximate="none")
+        input_53 = None
+        getitem_53 = gates_6[(slice(None, None, None), slice(2, 3, None))]
+        mul_50 = input_54 * getitem_53
+        getitem_53 = None
+        ctx_all_32 = ctx_all_31 + mul_50
+        ctx_all_31 = mul_50 = None
+        input_55 = torch.conv2d(
+            input_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_54 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_56 = torch._C._nn.gelu(input_55, approximate="none")
+        input_55 = None
+        getitem_54 = gates_6[(slice(None, None, None), slice(3, 4, None))]
+        mul_51 = input_56 * getitem_54
+        getitem_54 = None
+        ctx_all_33 = ctx_all_32 + mul_51
+        ctx_all_32 = mul_51 = None
+        mean_6 = input_56.mean((2, 3), keepdim=True)
+        input_56 = None
+        ctx_global_6 = torch._C._nn.gelu(mean_6, approximate="none")
+        mean_6 = None
+        getitem_55 = gates_6[(slice(None, None, None), slice(4, None, None))]
+        gates_6 = None
+        mul_52 = ctx_global_6 * getitem_55
+        ctx_global_6 = getitem_55 = None
+        ctx_all_34 = ctx_all_33 + mul_52
+        ctx_all_33 = mul_52 = None
+        conv2d_62 = torch.conv2d(
+            ctx_all_34,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_34 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_18 = q_6 * conv2d_62
+        q_6 = conv2d_62 = None
+        x_out_19 = torch.conv2d(
+            x_out_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_18 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_20 = torch.nn.functional.dropout(x_out_19, 0.0, False, False)
+        x_out_19 = None
+        x_97 = x_out_20.permute(0, 2, 3, 1)
+        x_out_20 = None
+        x_98 = torch.nn.functional.layer_norm(
+            x_97,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_97 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_ = (None)
+        x_99 = x_98.permute(0, 3, 1, 2)
+        x_98 = None
+        gamma_12 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_54 = x_99 * gamma_12
+        x_99 = gamma_12 = None
+        x_100 = x_95 + mul_54
+        x_95 = mul_54 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_102 = torch._C._nn.gelu(x_101, approximate="none")
+        x_101 = None
+        x_103 = torch.nn.functional.dropout(x_102, 0.0, False, False)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_105 = torch.nn.functional.dropout(x_104, 0.0, False, False)
+        x_104 = None
+        x_106 = x_105.permute(0, 2, 3, 1)
+        x_105 = None
+        x_107 = torch.nn.functional.layer_norm(
+            x_106,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_106 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_ = (None)
+        x_108 = x_107.permute(0, 3, 1, 2)
+        x_107 = None
+        gamma_13 = l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_55 = x_108 * gamma_13
+        x_108 = gamma_13 = None
+        x_109 = x_100 + mul_55
+        x_100 = mul_55 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_7 = torch.functional.split(x_110, [1024, 1024, 5], 1)
+        x_110 = None
+        q_7 = split_7[0]
+        ctx_7 = split_7[1]
+        gates_7 = split_7[2]
+        split_7 = None
+        input_57 = torch.conv2d(
+            ctx_7,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_7 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_58 = torch._C._nn.gelu(input_57, approximate="none")
+        input_57 = None
+        getitem_59 = gates_7[(slice(None, None, None), slice(0, 1, None))]
+        mul_56 = input_58 * getitem_59
+        getitem_59 = None
+        ctx_all_35 = 0 + mul_56
+        mul_56 = None
+        input_59 = torch.conv2d(
+            input_58,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_58 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_60 = torch._C._nn.gelu(input_59, approximate="none")
+        input_59 = None
+        getitem_60 = gates_7[(slice(None, None, None), slice(1, 2, None))]
+        mul_57 = input_60 * getitem_60
+        getitem_60 = None
+        ctx_all_36 = ctx_all_35 + mul_57
+        ctx_all_35 = mul_57 = None
+        input_61 = torch.conv2d(
+            input_60,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_60 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_62 = torch._C._nn.gelu(input_61, approximate="none")
+        input_61 = None
+        getitem_61 = gates_7[(slice(None, None, None), slice(2, 3, None))]
+        mul_58 = input_62 * getitem_61
+        getitem_61 = None
+        ctx_all_37 = ctx_all_36 + mul_58
+        ctx_all_36 = mul_58 = None
+        input_63 = torch.conv2d(
+            input_62,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_62 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_64 = torch._C._nn.gelu(input_63, approximate="none")
+        input_63 = None
+        getitem_62 = gates_7[(slice(None, None, None), slice(3, 4, None))]
+        mul_59 = input_64 * getitem_62
+        getitem_62 = None
+        ctx_all_38 = ctx_all_37 + mul_59
+        ctx_all_37 = mul_59 = None
+        mean_7 = input_64.mean((2, 3), keepdim=True)
+        input_64 = None
+        ctx_global_7 = torch._C._nn.gelu(mean_7, approximate="none")
+        mean_7 = None
+        getitem_63 = gates_7[(slice(None, None, None), slice(4, None, None))]
+        gates_7 = None
+        mul_60 = ctx_global_7 * getitem_63
+        ctx_global_7 = getitem_63 = None
+        ctx_all_39 = ctx_all_38 + mul_60
+        ctx_all_38 = mul_60 = None
+        conv2d_71 = torch.conv2d(
+            ctx_all_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_39 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_21 = q_7 * conv2d_71
+        q_7 = conv2d_71 = None
+        x_out_22 = torch.conv2d(
+            x_out_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_21 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_23 = torch.nn.functional.dropout(x_out_22, 0.0, False, False)
+        x_out_22 = None
+        x_111 = x_out_23.permute(0, 2, 3, 1)
+        x_out_23 = None
+        x_112 = torch.nn.functional.layer_norm(
+            x_111,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_111 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_ = (None)
+        x_113 = x_112.permute(0, 3, 1, 2)
+        x_112 = None
+        gamma_14 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_62 = x_113 * gamma_14
+        x_113 = gamma_14 = None
+        x_114 = x_109 + mul_62
+        x_109 = mul_62 = None
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_116 = torch._C._nn.gelu(x_115, approximate="none")
+        x_115 = None
+        x_117 = torch.nn.functional.dropout(x_116, 0.0, False, False)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_119 = torch.nn.functional.dropout(x_118, 0.0, False, False)
+        x_118 = None
+        x_120 = x_119.permute(0, 2, 3, 1)
+        x_119 = None
+        x_121 = torch.nn.functional.layer_norm(
+            x_120,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_120 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_ = (None)
+        x_122 = x_121.permute(0, 3, 1, 2)
+        x_121 = None
+        gamma_15 = l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_63 = x_122 * gamma_15
+        x_122 = gamma_15 = None
+        x_123 = x_114 + mul_63
+        x_114 = mul_63 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_8 = torch.functional.split(x_124, [1024, 1024, 5], 1)
+        x_124 = None
+        q_8 = split_8[0]
+        ctx_8 = split_8[1]
+        gates_8 = split_8[2]
+        split_8 = None
+        input_65 = torch.conv2d(
+            ctx_8,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_8 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_66 = torch._C._nn.gelu(input_65, approximate="none")
+        input_65 = None
+        getitem_67 = gates_8[(slice(None, None, None), slice(0, 1, None))]
+        mul_64 = input_66 * getitem_67
+        getitem_67 = None
+        ctx_all_40 = 0 + mul_64
+        mul_64 = None
+        input_67 = torch.conv2d(
+            input_66,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_66 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_68 = torch._C._nn.gelu(input_67, approximate="none")
+        input_67 = None
+        getitem_68 = gates_8[(slice(None, None, None), slice(1, 2, None))]
+        mul_65 = input_68 * getitem_68
+        getitem_68 = None
+        ctx_all_41 = ctx_all_40 + mul_65
+        ctx_all_40 = mul_65 = None
+        input_69 = torch.conv2d(
+            input_68,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_68 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_70 = torch._C._nn.gelu(input_69, approximate="none")
+        input_69 = None
+        getitem_69 = gates_8[(slice(None, None, None), slice(2, 3, None))]
+        mul_66 = input_70 * getitem_69
+        getitem_69 = None
+        ctx_all_42 = ctx_all_41 + mul_66
+        ctx_all_41 = mul_66 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_70 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_72 = torch._C._nn.gelu(input_71, approximate="none")
+        input_71 = None
+        getitem_70 = gates_8[(slice(None, None, None), slice(3, 4, None))]
+        mul_67 = input_72 * getitem_70
+        getitem_70 = None
+        ctx_all_43 = ctx_all_42 + mul_67
+        ctx_all_42 = mul_67 = None
+        mean_8 = input_72.mean((2, 3), keepdim=True)
+        input_72 = None
+        ctx_global_8 = torch._C._nn.gelu(mean_8, approximate="none")
+        mean_8 = None
+        getitem_71 = gates_8[(slice(None, None, None), slice(4, None, None))]
+        gates_8 = None
+        mul_68 = ctx_global_8 * getitem_71
+        ctx_global_8 = getitem_71 = None
+        ctx_all_44 = ctx_all_43 + mul_68
+        ctx_all_43 = mul_68 = None
+        conv2d_80 = torch.conv2d(
+            ctx_all_44,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_44 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_24 = q_8 * conv2d_80
+        q_8 = conv2d_80 = None
+        x_out_25 = torch.conv2d(
+            x_out_24,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_24 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_26 = torch.nn.functional.dropout(x_out_25, 0.0, False, False)
+        x_out_25 = None
+        x_125 = x_out_26.permute(0, 2, 3, 1)
+        x_out_26 = None
+        x_126 = torch.nn.functional.layer_norm(
+            x_125,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_125 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_ = (None)
+        x_127 = x_126.permute(0, 3, 1, 2)
+        x_126 = None
+        gamma_16 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_70 = x_127 * gamma_16
+        x_127 = gamma_16 = None
+        x_128 = x_123 + mul_70
+        x_123 = mul_70 = None
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_130 = torch._C._nn.gelu(x_129, approximate="none")
+        x_129 = None
+        x_131 = torch.nn.functional.dropout(x_130, 0.0, False, False)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_131 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_133 = torch.nn.functional.dropout(x_132, 0.0, False, False)
+        x_132 = None
+        x_134 = x_133.permute(0, 2, 3, 1)
+        x_133 = None
+        x_135 = torch.nn.functional.layer_norm(
+            x_134,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_134 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_ = (None)
+        x_136 = x_135.permute(0, 3, 1, 2)
+        x_135 = None
+        gamma_17 = l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_71 = x_136 * gamma_17
+        x_136 = gamma_17 = None
+        x_137 = x_128 + mul_71
+        x_128 = mul_71 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_9 = torch.functional.split(x_138, [1024, 1024, 5], 1)
+        x_138 = None
+        q_9 = split_9[0]
+        ctx_9 = split_9[1]
+        gates_9 = split_9[2]
+        split_9 = None
+        input_73 = torch.conv2d(
+            ctx_9,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_9 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_74 = torch._C._nn.gelu(input_73, approximate="none")
+        input_73 = None
+        getitem_75 = gates_9[(slice(None, None, None), slice(0, 1, None))]
+        mul_72 = input_74 * getitem_75
+        getitem_75 = None
+        ctx_all_45 = 0 + mul_72
+        mul_72 = None
+        input_75 = torch.conv2d(
+            input_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_74 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_76 = torch._C._nn.gelu(input_75, approximate="none")
+        input_75 = None
+        getitem_76 = gates_9[(slice(None, None, None), slice(1, 2, None))]
+        mul_73 = input_76 * getitem_76
+        getitem_76 = None
+        ctx_all_46 = ctx_all_45 + mul_73
+        ctx_all_45 = mul_73 = None
+        input_77 = torch.conv2d(
+            input_76,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_76 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_78 = torch._C._nn.gelu(input_77, approximate="none")
+        input_77 = None
+        getitem_77 = gates_9[(slice(None, None, None), slice(2, 3, None))]
+        mul_74 = input_78 * getitem_77
+        getitem_77 = None
+        ctx_all_47 = ctx_all_46 + mul_74
+        ctx_all_46 = mul_74 = None
+        input_79 = torch.conv2d(
+            input_78,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_78 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_80 = torch._C._nn.gelu(input_79, approximate="none")
+        input_79 = None
+        getitem_78 = gates_9[(slice(None, None, None), slice(3, 4, None))]
+        mul_75 = input_80 * getitem_78
+        getitem_78 = None
+        ctx_all_48 = ctx_all_47 + mul_75
+        ctx_all_47 = mul_75 = None
+        mean_9 = input_80.mean((2, 3), keepdim=True)
+        input_80 = None
+        ctx_global_9 = torch._C._nn.gelu(mean_9, approximate="none")
+        mean_9 = None
+        getitem_79 = gates_9[(slice(None, None, None), slice(4, None, None))]
+        gates_9 = None
+        mul_76 = ctx_global_9 * getitem_79
+        ctx_global_9 = getitem_79 = None
+        ctx_all_49 = ctx_all_48 + mul_76
+        ctx_all_48 = mul_76 = None
+        conv2d_89 = torch.conv2d(
+            ctx_all_49,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_49 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_27 = q_9 * conv2d_89
+        q_9 = conv2d_89 = None
+        x_out_28 = torch.conv2d(
+            x_out_27,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_27 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_29 = torch.nn.functional.dropout(x_out_28, 0.0, False, False)
+        x_out_28 = None
+        x_139 = x_out_29.permute(0, 2, 3, 1)
+        x_out_29 = None
+        x_140 = torch.nn.functional.layer_norm(
+            x_139,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_139 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_ = (None)
+        x_141 = x_140.permute(0, 3, 1, 2)
+        x_140 = None
+        gamma_18 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_78 = x_141 * gamma_18
+        x_141 = gamma_18 = None
+        x_142 = x_137 + mul_78
+        x_137 = mul_78 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_144 = torch._C._nn.gelu(x_143, approximate="none")
+        x_143 = None
+        x_145 = torch.nn.functional.dropout(x_144, 0.0, False, False)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_145 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_147 = torch.nn.functional.dropout(x_146, 0.0, False, False)
+        x_146 = None
+        x_148 = x_147.permute(0, 2, 3, 1)
+        x_147 = None
+        x_149 = torch.nn.functional.layer_norm(
+            x_148,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_148 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_ = (None)
+        x_150 = x_149.permute(0, 3, 1, 2)
+        x_149 = None
+        gamma_19 = l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_79 = x_150 * gamma_19
+        x_150 = gamma_19 = None
+        x_151 = x_142 + mul_79
+        x_142 = mul_79 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_10 = torch.functional.split(x_152, [1024, 1024, 5], 1)
+        x_152 = None
+        q_10 = split_10[0]
+        ctx_10 = split_10[1]
+        gates_10 = split_10[2]
+        split_10 = None
+        input_81 = torch.conv2d(
+            ctx_10,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_10 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_82 = torch._C._nn.gelu(input_81, approximate="none")
+        input_81 = None
+        getitem_83 = gates_10[(slice(None, None, None), slice(0, 1, None))]
+        mul_80 = input_82 * getitem_83
+        getitem_83 = None
+        ctx_all_50 = 0 + mul_80
+        mul_80 = None
+        input_83 = torch.conv2d(
+            input_82,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_82 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_84 = torch._C._nn.gelu(input_83, approximate="none")
+        input_83 = None
+        getitem_84 = gates_10[(slice(None, None, None), slice(1, 2, None))]
+        mul_81 = input_84 * getitem_84
+        getitem_84 = None
+        ctx_all_51 = ctx_all_50 + mul_81
+        ctx_all_50 = mul_81 = None
+        input_85 = torch.conv2d(
+            input_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_84 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_86 = torch._C._nn.gelu(input_85, approximate="none")
+        input_85 = None
+        getitem_85 = gates_10[(slice(None, None, None), slice(2, 3, None))]
+        mul_82 = input_86 * getitem_85
+        getitem_85 = None
+        ctx_all_52 = ctx_all_51 + mul_82
+        ctx_all_51 = mul_82 = None
+        input_87 = torch.conv2d(
+            input_86,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_86 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_88 = torch._C._nn.gelu(input_87, approximate="none")
+        input_87 = None
+        getitem_86 = gates_10[(slice(None, None, None), slice(3, 4, None))]
+        mul_83 = input_88 * getitem_86
+        getitem_86 = None
+        ctx_all_53 = ctx_all_52 + mul_83
+        ctx_all_52 = mul_83 = None
+        mean_10 = input_88.mean((2, 3), keepdim=True)
+        input_88 = None
+        ctx_global_10 = torch._C._nn.gelu(mean_10, approximate="none")
+        mean_10 = None
+        getitem_87 = gates_10[(slice(None, None, None), slice(4, None, None))]
+        gates_10 = None
+        mul_84 = ctx_global_10 * getitem_87
+        ctx_global_10 = getitem_87 = None
+        ctx_all_54 = ctx_all_53 + mul_84
+        ctx_all_53 = mul_84 = None
+        conv2d_98 = torch.conv2d(
+            ctx_all_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_54 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_30 = q_10 * conv2d_98
+        q_10 = conv2d_98 = None
+        x_out_31 = torch.conv2d(
+            x_out_30,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_30 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_32 = torch.nn.functional.dropout(x_out_31, 0.0, False, False)
+        x_out_31 = None
+        x_153 = x_out_32.permute(0, 2, 3, 1)
+        x_out_32 = None
+        x_154 = torch.nn.functional.layer_norm(
+            x_153,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_153 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_ = (None)
+        x_155 = x_154.permute(0, 3, 1, 2)
+        x_154 = None
+        gamma_20 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_86 = x_155 * gamma_20
+        x_155 = gamma_20 = None
+        x_156 = x_151 + mul_86
+        x_151 = mul_86 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_158 = torch._C._nn.gelu(x_157, approximate="none")
+        x_157 = None
+        x_159 = torch.nn.functional.dropout(x_158, 0.0, False, False)
+        x_158 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_161 = torch.nn.functional.dropout(x_160, 0.0, False, False)
+        x_160 = None
+        x_162 = x_161.permute(0, 2, 3, 1)
+        x_161 = None
+        x_163 = torch.nn.functional.layer_norm(
+            x_162,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_162 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_ = (None)
+        x_164 = x_163.permute(0, 3, 1, 2)
+        x_163 = None
+        gamma_21 = l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_87 = x_164 * gamma_21
+        x_164 = gamma_21 = None
+        x_165 = x_156 + mul_87
+        x_156 = mul_87 = None
+        x_166 = torch.conv2d(
+            x_165,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_11 = torch.functional.split(x_166, [1024, 1024, 5], 1)
+        x_166 = None
+        q_11 = split_11[0]
+        ctx_11 = split_11[1]
+        gates_11 = split_11[2]
+        split_11 = None
+        input_89 = torch.conv2d(
+            ctx_11,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_11 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_90 = torch._C._nn.gelu(input_89, approximate="none")
+        input_89 = None
+        getitem_91 = gates_11[(slice(None, None, None), slice(0, 1, None))]
+        mul_88 = input_90 * getitem_91
+        getitem_91 = None
+        ctx_all_55 = 0 + mul_88
+        mul_88 = None
+        input_91 = torch.conv2d(
+            input_90,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_90 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_92 = torch._C._nn.gelu(input_91, approximate="none")
+        input_91 = None
+        getitem_92 = gates_11[(slice(None, None, None), slice(1, 2, None))]
+        mul_89 = input_92 * getitem_92
+        getitem_92 = None
+        ctx_all_56 = ctx_all_55 + mul_89
+        ctx_all_55 = mul_89 = None
+        input_93 = torch.conv2d(
+            input_92,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_92 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_94 = torch._C._nn.gelu(input_93, approximate="none")
+        input_93 = None
+        getitem_93 = gates_11[(slice(None, None, None), slice(2, 3, None))]
+        mul_90 = input_94 * getitem_93
+        getitem_93 = None
+        ctx_all_57 = ctx_all_56 + mul_90
+        ctx_all_56 = mul_90 = None
+        input_95 = torch.conv2d(
+            input_94,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_94 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_96 = torch._C._nn.gelu(input_95, approximate="none")
+        input_95 = None
+        getitem_94 = gates_11[(slice(None, None, None), slice(3, 4, None))]
+        mul_91 = input_96 * getitem_94
+        getitem_94 = None
+        ctx_all_58 = ctx_all_57 + mul_91
+        ctx_all_57 = mul_91 = None
+        mean_11 = input_96.mean((2, 3), keepdim=True)
+        input_96 = None
+        ctx_global_11 = torch._C._nn.gelu(mean_11, approximate="none")
+        mean_11 = None
+        getitem_95 = gates_11[(slice(None, None, None), slice(4, None, None))]
+        gates_11 = None
+        mul_92 = ctx_global_11 * getitem_95
+        ctx_global_11 = getitem_95 = None
+        ctx_all_59 = ctx_all_58 + mul_92
+        ctx_all_58 = mul_92 = None
+        conv2d_107 = torch.conv2d(
+            ctx_all_59,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_59 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_33 = q_11 * conv2d_107
+        q_11 = conv2d_107 = None
+        x_out_34 = torch.conv2d(
+            x_out_33,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_33 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_35 = torch.nn.functional.dropout(x_out_34, 0.0, False, False)
+        x_out_34 = None
+        x_167 = x_out_35.permute(0, 2, 3, 1)
+        x_out_35 = None
+        x_168 = torch.nn.functional.layer_norm(
+            x_167,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_167 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_ = (None)
+        x_169 = x_168.permute(0, 3, 1, 2)
+        x_168 = None
+        gamma_22 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_94 = x_169 * gamma_22
+        x_169 = gamma_22 = None
+        x_170 = x_165 + mul_94
+        x_165 = mul_94 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_172 = torch._C._nn.gelu(x_171, approximate="none")
+        x_171 = None
+        x_173 = torch.nn.functional.dropout(x_172, 0.0, False, False)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_173 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_175 = torch.nn.functional.dropout(x_174, 0.0, False, False)
+        x_174 = None
+        x_176 = x_175.permute(0, 2, 3, 1)
+        x_175 = None
+        x_177 = torch.nn.functional.layer_norm(
+            x_176,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_176 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_ = (None)
+        x_178 = x_177.permute(0, 3, 1, 2)
+        x_177 = None
+        gamma_23 = l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_95 = x_178 * gamma_23
+        x_178 = gamma_23 = None
+        x_179 = x_170 + mul_95
+        x_170 = mul_95 = None
+        x_180 = torch.conv2d(
+            x_179,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_12 = torch.functional.split(x_180, [1024, 1024, 5], 1)
+        x_180 = None
+        q_12 = split_12[0]
+        ctx_12 = split_12[1]
+        gates_12 = split_12[2]
+        split_12 = None
+        input_97 = torch.conv2d(
+            ctx_12,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_12 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_98 = torch._C._nn.gelu(input_97, approximate="none")
+        input_97 = None
+        getitem_99 = gates_12[(slice(None, None, None), slice(0, 1, None))]
+        mul_96 = input_98 * getitem_99
+        getitem_99 = None
+        ctx_all_60 = 0 + mul_96
+        mul_96 = None
+        input_99 = torch.conv2d(
+            input_98,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_98 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_100 = torch._C._nn.gelu(input_99, approximate="none")
+        input_99 = None
+        getitem_100 = gates_12[(slice(None, None, None), slice(1, 2, None))]
+        mul_97 = input_100 * getitem_100
+        getitem_100 = None
+        ctx_all_61 = ctx_all_60 + mul_97
+        ctx_all_60 = mul_97 = None
+        input_101 = torch.conv2d(
+            input_100,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_100 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_102 = torch._C._nn.gelu(input_101, approximate="none")
+        input_101 = None
+        getitem_101 = gates_12[(slice(None, None, None), slice(2, 3, None))]
+        mul_98 = input_102 * getitem_101
+        getitem_101 = None
+        ctx_all_62 = ctx_all_61 + mul_98
+        ctx_all_61 = mul_98 = None
+        input_103 = torch.conv2d(
+            input_102,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_102 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_104 = torch._C._nn.gelu(input_103, approximate="none")
+        input_103 = None
+        getitem_102 = gates_12[(slice(None, None, None), slice(3, 4, None))]
+        mul_99 = input_104 * getitem_102
+        getitem_102 = None
+        ctx_all_63 = ctx_all_62 + mul_99
+        ctx_all_62 = mul_99 = None
+        mean_12 = input_104.mean((2, 3), keepdim=True)
+        input_104 = None
+        ctx_global_12 = torch._C._nn.gelu(mean_12, approximate="none")
+        mean_12 = None
+        getitem_103 = gates_12[(slice(None, None, None), slice(4, None, None))]
+        gates_12 = None
+        mul_100 = ctx_global_12 * getitem_103
+        ctx_global_12 = getitem_103 = None
+        ctx_all_64 = ctx_all_63 + mul_100
+        ctx_all_63 = mul_100 = None
+        conv2d_116 = torch.conv2d(
+            ctx_all_64,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_64 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_36 = q_12 * conv2d_116
+        q_12 = conv2d_116 = None
+        x_out_37 = torch.conv2d(
+            x_out_36,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_36 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_38 = torch.nn.functional.dropout(x_out_37, 0.0, False, False)
+        x_out_37 = None
+        x_181 = x_out_38.permute(0, 2, 3, 1)
+        x_out_38 = None
+        x_182 = torch.nn.functional.layer_norm(
+            x_181,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_181 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_ = (None)
+        x_183 = x_182.permute(0, 3, 1, 2)
+        x_182 = None
+        gamma_24 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_102 = x_183 * gamma_24
+        x_183 = gamma_24 = None
+        x_184 = x_179 + mul_102
+        x_179 = mul_102 = None
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_186 = torch._C._nn.gelu(x_185, approximate="none")
+        x_185 = None
+        x_187 = torch.nn.functional.dropout(x_186, 0.0, False, False)
+        x_186 = None
+        x_188 = torch.conv2d(
+            x_187,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_187 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_189 = torch.nn.functional.dropout(x_188, 0.0, False, False)
+        x_188 = None
+        x_190 = x_189.permute(0, 2, 3, 1)
+        x_189 = None
+        x_191 = torch.nn.functional.layer_norm(
+            x_190,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_190 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_ = (None)
+        x_192 = x_191.permute(0, 3, 1, 2)
+        x_191 = None
+        gamma_25 = l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_103 = x_192 * gamma_25
+        x_192 = gamma_25 = None
+        x_193 = x_184 + mul_103
+        x_184 = mul_103 = None
+        x_194 = torch.conv2d(
+            x_193,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_13 = torch.functional.split(x_194, [1024, 1024, 5], 1)
+        x_194 = None
+        q_13 = split_13[0]
+        ctx_13 = split_13[1]
+        gates_13 = split_13[2]
+        split_13 = None
+        input_105 = torch.conv2d(
+            ctx_13,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_13 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_106 = torch._C._nn.gelu(input_105, approximate="none")
+        input_105 = None
+        getitem_107 = gates_13[(slice(None, None, None), slice(0, 1, None))]
+        mul_104 = input_106 * getitem_107
+        getitem_107 = None
+        ctx_all_65 = 0 + mul_104
+        mul_104 = None
+        input_107 = torch.conv2d(
+            input_106,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_106 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_108 = torch._C._nn.gelu(input_107, approximate="none")
+        input_107 = None
+        getitem_108 = gates_13[(slice(None, None, None), slice(1, 2, None))]
+        mul_105 = input_108 * getitem_108
+        getitem_108 = None
+        ctx_all_66 = ctx_all_65 + mul_105
+        ctx_all_65 = mul_105 = None
+        input_109 = torch.conv2d(
+            input_108,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_108 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_110 = torch._C._nn.gelu(input_109, approximate="none")
+        input_109 = None
+        getitem_109 = gates_13[(slice(None, None, None), slice(2, 3, None))]
+        mul_106 = input_110 * getitem_109
+        getitem_109 = None
+        ctx_all_67 = ctx_all_66 + mul_106
+        ctx_all_66 = mul_106 = None
+        input_111 = torch.conv2d(
+            input_110,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_110 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_112 = torch._C._nn.gelu(input_111, approximate="none")
+        input_111 = None
+        getitem_110 = gates_13[(slice(None, None, None), slice(3, 4, None))]
+        mul_107 = input_112 * getitem_110
+        getitem_110 = None
+        ctx_all_68 = ctx_all_67 + mul_107
+        ctx_all_67 = mul_107 = None
+        mean_13 = input_112.mean((2, 3), keepdim=True)
+        input_112 = None
+        ctx_global_13 = torch._C._nn.gelu(mean_13, approximate="none")
+        mean_13 = None
+        getitem_111 = gates_13[(slice(None, None, None), slice(4, None, None))]
+        gates_13 = None
+        mul_108 = ctx_global_13 * getitem_111
+        ctx_global_13 = getitem_111 = None
+        ctx_all_69 = ctx_all_68 + mul_108
+        ctx_all_68 = mul_108 = None
+        conv2d_125 = torch.conv2d(
+            ctx_all_69,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_69 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_39 = q_13 * conv2d_125
+        q_13 = conv2d_125 = None
+        x_out_40 = torch.conv2d(
+            x_out_39,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_39 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_41 = torch.nn.functional.dropout(x_out_40, 0.0, False, False)
+        x_out_40 = None
+        x_195 = x_out_41.permute(0, 2, 3, 1)
+        x_out_41 = None
+        x_196 = torch.nn.functional.layer_norm(
+            x_195,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_195 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_ = (None)
+        x_197 = x_196.permute(0, 3, 1, 2)
+        x_196 = None
+        gamma_26 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_110 = x_197 * gamma_26
+        x_197 = gamma_26 = None
+        x_198 = x_193 + mul_110
+        x_193 = mul_110 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_200 = torch._C._nn.gelu(x_199, approximate="none")
+        x_199 = None
+        x_201 = torch.nn.functional.dropout(x_200, 0.0, False, False)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_201 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_203 = torch.nn.functional.dropout(x_202, 0.0, False, False)
+        x_202 = None
+        x_204 = x_203.permute(0, 2, 3, 1)
+        x_203 = None
+        x_205 = torch.nn.functional.layer_norm(
+            x_204,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_204 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_ = (None)
+        x_206 = x_205.permute(0, 3, 1, 2)
+        x_205 = None
+        gamma_27 = l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_111 = x_206 * gamma_27
+        x_206 = gamma_27 = None
+        x_207 = x_198 + mul_111
+        x_198 = mul_111 = None
+        x_208 = torch.conv2d(
+            x_207,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_14 = torch.functional.split(x_208, [1024, 1024, 5], 1)
+        x_208 = None
+        q_14 = split_14[0]
+        ctx_14 = split_14[1]
+        gates_14 = split_14[2]
+        split_14 = None
+        input_113 = torch.conv2d(
+            ctx_14,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_14 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_114 = torch._C._nn.gelu(input_113, approximate="none")
+        input_113 = None
+        getitem_115 = gates_14[(slice(None, None, None), slice(0, 1, None))]
+        mul_112 = input_114 * getitem_115
+        getitem_115 = None
+        ctx_all_70 = 0 + mul_112
+        mul_112 = None
+        input_115 = torch.conv2d(
+            input_114,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_114 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_116 = torch._C._nn.gelu(input_115, approximate="none")
+        input_115 = None
+        getitem_116 = gates_14[(slice(None, None, None), slice(1, 2, None))]
+        mul_113 = input_116 * getitem_116
+        getitem_116 = None
+        ctx_all_71 = ctx_all_70 + mul_113
+        ctx_all_70 = mul_113 = None
+        input_117 = torch.conv2d(
+            input_116,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_116 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_118 = torch._C._nn.gelu(input_117, approximate="none")
+        input_117 = None
+        getitem_117 = gates_14[(slice(None, None, None), slice(2, 3, None))]
+        mul_114 = input_118 * getitem_117
+        getitem_117 = None
+        ctx_all_72 = ctx_all_71 + mul_114
+        ctx_all_71 = mul_114 = None
+        input_119 = torch.conv2d(
+            input_118,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_118 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_120 = torch._C._nn.gelu(input_119, approximate="none")
+        input_119 = None
+        getitem_118 = gates_14[(slice(None, None, None), slice(3, 4, None))]
+        mul_115 = input_120 * getitem_118
+        getitem_118 = None
+        ctx_all_73 = ctx_all_72 + mul_115
+        ctx_all_72 = mul_115 = None
+        mean_14 = input_120.mean((2, 3), keepdim=True)
+        input_120 = None
+        ctx_global_14 = torch._C._nn.gelu(mean_14, approximate="none")
+        mean_14 = None
+        getitem_119 = gates_14[(slice(None, None, None), slice(4, None, None))]
+        gates_14 = None
+        mul_116 = ctx_global_14 * getitem_119
+        ctx_global_14 = getitem_119 = None
+        ctx_all_74 = ctx_all_73 + mul_116
+        ctx_all_73 = mul_116 = None
+        conv2d_134 = torch.conv2d(
+            ctx_all_74,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_74 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_42 = q_14 * conv2d_134
+        q_14 = conv2d_134 = None
+        x_out_43 = torch.conv2d(
+            x_out_42,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_42 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_44 = torch.nn.functional.dropout(x_out_43, 0.0, False, False)
+        x_out_43 = None
+        x_209 = x_out_44.permute(0, 2, 3, 1)
+        x_out_44 = None
+        x_210 = torch.nn.functional.layer_norm(
+            x_209,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_209 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_ = (None)
+        x_211 = x_210.permute(0, 3, 1, 2)
+        x_210 = None
+        gamma_28 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_118 = x_211 * gamma_28
+        x_211 = gamma_28 = None
+        x_212 = x_207 + mul_118
+        x_207 = mul_118 = None
+        x_213 = torch.conv2d(
+            x_212,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_214 = torch._C._nn.gelu(x_213, approximate="none")
+        x_213 = None
+        x_215 = torch.nn.functional.dropout(x_214, 0.0, False, False)
+        x_214 = None
+        x_216 = torch.conv2d(
+            x_215,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_215 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_217 = torch.nn.functional.dropout(x_216, 0.0, False, False)
+        x_216 = None
+        x_218 = x_217.permute(0, 2, 3, 1)
+        x_217 = None
+        x_219 = torch.nn.functional.layer_norm(
+            x_218,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_218 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_ = (None)
+        x_220 = x_219.permute(0, 3, 1, 2)
+        x_219 = None
+        gamma_29 = l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_119 = x_220 * gamma_29
+        x_220 = gamma_29 = None
+        x_221 = x_212 + mul_119
+        x_212 = mul_119 = None
+        x_222 = torch.conv2d(
+            x_221,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_15 = torch.functional.split(x_222, [1024, 1024, 5], 1)
+        x_222 = None
+        q_15 = split_15[0]
+        ctx_15 = split_15[1]
+        gates_15 = split_15[2]
+        split_15 = None
+        input_121 = torch.conv2d(
+            ctx_15,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_15 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_122 = torch._C._nn.gelu(input_121, approximate="none")
+        input_121 = None
+        getitem_123 = gates_15[(slice(None, None, None), slice(0, 1, None))]
+        mul_120 = input_122 * getitem_123
+        getitem_123 = None
+        ctx_all_75 = 0 + mul_120
+        mul_120 = None
+        input_123 = torch.conv2d(
+            input_122,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_122 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_124 = torch._C._nn.gelu(input_123, approximate="none")
+        input_123 = None
+        getitem_124 = gates_15[(slice(None, None, None), slice(1, 2, None))]
+        mul_121 = input_124 * getitem_124
+        getitem_124 = None
+        ctx_all_76 = ctx_all_75 + mul_121
+        ctx_all_75 = mul_121 = None
+        input_125 = torch.conv2d(
+            input_124,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_124 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_126 = torch._C._nn.gelu(input_125, approximate="none")
+        input_125 = None
+        getitem_125 = gates_15[(slice(None, None, None), slice(2, 3, None))]
+        mul_122 = input_126 * getitem_125
+        getitem_125 = None
+        ctx_all_77 = ctx_all_76 + mul_122
+        ctx_all_76 = mul_122 = None
+        input_127 = torch.conv2d(
+            input_126,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_126 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_128 = torch._C._nn.gelu(input_127, approximate="none")
+        input_127 = None
+        getitem_126 = gates_15[(slice(None, None, None), slice(3, 4, None))]
+        mul_123 = input_128 * getitem_126
+        getitem_126 = None
+        ctx_all_78 = ctx_all_77 + mul_123
+        ctx_all_77 = mul_123 = None
+        mean_15 = input_128.mean((2, 3), keepdim=True)
+        input_128 = None
+        ctx_global_15 = torch._C._nn.gelu(mean_15, approximate="none")
+        mean_15 = None
+        getitem_127 = gates_15[(slice(None, None, None), slice(4, None, None))]
+        gates_15 = None
+        mul_124 = ctx_global_15 * getitem_127
+        ctx_global_15 = getitem_127 = None
+        ctx_all_79 = ctx_all_78 + mul_124
+        ctx_all_78 = mul_124 = None
+        conv2d_143 = torch.conv2d(
+            ctx_all_79,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_79 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_45 = q_15 * conv2d_143
+        q_15 = conv2d_143 = None
+        x_out_46 = torch.conv2d(
+            x_out_45,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_45 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_47 = torch.nn.functional.dropout(x_out_46, 0.0, False, False)
+        x_out_46 = None
+        x_223 = x_out_47.permute(0, 2, 3, 1)
+        x_out_47 = None
+        x_224 = torch.nn.functional.layer_norm(
+            x_223,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_223 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_ = (None)
+        x_225 = x_224.permute(0, 3, 1, 2)
+        x_224 = None
+        gamma_30 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_126 = x_225 * gamma_30
+        x_225 = gamma_30 = None
+        x_226 = x_221 + mul_126
+        x_221 = mul_126 = None
+        x_227 = torch.conv2d(
+            x_226,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_228 = torch._C._nn.gelu(x_227, approximate="none")
+        x_227 = None
+        x_229 = torch.nn.functional.dropout(x_228, 0.0, False, False)
+        x_228 = None
+        x_230 = torch.conv2d(
+            x_229,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_229 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_231 = torch.nn.functional.dropout(x_230, 0.0, False, False)
+        x_230 = None
+        x_232 = x_231.permute(0, 2, 3, 1)
+        x_231 = None
+        x_233 = torch.nn.functional.layer_norm(
+            x_232,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_232 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_ = (None)
+        x_234 = x_233.permute(0, 3, 1, 2)
+        x_233 = None
+        gamma_31 = l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_127 = x_234 * gamma_31
+        x_234 = gamma_31 = None
+        x_235 = x_226 + mul_127
+        x_226 = mul_127 = None
+        x_236 = torch.conv2d(
+            x_235,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_16 = torch.functional.split(x_236, [1024, 1024, 5], 1)
+        x_236 = None
+        q_16 = split_16[0]
+        ctx_16 = split_16[1]
+        gates_16 = split_16[2]
+        split_16 = None
+        input_129 = torch.conv2d(
+            ctx_16,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_16 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_130 = torch._C._nn.gelu(input_129, approximate="none")
+        input_129 = None
+        getitem_131 = gates_16[(slice(None, None, None), slice(0, 1, None))]
+        mul_128 = input_130 * getitem_131
+        getitem_131 = None
+        ctx_all_80 = 0 + mul_128
+        mul_128 = None
+        input_131 = torch.conv2d(
+            input_130,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_130 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_132 = torch._C._nn.gelu(input_131, approximate="none")
+        input_131 = None
+        getitem_132 = gates_16[(slice(None, None, None), slice(1, 2, None))]
+        mul_129 = input_132 * getitem_132
+        getitem_132 = None
+        ctx_all_81 = ctx_all_80 + mul_129
+        ctx_all_80 = mul_129 = None
+        input_133 = torch.conv2d(
+            input_132,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_132 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_134 = torch._C._nn.gelu(input_133, approximate="none")
+        input_133 = None
+        getitem_133 = gates_16[(slice(None, None, None), slice(2, 3, None))]
+        mul_130 = input_134 * getitem_133
+        getitem_133 = None
+        ctx_all_82 = ctx_all_81 + mul_130
+        ctx_all_81 = mul_130 = None
+        input_135 = torch.conv2d(
+            input_134,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_134 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_136 = torch._C._nn.gelu(input_135, approximate="none")
+        input_135 = None
+        getitem_134 = gates_16[(slice(None, None, None), slice(3, 4, None))]
+        mul_131 = input_136 * getitem_134
+        getitem_134 = None
+        ctx_all_83 = ctx_all_82 + mul_131
+        ctx_all_82 = mul_131 = None
+        mean_16 = input_136.mean((2, 3), keepdim=True)
+        input_136 = None
+        ctx_global_16 = torch._C._nn.gelu(mean_16, approximate="none")
+        mean_16 = None
+        getitem_135 = gates_16[(slice(None, None, None), slice(4, None, None))]
+        gates_16 = None
+        mul_132 = ctx_global_16 * getitem_135
+        ctx_global_16 = getitem_135 = None
+        ctx_all_84 = ctx_all_83 + mul_132
+        ctx_all_83 = mul_132 = None
+        conv2d_152 = torch.conv2d(
+            ctx_all_84,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_84 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_48 = q_16 * conv2d_152
+        q_16 = conv2d_152 = None
+        x_out_49 = torch.conv2d(
+            x_out_48,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_48 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_50 = torch.nn.functional.dropout(x_out_49, 0.0, False, False)
+        x_out_49 = None
+        x_237 = x_out_50.permute(0, 2, 3, 1)
+        x_out_50 = None
+        x_238 = torch.nn.functional.layer_norm(
+            x_237,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_237 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_ = (None)
+        x_239 = x_238.permute(0, 3, 1, 2)
+        x_238 = None
+        gamma_32 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_134 = x_239 * gamma_32
+        x_239 = gamma_32 = None
+        x_240 = x_235 + mul_134
+        x_235 = mul_134 = None
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_242 = torch._C._nn.gelu(x_241, approximate="none")
+        x_241 = None
+        x_243 = torch.nn.functional.dropout(x_242, 0.0, False, False)
+        x_242 = None
+        x_244 = torch.conv2d(
+            x_243,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_243 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_245 = torch.nn.functional.dropout(x_244, 0.0, False, False)
+        x_244 = None
+        x_246 = x_245.permute(0, 2, 3, 1)
+        x_245 = None
+        x_247 = torch.nn.functional.layer_norm(
+            x_246,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_246 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_ = (None)
+        x_248 = x_247.permute(0, 3, 1, 2)
+        x_247 = None
+        gamma_33 = l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_135 = x_248 * gamma_33
+        x_248 = gamma_33 = None
+        x_249 = x_240 + mul_135
+        x_240 = mul_135 = None
+        x_250 = torch.conv2d(
+            x_249,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_17 = torch.functional.split(x_250, [1024, 1024, 5], 1)
+        x_250 = None
+        q_17 = split_17[0]
+        ctx_17 = split_17[1]
+        gates_17 = split_17[2]
+        split_17 = None
+        input_137 = torch.conv2d(
+            ctx_17,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_17 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_138 = torch._C._nn.gelu(input_137, approximate="none")
+        input_137 = None
+        getitem_139 = gates_17[(slice(None, None, None), slice(0, 1, None))]
+        mul_136 = input_138 * getitem_139
+        getitem_139 = None
+        ctx_all_85 = 0 + mul_136
+        mul_136 = None
+        input_139 = torch.conv2d(
+            input_138,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_138 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_140 = torch._C._nn.gelu(input_139, approximate="none")
+        input_139 = None
+        getitem_140 = gates_17[(slice(None, None, None), slice(1, 2, None))]
+        mul_137 = input_140 * getitem_140
+        getitem_140 = None
+        ctx_all_86 = ctx_all_85 + mul_137
+        ctx_all_85 = mul_137 = None
+        input_141 = torch.conv2d(
+            input_140,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_140 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_142 = torch._C._nn.gelu(input_141, approximate="none")
+        input_141 = None
+        getitem_141 = gates_17[(slice(None, None, None), slice(2, 3, None))]
+        mul_138 = input_142 * getitem_141
+        getitem_141 = None
+        ctx_all_87 = ctx_all_86 + mul_138
+        ctx_all_86 = mul_138 = None
+        input_143 = torch.conv2d(
+            input_142,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_142 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_144 = torch._C._nn.gelu(input_143, approximate="none")
+        input_143 = None
+        getitem_142 = gates_17[(slice(None, None, None), slice(3, 4, None))]
+        mul_139 = input_144 * getitem_142
+        getitem_142 = None
+        ctx_all_88 = ctx_all_87 + mul_139
+        ctx_all_87 = mul_139 = None
+        mean_17 = input_144.mean((2, 3), keepdim=True)
+        input_144 = None
+        ctx_global_17 = torch._C._nn.gelu(mean_17, approximate="none")
+        mean_17 = None
+        getitem_143 = gates_17[(slice(None, None, None), slice(4, None, None))]
+        gates_17 = None
+        mul_140 = ctx_global_17 * getitem_143
+        ctx_global_17 = getitem_143 = None
+        ctx_all_89 = ctx_all_88 + mul_140
+        ctx_all_88 = mul_140 = None
+        conv2d_161 = torch.conv2d(
+            ctx_all_89,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_89 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_51 = q_17 * conv2d_161
+        q_17 = conv2d_161 = None
+        x_out_52 = torch.conv2d(
+            x_out_51,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_51 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_53 = torch.nn.functional.dropout(x_out_52, 0.0, False, False)
+        x_out_52 = None
+        x_251 = x_out_53.permute(0, 2, 3, 1)
+        x_out_53 = None
+        x_252 = torch.nn.functional.layer_norm(
+            x_251,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_251 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_ = (None)
+        x_253 = x_252.permute(0, 3, 1, 2)
+        x_252 = None
+        gamma_34 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_142 = x_253 * gamma_34
+        x_253 = gamma_34 = None
+        x_254 = x_249 + mul_142
+        x_249 = mul_142 = None
+        x_255 = torch.conv2d(
+            x_254,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_256 = torch._C._nn.gelu(x_255, approximate="none")
+        x_255 = None
+        x_257 = torch.nn.functional.dropout(x_256, 0.0, False, False)
+        x_256 = None
+        x_258 = torch.conv2d(
+            x_257,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_257 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_259 = torch.nn.functional.dropout(x_258, 0.0, False, False)
+        x_258 = None
+        x_260 = x_259.permute(0, 2, 3, 1)
+        x_259 = None
+        x_261 = torch.nn.functional.layer_norm(
+            x_260,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_260 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_ = (None)
+        x_262 = x_261.permute(0, 3, 1, 2)
+        x_261 = None
+        gamma_35 = l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_143 = x_262 * gamma_35
+        x_262 = gamma_35 = None
+        x_263 = x_254 + mul_143
+        x_254 = mul_143 = None
+        x_264 = torch.conv2d(
+            x_263,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_18 = torch.functional.split(x_264, [1024, 1024, 5], 1)
+        x_264 = None
+        q_18 = split_18[0]
+        ctx_18 = split_18[1]
+        gates_18 = split_18[2]
+        split_18 = None
+        input_145 = torch.conv2d(
+            ctx_18,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_18 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_146 = torch._C._nn.gelu(input_145, approximate="none")
+        input_145 = None
+        getitem_147 = gates_18[(slice(None, None, None), slice(0, 1, None))]
+        mul_144 = input_146 * getitem_147
+        getitem_147 = None
+        ctx_all_90 = 0 + mul_144
+        mul_144 = None
+        input_147 = torch.conv2d(
+            input_146,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_146 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_148 = torch._C._nn.gelu(input_147, approximate="none")
+        input_147 = None
+        getitem_148 = gates_18[(slice(None, None, None), slice(1, 2, None))]
+        mul_145 = input_148 * getitem_148
+        getitem_148 = None
+        ctx_all_91 = ctx_all_90 + mul_145
+        ctx_all_90 = mul_145 = None
+        input_149 = torch.conv2d(
+            input_148,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_148 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_150 = torch._C._nn.gelu(input_149, approximate="none")
+        input_149 = None
+        getitem_149 = gates_18[(slice(None, None, None), slice(2, 3, None))]
+        mul_146 = input_150 * getitem_149
+        getitem_149 = None
+        ctx_all_92 = ctx_all_91 + mul_146
+        ctx_all_91 = mul_146 = None
+        input_151 = torch.conv2d(
+            input_150,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_150 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_152 = torch._C._nn.gelu(input_151, approximate="none")
+        input_151 = None
+        getitem_150 = gates_18[(slice(None, None, None), slice(3, 4, None))]
+        mul_147 = input_152 * getitem_150
+        getitem_150 = None
+        ctx_all_93 = ctx_all_92 + mul_147
+        ctx_all_92 = mul_147 = None
+        mean_18 = input_152.mean((2, 3), keepdim=True)
+        input_152 = None
+        ctx_global_18 = torch._C._nn.gelu(mean_18, approximate="none")
+        mean_18 = None
+        getitem_151 = gates_18[(slice(None, None, None), slice(4, None, None))]
+        gates_18 = None
+        mul_148 = ctx_global_18 * getitem_151
+        ctx_global_18 = getitem_151 = None
+        ctx_all_94 = ctx_all_93 + mul_148
+        ctx_all_93 = mul_148 = None
+        conv2d_170 = torch.conv2d(
+            ctx_all_94,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_94 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_54 = q_18 * conv2d_170
+        q_18 = conv2d_170 = None
+        x_out_55 = torch.conv2d(
+            x_out_54,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_54 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_56 = torch.nn.functional.dropout(x_out_55, 0.0, False, False)
+        x_out_55 = None
+        x_265 = x_out_56.permute(0, 2, 3, 1)
+        x_out_56 = None
+        x_266 = torch.nn.functional.layer_norm(
+            x_265,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_265 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_ = (None)
+        x_267 = x_266.permute(0, 3, 1, 2)
+        x_266 = None
+        gamma_36 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_150 = x_267 * gamma_36
+        x_267 = gamma_36 = None
+        x_268 = x_263 + mul_150
+        x_263 = mul_150 = None
+        x_269 = torch.conv2d(
+            x_268,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_270 = torch._C._nn.gelu(x_269, approximate="none")
+        x_269 = None
+        x_271 = torch.nn.functional.dropout(x_270, 0.0, False, False)
+        x_270 = None
+        x_272 = torch.conv2d(
+            x_271,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_271 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_273 = torch.nn.functional.dropout(x_272, 0.0, False, False)
+        x_272 = None
+        x_274 = x_273.permute(0, 2, 3, 1)
+        x_273 = None
+        x_275 = torch.nn.functional.layer_norm(
+            x_274,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_274 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_ = (None)
+        x_276 = x_275.permute(0, 3, 1, 2)
+        x_275 = None
+        gamma_37 = l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_151 = x_276 * gamma_37
+        x_276 = gamma_37 = None
+        x_277 = x_268 + mul_151
+        x_268 = mul_151 = None
+        x_278 = torch.conv2d(
+            x_277,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_19 = torch.functional.split(x_278, [1024, 1024, 5], 1)
+        x_278 = None
+        q_19 = split_19[0]
+        ctx_19 = split_19[1]
+        gates_19 = split_19[2]
+        split_19 = None
+        input_153 = torch.conv2d(
+            ctx_19,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_19 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_154 = torch._C._nn.gelu(input_153, approximate="none")
+        input_153 = None
+        getitem_155 = gates_19[(slice(None, None, None), slice(0, 1, None))]
+        mul_152 = input_154 * getitem_155
+        getitem_155 = None
+        ctx_all_95 = 0 + mul_152
+        mul_152 = None
+        input_155 = torch.conv2d(
+            input_154,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_154 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_156 = torch._C._nn.gelu(input_155, approximate="none")
+        input_155 = None
+        getitem_156 = gates_19[(slice(None, None, None), slice(1, 2, None))]
+        mul_153 = input_156 * getitem_156
+        getitem_156 = None
+        ctx_all_96 = ctx_all_95 + mul_153
+        ctx_all_95 = mul_153 = None
+        input_157 = torch.conv2d(
+            input_156,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_156 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_158 = torch._C._nn.gelu(input_157, approximate="none")
+        input_157 = None
+        getitem_157 = gates_19[(slice(None, None, None), slice(2, 3, None))]
+        mul_154 = input_158 * getitem_157
+        getitem_157 = None
+        ctx_all_97 = ctx_all_96 + mul_154
+        ctx_all_96 = mul_154 = None
+        input_159 = torch.conv2d(
+            input_158,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_158 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_160 = torch._C._nn.gelu(input_159, approximate="none")
+        input_159 = None
+        getitem_158 = gates_19[(slice(None, None, None), slice(3, 4, None))]
+        mul_155 = input_160 * getitem_158
+        getitem_158 = None
+        ctx_all_98 = ctx_all_97 + mul_155
+        ctx_all_97 = mul_155 = None
+        mean_19 = input_160.mean((2, 3), keepdim=True)
+        input_160 = None
+        ctx_global_19 = torch._C._nn.gelu(mean_19, approximate="none")
+        mean_19 = None
+        getitem_159 = gates_19[(slice(None, None, None), slice(4, None, None))]
+        gates_19 = None
+        mul_156 = ctx_global_19 * getitem_159
+        ctx_global_19 = getitem_159 = None
+        ctx_all_99 = ctx_all_98 + mul_156
+        ctx_all_98 = mul_156 = None
+        conv2d_179 = torch.conv2d(
+            ctx_all_99,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_99 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_57 = q_19 * conv2d_179
+        q_19 = conv2d_179 = None
+        x_out_58 = torch.conv2d(
+            x_out_57,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_57 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_59 = torch.nn.functional.dropout(x_out_58, 0.0, False, False)
+        x_out_58 = None
+        x_279 = x_out_59.permute(0, 2, 3, 1)
+        x_out_59 = None
+        x_280 = torch.nn.functional.layer_norm(
+            x_279,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_279 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_ = (None)
+        x_281 = x_280.permute(0, 3, 1, 2)
+        x_280 = None
+        gamma_38 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_158 = x_281 * gamma_38
+        x_281 = gamma_38 = None
+        x_282 = x_277 + mul_158
+        x_277 = mul_158 = None
+        x_283 = torch.conv2d(
+            x_282,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_284 = torch._C._nn.gelu(x_283, approximate="none")
+        x_283 = None
+        x_285 = torch.nn.functional.dropout(x_284, 0.0, False, False)
+        x_284 = None
+        x_286 = torch.conv2d(
+            x_285,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_285 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_287 = torch.nn.functional.dropout(x_286, 0.0, False, False)
+        x_286 = None
+        x_288 = x_287.permute(0, 2, 3, 1)
+        x_287 = None
+        x_289 = torch.nn.functional.layer_norm(
+            x_288,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_288 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_ = (None)
+        x_290 = x_289.permute(0, 3, 1, 2)
+        x_289 = None
+        gamma_39 = l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_159 = x_290 * gamma_39
+        x_290 = gamma_39 = None
+        x_291 = x_282 + mul_159
+        x_282 = mul_159 = None
+        x_292 = torch.conv2d(
+            x_291,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_20 = torch.functional.split(x_292, [1024, 1024, 5], 1)
+        x_292 = None
+        q_20 = split_20[0]
+        ctx_20 = split_20[1]
+        gates_20 = split_20[2]
+        split_20 = None
+        input_161 = torch.conv2d(
+            ctx_20,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_20 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_162 = torch._C._nn.gelu(input_161, approximate="none")
+        input_161 = None
+        getitem_163 = gates_20[(slice(None, None, None), slice(0, 1, None))]
+        mul_160 = input_162 * getitem_163
+        getitem_163 = None
+        ctx_all_100 = 0 + mul_160
+        mul_160 = None
+        input_163 = torch.conv2d(
+            input_162,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_162 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_164 = torch._C._nn.gelu(input_163, approximate="none")
+        input_163 = None
+        getitem_164 = gates_20[(slice(None, None, None), slice(1, 2, None))]
+        mul_161 = input_164 * getitem_164
+        getitem_164 = None
+        ctx_all_101 = ctx_all_100 + mul_161
+        ctx_all_100 = mul_161 = None
+        input_165 = torch.conv2d(
+            input_164,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_164 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_166 = torch._C._nn.gelu(input_165, approximate="none")
+        input_165 = None
+        getitem_165 = gates_20[(slice(None, None, None), slice(2, 3, None))]
+        mul_162 = input_166 * getitem_165
+        getitem_165 = None
+        ctx_all_102 = ctx_all_101 + mul_162
+        ctx_all_101 = mul_162 = None
+        input_167 = torch.conv2d(
+            input_166,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_166 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_168 = torch._C._nn.gelu(input_167, approximate="none")
+        input_167 = None
+        getitem_166 = gates_20[(slice(None, None, None), slice(3, 4, None))]
+        mul_163 = input_168 * getitem_166
+        getitem_166 = None
+        ctx_all_103 = ctx_all_102 + mul_163
+        ctx_all_102 = mul_163 = None
+        mean_20 = input_168.mean((2, 3), keepdim=True)
+        input_168 = None
+        ctx_global_20 = torch._C._nn.gelu(mean_20, approximate="none")
+        mean_20 = None
+        getitem_167 = gates_20[(slice(None, None, None), slice(4, None, None))]
+        gates_20 = None
+        mul_164 = ctx_global_20 * getitem_167
+        ctx_global_20 = getitem_167 = None
+        ctx_all_104 = ctx_all_103 + mul_164
+        ctx_all_103 = mul_164 = None
+        conv2d_188 = torch.conv2d(
+            ctx_all_104,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_104 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_60 = q_20 * conv2d_188
+        q_20 = conv2d_188 = None
+        x_out_61 = torch.conv2d(
+            x_out_60,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_60 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_62 = torch.nn.functional.dropout(x_out_61, 0.0, False, False)
+        x_out_61 = None
+        x_293 = x_out_62.permute(0, 2, 3, 1)
+        x_out_62 = None
+        x_294 = torch.nn.functional.layer_norm(
+            x_293,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_293 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_ = (None)
+        x_295 = x_294.permute(0, 3, 1, 2)
+        x_294 = None
+        gamma_40 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_166 = x_295 * gamma_40
+        x_295 = gamma_40 = None
+        x_296 = x_291 + mul_166
+        x_291 = mul_166 = None
+        x_297 = torch.conv2d(
+            x_296,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_298 = torch._C._nn.gelu(x_297, approximate="none")
+        x_297 = None
+        x_299 = torch.nn.functional.dropout(x_298, 0.0, False, False)
+        x_298 = None
+        x_300 = torch.conv2d(
+            x_299,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_299 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_301 = torch.nn.functional.dropout(x_300, 0.0, False, False)
+        x_300 = None
+        x_302 = x_301.permute(0, 2, 3, 1)
+        x_301 = None
+        x_303 = torch.nn.functional.layer_norm(
+            x_302,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_302 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_ = (None)
+        x_304 = x_303.permute(0, 3, 1, 2)
+        x_303 = None
+        gamma_41 = l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_167 = x_304 * gamma_41
+        x_304 = gamma_41 = None
+        x_305 = x_296 + mul_167
+        x_296 = mul_167 = None
+        x_306 = torch.conv2d(
+            x_305,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_21 = torch.functional.split(x_306, [1024, 1024, 5], 1)
+        x_306 = None
+        q_21 = split_21[0]
+        ctx_21 = split_21[1]
+        gates_21 = split_21[2]
+        split_21 = None
+        input_169 = torch.conv2d(
+            ctx_21,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        ctx_21 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_170 = torch._C._nn.gelu(input_169, approximate="none")
+        input_169 = None
+        getitem_171 = gates_21[(slice(None, None, None), slice(0, 1, None))]
+        mul_168 = input_170 * getitem_171
+        getitem_171 = None
+        ctx_all_105 = 0 + mul_168
+        mul_168 = None
+        input_171 = torch.conv2d(
+            input_170,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1024,
+        )
+        input_170 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_172 = torch._C._nn.gelu(input_171, approximate="none")
+        input_171 = None
+        getitem_172 = gates_21[(slice(None, None, None), slice(1, 2, None))]
+        mul_169 = input_172 * getitem_172
+        getitem_172 = None
+        ctx_all_106 = ctx_all_105 + mul_169
+        ctx_all_105 = mul_169 = None
+        input_173 = torch.conv2d(
+            input_172,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            1024,
+        )
+        input_172 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_174 = torch._C._nn.gelu(input_173, approximate="none")
+        input_173 = None
+        getitem_173 = gates_21[(slice(None, None, None), slice(2, 3, None))]
+        mul_170 = input_174 * getitem_173
+        getitem_173 = None
+        ctx_all_107 = ctx_all_106 + mul_170
+        ctx_all_106 = mul_170 = None
+        input_175 = torch.conv2d(
+            input_174,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            1024,
+        )
+        input_174 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_176 = torch._C._nn.gelu(input_175, approximate="none")
+        input_175 = None
+        getitem_174 = gates_21[(slice(None, None, None), slice(3, 4, None))]
+        mul_171 = input_176 * getitem_174
+        getitem_174 = None
+        ctx_all_108 = ctx_all_107 + mul_171
+        ctx_all_107 = mul_171 = None
+        mean_21 = input_176.mean((2, 3), keepdim=True)
+        input_176 = None
+        ctx_global_21 = torch._C._nn.gelu(mean_21, approximate="none")
+        mean_21 = None
+        getitem_175 = gates_21[(slice(None, None, None), slice(4, None, None))]
+        gates_21 = None
+        mul_172 = ctx_global_21 * getitem_175
+        ctx_global_21 = getitem_175 = None
+        ctx_all_109 = ctx_all_108 + mul_172
+        ctx_all_108 = mul_172 = None
+        conv2d_197 = torch.conv2d(
+            ctx_all_109,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_109 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_63 = q_21 * conv2d_197
+        q_21 = conv2d_197 = None
+        x_out_64 = torch.conv2d(
+            x_out_63,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_63 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_65 = torch.nn.functional.dropout(x_out_64, 0.0, False, False)
+        x_out_64 = None
+        x_307 = x_out_65.permute(0, 2, 3, 1)
+        x_out_65 = None
+        x_308 = torch.nn.functional.layer_norm(
+            x_307,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_307 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_ = (None)
+        x_309 = x_308.permute(0, 3, 1, 2)
+        x_308 = None
+        gamma_42 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_174 = x_309 * gamma_42
+        x_309 = gamma_42 = None
+        x_310 = x_305 + mul_174
+        x_305 = mul_174 = None
+        x_311 = torch.conv2d(
+            x_310,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_312 = torch._C._nn.gelu(x_311, approximate="none")
+        x_311 = None
+        x_313 = torch.nn.functional.dropout(x_312, 0.0, False, False)
+        x_312 = None
+        x_314 = torch.conv2d(
+            x_313,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_313 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_315 = torch.nn.functional.dropout(x_314, 0.0, False, False)
+        x_314 = None
+        x_316 = x_315.permute(0, 2, 3, 1)
+        x_315 = None
+        x_317 = torch.nn.functional.layer_norm(
+            x_316,
+            (1024,),
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_316 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_ = (None)
+        x_318 = x_317.permute(0, 3, 1, 2)
+        x_317 = None
+        gamma_43 = l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_175 = x_318 * gamma_43
+        x_318 = gamma_43 = None
+        x_319 = x_310 + mul_175
+        x_310 = mul_175 = None
+        x_320 = torch.conv2d(
+            x_319,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_319 = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_ = (None)
+        x_321 = x_320.permute(0, 2, 3, 1)
+        x_320 = None
+        x_322 = torch.nn.functional.layer_norm(
+            x_321,
+            (2048,),
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_321 = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_ = l_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_ = (None)
+        x_323 = x_322.permute(0, 3, 1, 2)
+        x_322 = None
+        x_324 = torch.conv2d(
+            x_323,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_22 = torch.functional.split(x_324, [2048, 2048, 5], 1)
+        x_324 = None
+        q_22 = split_22[0]
+        ctx_22 = split_22[1]
+        gates_22 = split_22[2]
+        split_22 = None
+        input_177 = torch.conv2d(
+            ctx_22,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2048,
+        )
+        ctx_22 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_178 = torch._C._nn.gelu(input_177, approximate="none")
+        input_177 = None
+        getitem_179 = gates_22[(slice(None, None, None), slice(0, 1, None))]
+        mul_176 = input_178 * getitem_179
+        getitem_179 = None
+        ctx_all_110 = 0 + mul_176
+        mul_176 = None
+        input_179 = torch.conv2d(
+            input_178,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2048,
+        )
+        input_178 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_180 = torch._C._nn.gelu(input_179, approximate="none")
+        input_179 = None
+        getitem_180 = gates_22[(slice(None, None, None), slice(1, 2, None))]
+        mul_177 = input_180 * getitem_180
+        getitem_180 = None
+        ctx_all_111 = ctx_all_110 + mul_177
+        ctx_all_110 = mul_177 = None
+        input_181 = torch.conv2d(
+            input_180,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            2048,
+        )
+        input_180 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_182 = torch._C._nn.gelu(input_181, approximate="none")
+        input_181 = None
+        getitem_181 = gates_22[(slice(None, None, None), slice(2, 3, None))]
+        mul_178 = input_182 * getitem_181
+        getitem_181 = None
+        ctx_all_112 = ctx_all_111 + mul_178
+        ctx_all_111 = mul_178 = None
+        input_183 = torch.conv2d(
+            input_182,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            2048,
+        )
+        input_182 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_184 = torch._C._nn.gelu(input_183, approximate="none")
+        input_183 = None
+        getitem_182 = gates_22[(slice(None, None, None), slice(3, 4, None))]
+        mul_179 = input_184 * getitem_182
+        getitem_182 = None
+        ctx_all_113 = ctx_all_112 + mul_179
+        ctx_all_112 = mul_179 = None
+        mean_22 = input_184.mean((2, 3), keepdim=True)
+        input_184 = None
+        ctx_global_22 = torch._C._nn.gelu(mean_22, approximate="none")
+        mean_22 = None
+        getitem_183 = gates_22[(slice(None, None, None), slice(4, None, None))]
+        gates_22 = None
+        mul_180 = ctx_global_22 * getitem_183
+        ctx_global_22 = getitem_183 = None
+        ctx_all_114 = ctx_all_113 + mul_180
+        ctx_all_113 = mul_180 = None
+        conv2d_207 = torch.conv2d(
+            ctx_all_114,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_114 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_66 = q_22 * conv2d_207
+        q_22 = conv2d_207 = None
+        x_out_67 = torch.conv2d(
+            x_out_66,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_66 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_68 = torch.nn.functional.dropout(x_out_67, 0.0, False, False)
+        x_out_67 = None
+        x_325 = x_out_68.permute(0, 2, 3, 1)
+        x_out_68 = None
+        x_326 = torch.nn.functional.layer_norm(
+            x_325,
+            (2048,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_325 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_ = (None)
+        x_327 = x_326.permute(0, 3, 1, 2)
+        x_326 = None
+        gamma_44 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_182 = x_327 * gamma_44
+        x_327 = gamma_44 = None
+        x_328 = x_323 + mul_182
+        x_323 = mul_182 = None
+        x_329 = torch.conv2d(
+            x_328,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_330 = torch._C._nn.gelu(x_329, approximate="none")
+        x_329 = None
+        x_331 = torch.nn.functional.dropout(x_330, 0.0, False, False)
+        x_330 = None
+        x_332 = torch.conv2d(
+            x_331,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_331 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_333 = torch.nn.functional.dropout(x_332, 0.0, False, False)
+        x_332 = None
+        x_334 = x_333.permute(0, 2, 3, 1)
+        x_333 = None
+        x_335 = torch.nn.functional.layer_norm(
+            x_334,
+            (2048,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_334 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_ = (None)
+        x_336 = x_335.permute(0, 3, 1, 2)
+        x_335 = None
+        gamma_45 = l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_183 = x_336 * gamma_45
+        x_336 = gamma_45 = None
+        x_337 = x_328 + mul_183
+        x_328 = mul_183 = None
+        x_338 = torch.conv2d(
+            x_337,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_ = (None)
+        split_23 = torch.functional.split(x_338, [2048, 2048, 5], 1)
+        x_338 = None
+        q_23 = split_23[0]
+        ctx_23 = split_23[1]
+        gates_23 = split_23[2]
+        split_23 = None
+        input_185 = torch.conv2d(
+            ctx_23,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2048,
+        )
+        ctx_23 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_ = (None)
+        input_186 = torch._C._nn.gelu(input_185, approximate="none")
+        input_185 = None
+        getitem_187 = gates_23[(slice(None, None, None), slice(0, 1, None))]
+        mul_184 = input_186 * getitem_187
+        getitem_187 = None
+        ctx_all_115 = 0 + mul_184
+        mul_184 = None
+        input_187 = torch.conv2d(
+            input_186,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2048,
+        )
+        input_186 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_ = (None)
+        input_188 = torch._C._nn.gelu(input_187, approximate="none")
+        input_187 = None
+        getitem_188 = gates_23[(slice(None, None, None), slice(1, 2, None))]
+        mul_185 = input_188 * getitem_188
+        getitem_188 = None
+        ctx_all_116 = ctx_all_115 + mul_185
+        ctx_all_115 = mul_185 = None
+        input_189 = torch.conv2d(
+            input_188,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (3, 3),
+            (1, 1),
+            2048,
+        )
+        input_188 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_ = (None)
+        input_190 = torch._C._nn.gelu(input_189, approximate="none")
+        input_189 = None
+        getitem_189 = gates_23[(slice(None, None, None), slice(2, 3, None))]
+        mul_186 = input_190 * getitem_189
+        getitem_189 = None
+        ctx_all_117 = ctx_all_116 + mul_186
+        ctx_all_116 = mul_186 = None
+        input_191 = torch.conv2d(
+            input_190,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (4, 4),
+            (1, 1),
+            2048,
+        )
+        input_190 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_ = (None)
+        input_192 = torch._C._nn.gelu(input_191, approximate="none")
+        input_191 = None
+        getitem_190 = gates_23[(slice(None, None, None), slice(3, 4, None))]
+        mul_187 = input_192 * getitem_190
+        getitem_190 = None
+        ctx_all_118 = ctx_all_117 + mul_187
+        ctx_all_117 = mul_187 = None
+        mean_23 = input_192.mean((2, 3), keepdim=True)
+        input_192 = None
+        ctx_global_23 = torch._C._nn.gelu(mean_23, approximate="none")
+        mean_23 = None
+        getitem_191 = gates_23[(slice(None, None, None), slice(4, None, None))]
+        gates_23 = None
+        mul_188 = ctx_global_23 * getitem_191
+        ctx_global_23 = getitem_191 = None
+        ctx_all_119 = ctx_all_118 + mul_188
+        ctx_all_118 = mul_188 = None
+        conv2d_216 = torch.conv2d(
+            ctx_all_119,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        ctx_all_119 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_ = (None)
+        x_out_69 = q_23 * conv2d_216
+        q_23 = conv2d_216 = None
+        x_out_70 = torch.conv2d(
+            x_out_69,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_out_69 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_ = (None)
+        x_out_71 = torch.nn.functional.dropout(x_out_70, 0.0, False, False)
+        x_out_70 = None
+        x_339 = x_out_71.permute(0, 2, 3, 1)
+        x_out_71 = None
+        x_340 = torch.nn.functional.layer_norm(
+            x_339,
+            (2048,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_,
+            1e-05,
+        )
+        x_339 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_ = (None)
+        x_341 = x_340.permute(0, 3, 1, 2)
+        x_340 = None
+        gamma_46 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_ = (
+            None
+        )
+        mul_190 = x_341 * gamma_46
+        x_341 = gamma_46 = None
+        x_342 = x_337 + mul_190
+        x_337 = mul_190 = None
+        x_343 = torch.conv2d(
+            x_342,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None)
+        x_344 = torch._C._nn.gelu(x_343, approximate="none")
+        x_343 = None
+        x_345 = torch.nn.functional.dropout(x_344, 0.0, False, False)
+        x_344 = None
+        x_346 = torch.conv2d(
+            x_345,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_345 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None)
+        x_347 = torch.nn.functional.dropout(x_346, 0.0, False, False)
+        x_346 = None
+        x_348 = x_347.permute(0, 2, 3, 1)
+        x_347 = None
+        x_349 = torch.nn.functional.layer_norm(
+            x_348,
+            (2048,),
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_,
+            l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_,
+            1e-05,
+        )
+        x_348 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_ = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_ = (None)
+        x_350 = x_349.permute(0, 3, 1, 2)
+        x_349 = None
+        gamma_47 = l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_.view(
+            1, -1, 1, 1
+        )
+        l_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_ = (
+            None
+        )
+        mul_191 = x_350 * gamma_47
+        x_350 = gamma_47 = None
+        x_351 = x_342 + mul_191
+        x_342 = mul_191 = None
+        x_352 = x_351.permute(0, 2, 3, 1)
+        x_351 = None
+        x_353 = torch.nn.functional.layer_norm(
+            x_352,
+            (2048,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        x_352 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_354 = x_353.permute(0, 3, 1, 2)
+        x_353 = None
+        x_355 = torch.nn.functional.adaptive_avg_pool2d(x_354, 1)
+        x_354 = None
+        x_356 = x_355.flatten(1, -1)
+        x_355 = None
+        x_357 = torch.nn.functional.dropout(x_356, 0.0, False, False)
+        x_356 = None
+        x_358 = torch._C._nn.linear(
+            x_357,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_357 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_358,)
diff --git a/samples/timm/focalnet_xlarge_fl4.ms_in22k/weight_meta.py b/samples/timm/focalnet_xlarge_fl4.ms_in22k/weight_meta.py
new file mode 100644
index 000000000..6135da80d
--- /dev/null
+++ b/samples/timm/focalnet_xlarge_fl4.ms_in22k/weight_meta.py
@@ -0,0 +1,5018 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [256, 3, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.227
+    std = 1.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_weight_:
+    name = "L_self_modules_stem_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_norm_parameters_bias_:
+    name = "L_self_modules_stem_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [517, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [517]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [256, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [517, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [517]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [256, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [256, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [1024, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_0_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_weight_"
+    shape = [512, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_downsample_modules_norm_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [1029, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [1029]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [512, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [1029, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [1029]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [512, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [512, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [512, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [2048, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [512, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_1_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_weight_"
+    shape = [1024, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_downsample_modules_norm_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_2_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_3_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_4_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_5_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_6_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_7_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_8_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_9_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_10_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_11_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_12_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_13_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_14_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_15_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_16_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_weight_"
+    shape = [2053, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_f_parameters_bias_"
+    shape = [2053]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [1024, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [1024, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [1024, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_h_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_modulation_modules_proj_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm1_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls1_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [4096, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [4096]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [1024, 4096, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_norm2_post_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_2_modules_blocks_modules_17_modules_ls2_parameters_gamma_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_weight_"
+    shape = [2048, 1024, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_proj_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_downsample_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_weight_"
+    shape = [4101, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_f_parameters_bias_"
+    shape = [4101]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [2048, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [2048, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [2048, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [2048, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_weight_"
+    shape = [2048, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_h_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_weight_"
+    shape = [2048, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_modulation_modules_proj_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm1_post_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls1_parameters_gamma_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [8192, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [8192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [2048, 8192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_norm2_post_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_0_modules_ls2_parameters_gamma_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_weight_"
+    shape = [4101, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_f_parameters_bias_"
+    shape = [4101]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_0_modules_0_parameters_weight_"
+    shape = [2048, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_1_modules_0_parameters_weight_"
+    shape = [2048, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_2_modules_0_parameters_weight_"
+    shape = [2048, 1, 7, 7]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_focal_layers_modules_3_modules_0_parameters_weight_"
+    shape = [2048, 1, 9, 9]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_weight_"
+    shape = [2048, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_h_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_weight_"
+    shape = [2048, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_modulation_modules_proj_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm1_post_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls1_parameters_gamma_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_"
+    shape = [8192, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_"
+    shape = [8192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_"
+    shape = [2048, 8192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_norm2_post_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_:
+    name = "L_self_modules_layers_modules_3_modules_blocks_modules_1_modules_ls2_parameters_gamma_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [21842, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [21842]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/gernet_l.idstcv_in1k/graph_hash.txt b/samples/timm/gernet_l.idstcv_in1k/graph_hash.txt
new file mode 100644
index 000000000..c794ca01d
--- /dev/null
+++ b/samples/timm/gernet_l.idstcv_in1k/graph_hash.txt
@@ -0,0 +1 @@
+ced0f4ae0dbf407d5a1a9e2646ce6eb2c061862264d46e02e0fdeafbe60ef621
\ No newline at end of file
diff --git a/samples/timm/gernet_l.idstcv_in1k/graph_net.json b/samples/timm/gernet_l.idstcv_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/gernet_l.idstcv_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/gernet_l.idstcv_in1k/input_meta.py b/samples/timm/gernet_l.idstcv_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/gernet_l.idstcv_in1k/input_tensor_constraints.py b/samples/timm/gernet_l.idstcv_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/gernet_l.idstcv_in1k/model.py b/samples/timm/gernet_l.idstcv_in1k/model.py
new file mode 100644
index 000000000..940bcb9ac
--- /dev/null
+++ b/samples/timm/gernet_l.idstcv_in1k/model.py
@@ -0,0 +1,2010 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_final_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_final_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_bn_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_final_conv_modules_conv_parameters_weight_ = (
+            L_self_modules_final_conv_modules_conv_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_bn_buffers_running_mean_ = (
+            L_self_modules_final_conv_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_final_conv_modules_bn_buffers_running_var_ = (
+            L_self_modules_final_conv_modules_bn_buffers_running_var_
+        )
+        l_self_modules_final_conv_modules_bn_parameters_weight_ = (
+            L_self_modules_final_conv_modules_bn_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_bn_parameters_bias_ = (
+            L_self_modules_final_conv_modules_bn_parameters_bias_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = (None)
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_8 = torch.conv2d(
+            x_2,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_10 = x_7 + x_9
+        x_7 = x_9 = None
+        input_1 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        x_11 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = (None)
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_16 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_1 = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_18 = x_15 + x_17
+        x_15 = x_17 = None
+        input_2 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_19 = torch.conv2d(
+            input_2,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_ = (None)
+        x_21 = torch.nn.functional.relu(x_20, inplace=True)
+        x_20 = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_24 = x_23 + input_2
+        x_23 = input_2 = None
+        input_3 = torch.nn.functional.relu(x_24, inplace=True)
+        x_24 = None
+        x_25 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_33 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_34 = torch.nn.functional.batch_norm(
+            x_33,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_33 = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_35 = x_32 + x_34
+        x_32 = x_34 = None
+        input_4 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        x_36 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_44 = x_43 + input_4
+        x_43 = input_4 = None
+        input_5 = torch.nn.functional.relu(x_44, inplace=True)
+        x_44 = None
+        x_45 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_47 = torch.nn.functional.relu(x_46, inplace=True)
+        x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_47 = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_50 = torch.nn.functional.relu(x_49, inplace=True)
+        x_49 = None
+        x_51 = torch.conv2d(
+            x_50,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_50 = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_52 = torch.nn.functional.batch_norm(
+            x_51,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_51 = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_53 = x_52 + input_5
+        x_52 = input_5 = None
+        input_6 = torch.nn.functional.relu(x_53, inplace=True)
+        x_53 = None
+        x_54 = torch.conv2d(
+            input_6,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_55 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_54 = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.relu(x_55, inplace=True)
+        x_55 = None
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_59 = torch.nn.functional.relu(x_58, inplace=True)
+        x_58 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_59 = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_62 = x_61 + input_6
+        x_61 = input_6 = None
+        input_7 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        x_63 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_64 = torch.nn.functional.batch_norm(
+            x_63,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_63 = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_65 = torch.nn.functional.relu(x_64, inplace=True)
+        x_64 = None
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_65 = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_68 = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_71 = x_70 + input_7
+        x_70 = input_7 = None
+        input_8 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_72 = torch.conv2d(
+            input_8,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_77 = torch.nn.functional.relu(x_76, inplace=True)
+        x_76 = None
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_77 = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_80 = x_79 + input_8
+        x_79 = input_8 = None
+        input_9 = torch.nn.functional.relu(x_80, inplace=True)
+        x_80 = None
+        x_81 = torch.conv2d(
+            input_9,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_82 = torch.nn.functional.batch_norm(
+            x_81,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_81 = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_83 = torch.nn.functional.relu(x_82, inplace=True)
+        x_82 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_83 = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_86 = torch.nn.functional.relu(x_85, inplace=True)
+        x_85 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_89 = torch.conv2d(
+            input_9,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_91 = x_88 + x_90
+        x_88 = x_90 = None
+        input_10 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        x_92 = torch.conv2d(
+            input_10,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=True)
+        x_93 = None
+        x_95 = torch.conv2d(
+            x_94,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_94 = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_96 = torch.nn.functional.batch_norm(
+            x_95,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_95 = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_97 = torch.nn.functional.relu(x_96, inplace=True)
+        x_96 = None
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_97 = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_100 = x_99 + input_10
+        x_99 = input_10 = None
+        input_11 = torch.nn.functional.relu(x_100, inplace=True)
+        x_100 = None
+        x_101 = torch.conv2d(
+            input_11,
+            l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_103 = torch.nn.functional.relu(x_102, inplace=True)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_103 = l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_106 = torch.nn.functional.relu(x_105, inplace=True)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_109 = x_108 + input_11
+        x_108 = input_11 = None
+        input_12 = torch.nn.functional.relu(x_109, inplace=True)
+        x_109 = None
+        x_110 = torch.conv2d(
+            input_12,
+            l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_112 = l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_115 = torch.nn.functional.relu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_115 = l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_118 = x_117 + input_12
+        x_117 = input_12 = None
+        input_13 = torch.nn.functional.relu(x_118, inplace=True)
+        x_118 = None
+        x_119 = torch.conv2d(
+            input_13,
+            l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_121 = torch.nn.functional.relu(x_120, inplace=True)
+        x_120 = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_121 = l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_123 = torch.nn.functional.batch_norm(
+            x_122,
+            l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_122 = l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.relu(x_123, inplace=True)
+        x_123 = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_127 = x_126 + input_13
+        x_126 = input_13 = None
+        input_14 = torch.nn.functional.relu(x_127, inplace=True)
+        x_127 = None
+        x_128 = torch.conv2d(
+            input_14,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_130 = torch.nn.functional.relu(x_129, inplace=True)
+        x_129 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_130 = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_133 = torch.nn.functional.relu(x_132, inplace=True)
+        x_132 = None
+        x_134 = torch.conv2d(
+            x_133,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_133 = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_135 = torch.nn.functional.batch_norm(
+            x_134,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_134 = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_136 = x_135 + input_14
+        x_135 = input_14 = None
+        input_15 = torch.nn.functional.relu(x_136, inplace=True)
+        x_136 = None
+        x_137 = torch.conv2d(
+            input_15,
+            l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_138 = torch.nn.functional.batch_norm(
+            x_137,
+            l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_137 = l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_139 = torch.nn.functional.relu(x_138, inplace=True)
+        x_138 = None
+        x_140 = torch.conv2d(
+            x_139,
+            l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_139 = l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_141 = torch.nn.functional.batch_norm(
+            x_140,
+            l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_140 = l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_142 = torch.nn.functional.relu(x_141, inplace=True)
+        x_141 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_142 = l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_143 = l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_145 = x_144 + input_15
+        x_144 = input_15 = None
+        input_16 = torch.nn.functional.relu(x_145, inplace=True)
+        x_145 = None
+        x_146 = torch.conv2d(
+            input_16,
+            l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_148 = torch.nn.functional.relu(x_147, inplace=True)
+        x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_148 = l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_151 = torch.nn.functional.relu(x_150, inplace=True)
+        x_150 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_151 = l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_154 = x_153 + input_16
+        x_153 = input_16 = None
+        input_17 = torch.nn.functional.relu(x_154, inplace=True)
+        x_154 = None
+        x_155 = torch.conv2d(
+            input_17,
+            l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_156 = torch.nn.functional.batch_norm(
+            x_155,
+            l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_155 = l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_157 = torch.nn.functional.relu(x_156, inplace=True)
+        x_156 = None
+        x_158 = torch.conv2d(
+            x_157,
+            l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_157 = l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_159 = torch.nn.functional.batch_norm(
+            x_158,
+            l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_158 = l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_160 = torch.nn.functional.relu(x_159, inplace=True)
+        x_159 = None
+        x_161 = torch.conv2d(
+            x_160,
+            l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_160 = l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_162 = torch.nn.functional.batch_norm(
+            x_161,
+            l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_161 = l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_163 = x_162 + input_17
+        x_162 = input_17 = None
+        input_18 = torch.nn.functional.relu(x_163, inplace=True)
+        x_163 = None
+        x_164 = torch.conv2d(
+            input_18,
+            l_self_modules_final_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_18 = l_self_modules_final_conv_modules_conv_parameters_weight_ = None
+        x_165 = torch.nn.functional.batch_norm(
+            x_164,
+            l_self_modules_final_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_final_conv_modules_bn_buffers_running_var_,
+            l_self_modules_final_conv_modules_bn_parameters_weight_,
+            l_self_modules_final_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_164 = (
+            l_self_modules_final_conv_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_final_conv_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_final_conv_modules_bn_parameters_weight_
+        ) = l_self_modules_final_conv_modules_bn_parameters_bias_ = None
+        x_166 = torch.nn.functional.relu(x_165, inplace=True)
+        x_165 = None
+        x_167 = torch.nn.functional.adaptive_avg_pool2d(x_166, 1)
+        x_166 = None
+        x_168 = x_167.flatten(1, -1)
+        x_167 = None
+        x_169 = torch.nn.functional.dropout(x_168, 0.0, False, False)
+        x_168 = None
+        x_170 = torch._C._nn.linear(
+            x_169,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_169 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_170,)
diff --git a/samples/timm/gernet_l.idstcv_in1k/weight_meta.py b/samples/timm/gernet_l.idstcv_in1k/weight_meta.py
new file mode 100644
index 000000000..da3b51140
--- /dev/null
+++ b/samples/timm/gernet_l.idstcv_in1k/weight_meta.py
@@ -0,0 +1,2888 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_"
+    shape = [128, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [128, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.127
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_"
+    shape = [192, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [192, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [640, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.467
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [640, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.476
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.466
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_parameters_weight_"
+    shape = [2560, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_final_conv_modules_bn_buffers_running_mean_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_final_conv_modules_bn_buffers_running_var_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_bn_parameters_weight_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_bn_parameters_bias_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/gernet_m.idstcv_in1k/graph_hash.txt b/samples/timm/gernet_m.idstcv_in1k/graph_hash.txt
new file mode 100644
index 000000000..19909850c
--- /dev/null
+++ b/samples/timm/gernet_m.idstcv_in1k/graph_hash.txt
@@ -0,0 +1 @@
+7dc097fa0f516dbe10b9b228bb8992a59ed25b37ea53794f2dbb77ceecd40105
\ No newline at end of file
diff --git a/samples/timm/gernet_m.idstcv_in1k/graph_net.json b/samples/timm/gernet_m.idstcv_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/gernet_m.idstcv_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/gernet_m.idstcv_in1k/input_meta.py b/samples/timm/gernet_m.idstcv_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/gernet_m.idstcv_in1k/input_tensor_constraints.py b/samples/timm/gernet_m.idstcv_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/gernet_m.idstcv_in1k/model.py b/samples/timm/gernet_m.idstcv_in1k/model.py
new file mode 100644
index 000000000..7e94e1bc0
--- /dev/null
+++ b/samples/timm/gernet_m.idstcv_in1k/model.py
@@ -0,0 +1,1598 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_final_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_final_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_bn_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_final_conv_modules_conv_parameters_weight_ = (
+            L_self_modules_final_conv_modules_conv_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_bn_buffers_running_mean_ = (
+            L_self_modules_final_conv_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_final_conv_modules_bn_buffers_running_var_ = (
+            L_self_modules_final_conv_modules_bn_buffers_running_var_
+        )
+        l_self_modules_final_conv_modules_bn_parameters_weight_ = (
+            L_self_modules_final_conv_modules_bn_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_bn_parameters_bias_ = (
+            L_self_modules_final_conv_modules_bn_parameters_bias_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = (None)
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_8 = torch.conv2d(
+            x_2,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_10 = x_7 + x_9
+        x_7 = x_9 = None
+        input_1 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        x_11 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = (None)
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_16 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_1 = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_18 = x_15 + x_17
+        x_15 = x_17 = None
+        input_2 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_19 = torch.conv2d(
+            input_2,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_ = (None)
+        x_21 = torch.nn.functional.relu(x_20, inplace=True)
+        x_20 = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_24 = x_23 + input_2
+        x_23 = input_2 = None
+        input_3 = torch.nn.functional.relu(x_24, inplace=True)
+        x_24 = None
+        x_25 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.relu(x_29, inplace=True)
+        x_29 = None
+        x_31 = torch.conv2d(
+            x_30,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_30 = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_33 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_3 = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_34 = torch.nn.functional.batch_norm(
+            x_33,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_33 = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_35 = x_32 + x_34
+        x_32 = x_34 = None
+        input_4 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        x_36 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_42 = torch.conv2d(
+            x_41,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_41 = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_44 = x_43 + input_4
+        x_43 = input_4 = None
+        input_5 = torch.nn.functional.relu(x_44, inplace=True)
+        x_44 = None
+        x_45 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_47 = torch.nn.functional.relu(x_46, inplace=True)
+        x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_47 = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_50 = torch.nn.functional.relu(x_49, inplace=True)
+        x_49 = None
+        x_51 = torch.conv2d(
+            x_50,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_50 = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_52 = torch.nn.functional.batch_norm(
+            x_51,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_51 = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_53 = x_52 + input_5
+        x_52 = input_5 = None
+        input_6 = torch.nn.functional.relu(x_53, inplace=True)
+        x_53 = None
+        x_54 = torch.conv2d(
+            input_6,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_55 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_54 = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.relu(x_55, inplace=True)
+        x_55 = None
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_59 = torch.nn.functional.relu(x_58, inplace=True)
+        x_58 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_59 = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_62 = x_61 + input_6
+        x_61 = input_6 = None
+        input_7 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        x_63 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_64 = torch.nn.functional.batch_norm(
+            x_63,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_63 = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_65 = torch.nn.functional.relu(x_64, inplace=True)
+        x_64 = None
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_65 = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_68 = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_71 = x_70 + input_7
+        x_70 = input_7 = None
+        input_8 = torch.nn.functional.relu(x_71, inplace=True)
+        x_71 = None
+        x_72 = torch.conv2d(
+            input_8,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_77 = torch.nn.functional.relu(x_76, inplace=True)
+        x_76 = None
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_77 = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_80 = x_79 + input_8
+        x_79 = input_8 = None
+        input_9 = torch.nn.functional.relu(x_80, inplace=True)
+        x_80 = None
+        x_81 = torch.conv2d(
+            input_9,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_82 = torch.nn.functional.batch_norm(
+            x_81,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_81 = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_83 = torch.nn.functional.relu(x_82, inplace=True)
+        x_82 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_83 = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_86 = torch.nn.functional.relu(x_85, inplace=True)
+        x_85 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_89 = torch.conv2d(
+            input_9,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_9 = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_91 = x_88 + x_90
+        x_88 = x_90 = None
+        input_10 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        x_92 = torch.conv2d(
+            input_10,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=True)
+        x_93 = None
+        x_95 = torch.conv2d(
+            x_94,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_94 = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_96 = torch.nn.functional.batch_norm(
+            x_95,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_95 = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_97 = torch.nn.functional.relu(x_96, inplace=True)
+        x_96 = None
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_97 = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_100 = x_99 + input_10
+        x_99 = input_10 = None
+        input_11 = torch.nn.functional.relu(x_100, inplace=True)
+        x_100 = None
+        x_101 = torch.conv2d(
+            input_11,
+            l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_103 = torch.nn.functional.relu(x_102, inplace=True)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_103 = l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_106 = torch.nn.functional.relu(x_105, inplace=True)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_106 = l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_109 = x_108 + input_11
+        x_108 = input_11 = None
+        input_12 = torch.nn.functional.relu(x_109, inplace=True)
+        x_109 = None
+        x_110 = torch.conv2d(
+            input_12,
+            l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_112 = l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_115 = torch.nn.functional.relu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_115 = l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_118 = x_117 + input_12
+        x_117 = input_12 = None
+        input_13 = torch.nn.functional.relu(x_118, inplace=True)
+        x_118 = None
+        x_119 = torch.conv2d(
+            input_13,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_121 = torch.nn.functional.relu(x_120, inplace=True)
+        x_120 = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1920,
+        )
+        x_121 = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_123 = torch.nn.functional.batch_norm(
+            x_122,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_122 = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_124 = torch.nn.functional.relu(x_123, inplace=True)
+        x_123 = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_127 = x_126 + input_13
+        x_126 = input_13 = None
+        input_14 = torch.nn.functional.relu(x_127, inplace=True)
+        x_127 = None
+        x_128 = torch.conv2d(
+            input_14,
+            l_self_modules_final_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_14 = l_self_modules_final_conv_modules_conv_parameters_weight_ = None
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_final_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_final_conv_modules_bn_buffers_running_var_,
+            l_self_modules_final_conv_modules_bn_parameters_weight_,
+            l_self_modules_final_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = (
+            l_self_modules_final_conv_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_final_conv_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_final_conv_modules_bn_parameters_weight_
+        ) = l_self_modules_final_conv_modules_bn_parameters_bias_ = None
+        x_130 = torch.nn.functional.relu(x_129, inplace=True)
+        x_129 = None
+        x_131 = torch.nn.functional.adaptive_avg_pool2d(x_130, 1)
+        x_130 = None
+        x_132 = x_131.flatten(1, -1)
+        x_131 = None
+        x_133 = torch.nn.functional.dropout(x_132, 0.0, False, False)
+        x_132 = None
+        x_134 = torch._C._nn.linear(
+            x_133,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_133 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_134,)
diff --git a/samples/timm/gernet_m.idstcv_in1k/weight_meta.py b/samples/timm/gernet_m.idstcv_in1k/weight_meta.py
new file mode 100644
index 000000000..eecc73d41
--- /dev/null
+++ b/samples/timm/gernet_m.idstcv_in1k/weight_meta.py
@@ -0,0 +1,2288 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.080
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.227
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_"
+    shape = [128, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [128, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.123
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_"
+    shape = [192, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [192, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [640, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [160, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [640, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1920, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1920, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [640, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_parameters_weight_"
+    shape = [2560, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_final_conv_modules_bn_buffers_running_mean_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_final_conv_modules_bn_buffers_running_var_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_bn_parameters_weight_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_bn_parameters_bias_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 2560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/gernet_s.idstcv_in1k/graph_hash.txt b/samples/timm/gernet_s.idstcv_in1k/graph_hash.txt
new file mode 100644
index 000000000..730ac8af4
--- /dev/null
+++ b/samples/timm/gernet_s.idstcv_in1k/graph_hash.txt
@@ -0,0 +1 @@
+fbc4a260d228bca65a04ecada26ddac94ec872cbd928c0566c8d7d2e82854021
\ No newline at end of file
diff --git a/samples/timm/gernet_s.idstcv_in1k/graph_net.json b/samples/timm/gernet_s.idstcv_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/gernet_s.idstcv_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/gernet_s.idstcv_in1k/input_meta.py b/samples/timm/gernet_s.idstcv_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/gernet_s.idstcv_in1k/input_tensor_constraints.py b/samples/timm/gernet_s.idstcv_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/gernet_s.idstcv_in1k/model.py b/samples/timm/gernet_s.idstcv_in1k/model.py
new file mode 100644
index 000000000..c44e9ff72
--- /dev/null
+++ b/samples/timm/gernet_s.idstcv_in1k/model.py
@@ -0,0 +1,1596 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_final_conv_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_final_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_final_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_bn_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_conv_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_weight_ = L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_bias_ = L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_bias_
+        l_self_modules_final_conv_modules_conv_parameters_weight_ = (
+            L_self_modules_final_conv_modules_conv_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_bn_buffers_running_mean_ = (
+            L_self_modules_final_conv_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_final_conv_modules_bn_buffers_running_var_ = (
+            L_self_modules_final_conv_modules_bn_buffers_running_var_
+        )
+        l_self_modules_final_conv_modules_bn_parameters_weight_ = (
+            L_self_modules_final_conv_modules_bn_parameters_weight_
+        )
+        l_self_modules_final_conv_modules_bn_parameters_bias_ = (
+            L_self_modules_final_conv_modules_bn_parameters_bias_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = (None)
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_8 = torch.conv2d(
+            x_2,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_10 = x_7 + x_9
+        x_7 = x_9 = None
+        input_1 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        x_11 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_ = (None)
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_16 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_1 = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_18 = x_15 + x_17
+        x_15 = x_17 = None
+        input_2 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_19 = torch.conv2d(
+            input_2,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_ = (None)
+        x_21 = torch.nn.functional.relu(x_20, inplace=True)
+        x_20 = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_24 = x_23 + input_2
+        x_23 = input_2 = None
+        input_3 = torch.nn.functional.relu(x_24, inplace=True)
+        x_24 = None
+        x_25 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_bias_ = (None)
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_27 = l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_30 = x_29 + input_3
+        x_29 = input_3 = None
+        input_4 = torch.nn.functional.relu(x_30, inplace=True)
+        x_30 = None
+        x_31 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_32 = torch.nn.functional.batch_norm(
+            x_31,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_31 = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_33 = torch.nn.functional.relu(x_32, inplace=True)
+        x_32 = None
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_33 = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        x_37 = torch.conv2d(
+            x_36,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_36 = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_38 = torch.nn.functional.batch_norm(
+            x_37,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_37 = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_39 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_4 = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_41 = x_38 + x_40
+        x_38 = x_40 = None
+        input_5 = torch.nn.functional.relu(x_41, inplace=True)
+        x_41 = None
+        x_42 = torch.conv2d(
+            input_5,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_43 = torch.nn.functional.batch_norm(
+            x_42,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_42 = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_44 = torch.nn.functional.relu(x_43, inplace=True)
+        x_43 = None
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_44 = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_47 = torch.nn.functional.relu(x_46, inplace=True)
+        x_46 = None
+        x_48 = torch.conv2d(
+            x_47,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_47 = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_49 = torch.nn.functional.batch_norm(
+            x_48,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_48 = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_50 = x_49 + input_5
+        x_49 = input_5 = None
+        input_6 = torch.nn.functional.relu(x_50, inplace=True)
+        x_50 = None
+        x_51 = torch.conv2d(
+            input_6,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_52 = torch.nn.functional.batch_norm(
+            x_51,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_51 = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_53 = torch.nn.functional.relu(x_52, inplace=True)
+        x_52 = None
+        x_54 = torch.conv2d(
+            x_53,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_53 = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_55 = torch.nn.functional.batch_norm(
+            x_54,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_54 = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.relu(x_55, inplace=True)
+        x_55 = None
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_59 = x_58 + input_6
+        x_58 = input_6 = None
+        input_7 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_60 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_62 = torch.nn.functional.relu(x_61, inplace=True)
+        x_61 = None
+        x_63 = torch.conv2d(
+            x_62,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_62 = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_64 = torch.nn.functional.batch_norm(
+            x_63,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_63 = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_65 = torch.nn.functional.relu(x_64, inplace=True)
+        x_64 = None
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_65 = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_68 = x_67 + input_7
+        x_67 = input_7 = None
+        input_8 = torch.nn.functional.relu(x_68, inplace=True)
+        x_68 = None
+        x_69 = torch.conv2d(
+            input_8,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_71 = torch.nn.functional.relu(x_70, inplace=True)
+        x_70 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_71 = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_74 = torch.nn.functional.relu(x_73, inplace=True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_77 = x_76 + input_8
+        x_76 = input_8 = None
+        input_9 = torch.nn.functional.relu(x_77, inplace=True)
+        x_77 = None
+        x_78 = torch.conv2d(
+            input_9,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.relu(x_79, inplace=True)
+        x_79 = None
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_80 = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_82 = torch.nn.functional.batch_norm(
+            x_81,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_81 = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_83 = torch.nn.functional.relu(x_82, inplace=True)
+        x_82 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_83 = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_86 = x_85 + input_9
+        x_85 = input_9 = None
+        input_10 = torch.nn.functional.relu(x_86, inplace=True)
+        x_86 = None
+        x_87 = torch.conv2d(
+            input_10,
+            l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_89 = torch.nn.functional.relu(x_88, inplace=True)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.relu(x_91, inplace=True)
+        x_91 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_94 = torch.nn.functional.batch_norm(
+            x_93,
+            l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_93 = l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_95 = x_94 + input_10
+        x_94 = input_10 = None
+        input_11 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_96 = torch.conv2d(
+            input_11,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.relu(x_97, inplace=True)
+        x_97 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1680,
+        )
+        x_98 = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_100 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_99 = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_101 = torch.nn.functional.relu(x_100, inplace=True)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_101 = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_104 = torch.conv2d(
+            input_11,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_11 = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_106 = x_103 + x_105
+        x_103 = x_105 = None
+        input_12 = torch.nn.functional.relu(x_106, inplace=True)
+        x_106 = None
+        x_107 = torch.conv2d(
+            input_12,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_109 = torch.nn.functional.relu(x_108, inplace=True)
+        x_108 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1680,
+        )
+        x_109 = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_112 = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_115 = x_114 + input_12
+        x_114 = input_12 = None
+        input_13 = torch.nn.functional.relu(x_115, inplace=True)
+        x_115 = None
+        x_116 = torch.conv2d(
+            input_13,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_ = (None)
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_118 = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_ = (None)
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_ = (None)
+        x_121 = torch.nn.functional.relu(x_120, inplace=True)
+        x_120 = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_121 = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_ = (None)
+        x_123 = torch.nn.functional.batch_norm(
+            x_122,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_122 = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_ = (None)
+        x_124 = torch.conv2d(
+            input_13,
+            l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_13 = l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_conv_parameters_weight_ = (None)
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_weight_ = l_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_bias_ = (None)
+        x_126 = x_123 + x_125
+        x_123 = x_125 = None
+        input_14 = torch.nn.functional.relu(x_126, inplace=True)
+        x_126 = None
+        x_127 = torch.conv2d(
+            input_14,
+            l_self_modules_final_conv_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_14 = l_self_modules_final_conv_modules_conv_parameters_weight_ = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_final_conv_modules_bn_buffers_running_mean_,
+            l_self_modules_final_conv_modules_bn_buffers_running_var_,
+            l_self_modules_final_conv_modules_bn_parameters_weight_,
+            l_self_modules_final_conv_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_final_conv_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_final_conv_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_final_conv_modules_bn_parameters_weight_
+        ) = l_self_modules_final_conv_modules_bn_parameters_bias_ = None
+        x_129 = torch.nn.functional.relu(x_128, inplace=True)
+        x_128 = None
+        x_130 = torch.nn.functional.adaptive_avg_pool2d(x_129, 1)
+        x_129 = None
+        x_131 = x_130.flatten(1, -1)
+        x_130 = None
+        x_132 = torch.nn.functional.dropout(x_131, 0.0, False, False)
+        x_131 = None
+        x_133 = torch._C._nn.linear(
+            x_132,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_132 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_133,)
diff --git a/samples/timm/gernet_s.idstcv_in1k/weight_meta.py b/samples/timm/gernet_s.idstcv_in1k/weight_meta.py
new file mode 100644
index 000000000..bfeb5cd52
--- /dev/null
+++ b/samples/timm/gernet_s.idstcv_in1k/weight_meta.py
@@ -0,0 +1,2288 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_conv_parameters_weight_"
+    shape = [13, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.130
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_bn_buffers_running_mean_"
+    shape = [13]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_bn_buffers_running_var_"
+    shape = [13]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_bn_parameters_weight_"
+    shape = [13]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_bn_parameters_bias_"
+    shape = [13]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_"
+    shape = [48, 13, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [48, 13, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_conv_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv1_kxk_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [48, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.202
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_conv_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv1_kxk_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_conv_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv1_kxk_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [96, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [384, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_2_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_3_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_4_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_5_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [96, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [384, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_6_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1680, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1680, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [560, 1680, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.060
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [560, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.060
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [1680, 560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [1680, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.467
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [1680]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [560, 1680, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.060
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_1_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [560]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_conv_parameters_weight_"
+    shape = [768, 560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv1_1x1_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_conv_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.466
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv2_kxk_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_conv_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_conv3_1x1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_conv_parameters_weight_"
+    shape = [256, 560, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_4_modules_0_modules_shortcut_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_conv_parameters_weight_"
+    shape = [1920, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_final_conv_modules_bn_buffers_running_mean_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_buffers_running_var_:
+    name = "L_self_modules_final_conv_modules_bn_buffers_running_var_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_parameters_weight_:
+    name = "L_self_modules_final_conv_modules_bn_parameters_weight_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_final_conv_modules_bn_parameters_bias_:
+    name = "L_self_modules_final_conv_modules_bn_parameters_bias_"
+    shape = [1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 1920]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/ghostnet_100.in1k/graph_hash.txt b/samples/timm/ghostnet_100.in1k/graph_hash.txt
new file mode 100644
index 000000000..f982faa8f
--- /dev/null
+++ b/samples/timm/ghostnet_100.in1k/graph_hash.txt
@@ -0,0 +1 @@
+1a42494b362612be847f41dd0b45f7832778904ae4ec68493c7b64e25107fee6
\ No newline at end of file
diff --git a/samples/timm/ghostnet_100.in1k/graph_net.json b/samples/timm/ghostnet_100.in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/ghostnet_100.in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/ghostnet_100.in1k/input_meta.py b/samples/timm/ghostnet_100.in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ghostnet_100.in1k/input_tensor_constraints.py b/samples/timm/ghostnet_100.in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/ghostnet_100.in1k/model.py b/samples/timm/ghostnet_100.in1k/model.py
new file mode 100644
index 000000000..6bb556c8c
--- /dev/null
+++ b/samples/timm/ghostnet_100.in1k/model.py
@@ -0,0 +1,3440 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_: torch.Tensor,
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+        L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_mean_ = L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_mean_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_0_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_2_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_2_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_mean_ = L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_mean_
+        l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_var_ = L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_var_
+        l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_mean_ = L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_mean_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_0_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_2_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_2_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_mean_ = L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_mean_
+        l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_var_ = L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_var_
+        l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_mean_ = L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_mean_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_0_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_2_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_2_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_mean_ = L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_mean_
+        l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_var_ = L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_var_
+        l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_2_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_2_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_weight_ = L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_bias_ = L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_mean_ = L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_mean_
+        l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_var_ = (
+            L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_0_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_bias_ = L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_2_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_2_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_mean_ = L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_mean_
+        l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_var_ = L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_var_
+        l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_weight_ = L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_bias_ = L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_
+        l_self_modules_blocks_modules_9_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_0_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_conv_head_parameters_bias_ = (
+            L_self_modules_conv_head_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        input_1 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_1 = l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_3 = torch.nn.functional.relu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            8,
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_4 = l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_6 = torch.nn.functional.relu(input_5, inplace=True)
+        input_5 = None
+        out = torch.cat([input_3, input_6], dim=1)
+        input_3 = input_6 = None
+        x_3 = out[
+            (
+                slice(None, None, None),
+                slice(None, 16, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out = None
+        input_7 = torch.conv2d(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_3 = l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_8 = torch.nn.functional.batch_norm(
+            input_7,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_7 = l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_9 = torch.conv2d(
+            input_8,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            8,
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_10 = torch.nn.functional.batch_norm(
+            input_9,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_9 = l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_1 = torch.cat([input_8, input_10], dim=1)
+        input_8 = input_10 = None
+        x_4 = out_1[
+            (
+                slice(None, None, None),
+                slice(None, 16, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_1 = None
+        x_4 += x_2
+        x_5 = x_4
+        x_4 = x_2 = None
+        input_11 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_12 = torch.nn.functional.batch_norm(
+            input_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_11 = l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_13 = torch.nn.functional.relu(input_12, inplace=True)
+        input_12 = None
+        input_14 = torch.conv2d(
+            input_13,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            24,
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_14 = l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_16 = torch.nn.functional.relu(input_15, inplace=True)
+        input_15 = None
+        out_2 = torch.cat([input_13, input_16], dim=1)
+        input_13 = input_16 = None
+        x_6 = out_2[
+            (
+                slice(None, None, None),
+                slice(None, 48, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_2 = None
+        x_7 = torch.conv2d(
+            x_6,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            48,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_8 = torch.nn.functional.batch_norm(
+            x_7,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_7 = l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_mean_ = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_bias_
+        ) = None
+        input_17 = torch.conv2d(
+            x_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_8 = l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_18 = torch.nn.functional.batch_norm(
+            input_17,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_17 = l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_19 = torch.conv2d(
+            input_18,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            12,
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_20 = torch.nn.functional.batch_norm(
+            input_19,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_19 = l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_3 = torch.cat([input_18, input_20], dim=1)
+        input_18 = input_20 = None
+        x_9 = out_3[
+            (
+                slice(None, None, None),
+                slice(None, 24, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_3 = None
+        input_21 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            16,
+        )
+        x_5 = l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_0_parameters_weight_ = (None)
+        input_22 = torch.nn.functional.batch_norm(
+            input_21,
+            l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_21 = l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_bias_ = (None)
+        input_23 = torch.conv2d(
+            input_22,
+            l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_22 = l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_2_parameters_weight_ = (None)
+        input_24 = torch.nn.functional.batch_norm(
+            input_23,
+            l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_23 = l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_mean_ = l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_var_ = l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_bias_ = (None)
+        x_9 += input_24
+        x_10 = x_9
+        x_9 = input_24 = None
+        input_25 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_26 = torch.nn.functional.batch_norm(
+            input_25,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_25 = l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_27 = torch.nn.functional.relu(input_26, inplace=True)
+        input_26 = None
+        input_28 = torch.conv2d(
+            input_27,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            36,
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_29 = torch.nn.functional.batch_norm(
+            input_28,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_28 = l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_30 = torch.nn.functional.relu(input_29, inplace=True)
+        input_29 = None
+        out_4 = torch.cat([input_27, input_30], dim=1)
+        input_27 = input_30 = None
+        x_11 = out_4[
+            (
+                slice(None, None, None),
+                slice(None, 72, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_4 = None
+        input_31 = torch.conv2d(
+            x_11,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_11 = l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_32 = torch.nn.functional.batch_norm(
+            input_31,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_31 = l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_33 = torch.conv2d(
+            input_32,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            12,
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_34 = torch.nn.functional.batch_norm(
+            input_33,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_33 = l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_5 = torch.cat([input_32, input_34], dim=1)
+        input_32 = input_34 = None
+        x_12 = out_5[
+            (
+                slice(None, None, None),
+                slice(None, 24, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_5 = None
+        x_12 += x_10
+        x_13 = x_12
+        x_12 = x_10 = None
+        input_35 = torch.conv2d(
+            x_13,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_36 = torch.nn.functional.batch_norm(
+            input_35,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_35 = l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_37 = torch.nn.functional.relu(input_36, inplace=True)
+        input_36 = None
+        input_38 = torch.conv2d(
+            input_37,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            36,
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_39 = torch.nn.functional.batch_norm(
+            input_38,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_38 = l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_40 = torch.nn.functional.relu(input_39, inplace=True)
+        input_39 = None
+        out_6 = torch.cat([input_37, input_40], dim=1)
+        input_37 = input_40 = None
+        x_14 = out_6[
+            (
+                slice(None, None, None),
+                slice(None, 72, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_6 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            72,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_mean_ = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_bias_
+        ) = None
+        x_se = x_16.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.relu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_17 = x_16 * hardsigmoid
+        x_16 = hardsigmoid = None
+        input_41 = torch.conv2d(
+            x_17,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_42 = torch.nn.functional.batch_norm(
+            input_41,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_41 = l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_43 = torch.conv2d(
+            input_42,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            20,
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_44 = torch.nn.functional.batch_norm(
+            input_43,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_43 = l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_7 = torch.cat([input_42, input_44], dim=1)
+        input_42 = input_44 = None
+        x_18 = out_7[
+            (
+                slice(None, None, None),
+                slice(None, 40, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_7 = None
+        input_45 = torch.conv2d(
+            x_13,
+            l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            24,
+        )
+        x_13 = l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_0_parameters_weight_ = (None)
+        input_46 = torch.nn.functional.batch_norm(
+            input_45,
+            l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_45 = l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_bias_ = (None)
+        input_47 = torch.conv2d(
+            input_46,
+            l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_46 = l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_2_parameters_weight_ = (None)
+        input_48 = torch.nn.functional.batch_norm(
+            input_47,
+            l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_47 = l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_mean_ = l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_var_ = l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_bias_ = (None)
+        x_18 += input_48
+        x_19 = x_18
+        x_18 = input_48 = None
+        input_49 = torch.conv2d(
+            x_19,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_50 = torch.nn.functional.batch_norm(
+            input_49,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_49 = l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_51 = torch.nn.functional.relu(input_50, inplace=True)
+        input_50 = None
+        input_52 = torch.conv2d(
+            input_51,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            60,
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_53 = torch.nn.functional.batch_norm(
+            input_52,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_52 = l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_54 = torch.nn.functional.relu(input_53, inplace=True)
+        input_53 = None
+        out_8 = torch.cat([input_51, input_54], dim=1)
+        input_51 = input_54 = None
+        x_20 = out_8[
+            (
+                slice(None, None, None),
+                slice(None, 120, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_8 = None
+        x_se_4 = x_20.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.relu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_21 = x_20 * hardsigmoid_1
+        x_20 = hardsigmoid_1 = None
+        input_55 = torch.conv2d(
+            x_21,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_21 = l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_56 = torch.nn.functional.batch_norm(
+            input_55,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_55 = l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_57 = torch.conv2d(
+            input_56,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            20,
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_58 = torch.nn.functional.batch_norm(
+            input_57,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_57 = l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_9 = torch.cat([input_56, input_58], dim=1)
+        input_56 = input_58 = None
+        x_22 = out_9[
+            (
+                slice(None, None, None),
+                slice(None, 40, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_9 = None
+        x_22 += x_19
+        x_23 = x_22
+        x_22 = x_19 = None
+        input_59 = torch.conv2d(
+            x_23,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_60 = torch.nn.functional.batch_norm(
+            input_59,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_59 = l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_61 = torch.nn.functional.relu(input_60, inplace=True)
+        input_60 = None
+        input_62 = torch.conv2d(
+            input_61,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            120,
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_63 = torch.nn.functional.batch_norm(
+            input_62,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_62 = l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_64 = torch.nn.functional.relu(input_63, inplace=True)
+        input_63 = None
+        out_10 = torch.cat([input_61, input_64], dim=1)
+        input_61 = input_64 = None
+        x_24 = out_10[
+            (
+                slice(None, None, None),
+                slice(None, 240, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_10 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_mean_ = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_bias_
+        ) = None
+        input_65 = torch.conv2d(
+            x_26,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_66 = torch.nn.functional.batch_norm(
+            input_65,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_65 = l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_67 = torch.conv2d(
+            input_66,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_68 = torch.nn.functional.batch_norm(
+            input_67,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_67 = l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_11 = torch.cat([input_66, input_68], dim=1)
+        input_66 = input_68 = None
+        x_27 = out_11[
+            (
+                slice(None, None, None),
+                slice(None, 80, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_11 = None
+        input_69 = torch.conv2d(
+            x_23,
+            l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        x_23 = l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_0_parameters_weight_ = (None)
+        input_70 = torch.nn.functional.batch_norm(
+            input_69,
+            l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_69 = l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_bias_ = (None)
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_70 = l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_2_parameters_weight_ = (None)
+        input_72 = torch.nn.functional.batch_norm(
+            input_71,
+            l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_71 = l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_mean_ = l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_var_ = l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_bias_ = (None)
+        x_27 += input_72
+        x_28 = x_27
+        x_27 = input_72 = None
+        input_73 = torch.conv2d(
+            x_28,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_74 = torch.nn.functional.batch_norm(
+            input_73,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_73 = l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_75 = torch.nn.functional.relu(input_74, inplace=True)
+        input_74 = None
+        input_76 = torch.conv2d(
+            input_75,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            100,
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_77 = torch.nn.functional.batch_norm(
+            input_76,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_76 = l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_78 = torch.nn.functional.relu(input_77, inplace=True)
+        input_77 = None
+        out_12 = torch.cat([input_75, input_78], dim=1)
+        input_75 = input_78 = None
+        x_29 = out_12[
+            (
+                slice(None, None, None),
+                slice(None, 200, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_12 = None
+        input_79 = torch.conv2d(
+            x_29,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_29 = l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_80 = torch.nn.functional.batch_norm(
+            input_79,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_79 = l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_81 = torch.conv2d(
+            input_80,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_82 = torch.nn.functional.batch_norm(
+            input_81,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_81 = l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_13 = torch.cat([input_80, input_82], dim=1)
+        input_80 = input_82 = None
+        x_30 = out_13[
+            (
+                slice(None, None, None),
+                slice(None, 80, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_13 = None
+        x_30 += x_28
+        x_31 = x_30
+        x_30 = x_28 = None
+        input_83 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_84 = torch.nn.functional.batch_norm(
+            input_83,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_83 = l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_85 = torch.nn.functional.relu(input_84, inplace=True)
+        input_84 = None
+        input_86 = torch.conv2d(
+            input_85,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            92,
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_87 = torch.nn.functional.batch_norm(
+            input_86,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_86 = l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_88 = torch.nn.functional.relu(input_87, inplace=True)
+        input_87 = None
+        out_14 = torch.cat([input_85, input_88], dim=1)
+        input_85 = input_88 = None
+        x_32 = out_14[
+            (
+                slice(None, None, None),
+                slice(None, 184, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_14 = None
+        input_89 = torch.conv2d(
+            x_32,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_90 = torch.nn.functional.batch_norm(
+            input_89,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_89 = l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_91 = torch.conv2d(
+            input_90,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_92 = torch.nn.functional.batch_norm(
+            input_91,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_91 = l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_15 = torch.cat([input_90, input_92], dim=1)
+        input_90 = input_92 = None
+        x_33 = out_15[
+            (
+                slice(None, None, None),
+                slice(None, 80, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_15 = None
+        x_33 += x_31
+        x_34 = x_33
+        x_33 = x_31 = None
+        input_93 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_94 = torch.nn.functional.batch_norm(
+            input_93,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_93 = l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_95 = torch.nn.functional.relu(input_94, inplace=True)
+        input_94 = None
+        input_96 = torch.conv2d(
+            input_95,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            92,
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_97 = torch.nn.functional.batch_norm(
+            input_96,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_96 = l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_98 = torch.nn.functional.relu(input_97, inplace=True)
+        input_97 = None
+        out_16 = torch.cat([input_95, input_98], dim=1)
+        input_95 = input_98 = None
+        x_35 = out_16[
+            (
+                slice(None, None, None),
+                slice(None, 184, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_16 = None
+        input_99 = torch.conv2d(
+            x_35,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_35 = l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_100 = torch.nn.functional.batch_norm(
+            input_99,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_99 = l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_101 = torch.conv2d(
+            input_100,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            40,
+        )
+        l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_102 = torch.nn.functional.batch_norm(
+            input_101,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_101 = l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_17 = torch.cat([input_100, input_102], dim=1)
+        input_100 = input_102 = None
+        x_36 = out_17[
+            (
+                slice(None, None, None),
+                slice(None, 80, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_17 = None
+        x_36 += x_34
+        x_37 = x_36
+        x_36 = x_34 = None
+        input_103 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_104 = torch.nn.functional.batch_norm(
+            input_103,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_103 = l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_105 = torch.nn.functional.relu(input_104, inplace=True)
+        input_104 = None
+        input_106 = torch.conv2d(
+            input_105,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_107 = torch.nn.functional.batch_norm(
+            input_106,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_106 = l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_108 = torch.nn.functional.relu(input_107, inplace=True)
+        input_107 = None
+        out_18 = torch.cat([input_105, input_108], dim=1)
+        input_105 = input_108 = None
+        x_38 = out_18[
+            (
+                slice(None, None, None),
+                slice(None, 480, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_18 = None
+        x_se_8 = x_38.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.relu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_11, False)
+        x_se_11 = None
+        x_39 = x_38 * hardsigmoid_2
+        x_38 = hardsigmoid_2 = None
+        input_109 = torch.conv2d(
+            x_39,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_39 = l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_110 = torch.nn.functional.batch_norm(
+            input_109,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_109 = l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_111 = torch.conv2d(
+            input_110,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            56,
+        )
+        l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_112 = torch.nn.functional.batch_norm(
+            input_111,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_111 = l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_19 = torch.cat([input_110, input_112], dim=1)
+        input_110 = input_112 = None
+        x_40 = out_19[
+            (
+                slice(None, None, None),
+                slice(None, 112, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_19 = None
+        input_113 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            80,
+        )
+        x_37 = l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_0_parameters_weight_ = (None)
+        input_114 = torch.nn.functional.batch_norm(
+            input_113,
+            l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_113 = l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_bias_ = (None)
+        input_115 = torch.conv2d(
+            input_114,
+            l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_114 = l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_2_parameters_weight_ = (None)
+        input_116 = torch.nn.functional.batch_norm(
+            input_115,
+            l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_115 = l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_weight_ = l_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_bias_ = (None)
+        x_40 += input_116
+        x_41 = x_40
+        x_40 = input_116 = None
+        input_117 = torch.conv2d(
+            x_41,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_118 = torch.nn.functional.batch_norm(
+            input_117,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_117 = l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_119 = torch.nn.functional.relu(input_118, inplace=True)
+        input_118 = None
+        input_120 = torch.conv2d(
+            input_119,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            336,
+        )
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_121 = torch.nn.functional.batch_norm(
+            input_120,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_120 = l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_122 = torch.nn.functional.relu(input_121, inplace=True)
+        input_121 = None
+        out_20 = torch.cat([input_119, input_122], dim=1)
+        input_119 = input_122 = None
+        x_42 = out_20[
+            (
+                slice(None, None, None),
+                slice(None, 672, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_20 = None
+        x_se_12 = x_42.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.relu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_15, False)
+        x_se_15 = None
+        x_43 = x_42 * hardsigmoid_3
+        x_42 = hardsigmoid_3 = None
+        input_123 = torch.conv2d(
+            x_43,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_124 = torch.nn.functional.batch_norm(
+            input_123,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_123 = l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_125 = torch.conv2d(
+            input_124,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            56,
+        )
+        l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_126 = torch.nn.functional.batch_norm(
+            input_125,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_125 = l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_21 = torch.cat([input_124, input_126], dim=1)
+        input_124 = input_126 = None
+        x_44 = out_21[
+            (
+                slice(None, None, None),
+                slice(None, 112, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_21 = None
+        x_44 += x_41
+        x_45 = x_44
+        x_44 = x_41 = None
+        input_127 = torch.conv2d(
+            x_45,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_128 = torch.nn.functional.batch_norm(
+            input_127,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_127 = l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_129 = torch.nn.functional.relu(input_128, inplace=True)
+        input_128 = None
+        input_130 = torch.conv2d(
+            input_129,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            336,
+        )
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_131 = torch.nn.functional.batch_norm(
+            input_130,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_130 = l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_132 = torch.nn.functional.relu(input_131, inplace=True)
+        input_131 = None
+        out_22 = torch.cat([input_129, input_132], dim=1)
+        input_129 = input_132 = None
+        x_46 = out_22[
+            (
+                slice(None, None, None),
+                slice(None, 672, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_22 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_blocks_modules_7_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_7_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_mean_,
+            l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_var_,
+            l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_mean_ = (
+            l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_bias_
+        ) = None
+        x_se_16 = x_48.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.relu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_4 = torch.nn.functional.hardsigmoid(x_se_19, False)
+        x_se_19 = None
+        x_49 = x_48 * hardsigmoid_4
+        x_48 = hardsigmoid_4 = None
+        input_133 = torch.conv2d(
+            x_49,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_134 = torch.nn.functional.batch_norm(
+            input_133,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_133 = l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_135 = torch.conv2d(
+            input_134,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            80,
+        )
+        l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_136 = torch.nn.functional.batch_norm(
+            input_135,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_135 = l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_23 = torch.cat([input_134, input_136], dim=1)
+        input_134 = input_136 = None
+        x_50 = out_23[
+            (
+                slice(None, None, None),
+                slice(None, 160, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_23 = None
+        input_137 = torch.conv2d(
+            x_45,
+            l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            112,
+        )
+        x_45 = l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_0_parameters_weight_ = (None)
+        input_138 = torch.nn.functional.batch_norm(
+            input_137,
+            l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_137 = l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_weight_ = l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_bias_ = (None)
+        input_139 = torch.conv2d(
+            input_138,
+            l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_2_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_138 = l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_2_parameters_weight_ = (None)
+        input_140 = torch.nn.functional.batch_norm(
+            input_139,
+            l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_mean_,
+            l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_var_,
+            l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_139 = l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_mean_ = l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_var_ = l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_weight_ = l_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_bias_ = (None)
+        x_50 += input_140
+        x_51 = x_50
+        x_50 = input_140 = None
+        input_141 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_142 = torch.nn.functional.batch_norm(
+            input_141,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_141 = l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_143 = torch.nn.functional.relu(input_142, inplace=True)
+        input_142 = None
+        input_144 = torch.conv2d(
+            input_143,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_145 = torch.nn.functional.batch_norm(
+            input_144,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_144 = l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_146 = torch.nn.functional.relu(input_145, inplace=True)
+        input_145 = None
+        out_24 = torch.cat([input_143, input_146], dim=1)
+        input_143 = input_146 = None
+        x_52 = out_24[
+            (
+                slice(None, None, None),
+                slice(None, 960, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_24 = None
+        input_147 = torch.conv2d(
+            x_52,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_148 = torch.nn.functional.batch_norm(
+            input_147,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_147 = l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_149 = torch.conv2d(
+            input_148,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            80,
+        )
+        l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_150 = torch.nn.functional.batch_norm(
+            input_149,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_149 = l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_25 = torch.cat([input_148, input_150], dim=1)
+        input_148 = input_150 = None
+        x_53 = out_25[
+            (
+                slice(None, None, None),
+                slice(None, 160, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_25 = None
+        x_53 += x_51
+        x_54 = x_53
+        x_53 = x_51 = None
+        input_151 = torch.conv2d(
+            x_54,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_152 = torch.nn.functional.batch_norm(
+            input_151,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_151 = l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_153 = torch.nn.functional.relu(input_152, inplace=True)
+        input_152 = None
+        input_154 = torch.conv2d(
+            input_153,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_155 = torch.nn.functional.batch_norm(
+            input_154,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_154 = l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_156 = torch.nn.functional.relu(input_155, inplace=True)
+        input_155 = None
+        out_26 = torch.cat([input_153, input_156], dim=1)
+        input_153 = input_156 = None
+        x_55 = out_26[
+            (
+                slice(None, None, None),
+                slice(None, 960, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_26 = None
+        x_se_20 = x_55.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.relu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_5 = torch.nn.functional.hardsigmoid(x_se_23, False)
+        x_se_23 = None
+        x_56 = x_55 * hardsigmoid_5
+        x_55 = hardsigmoid_5 = None
+        input_157 = torch.conv2d(
+            x_56,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_56 = l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_158 = torch.nn.functional.batch_norm(
+            input_157,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_157 = l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_159 = torch.conv2d(
+            input_158,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            80,
+        )
+        l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_160 = torch.nn.functional.batch_norm(
+            input_159,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_159 = l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_27 = torch.cat([input_158, input_160], dim=1)
+        input_158 = input_160 = None
+        x_57 = out_27[
+            (
+                slice(None, None, None),
+                slice(None, 160, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_27 = None
+        x_57 += x_54
+        x_58 = x_57
+        x_57 = x_54 = None
+        input_161 = torch.conv2d(
+            x_58,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_162 = torch.nn.functional.batch_norm(
+            input_161,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_161 = l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_163 = torch.nn.functional.relu(input_162, inplace=True)
+        input_162 = None
+        input_164 = torch.conv2d(
+            input_163,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_165 = torch.nn.functional.batch_norm(
+            input_164,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_164 = l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_166 = torch.nn.functional.relu(input_165, inplace=True)
+        input_165 = None
+        out_28 = torch.cat([input_163, input_166], dim=1)
+        input_163 = input_166 = None
+        x_59 = out_28[
+            (
+                slice(None, None, None),
+                slice(None, 960, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_28 = None
+        input_167 = torch.conv2d(
+            x_59,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_59 = l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_168 = torch.nn.functional.batch_norm(
+            input_167,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_167 = l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_169 = torch.conv2d(
+            input_168,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            80,
+        )
+        l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_170 = torch.nn.functional.batch_norm(
+            input_169,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_169 = l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_29 = torch.cat([input_168, input_170], dim=1)
+        input_168 = input_170 = None
+        x_60 = out_29[
+            (
+                slice(None, None, None),
+                slice(None, 160, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_29 = None
+        x_60 += x_58
+        x_61 = x_60
+        x_60 = x_58 = None
+        input_171 = torch.conv2d(
+            x_61,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_ = (
+            None
+        )
+        input_172 = torch.nn.functional.batch_norm(
+            input_171,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_171 = l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_173 = torch.nn.functional.relu(input_172, inplace=True)
+        input_172 = None
+        input_174 = torch.conv2d(
+            input_173,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_175 = torch.nn.functional.batch_norm(
+            input_174,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_174 = l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        input_176 = torch.nn.functional.relu(input_175, inplace=True)
+        input_175 = None
+        out_30 = torch.cat([input_173, input_176], dim=1)
+        input_173 = input_176 = None
+        x_62 = out_30[
+            (
+                slice(None, None, None),
+                slice(None, 960, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_30 = None
+        x_se_24 = x_62.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.relu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_6 = torch.nn.functional.hardsigmoid(x_se_27, False)
+        x_se_27 = None
+        x_63 = x_62 * hardsigmoid_6
+        x_62 = hardsigmoid_6 = None
+        input_177 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_63 = l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_ = (None)
+        input_178 = torch.nn.functional.batch_norm(
+            input_177,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_177 = l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_ = (None)
+        input_179 = torch.conv2d(
+            input_178,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            80,
+        )
+        l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_ = (
+            None
+        )
+        input_180 = torch.nn.functional.batch_norm(
+            input_179,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        input_179 = l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_ = (None)
+        out_31 = torch.cat([input_178, input_180], dim=1)
+        input_178 = input_180 = None
+        x_64 = out_31[
+            (
+                slice(None, None, None),
+                slice(None, 160, None),
+                slice(None, None, None),
+                slice(None, None, None),
+            )
+        ]
+        out_31 = None
+        x_64 += x_61
+        x_65 = x_64
+        x_64 = x_61 = None
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_blocks_modules_9_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_65 = (
+            l_self_modules_blocks_modules_9_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_68 = torch.nn.functional.relu(x_67, inplace=True)
+        x_67 = None
+        x_69 = torch.nn.functional.adaptive_avg_pool2d(x_68, 1)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_conv_head_parameters_weight_,
+            l_self_modules_conv_head_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_69 = (
+            l_self_modules_conv_head_parameters_weight_
+        ) = l_self_modules_conv_head_parameters_bias_ = None
+        x_71 = torch.nn.functional.relu(x_70, inplace=True)
+        x_70 = None
+        x_72 = x_71.flatten(1, -1)
+        x_71 = None
+        x_73 = torch.nn.functional.dropout(x_72, p=0.2, training=False)
+        x_72 = None
+        x_74 = torch._C._nn.linear(
+            x_73,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_73 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_74,)
diff --git a/samples/timm/ghostnet_100.in1k/weight_meta.py b/samples/timm/ghostnet_100.in1k/weight_meta.py
new file mode 100644
index 000000000..5ab187dde
--- /dev/null
+++ b/samples/timm/ghostnet_100.in1k/weight_meta.py
@@ -0,0 +1,4362 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [16, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [8, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [8, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.017
+    std = 0.197
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [8, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.012
+    std = 0.151
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [8, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [24, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.012
+    std = 0.140
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [24, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.040
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_mean_"
+    )
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_var_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_buffers_running_var_"
+    )
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn_dw_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [12, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [12, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.022
+    std = 0.188
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_0_parameters_weight_"
+    shape = [16, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_2_parameters_weight_"
+    shape = [24, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.143
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_shortcut_modules_3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [36, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.119
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [36, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [12, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [12, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [36, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.117
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [36, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.198
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [36]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_mean_"
+    )
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_var_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_buffers_running_var_"
+    )
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn_dw_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [20, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [72, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.131
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.013
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [20, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [20, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_0_parameters_weight_"
+    shape = [24, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_1_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_2_parameters_weight_"
+    shape = [40, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_shortcut_modules_3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [60, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.090
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [60, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [60]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.103
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [20, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [20, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.200
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [120, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.195
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_mean_"
+    )
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_var_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_buffers_running_var_"
+    )
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn_dw_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [40, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [40, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.201
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_0_parameters_weight_"
+    shape = [40, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.026
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_2_parameters_weight_"
+    shape = [80, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_shortcut_modules_3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [100, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [100]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [100]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [100]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [100]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [100, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.198
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [100]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [100]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [100]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [100]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [40, 200, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [40, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.188
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [92, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [92, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.195
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [40, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [40, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.020
+    std = 0.186
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [92, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [92, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [92]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [40, 184, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [40, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.025
+    std = 0.186
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [120, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [56, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [56, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.018
+    std = 0.195
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_0_parameters_weight_"
+    shape = [80, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_2_parameters_weight_"
+    shape = [112, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_3_modules_shortcut_modules_3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [336, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [56, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [56, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.186
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_4_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [336, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.116
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_mean_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_mean_"
+    )
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_var_:
+    name = (
+        "L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_buffers_running_var_"
+    )
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_bn_dw_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [80, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [80, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.016
+    std = 0.195
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_0_parameters_weight_"
+    shape = [112, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_1_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_2_parameters_weight_"
+    shape = [160, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_0_modules_shortcut_modules_3_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [80, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [80, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.185
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_0_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [240, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [80, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [80, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_1_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.193
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [80, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [80, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_2_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [480, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost1_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [240, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [960, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_0_parameters_weight_"
+    shape = [80, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_primary_conv_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_0_parameters_weight_"
+    shape = [80, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.187
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_3_modules_ghost2_modules_cheap_operation_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_0_modules_conv_parameters_weight_"
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_9_modules_0_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_0_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_bias_:
+    name = "L_self_modules_conv_head_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.016
+    data = None
diff --git a/samples/timm/gmixer_24_224.ra3_in1k/graph_hash.txt b/samples/timm/gmixer_24_224.ra3_in1k/graph_hash.txt
new file mode 100644
index 000000000..0a4aff951
--- /dev/null
+++ b/samples/timm/gmixer_24_224.ra3_in1k/graph_hash.txt
@@ -0,0 +1 @@
+dcb15687c7288f5b9057d644f6cec3eabe6d2e18d9888a1dd2177118df455784
\ No newline at end of file
diff --git a/samples/timm/gmixer_24_224.ra3_in1k/graph_net.json b/samples/timm/gmixer_24_224.ra3_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/gmixer_24_224.ra3_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/gmixer_24_224.ra3_in1k/input_meta.py b/samples/timm/gmixer_24_224.ra3_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/gmixer_24_224.ra3_in1k/input_tensor_constraints.py b/samples/timm/gmixer_24_224.ra3_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/gmixer_24_224.ra3_in1k/model.py b/samples/timm/gmixer_24_224.ra3_in1k/model.py
new file mode 100644
index 000000000..ab831c42b
--- /dev/null
+++ b/samples/timm/gmixer_24_224.ra3_in1k/model.py
@@ -0,0 +1,2704 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_x_ = L_x_
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_parameters_weight_ = L_self_modules_head_parameters_weight_
+        l_self_modules_head_parameters_bias_ = L_self_modules_head_parameters_bias_
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (16, 16),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        flatten = x.flatten(2)
+        x = None
+        x_1 = flatten.transpose(1, 2)
+        flatten = None
+        layer_norm = torch.nn.functional.layer_norm(
+            x_1,
+            (384,),
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm1_parameters_bias_
+        ) = None
+        transpose_1 = layer_norm.transpose(1, 2)
+        layer_norm = None
+        x_2 = torch._C._nn.linear(
+            transpose_1,
+            l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_1 = l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk = x_2.chunk(2, dim=-1)
+        x_2 = None
+        x1 = chunk[0]
+        x2 = chunk[1]
+        chunk = None
+        silu = torch.nn.functional.silu(x2, inplace=False)
+        x2 = None
+        x_3 = x1 * silu
+        x1 = silu = None
+        x_4 = torch.nn.functional.dropout(x_3, 0.0, False, False)
+        x_3 = None
+        x_5 = torch._C._nn.linear(
+            x_4,
+            l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_4 = l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_6 = torch.nn.functional.dropout(x_5, 0.0, False, False)
+        x_5 = None
+        transpose_2 = x_6.transpose(1, 2)
+        x_6 = None
+        x_7 = x_1 + transpose_2
+        x_1 = transpose_2 = None
+        layer_norm_1 = torch.nn.functional.layer_norm(
+            x_7,
+            (384,),
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm2_parameters_bias_
+        ) = None
+        x_8 = torch._C._nn.linear(
+            layer_norm_1,
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_1 = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_1 = x_8.chunk(2, dim=-1)
+        x_8 = None
+        x1_1 = chunk_1[0]
+        x2_1 = chunk_1[1]
+        chunk_1 = None
+        silu_1 = torch.nn.functional.silu(x2_1, inplace=False)
+        x2_1 = None
+        x_9 = x1_1 * silu_1
+        x1_1 = silu_1 = None
+        x_10 = torch.nn.functional.dropout(x_9, 0.0, False, False)
+        x_9 = None
+        x_11 = torch._C._nn.linear(
+            x_10,
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_10 = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_12 = torch.nn.functional.dropout(x_11, 0.0, False, False)
+        x_11 = None
+        x_13 = x_7 + x_12
+        x_7 = x_12 = None
+        layer_norm_2 = torch.nn.functional.layer_norm(
+            x_13,
+            (384,),
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm1_parameters_bias_
+        ) = None
+        transpose_3 = layer_norm_2.transpose(1, 2)
+        layer_norm_2 = None
+        x_14 = torch._C._nn.linear(
+            transpose_3,
+            l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_3 = l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_2 = x_14.chunk(2, dim=-1)
+        x_14 = None
+        x1_2 = chunk_2[0]
+        x2_2 = chunk_2[1]
+        chunk_2 = None
+        silu_2 = torch.nn.functional.silu(x2_2, inplace=False)
+        x2_2 = None
+        x_15 = x1_2 * silu_2
+        x1_2 = silu_2 = None
+        x_16 = torch.nn.functional.dropout(x_15, 0.0, False, False)
+        x_15 = None
+        x_17 = torch._C._nn.linear(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_16 = l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_18 = torch.nn.functional.dropout(x_17, 0.0, False, False)
+        x_17 = None
+        transpose_4 = x_18.transpose(1, 2)
+        x_18 = None
+        x_19 = x_13 + transpose_4
+        x_13 = transpose_4 = None
+        layer_norm_3 = torch.nn.functional.layer_norm(
+            x_19,
+            (384,),
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm2_parameters_bias_
+        ) = None
+        x_20 = torch._C._nn.linear(
+            layer_norm_3,
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_3 = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_3 = x_20.chunk(2, dim=-1)
+        x_20 = None
+        x1_3 = chunk_3[0]
+        x2_3 = chunk_3[1]
+        chunk_3 = None
+        silu_3 = torch.nn.functional.silu(x2_3, inplace=False)
+        x2_3 = None
+        x_21 = x1_3 * silu_3
+        x1_3 = silu_3 = None
+        x_22 = torch.nn.functional.dropout(x_21, 0.0, False, False)
+        x_21 = None
+        x_23 = torch._C._nn.linear(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_22 = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.dropout(x_23, 0.0, False, False)
+        x_23 = None
+        x_25 = x_19 + x_24
+        x_19 = x_24 = None
+        layer_norm_4 = torch.nn.functional.layer_norm(
+            x_25,
+            (384,),
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm1_parameters_bias_
+        ) = None
+        transpose_5 = layer_norm_4.transpose(1, 2)
+        layer_norm_4 = None
+        x_26 = torch._C._nn.linear(
+            transpose_5,
+            l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_5 = l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_4 = x_26.chunk(2, dim=-1)
+        x_26 = None
+        x1_4 = chunk_4[0]
+        x2_4 = chunk_4[1]
+        chunk_4 = None
+        silu_4 = torch.nn.functional.silu(x2_4, inplace=False)
+        x2_4 = None
+        x_27 = x1_4 * silu_4
+        x1_4 = silu_4 = None
+        x_28 = torch.nn.functional.dropout(x_27, 0.0, False, False)
+        x_27 = None
+        x_29 = torch._C._nn.linear(
+            x_28,
+            l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_28 = l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.dropout(x_29, 0.0, False, False)
+        x_29 = None
+        transpose_6 = x_30.transpose(1, 2)
+        x_30 = None
+        x_31 = x_25 + transpose_6
+        x_25 = transpose_6 = None
+        layer_norm_5 = torch.nn.functional.layer_norm(
+            x_31,
+            (384,),
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm2_parameters_bias_
+        ) = None
+        x_32 = torch._C._nn.linear(
+            layer_norm_5,
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_5 = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_5 = x_32.chunk(2, dim=-1)
+        x_32 = None
+        x1_5 = chunk_5[0]
+        x2_5 = chunk_5[1]
+        chunk_5 = None
+        silu_5 = torch.nn.functional.silu(x2_5, inplace=False)
+        x2_5 = None
+        x_33 = x1_5 * silu_5
+        x1_5 = silu_5 = None
+        x_34 = torch.nn.functional.dropout(x_33, 0.0, False, False)
+        x_33 = None
+        x_35 = torch._C._nn.linear(
+            x_34,
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_34 = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.dropout(x_35, 0.0, False, False)
+        x_35 = None
+        x_37 = x_31 + x_36
+        x_31 = x_36 = None
+        layer_norm_6 = torch.nn.functional.layer_norm(
+            x_37,
+            (384,),
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm1_parameters_bias_
+        ) = None
+        transpose_7 = layer_norm_6.transpose(1, 2)
+        layer_norm_6 = None
+        x_38 = torch._C._nn.linear(
+            transpose_7,
+            l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_7 = l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_6 = x_38.chunk(2, dim=-1)
+        x_38 = None
+        x1_6 = chunk_6[0]
+        x2_6 = chunk_6[1]
+        chunk_6 = None
+        silu_6 = torch.nn.functional.silu(x2_6, inplace=False)
+        x2_6 = None
+        x_39 = x1_6 * silu_6
+        x1_6 = silu_6 = None
+        x_40 = torch.nn.functional.dropout(x_39, 0.0, False, False)
+        x_39 = None
+        x_41 = torch._C._nn.linear(
+            x_40,
+            l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_40 = l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.dropout(x_41, 0.0, False, False)
+        x_41 = None
+        transpose_8 = x_42.transpose(1, 2)
+        x_42 = None
+        x_43 = x_37 + transpose_8
+        x_37 = transpose_8 = None
+        layer_norm_7 = torch.nn.functional.layer_norm(
+            x_43,
+            (384,),
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm2_parameters_bias_
+        ) = None
+        x_44 = torch._C._nn.linear(
+            layer_norm_7,
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_7 = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_7 = x_44.chunk(2, dim=-1)
+        x_44 = None
+        x1_7 = chunk_7[0]
+        x2_7 = chunk_7[1]
+        chunk_7 = None
+        silu_7 = torch.nn.functional.silu(x2_7, inplace=False)
+        x2_7 = None
+        x_45 = x1_7 * silu_7
+        x1_7 = silu_7 = None
+        x_46 = torch.nn.functional.dropout(x_45, 0.0, False, False)
+        x_45 = None
+        x_47 = torch._C._nn.linear(
+            x_46,
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_46 = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.dropout(x_47, 0.0, False, False)
+        x_47 = None
+        x_49 = x_43 + x_48
+        x_43 = x_48 = None
+        layer_norm_8 = torch.nn.functional.layer_norm(
+            x_49,
+            (384,),
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm1_parameters_bias_
+        ) = None
+        transpose_9 = layer_norm_8.transpose(1, 2)
+        layer_norm_8 = None
+        x_50 = torch._C._nn.linear(
+            transpose_9,
+            l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_9 = l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_8 = x_50.chunk(2, dim=-1)
+        x_50 = None
+        x1_8 = chunk_8[0]
+        x2_8 = chunk_8[1]
+        chunk_8 = None
+        silu_8 = torch.nn.functional.silu(x2_8, inplace=False)
+        x2_8 = None
+        x_51 = x1_8 * silu_8
+        x1_8 = silu_8 = None
+        x_52 = torch.nn.functional.dropout(x_51, 0.0, False, False)
+        x_51 = None
+        x_53 = torch._C._nn.linear(
+            x_52,
+            l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_52 = l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_54 = torch.nn.functional.dropout(x_53, 0.0, False, False)
+        x_53 = None
+        transpose_10 = x_54.transpose(1, 2)
+        x_54 = None
+        x_55 = x_49 + transpose_10
+        x_49 = transpose_10 = None
+        layer_norm_9 = torch.nn.functional.layer_norm(
+            x_55,
+            (384,),
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm2_parameters_bias_
+        ) = None
+        x_56 = torch._C._nn.linear(
+            layer_norm_9,
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_9 = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_9 = x_56.chunk(2, dim=-1)
+        x_56 = None
+        x1_9 = chunk_9[0]
+        x2_9 = chunk_9[1]
+        chunk_9 = None
+        silu_9 = torch.nn.functional.silu(x2_9, inplace=False)
+        x2_9 = None
+        x_57 = x1_9 * silu_9
+        x1_9 = silu_9 = None
+        x_58 = torch.nn.functional.dropout(x_57, 0.0, False, False)
+        x_57 = None
+        x_59 = torch._C._nn.linear(
+            x_58,
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_58 = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_60 = torch.nn.functional.dropout(x_59, 0.0, False, False)
+        x_59 = None
+        x_61 = x_55 + x_60
+        x_55 = x_60 = None
+        layer_norm_10 = torch.nn.functional.layer_norm(
+            x_61,
+            (384,),
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm1_parameters_bias_
+        ) = None
+        transpose_11 = layer_norm_10.transpose(1, 2)
+        layer_norm_10 = None
+        x_62 = torch._C._nn.linear(
+            transpose_11,
+            l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_11 = l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_10 = x_62.chunk(2, dim=-1)
+        x_62 = None
+        x1_10 = chunk_10[0]
+        x2_10 = chunk_10[1]
+        chunk_10 = None
+        silu_10 = torch.nn.functional.silu(x2_10, inplace=False)
+        x2_10 = None
+        x_63 = x1_10 * silu_10
+        x1_10 = silu_10 = None
+        x_64 = torch.nn.functional.dropout(x_63, 0.0, False, False)
+        x_63 = None
+        x_65 = torch._C._nn.linear(
+            x_64,
+            l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_64 = l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.dropout(x_65, 0.0, False, False)
+        x_65 = None
+        transpose_12 = x_66.transpose(1, 2)
+        x_66 = None
+        x_67 = x_61 + transpose_12
+        x_61 = transpose_12 = None
+        layer_norm_11 = torch.nn.functional.layer_norm(
+            x_67,
+            (384,),
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm2_parameters_bias_
+        ) = None
+        x_68 = torch._C._nn.linear(
+            layer_norm_11,
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_11 = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_11 = x_68.chunk(2, dim=-1)
+        x_68 = None
+        x1_11 = chunk_11[0]
+        x2_11 = chunk_11[1]
+        chunk_11 = None
+        silu_11 = torch.nn.functional.silu(x2_11, inplace=False)
+        x2_11 = None
+        x_69 = x1_11 * silu_11
+        x1_11 = silu_11 = None
+        x_70 = torch.nn.functional.dropout(x_69, 0.0, False, False)
+        x_69 = None
+        x_71 = torch._C._nn.linear(
+            x_70,
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_70 = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.dropout(x_71, 0.0, False, False)
+        x_71 = None
+        x_73 = x_67 + x_72
+        x_67 = x_72 = None
+        layer_norm_12 = torch.nn.functional.layer_norm(
+            x_73,
+            (384,),
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm1_parameters_bias_
+        ) = None
+        transpose_13 = layer_norm_12.transpose(1, 2)
+        layer_norm_12 = None
+        x_74 = torch._C._nn.linear(
+            transpose_13,
+            l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_13 = l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_12 = x_74.chunk(2, dim=-1)
+        x_74 = None
+        x1_12 = chunk_12[0]
+        x2_12 = chunk_12[1]
+        chunk_12 = None
+        silu_12 = torch.nn.functional.silu(x2_12, inplace=False)
+        x2_12 = None
+        x_75 = x1_12 * silu_12
+        x1_12 = silu_12 = None
+        x_76 = torch.nn.functional.dropout(x_75, 0.0, False, False)
+        x_75 = None
+        x_77 = torch._C._nn.linear(
+            x_76,
+            l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_76 = l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.dropout(x_77, 0.0, False, False)
+        x_77 = None
+        transpose_14 = x_78.transpose(1, 2)
+        x_78 = None
+        x_79 = x_73 + transpose_14
+        x_73 = transpose_14 = None
+        layer_norm_13 = torch.nn.functional.layer_norm(
+            x_79,
+            (384,),
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm2_parameters_bias_
+        ) = None
+        x_80 = torch._C._nn.linear(
+            layer_norm_13,
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_13 = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_13 = x_80.chunk(2, dim=-1)
+        x_80 = None
+        x1_13 = chunk_13[0]
+        x2_13 = chunk_13[1]
+        chunk_13 = None
+        silu_13 = torch.nn.functional.silu(x2_13, inplace=False)
+        x2_13 = None
+        x_81 = x1_13 * silu_13
+        x1_13 = silu_13 = None
+        x_82 = torch.nn.functional.dropout(x_81, 0.0, False, False)
+        x_81 = None
+        x_83 = torch._C._nn.linear(
+            x_82,
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_82 = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.dropout(x_83, 0.0, False, False)
+        x_83 = None
+        x_85 = x_79 + x_84
+        x_79 = x_84 = None
+        layer_norm_14 = torch.nn.functional.layer_norm(
+            x_85,
+            (384,),
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm1_parameters_bias_
+        ) = None
+        transpose_15 = layer_norm_14.transpose(1, 2)
+        layer_norm_14 = None
+        x_86 = torch._C._nn.linear(
+            transpose_15,
+            l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_15 = l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_14 = x_86.chunk(2, dim=-1)
+        x_86 = None
+        x1_14 = chunk_14[0]
+        x2_14 = chunk_14[1]
+        chunk_14 = None
+        silu_14 = torch.nn.functional.silu(x2_14, inplace=False)
+        x2_14 = None
+        x_87 = x1_14 * silu_14
+        x1_14 = silu_14 = None
+        x_88 = torch.nn.functional.dropout(x_87, 0.0, False, False)
+        x_87 = None
+        x_89 = torch._C._nn.linear(
+            x_88,
+            l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_88 = l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_90 = torch.nn.functional.dropout(x_89, 0.0, False, False)
+        x_89 = None
+        transpose_16 = x_90.transpose(1, 2)
+        x_90 = None
+        x_91 = x_85 + transpose_16
+        x_85 = transpose_16 = None
+        layer_norm_15 = torch.nn.functional.layer_norm(
+            x_91,
+            (384,),
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm2_parameters_bias_
+        ) = None
+        x_92 = torch._C._nn.linear(
+            layer_norm_15,
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_15 = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_15 = x_92.chunk(2, dim=-1)
+        x_92 = None
+        x1_15 = chunk_15[0]
+        x2_15 = chunk_15[1]
+        chunk_15 = None
+        silu_15 = torch.nn.functional.silu(x2_15, inplace=False)
+        x2_15 = None
+        x_93 = x1_15 * silu_15
+        x1_15 = silu_15 = None
+        x_94 = torch.nn.functional.dropout(x_93, 0.0, False, False)
+        x_93 = None
+        x_95 = torch._C._nn.linear(
+            x_94,
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_94 = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_96 = torch.nn.functional.dropout(x_95, 0.0, False, False)
+        x_95 = None
+        x_97 = x_91 + x_96
+        x_91 = x_96 = None
+        layer_norm_16 = torch.nn.functional.layer_norm(
+            x_97,
+            (384,),
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm1_parameters_bias_
+        ) = None
+        transpose_17 = layer_norm_16.transpose(1, 2)
+        layer_norm_16 = None
+        x_98 = torch._C._nn.linear(
+            transpose_17,
+            l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_17 = l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_16 = x_98.chunk(2, dim=-1)
+        x_98 = None
+        x1_16 = chunk_16[0]
+        x2_16 = chunk_16[1]
+        chunk_16 = None
+        silu_16 = torch.nn.functional.silu(x2_16, inplace=False)
+        x2_16 = None
+        x_99 = x1_16 * silu_16
+        x1_16 = silu_16 = None
+        x_100 = torch.nn.functional.dropout(x_99, 0.0, False, False)
+        x_99 = None
+        x_101 = torch._C._nn.linear(
+            x_100,
+            l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_100 = l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_102 = torch.nn.functional.dropout(x_101, 0.0, False, False)
+        x_101 = None
+        transpose_18 = x_102.transpose(1, 2)
+        x_102 = None
+        x_103 = x_97 + transpose_18
+        x_97 = transpose_18 = None
+        layer_norm_17 = torch.nn.functional.layer_norm(
+            x_103,
+            (384,),
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm2_parameters_bias_
+        ) = None
+        x_104 = torch._C._nn.linear(
+            layer_norm_17,
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_17 = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_17 = x_104.chunk(2, dim=-1)
+        x_104 = None
+        x1_17 = chunk_17[0]
+        x2_17 = chunk_17[1]
+        chunk_17 = None
+        silu_17 = torch.nn.functional.silu(x2_17, inplace=False)
+        x2_17 = None
+        x_105 = x1_17 * silu_17
+        x1_17 = silu_17 = None
+        x_106 = torch.nn.functional.dropout(x_105, 0.0, False, False)
+        x_105 = None
+        x_107 = torch._C._nn.linear(
+            x_106,
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_106 = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_108 = torch.nn.functional.dropout(x_107, 0.0, False, False)
+        x_107 = None
+        x_109 = x_103 + x_108
+        x_103 = x_108 = None
+        layer_norm_18 = torch.nn.functional.layer_norm(
+            x_109,
+            (384,),
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm1_parameters_bias_
+        ) = None
+        transpose_19 = layer_norm_18.transpose(1, 2)
+        layer_norm_18 = None
+        x_110 = torch._C._nn.linear(
+            transpose_19,
+            l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_19 = l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_18 = x_110.chunk(2, dim=-1)
+        x_110 = None
+        x1_18 = chunk_18[0]
+        x2_18 = chunk_18[1]
+        chunk_18 = None
+        silu_18 = torch.nn.functional.silu(x2_18, inplace=False)
+        x2_18 = None
+        x_111 = x1_18 * silu_18
+        x1_18 = silu_18 = None
+        x_112 = torch.nn.functional.dropout(x_111, 0.0, False, False)
+        x_111 = None
+        x_113 = torch._C._nn.linear(
+            x_112,
+            l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_112 = l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_114 = torch.nn.functional.dropout(x_113, 0.0, False, False)
+        x_113 = None
+        transpose_20 = x_114.transpose(1, 2)
+        x_114 = None
+        x_115 = x_109 + transpose_20
+        x_109 = transpose_20 = None
+        layer_norm_19 = torch.nn.functional.layer_norm(
+            x_115,
+            (384,),
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm2_parameters_bias_
+        ) = None
+        x_116 = torch._C._nn.linear(
+            layer_norm_19,
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_19 = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_19 = x_116.chunk(2, dim=-1)
+        x_116 = None
+        x1_19 = chunk_19[0]
+        x2_19 = chunk_19[1]
+        chunk_19 = None
+        silu_19 = torch.nn.functional.silu(x2_19, inplace=False)
+        x2_19 = None
+        x_117 = x1_19 * silu_19
+        x1_19 = silu_19 = None
+        x_118 = torch.nn.functional.dropout(x_117, 0.0, False, False)
+        x_117 = None
+        x_119 = torch._C._nn.linear(
+            x_118,
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_118 = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_120 = torch.nn.functional.dropout(x_119, 0.0, False, False)
+        x_119 = None
+        x_121 = x_115 + x_120
+        x_115 = x_120 = None
+        layer_norm_20 = torch.nn.functional.layer_norm(
+            x_121,
+            (384,),
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm1_parameters_bias_
+        ) = None
+        transpose_21 = layer_norm_20.transpose(1, 2)
+        layer_norm_20 = None
+        x_122 = torch._C._nn.linear(
+            transpose_21,
+            l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_21 = l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_20 = x_122.chunk(2, dim=-1)
+        x_122 = None
+        x1_20 = chunk_20[0]
+        x2_20 = chunk_20[1]
+        chunk_20 = None
+        silu_20 = torch.nn.functional.silu(x2_20, inplace=False)
+        x2_20 = None
+        x_123 = x1_20 * silu_20
+        x1_20 = silu_20 = None
+        x_124 = torch.nn.functional.dropout(x_123, 0.0, False, False)
+        x_123 = None
+        x_125 = torch._C._nn.linear(
+            x_124,
+            l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_124 = l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_126 = torch.nn.functional.dropout(x_125, 0.0, False, False)
+        x_125 = None
+        transpose_22 = x_126.transpose(1, 2)
+        x_126 = None
+        x_127 = x_121 + transpose_22
+        x_121 = transpose_22 = None
+        layer_norm_21 = torch.nn.functional.layer_norm(
+            x_127,
+            (384,),
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm2_parameters_bias_
+        ) = None
+        x_128 = torch._C._nn.linear(
+            layer_norm_21,
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_21 = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_21 = x_128.chunk(2, dim=-1)
+        x_128 = None
+        x1_21 = chunk_21[0]
+        x2_21 = chunk_21[1]
+        chunk_21 = None
+        silu_21 = torch.nn.functional.silu(x2_21, inplace=False)
+        x2_21 = None
+        x_129 = x1_21 * silu_21
+        x1_21 = silu_21 = None
+        x_130 = torch.nn.functional.dropout(x_129, 0.0, False, False)
+        x_129 = None
+        x_131 = torch._C._nn.linear(
+            x_130,
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_130 = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_132 = torch.nn.functional.dropout(x_131, 0.0, False, False)
+        x_131 = None
+        x_133 = x_127 + x_132
+        x_127 = x_132 = None
+        layer_norm_22 = torch.nn.functional.layer_norm(
+            x_133,
+            (384,),
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm1_parameters_bias_
+        ) = None
+        transpose_23 = layer_norm_22.transpose(1, 2)
+        layer_norm_22 = None
+        x_134 = torch._C._nn.linear(
+            transpose_23,
+            l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_23 = l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_22 = x_134.chunk(2, dim=-1)
+        x_134 = None
+        x1_22 = chunk_22[0]
+        x2_22 = chunk_22[1]
+        chunk_22 = None
+        silu_22 = torch.nn.functional.silu(x2_22, inplace=False)
+        x2_22 = None
+        x_135 = x1_22 * silu_22
+        x1_22 = silu_22 = None
+        x_136 = torch.nn.functional.dropout(x_135, 0.0, False, False)
+        x_135 = None
+        x_137 = torch._C._nn.linear(
+            x_136,
+            l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_136 = l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_138 = torch.nn.functional.dropout(x_137, 0.0, False, False)
+        x_137 = None
+        transpose_24 = x_138.transpose(1, 2)
+        x_138 = None
+        x_139 = x_133 + transpose_24
+        x_133 = transpose_24 = None
+        layer_norm_23 = torch.nn.functional.layer_norm(
+            x_139,
+            (384,),
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm2_parameters_bias_
+        ) = None
+        x_140 = torch._C._nn.linear(
+            layer_norm_23,
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_23 = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_23 = x_140.chunk(2, dim=-1)
+        x_140 = None
+        x1_23 = chunk_23[0]
+        x2_23 = chunk_23[1]
+        chunk_23 = None
+        silu_23 = torch.nn.functional.silu(x2_23, inplace=False)
+        x2_23 = None
+        x_141 = x1_23 * silu_23
+        x1_23 = silu_23 = None
+        x_142 = torch.nn.functional.dropout(x_141, 0.0, False, False)
+        x_141 = None
+        x_143 = torch._C._nn.linear(
+            x_142,
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_142 = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_144 = torch.nn.functional.dropout(x_143, 0.0, False, False)
+        x_143 = None
+        x_145 = x_139 + x_144
+        x_139 = x_144 = None
+        layer_norm_24 = torch.nn.functional.layer_norm(
+            x_145,
+            (384,),
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_12_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_norm1_parameters_bias_
+        ) = None
+        transpose_25 = layer_norm_24.transpose(1, 2)
+        layer_norm_24 = None
+        x_146 = torch._C._nn.linear(
+            transpose_25,
+            l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_25 = l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_24 = x_146.chunk(2, dim=-1)
+        x_146 = None
+        x1_24 = chunk_24[0]
+        x2_24 = chunk_24[1]
+        chunk_24 = None
+        silu_24 = torch.nn.functional.silu(x2_24, inplace=False)
+        x2_24 = None
+        x_147 = x1_24 * silu_24
+        x1_24 = silu_24 = None
+        x_148 = torch.nn.functional.dropout(x_147, 0.0, False, False)
+        x_147 = None
+        x_149 = torch._C._nn.linear(
+            x_148,
+            l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_148 = l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False)
+        x_149 = None
+        transpose_26 = x_150.transpose(1, 2)
+        x_150 = None
+        x_151 = x_145 + transpose_26
+        x_145 = transpose_26 = None
+        layer_norm_25 = torch.nn.functional.layer_norm(
+            x_151,
+            (384,),
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_12_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_norm2_parameters_bias_
+        ) = None
+        x_152 = torch._C._nn.linear(
+            layer_norm_25,
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_25 = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_25 = x_152.chunk(2, dim=-1)
+        x_152 = None
+        x1_25 = chunk_25[0]
+        x2_25 = chunk_25[1]
+        chunk_25 = None
+        silu_25 = torch.nn.functional.silu(x2_25, inplace=False)
+        x2_25 = None
+        x_153 = x1_25 * silu_25
+        x1_25 = silu_25 = None
+        x_154 = torch.nn.functional.dropout(x_153, 0.0, False, False)
+        x_153 = None
+        x_155 = torch._C._nn.linear(
+            x_154,
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_154 = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_156 = torch.nn.functional.dropout(x_155, 0.0, False, False)
+        x_155 = None
+        x_157 = x_151 + x_156
+        x_151 = x_156 = None
+        layer_norm_26 = torch.nn.functional.layer_norm(
+            x_157,
+            (384,),
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_13_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_norm1_parameters_bias_
+        ) = None
+        transpose_27 = layer_norm_26.transpose(1, 2)
+        layer_norm_26 = None
+        x_158 = torch._C._nn.linear(
+            transpose_27,
+            l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_27 = l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_26 = x_158.chunk(2, dim=-1)
+        x_158 = None
+        x1_26 = chunk_26[0]
+        x2_26 = chunk_26[1]
+        chunk_26 = None
+        silu_26 = torch.nn.functional.silu(x2_26, inplace=False)
+        x2_26 = None
+        x_159 = x1_26 * silu_26
+        x1_26 = silu_26 = None
+        x_160 = torch.nn.functional.dropout(x_159, 0.0, False, False)
+        x_159 = None
+        x_161 = torch._C._nn.linear(
+            x_160,
+            l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_160 = l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_162 = torch.nn.functional.dropout(x_161, 0.0, False, False)
+        x_161 = None
+        transpose_28 = x_162.transpose(1, 2)
+        x_162 = None
+        x_163 = x_157 + transpose_28
+        x_157 = transpose_28 = None
+        layer_norm_27 = torch.nn.functional.layer_norm(
+            x_163,
+            (384,),
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_13_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_norm2_parameters_bias_
+        ) = None
+        x_164 = torch._C._nn.linear(
+            layer_norm_27,
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_27 = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_27 = x_164.chunk(2, dim=-1)
+        x_164 = None
+        x1_27 = chunk_27[0]
+        x2_27 = chunk_27[1]
+        chunk_27 = None
+        silu_27 = torch.nn.functional.silu(x2_27, inplace=False)
+        x2_27 = None
+        x_165 = x1_27 * silu_27
+        x1_27 = silu_27 = None
+        x_166 = torch.nn.functional.dropout(x_165, 0.0, False, False)
+        x_165 = None
+        x_167 = torch._C._nn.linear(
+            x_166,
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_166 = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_168 = torch.nn.functional.dropout(x_167, 0.0, False, False)
+        x_167 = None
+        x_169 = x_163 + x_168
+        x_163 = x_168 = None
+        layer_norm_28 = torch.nn.functional.layer_norm(
+            x_169,
+            (384,),
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_14_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_norm1_parameters_bias_
+        ) = None
+        transpose_29 = layer_norm_28.transpose(1, 2)
+        layer_norm_28 = None
+        x_170 = torch._C._nn.linear(
+            transpose_29,
+            l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_29 = l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_28 = x_170.chunk(2, dim=-1)
+        x_170 = None
+        x1_28 = chunk_28[0]
+        x2_28 = chunk_28[1]
+        chunk_28 = None
+        silu_28 = torch.nn.functional.silu(x2_28, inplace=False)
+        x2_28 = None
+        x_171 = x1_28 * silu_28
+        x1_28 = silu_28 = None
+        x_172 = torch.nn.functional.dropout(x_171, 0.0, False, False)
+        x_171 = None
+        x_173 = torch._C._nn.linear(
+            x_172,
+            l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_172 = l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_174 = torch.nn.functional.dropout(x_173, 0.0, False, False)
+        x_173 = None
+        transpose_30 = x_174.transpose(1, 2)
+        x_174 = None
+        x_175 = x_169 + transpose_30
+        x_169 = transpose_30 = None
+        layer_norm_29 = torch.nn.functional.layer_norm(
+            x_175,
+            (384,),
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_14_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_norm2_parameters_bias_
+        ) = None
+        x_176 = torch._C._nn.linear(
+            layer_norm_29,
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_29 = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_29 = x_176.chunk(2, dim=-1)
+        x_176 = None
+        x1_29 = chunk_29[0]
+        x2_29 = chunk_29[1]
+        chunk_29 = None
+        silu_29 = torch.nn.functional.silu(x2_29, inplace=False)
+        x2_29 = None
+        x_177 = x1_29 * silu_29
+        x1_29 = silu_29 = None
+        x_178 = torch.nn.functional.dropout(x_177, 0.0, False, False)
+        x_177 = None
+        x_179 = torch._C._nn.linear(
+            x_178,
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_178 = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_180 = torch.nn.functional.dropout(x_179, 0.0, False, False)
+        x_179 = None
+        x_181 = x_175 + x_180
+        x_175 = x_180 = None
+        layer_norm_30 = torch.nn.functional.layer_norm(
+            x_181,
+            (384,),
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_15_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_norm1_parameters_bias_
+        ) = None
+        transpose_31 = layer_norm_30.transpose(1, 2)
+        layer_norm_30 = None
+        x_182 = torch._C._nn.linear(
+            transpose_31,
+            l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_31 = l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_30 = x_182.chunk(2, dim=-1)
+        x_182 = None
+        x1_30 = chunk_30[0]
+        x2_30 = chunk_30[1]
+        chunk_30 = None
+        silu_30 = torch.nn.functional.silu(x2_30, inplace=False)
+        x2_30 = None
+        x_183 = x1_30 * silu_30
+        x1_30 = silu_30 = None
+        x_184 = torch.nn.functional.dropout(x_183, 0.0, False, False)
+        x_183 = None
+        x_185 = torch._C._nn.linear(
+            x_184,
+            l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_184 = l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_186 = torch.nn.functional.dropout(x_185, 0.0, False, False)
+        x_185 = None
+        transpose_32 = x_186.transpose(1, 2)
+        x_186 = None
+        x_187 = x_181 + transpose_32
+        x_181 = transpose_32 = None
+        layer_norm_31 = torch.nn.functional.layer_norm(
+            x_187,
+            (384,),
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_15_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_norm2_parameters_bias_
+        ) = None
+        x_188 = torch._C._nn.linear(
+            layer_norm_31,
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_31 = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_31 = x_188.chunk(2, dim=-1)
+        x_188 = None
+        x1_31 = chunk_31[0]
+        x2_31 = chunk_31[1]
+        chunk_31 = None
+        silu_31 = torch.nn.functional.silu(x2_31, inplace=False)
+        x2_31 = None
+        x_189 = x1_31 * silu_31
+        x1_31 = silu_31 = None
+        x_190 = torch.nn.functional.dropout(x_189, 0.0, False, False)
+        x_189 = None
+        x_191 = torch._C._nn.linear(
+            x_190,
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_190 = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_192 = torch.nn.functional.dropout(x_191, 0.0, False, False)
+        x_191 = None
+        x_193 = x_187 + x_192
+        x_187 = x_192 = None
+        layer_norm_32 = torch.nn.functional.layer_norm(
+            x_193,
+            (384,),
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_16_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_norm1_parameters_bias_
+        ) = None
+        transpose_33 = layer_norm_32.transpose(1, 2)
+        layer_norm_32 = None
+        x_194 = torch._C._nn.linear(
+            transpose_33,
+            l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_33 = l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_32 = x_194.chunk(2, dim=-1)
+        x_194 = None
+        x1_32 = chunk_32[0]
+        x2_32 = chunk_32[1]
+        chunk_32 = None
+        silu_32 = torch.nn.functional.silu(x2_32, inplace=False)
+        x2_32 = None
+        x_195 = x1_32 * silu_32
+        x1_32 = silu_32 = None
+        x_196 = torch.nn.functional.dropout(x_195, 0.0, False, False)
+        x_195 = None
+        x_197 = torch._C._nn.linear(
+            x_196,
+            l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_196 = l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_198 = torch.nn.functional.dropout(x_197, 0.0, False, False)
+        x_197 = None
+        transpose_34 = x_198.transpose(1, 2)
+        x_198 = None
+        x_199 = x_193 + transpose_34
+        x_193 = transpose_34 = None
+        layer_norm_33 = torch.nn.functional.layer_norm(
+            x_199,
+            (384,),
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_16_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_norm2_parameters_bias_
+        ) = None
+        x_200 = torch._C._nn.linear(
+            layer_norm_33,
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_33 = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_33 = x_200.chunk(2, dim=-1)
+        x_200 = None
+        x1_33 = chunk_33[0]
+        x2_33 = chunk_33[1]
+        chunk_33 = None
+        silu_33 = torch.nn.functional.silu(x2_33, inplace=False)
+        x2_33 = None
+        x_201 = x1_33 * silu_33
+        x1_33 = silu_33 = None
+        x_202 = torch.nn.functional.dropout(x_201, 0.0, False, False)
+        x_201 = None
+        x_203 = torch._C._nn.linear(
+            x_202,
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_202 = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_204 = torch.nn.functional.dropout(x_203, 0.0, False, False)
+        x_203 = None
+        x_205 = x_199 + x_204
+        x_199 = x_204 = None
+        layer_norm_34 = torch.nn.functional.layer_norm(
+            x_205,
+            (384,),
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_17_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_norm1_parameters_bias_
+        ) = None
+        transpose_35 = layer_norm_34.transpose(1, 2)
+        layer_norm_34 = None
+        x_206 = torch._C._nn.linear(
+            transpose_35,
+            l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_35 = l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_34 = x_206.chunk(2, dim=-1)
+        x_206 = None
+        x1_34 = chunk_34[0]
+        x2_34 = chunk_34[1]
+        chunk_34 = None
+        silu_34 = torch.nn.functional.silu(x2_34, inplace=False)
+        x2_34 = None
+        x_207 = x1_34 * silu_34
+        x1_34 = silu_34 = None
+        x_208 = torch.nn.functional.dropout(x_207, 0.0, False, False)
+        x_207 = None
+        x_209 = torch._C._nn.linear(
+            x_208,
+            l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_208 = l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_210 = torch.nn.functional.dropout(x_209, 0.0, False, False)
+        x_209 = None
+        transpose_36 = x_210.transpose(1, 2)
+        x_210 = None
+        x_211 = x_205 + transpose_36
+        x_205 = transpose_36 = None
+        layer_norm_35 = torch.nn.functional.layer_norm(
+            x_211,
+            (384,),
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_17_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_norm2_parameters_bias_
+        ) = None
+        x_212 = torch._C._nn.linear(
+            layer_norm_35,
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_35 = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_35 = x_212.chunk(2, dim=-1)
+        x_212 = None
+        x1_35 = chunk_35[0]
+        x2_35 = chunk_35[1]
+        chunk_35 = None
+        silu_35 = torch.nn.functional.silu(x2_35, inplace=False)
+        x2_35 = None
+        x_213 = x1_35 * silu_35
+        x1_35 = silu_35 = None
+        x_214 = torch.nn.functional.dropout(x_213, 0.0, False, False)
+        x_213 = None
+        x_215 = torch._C._nn.linear(
+            x_214,
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_214 = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_216 = torch.nn.functional.dropout(x_215, 0.0, False, False)
+        x_215 = None
+        x_217 = x_211 + x_216
+        x_211 = x_216 = None
+        layer_norm_36 = torch.nn.functional.layer_norm(
+            x_217,
+            (384,),
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_18_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_norm1_parameters_bias_
+        ) = None
+        transpose_37 = layer_norm_36.transpose(1, 2)
+        layer_norm_36 = None
+        x_218 = torch._C._nn.linear(
+            transpose_37,
+            l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_37 = l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_36 = x_218.chunk(2, dim=-1)
+        x_218 = None
+        x1_36 = chunk_36[0]
+        x2_36 = chunk_36[1]
+        chunk_36 = None
+        silu_36 = torch.nn.functional.silu(x2_36, inplace=False)
+        x2_36 = None
+        x_219 = x1_36 * silu_36
+        x1_36 = silu_36 = None
+        x_220 = torch.nn.functional.dropout(x_219, 0.0, False, False)
+        x_219 = None
+        x_221 = torch._C._nn.linear(
+            x_220,
+            l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_220 = l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_222 = torch.nn.functional.dropout(x_221, 0.0, False, False)
+        x_221 = None
+        transpose_38 = x_222.transpose(1, 2)
+        x_222 = None
+        x_223 = x_217 + transpose_38
+        x_217 = transpose_38 = None
+        layer_norm_37 = torch.nn.functional.layer_norm(
+            x_223,
+            (384,),
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_18_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_norm2_parameters_bias_
+        ) = None
+        x_224 = torch._C._nn.linear(
+            layer_norm_37,
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_37 = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_37 = x_224.chunk(2, dim=-1)
+        x_224 = None
+        x1_37 = chunk_37[0]
+        x2_37 = chunk_37[1]
+        chunk_37 = None
+        silu_37 = torch.nn.functional.silu(x2_37, inplace=False)
+        x2_37 = None
+        x_225 = x1_37 * silu_37
+        x1_37 = silu_37 = None
+        x_226 = torch.nn.functional.dropout(x_225, 0.0, False, False)
+        x_225 = None
+        x_227 = torch._C._nn.linear(
+            x_226,
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_226 = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_228 = torch.nn.functional.dropout(x_227, 0.0, False, False)
+        x_227 = None
+        x_229 = x_223 + x_228
+        x_223 = x_228 = None
+        layer_norm_38 = torch.nn.functional.layer_norm(
+            x_229,
+            (384,),
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_19_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_norm1_parameters_bias_
+        ) = None
+        transpose_39 = layer_norm_38.transpose(1, 2)
+        layer_norm_38 = None
+        x_230 = torch._C._nn.linear(
+            transpose_39,
+            l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_39 = l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_38 = x_230.chunk(2, dim=-1)
+        x_230 = None
+        x1_38 = chunk_38[0]
+        x2_38 = chunk_38[1]
+        chunk_38 = None
+        silu_38 = torch.nn.functional.silu(x2_38, inplace=False)
+        x2_38 = None
+        x_231 = x1_38 * silu_38
+        x1_38 = silu_38 = None
+        x_232 = torch.nn.functional.dropout(x_231, 0.0, False, False)
+        x_231 = None
+        x_233 = torch._C._nn.linear(
+            x_232,
+            l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_232 = l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_234 = torch.nn.functional.dropout(x_233, 0.0, False, False)
+        x_233 = None
+        transpose_40 = x_234.transpose(1, 2)
+        x_234 = None
+        x_235 = x_229 + transpose_40
+        x_229 = transpose_40 = None
+        layer_norm_39 = torch.nn.functional.layer_norm(
+            x_235,
+            (384,),
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_19_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_norm2_parameters_bias_
+        ) = None
+        x_236 = torch._C._nn.linear(
+            layer_norm_39,
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_39 = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_39 = x_236.chunk(2, dim=-1)
+        x_236 = None
+        x1_39 = chunk_39[0]
+        x2_39 = chunk_39[1]
+        chunk_39 = None
+        silu_39 = torch.nn.functional.silu(x2_39, inplace=False)
+        x2_39 = None
+        x_237 = x1_39 * silu_39
+        x1_39 = silu_39 = None
+        x_238 = torch.nn.functional.dropout(x_237, 0.0, False, False)
+        x_237 = None
+        x_239 = torch._C._nn.linear(
+            x_238,
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_238 = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_240 = torch.nn.functional.dropout(x_239, 0.0, False, False)
+        x_239 = None
+        x_241 = x_235 + x_240
+        x_235 = x_240 = None
+        layer_norm_40 = torch.nn.functional.layer_norm(
+            x_241,
+            (384,),
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_20_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_norm1_parameters_bias_
+        ) = None
+        transpose_41 = layer_norm_40.transpose(1, 2)
+        layer_norm_40 = None
+        x_242 = torch._C._nn.linear(
+            transpose_41,
+            l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_41 = l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_40 = x_242.chunk(2, dim=-1)
+        x_242 = None
+        x1_40 = chunk_40[0]
+        x2_40 = chunk_40[1]
+        chunk_40 = None
+        silu_40 = torch.nn.functional.silu(x2_40, inplace=False)
+        x2_40 = None
+        x_243 = x1_40 * silu_40
+        x1_40 = silu_40 = None
+        x_244 = torch.nn.functional.dropout(x_243, 0.0, False, False)
+        x_243 = None
+        x_245 = torch._C._nn.linear(
+            x_244,
+            l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_244 = l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_246 = torch.nn.functional.dropout(x_245, 0.0, False, False)
+        x_245 = None
+        transpose_42 = x_246.transpose(1, 2)
+        x_246 = None
+        x_247 = x_241 + transpose_42
+        x_241 = transpose_42 = None
+        layer_norm_41 = torch.nn.functional.layer_norm(
+            x_247,
+            (384,),
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_20_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_norm2_parameters_bias_
+        ) = None
+        x_248 = torch._C._nn.linear(
+            layer_norm_41,
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_41 = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_41 = x_248.chunk(2, dim=-1)
+        x_248 = None
+        x1_41 = chunk_41[0]
+        x2_41 = chunk_41[1]
+        chunk_41 = None
+        silu_41 = torch.nn.functional.silu(x2_41, inplace=False)
+        x2_41 = None
+        x_249 = x1_41 * silu_41
+        x1_41 = silu_41 = None
+        x_250 = torch.nn.functional.dropout(x_249, 0.0, False, False)
+        x_249 = None
+        x_251 = torch._C._nn.linear(
+            x_250,
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_250 = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_252 = torch.nn.functional.dropout(x_251, 0.0, False, False)
+        x_251 = None
+        x_253 = x_247 + x_252
+        x_247 = x_252 = None
+        layer_norm_42 = torch.nn.functional.layer_norm(
+            x_253,
+            (384,),
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_21_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_norm1_parameters_bias_
+        ) = None
+        transpose_43 = layer_norm_42.transpose(1, 2)
+        layer_norm_42 = None
+        x_254 = torch._C._nn.linear(
+            transpose_43,
+            l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_43 = l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_42 = x_254.chunk(2, dim=-1)
+        x_254 = None
+        x1_42 = chunk_42[0]
+        x2_42 = chunk_42[1]
+        chunk_42 = None
+        silu_42 = torch.nn.functional.silu(x2_42, inplace=False)
+        x2_42 = None
+        x_255 = x1_42 * silu_42
+        x1_42 = silu_42 = None
+        x_256 = torch.nn.functional.dropout(x_255, 0.0, False, False)
+        x_255 = None
+        x_257 = torch._C._nn.linear(
+            x_256,
+            l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_256 = l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_258 = torch.nn.functional.dropout(x_257, 0.0, False, False)
+        x_257 = None
+        transpose_44 = x_258.transpose(1, 2)
+        x_258 = None
+        x_259 = x_253 + transpose_44
+        x_253 = transpose_44 = None
+        layer_norm_43 = torch.nn.functional.layer_norm(
+            x_259,
+            (384,),
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_21_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_norm2_parameters_bias_
+        ) = None
+        x_260 = torch._C._nn.linear(
+            layer_norm_43,
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_43 = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_43 = x_260.chunk(2, dim=-1)
+        x_260 = None
+        x1_43 = chunk_43[0]
+        x2_43 = chunk_43[1]
+        chunk_43 = None
+        silu_43 = torch.nn.functional.silu(x2_43, inplace=False)
+        x2_43 = None
+        x_261 = x1_43 * silu_43
+        x1_43 = silu_43 = None
+        x_262 = torch.nn.functional.dropout(x_261, 0.0, False, False)
+        x_261 = None
+        x_263 = torch._C._nn.linear(
+            x_262,
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_262 = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_264 = torch.nn.functional.dropout(x_263, 0.0, False, False)
+        x_263 = None
+        x_265 = x_259 + x_264
+        x_259 = x_264 = None
+        layer_norm_44 = torch.nn.functional.layer_norm(
+            x_265,
+            (384,),
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_22_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_norm1_parameters_bias_
+        ) = None
+        transpose_45 = layer_norm_44.transpose(1, 2)
+        layer_norm_44 = None
+        x_266 = torch._C._nn.linear(
+            transpose_45,
+            l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_45 = l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_44 = x_266.chunk(2, dim=-1)
+        x_266 = None
+        x1_44 = chunk_44[0]
+        x2_44 = chunk_44[1]
+        chunk_44 = None
+        silu_44 = torch.nn.functional.silu(x2_44, inplace=False)
+        x2_44 = None
+        x_267 = x1_44 * silu_44
+        x1_44 = silu_44 = None
+        x_268 = torch.nn.functional.dropout(x_267, 0.0, False, False)
+        x_267 = None
+        x_269 = torch._C._nn.linear(
+            x_268,
+            l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_268 = l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_270 = torch.nn.functional.dropout(x_269, 0.0, False, False)
+        x_269 = None
+        transpose_46 = x_270.transpose(1, 2)
+        x_270 = None
+        x_271 = x_265 + transpose_46
+        x_265 = transpose_46 = None
+        layer_norm_45 = torch.nn.functional.layer_norm(
+            x_271,
+            (384,),
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_22_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_norm2_parameters_bias_
+        ) = None
+        x_272 = torch._C._nn.linear(
+            layer_norm_45,
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_45 = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_45 = x_272.chunk(2, dim=-1)
+        x_272 = None
+        x1_45 = chunk_45[0]
+        x2_45 = chunk_45[1]
+        chunk_45 = None
+        silu_45 = torch.nn.functional.silu(x2_45, inplace=False)
+        x2_45 = None
+        x_273 = x1_45 * silu_45
+        x1_45 = silu_45 = None
+        x_274 = torch.nn.functional.dropout(x_273, 0.0, False, False)
+        x_273 = None
+        x_275 = torch._C._nn.linear(
+            x_274,
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_274 = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_276 = torch.nn.functional.dropout(x_275, 0.0, False, False)
+        x_275 = None
+        x_277 = x_271 + x_276
+        x_271 = x_276 = None
+        layer_norm_46 = torch.nn.functional.layer_norm(
+            x_277,
+            (384,),
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_23_modules_norm1_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_norm1_parameters_bias_
+        ) = None
+        transpose_47 = layer_norm_46.transpose(1, 2)
+        layer_norm_46 = None
+        x_278 = torch._C._nn.linear(
+            transpose_47,
+            l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_bias_,
+        )
+        transpose_47 = l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_bias_ = (None)
+        chunk_46 = x_278.chunk(2, dim=-1)
+        x_278 = None
+        x1_46 = chunk_46[0]
+        x2_46 = chunk_46[1]
+        chunk_46 = None
+        silu_46 = torch.nn.functional.silu(x2_46, inplace=False)
+        x2_46 = None
+        x_279 = x1_46 * silu_46
+        x1_46 = silu_46 = None
+        x_280 = torch.nn.functional.dropout(x_279, 0.0, False, False)
+        x_279 = None
+        x_281 = torch._C._nn.linear(
+            x_280,
+            l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_bias_,
+        )
+        x_280 = l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_bias_ = (None)
+        x_282 = torch.nn.functional.dropout(x_281, 0.0, False, False)
+        x_281 = None
+        transpose_48 = x_282.transpose(1, 2)
+        x_282 = None
+        x_283 = x_277 + transpose_48
+        x_277 = transpose_48 = None
+        layer_norm_47 = torch.nn.functional.layer_norm(
+            x_283,
+            (384,),
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_23_modules_norm2_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_norm2_parameters_bias_
+        ) = None
+        x_284 = torch._C._nn.linear(
+            layer_norm_47,
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_47 = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        chunk_47 = x_284.chunk(2, dim=-1)
+        x_284 = None
+        x1_47 = chunk_47[0]
+        x2_47 = chunk_47[1]
+        chunk_47 = None
+        silu_47 = torch.nn.functional.silu(x2_47, inplace=False)
+        x2_47 = None
+        x_285 = x1_47 * silu_47
+        x1_47 = silu_47 = None
+        x_286 = torch.nn.functional.dropout(x_285, 0.0, False, False)
+        x_285 = None
+        x_287 = torch._C._nn.linear(
+            x_286,
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_286 = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_288 = torch.nn.functional.dropout(x_287, 0.0, False, False)
+        x_287 = None
+        x_289 = x_283 + x_288
+        x_283 = x_288 = None
+        x_290 = torch.nn.functional.layer_norm(
+            x_289,
+            (384,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_289 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_291 = x_290.mean(dim=1)
+        x_290 = None
+        x_292 = torch.nn.functional.dropout(x_291, 0.0, False, False)
+        x_291 = None
+        x_293 = torch._C._nn.linear(
+            x_292,
+            l_self_modules_head_parameters_weight_,
+            l_self_modules_head_parameters_bias_,
+        )
+        x_292 = (
+            l_self_modules_head_parameters_weight_
+        ) = l_self_modules_head_parameters_bias_ = None
+        return (x_293,)
diff --git a/samples/timm/gmixer_24_224.ra3_in1k/weight_meta.py b/samples/timm/gmixer_24_224.ra3_in1k/weight_meta.py
new file mode 100644
index 000000000..63f31c33e
--- /dev/null
+++ b/samples/timm/gmixer_24_224.ra3_in1k/weight_meta.py
@@ -0,0 +1,2948 @@
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.231
+    std = 1.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [384, 3, 16, 16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_weight_"
+    shape = [384, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.501
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_weight_"
+    shape = [196, 192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_tokens_modules_fc2_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.500
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [384, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_weight_:
+    name = "L_self_modules_head_parameters_weight_"
+    shape = [1000, 384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_bias_:
+    name = "L_self_modules_head_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/gmlp_s16_224.ra3_in1k/graph_hash.txt b/samples/timm/gmlp_s16_224.ra3_in1k/graph_hash.txt
new file mode 100644
index 000000000..a5cb227f7
--- /dev/null
+++ b/samples/timm/gmlp_s16_224.ra3_in1k/graph_hash.txt
@@ -0,0 +1 @@
+68b263fb68fdabdd1d6b3d84c47ea970c6f8befdee2ecc0acddd6ad507446adf
\ No newline at end of file
diff --git a/samples/timm/gmlp_s16_224.ra3_in1k/graph_net.json b/samples/timm/gmlp_s16_224.ra3_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/gmlp_s16_224.ra3_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/gmlp_s16_224.ra3_in1k/input_meta.py b/samples/timm/gmlp_s16_224.ra3_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/gmlp_s16_224.ra3_in1k/input_tensor_constraints.py b/samples/timm/gmlp_s16_224.ra3_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/gmlp_s16_224.ra3_in1k/model.py b/samples/timm/gmlp_s16_224.ra3_in1k/model.py
new file mode 100644
index 000000000..8b7468fa9
--- /dev/null
+++ b/samples/timm/gmlp_s16_224.ra3_in1k/model.py
@@ -0,0 +1,2434 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_24_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_24_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_25_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_25_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_26_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_26_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_27_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_27_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_28_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_28_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_29_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_29_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_norm_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_x_ = L_x_
+        l_self_modules_stem_modules_proj_parameters_weight_ = (
+            L_self_modules_stem_modules_proj_parameters_weight_
+        )
+        l_self_modules_stem_modules_proj_parameters_bias_ = (
+            L_self_modules_stem_modules_proj_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_7_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_7_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_7_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_8_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_8_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_8_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_9_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_9_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_9_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_9_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_10_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_10_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_10_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_11_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_11_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_11_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_12_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_12_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_12_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_13_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_13_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_13_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_14_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_14_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_14_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_15_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_15_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_15_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_16_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_16_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_16_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_17_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_17_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_17_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_18_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_18_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_18_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_19_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_19_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_19_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_20_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_20_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_20_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_21_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_21_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_21_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_22_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_22_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_22_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_23_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_23_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_23_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_24_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_24_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_24_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_24_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_25_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_25_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_25_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_25_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_26_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_26_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_26_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_26_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_27_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_27_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_27_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_27_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_28_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_28_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_28_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_28_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_blocks_modules_29_modules_norm_parameters_weight_ = (
+            L_self_modules_blocks_modules_29_modules_norm_parameters_weight_
+        )
+        l_self_modules_blocks_modules_29_modules_norm_parameters_bias_ = (
+            L_self_modules_blocks_modules_29_modules_norm_parameters_bias_
+        )
+        l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_weight_ = L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_weight_
+        l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_bias_ = L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_bias_
+        l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_
+        l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_
+        l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_
+        l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_
+        l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_weight_ = L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_weight_
+        l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_bias_ = L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_bias_
+        l_self_modules_norm_parameters_weight_ = L_self_modules_norm_parameters_weight_
+        l_self_modules_norm_parameters_bias_ = L_self_modules_norm_parameters_bias_
+        l_self_modules_head_parameters_weight_ = L_self_modules_head_parameters_weight_
+        l_self_modules_head_parameters_bias_ = L_self_modules_head_parameters_bias_
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_proj_parameters_weight_,
+            l_self_modules_stem_modules_proj_parameters_bias_,
+            (16, 16),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_proj_parameters_weight_
+        ) = l_self_modules_stem_modules_proj_parameters_bias_ = None
+        flatten = x.flatten(2)
+        x = None
+        x_1 = flatten.transpose(1, 2)
+        flatten = None
+        layer_norm = torch.nn.functional.layer_norm(
+            x_1,
+            (256,),
+            l_self_modules_blocks_modules_0_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_0_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_0_modules_norm_parameters_bias_
+        ) = None
+        x_2 = torch._C._nn.linear(
+            layer_norm,
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_3 = torch._C._nn.gelu(x_2, approximate="none")
+        x_2 = None
+        x_4 = torch.nn.functional.dropout(x_3, 0.0, False, False)
+        x_3 = None
+        chunk = x_4.chunk(2, dim=-1)
+        x_4 = None
+        u = chunk[0]
+        v = chunk[1]
+        chunk = None
+        v_1 = torch.nn.functional.layer_norm(
+            v,
+            (768,),
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_1 = v_1.transpose(-1, -2)
+        v_1 = None
+        v_2 = torch._C._nn.linear(
+            transpose_1,
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_1 = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_2 = v_2.transpose(-1, -2)
+        v_2 = None
+        x_5 = u * transpose_2
+        u = transpose_2 = None
+        x_6 = torch._C._nn.linear(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_5 = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_7 = torch.nn.functional.dropout(x_6, 0.0, False, False)
+        x_6 = None
+        x_8 = x_1 + x_7
+        x_1 = x_7 = None
+        layer_norm_2 = torch.nn.functional.layer_norm(
+            x_8,
+            (256,),
+            l_self_modules_blocks_modules_1_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_1_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_1_modules_norm_parameters_bias_
+        ) = None
+        x_9 = torch._C._nn.linear(
+            layer_norm_2,
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_2 = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_10 = torch._C._nn.gelu(x_9, approximate="none")
+        x_9 = None
+        x_11 = torch.nn.functional.dropout(x_10, 0.0, False, False)
+        x_10 = None
+        chunk_1 = x_11.chunk(2, dim=-1)
+        x_11 = None
+        u_1 = chunk_1[0]
+        v_3 = chunk_1[1]
+        chunk_1 = None
+        v_4 = torch.nn.functional.layer_norm(
+            v_3,
+            (768,),
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_3 = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_3 = v_4.transpose(-1, -2)
+        v_4 = None
+        v_5 = torch._C._nn.linear(
+            transpose_3,
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_3 = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_4 = v_5.transpose(-1, -2)
+        v_5 = None
+        x_12 = u_1 * transpose_4
+        u_1 = transpose_4 = None
+        x_13 = torch._C._nn.linear(
+            x_12,
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_12 = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_14 = torch.nn.functional.dropout(x_13, 0.0, False, False)
+        x_13 = None
+        x_15 = x_8 + x_14
+        x_8 = x_14 = None
+        layer_norm_4 = torch.nn.functional.layer_norm(
+            x_15,
+            (256,),
+            l_self_modules_blocks_modules_2_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_2_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_2_modules_norm_parameters_bias_
+        ) = None
+        x_16 = torch._C._nn.linear(
+            layer_norm_4,
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_4 = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_17 = torch._C._nn.gelu(x_16, approximate="none")
+        x_16 = None
+        x_18 = torch.nn.functional.dropout(x_17, 0.0, False, False)
+        x_17 = None
+        chunk_2 = x_18.chunk(2, dim=-1)
+        x_18 = None
+        u_2 = chunk_2[0]
+        v_6 = chunk_2[1]
+        chunk_2 = None
+        v_7 = torch.nn.functional.layer_norm(
+            v_6,
+            (768,),
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_6 = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_5 = v_7.transpose(-1, -2)
+        v_7 = None
+        v_8 = torch._C._nn.linear(
+            transpose_5,
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_5 = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_6 = v_8.transpose(-1, -2)
+        v_8 = None
+        x_19 = u_2 * transpose_6
+        u_2 = transpose_6 = None
+        x_20 = torch._C._nn.linear(
+            x_19,
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_19 = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_21 = torch.nn.functional.dropout(x_20, 0.0, False, False)
+        x_20 = None
+        x_22 = x_15 + x_21
+        x_15 = x_21 = None
+        layer_norm_6 = torch.nn.functional.layer_norm(
+            x_22,
+            (256,),
+            l_self_modules_blocks_modules_3_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_3_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_3_modules_norm_parameters_bias_
+        ) = None
+        x_23 = torch._C._nn.linear(
+            layer_norm_6,
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_6 = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_24 = torch._C._nn.gelu(x_23, approximate="none")
+        x_23 = None
+        x_25 = torch.nn.functional.dropout(x_24, 0.0, False, False)
+        x_24 = None
+        chunk_3 = x_25.chunk(2, dim=-1)
+        x_25 = None
+        u_3 = chunk_3[0]
+        v_9 = chunk_3[1]
+        chunk_3 = None
+        v_10 = torch.nn.functional.layer_norm(
+            v_9,
+            (768,),
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_9 = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_7 = v_10.transpose(-1, -2)
+        v_10 = None
+        v_11 = torch._C._nn.linear(
+            transpose_7,
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_7 = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_8 = v_11.transpose(-1, -2)
+        v_11 = None
+        x_26 = u_3 * transpose_8
+        u_3 = transpose_8 = None
+        x_27 = torch._C._nn.linear(
+            x_26,
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_26 = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.dropout(x_27, 0.0, False, False)
+        x_27 = None
+        x_29 = x_22 + x_28
+        x_22 = x_28 = None
+        layer_norm_8 = torch.nn.functional.layer_norm(
+            x_29,
+            (256,),
+            l_self_modules_blocks_modules_4_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_4_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_4_modules_norm_parameters_bias_
+        ) = None
+        x_30 = torch._C._nn.linear(
+            layer_norm_8,
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_8 = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_31 = torch._C._nn.gelu(x_30, approximate="none")
+        x_30 = None
+        x_32 = torch.nn.functional.dropout(x_31, 0.0, False, False)
+        x_31 = None
+        chunk_4 = x_32.chunk(2, dim=-1)
+        x_32 = None
+        u_4 = chunk_4[0]
+        v_12 = chunk_4[1]
+        chunk_4 = None
+        v_13 = torch.nn.functional.layer_norm(
+            v_12,
+            (768,),
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_12 = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_9 = v_13.transpose(-1, -2)
+        v_13 = None
+        v_14 = torch._C._nn.linear(
+            transpose_9,
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_9 = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_10 = v_14.transpose(-1, -2)
+        v_14 = None
+        x_33 = u_4 * transpose_10
+        u_4 = transpose_10 = None
+        x_34 = torch._C._nn.linear(
+            x_33,
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_33 = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_35 = torch.nn.functional.dropout(x_34, 0.0, False, False)
+        x_34 = None
+        x_36 = x_29 + x_35
+        x_29 = x_35 = None
+        layer_norm_10 = torch.nn.functional.layer_norm(
+            x_36,
+            (256,),
+            l_self_modules_blocks_modules_5_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_5_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_5_modules_norm_parameters_bias_
+        ) = None
+        x_37 = torch._C._nn.linear(
+            layer_norm_10,
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_10 = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_38 = torch._C._nn.gelu(x_37, approximate="none")
+        x_37 = None
+        x_39 = torch.nn.functional.dropout(x_38, 0.0, False, False)
+        x_38 = None
+        chunk_5 = x_39.chunk(2, dim=-1)
+        x_39 = None
+        u_5 = chunk_5[0]
+        v_15 = chunk_5[1]
+        chunk_5 = None
+        v_16 = torch.nn.functional.layer_norm(
+            v_15,
+            (768,),
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_15 = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_11 = v_16.transpose(-1, -2)
+        v_16 = None
+        v_17 = torch._C._nn.linear(
+            transpose_11,
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_11 = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_12 = v_17.transpose(-1, -2)
+        v_17 = None
+        x_40 = u_5 * transpose_12
+        u_5 = transpose_12 = None
+        x_41 = torch._C._nn.linear(
+            x_40,
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_40 = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.dropout(x_41, 0.0, False, False)
+        x_41 = None
+        x_43 = x_36 + x_42
+        x_36 = x_42 = None
+        layer_norm_12 = torch.nn.functional.layer_norm(
+            x_43,
+            (256,),
+            l_self_modules_blocks_modules_6_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_6_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_6_modules_norm_parameters_bias_
+        ) = None
+        x_44 = torch._C._nn.linear(
+            layer_norm_12,
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_12 = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_45 = torch._C._nn.gelu(x_44, approximate="none")
+        x_44 = None
+        x_46 = torch.nn.functional.dropout(x_45, 0.0, False, False)
+        x_45 = None
+        chunk_6 = x_46.chunk(2, dim=-1)
+        x_46 = None
+        u_6 = chunk_6[0]
+        v_18 = chunk_6[1]
+        chunk_6 = None
+        v_19 = torch.nn.functional.layer_norm(
+            v_18,
+            (768,),
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_18 = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_13 = v_19.transpose(-1, -2)
+        v_19 = None
+        v_20 = torch._C._nn.linear(
+            transpose_13,
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_13 = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_14 = v_20.transpose(-1, -2)
+        v_20 = None
+        x_47 = u_6 * transpose_14
+        u_6 = transpose_14 = None
+        x_48 = torch._C._nn.linear(
+            x_47,
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_47 = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_49 = torch.nn.functional.dropout(x_48, 0.0, False, False)
+        x_48 = None
+        x_50 = x_43 + x_49
+        x_43 = x_49 = None
+        layer_norm_14 = torch.nn.functional.layer_norm(
+            x_50,
+            (256,),
+            l_self_modules_blocks_modules_7_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_7_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_7_modules_norm_parameters_bias_
+        ) = None
+        x_51 = torch._C._nn.linear(
+            layer_norm_14,
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_14 = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_52 = torch._C._nn.gelu(x_51, approximate="none")
+        x_51 = None
+        x_53 = torch.nn.functional.dropout(x_52, 0.0, False, False)
+        x_52 = None
+        chunk_7 = x_53.chunk(2, dim=-1)
+        x_53 = None
+        u_7 = chunk_7[0]
+        v_21 = chunk_7[1]
+        chunk_7 = None
+        v_22 = torch.nn.functional.layer_norm(
+            v_21,
+            (768,),
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_21 = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_15 = v_22.transpose(-1, -2)
+        v_22 = None
+        v_23 = torch._C._nn.linear(
+            transpose_15,
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_15 = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_16 = v_23.transpose(-1, -2)
+        v_23 = None
+        x_54 = u_7 * transpose_16
+        u_7 = transpose_16 = None
+        x_55 = torch._C._nn.linear(
+            x_54,
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_54 = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_56 = torch.nn.functional.dropout(x_55, 0.0, False, False)
+        x_55 = None
+        x_57 = x_50 + x_56
+        x_50 = x_56 = None
+        layer_norm_16 = torch.nn.functional.layer_norm(
+            x_57,
+            (256,),
+            l_self_modules_blocks_modules_8_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_8_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_8_modules_norm_parameters_bias_
+        ) = None
+        x_58 = torch._C._nn.linear(
+            layer_norm_16,
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_16 = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_59 = torch._C._nn.gelu(x_58, approximate="none")
+        x_58 = None
+        x_60 = torch.nn.functional.dropout(x_59, 0.0, False, False)
+        x_59 = None
+        chunk_8 = x_60.chunk(2, dim=-1)
+        x_60 = None
+        u_8 = chunk_8[0]
+        v_24 = chunk_8[1]
+        chunk_8 = None
+        v_25 = torch.nn.functional.layer_norm(
+            v_24,
+            (768,),
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_24 = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_17 = v_25.transpose(-1, -2)
+        v_25 = None
+        v_26 = torch._C._nn.linear(
+            transpose_17,
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_17 = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_18 = v_26.transpose(-1, -2)
+        v_26 = None
+        x_61 = u_8 * transpose_18
+        u_8 = transpose_18 = None
+        x_62 = torch._C._nn.linear(
+            x_61,
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_61 = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_63 = torch.nn.functional.dropout(x_62, 0.0, False, False)
+        x_62 = None
+        x_64 = x_57 + x_63
+        x_57 = x_63 = None
+        layer_norm_18 = torch.nn.functional.layer_norm(
+            x_64,
+            (256,),
+            l_self_modules_blocks_modules_9_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_9_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_9_modules_norm_parameters_bias_
+        ) = None
+        x_65 = torch._C._nn.linear(
+            layer_norm_18,
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_18 = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_66 = torch._C._nn.gelu(x_65, approximate="none")
+        x_65 = None
+        x_67 = torch.nn.functional.dropout(x_66, 0.0, False, False)
+        x_66 = None
+        chunk_9 = x_67.chunk(2, dim=-1)
+        x_67 = None
+        u_9 = chunk_9[0]
+        v_27 = chunk_9[1]
+        chunk_9 = None
+        v_28 = torch.nn.functional.layer_norm(
+            v_27,
+            (768,),
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_27 = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_19 = v_28.transpose(-1, -2)
+        v_28 = None
+        v_29 = torch._C._nn.linear(
+            transpose_19,
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_19 = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_20 = v_29.transpose(-1, -2)
+        v_29 = None
+        x_68 = u_9 * transpose_20
+        u_9 = transpose_20 = None
+        x_69 = torch._C._nn.linear(
+            x_68,
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_68 = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_70 = torch.nn.functional.dropout(x_69, 0.0, False, False)
+        x_69 = None
+        x_71 = x_64 + x_70
+        x_64 = x_70 = None
+        layer_norm_20 = torch.nn.functional.layer_norm(
+            x_71,
+            (256,),
+            l_self_modules_blocks_modules_10_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_10_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_10_modules_norm_parameters_bias_
+        ) = None
+        x_72 = torch._C._nn.linear(
+            layer_norm_20,
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_20 = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_73 = torch._C._nn.gelu(x_72, approximate="none")
+        x_72 = None
+        x_74 = torch.nn.functional.dropout(x_73, 0.0, False, False)
+        x_73 = None
+        chunk_10 = x_74.chunk(2, dim=-1)
+        x_74 = None
+        u_10 = chunk_10[0]
+        v_30 = chunk_10[1]
+        chunk_10 = None
+        v_31 = torch.nn.functional.layer_norm(
+            v_30,
+            (768,),
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_30 = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_21 = v_31.transpose(-1, -2)
+        v_31 = None
+        v_32 = torch._C._nn.linear(
+            transpose_21,
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_21 = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_22 = v_32.transpose(-1, -2)
+        v_32 = None
+        x_75 = u_10 * transpose_22
+        u_10 = transpose_22 = None
+        x_76 = torch._C._nn.linear(
+            x_75,
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_75 = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_77 = torch.nn.functional.dropout(x_76, 0.0, False, False)
+        x_76 = None
+        x_78 = x_71 + x_77
+        x_71 = x_77 = None
+        layer_norm_22 = torch.nn.functional.layer_norm(
+            x_78,
+            (256,),
+            l_self_modules_blocks_modules_11_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_11_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_11_modules_norm_parameters_bias_
+        ) = None
+        x_79 = torch._C._nn.linear(
+            layer_norm_22,
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_22 = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_80 = torch._C._nn.gelu(x_79, approximate="none")
+        x_79 = None
+        x_81 = torch.nn.functional.dropout(x_80, 0.0, False, False)
+        x_80 = None
+        chunk_11 = x_81.chunk(2, dim=-1)
+        x_81 = None
+        u_11 = chunk_11[0]
+        v_33 = chunk_11[1]
+        chunk_11 = None
+        v_34 = torch.nn.functional.layer_norm(
+            v_33,
+            (768,),
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_33 = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_23 = v_34.transpose(-1, -2)
+        v_34 = None
+        v_35 = torch._C._nn.linear(
+            transpose_23,
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_23 = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_24 = v_35.transpose(-1, -2)
+        v_35 = None
+        x_82 = u_11 * transpose_24
+        u_11 = transpose_24 = None
+        x_83 = torch._C._nn.linear(
+            x_82,
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_82 = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.dropout(x_83, 0.0, False, False)
+        x_83 = None
+        x_85 = x_78 + x_84
+        x_78 = x_84 = None
+        layer_norm_24 = torch.nn.functional.layer_norm(
+            x_85,
+            (256,),
+            l_self_modules_blocks_modules_12_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_12_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_12_modules_norm_parameters_bias_
+        ) = None
+        x_86 = torch._C._nn.linear(
+            layer_norm_24,
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_24 = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_87 = torch._C._nn.gelu(x_86, approximate="none")
+        x_86 = None
+        x_88 = torch.nn.functional.dropout(x_87, 0.0, False, False)
+        x_87 = None
+        chunk_12 = x_88.chunk(2, dim=-1)
+        x_88 = None
+        u_12 = chunk_12[0]
+        v_36 = chunk_12[1]
+        chunk_12 = None
+        v_37 = torch.nn.functional.layer_norm(
+            v_36,
+            (768,),
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_36 = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_25 = v_37.transpose(-1, -2)
+        v_37 = None
+        v_38 = torch._C._nn.linear(
+            transpose_25,
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_25 = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_26 = v_38.transpose(-1, -2)
+        v_38 = None
+        x_89 = u_12 * transpose_26
+        u_12 = transpose_26 = None
+        x_90 = torch._C._nn.linear(
+            x_89,
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_89 = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_91 = torch.nn.functional.dropout(x_90, 0.0, False, False)
+        x_90 = None
+        x_92 = x_85 + x_91
+        x_85 = x_91 = None
+        layer_norm_26 = torch.nn.functional.layer_norm(
+            x_92,
+            (256,),
+            l_self_modules_blocks_modules_13_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_13_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_13_modules_norm_parameters_bias_
+        ) = None
+        x_93 = torch._C._nn.linear(
+            layer_norm_26,
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_26 = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_94 = torch._C._nn.gelu(x_93, approximate="none")
+        x_93 = None
+        x_95 = torch.nn.functional.dropout(x_94, 0.0, False, False)
+        x_94 = None
+        chunk_13 = x_95.chunk(2, dim=-1)
+        x_95 = None
+        u_13 = chunk_13[0]
+        v_39 = chunk_13[1]
+        chunk_13 = None
+        v_40 = torch.nn.functional.layer_norm(
+            v_39,
+            (768,),
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_39 = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_27 = v_40.transpose(-1, -2)
+        v_40 = None
+        v_41 = torch._C._nn.linear(
+            transpose_27,
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_27 = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_28 = v_41.transpose(-1, -2)
+        v_41 = None
+        x_96 = u_13 * transpose_28
+        u_13 = transpose_28 = None
+        x_97 = torch._C._nn.linear(
+            x_96,
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_96 = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.dropout(x_97, 0.0, False, False)
+        x_97 = None
+        x_99 = x_92 + x_98
+        x_92 = x_98 = None
+        layer_norm_28 = torch.nn.functional.layer_norm(
+            x_99,
+            (256,),
+            l_self_modules_blocks_modules_14_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_14_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_14_modules_norm_parameters_bias_
+        ) = None
+        x_100 = torch._C._nn.linear(
+            layer_norm_28,
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_28 = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_101 = torch._C._nn.gelu(x_100, approximate="none")
+        x_100 = None
+        x_102 = torch.nn.functional.dropout(x_101, 0.0, False, False)
+        x_101 = None
+        chunk_14 = x_102.chunk(2, dim=-1)
+        x_102 = None
+        u_14 = chunk_14[0]
+        v_42 = chunk_14[1]
+        chunk_14 = None
+        v_43 = torch.nn.functional.layer_norm(
+            v_42,
+            (768,),
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_42 = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_29 = v_43.transpose(-1, -2)
+        v_43 = None
+        v_44 = torch._C._nn.linear(
+            transpose_29,
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_29 = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_30 = v_44.transpose(-1, -2)
+        v_44 = None
+        x_103 = u_14 * transpose_30
+        u_14 = transpose_30 = None
+        x_104 = torch._C._nn.linear(
+            x_103,
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_103 = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_105 = torch.nn.functional.dropout(x_104, 0.0, False, False)
+        x_104 = None
+        x_106 = x_99 + x_105
+        x_99 = x_105 = None
+        layer_norm_30 = torch.nn.functional.layer_norm(
+            x_106,
+            (256,),
+            l_self_modules_blocks_modules_15_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_15_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_15_modules_norm_parameters_bias_
+        ) = None
+        x_107 = torch._C._nn.linear(
+            layer_norm_30,
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_30 = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_108 = torch._C._nn.gelu(x_107, approximate="none")
+        x_107 = None
+        x_109 = torch.nn.functional.dropout(x_108, 0.0, False, False)
+        x_108 = None
+        chunk_15 = x_109.chunk(2, dim=-1)
+        x_109 = None
+        u_15 = chunk_15[0]
+        v_45 = chunk_15[1]
+        chunk_15 = None
+        v_46 = torch.nn.functional.layer_norm(
+            v_45,
+            (768,),
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_45 = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_31 = v_46.transpose(-1, -2)
+        v_46 = None
+        v_47 = torch._C._nn.linear(
+            transpose_31,
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_31 = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_32 = v_47.transpose(-1, -2)
+        v_47 = None
+        x_110 = u_15 * transpose_32
+        u_15 = transpose_32 = None
+        x_111 = torch._C._nn.linear(
+            x_110,
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_110 = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.dropout(x_111, 0.0, False, False)
+        x_111 = None
+        x_113 = x_106 + x_112
+        x_106 = x_112 = None
+        layer_norm_32 = torch.nn.functional.layer_norm(
+            x_113,
+            (256,),
+            l_self_modules_blocks_modules_16_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_16_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_16_modules_norm_parameters_bias_
+        ) = None
+        x_114 = torch._C._nn.linear(
+            layer_norm_32,
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_32 = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_115 = torch._C._nn.gelu(x_114, approximate="none")
+        x_114 = None
+        x_116 = torch.nn.functional.dropout(x_115, 0.0, False, False)
+        x_115 = None
+        chunk_16 = x_116.chunk(2, dim=-1)
+        x_116 = None
+        u_16 = chunk_16[0]
+        v_48 = chunk_16[1]
+        chunk_16 = None
+        v_49 = torch.nn.functional.layer_norm(
+            v_48,
+            (768,),
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_48 = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_33 = v_49.transpose(-1, -2)
+        v_49 = None
+        v_50 = torch._C._nn.linear(
+            transpose_33,
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_33 = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_34 = v_50.transpose(-1, -2)
+        v_50 = None
+        x_117 = u_16 * transpose_34
+        u_16 = transpose_34 = None
+        x_118 = torch._C._nn.linear(
+            x_117,
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_117 = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_119 = torch.nn.functional.dropout(x_118, 0.0, False, False)
+        x_118 = None
+        x_120 = x_113 + x_119
+        x_113 = x_119 = None
+        layer_norm_34 = torch.nn.functional.layer_norm(
+            x_120,
+            (256,),
+            l_self_modules_blocks_modules_17_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_17_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_17_modules_norm_parameters_bias_
+        ) = None
+        x_121 = torch._C._nn.linear(
+            layer_norm_34,
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_34 = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_122 = torch._C._nn.gelu(x_121, approximate="none")
+        x_121 = None
+        x_123 = torch.nn.functional.dropout(x_122, 0.0, False, False)
+        x_122 = None
+        chunk_17 = x_123.chunk(2, dim=-1)
+        x_123 = None
+        u_17 = chunk_17[0]
+        v_51 = chunk_17[1]
+        chunk_17 = None
+        v_52 = torch.nn.functional.layer_norm(
+            v_51,
+            (768,),
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_51 = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_35 = v_52.transpose(-1, -2)
+        v_52 = None
+        v_53 = torch._C._nn.linear(
+            transpose_35,
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_35 = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_36 = v_53.transpose(-1, -2)
+        v_53 = None
+        x_124 = u_17 * transpose_36
+        u_17 = transpose_36 = None
+        x_125 = torch._C._nn.linear(
+            x_124,
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_124 = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_126 = torch.nn.functional.dropout(x_125, 0.0, False, False)
+        x_125 = None
+        x_127 = x_120 + x_126
+        x_120 = x_126 = None
+        layer_norm_36 = torch.nn.functional.layer_norm(
+            x_127,
+            (256,),
+            l_self_modules_blocks_modules_18_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_18_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_18_modules_norm_parameters_bias_
+        ) = None
+        x_128 = torch._C._nn.linear(
+            layer_norm_36,
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_36 = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_129 = torch._C._nn.gelu(x_128, approximate="none")
+        x_128 = None
+        x_130 = torch.nn.functional.dropout(x_129, 0.0, False, False)
+        x_129 = None
+        chunk_18 = x_130.chunk(2, dim=-1)
+        x_130 = None
+        u_18 = chunk_18[0]
+        v_54 = chunk_18[1]
+        chunk_18 = None
+        v_55 = torch.nn.functional.layer_norm(
+            v_54,
+            (768,),
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_54 = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_37 = v_55.transpose(-1, -2)
+        v_55 = None
+        v_56 = torch._C._nn.linear(
+            transpose_37,
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_37 = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_38 = v_56.transpose(-1, -2)
+        v_56 = None
+        x_131 = u_18 * transpose_38
+        u_18 = transpose_38 = None
+        x_132 = torch._C._nn.linear(
+            x_131,
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_131 = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_133 = torch.nn.functional.dropout(x_132, 0.0, False, False)
+        x_132 = None
+        x_134 = x_127 + x_133
+        x_127 = x_133 = None
+        layer_norm_38 = torch.nn.functional.layer_norm(
+            x_134,
+            (256,),
+            l_self_modules_blocks_modules_19_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_19_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_19_modules_norm_parameters_bias_
+        ) = None
+        x_135 = torch._C._nn.linear(
+            layer_norm_38,
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_38 = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_136 = torch._C._nn.gelu(x_135, approximate="none")
+        x_135 = None
+        x_137 = torch.nn.functional.dropout(x_136, 0.0, False, False)
+        x_136 = None
+        chunk_19 = x_137.chunk(2, dim=-1)
+        x_137 = None
+        u_19 = chunk_19[0]
+        v_57 = chunk_19[1]
+        chunk_19 = None
+        v_58 = torch.nn.functional.layer_norm(
+            v_57,
+            (768,),
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_57 = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_39 = v_58.transpose(-1, -2)
+        v_58 = None
+        v_59 = torch._C._nn.linear(
+            transpose_39,
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_39 = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_40 = v_59.transpose(-1, -2)
+        v_59 = None
+        x_138 = u_19 * transpose_40
+        u_19 = transpose_40 = None
+        x_139 = torch._C._nn.linear(
+            x_138,
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_138 = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_140 = torch.nn.functional.dropout(x_139, 0.0, False, False)
+        x_139 = None
+        x_141 = x_134 + x_140
+        x_134 = x_140 = None
+        layer_norm_40 = torch.nn.functional.layer_norm(
+            x_141,
+            (256,),
+            l_self_modules_blocks_modules_20_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_20_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_20_modules_norm_parameters_bias_
+        ) = None
+        x_142 = torch._C._nn.linear(
+            layer_norm_40,
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_40 = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_143 = torch._C._nn.gelu(x_142, approximate="none")
+        x_142 = None
+        x_144 = torch.nn.functional.dropout(x_143, 0.0, False, False)
+        x_143 = None
+        chunk_20 = x_144.chunk(2, dim=-1)
+        x_144 = None
+        u_20 = chunk_20[0]
+        v_60 = chunk_20[1]
+        chunk_20 = None
+        v_61 = torch.nn.functional.layer_norm(
+            v_60,
+            (768,),
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_60 = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_41 = v_61.transpose(-1, -2)
+        v_61 = None
+        v_62 = torch._C._nn.linear(
+            transpose_41,
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_41 = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_42 = v_62.transpose(-1, -2)
+        v_62 = None
+        x_145 = u_20 * transpose_42
+        u_20 = transpose_42 = None
+        x_146 = torch._C._nn.linear(
+            x_145,
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_145 = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_147 = torch.nn.functional.dropout(x_146, 0.0, False, False)
+        x_146 = None
+        x_148 = x_141 + x_147
+        x_141 = x_147 = None
+        layer_norm_42 = torch.nn.functional.layer_norm(
+            x_148,
+            (256,),
+            l_self_modules_blocks_modules_21_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_21_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_21_modules_norm_parameters_bias_
+        ) = None
+        x_149 = torch._C._nn.linear(
+            layer_norm_42,
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_42 = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_150 = torch._C._nn.gelu(x_149, approximate="none")
+        x_149 = None
+        x_151 = torch.nn.functional.dropout(x_150, 0.0, False, False)
+        x_150 = None
+        chunk_21 = x_151.chunk(2, dim=-1)
+        x_151 = None
+        u_21 = chunk_21[0]
+        v_63 = chunk_21[1]
+        chunk_21 = None
+        v_64 = torch.nn.functional.layer_norm(
+            v_63,
+            (768,),
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_63 = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_43 = v_64.transpose(-1, -2)
+        v_64 = None
+        v_65 = torch._C._nn.linear(
+            transpose_43,
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_43 = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_44 = v_65.transpose(-1, -2)
+        v_65 = None
+        x_152 = u_21 * transpose_44
+        u_21 = transpose_44 = None
+        x_153 = torch._C._nn.linear(
+            x_152,
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_152 = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_154 = torch.nn.functional.dropout(x_153, 0.0, False, False)
+        x_153 = None
+        x_155 = x_148 + x_154
+        x_148 = x_154 = None
+        layer_norm_44 = torch.nn.functional.layer_norm(
+            x_155,
+            (256,),
+            l_self_modules_blocks_modules_22_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_22_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_22_modules_norm_parameters_bias_
+        ) = None
+        x_156 = torch._C._nn.linear(
+            layer_norm_44,
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_44 = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_157 = torch._C._nn.gelu(x_156, approximate="none")
+        x_156 = None
+        x_158 = torch.nn.functional.dropout(x_157, 0.0, False, False)
+        x_157 = None
+        chunk_22 = x_158.chunk(2, dim=-1)
+        x_158 = None
+        u_22 = chunk_22[0]
+        v_66 = chunk_22[1]
+        chunk_22 = None
+        v_67 = torch.nn.functional.layer_norm(
+            v_66,
+            (768,),
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_66 = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_45 = v_67.transpose(-1, -2)
+        v_67 = None
+        v_68 = torch._C._nn.linear(
+            transpose_45,
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_45 = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_46 = v_68.transpose(-1, -2)
+        v_68 = None
+        x_159 = u_22 * transpose_46
+        u_22 = transpose_46 = None
+        x_160 = torch._C._nn.linear(
+            x_159,
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_159 = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_161 = torch.nn.functional.dropout(x_160, 0.0, False, False)
+        x_160 = None
+        x_162 = x_155 + x_161
+        x_155 = x_161 = None
+        layer_norm_46 = torch.nn.functional.layer_norm(
+            x_162,
+            (256,),
+            l_self_modules_blocks_modules_23_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_23_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_23_modules_norm_parameters_bias_
+        ) = None
+        x_163 = torch._C._nn.linear(
+            layer_norm_46,
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_46 = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_164 = torch._C._nn.gelu(x_163, approximate="none")
+        x_163 = None
+        x_165 = torch.nn.functional.dropout(x_164, 0.0, False, False)
+        x_164 = None
+        chunk_23 = x_165.chunk(2, dim=-1)
+        x_165 = None
+        u_23 = chunk_23[0]
+        v_69 = chunk_23[1]
+        chunk_23 = None
+        v_70 = torch.nn.functional.layer_norm(
+            v_69,
+            (768,),
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_69 = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_47 = v_70.transpose(-1, -2)
+        v_70 = None
+        v_71 = torch._C._nn.linear(
+            transpose_47,
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_47 = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_48 = v_71.transpose(-1, -2)
+        v_71 = None
+        x_166 = u_23 * transpose_48
+        u_23 = transpose_48 = None
+        x_167 = torch._C._nn.linear(
+            x_166,
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_166 = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_168 = torch.nn.functional.dropout(x_167, 0.0, False, False)
+        x_167 = None
+        x_169 = x_162 + x_168
+        x_162 = x_168 = None
+        layer_norm_48 = torch.nn.functional.layer_norm(
+            x_169,
+            (256,),
+            l_self_modules_blocks_modules_24_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_24_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_24_modules_norm_parameters_bias_
+        ) = None
+        x_170 = torch._C._nn.linear(
+            layer_norm_48,
+            l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_48 = l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_171 = torch._C._nn.gelu(x_170, approximate="none")
+        x_170 = None
+        x_172 = torch.nn.functional.dropout(x_171, 0.0, False, False)
+        x_171 = None
+        chunk_24 = x_172.chunk(2, dim=-1)
+        x_172 = None
+        u_24 = chunk_24[0]
+        v_72 = chunk_24[1]
+        chunk_24 = None
+        v_73 = torch.nn.functional.layer_norm(
+            v_72,
+            (768,),
+            l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_72 = l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_49 = v_73.transpose(-1, -2)
+        v_73 = None
+        v_74 = torch._C._nn.linear(
+            transpose_49,
+            l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_49 = l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_50 = v_74.transpose(-1, -2)
+        v_74 = None
+        x_173 = u_24 * transpose_50
+        u_24 = transpose_50 = None
+        x_174 = torch._C._nn.linear(
+            x_173,
+            l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_173 = l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_175 = torch.nn.functional.dropout(x_174, 0.0, False, False)
+        x_174 = None
+        x_176 = x_169 + x_175
+        x_169 = x_175 = None
+        layer_norm_50 = torch.nn.functional.layer_norm(
+            x_176,
+            (256,),
+            l_self_modules_blocks_modules_25_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_25_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_25_modules_norm_parameters_bias_
+        ) = None
+        x_177 = torch._C._nn.linear(
+            layer_norm_50,
+            l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_50 = l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_178 = torch._C._nn.gelu(x_177, approximate="none")
+        x_177 = None
+        x_179 = torch.nn.functional.dropout(x_178, 0.0, False, False)
+        x_178 = None
+        chunk_25 = x_179.chunk(2, dim=-1)
+        x_179 = None
+        u_25 = chunk_25[0]
+        v_75 = chunk_25[1]
+        chunk_25 = None
+        v_76 = torch.nn.functional.layer_norm(
+            v_75,
+            (768,),
+            l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_75 = l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_51 = v_76.transpose(-1, -2)
+        v_76 = None
+        v_77 = torch._C._nn.linear(
+            transpose_51,
+            l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_51 = l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_52 = v_77.transpose(-1, -2)
+        v_77 = None
+        x_180 = u_25 * transpose_52
+        u_25 = transpose_52 = None
+        x_181 = torch._C._nn.linear(
+            x_180,
+            l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_180 = l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_182 = torch.nn.functional.dropout(x_181, 0.0, False, False)
+        x_181 = None
+        x_183 = x_176 + x_182
+        x_176 = x_182 = None
+        layer_norm_52 = torch.nn.functional.layer_norm(
+            x_183,
+            (256,),
+            l_self_modules_blocks_modules_26_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_26_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_26_modules_norm_parameters_bias_
+        ) = None
+        x_184 = torch._C._nn.linear(
+            layer_norm_52,
+            l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_52 = l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_185 = torch._C._nn.gelu(x_184, approximate="none")
+        x_184 = None
+        x_186 = torch.nn.functional.dropout(x_185, 0.0, False, False)
+        x_185 = None
+        chunk_26 = x_186.chunk(2, dim=-1)
+        x_186 = None
+        u_26 = chunk_26[0]
+        v_78 = chunk_26[1]
+        chunk_26 = None
+        v_79 = torch.nn.functional.layer_norm(
+            v_78,
+            (768,),
+            l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_78 = l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_53 = v_79.transpose(-1, -2)
+        v_79 = None
+        v_80 = torch._C._nn.linear(
+            transpose_53,
+            l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_53 = l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_54 = v_80.transpose(-1, -2)
+        v_80 = None
+        x_187 = u_26 * transpose_54
+        u_26 = transpose_54 = None
+        x_188 = torch._C._nn.linear(
+            x_187,
+            l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_187 = l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_189 = torch.nn.functional.dropout(x_188, 0.0, False, False)
+        x_188 = None
+        x_190 = x_183 + x_189
+        x_183 = x_189 = None
+        layer_norm_54 = torch.nn.functional.layer_norm(
+            x_190,
+            (256,),
+            l_self_modules_blocks_modules_27_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_27_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_27_modules_norm_parameters_bias_
+        ) = None
+        x_191 = torch._C._nn.linear(
+            layer_norm_54,
+            l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_54 = l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_192 = torch._C._nn.gelu(x_191, approximate="none")
+        x_191 = None
+        x_193 = torch.nn.functional.dropout(x_192, 0.0, False, False)
+        x_192 = None
+        chunk_27 = x_193.chunk(2, dim=-1)
+        x_193 = None
+        u_27 = chunk_27[0]
+        v_81 = chunk_27[1]
+        chunk_27 = None
+        v_82 = torch.nn.functional.layer_norm(
+            v_81,
+            (768,),
+            l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_81 = l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_55 = v_82.transpose(-1, -2)
+        v_82 = None
+        v_83 = torch._C._nn.linear(
+            transpose_55,
+            l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_55 = l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_56 = v_83.transpose(-1, -2)
+        v_83 = None
+        x_194 = u_27 * transpose_56
+        u_27 = transpose_56 = None
+        x_195 = torch._C._nn.linear(
+            x_194,
+            l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_194 = l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_196 = torch.nn.functional.dropout(x_195, 0.0, False, False)
+        x_195 = None
+        x_197 = x_190 + x_196
+        x_190 = x_196 = None
+        layer_norm_56 = torch.nn.functional.layer_norm(
+            x_197,
+            (256,),
+            l_self_modules_blocks_modules_28_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_28_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_28_modules_norm_parameters_bias_
+        ) = None
+        x_198 = torch._C._nn.linear(
+            layer_norm_56,
+            l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_56 = l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_199 = torch._C._nn.gelu(x_198, approximate="none")
+        x_198 = None
+        x_200 = torch.nn.functional.dropout(x_199, 0.0, False, False)
+        x_199 = None
+        chunk_28 = x_200.chunk(2, dim=-1)
+        x_200 = None
+        u_28 = chunk_28[0]
+        v_84 = chunk_28[1]
+        chunk_28 = None
+        v_85 = torch.nn.functional.layer_norm(
+            v_84,
+            (768,),
+            l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_84 = l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_57 = v_85.transpose(-1, -2)
+        v_85 = None
+        v_86 = torch._C._nn.linear(
+            transpose_57,
+            l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_57 = l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_58 = v_86.transpose(-1, -2)
+        v_86 = None
+        x_201 = u_28 * transpose_58
+        u_28 = transpose_58 = None
+        x_202 = torch._C._nn.linear(
+            x_201,
+            l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_201 = l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_203 = torch.nn.functional.dropout(x_202, 0.0, False, False)
+        x_202 = None
+        x_204 = x_197 + x_203
+        x_197 = x_203 = None
+        layer_norm_58 = torch.nn.functional.layer_norm(
+            x_204,
+            (256,),
+            l_self_modules_blocks_modules_29_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        l_self_modules_blocks_modules_29_modules_norm_parameters_weight_ = (
+            l_self_modules_blocks_modules_29_modules_norm_parameters_bias_
+        ) = None
+        x_205 = torch._C._nn.linear(
+            layer_norm_58,
+            l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_bias_,
+        )
+        layer_norm_58 = l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_weight_ = l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_bias_ = (None)
+        x_206 = torch._C._nn.gelu(x_205, approximate="none")
+        x_205 = None
+        x_207 = torch.nn.functional.dropout(x_206, 0.0, False, False)
+        x_206 = None
+        chunk_29 = x_207.chunk(2, dim=-1)
+        x_207 = None
+        u_29 = chunk_29[0]
+        v_87 = chunk_29[1]
+        chunk_29 = None
+        v_88 = torch.nn.functional.layer_norm(
+            v_87,
+            (768,),
+            l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_,
+            1e-05,
+        )
+        v_87 = l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_ = l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_ = (None)
+        transpose_59 = v_88.transpose(-1, -2)
+        v_88 = None
+        v_89 = torch._C._nn.linear(
+            transpose_59,
+            l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_,
+        )
+        transpose_59 = l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_ = l_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_ = (None)
+        transpose_60 = v_89.transpose(-1, -2)
+        v_89 = None
+        x_208 = u_29 * transpose_60
+        u_29 = transpose_60 = None
+        x_209 = torch._C._nn.linear(
+            x_208,
+            l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_weight_,
+            l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_bias_,
+        )
+        x_208 = l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_weight_ = l_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_bias_ = (None)
+        x_210 = torch.nn.functional.dropout(x_209, 0.0, False, False)
+        x_209 = None
+        x_211 = x_204 + x_210
+        x_204 = x_210 = None
+        x_212 = torch.nn.functional.layer_norm(
+            x_211,
+            (256,),
+            l_self_modules_norm_parameters_weight_,
+            l_self_modules_norm_parameters_bias_,
+            1e-06,
+        )
+        x_211 = (
+            l_self_modules_norm_parameters_weight_
+        ) = l_self_modules_norm_parameters_bias_ = None
+        x_213 = x_212.mean(dim=1)
+        x_212 = None
+        x_214 = torch.nn.functional.dropout(x_213, 0.0, False, False)
+        x_213 = None
+        x_215 = torch._C._nn.linear(
+            x_214,
+            l_self_modules_head_parameters_weight_,
+            l_self_modules_head_parameters_bias_,
+        )
+        x_214 = (
+            l_self_modules_head_parameters_weight_
+        ) = l_self_modules_head_parameters_bias_ = None
+        return (x_215,)
diff --git a/samples/timm/gmlp_s16_224.ra3_in1k/weight_meta.py b/samples/timm/gmlp_s16_224.ra3_in1k/weight_meta.py
new file mode 100644
index 000000000..1b47b88df
--- /dev/null
+++ b/samples/timm/gmlp_s16_224.ra3_in1k/weight_meta.py
@@ -0,0 +1,3068 @@
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.225
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_weight_:
+    name = "L_self_modules_stem_modules_proj_parameters_weight_"
+    shape = [256, 3, 16, 16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_proj_parameters_bias_:
+    name = "L_self_modules_stem_modules_proj_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_7_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_8_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_9_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_10_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_11_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_12_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_13_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_14_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_15_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_16_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_17_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_18_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_19_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_20_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_21_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_22_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_23_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_24_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_25_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_26_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_27_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_28_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_weight_"
+    shape = [1536, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc1_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_norm_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_weight_"
+    shape = [196, 196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_channels_modules_gate_modules_proj_parameters_bias_"
+    shape = [196]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_weight_"
+    shape = [256, 768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_29_modules_mlp_channels_modules_fc2_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_weight_:
+    name = "L_self_modules_norm_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_norm_parameters_bias_:
+    name = "L_self_modules_norm_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_weight_:
+    name = "L_self_modules_head_parameters_weight_"
+    shape = [1000, 256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_parameters_bias_:
+    name = "L_self_modules_head_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hardcorenas_a.miil_green_in1k/graph_hash.txt b/samples/timm/hardcorenas_a.miil_green_in1k/graph_hash.txt
new file mode 100644
index 000000000..e365c53ce
--- /dev/null
+++ b/samples/timm/hardcorenas_a.miil_green_in1k/graph_hash.txt
@@ -0,0 +1 @@
+0902ed4e8ddd879817b8a27703f1db3535914c3276175c5b88370f6ee972a0f6
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_a.miil_green_in1k/graph_net.json b/samples/timm/hardcorenas_a.miil_green_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hardcorenas_a.miil_green_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_a.miil_green_in1k/input_meta.py b/samples/timm/hardcorenas_a.miil_green_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_a.miil_green_in1k/input_tensor_constraints.py b/samples/timm/hardcorenas_a.miil_green_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_a.miil_green_in1k/model.py b/samples/timm/hardcorenas_a.miil_green_in1k/model.py
new file mode 100644
index 000000000..2951acb1c
--- /dev/null
+++ b/samples/timm/hardcorenas_a.miil_green_in1k/model.py
@@ -0,0 +1,2075 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_conv_head_parameters_bias_ = (
+            L_self_modules_conv_head_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.hardswish(x_1, True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            48,
+        )
+        x_10 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.relu(x_17, inplace=True)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            72,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_21 = torch.nn.functional.relu(x_20, inplace=True)
+        x_20 = None
+        x_se = x_21.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.relu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_22 = x_21 * hardsigmoid
+        x_21 = hardsigmoid = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_25 = x_24 + x_15
+        x_24 = x_15 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_28 = torch.nn.functional.relu(x_27, inplace=True)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            72,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_30 = torch.nn.functional.batch_norm(
+            x_29,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_31 = torch.nn.functional.relu(x_30, inplace=True)
+        x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_36 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        x_37 = torch.conv2d(
+            x_36,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            240,
+        )
+        x_36 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_38 = torch.nn.functional.batch_norm(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_39 = torch.nn.functional.relu(x_38, inplace=True)
+        x_38 = None
+        x_se_4 = x_39.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.relu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_40 = x_39 * hardsigmoid_1
+        x_39 = hardsigmoid_1 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_40 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_42 = torch.nn.functional.batch_norm(
+            x_41,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_41 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_43 = x_42 + x_33
+        x_42 = x_33 = None
+        x_44 = torch.conv2d(
+            x_43,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_45 = torch.nn.functional.batch_norm(
+            x_44,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_44 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_46 = torch.nn.functional.hardswish(x_45, True)
+        x_45 = None
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            240,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_49 = torch.nn.functional.hardswish(x_48, True)
+        x_48 = None
+        x_se_8 = x_49.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.relu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_11, False)
+        x_se_11 = None
+        x_50 = x_49 * hardsigmoid_2
+        x_49 = hardsigmoid_2 = None
+        x_51 = torch.conv2d(
+            x_50,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_50 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_52 = torch.nn.functional.batch_norm(
+            x_51,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_51 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_55 = torch.nn.functional.hardswish(x_54, True)
+        x_54 = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_58 = torch.nn.functional.hardswish(x_57, True)
+        x_57 = None
+        x_se_12 = x_58.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.relu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_15, False)
+        x_se_15 = None
+        x_59 = x_58 * hardsigmoid_3
+        x_58 = hardsigmoid_3 = None
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_59 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_61 = torch.nn.functional.batch_norm(
+            x_60,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_60 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_62 = x_61 + x_52
+        x_61 = x_52 = None
+        x_63 = torch.conv2d(
+            x_62,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_64 = torch.nn.functional.batch_norm(
+            x_63,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_65 = torch.nn.functional.hardswish(x_64, True)
+        x_64 = None
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_65 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_68 = torch.nn.functional.hardswish(x_67, True)
+        x_67 = None
+        x_se_16 = x_68.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.relu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_4 = torch.nn.functional.hardsigmoid(x_se_19, False)
+        x_se_19 = None
+        x_69 = x_68 * hardsigmoid_4
+        x_68 = hardsigmoid_4 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_69 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_74 = torch.nn.functional.hardswish(x_73, True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_74 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_77 = torch.nn.functional.hardswish(x_76, True)
+        x_76 = None
+        x_se_20 = x_77.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.relu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_5 = torch.nn.functional.hardsigmoid(x_se_23, False)
+        x_se_23 = None
+        x_78 = x_77 * hardsigmoid_5
+        x_77 = hardsigmoid_5 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_78 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_81 = x_80 + x_71
+        x_80 = x_71 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_84 = torch.nn.functional.hardswish(x_83, True)
+        x_83 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_84 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_86 = torch.nn.functional.batch_norm(
+            x_85,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.hardswish(x_86, True)
+        x_86 = None
+        x_se_24 = x_87.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.relu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_6 = torch.nn.functional.hardsigmoid(x_se_27, False)
+        x_se_27 = None
+        x_88 = x_87 * hardsigmoid_6
+        x_87 = hardsigmoid_6 = None
+        x_89 = torch.conv2d(
+            x_88,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_88 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_93 = torch.nn.functional.hardswish(x_92, True)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_96 = torch.nn.functional.hardswish(x_95, True)
+        x_95 = None
+        x_se_28 = x_96.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.relu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_7 = torch.nn.functional.hardsigmoid(x_se_31, False)
+        x_se_31 = None
+        x_97 = x_96 * hardsigmoid_7
+        x_96 = hardsigmoid_7 = None
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_97 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_100 = x_99 + x_90
+        x_99 = x_90 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_103 = torch.nn.functional.hardswish(x_102, True)
+        x_102 = None
+        x_104 = torch.nn.functional.adaptive_avg_pool2d(x_103, 1)
+        x_103 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_conv_head_parameters_weight_,
+            l_self_modules_conv_head_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = (
+            l_self_modules_conv_head_parameters_weight_
+        ) = l_self_modules_conv_head_parameters_bias_ = None
+        x_106 = torch.nn.functional.hardswish(x_105, True)
+        x_105 = None
+        x_107 = x_106.flatten(1, -1)
+        x_106 = None
+        x_108 = torch._C._nn.linear(
+            x_107,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_107 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_108,)
diff --git a/samples/timm/hardcorenas_a.miil_green_in1k/weight_meta.py b/samples/timm/hardcorenas_a.miil_green_in1k/weight_meta.py
new file mode 100644
index 000000000..d5dd4a5aa
--- /dev/null
+++ b/samples/timm/hardcorenas_a.miil_green_in1k/weight_meta.py
@@ -0,0 +1,2142 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.218
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.479
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.339
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.299
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.161
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.166
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.293
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.163
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.277
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.219
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.159
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [120, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.159
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [120, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_"
+    shape = [960, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_bias_:
+    name = "L_self_modules_conv_head_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hardcorenas_b.miil_green_in1k/graph_hash.txt b/samples/timm/hardcorenas_b.miil_green_in1k/graph_hash.txt
new file mode 100644
index 000000000..4a227dbe4
--- /dev/null
+++ b/samples/timm/hardcorenas_b.miil_green_in1k/graph_hash.txt
@@ -0,0 +1 @@
+551cc26d7d50a33780b03d5c8fb0e1a81cdf9ee846e9baae0e319a052b7f2d54
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_b.miil_green_in1k/graph_net.json b/samples/timm/hardcorenas_b.miil_green_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hardcorenas_b.miil_green_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_b.miil_green_in1k/input_meta.py b/samples/timm/hardcorenas_b.miil_green_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_b.miil_green_in1k/input_tensor_constraints.py b/samples/timm/hardcorenas_b.miil_green_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_b.miil_green_in1k/model.py b/samples/timm/hardcorenas_b.miil_green_in1k/model.py
new file mode 100644
index 000000000..fc1f264d1
--- /dev/null
+++ b/samples/timm/hardcorenas_b.miil_green_in1k/model.py
@@ -0,0 +1,3020 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_conv_head_parameters_bias_ = (
+            L_self_modules_conv_head_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.hardswish(x_1, True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            48,
+        )
+        x_10 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.relu(x_17, inplace=True)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            72,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_21 = torch.nn.functional.relu(x_20, inplace=True)
+        x_20 = None
+        x_se = x_21.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.relu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_22 = x_21 * hardsigmoid
+        x_21 = hardsigmoid = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_25 = x_24 + x_15
+        x_24 = x_15 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_28 = torch.nn.functional.relu(x_27, inplace=True)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            72,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_30 = torch.nn.functional.batch_norm(
+            x_29,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_31 = torch.nn.functional.relu(x_30, inplace=True)
+        x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_34 = x_33 + x_25
+        x_33 = x_25 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_37 = torch.nn.functional.relu(x_36, inplace=True)
+        x_36 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            72,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_40 = torch.nn.functional.relu(x_39, inplace=True)
+        x_39 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_40 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_42 = torch.nn.functional.batch_norm(
+            x_41,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_41 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_45 = torch.nn.functional.relu(x_44, inplace=True)
+        x_44 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            120,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_51 = x_50 + x_42
+        x_50 = x_42 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_54 = torch.nn.functional.relu(x_53, inplace=True)
+        x_53 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            120,
+        )
+        x_54 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_57 = torch.nn.functional.relu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_60 = x_59 + x_51
+        x_59 = x_51 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_63 = torch.nn.functional.hardswish(x_62, True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            120,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_66 = torch.nn.functional.hardswish(x_65, True)
+        x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_66 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_71 = torch.nn.functional.hardswish(x_70, True)
+        x_70 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            240,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_74 = torch.nn.functional.hardswish(x_73, True)
+        x_73 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_74 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_77 = x_76 + x_68
+        x_76 = x_68 = None
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_80 = torch.nn.functional.hardswish(x_79, True)
+        x_79 = None
+        x_81 = torch.conv2d(
+            x_80,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_80 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_82 = torch.nn.functional.batch_norm(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_83 = torch.nn.functional.hardswish(x_82, True)
+        x_82 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_83 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_86 = x_85 + x_77
+        x_85 = x_77 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_89 = torch.nn.functional.hardswish(x_88, True)
+        x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_89 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_92 = torch.nn.functional.hardswish(x_91, True)
+        x_91 = None
+        x_93 = torch.conv2d(
+            x_92,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_92 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_94 = torch.nn.functional.batch_norm(
+            x_93,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_93 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_95 = x_94 + x_86
+        x_94 = x_86 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_95 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_98 = torch.nn.functional.hardswish(x_97, True)
+        x_97 = None
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            240,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_100 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_99 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_101 = torch.nn.functional.hardswish(x_100, True)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_101 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_106 = torch.nn.functional.hardswish(x_105, True)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            336,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_109 = torch.nn.functional.hardswish(x_108, True)
+        x_108 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_109 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_112 = x_111 + x_103
+        x_111 = x_103 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_113 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_115 = torch.nn.functional.hardswish(x_114, True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            336,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_118 = torch.nn.functional.hardswish(x_117, True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_121 = x_120 + x_112
+        x_120 = x_112 = None
+        x_122 = torch.conv2d(
+            x_121,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_123 = torch.nn.functional.batch_norm(
+            x_122,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_122 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_124 = torch.nn.functional.hardswish(x_123, True)
+        x_123 = None
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            336,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_127 = torch.nn.functional.hardswish(x_126, True)
+        x_126 = None
+        x_128 = torch.conv2d(
+            x_127,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_127 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_129 = torch.nn.functional.batch_norm(
+            x_128,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_128 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_130 = x_129 + x_121
+        x_129 = x_121 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_133 = torch.nn.functional.hardswish(x_132, True)
+        x_132 = None
+        x_134 = torch.conv2d(
+            x_133,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_135 = torch.nn.functional.batch_norm(
+            x_134,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_134 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_136 = torch.nn.functional.hardswish(x_135, True)
+        x_135 = None
+        x_se_4 = x_136.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.relu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_137 = x_136 * hardsigmoid_1
+        x_136 = hardsigmoid_1 = None
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_137 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_140 = torch.conv2d(
+            x_139,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_141 = torch.nn.functional.batch_norm(
+            x_140,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_142 = torch.nn.functional.hardswish(x_141, True)
+        x_141 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.hardswish(x_144, True)
+        x_144 = None
+        x_se_8 = x_145.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.relu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_11, False)
+        x_se_11 = None
+        x_146 = x_145 * hardsigmoid_2
+        x_145 = hardsigmoid_2 = None
+        x_147 = torch.conv2d(
+            x_146,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_146 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_148 = torch.nn.functional.batch_norm(
+            x_147,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_147 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_149 = x_148 + x_139
+        x_148 = x_139 = None
+        x_150 = torch.conv2d(
+            x_149,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_151 = torch.nn.functional.batch_norm(
+            x_150,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_152 = torch.nn.functional.hardswish(x_151, True)
+        x_151 = None
+        x_153 = torch.conv2d(
+            x_152,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            576,
+        )
+        x_152 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_154 = torch.nn.functional.batch_norm(
+            x_153,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_153 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_155 = torch.nn.functional.hardswish(x_154, True)
+        x_154 = None
+        x_se_12 = x_155.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.relu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_15, False)
+        x_se_15 = None
+        x_156 = x_155 * hardsigmoid_3
+        x_155 = hardsigmoid_3 = None
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_156 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_159 = x_158 + x_149
+        x_158 = x_149 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_162 = torch.nn.functional.hardswish(x_161, True)
+        x_161 = None
+        x_163 = torch.nn.functional.adaptive_avg_pool2d(x_162, 1)
+        x_162 = None
+        x_164 = torch.conv2d(
+            x_163,
+            l_self_modules_conv_head_parameters_weight_,
+            l_self_modules_conv_head_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_163 = (
+            l_self_modules_conv_head_parameters_weight_
+        ) = l_self_modules_conv_head_parameters_bias_ = None
+        x_165 = torch.nn.functional.hardswish(x_164, True)
+        x_164 = None
+        x_166 = x_165.flatten(1, -1)
+        x_165 = None
+        x_167 = torch._C._nn.linear(
+            x_166,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_166 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_167,)
diff --git a/samples/timm/hardcorenas_b.miil_green_in1k/weight_meta.py b/samples/timm/hardcorenas_b.miil_green_in1k/weight_meta.py
new file mode 100644
index 000000000..522cfece3
--- /dev/null
+++ b/samples/timm/hardcorenas_b.miil_green_in1k/weight_meta.py
@@ -0,0 +1,3074 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.228
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.041
+    std = 0.463
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.033
+    std = 0.340
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.202
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.010
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.166
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.166
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn1_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.029
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn2_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.274
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_2_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.222
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.127
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.290
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.222
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.130
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.157
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.465
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.488
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.486
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [576, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [576, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [144, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [576, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_"
+    shape = [960, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_bias_:
+    name = "L_self_modules_conv_head_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hardcorenas_c.miil_green_in1k/graph_hash.txt b/samples/timm/hardcorenas_c.miil_green_in1k/graph_hash.txt
new file mode 100644
index 000000000..3966ddeb9
--- /dev/null
+++ b/samples/timm/hardcorenas_c.miil_green_in1k/graph_hash.txt
@@ -0,0 +1 @@
+05a3b3132b9dc28c6b4b8bd511a79efb4f757f4cd7ba1374cc62ef4e5d346d7e
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_c.miil_green_in1k/graph_net.json b/samples/timm/hardcorenas_c.miil_green_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hardcorenas_c.miil_green_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_c.miil_green_in1k/input_meta.py b/samples/timm/hardcorenas_c.miil_green_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_c.miil_green_in1k/input_tensor_constraints.py b/samples/timm/hardcorenas_c.miil_green_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_c.miil_green_in1k/model.py b/samples/timm/hardcorenas_c.miil_green_in1k/model.py
new file mode 100644
index 000000000..32d7bd90c
--- /dev/null
+++ b/samples/timm/hardcorenas_c.miil_green_in1k/model.py
@@ -0,0 +1,3090 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_conv_head_parameters_bias_ = (
+            L_self_modules_conv_head_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.hardswish(x_1, True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            48,
+        )
+        x_10 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_18 = torch.nn.functional.relu(x_17, inplace=True)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            72,
+        )
+        x_18 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_21 = torch.nn.functional.relu(x_20, inplace=True)
+        x_20 = None
+        x_se = x_21.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.relu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_22 = x_21 * hardsigmoid
+        x_21 = hardsigmoid = None
+        x_23 = torch.conv2d(
+            x_22,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_22 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_24 = torch.nn.functional.batch_norm(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_23 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_25 = x_24 + x_15
+        x_24 = x_15 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_28 = torch.nn.functional.relu(x_27, inplace=True)
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            72,
+        )
+        x_28 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_30 = torch.nn.functional.batch_norm(
+            x_29,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_31 = torch.nn.functional.relu(x_30, inplace=True)
+        x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_36 = torch.nn.functional.relu(x_35, inplace=True)
+        x_35 = None
+        x_37 = torch.conv2d(
+            x_36,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            120,
+        )
+        x_36 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_38 = torch.nn.functional.batch_norm(
+            x_37,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_37 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_39 = torch.nn.functional.relu(x_38, inplace=True)
+        x_38 = None
+        x_40 = torch.conv2d(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_39 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_42 = x_41 + x_33
+        x_41 = x_33 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_45 = torch.nn.functional.relu(x_44, inplace=True)
+        x_44 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            120,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_48 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_51 = x_50 + x_42
+        x_50 = x_42 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_54 = torch.nn.functional.relu(x_53, inplace=True)
+        x_53 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            120,
+        )
+        x_54 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_57 = torch.nn.functional.relu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_60 = x_59 + x_51
+        x_59 = x_51 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_60 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_63 = torch.nn.functional.hardswish(x_62, True)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            160,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_66 = torch.nn.functional.hardswish(x_65, True)
+        x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_66 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_71 = torch.nn.functional.hardswish(x_70, True)
+        x_70 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_71 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_74 = torch.nn.functional.hardswish(x_73, True)
+        x_73 = None
+        x_se_4 = x_74.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.relu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_75 = x_74 * hardsigmoid_1
+        x_74 = hardsigmoid_1 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_75 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_78 = x_77 + x_68
+        x_77 = x_68 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_81 = torch.nn.functional.hardswish(x_80, True)
+        x_80 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_81 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_84 = torch.nn.functional.hardswish(x_83, True)
+        x_83 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_84 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_86 = torch.nn.functional.batch_norm(
+            x_85,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_87 = x_86 + x_78
+        x_86 = x_78 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_90 = torch.nn.functional.hardswish(x_89, True)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_90 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_93 = torch.nn.functional.hardswish(x_92, True)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_96 = x_95 + x_87
+        x_95 = x_87 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_99 = torch.nn.functional.hardswish(x_98, True)
+        x_98 = None
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_99 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_100 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_102 = torch.nn.functional.hardswish(x_101, True)
+        x_101 = None
+        x_se_8 = x_102.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.relu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_11, False)
+        x_se_11 = None
+        x_103 = x_102 * hardsigmoid_2
+        x_102 = hardsigmoid_2 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_106 = torch.conv2d(
+            x_105,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_107 = torch.nn.functional.batch_norm(
+            x_106,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_108 = torch.nn.functional.hardswish(x_107, True)
+        x_107 = None
+        x_109 = torch.conv2d(
+            x_108,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            336,
+        )
+        x_108 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_110 = torch.nn.functional.batch_norm(
+            x_109,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_109 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_111 = torch.nn.functional.hardswish(x_110, True)
+        x_110 = None
+        x_112 = torch.conv2d(
+            x_111,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_111 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_113 = torch.nn.functional.batch_norm(
+            x_112,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_112 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_114 = x_113 + x_105
+        x_113 = x_105 = None
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_116 = torch.nn.functional.batch_norm(
+            x_115,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_115 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_117 = torch.nn.functional.hardswish(x_116, True)
+        x_116 = None
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            336,
+        )
+        x_117 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_119 = torch.nn.functional.batch_norm(
+            x_118,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_118 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_120 = torch.nn.functional.hardswish(x_119, True)
+        x_119 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_123 = x_122 + x_114
+        x_122 = x_114 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.hardswish(x_125, True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            336,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_129 = torch.nn.functional.hardswish(x_128, True)
+        x_128 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_129 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_132 = x_131 + x_123
+        x_131 = x_123 = None
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_132 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_134 = torch.nn.functional.batch_norm(
+            x_133,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_135 = torch.nn.functional.hardswish(x_134, True)
+        x_134 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_137 = torch.nn.functional.batch_norm(
+            x_136,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_138 = torch.nn.functional.hardswish(x_137, True)
+        x_137 = None
+        x_se_12 = x_138.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.relu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_15, False)
+        x_se_15 = None
+        x_139 = x_138 * hardsigmoid_3
+        x_138 = hardsigmoid_3 = None
+        x_140 = torch.conv2d(
+            x_139,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_139 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_141 = torch.nn.functional.batch_norm(
+            x_140,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_143 = torch.nn.functional.batch_norm(
+            x_142,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_142 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_144 = torch.nn.functional.hardswish(x_143, True)
+        x_143 = None
+        x_145 = torch.conv2d(
+            x_144,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_144 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_146 = torch.nn.functional.batch_norm(
+            x_145,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_147 = torch.nn.functional.hardswish(x_146, True)
+        x_146 = None
+        x_se_16 = x_147.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.relu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_4 = torch.nn.functional.hardsigmoid(x_se_19, False)
+        x_se_19 = None
+        x_148 = x_147 * hardsigmoid_4
+        x_147 = hardsigmoid_4 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_151 = x_150 + x_141
+        x_150 = x_141 = None
+        x_152 = torch.conv2d(
+            x_151,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_153 = torch.nn.functional.batch_norm(
+            x_152,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_152 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_154 = torch.nn.functional.hardswish(x_153, True)
+        x_153 = None
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            576,
+        )
+        x_154 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_156 = torch.nn.functional.batch_norm(
+            x_155,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_157 = torch.nn.functional.hardswish(x_156, True)
+        x_156 = None
+        x_se_20 = x_157.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.relu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_5 = torch.nn.functional.hardsigmoid(x_se_23, False)
+        x_se_23 = None
+        x_158 = x_157 * hardsigmoid_5
+        x_157 = hardsigmoid_5 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_158 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_160 = torch.nn.functional.batch_norm(
+            x_159,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_159 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_161 = x_160 + x_151
+        x_160 = x_151 = None
+        x_162 = torch.conv2d(
+            x_161,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_161 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_163 = torch.nn.functional.batch_norm(
+            x_162,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_164 = torch.nn.functional.hardswish(x_163, True)
+        x_163 = None
+        x_165 = torch.nn.functional.adaptive_avg_pool2d(x_164, 1)
+        x_164 = None
+        x_166 = torch.conv2d(
+            x_165,
+            l_self_modules_conv_head_parameters_weight_,
+            l_self_modules_conv_head_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_165 = (
+            l_self_modules_conv_head_parameters_weight_
+        ) = l_self_modules_conv_head_parameters_bias_ = None
+        x_167 = torch.nn.functional.hardswish(x_166, True)
+        x_166 = None
+        x_168 = x_167.flatten(1, -1)
+        x_167 = None
+        x_169 = torch._C._nn.linear(
+            x_168,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_168 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_169,)
diff --git a/samples/timm/hardcorenas_c.miil_green_in1k/weight_meta.py b/samples/timm/hardcorenas_c.miil_green_in1k/weight_meta.py
new file mode 100644
index 000000000..3c2670f89
--- /dev/null
+++ b/samples/timm/hardcorenas_c.miil_green_in1k/weight_meta.py
@@ -0,0 +1,3154 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.222
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.018
+    std = 0.438
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.018
+    std = 0.353
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.019
+    std = 0.275
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.298
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.168
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.169
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.221
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.130
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.131
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.222
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [160, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.159
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [120, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.477
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.159
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.488
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [120, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.461
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.135
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [576, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [576, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.468
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [144, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [576, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [576]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_"
+    shape = [960, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_bias_:
+    name = "L_self_modules_conv_head_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hardcorenas_d.miil_green_in1k/graph_hash.txt b/samples/timm/hardcorenas_d.miil_green_in1k/graph_hash.txt
new file mode 100644
index 000000000..c1d509832
--- /dev/null
+++ b/samples/timm/hardcorenas_d.miil_green_in1k/graph_hash.txt
@@ -0,0 +1 @@
+50e570705b01434e991e010114123eca8cdc96b7006b53c5b145adb807651bcf
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_d.miil_green_in1k/graph_net.json b/samples/timm/hardcorenas_d.miil_green_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hardcorenas_d.miil_green_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_d.miil_green_in1k/input_meta.py b/samples/timm/hardcorenas_d.miil_green_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_d.miil_green_in1k/input_tensor_constraints.py b/samples/timm/hardcorenas_d.miil_green_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_d.miil_green_in1k/model.py b/samples/timm/hardcorenas_d.miil_green_in1k/model.py
new file mode 100644
index 000000000..4b2006bd1
--- /dev/null
+++ b/samples/timm/hardcorenas_d.miil_green_in1k/model.py
@@ -0,0 +1,3475 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
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+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_conv_head_parameters_bias_ = (
+            L_self_modules_conv_head_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.hardswish(x_1, True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            48,
+        )
+        x_10 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_se = x_13.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.relu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_14 = x_13 * hardsigmoid
+        x_13 = hardsigmoid = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            72,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_22 = torch.nn.functional.relu(x_21, inplace=True)
+        x_21 = None
+        x_se_4 = x_22.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.relu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_23 = x_22 * hardsigmoid_1
+        x_22 = hardsigmoid_1 = None
+        x_24 = torch.conv2d(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_26 = x_25 + x_16
+        x_25 = x_16 = None
+        x_27 = torch.conv2d(
+            x_26,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_28 = torch.nn.functional.batch_norm(
+            x_27,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_29 = torch.nn.functional.relu(x_28, inplace=True)
+        x_28 = None
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            72,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_se_8 = x_32.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.relu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_11, False)
+        x_se_11 = None
+        x_33 = x_32 * hardsigmoid_2
+        x_32 = hardsigmoid_2 = None
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_33 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            160,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_se_12 = x_41.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.relu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_15, False)
+        x_se_15 = None
+        x_42 = x_41 * hardsigmoid_3
+        x_41 = hardsigmoid_3 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_45 = x_44 + x_35
+        x_44 = x_35 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            120,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_51 = torch.nn.functional.relu(x_50, inplace=True)
+        x_50 = None
+        x_se_16 = x_51.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.relu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_4 = torch.nn.functional.hardsigmoid(x_se_19, False)
+        x_se_19 = None
+        x_52 = x_51 * hardsigmoid_4
+        x_51 = hardsigmoid_4 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_55 = x_54 + x_45
+        x_54 = x_45 = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_58 = torch.nn.functional.hardswish(x_57, True)
+        x_57 = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            160,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_60 = torch.nn.functional.batch_norm(
+            x_59,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.hardswish(x_60, True)
+        x_60 = None
+        x_se_20 = x_61.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.relu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_5 = torch.nn.functional.hardsigmoid(x_se_23, False)
+        x_se_23 = None
+        x_62 = x_61 * hardsigmoid_5
+        x_61 = hardsigmoid_5 = None
+        x_63 = torch.conv2d(
+            x_62,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_64 = torch.nn.functional.batch_norm(
+            x_63,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_65 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_67 = torch.nn.functional.hardswish(x_66, True)
+        x_66 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_70 = torch.nn.functional.hardswish(x_69, True)
+        x_69 = None
+        x_se_24 = x_70.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.relu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_6 = torch.nn.functional.hardsigmoid(x_se_27, False)
+        x_se_27 = None
+        x_71 = x_70 * hardsigmoid_6
+        x_70 = hardsigmoid_6 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_71 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_74 = x_73 + x_64
+        x_73 = x_64 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_77 = torch.nn.functional.hardswish(x_76, True)
+        x_76 = None
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_77 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_80 = torch.nn.functional.hardswish(x_79, True)
+        x_79 = None
+        x_se_28 = x_80.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.relu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_7 = torch.nn.functional.hardsigmoid(x_se_31, False)
+        x_se_31 = None
+        x_81 = x_80 * hardsigmoid_7
+        x_80 = hardsigmoid_7 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_81 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_84 = x_83 + x_74
+        x_83 = x_74 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_86 = torch.nn.functional.batch_norm(
+            x_85,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.hardswish(x_86, True)
+        x_86 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_90 = torch.nn.functional.hardswish(x_89, True)
+        x_89 = None
+        x_se_32 = x_90.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.relu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_8 = torch.nn.functional.hardsigmoid(x_se_35, False)
+        x_se_35 = None
+        x_91 = x_90 * hardsigmoid_8
+        x_90 = hardsigmoid_8 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_91 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_94 = x_93 + x_84
+        x_93 = x_84 = None
+        x_95 = torch.conv2d(
+            x_94,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_94 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_96 = torch.nn.functional.batch_norm(
+            x_95,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_95 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_97 = torch.nn.functional.hardswish(x_96, True)
+        x_96 = None
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            320,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_100 = torch.nn.functional.hardswish(x_99, True)
+        x_99 = None
+        x_se_36 = x_100.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.relu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_9 = torch.nn.functional.hardsigmoid(x_se_39, False)
+        x_se_39 = None
+        x_101 = x_100 * hardsigmoid_9
+        x_100 = hardsigmoid_9 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_101 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_106 = torch.nn.functional.hardswish(x_105, True)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            448,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_109 = torch.nn.functional.hardswish(x_108, True)
+        x_108 = None
+        x_se_40 = x_109.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.relu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_10 = torch.nn.functional.hardsigmoid(x_se_43, False)
+        x_se_43 = None
+        x_110 = x_109 * hardsigmoid_10
+        x_109 = hardsigmoid_10 = None
+        x_111 = torch.conv2d(
+            x_110,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_110 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_112 = torch.nn.functional.batch_norm(
+            x_111,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_113 = x_112 + x_103
+        x_112 = x_103 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_116 = torch.nn.functional.hardswish(x_115, True)
+        x_115 = None
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            336,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_119 = torch.nn.functional.hardswish(x_118, True)
+        x_118 = None
+        x_se_44 = x_119.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.relu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_11 = torch.nn.functional.hardsigmoid(x_se_47, False)
+        x_se_47 = None
+        x_120 = x_119 * hardsigmoid_11
+        x_119 = hardsigmoid_11 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_123 = x_122 + x_113
+        x_122 = x_113 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.hardswish(x_125, True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            336,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_129 = torch.nn.functional.hardswish(x_128, True)
+        x_128 = None
+        x_se_48 = x_129.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.relu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_12 = torch.nn.functional.hardsigmoid(x_se_51, False)
+        x_se_51 = None
+        x_130 = x_129 * hardsigmoid_12
+        x_129 = hardsigmoid_12 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_133 = x_132 + x_123
+        x_132 = x_123 = None
+        x_134 = torch.conv2d(
+            x_133,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_135 = torch.nn.functional.batch_norm(
+            x_134,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_134 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_136 = torch.nn.functional.hardswish(x_135, True)
+        x_135 = None
+        x_137 = torch.conv2d(
+            x_136,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_138 = torch.nn.functional.batch_norm(
+            x_137,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_137 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_139 = torch.nn.functional.hardswish(x_138, True)
+        x_138 = None
+        x_se_52 = x_139.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.relu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_13 = torch.nn.functional.hardsigmoid(x_se_55, False)
+        x_se_55 = None
+        x_140 = x_139 * hardsigmoid_13
+        x_139 = hardsigmoid_13 = None
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_140 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.hardswish(x_144, True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_148 = torch.nn.functional.hardswish(x_147, True)
+        x_147 = None
+        x_se_56 = x_148.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.relu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_14 = torch.nn.functional.hardsigmoid(x_se_59, False)
+        x_se_59 = None
+        x_149 = x_148 * hardsigmoid_14
+        x_148 = hardsigmoid_14 = None
+        x_150 = torch.conv2d(
+            x_149,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_149 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_151 = torch.nn.functional.batch_norm(
+            x_150,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_152 = x_151 + x_142
+        x_151 = x_142 = None
+        x_153 = torch.conv2d(
+            x_152,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_154 = torch.nn.functional.batch_norm(
+            x_153,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_153 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_155 = torch.nn.functional.hardswish(x_154, True)
+        x_154 = None
+        x_156 = torch.conv2d(
+            x_155,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_157 = torch.nn.functional.batch_norm(
+            x_156,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_156 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_158 = torch.nn.functional.hardswish(x_157, True)
+        x_157 = None
+        x_se_60 = x_158.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.relu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_15 = torch.nn.functional.hardsigmoid(x_se_63, False)
+        x_se_63 = None
+        x_159 = x_158 * hardsigmoid_15
+        x_158 = hardsigmoid_15 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_162 = x_161 + x_152
+        x_161 = x_152 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_165 = torch.nn.functional.hardswish(x_164, True)
+        x_164 = None
+        x_166 = torch.conv2d(
+            x_165,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_165 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_167 = torch.nn.functional.batch_norm(
+            x_166,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_166 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_168 = torch.nn.functional.hardswish(x_167, True)
+        x_167 = None
+        x_se_64 = x_168.mean((2, 3), keepdim=True)
+        x_se_65 = torch.conv2d(
+            x_se_64,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_64 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_66 = torch.nn.functional.relu(x_se_65, inplace=True)
+        x_se_65 = None
+        x_se_67 = torch.conv2d(
+            x_se_66,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_66 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_16 = torch.nn.functional.hardsigmoid(x_se_67, False)
+        x_se_67 = None
+        x_169 = x_168 * hardsigmoid_16
+        x_168 = hardsigmoid_16 = None
+        x_170 = torch.conv2d(
+            x_169,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_169 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_171 = torch.nn.functional.batch_norm(
+            x_170,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_170 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_172 = x_171 + x_162
+        x_171 = x_162 = None
+        x_173 = torch.conv2d(
+            x_172,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_172 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_174 = torch.nn.functional.batch_norm(
+            x_173,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_173 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_175 = torch.nn.functional.hardswish(x_174, True)
+        x_174 = None
+        x_176 = torch.nn.functional.adaptive_avg_pool2d(x_175, 1)
+        x_175 = None
+        x_177 = torch.conv2d(
+            x_176,
+            l_self_modules_conv_head_parameters_weight_,
+            l_self_modules_conv_head_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_176 = (
+            l_self_modules_conv_head_parameters_weight_
+        ) = l_self_modules_conv_head_parameters_bias_ = None
+        x_178 = torch.nn.functional.hardswish(x_177, True)
+        x_177 = None
+        x_179 = x_178.flatten(1, -1)
+        x_178 = None
+        x_180 = torch._C._nn.linear(
+            x_179,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_179 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_180,)
diff --git a/samples/timm/hardcorenas_d.miil_green_in1k/weight_meta.py b/samples/timm/hardcorenas_d.miil_green_in1k/weight_meta.py
new file mode 100644
index 000000000..90b6480df
--- /dev/null
+++ b/samples/timm/hardcorenas_d.miil_green_in1k/weight_meta.py
@@ -0,0 +1,3594 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.228
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.448
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.014
+    std = 0.327
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.030
+    std = 0.355
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [48, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.292
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.164
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.173
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.168
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.110
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [160, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.225
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.487
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.130
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.227
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [160, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.009
+    std = 0.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.458
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.157
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.011
+    std = 0.467
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.157
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [320, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [320, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.475
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [80, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [320, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [448, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [448, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [112, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [448, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.465
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [88, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.150
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [336, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [88, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.151
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [336, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.474
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_"
+    shape = [960, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_bias_:
+    name = "L_self_modules_conv_head_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hardcorenas_e.miil_green_in1k/graph_hash.txt b/samples/timm/hardcorenas_e.miil_green_in1k/graph_hash.txt
new file mode 100644
index 000000000..447e6b154
--- /dev/null
+++ b/samples/timm/hardcorenas_e.miil_green_in1k/graph_hash.txt
@@ -0,0 +1 @@
+50991adc7ece152a03d7a34c119706f437b0c0c64b0064cbfd63c32373b17e66
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_e.miil_green_in1k/graph_net.json b/samples/timm/hardcorenas_e.miil_green_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hardcorenas_e.miil_green_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_e.miil_green_in1k/input_meta.py b/samples/timm/hardcorenas_e.miil_green_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_e.miil_green_in1k/input_tensor_constraints.py b/samples/timm/hardcorenas_e.miil_green_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_e.miil_green_in1k/model.py b/samples/timm/hardcorenas_e.miil_green_in1k/model.py
new file mode 100644
index 000000000..7bef00832
--- /dev/null
+++ b/samples/timm/hardcorenas_e.miil_green_in1k/model.py
@@ -0,0 +1,3285 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
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+        L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_conv_head_parameters_bias_ = (
+            L_self_modules_conv_head_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.hardswish(x_1, True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            48,
+        )
+        x_10 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_se = x_13.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.relu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_14 = x_13 * hardsigmoid
+        x_13 = hardsigmoid = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            72,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_22 = torch.nn.functional.relu(x_21, inplace=True)
+        x_21 = None
+        x_se_4 = x_22.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.relu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_23 = x_22 * hardsigmoid_1
+        x_22 = hardsigmoid_1 = None
+        x_24 = torch.conv2d(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_26 = x_25 + x_16
+        x_25 = x_16 = None
+        x_27 = torch.conv2d(
+            x_26,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_28 = torch.nn.functional.batch_norm(
+            x_27,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_29 = torch.nn.functional.relu(x_28, inplace=True)
+        x_28 = None
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            144,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_se_8 = x_32.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.relu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_11, False)
+        x_se_11 = None
+        x_33 = x_32 * hardsigmoid_2
+        x_32 = hardsigmoid_2 = None
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_33 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            160,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_se_12 = x_41.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.relu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_15, False)
+        x_se_15 = None
+        x_42 = x_41 * hardsigmoid_3
+        x_41 = hardsigmoid_3 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_45 = x_44 + x_35
+        x_44 = x_35 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.relu(x_47, inplace=True)
+        x_47 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            160,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_51 = torch.nn.functional.relu(x_50, inplace=True)
+        x_50 = None
+        x_se_16 = x_51.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.relu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_4 = torch.nn.functional.hardsigmoid(x_se_19, False)
+        x_se_19 = None
+        x_52 = x_51 * hardsigmoid_4
+        x_51 = hardsigmoid_4 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_55 = x_54 + x_45
+        x_54 = x_45 = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_58 = torch.nn.functional.relu(x_57, inplace=True)
+        x_57 = None
+        x_59 = torch.conv2d(
+            x_58,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            120,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_60 = torch.nn.functional.batch_norm(
+            x_59,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_59 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_61 = torch.nn.functional.relu(x_60, inplace=True)
+        x_60 = None
+        x_se_20 = x_61.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.relu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_5 = torch.nn.functional.hardsigmoid(x_se_23, False)
+        x_se_23 = None
+        x_62 = x_61 * hardsigmoid_5
+        x_61 = hardsigmoid_5 = None
+        x_63 = torch.conv2d(
+            x_62,
+            l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_62 = l_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_64 = torch.nn.functional.batch_norm(
+            x_63,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_63 = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_65 = x_64 + x_55
+        x_64 = x_55 = None
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_65 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_68 = torch.nn.functional.hardswish(x_67, True)
+        x_67 = None
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            160,
+        )
+        x_68 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_71 = torch.nn.functional.hardswish(x_70, True)
+        x_70 = None
+        x_se_24 = x_71.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.relu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_6 = torch.nn.functional.hardsigmoid(x_se_27, False)
+        x_se_27 = None
+        x_72 = x_71 * hardsigmoid_6
+        x_71 = hardsigmoid_6 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_72 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_77 = torch.nn.functional.hardswish(x_76, True)
+        x_76 = None
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        x_77 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_80 = torch.nn.functional.hardswish(x_79, True)
+        x_79 = None
+        x_se_28 = x_80.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.relu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_7 = torch.nn.functional.hardsigmoid(x_se_31, False)
+        x_se_31 = None
+        x_81 = x_80 * hardsigmoid_7
+        x_80 = hardsigmoid_7 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_81 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_84 = x_83 + x_74
+        x_83 = x_74 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_84 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_86 = torch.nn.functional.batch_norm(
+            x_85,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.hardswish(x_86, True)
+        x_86 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_90 = torch.nn.functional.hardswish(x_89, True)
+        x_89 = None
+        x_se_32 = x_90.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.relu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_8 = torch.nn.functional.hardsigmoid(x_se_35, False)
+        x_se_35 = None
+        x_91 = x_90 * hardsigmoid_8
+        x_90 = hardsigmoid_8 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_91 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_96 = torch.nn.functional.hardswish(x_95, True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_99 = torch.nn.functional.hardswish(x_98, True)
+        x_98 = None
+        x_se_36 = x_99.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.relu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_9 = torch.nn.functional.hardsigmoid(x_se_39, False)
+        x_se_39 = None
+        x_100 = x_99 * hardsigmoid_9
+        x_99 = hardsigmoid_9 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_103 = x_102 + x_93
+        x_102 = x_93 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_106 = torch.nn.functional.hardswish(x_105, True)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_109 = torch.nn.functional.hardswish(x_108, True)
+        x_108 = None
+        x_se_40 = x_109.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.relu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_10 = torch.nn.functional.hardsigmoid(x_se_43, False)
+        x_se_43 = None
+        x_110 = x_109 * hardsigmoid_10
+        x_109 = hardsigmoid_10 = None
+        x_111 = torch.conv2d(
+            x_110,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_110 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_112 = torch.nn.functional.batch_norm(
+            x_111,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_113 = x_112 + x_103
+        x_112 = x_103 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_116 = torch.nn.functional.hardswish(x_115, True)
+        x_115 = None
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            336,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_119 = torch.nn.functional.hardswish(x_118, True)
+        x_118 = None
+        x_se_44 = x_119.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.relu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_11 = torch.nn.functional.hardsigmoid(x_se_47, False)
+        x_se_47 = None
+        x_120 = x_119 * hardsigmoid_11
+        x_119 = hardsigmoid_11 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_123 = x_122 + x_113
+        x_122 = x_113 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.hardswish(x_125, True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_129 = torch.nn.functional.hardswish(x_128, True)
+        x_128 = None
+        x_se_48 = x_129.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.relu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_12 = torch.nn.functional.hardsigmoid(x_se_51, False)
+        x_se_51 = None
+        x_130 = x_129 * hardsigmoid_12
+        x_129 = hardsigmoid_12 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_134 = torch.nn.functional.batch_norm(
+            x_133,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_135 = torch.nn.functional.hardswish(x_134, True)
+        x_134 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_137 = torch.nn.functional.batch_norm(
+            x_136,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_138 = torch.nn.functional.hardswish(x_137, True)
+        x_137 = None
+        x_se_52 = x_138.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.relu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_13 = torch.nn.functional.hardsigmoid(x_se_55, False)
+        x_se_55 = None
+        x_139 = x_138 * hardsigmoid_13
+        x_138 = hardsigmoid_13 = None
+        x_140 = torch.conv2d(
+            x_139,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_139 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_141 = torch.nn.functional.batch_norm(
+            x_140,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_142 = x_141 + x_132
+        x_141 = x_132 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.hardswish(x_144, True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_148 = torch.nn.functional.hardswish(x_147, True)
+        x_147 = None
+        x_se_56 = x_148.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.relu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_14 = torch.nn.functional.hardsigmoid(x_se_59, False)
+        x_se_59 = None
+        x_149 = x_148 * hardsigmoid_14
+        x_148 = hardsigmoid_14 = None
+        x_150 = torch.conv2d(
+            x_149,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_149 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_151 = torch.nn.functional.batch_norm(
+            x_150,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_152 = x_151 + x_142
+        x_151 = x_142 = None
+        x_153 = torch.conv2d(
+            x_152,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_154 = torch.nn.functional.batch_norm(
+            x_153,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_153 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_155 = torch.nn.functional.hardswish(x_154, True)
+        x_154 = None
+        x_156 = torch.conv2d(
+            x_155,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_157 = torch.nn.functional.batch_norm(
+            x_156,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_156 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_158 = torch.nn.functional.hardswish(x_157, True)
+        x_157 = None
+        x_se_60 = x_158.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.relu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_15 = torch.nn.functional.hardsigmoid(x_se_63, False)
+        x_se_63 = None
+        x_159 = x_158 * hardsigmoid_15
+        x_158 = hardsigmoid_15 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_162 = x_161 + x_152
+        x_161 = x_152 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_165 = torch.nn.functional.hardswish(x_164, True)
+        x_164 = None
+        x_166 = torch.nn.functional.adaptive_avg_pool2d(x_165, 1)
+        x_165 = None
+        x_167 = torch.conv2d(
+            x_166,
+            l_self_modules_conv_head_parameters_weight_,
+            l_self_modules_conv_head_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_166 = (
+            l_self_modules_conv_head_parameters_weight_
+        ) = l_self_modules_conv_head_parameters_bias_ = None
+        x_168 = torch.nn.functional.hardswish(x_167, True)
+        x_167 = None
+        x_169 = x_168.flatten(1, -1)
+        x_168 = None
+        x_170 = torch._C._nn.linear(
+            x_169,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_169 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_170,)
diff --git a/samples/timm/hardcorenas_e.miil_green_in1k/weight_meta.py b/samples/timm/hardcorenas_e.miil_green_in1k/weight_meta.py
new file mode 100644
index 000000000..8cf16b06c
--- /dev/null
+++ b/samples/timm/hardcorenas_e.miil_green_in1k/weight_meta.py
@@ -0,0 +1,3398 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.224
+    std = 1.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.479
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.011
+    std = 0.336
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.206
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.012
+    std = 0.356
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [48, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.207
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.290
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.163
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.011
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.117
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.225
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.226
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [160, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.222
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.113
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [160, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn2_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.113
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_2_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [120, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.130
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn1_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [120, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.006
+    std = 0.477
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_buffers_running_var_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_weight_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn2_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [32, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.256
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [120, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.128
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.225
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_3_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [160, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.287
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.219
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [160, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.006
+    std = 0.469
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [120, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.130
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.159
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [120, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [88, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.152
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [336, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.281
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_"
+    shape = [960, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_bias_:
+    name = "L_self_modules_conv_head_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hardcorenas_f.miil_green_in1k/graph_hash.txt b/samples/timm/hardcorenas_f.miil_green_in1k/graph_hash.txt
new file mode 100644
index 000000000..19187b949
--- /dev/null
+++ b/samples/timm/hardcorenas_f.miil_green_in1k/graph_hash.txt
@@ -0,0 +1 @@
+a149d1ca0d972b2dca6a6093802cc26a06472428526703a85dbf7513e52331ec
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_f.miil_green_in1k/graph_net.json b/samples/timm/hardcorenas_f.miil_green_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hardcorenas_f.miil_green_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hardcorenas_f.miil_green_in1k/input_meta.py b/samples/timm/hardcorenas_f.miil_green_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_f.miil_green_in1k/input_tensor_constraints.py b/samples/timm/hardcorenas_f.miil_green_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hardcorenas_f.miil_green_in1k/model.py b/samples/timm/hardcorenas_f.miil_green_in1k/model.py
new file mode 100644
index 000000000..78708c833
--- /dev/null
+++ b/samples/timm/hardcorenas_f.miil_green_in1k/model.py
@@ -0,0 +1,3285 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_conv_stem_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_: torch.Tensor,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_conv_head_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_conv_stem_parameters_weight_ = (
+            L_self_modules_conv_stem_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_bn1_buffers_running_var_ = (
+            L_self_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_
+        l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_ = (
+            L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        )
+        l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_ = (
+            L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        )
+        l_self_modules_conv_head_parameters_weight_ = (
+            L_self_modules_conv_head_parameters_weight_
+        )
+        l_self_modules_conv_head_parameters_bias_ = (
+            L_self_modules_conv_head_parameters_bias_
+        )
+        l_self_modules_classifier_parameters_weight_ = (
+            L_self_modules_classifier_parameters_weight_
+        )
+        l_self_modules_classifier_parameters_bias_ = (
+            L_self_modules_classifier_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_conv_stem_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_conv_stem_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_bn1_buffers_running_mean_,
+            l_self_modules_bn1_buffers_running_var_,
+            l_self_modules_bn1_parameters_weight_,
+            l_self_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_bn1_parameters_weight_
+        ) = l_self_modules_bn1_parameters_bias_ = None
+        x_2 = torch.nn.functional.hardswish(x_1, True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        x_2 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_8 = torch.conv2d(
+            x_7,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_7 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_9 = torch.nn.functional.batch_norm(
+            x_8,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_8 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_10 = torch.nn.functional.relu(x_9, inplace=True)
+        x_9 = None
+        x_11 = torch.conv2d(
+            x_10,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            48,
+        )
+        x_10 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_12 = torch.nn.functional.batch_norm(
+            x_11,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_11 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_13 = torch.nn.functional.relu(x_12, inplace=True)
+        x_12 = None
+        x_se = x_13.mean((2, 3), keepdim=True)
+        x_se_1 = torch.conv2d(
+            x_se,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_2 = torch.nn.functional.relu(x_se_1, inplace=True)
+        x_se_1 = None
+        x_se_3 = torch.conv2d(
+            x_se_2,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_2 = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid = torch.nn.functional.hardsigmoid(x_se_3, False)
+        x_se_3 = None
+        x_14 = x_13 * hardsigmoid
+        x_13 = hardsigmoid = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_14 = l_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_15 = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_17 = torch.conv2d(
+            x_16,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_18 = torch.nn.functional.batch_norm(
+            x_17,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_17 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_19 = torch.nn.functional.relu(x_18, inplace=True)
+        x_18 = None
+        x_20 = torch.conv2d(
+            x_19,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            72,
+        )
+        x_19 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_21 = torch.nn.functional.batch_norm(
+            x_20,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_20 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_22 = torch.nn.functional.relu(x_21, inplace=True)
+        x_21 = None
+        x_se_4 = x_22.mean((2, 3), keepdim=True)
+        x_se_5 = torch.conv2d(
+            x_se_4,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_4 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_6 = torch.nn.functional.relu(x_se_5, inplace=True)
+        x_se_5 = None
+        x_se_7 = torch.conv2d(
+            x_se_6,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_6 = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_1 = torch.nn.functional.hardsigmoid(x_se_7, False)
+        x_se_7 = None
+        x_23 = x_22 * hardsigmoid_1
+        x_22 = hardsigmoid_1 = None
+        x_24 = torch.conv2d(
+            x_23,
+            l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_23 = l_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_25 = torch.nn.functional.batch_norm(
+            x_24,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_24 = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_26 = x_25 + x_16
+        x_25 = x_16 = None
+        x_27 = torch.conv2d(
+            x_26,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_26 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_28 = torch.nn.functional.batch_norm(
+            x_27,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_27 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_29 = torch.nn.functional.relu(x_28, inplace=True)
+        x_28 = None
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            144,
+        )
+        x_29 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_32 = torch.nn.functional.relu(x_31, inplace=True)
+        x_31 = None
+        x_se_8 = x_32.mean((2, 3), keepdim=True)
+        x_se_9 = torch.conv2d(
+            x_se_8,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_8 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_10 = torch.nn.functional.relu(x_se_9, inplace=True)
+        x_se_9 = None
+        x_se_11 = torch.conv2d(
+            x_se_10,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_10 = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_2 = torch.nn.functional.hardsigmoid(x_se_11, False)
+        x_se_11 = None
+        x_33 = x_32 * hardsigmoid_2
+        x_32 = hardsigmoid_2 = None
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_33 = l_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_37 = torch.nn.functional.batch_norm(
+            x_36,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_36 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_38 = torch.nn.functional.relu(x_37, inplace=True)
+        x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            240,
+        )
+        x_38 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_41 = torch.nn.functional.relu(x_40, inplace=True)
+        x_40 = None
+        x_se_12 = x_41.mean((2, 3), keepdim=True)
+        x_se_13 = torch.conv2d(
+            x_se_12,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_12 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_14 = torch.nn.functional.relu(x_se_13, inplace=True)
+        x_se_13 = None
+        x_se_15 = torch.conv2d(
+            x_se_14,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_14 = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_3 = torch.nn.functional.hardsigmoid(x_se_15, False)
+        x_se_15 = None
+        x_42 = x_41 * hardsigmoid_3
+        x_41 = hardsigmoid_3 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_45 = x_44 + x_35
+        x_44 = x_35 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_45 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_48 = torch.nn.functional.hardswish(x_47, True)
+        x_47 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            240,
+        )
+        x_48 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_51 = torch.nn.functional.hardswish(x_50, True)
+        x_50 = None
+        x_se_16 = x_51.mean((2, 3), keepdim=True)
+        x_se_17 = torch.conv2d(
+            x_se_16,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_16 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_18 = torch.nn.functional.relu(x_se_17, inplace=True)
+        x_se_17 = None
+        x_se_19 = torch.conv2d(
+            x_se_18,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_18 = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_4 = torch.nn.functional.hardsigmoid(x_se_19, False)
+        x_se_19 = None
+        x_52 = x_51 * hardsigmoid_4
+        x_51 = hardsigmoid_4 = None
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_52 = l_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_57 = torch.nn.functional.hardswish(x_56, True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        x_57 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_60 = torch.nn.functional.hardswish(x_59, True)
+        x_59 = None
+        x_se_20 = x_60.mean((2, 3), keepdim=True)
+        x_se_21 = torch.conv2d(
+            x_se_20,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_20 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_22 = torch.nn.functional.relu(x_se_21, inplace=True)
+        x_se_21 = None
+        x_se_23 = torch.conv2d(
+            x_se_22,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_22 = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_5 = torch.nn.functional.hardsigmoid(x_se_23, False)
+        x_se_23 = None
+        x_61 = x_60 * hardsigmoid_5
+        x_60 = hardsigmoid_5 = None
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_61 = l_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_64 = x_63 + x_54
+        x_63 = x_54 = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_65 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_67 = torch.nn.functional.hardswish(x_66, True)
+        x_66 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_67 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_70 = torch.nn.functional.hardswish(x_69, True)
+        x_69 = None
+        x_se_24 = x_70.mean((2, 3), keepdim=True)
+        x_se_25 = torch.conv2d(
+            x_se_24,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_24 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_26 = torch.nn.functional.relu(x_se_25, inplace=True)
+        x_se_25 = None
+        x_se_27 = torch.conv2d(
+            x_se_26,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_26 = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_6 = torch.nn.functional.hardsigmoid(x_se_27, False)
+        x_se_27 = None
+        x_71 = x_70 * hardsigmoid_6
+        x_70 = hardsigmoid_6 = None
+        x_72 = torch.conv2d(
+            x_71,
+            l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_71 = l_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_73 = torch.nn.functional.batch_norm(
+            x_72,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_72 = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_74 = x_73 + x_64
+        x_73 = x_64 = None
+        x_75 = torch.conv2d(
+            x_74,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_76 = torch.nn.functional.batch_norm(
+            x_75,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_75 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_77 = torch.nn.functional.hardswish(x_76, True)
+        x_76 = None
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            240,
+        )
+        x_77 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_80 = torch.nn.functional.hardswish(x_79, True)
+        x_79 = None
+        x_se_28 = x_80.mean((2, 3), keepdim=True)
+        x_se_29 = torch.conv2d(
+            x_se_28,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_28 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_30 = torch.nn.functional.relu(x_se_29, inplace=True)
+        x_se_29 = None
+        x_se_31 = torch.conv2d(
+            x_se_30,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_30 = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_7 = torch.nn.functional.hardsigmoid(x_se_31, False)
+        x_se_31 = None
+        x_81 = x_80 * hardsigmoid_7
+        x_80 = hardsigmoid_7 = None
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_81 = l_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_84 = x_83 + x_74
+        x_83 = x_74 = None
+        x_85 = torch.conv2d(
+            x_84,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_84 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_86 = torch.nn.functional.batch_norm(
+            x_85,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_85 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_87 = torch.nn.functional.hardswish(x_86, True)
+        x_86 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        x_87 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_90 = torch.nn.functional.hardswish(x_89, True)
+        x_89 = None
+        x_se_32 = x_90.mean((2, 3), keepdim=True)
+        x_se_33 = torch.conv2d(
+            x_se_32,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_32 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_34 = torch.nn.functional.relu(x_se_33, inplace=True)
+        x_se_33 = None
+        x_se_35 = torch.conv2d(
+            x_se_34,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_34 = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_8 = torch.nn.functional.hardsigmoid(x_se_35, False)
+        x_se_35 = None
+        x_91 = x_90 * hardsigmoid_8
+        x_90 = hardsigmoid_8 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_91 = l_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_96 = torch.nn.functional.hardswish(x_95, True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_96 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_99 = torch.nn.functional.hardswish(x_98, True)
+        x_98 = None
+        x_se_36 = x_99.mean((2, 3), keepdim=True)
+        x_se_37 = torch.conv2d(
+            x_se_36,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_36 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_38 = torch.nn.functional.relu(x_se_37, inplace=True)
+        x_se_37 = None
+        x_se_39 = torch.conv2d(
+            x_se_38,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_38 = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_9 = torch.nn.functional.hardsigmoid(x_se_39, False)
+        x_se_39 = None
+        x_100 = x_99 * hardsigmoid_9
+        x_99 = hardsigmoid_9 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_103 = x_102 + x_93
+        x_102 = x_93 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_106 = torch.nn.functional.hardswish(x_105, True)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_106 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_109 = torch.nn.functional.hardswish(x_108, True)
+        x_108 = None
+        x_se_40 = x_109.mean((2, 3), keepdim=True)
+        x_se_41 = torch.conv2d(
+            x_se_40,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_40 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_42 = torch.nn.functional.relu(x_se_41, inplace=True)
+        x_se_41 = None
+        x_se_43 = torch.conv2d(
+            x_se_42,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_42 = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_10 = torch.nn.functional.hardsigmoid(x_se_43, False)
+        x_se_43 = None
+        x_110 = x_109 * hardsigmoid_10
+        x_109 = hardsigmoid_10 = None
+        x_111 = torch.conv2d(
+            x_110,
+            l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_110 = l_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_112 = torch.nn.functional.batch_norm(
+            x_111,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_111 = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_113 = x_112 + x_103
+        x_112 = x_103 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_116 = torch.nn.functional.hardswish(x_115, True)
+        x_115 = None
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            336,
+        )
+        x_116 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_119 = torch.nn.functional.hardswish(x_118, True)
+        x_118 = None
+        x_se_44 = x_119.mean((2, 3), keepdim=True)
+        x_se_45 = torch.conv2d(
+            x_se_44,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_44 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_46 = torch.nn.functional.relu(x_se_45, inplace=True)
+        x_se_45 = None
+        x_se_47 = torch.conv2d(
+            x_se_46,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_46 = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_11 = torch.nn.functional.hardsigmoid(x_se_47, False)
+        x_se_47 = None
+        x_120 = x_119 * hardsigmoid_11
+        x_119 = hardsigmoid_11 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_123 = x_122 + x_113
+        x_122 = x_113 = None
+        x_124 = torch.conv2d(
+            x_123,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_123 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_
+        ) = None
+        x_125 = torch.nn.functional.batch_norm(
+            x_124,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_124 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_126 = torch.nn.functional.hardswish(x_125, True)
+        x_125 = None
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            672,
+        )
+        x_126 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_
+        ) = None
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_
+        ) = None
+        x_129 = torch.nn.functional.hardswish(x_128, True)
+        x_128 = None
+        x_se_48 = x_129.mean((2, 3), keepdim=True)
+        x_se_49 = torch.conv2d(
+            x_se_48,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_48 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_50 = torch.nn.functional.relu(x_se_49, inplace=True)
+        x_se_49 = None
+        x_se_51 = torch.conv2d(
+            x_se_50,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_50 = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_12 = torch.nn.functional.hardsigmoid(x_se_51, False)
+        x_se_51 = None
+        x_130 = x_129 * hardsigmoid_12
+        x_129 = hardsigmoid_12 = None
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_130 = l_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_ = (None)
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_
+        ) = None
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_134 = torch.nn.functional.batch_norm(
+            x_133,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_133 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_
+        ) = None
+        x_135 = torch.nn.functional.hardswish(x_134, True)
+        x_134 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1152,
+        )
+        x_135 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_
+        ) = None
+        x_137 = torch.nn.functional.batch_norm(
+            x_136,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_136 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_
+        ) = None
+        x_138 = torch.nn.functional.hardswish(x_137, True)
+        x_137 = None
+        x_se_52 = x_138.mean((2, 3), keepdim=True)
+        x_se_53 = torch.conv2d(
+            x_se_52,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_52 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_54 = torch.nn.functional.relu(x_se_53, inplace=True)
+        x_se_53 = None
+        x_se_55 = torch.conv2d(
+            x_se_54,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_54 = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_13 = torch.nn.functional.hardsigmoid(x_se_55, False)
+        x_se_55 = None
+        x_139 = x_138 * hardsigmoid_13
+        x_138 = hardsigmoid_13 = None
+        x_140 = torch.conv2d(
+            x_139,
+            l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_139 = l_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_ = (None)
+        x_141 = torch.nn.functional.batch_norm(
+            x_140,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_140 = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_
+        ) = None
+        x_142 = x_141 + x_132
+        x_141 = x_132 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_143 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_
+        ) = None
+        x_145 = torch.nn.functional.hardswish(x_144, True)
+        x_144 = None
+        x_146 = torch.conv2d(
+            x_145,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_145 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_
+        ) = None
+        x_147 = torch.nn.functional.batch_norm(
+            x_146,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_146 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_
+        ) = None
+        x_148 = torch.nn.functional.hardswish(x_147, True)
+        x_147 = None
+        x_se_56 = x_148.mean((2, 3), keepdim=True)
+        x_se_57 = torch.conv2d(
+            x_se_56,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_56 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_58 = torch.nn.functional.relu(x_se_57, inplace=True)
+        x_se_57 = None
+        x_se_59 = torch.conv2d(
+            x_se_58,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_58 = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_14 = torch.nn.functional.hardsigmoid(x_se_59, False)
+        x_se_59 = None
+        x_149 = x_148 * hardsigmoid_14
+        x_148 = hardsigmoid_14 = None
+        x_150 = torch.conv2d(
+            x_149,
+            l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_149 = l_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_ = (None)
+        x_151 = torch.nn.functional.batch_norm(
+            x_150,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_150 = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_
+        ) = None
+        x_152 = x_151 + x_142
+        x_151 = x_142 = None
+        x_153 = torch.conv2d(
+            x_152,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_ = (
+            None
+        )
+        x_154 = torch.nn.functional.batch_norm(
+            x_153,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_153 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_
+        ) = None
+        x_155 = torch.nn.functional.hardswish(x_154, True)
+        x_154 = None
+        x_156 = torch.conv2d(
+            x_155,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1152,
+        )
+        x_155 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_
+        ) = None
+        x_157 = torch.nn.functional.batch_norm(
+            x_156,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_156 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_
+        ) = None
+        x_158 = torch.nn.functional.hardswish(x_157, True)
+        x_157 = None
+        x_se_60 = x_158.mean((2, 3), keepdim=True)
+        x_se_61 = torch.conv2d(
+            x_se_60,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_60 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_ = (None)
+        x_se_62 = torch.nn.functional.relu(x_se_61, inplace=True)
+        x_se_61 = None
+        x_se_63 = torch.conv2d(
+            x_se_62,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_se_62 = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_ = l_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_ = (None)
+        hardsigmoid_15 = torch.nn.functional.hardsigmoid(x_se_63, False)
+        x_se_63 = None
+        x_159 = x_158 * hardsigmoid_15
+        x_158 = hardsigmoid_15 = None
+        x_160 = torch.conv2d(
+            x_159,
+            l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_159 = l_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_ = (None)
+        x_161 = torch.nn.functional.batch_norm(
+            x_160,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_,
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_160 = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_
+        ) = None
+        x_162 = x_161 + x_152
+        x_161 = x_152 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_162 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_,
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_
+        ) = (
+            l_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_
+        ) = None
+        x_165 = torch.nn.functional.hardswish(x_164, True)
+        x_164 = None
+        x_166 = torch.nn.functional.adaptive_avg_pool2d(x_165, 1)
+        x_165 = None
+        x_167 = torch.conv2d(
+            x_166,
+            l_self_modules_conv_head_parameters_weight_,
+            l_self_modules_conv_head_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_166 = (
+            l_self_modules_conv_head_parameters_weight_
+        ) = l_self_modules_conv_head_parameters_bias_ = None
+        x_168 = torch.nn.functional.hardswish(x_167, True)
+        x_167 = None
+        x_169 = x_168.flatten(1, -1)
+        x_168 = None
+        x_170 = torch._C._nn.linear(
+            x_169,
+            l_self_modules_classifier_parameters_weight_,
+            l_self_modules_classifier_parameters_bias_,
+        )
+        x_169 = (
+            l_self_modules_classifier_parameters_weight_
+        ) = l_self_modules_classifier_parameters_bias_ = None
+        return (x_170,)
diff --git a/samples/timm/hardcorenas_f.miil_green_in1k/weight_meta.py b/samples/timm/hardcorenas_f.miil_green_in1k/weight_meta.py
new file mode 100644
index 000000000..5d4362c54
--- /dev/null
+++ b/samples/timm/hardcorenas_f.miil_green_in1k/weight_meta.py
@@ -0,0 +1,3398 @@
+class Program_weight_tensor_meta_L_self_modules_conv_stem_parameters_weight_:
+    name = "L_self_modules_conv_stem_parameters_weight_"
+    shape = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_:
+    name = "L_self_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_:
+    name = "L_self_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.462
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_0_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [16, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.354
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_0_modules_0_modules_bn2_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [48, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [48, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.280
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn2_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [16, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.008
+    std = 0.361
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [48, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.013
+    std = 0.200
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.007
+    std = 0.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_0_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn1_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [72, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_buffers_running_var_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_weight_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn2_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [72, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.170
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [72]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_1_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [24, 72, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.293
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_1_modules_1_modules_bn3_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.116
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn1_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [144, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_buffers_running_var_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_weight_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn2_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [40, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.223
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [144, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [144]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.221
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_0_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.090
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_2_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [40, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.224
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_buffers_running_var_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_weight_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_2_modules_1_modules_bn3_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_0_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [120, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_1_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.479
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.159
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_2_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [240, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn1_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [240, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.010
+    std = 0.467
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_buffers_running_var_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_weight_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn2_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [64, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [240, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [240]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_3_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [80, 240, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.160
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_3_modules_3_modules_bn3_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [120, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [120]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [480, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_0_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_1_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_2_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [336, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn1_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [336, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_buffers_running_var_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_weight_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn2_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [88, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.151
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [88]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [336, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [336]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_4_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [112, 336, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_buffers_running_var_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_weight_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_4_modules_3_modules_bn3_parameters_bias_"
+    shape = [112]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pw_parameters_weight_"
+    )
+    shape = [672, 112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn1_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_dw_parameters_weight_"
+    )
+    shape = [672, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.282
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_mean_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_buffers_running_var_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_weight_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn2_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [168, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [168]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [672, 168, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [672]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_0_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 672, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_0_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_1_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_1_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_2_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_2_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pw_parameters_weight_"
+    )
+    shape = [1152, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn1_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_dw_parameters_weight_"
+    )
+    shape = [1152, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_mean_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_buffers_running_var_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_weight_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn2_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_weight_"
+    shape = [288, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_reduce_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_weight_"
+    shape = [1152, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_se_modules_conv_expand_parameters_bias_"
+    shape = [1152]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_:
+    name = (
+        "L_self_modules_blocks_modules_5_modules_3_modules_conv_pwl_parameters_weight_"
+    )
+    shape = [192, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_:
+    name = "L_self_modules_blocks_modules_5_modules_3_modules_bn3_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_conv_parameters_weight_"
+    shape = [960, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_:
+    name = "L_self_modules_blocks_modules_6_modules_0_modules_bn1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_weight_:
+    name = "L_self_modules_conv_head_parameters_weight_"
+    shape = [1280, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_conv_head_parameters_bias_:
+    name = "L_self_modules_conv_head_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_:
+    name = "L_self_modules_classifier_parameters_weight_"
+    shape = [1000, 1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_:
+    name = "L_self_modules_classifier_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hgnet_base.ssld_in1k/graph_hash.txt b/samples/timm/hgnet_base.ssld_in1k/graph_hash.txt
new file mode 100644
index 000000000..7a20cb745
--- /dev/null
+++ b/samples/timm/hgnet_base.ssld_in1k/graph_hash.txt
@@ -0,0 +1 @@
+1e8bbbdf228b372c553ca55453566e2196156fee389d6b4bb65c032399e3e354
\ No newline at end of file
diff --git a/samples/timm/hgnet_base.ssld_in1k/graph_net.json b/samples/timm/hgnet_base.ssld_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hgnet_base.ssld_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hgnet_base.ssld_in1k/input_meta.py b/samples/timm/hgnet_base.ssld_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnet_base.ssld_in1k/input_tensor_constraints.py b/samples/timm/hgnet_base.ssld_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnet_base.ssld_in1k/model.py b/samples/timm/hgnet_base.ssld_in1k/model.py
new file mode 100644
index 000000000..6a1d8cd39
--- /dev/null
+++ b/samples/timm/hgnet_base.ssld_in1k/model.py
@@ -0,0 +1,2717 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
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+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_head_modules_last_conv_modules_0_parameters_weight_ = (
+            L_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_
+        ) = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=False)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_2 = (
+            l_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=False)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_
+        ) = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=False)
+        x_7 = None
+        x_9 = torch.nn.functional.max_pool2d(
+            x_8, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_8 = None
+        x_10 = torch.conv2d(
+            x_9,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_11 = torch.nn.functional.batch_norm(
+            x_10,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_10 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_12 = torch.nn.functional.relu(x_11, inplace=False)
+        x_11 = None
+        x_13 = torch.conv2d(
+            x_12,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_14 = torch.nn.functional.batch_norm(
+            x_13,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_13 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_15 = torch.nn.functional.relu(x_14, inplace=False)
+        x_14 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_18 = torch.nn.functional.relu(x_17, inplace=False)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_21 = torch.nn.functional.relu(x_20, inplace=False)
+        x_20 = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=False)
+        x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_27 = torch.nn.functional.relu(x_26, inplace=False)
+        x_26 = None
+        x_28 = torch.conv2d(
+            x_27,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_29 = torch.nn.functional.batch_norm(
+            x_28,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_28 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_ = (None)
+        x_30 = torch.nn.functional.relu(x_29, inplace=False)
+        x_29 = None
+        x_31 = torch.cat([x_9, x_12, x_15, x_18, x_21, x_24, x_27, x_30], dim=1)
+        x_9 = x_12 = x_15 = x_18 = x_21 = x_24 = x_27 = x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_31 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_34 = torch.nn.functional.relu(x_33, inplace=False)
+        x_33 = None
+        x_35 = x_34.mean((2, 3), keepdim=True)
+        x_36 = torch.conv2d(
+            x_35,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_35 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_37 = torch.sigmoid(x_36)
+        x_36 = None
+        input_1 = torch.mul(x_34, x_37)
+        x_34 = x_37 = None
+        x_38 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            320,
+        )
+        input_1 = l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_40 = torch.conv2d(
+            x_39,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.relu(x_41, inplace=False)
+        x_41 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_45 = torch.nn.functional.relu(x_44, inplace=False)
+        x_44 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.relu(x_47, inplace=False)
+        x_47 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_51 = torch.nn.functional.relu(x_50, inplace=False)
+        x_50 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_54 = torch.nn.functional.relu(x_53, inplace=False)
+        x_53 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_55 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_57 = torch.nn.functional.relu(x_56, inplace=False)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_ = (None)
+        x_60 = torch.nn.functional.relu(x_59, inplace=False)
+        x_59 = None
+        x_61 = torch.cat([x_39, x_42, x_45, x_48, x_51, x_54, x_57, x_60], dim=1)
+        x_39 = x_42 = x_45 = x_48 = x_51 = x_54 = x_57 = x_60 = None
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_61 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_64 = torch.nn.functional.relu(x_63, inplace=False)
+        x_63 = None
+        x_65 = x_64.mean((2, 3), keepdim=True)
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_65 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_67 = torch.sigmoid(x_66)
+        x_66 = None
+        input_2 = torch.mul(x_64, x_67)
+        x_64 = x_67 = None
+        x_68 = torch.conv2d(
+            input_2,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.nn.functional.relu(x_69, inplace=False)
+        x_69 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_72 = torch.nn.functional.batch_norm(
+            x_71,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_71 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_73 = torch.nn.functional.relu(x_72, inplace=False)
+        x_72 = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.nn.functional.relu(x_75, inplace=False)
+        x_75 = None
+        x_77 = torch.conv2d(
+            x_76,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_78 = torch.nn.functional.batch_norm(
+            x_77,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_77 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_79 = torch.nn.functional.relu(x_78, inplace=False)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_82 = torch.nn.functional.relu(x_81, inplace=False)
+        x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_85 = torch.nn.functional.relu(x_84, inplace=False)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=False)
+        x_87 = None
+        x_89 = torch.cat([input_2, x_70, x_73, x_76, x_79, x_82, x_85, x_88], dim=1)
+        x_70 = x_73 = x_76 = x_79 = x_82 = x_85 = x_88 = None
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_89 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.relu(x_91, inplace=False)
+        x_91 = None
+        x_93 = x_92.mean((2, 3), keepdim=True)
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_93 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_95 = torch.sigmoid(x_94)
+        x_94 = None
+        input_3 = torch.mul(x_92, x_95)
+        x_92 = x_95 = None
+        x_96 = input_3 + input_2
+        input_3 = input_2 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            640,
+        )
+        x_96 = l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_99 = torch.conv2d(
+            x_98,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_100 = torch.nn.functional.batch_norm(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_99 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_101 = torch.nn.functional.relu(x_100, inplace=False)
+        x_100 = None
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_104 = torch.nn.functional.relu(x_103, inplace=False)
+        x_103 = None
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_107 = torch.nn.functional.relu(x_106, inplace=False)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_110 = torch.nn.functional.relu(x_109, inplace=False)
+        x_109 = None
+        x_111 = torch.conv2d(
+            x_110,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_112 = torch.nn.functional.batch_norm(
+            x_111,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_111 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_113 = torch.nn.functional.relu(x_112, inplace=False)
+        x_112 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_116 = torch.nn.functional.relu(x_115, inplace=False)
+        x_115 = None
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_ = (None)
+        x_119 = torch.nn.functional.relu(x_118, inplace=False)
+        x_118 = None
+        x_120 = torch.cat(
+            [x_98, x_101, x_104, x_107, x_110, x_113, x_116, x_119], dim=1
+        )
+        x_98 = x_101 = x_104 = x_107 = x_110 = x_113 = x_116 = x_119 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_123 = torch.nn.functional.relu(x_122, inplace=False)
+        x_122 = None
+        x_124 = x_123.mean((2, 3), keepdim=True)
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_126 = torch.sigmoid(x_125)
+        x_125 = None
+        input_4 = torch.mul(x_123, x_126)
+        x_123 = x_126 = None
+        x_127 = torch.conv2d(
+            input_4,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_129 = torch.nn.functional.relu(x_128, inplace=False)
+        x_128 = None
+        x_130 = torch.conv2d(
+            x_129,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_131 = torch.nn.functional.batch_norm(
+            x_130,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_130 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_132 = torch.nn.functional.relu(x_131, inplace=False)
+        x_131 = None
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_134 = torch.nn.functional.batch_norm(
+            x_133,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_133 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_135 = torch.nn.functional.relu(x_134, inplace=False)
+        x_134 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_137 = torch.nn.functional.batch_norm(
+            x_136,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_136 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_138 = torch.nn.functional.relu(x_137, inplace=False)
+        x_137 = None
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_141 = torch.nn.functional.relu(x_140, inplace=False)
+        x_140 = None
+        x_142 = torch.conv2d(
+            x_141,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_143 = torch.nn.functional.batch_norm(
+            x_142,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_142 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_144 = torch.nn.functional.relu(x_143, inplace=False)
+        x_143 = None
+        x_145 = torch.conv2d(
+            x_144,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_146 = torch.nn.functional.batch_norm(
+            x_145,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_145 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_ = (None)
+        x_147 = torch.nn.functional.relu(x_146, inplace=False)
+        x_146 = None
+        x_148 = torch.cat(
+            [input_4, x_129, x_132, x_135, x_138, x_141, x_144, x_147], dim=1
+        )
+        x_129 = x_132 = x_135 = x_138 = x_141 = x_144 = x_147 = None
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_148 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_151 = torch.nn.functional.relu(x_150, inplace=False)
+        x_150 = None
+        x_152 = x_151.mean((2, 3), keepdim=True)
+        x_153 = torch.conv2d(
+            x_152,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_152 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_154 = torch.sigmoid(x_153)
+        x_153 = None
+        input_5 = torch.mul(x_151, x_154)
+        x_151 = x_154 = None
+        x_155 = input_5 + input_4
+        input_5 = input_4 = None
+        x_156 = torch.conv2d(
+            x_155,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_157 = torch.nn.functional.batch_norm(
+            x_156,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_156 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_158 = torch.nn.functional.relu(x_157, inplace=False)
+        x_157 = None
+        x_159 = torch.conv2d(
+            x_158,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_160 = torch.nn.functional.batch_norm(
+            x_159,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_159 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_161 = torch.nn.functional.relu(x_160, inplace=False)
+        x_160 = None
+        x_162 = torch.conv2d(
+            x_161,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_163 = torch.nn.functional.batch_norm(
+            x_162,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_162 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_164 = torch.nn.functional.relu(x_163, inplace=False)
+        x_163 = None
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_166 = torch.nn.functional.batch_norm(
+            x_165,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_165 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_167 = torch.nn.functional.relu(x_166, inplace=False)
+        x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_170 = torch.nn.functional.relu(x_169, inplace=False)
+        x_169 = None
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_173 = torch.nn.functional.relu(x_172, inplace=False)
+        x_172 = None
+        x_174 = torch.conv2d(
+            x_173,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_175 = torch.nn.functional.batch_norm(
+            x_174,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_174 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_bias_ = (None)
+        x_176 = torch.nn.functional.relu(x_175, inplace=False)
+        x_175 = None
+        x_177 = torch.cat(
+            [x_155, x_158, x_161, x_164, x_167, x_170, x_173, x_176], dim=1
+        )
+        x_158 = x_161 = x_164 = x_167 = x_170 = x_173 = x_176 = None
+        x_178 = torch.conv2d(
+            x_177,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_177 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_179 = torch.nn.functional.batch_norm(
+            x_178,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_178 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_180 = torch.nn.functional.relu(x_179, inplace=False)
+        x_179 = None
+        x_181 = x_180.mean((2, 3), keepdim=True)
+        x_182 = torch.conv2d(
+            x_181,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_181 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_183 = torch.sigmoid(x_182)
+        x_182 = None
+        input_6 = torch.mul(x_180, x_183)
+        x_180 = x_183 = None
+        x_184 = input_6 + x_155
+        input_6 = x_155 = None
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        x_184 = l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_186 = torch.nn.functional.batch_norm(
+            x_185,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_185 = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_187 = torch.conv2d(
+            x_186,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_188 = torch.nn.functional.batch_norm(
+            x_187,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_187 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_189 = torch.nn.functional.relu(x_188, inplace=False)
+        x_188 = None
+        x_190 = torch.conv2d(
+            x_189,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_191 = torch.nn.functional.batch_norm(
+            x_190,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_190 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_192 = torch.nn.functional.relu(x_191, inplace=False)
+        x_191 = None
+        x_193 = torch.conv2d(
+            x_192,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_194 = torch.nn.functional.batch_norm(
+            x_193,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_193 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_195 = torch.nn.functional.relu(x_194, inplace=False)
+        x_194 = None
+        x_196 = torch.conv2d(
+            x_195,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_197 = torch.nn.functional.batch_norm(
+            x_196,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_196 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_198 = torch.nn.functional.relu(x_197, inplace=False)
+        x_197 = None
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_200 = torch.nn.functional.batch_norm(
+            x_199,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_199 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_201 = torch.nn.functional.relu(x_200, inplace=False)
+        x_200 = None
+        x_202 = torch.conv2d(
+            x_201,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_203 = torch.nn.functional.batch_norm(
+            x_202,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_202 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_204 = torch.nn.functional.relu(x_203, inplace=False)
+        x_203 = None
+        x_205 = torch.conv2d(
+            x_204,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_206 = torch.nn.functional.batch_norm(
+            x_205,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_205 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_ = (None)
+        x_207 = torch.nn.functional.relu(x_206, inplace=False)
+        x_206 = None
+        x_208 = torch.cat(
+            [x_186, x_189, x_192, x_195, x_198, x_201, x_204, x_207], dim=1
+        )
+        x_186 = x_189 = x_192 = x_195 = x_198 = x_201 = x_204 = x_207 = None
+        x_209 = torch.conv2d(
+            x_208,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_208 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_210 = torch.nn.functional.batch_norm(
+            x_209,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_209 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_211 = torch.nn.functional.relu(x_210, inplace=False)
+        x_210 = None
+        x_212 = x_211.mean((2, 3), keepdim=True)
+        x_213 = torch.conv2d(
+            x_212,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_212 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_214 = torch.sigmoid(x_213)
+        x_213 = None
+        input_7 = torch.mul(x_211, x_214)
+        x_211 = x_214 = None
+        x_215 = torch.conv2d(
+            input_7,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_216 = torch.nn.functional.batch_norm(
+            x_215,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_215 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_217 = torch.nn.functional.relu(x_216, inplace=False)
+        x_216 = None
+        x_218 = torch.conv2d(
+            x_217,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_219 = torch.nn.functional.batch_norm(
+            x_218,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_218 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_220 = torch.nn.functional.relu(x_219, inplace=False)
+        x_219 = None
+        x_221 = torch.conv2d(
+            x_220,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_222 = torch.nn.functional.batch_norm(
+            x_221,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_221 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_223 = torch.nn.functional.relu(x_222, inplace=False)
+        x_222 = None
+        x_224 = torch.conv2d(
+            x_223,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_225 = torch.nn.functional.batch_norm(
+            x_224,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_224 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_226 = torch.nn.functional.relu(x_225, inplace=False)
+        x_225 = None
+        x_227 = torch.conv2d(
+            x_226,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_228 = torch.nn.functional.batch_norm(
+            x_227,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_227 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_229 = torch.nn.functional.relu(x_228, inplace=False)
+        x_228 = None
+        x_230 = torch.conv2d(
+            x_229,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_231 = torch.nn.functional.batch_norm(
+            x_230,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_230 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_232 = torch.nn.functional.relu(x_231, inplace=False)
+        x_231 = None
+        x_233 = torch.conv2d(
+            x_232,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_234 = torch.nn.functional.batch_norm(
+            x_233,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_233 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_ = (None)
+        x_235 = torch.nn.functional.relu(x_234, inplace=False)
+        x_234 = None
+        x_236 = torch.cat(
+            [input_7, x_217, x_220, x_223, x_226, x_229, x_232, x_235], dim=1
+        )
+        x_217 = x_220 = x_223 = x_226 = x_229 = x_232 = x_235 = None
+        x_237 = torch.conv2d(
+            x_236,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_236 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_238 = torch.nn.functional.batch_norm(
+            x_237,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_237 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_239 = torch.nn.functional.relu(x_238, inplace=False)
+        x_238 = None
+        x_240 = x_239.mean((2, 3), keepdim=True)
+        x_241 = torch.conv2d(
+            x_240,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_240 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_242 = torch.sigmoid(x_241)
+        x_241 = None
+        input_8 = torch.mul(x_239, x_242)
+        x_239 = x_242 = None
+        x_243 = input_8 + input_7
+        input_8 = input_7 = None
+        x_244 = torch.nn.functional.adaptive_avg_pool2d(x_243, 1)
+        x_243 = None
+        input_9 = torch.conv2d(
+            x_244,
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_244 = (
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        ) = None
+        input_10 = torch.nn.functional.relu(input_9, inplace=False)
+        input_9 = None
+        x_245 = torch.nn.functional.dropout(input_10, 0.0, False, False)
+        input_10 = None
+        x_246 = x_245.flatten(1, -1)
+        x_245 = None
+        x_247 = torch._C._nn.linear(
+            x_246,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_246 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_247,)
diff --git a/samples/timm/hgnet_base.ssld_in1k/weight_meta.py b/samples/timm/hgnet_base.ssld_in1k/weight_meta.py
new file mode 100644
index 000000000..26fd7b3ae
--- /dev/null
+++ b/samples/timm/hgnet_base.ssld_in1k/weight_meta.py
@@ -0,0 +1,3714 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_"
+    shape = [96, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.228
+    std = 1.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_"
+    shape = [160, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [320, 1504, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [320, 320, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_"
+    shape = [320, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_"
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [320]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [224, 320, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [640, 1888, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [640, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [224, 640, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [640, 2208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [640, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_"
+    shape = [640, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 640, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [960, 2432, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [960, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 960, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [960, 2752, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [960, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 960, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_conv_parameters_weight_"
+    shape = [256, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_6_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [960, 2752, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [960, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_"
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [288, 960, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_6_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [1280, 2976, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [1280, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [288, 1280, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_conv_parameters_weight_"
+    shape = [288, 288, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layers_modules_6_modules_bn_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [1280, 3296, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [1280, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [1280]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_head_modules_last_conv_modules_0_parameters_weight_"
+    shape = [2048, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hgnet_small.paddle_in1k/graph_hash.txt b/samples/timm/hgnet_small.paddle_in1k/graph_hash.txt
new file mode 100644
index 000000000..c7fda5e60
--- /dev/null
+++ b/samples/timm/hgnet_small.paddle_in1k/graph_hash.txt
@@ -0,0 +1 @@
+171e52c7befd342eabdb201f9a1504e8eea9c0d1f0a5d43e18bbbbbd69f79579
\ No newline at end of file
diff --git a/samples/timm/hgnet_small.paddle_in1k/graph_net.json b/samples/timm/hgnet_small.paddle_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hgnet_small.paddle_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hgnet_small.paddle_in1k/input_meta.py b/samples/timm/hgnet_small.paddle_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnet_small.paddle_in1k/input_tensor_constraints.py b/samples/timm/hgnet_small.paddle_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnet_small.paddle_in1k/model.py b/samples/timm/hgnet_small.paddle_in1k/model.py
new file mode 100644
index 000000000..9bdc8c2ec
--- /dev/null
+++ b/samples/timm/hgnet_small.paddle_in1k/model.py
@@ -0,0 +1,1629 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_head_modules_last_conv_modules_0_parameters_weight_ = (
+            L_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_
+        ) = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=False)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_2 = (
+            l_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=False)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_
+        ) = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=False)
+        x_7 = None
+        x_9 = torch.nn.functional.max_pool2d(
+            x_8, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_8 = None
+        x_10 = torch.conv2d(
+            x_9,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_11 = torch.nn.functional.batch_norm(
+            x_10,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_10 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_12 = torch.nn.functional.relu(x_11, inplace=False)
+        x_11 = None
+        x_13 = torch.conv2d(
+            x_12,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_14 = torch.nn.functional.batch_norm(
+            x_13,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_13 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_15 = torch.nn.functional.relu(x_14, inplace=False)
+        x_14 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_18 = torch.nn.functional.relu(x_17, inplace=False)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_21 = torch.nn.functional.relu(x_20, inplace=False)
+        x_20 = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=False)
+        x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_25 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_27 = torch.nn.functional.relu(x_26, inplace=False)
+        x_26 = None
+        x_28 = torch.cat([x_9, x_12, x_15, x_18, x_21, x_24, x_27], dim=1)
+        x_9 = x_12 = x_15 = x_18 = x_21 = x_24 = x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_28 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_30 = torch.nn.functional.batch_norm(
+            x_29,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_29 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_31 = torch.nn.functional.relu(x_30, inplace=False)
+        x_30 = None
+        x_32 = x_31.mean((2, 3), keepdim=True)
+        x_33 = torch.conv2d(
+            x_32,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_32 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_34 = torch.sigmoid(x_33)
+        x_33 = None
+        input_1 = torch.mul(x_31, x_34)
+        x_31 = x_34 = None
+        x_35 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        input_1 = l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_37 = torch.conv2d(
+            x_36,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_38 = torch.nn.functional.batch_norm(
+            x_37,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_37 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_39 = torch.nn.functional.relu(x_38, inplace=False)
+        x_38 = None
+        x_40 = torch.conv2d(
+            x_39,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.relu(x_41, inplace=False)
+        x_41 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_45 = torch.nn.functional.relu(x_44, inplace=False)
+        x_44 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.relu(x_47, inplace=False)
+        x_47 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_51 = torch.nn.functional.relu(x_50, inplace=False)
+        x_50 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_52 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_54 = torch.nn.functional.relu(x_53, inplace=False)
+        x_53 = None
+        x_55 = torch.cat([x_36, x_39, x_42, x_45, x_48, x_51, x_54], dim=1)
+        x_36 = x_39 = x_42 = x_45 = x_48 = x_51 = x_54 = None
+        x_56 = torch.conv2d(
+            x_55,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_55 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_58 = torch.nn.functional.relu(x_57, inplace=False)
+        x_57 = None
+        x_59 = x_58.mean((2, 3), keepdim=True)
+        x_60 = torch.conv2d(
+            x_59,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_59 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_61 = torch.sigmoid(x_60)
+        x_60 = None
+        input_2 = torch.mul(x_58, x_61)
+        x_58 = x_61 = None
+        x_62 = torch.conv2d(
+            input_2,
+            l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        input_2 = l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.relu(x_65, inplace=False)
+        x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_69 = torch.nn.functional.relu(x_68, inplace=False)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=False)
+        x_71 = None
+        x_73 = torch.conv2d(
+            x_72,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_74 = torch.nn.functional.batch_norm(
+            x_73,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_73 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_75 = torch.nn.functional.relu(x_74, inplace=False)
+        x_74 = None
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.relu(x_77, inplace=False)
+        x_77 = None
+        x_79 = torch.conv2d(
+            x_78,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_80 = torch.nn.functional.batch_norm(
+            x_79,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_79 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_81 = torch.nn.functional.relu(x_80, inplace=False)
+        x_80 = None
+        x_82 = torch.cat([x_63, x_66, x_69, x_72, x_75, x_78, x_81], dim=1)
+        x_63 = x_66 = x_69 = x_72 = x_75 = x_78 = x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_82 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_85 = torch.nn.functional.relu(x_84, inplace=False)
+        x_84 = None
+        x_86 = x_85.mean((2, 3), keepdim=True)
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_88 = torch.sigmoid(x_87)
+        x_87 = None
+        input_3 = torch.mul(x_85, x_88)
+        x_85 = x_88 = None
+        x_89 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_91 = torch.nn.functional.relu(x_90, inplace=False)
+        x_90 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=False)
+        x_93 = None
+        x_95 = torch.conv2d(
+            x_94,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_96 = torch.nn.functional.batch_norm(
+            x_95,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_95 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_97 = torch.nn.functional.relu(x_96, inplace=False)
+        x_96 = None
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_100 = torch.nn.functional.relu(x_99, inplace=False)
+        x_99 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_103 = torch.nn.functional.relu(x_102, inplace=False)
+        x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_106 = torch.nn.functional.relu(x_105, inplace=False)
+        x_105 = None
+        x_107 = torch.cat([input_3, x_91, x_94, x_97, x_100, x_103, x_106], dim=1)
+        x_91 = x_94 = x_97 = x_100 = x_103 = x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_107 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_110 = torch.nn.functional.relu(x_109, inplace=False)
+        x_109 = None
+        x_111 = x_110.mean((2, 3), keepdim=True)
+        x_112 = torch.conv2d(
+            x_111,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_111 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_113 = torch.sigmoid(x_112)
+        x_112 = None
+        input_4 = torch.mul(x_110, x_113)
+        x_110 = x_113 = None
+        x_114 = input_4 + input_3
+        input_4 = input_3 = None
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_114 = l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_116 = torch.nn.functional.batch_norm(
+            x_115,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_115 = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_119 = torch.nn.functional.relu(x_118, inplace=False)
+        x_118 = None
+        x_120 = torch.conv2d(
+            x_119,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_121 = torch.nn.functional.batch_norm(
+            x_120,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_120 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_122 = torch.nn.functional.relu(x_121, inplace=False)
+        x_121 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_125 = torch.nn.functional.relu(x_124, inplace=False)
+        x_124 = None
+        x_126 = torch.conv2d(
+            x_125,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_127 = torch.nn.functional.batch_norm(
+            x_126,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_126 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_128 = torch.nn.functional.relu(x_127, inplace=False)
+        x_127 = None
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_130 = torch.nn.functional.batch_norm(
+            x_129,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_129 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_131 = torch.nn.functional.relu(x_130, inplace=False)
+        x_130 = None
+        x_132 = torch.conv2d(
+            x_131,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_133 = torch.nn.functional.batch_norm(
+            x_132,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_132 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_ = (None)
+        x_134 = torch.nn.functional.relu(x_133, inplace=False)
+        x_133 = None
+        x_135 = torch.cat([x_116, x_119, x_122, x_125, x_128, x_131, x_134], dim=1)
+        x_116 = x_119 = x_122 = x_125 = x_128 = x_131 = x_134 = None
+        x_136 = torch.conv2d(
+            x_135,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_135 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_137 = torch.nn.functional.batch_norm(
+            x_136,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_136 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_138 = torch.nn.functional.relu(x_137, inplace=False)
+        x_137 = None
+        x_139 = x_138.mean((2, 3), keepdim=True)
+        x_140 = torch.conv2d(
+            x_139,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_139 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_141 = torch.sigmoid(x_140)
+        x_140 = None
+        input_5 = torch.mul(x_138, x_141)
+        x_138 = x_141 = None
+        x_142 = torch.nn.functional.adaptive_avg_pool2d(input_5, 1)
+        input_5 = None
+        input_6 = torch.conv2d(
+            x_142,
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_142 = (
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        ) = None
+        input_7 = torch.nn.functional.relu(input_6, inplace=False)
+        input_6 = None
+        x_143 = torch.nn.functional.dropout(input_7, 0.0, False, False)
+        input_7 = None
+        x_144 = x_143.flatten(1, -1)
+        x_143 = None
+        x_145 = torch._C._nn.linear(
+            x_144,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_144 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_145,)
diff --git a/samples/timm/hgnet_small.paddle_in1k/weight_meta.py b/samples/timm/hgnet_small.paddle_in1k/weight_meta.py
new file mode 100644
index 000000000..d386bddf5
--- /dev/null
+++ b/samples/timm/hgnet_small.paddle_in1k/weight_meta.py
@@ -0,0 +1,2204 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.227
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_"
+    shape = [128, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [160, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 1216, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [768, 1664, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [768, 1920, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [224, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_5_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [1024, 2112, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [1024, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_head_modules_last_conv_modules_0_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hgnet_tiny.paddle_in1k/graph_hash.txt b/samples/timm/hgnet_tiny.paddle_in1k/graph_hash.txt
new file mode 100644
index 000000000..105871875
--- /dev/null
+++ b/samples/timm/hgnet_tiny.paddle_in1k/graph_hash.txt
@@ -0,0 +1 @@
+c96924ada854fd1a9bea9bad50b4bee1410508cdb2f4f3ee417978acac16d702
\ No newline at end of file
diff --git a/samples/timm/hgnet_tiny.paddle_in1k/graph_net.json b/samples/timm/hgnet_tiny.paddle_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hgnet_tiny.paddle_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hgnet_tiny.paddle_in1k/input_meta.py b/samples/timm/hgnet_tiny.paddle_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnet_tiny.paddle_in1k/input_tensor_constraints.py b/samples/timm/hgnet_tiny.paddle_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnet_tiny.paddle_in1k/model.py b/samples/timm/hgnet_tiny.paddle_in1k/model.py
new file mode 100644
index 000000000..b491c03ad
--- /dev/null
+++ b/samples/timm/hgnet_tiny.paddle_in1k/model.py
@@ -0,0 +1,1454 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_
+        l_self_modules_head_modules_last_conv_modules_0_parameters_weight_ = (
+            L_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = (
+            l_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_
+        ) = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_
+        ) = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=False)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_2 = (
+            l_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_
+        ) = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_3 = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_
+        ) = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=False)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = (
+            l_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_
+        ) = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_6 = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_
+        ) = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=False)
+        x_7 = None
+        x_9 = torch.nn.functional.max_pool2d(
+            x_8, 3, 2, 1, 1, ceil_mode=False, return_indices=False
+        )
+        x_8 = None
+        x_10 = torch.conv2d(
+            x_9,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_11 = torch.nn.functional.batch_norm(
+            x_10,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_10 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_12 = torch.nn.functional.relu(x_11, inplace=False)
+        x_11 = None
+        x_13 = torch.conv2d(
+            x_12,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_14 = torch.nn.functional.batch_norm(
+            x_13,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_13 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_15 = torch.nn.functional.relu(x_14, inplace=False)
+        x_14 = None
+        x_16 = torch.conv2d(
+            x_15,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_17 = torch.nn.functional.batch_norm(
+            x_16,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_16 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_18 = torch.nn.functional.relu(x_17, inplace=False)
+        x_17 = None
+        x_19 = torch.conv2d(
+            x_18,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_20 = torch.nn.functional.batch_norm(
+            x_19,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_19 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_21 = torch.nn.functional.relu(x_20, inplace=False)
+        x_20 = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=False)
+        x_23 = None
+        x_25 = torch.cat([x_9, x_12, x_15, x_18, x_21, x_24], dim=1)
+        x_9 = x_12 = x_15 = x_18 = x_21 = x_24 = None
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_25 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.relu(x_27, inplace=False)
+        x_27 = None
+        x_29 = x_28.mean((2, 3), keepdim=True)
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_29 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_31 = torch.sigmoid(x_30)
+        x_30 = None
+        input_1 = torch.mul(x_28, x_31)
+        x_28 = x_31 = None
+        x_32 = torch.conv2d(
+            input_1,
+            l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            224,
+        )
+        input_1 = l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_32 = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.relu(x_35, inplace=False)
+        x_35 = None
+        x_37 = torch.conv2d(
+            x_36,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_38 = torch.nn.functional.batch_norm(
+            x_37,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_37 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_39 = torch.nn.functional.relu(x_38, inplace=False)
+        x_38 = None
+        x_40 = torch.conv2d(
+            x_39,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_41 = torch.nn.functional.batch_norm(
+            x_40,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_40 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_42 = torch.nn.functional.relu(x_41, inplace=False)
+        x_41 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_45 = torch.nn.functional.relu(x_44, inplace=False)
+        x_44 = None
+        x_46 = torch.conv2d(
+            x_45,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_47 = torch.nn.functional.batch_norm(
+            x_46,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_46 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_48 = torch.nn.functional.relu(x_47, inplace=False)
+        x_47 = None
+        x_49 = torch.cat([x_33, x_36, x_39, x_42, x_45, x_48], dim=1)
+        x_33 = x_36 = x_39 = x_42 = x_45 = x_48 = None
+        x_50 = torch.conv2d(
+            x_49,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_49 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_51 = torch.nn.functional.batch_norm(
+            x_50,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_50 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_52 = torch.nn.functional.relu(x_51, inplace=False)
+        x_51 = None
+        x_53 = x_52.mean((2, 3), keepdim=True)
+        x_54 = torch.conv2d(
+            x_53,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_53 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_55 = torch.sigmoid(x_54)
+        x_54 = None
+        input_2 = torch.mul(x_52, x_55)
+        x_52 = x_55 = None
+        x_56 = torch.conv2d(
+            input_2,
+            l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            448,
+        )
+        input_2 = l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_57 = torch.nn.functional.batch_norm(
+            x_56,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_56 = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_60 = torch.nn.functional.relu(x_59, inplace=False)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_63 = torch.nn.functional.relu(x_62, inplace=False)
+        x_62 = None
+        x_64 = torch.conv2d(
+            x_63,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_65 = torch.nn.functional.batch_norm(
+            x_64,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_64 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_66 = torch.nn.functional.relu(x_65, inplace=False)
+        x_65 = None
+        x_67 = torch.conv2d(
+            x_66,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_68 = torch.nn.functional.batch_norm(
+            x_67,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_67 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_69 = torch.nn.functional.relu(x_68, inplace=False)
+        x_68 = None
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=False)
+        x_71 = None
+        x_73 = torch.cat([x_57, x_60, x_63, x_66, x_69, x_72], dim=1)
+        x_57 = x_60 = x_63 = x_66 = x_69 = x_72 = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_73 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.nn.functional.relu(x_75, inplace=False)
+        x_75 = None
+        x_77 = x_76.mean((2, 3), keepdim=True)
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_77 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_79 = torch.sigmoid(x_78)
+        x_78 = None
+        input_3 = torch.mul(x_76, x_79)
+        x_76 = x_79 = None
+        x_80 = torch.conv2d(
+            input_3,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_82 = torch.nn.functional.relu(x_81, inplace=False)
+        x_81 = None
+        x_83 = torch.conv2d(
+            x_82,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_84 = torch.nn.functional.batch_norm(
+            x_83,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_83 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_85 = torch.nn.functional.relu(x_84, inplace=False)
+        x_84 = None
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=False)
+        x_87 = None
+        x_89 = torch.conv2d(
+            x_88,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_90 = torch.nn.functional.batch_norm(
+            x_89,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_89 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_91 = torch.nn.functional.relu(x_90, inplace=False)
+        x_90 = None
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=False)
+        x_93 = None
+        x_95 = torch.cat([input_3, x_82, x_85, x_88, x_91, x_94], dim=1)
+        x_82 = x_85 = x_88 = x_91 = x_94 = None
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_95 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.relu(x_97, inplace=False)
+        x_97 = None
+        x_99 = x_98.mean((2, 3), keepdim=True)
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_99 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_101 = torch.sigmoid(x_100)
+        x_100 = None
+        input_4 = torch.mul(x_98, x_101)
+        x_98 = x_101 = None
+        x_102 = input_4 + input_3
+        input_4 = input_3 = None
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        x_102 = l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_107 = torch.nn.functional.relu(x_106, inplace=False)
+        x_106 = None
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_110 = torch.nn.functional.relu(x_109, inplace=False)
+        x_109 = None
+        x_111 = torch.conv2d(
+            x_110,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_112 = torch.nn.functional.batch_norm(
+            x_111,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_111 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_113 = torch.nn.functional.relu(x_112, inplace=False)
+        x_112 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_116 = torch.nn.functional.relu(x_115, inplace=False)
+        x_115 = None
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_119 = torch.nn.functional.relu(x_118, inplace=False)
+        x_118 = None
+        x_120 = torch.cat([x_104, x_107, x_110, x_113, x_116, x_119], dim=1)
+        x_104 = x_107 = x_110 = x_113 = x_116 = x_119 = None
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_120 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_123 = torch.nn.functional.relu(x_122, inplace=False)
+        x_122 = None
+        x_124 = x_123.mean((2, 3), keepdim=True)
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_124 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_ = (None)
+        x_126 = torch.sigmoid(x_125)
+        x_125 = None
+        input_5 = torch.mul(x_123, x_126)
+        x_123 = x_126 = None
+        x_127 = torch.nn.functional.adaptive_avg_pool2d(input_5, 1)
+        input_5 = None
+        input_6 = torch.conv2d(
+            x_127,
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_127 = (
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        ) = None
+        input_7 = torch.nn.functional.relu(input_6, inplace=False)
+        input_6 = None
+        x_128 = torch.nn.functional.dropout(input_7, 0.0, False, False)
+        input_7 = None
+        x_129 = x_128.flatten(1, -1)
+        x_128 = None
+        x_130 = torch._C._nn.linear(
+            x_129,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_129 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_130,)
diff --git a/samples/timm/hgnet_tiny.paddle_in1k/weight_meta.py b/samples/timm/hgnet_tiny.paddle_in1k/weight_meta.py
new file mode 100644
index 000000000..2b551e1ad
--- /dev/null
+++ b/samples/timm/hgnet_tiny.paddle_in1k/weight_meta.py
@@ -0,0 +1,1954 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_conv_parameters_weight_"
+    shape = [48, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem_modules_0_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_conv_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem_modules_1_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_conv_parameters_weight_"
+    shape = [96, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem_modules_2_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [96, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [224, 576, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [224, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_"
+    shape = [224, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [448, 864, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [448, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_"
+    shape = [448, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_"
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [448]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [160, 448, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [160, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 1312, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [512, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [768, 1472, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [768, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_head_modules_last_conv_modules_0_parameters_weight_"
+    shape = [2048, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/graph_hash.txt b/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/graph_hash.txt
new file mode 100644
index 000000000..7d025cbd7
--- /dev/null
+++ b/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/graph_hash.txt
@@ -0,0 +1 @@
+ed9f735b56895791d410451f4acb852aa4ce7277a65f83d2c2d850315eada772
\ No newline at end of file
diff --git a/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/graph_net.json b/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/input_meta.py b/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/input_tensor_constraints.py b/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/model.py b/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/model.py
new file mode 100644
index 000000000..9a9c38040
--- /dev/null
+++ b/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/model.py
@@ -0,0 +1,2023 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_2_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_head_modules_last_conv_modules_0_parameters_weight_ = (
+            L_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ = (
+            L_self_modules_head_modules_last_conv_modules_2_parameters_scale_
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_bias_ = (
+            L_self_modules_head_modules_last_conv_modules_2_parameters_bias_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=False)
+        x_1 = None
+        mul = l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ * x_2
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ = x_2 = None
+        x_3 = mul + l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_
+        mul = l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_ = None
+        x_4 = torch._C._nn.pad(x_3, (0, 1, 0, 1), "constant", None)
+        x_3 = None
+        x_5 = torch.conv2d(
+            x_4,
+            l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_ = None
+        x_6 = torch.nn.functional.batch_norm(
+            x_5,
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_5 = (
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_ = None
+        x_7 = torch.nn.functional.relu(x_6, inplace=False)
+        x_6 = None
+        mul_1 = l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ * x_7
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ = x_7 = None
+        x_8 = mul_1 + l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_
+        mul_1 = l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_ = None
+        x2 = torch._C._nn.pad(x_8, (0, 1, 0, 1), "constant", None)
+        x_8 = None
+        x_9 = torch.conv2d(
+            x2,
+            l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x2 = l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_ = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_ = None
+        x_11 = torch.nn.functional.relu(x_10, inplace=False)
+        x_10 = None
+        mul_2 = l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ * x_11
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ = x_11 = None
+        x_12 = mul_2 + l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_
+        mul_2 = l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_ = None
+        x1 = torch.nn.functional.max_pool2d(
+            x_4, 2, 1, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_4 = None
+        x_13 = torch.cat([x1, x_12], dim=1)
+        x1 = x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_ = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_ = None
+        x_16 = torch.nn.functional.relu(x_15, inplace=False)
+        x_15 = None
+        mul_3 = l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ * x_16
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ = x_16 = None
+        x_17 = mul_3 + l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_
+        mul_3 = l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_ = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_ = None
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_ = None
+        x_20 = torch.nn.functional.relu(x_19, inplace=False)
+        x_19 = None
+        mul_4 = l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ * x_20
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ = x_20 = None
+        x_21 = mul_4 + l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_
+        mul_4 = l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_ = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=False)
+        x_23 = None
+        mul_5 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+            * x_24
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = (
+            x_24
+        ) = None
+        x_25 = (
+            mul_5
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        )
+        mul_5 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = (None)
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.relu(x_27, inplace=False)
+        x_27 = None
+        mul_6 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+            * x_28
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = (
+            x_28
+        ) = None
+        x_29 = (
+            mul_6
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        )
+        mul_6 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = (None)
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=False)
+        x_31 = None
+        mul_7 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+            * x_32
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = (
+            x_32
+        ) = None
+        x_33 = (
+            mul_7
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        )
+        mul_7 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = (None)
+        x_34 = torch.cat([x_21, x_25, x_29, x_33], dim=1)
+        x_21 = x_25 = x_29 = x_33 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_34 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_37 = torch.nn.functional.relu(x_36, inplace=False)
+        x_36 = None
+        mul_8 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_37
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_37
+        ) = None
+        x_38 = (
+            mul_8
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_8 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_41 = torch.nn.functional.relu(x_40, inplace=False)
+        x_40 = None
+        mul_9 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_41
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_41
+        ) = None
+        x_42 = (
+            mul_9
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_9 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        x_42 = l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_47 = torch.nn.functional.relu(x_46, inplace=False)
+        x_46 = None
+        mul_10 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+            * x_47
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = (
+            x_47
+        ) = None
+        x_48 = (
+            mul_10
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        )
+        mul_10 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = (None)
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_51 = torch.nn.functional.relu(x_50, inplace=False)
+        x_50 = None
+        mul_11 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+            * x_51
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = (
+            x_51
+        ) = None
+        x_52 = (
+            mul_11
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        )
+        mul_11 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = (None)
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_55 = torch.nn.functional.relu(x_54, inplace=False)
+        x_54 = None
+        mul_12 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+            * x_55
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = (
+            x_55
+        ) = None
+        x_56 = (
+            mul_12
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        )
+        mul_12 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = (None)
+        x_57 = torch.cat([x_44, x_48, x_52, x_56], dim=1)
+        x_44 = x_48 = x_52 = x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_60 = torch.nn.functional.relu(x_59, inplace=False)
+        x_59 = None
+        mul_13 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_60
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_60
+        ) = None
+        x_61 = (
+            mul_13
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_13 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_61 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_64 = torch.nn.functional.relu(x_63, inplace=False)
+        x_63 = None
+        mul_14 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_64
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_64
+        ) = None
+        x_65 = (
+            mul_14
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_14 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        x_65 = l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            64,
+        )
+        x_69 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=False)
+        x_71 = None
+        mul_15 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_72
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_72
+        ) = None
+        x_73 = (
+            mul_15
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_15 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            64,
+        )
+        x_75 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.relu(x_77, inplace=False)
+        x_77 = None
+        mul_16 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_78
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_78
+        ) = None
+        x_79 = (
+            mul_16
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_16 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            64,
+        )
+        x_81 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.relu(x_83, inplace=False)
+        x_83 = None
+        mul_17 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_84
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_84
+        ) = None
+        x_85 = (
+            mul_17
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_17 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_86 = torch.cat([x_67, x_73, x_79, x_85], dim=1)
+        x_67 = x_73 = x_79 = x_85 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_89 = torch.nn.functional.relu(x_88, inplace=False)
+        x_88 = None
+        mul_18 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_89
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_89
+        ) = None
+        x_90 = (
+            mul_18
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_18 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_90 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_93 = torch.nn.functional.relu(x_92, inplace=False)
+        x_92 = None
+        mul_19 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_93
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_93
+        ) = None
+        x_94 = (
+            mul_19
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_19 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_95 = torch.conv2d(
+            x_94,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_96 = torch.nn.functional.batch_norm(
+            x_95,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_95 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            64,
+        )
+        x_96 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_99 = torch.nn.functional.relu(x_98, inplace=False)
+        x_98 = None
+        mul_20 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_99
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_99
+        ) = None
+        x_100 = (
+            mul_20
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_20 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            64,
+        )
+        x_102 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_105 = torch.nn.functional.relu(x_104, inplace=False)
+        x_104 = None
+        mul_21 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_105
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_105
+        ) = None
+        x_106 = (
+            mul_21
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_21 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_109 = torch.conv2d(
+            x_108,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            64,
+        )
+        x_108 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_110 = torch.nn.functional.batch_norm(
+            x_109,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_109 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_111 = torch.nn.functional.relu(x_110, inplace=False)
+        x_110 = None
+        mul_22 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_111
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_111
+        ) = None
+        x_112 = (
+            mul_22
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_22 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_113 = torch.cat([x_94, x_100, x_106, x_112], dim=1)
+        x_100 = x_106 = x_112 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_113 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_116 = torch.nn.functional.relu(x_115, inplace=False)
+        x_115 = None
+        mul_23 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_116
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_116
+        ) = None
+        x_117 = (
+            mul_23
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_23 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_119 = torch.nn.functional.batch_norm(
+            x_118,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_118 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_120 = torch.nn.functional.relu(x_119, inplace=False)
+        x_119 = None
+        mul_24 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_120
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_120
+        ) = None
+        x_121 = (
+            mul_24
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_24 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_122 = x_121 + x_94
+        x_121 = x_94 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        x_122 = l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_126 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_129 = torch.nn.functional.relu(x_128, inplace=False)
+        x_128 = None
+        mul_25 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_129
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_129
+        ) = None
+        x_130 = (
+            mul_25
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_25 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_132 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_134 = torch.nn.functional.batch_norm(
+            x_133,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_133 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_135 = torch.nn.functional.relu(x_134, inplace=False)
+        x_134 = None
+        mul_26 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_135
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_135
+        ) = None
+        x_136 = (
+            mul_26
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_26 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_137 = torch.conv2d(
+            x_136,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_138 = torch.nn.functional.batch_norm(
+            x_137,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_137 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_138 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_141 = torch.nn.functional.relu(x_140, inplace=False)
+        x_140 = None
+        mul_27 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_141
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_141
+        ) = None
+        x_142 = (
+            mul_27
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_27 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_143 = torch.cat([x_124, x_130, x_136, x_142], dim=1)
+        x_124 = x_130 = x_136 = x_142 = None
+        x_144 = torch.conv2d(
+            x_143,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_143 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_145 = torch.nn.functional.batch_norm(
+            x_144,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_144 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_146 = torch.nn.functional.relu(x_145, inplace=False)
+        x_145 = None
+        mul_28 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_146
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_146
+        ) = None
+        x_147 = (
+            mul_28
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_28 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_148 = torch.conv2d(
+            x_147,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_147 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_149 = torch.nn.functional.batch_norm(
+            x_148,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_148 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.relu(x_149, inplace=False)
+        x_149 = None
+        mul_29 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_150
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_150
+        ) = None
+        x_151 = (
+            mul_29
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_29 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_152 = torch.nn.functional.adaptive_avg_pool2d(x_151, 1)
+        x_151 = None
+        input_1 = torch.conv2d(
+            x_152,
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_152 = (
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        ) = None
+        input_2 = torch.nn.functional.relu(input_1, inplace=False)
+        input_1 = None
+        mul_30 = (
+            l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ * input_2
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ = (
+            input_2
+        ) = None
+        input_3 = (
+            mul_30 + l_self_modules_head_modules_last_conv_modules_2_parameters_bias_
+        )
+        mul_30 = l_self_modules_head_modules_last_conv_modules_2_parameters_bias_ = None
+        x_153 = torch.nn.functional.dropout(input_3, 0.0, False, False)
+        input_3 = None
+        x_154 = x_153.flatten(1, -1)
+        x_153 = None
+        x_155 = torch._C._nn.linear(
+            x_154,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_154 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_155,)
diff --git a/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/weight_meta.py b/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/weight_meta.py
new file mode 100644
index 000000000..dff1eb840
--- /dev/null
+++ b/samples/timm/hgnetv2_b0.ssld_stage1_in22k_in1k/weight_meta.py
@@ -0,0 +1,2774 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_"
+    shape = [16, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.121
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.229
+    std = 1.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_"
+    shape = [8, 16, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_"
+    shape = [16, 8, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.007
+    std = 0.181
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_"
+    shape = [16, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_"
+    shape = [16, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.332
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.116
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.120
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [16, 16, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [32, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.005
+    std = 0.251
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_"
+    shape = [64, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.060
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [32, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [64, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.177
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [64, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [64, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.179
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [64, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [64, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [64, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.003
+    std = 0.175
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [64, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [64, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [64, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 704, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_head_modules_last_conv_modules_0_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_2_parameters_scale_:
+    name = "L_self_modules_head_modules_last_conv_modules_2_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_2_parameters_bias_:
+    name = "L_self_modules_head_modules_last_conv_modules_2_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/graph_hash.txt b/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/graph_hash.txt
new file mode 100644
index 000000000..d5a680dae
--- /dev/null
+++ b/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/graph_hash.txt
@@ -0,0 +1 @@
+bd0fbd54f3938da192bb7f8e34fd266dfc8541c2579194e4e09c3ae8963d0115
\ No newline at end of file
diff --git a/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/graph_net.json b/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/input_meta.py b/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/input_tensor_constraints.py b/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/model.py b/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/model.py
new file mode 100644
index 000000000..82b3a4149
--- /dev/null
+++ b/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/model.py
@@ -0,0 +1,2023 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_2_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_head_modules_last_conv_modules_0_parameters_weight_ = (
+            L_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ = (
+            L_self_modules_head_modules_last_conv_modules_2_parameters_scale_
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_bias_ = (
+            L_self_modules_head_modules_last_conv_modules_2_parameters_bias_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=False)
+        x_1 = None
+        mul = l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ * x_2
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ = x_2 = None
+        x_3 = mul + l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_
+        mul = l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_ = None
+        x_4 = torch._C._nn.pad(x_3, (0, 1, 0, 1), "constant", None)
+        x_3 = None
+        x_5 = torch.conv2d(
+            x_4,
+            l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_ = None
+        x_6 = torch.nn.functional.batch_norm(
+            x_5,
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_5 = (
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_ = None
+        x_7 = torch.nn.functional.relu(x_6, inplace=False)
+        x_6 = None
+        mul_1 = l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ * x_7
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ = x_7 = None
+        x_8 = mul_1 + l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_
+        mul_1 = l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_ = None
+        x2 = torch._C._nn.pad(x_8, (0, 1, 0, 1), "constant", None)
+        x_8 = None
+        x_9 = torch.conv2d(
+            x2,
+            l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x2 = l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_ = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_ = None
+        x_11 = torch.nn.functional.relu(x_10, inplace=False)
+        x_10 = None
+        mul_2 = l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ * x_11
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ = x_11 = None
+        x_12 = mul_2 + l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_
+        mul_2 = l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_ = None
+        x1 = torch.nn.functional.max_pool2d(
+            x_4, 2, 1, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_4 = None
+        x_13 = torch.cat([x1, x_12], dim=1)
+        x1 = x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_ = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_ = None
+        x_16 = torch.nn.functional.relu(x_15, inplace=False)
+        x_15 = None
+        mul_3 = l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ * x_16
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ = x_16 = None
+        x_17 = mul_3 + l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_
+        mul_3 = l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_ = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_ = None
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_ = None
+        x_20 = torch.nn.functional.relu(x_19, inplace=False)
+        x_19 = None
+        mul_4 = l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ * x_20
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ = x_20 = None
+        x_21 = mul_4 + l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_
+        mul_4 = l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_ = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=False)
+        x_23 = None
+        mul_5 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+            * x_24
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = (
+            x_24
+        ) = None
+        x_25 = (
+            mul_5
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        )
+        mul_5 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = (None)
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.relu(x_27, inplace=False)
+        x_27 = None
+        mul_6 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+            * x_28
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = (
+            x_28
+        ) = None
+        x_29 = (
+            mul_6
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        )
+        mul_6 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = (None)
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=False)
+        x_31 = None
+        mul_7 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+            * x_32
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = (
+            x_32
+        ) = None
+        x_33 = (
+            mul_7
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        )
+        mul_7 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = (None)
+        x_34 = torch.cat([x_21, x_25, x_29, x_33], dim=1)
+        x_21 = x_25 = x_29 = x_33 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_34 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_35 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_37 = torch.nn.functional.relu(x_36, inplace=False)
+        x_36 = None
+        mul_8 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_37
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_37
+        ) = None
+        x_38 = (
+            mul_8
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_8 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_41 = torch.nn.functional.relu(x_40, inplace=False)
+        x_40 = None
+        mul_9 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_41
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_41
+        ) = None
+        x_42 = (
+            mul_9
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_9 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        x_42 = l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_45 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_47 = torch.nn.functional.relu(x_46, inplace=False)
+        x_46 = None
+        mul_10 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+            * x_47
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = (
+            x_47
+        ) = None
+        x_48 = (
+            mul_10
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        )
+        mul_10 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = (None)
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_51 = torch.nn.functional.relu(x_50, inplace=False)
+        x_50 = None
+        mul_11 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+            * x_51
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = (
+            x_51
+        ) = None
+        x_52 = (
+            mul_11
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        )
+        mul_11 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = (None)
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_55 = torch.nn.functional.relu(x_54, inplace=False)
+        x_54 = None
+        mul_12 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+            * x_55
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = (
+            x_55
+        ) = None
+        x_56 = (
+            mul_12
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        )
+        mul_12 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = (None)
+        x_57 = torch.cat([x_44, x_48, x_52, x_56], dim=1)
+        x_44 = x_48 = x_52 = x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_57 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_58 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_60 = torch.nn.functional.relu(x_59, inplace=False)
+        x_59 = None
+        mul_13 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_60
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_60
+        ) = None
+        x_61 = (
+            mul_13
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_13 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_62 = torch.conv2d(
+            x_61,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_61 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_63 = torch.nn.functional.batch_norm(
+            x_62,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_62 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_64 = torch.nn.functional.relu(x_63, inplace=False)
+        x_63 = None
+        mul_14 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_64
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_64
+        ) = None
+        x_65 = (
+            mul_14
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_14 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            256,
+        )
+        x_65 = l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_68 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        x_69 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=False)
+        x_71 = None
+        mul_15 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_72
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_72
+        ) = None
+        x_73 = (
+            mul_15
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_15 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        x_75 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.nn.functional.relu(x_77, inplace=False)
+        x_77 = None
+        mul_16 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_78
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_78
+        ) = None
+        x_79 = (
+            mul_16
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_16 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_80 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        x_81 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.nn.functional.relu(x_83, inplace=False)
+        x_83 = None
+        mul_17 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_84
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_84
+        ) = None
+        x_85 = (
+            mul_17
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_17 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_86 = torch.cat([x_67, x_73, x_79, x_85], dim=1)
+        x_67 = x_73 = x_79 = x_85 = None
+        x_87 = torch.conv2d(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_86 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_88 = torch.nn.functional.batch_norm(
+            x_87,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_87 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_89 = torch.nn.functional.relu(x_88, inplace=False)
+        x_88 = None
+        mul_18 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_89
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_89
+        ) = None
+        x_90 = (
+            mul_18
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_18 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_90 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_91 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_93 = torch.nn.functional.relu(x_92, inplace=False)
+        x_92 = None
+        mul_19 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_93
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_93
+        ) = None
+        x_94 = (
+            mul_19
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_19 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_95 = torch.conv2d(
+            x_94,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_96 = torch.nn.functional.batch_norm(
+            x_95,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_95 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        x_96 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_97 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_99 = torch.nn.functional.relu(x_98, inplace=False)
+        x_98 = None
+        mul_20 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_99
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_99
+        ) = None
+        x_100 = (
+            mul_20
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_20 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_103 = torch.conv2d(
+            x_102,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        x_102 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_104 = torch.nn.functional.batch_norm(
+            x_103,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_103 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_105 = torch.nn.functional.relu(x_104, inplace=False)
+        x_104 = None
+        mul_21 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_105
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_105
+        ) = None
+        x_106 = (
+            mul_21
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_21 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_107 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_109 = torch.conv2d(
+            x_108,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            96,
+        )
+        x_108 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_110 = torch.nn.functional.batch_norm(
+            x_109,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_109 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_111 = torch.nn.functional.relu(x_110, inplace=False)
+        x_110 = None
+        mul_22 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_111
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_111
+        ) = None
+        x_112 = (
+            mul_22
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_22 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_113 = torch.cat([x_94, x_100, x_106, x_112], dim=1)
+        x_100 = x_106 = x_112 = None
+        x_114 = torch.conv2d(
+            x_113,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_113 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_115 = torch.nn.functional.batch_norm(
+            x_114,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_114 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_116 = torch.nn.functional.relu(x_115, inplace=False)
+        x_115 = None
+        mul_23 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_116
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_116
+        ) = None
+        x_117 = (
+            mul_23
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_23 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_118 = torch.conv2d(
+            x_117,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_117 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_119 = torch.nn.functional.batch_norm(
+            x_118,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_118 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_120 = torch.nn.functional.relu(x_119, inplace=False)
+        x_119 = None
+        mul_24 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_120
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_120
+        ) = None
+        x_121 = (
+            mul_24
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_24 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_122 = x_121 + x_94
+        x_121 = x_94 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        x_122 = l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        x_126 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_129 = torch.nn.functional.relu(x_128, inplace=False)
+        x_128 = None
+        mul_25 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_129
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_129
+        ) = None
+        x_130 = (
+            mul_25
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_25 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_133 = torch.conv2d(
+            x_132,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        x_132 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_134 = torch.nn.functional.batch_norm(
+            x_133,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_133 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_135 = torch.nn.functional.relu(x_134, inplace=False)
+        x_134 = None
+        mul_26 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_135
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_135
+        ) = None
+        x_136 = (
+            mul_26
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_26 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_137 = torch.conv2d(
+            x_136,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_138 = torch.nn.functional.batch_norm(
+            x_137,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_137 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_139 = torch.conv2d(
+            x_138,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            192,
+        )
+        x_138 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_140 = torch.nn.functional.batch_norm(
+            x_139,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_139 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_141 = torch.nn.functional.relu(x_140, inplace=False)
+        x_140 = None
+        mul_27 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_141
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_141
+        ) = None
+        x_142 = (
+            mul_27
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_27 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_143 = torch.cat([x_124, x_130, x_136, x_142], dim=1)
+        x_124 = x_130 = x_136 = x_142 = None
+        x_144 = torch.conv2d(
+            x_143,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_143 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_145 = torch.nn.functional.batch_norm(
+            x_144,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_144 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_146 = torch.nn.functional.relu(x_145, inplace=False)
+        x_145 = None
+        mul_28 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_146
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_146
+        ) = None
+        x_147 = (
+            mul_28
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_28 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_148 = torch.conv2d(
+            x_147,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_147 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_149 = torch.nn.functional.batch_norm(
+            x_148,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_148 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_150 = torch.nn.functional.relu(x_149, inplace=False)
+        x_149 = None
+        mul_29 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_150
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_150
+        ) = None
+        x_151 = (
+            mul_29
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_29 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_152 = torch.nn.functional.adaptive_avg_pool2d(x_151, 1)
+        x_151 = None
+        input_1 = torch.conv2d(
+            x_152,
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_152 = (
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        ) = None
+        input_2 = torch.nn.functional.relu(input_1, inplace=False)
+        input_1 = None
+        mul_30 = (
+            l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ * input_2
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ = (
+            input_2
+        ) = None
+        input_3 = (
+            mul_30 + l_self_modules_head_modules_last_conv_modules_2_parameters_bias_
+        )
+        mul_30 = l_self_modules_head_modules_last_conv_modules_2_parameters_bias_ = None
+        x_153 = torch.nn.functional.dropout(input_3, 0.0, False, False)
+        input_3 = None
+        x_154 = x_153.flatten(1, -1)
+        x_153 = None
+        x_155 = torch._C._nn.linear(
+            x_154,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_154 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_155,)
diff --git a/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/weight_meta.py b/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/weight_meta.py
new file mode 100644
index 000000000..abae3b665
--- /dev/null
+++ b/samples/timm/hgnetv2_b1.ssld_stage1_in22k_in1k/weight_meta.py
@@ -0,0 +1,2774 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_"
+    shape = [24, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.219
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_"
+    shape = [12, 24, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.003
+    std = 0.206
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_"
+    shape = [24, 12, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.008
+    std = 0.143
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_"
+    shape = [24, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_"
+    shape = [32, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.004
+    std = 0.246
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [32, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.250
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [64, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_"
+    shape = [64, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [48, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [48, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [256, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_"
+    shape = [256, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [96, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.143
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 544, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [96, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [96, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.142
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [96, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 800, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [192, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [192, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [192, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 1088, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_head_modules_last_conv_modules_0_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_2_parameters_scale_:
+    name = "L_self_modules_head_modules_last_conv_modules_2_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_2_parameters_bias_:
+    name = "L_self_modules_head_modules_last_conv_modules_2_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/graph_hash.txt b/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/graph_hash.txt
new file mode 100644
index 000000000..83ee3660a
--- /dev/null
+++ b/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/graph_hash.txt
@@ -0,0 +1 @@
+587a680265bedcfb326964819e020eb10db966ca74b5fdffbe46c125a39e2561
\ No newline at end of file
diff --git a/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/graph_net.json b/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/input_meta.py b/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/input_tensor_constraints.py b/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/model.py b/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/model.py
new file mode 100644
index 000000000..06583cc72
--- /dev/null
+++ b/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/model.py
@@ -0,0 +1,2801 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_2_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_head_modules_last_conv_modules_0_parameters_weight_ = (
+            L_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ = (
+            L_self_modules_head_modules_last_conv_modules_2_parameters_scale_
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_bias_ = (
+            L_self_modules_head_modules_last_conv_modules_2_parameters_bias_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=False)
+        x_1 = None
+        mul = l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ * x_2
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ = x_2 = None
+        x_3 = mul + l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_
+        mul = l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_ = None
+        x_4 = torch._C._nn.pad(x_3, (0, 1, 0, 1), "constant", None)
+        x_3 = None
+        x_5 = torch.conv2d(
+            x_4,
+            l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_ = None
+        x_6 = torch.nn.functional.batch_norm(
+            x_5,
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_5 = (
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_ = None
+        x_7 = torch.nn.functional.relu(x_6, inplace=False)
+        x_6 = None
+        mul_1 = l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ * x_7
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ = x_7 = None
+        x_8 = mul_1 + l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_
+        mul_1 = l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_ = None
+        x2 = torch._C._nn.pad(x_8, (0, 1, 0, 1), "constant", None)
+        x_8 = None
+        x_9 = torch.conv2d(
+            x2,
+            l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x2 = l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_ = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_ = None
+        x_11 = torch.nn.functional.relu(x_10, inplace=False)
+        x_10 = None
+        mul_2 = l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ * x_11
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ = x_11 = None
+        x_12 = mul_2 + l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_
+        mul_2 = l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_ = None
+        x1 = torch.nn.functional.max_pool2d(
+            x_4, 2, 1, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_4 = None
+        x_13 = torch.cat([x1, x_12], dim=1)
+        x1 = x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_ = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_ = None
+        x_16 = torch.nn.functional.relu(x_15, inplace=False)
+        x_15 = None
+        mul_3 = l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ * x_16
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ = x_16 = None
+        x_17 = mul_3 + l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_
+        mul_3 = l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_ = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_ = None
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_ = None
+        x_20 = torch.nn.functional.relu(x_19, inplace=False)
+        x_19 = None
+        mul_4 = l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ * x_20
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ = x_20 = None
+        x_21 = mul_4 + l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_
+        mul_4 = l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_ = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=False)
+        x_23 = None
+        mul_5 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+            * x_24
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = (
+            x_24
+        ) = None
+        x_25 = (
+            mul_5
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        )
+        mul_5 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = (None)
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.relu(x_27, inplace=False)
+        x_27 = None
+        mul_6 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+            * x_28
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = (
+            x_28
+        ) = None
+        x_29 = (
+            mul_6
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        )
+        mul_6 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = (None)
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=False)
+        x_31 = None
+        mul_7 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+            * x_32
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = (
+            x_32
+        ) = None
+        x_33 = (
+            mul_7
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        )
+        mul_7 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = (None)
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.relu(x_35, inplace=False)
+        x_35 = None
+        mul_8 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_
+            * x_36
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_ = (
+            x_36
+        ) = None
+        x_37 = (
+            mul_8
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_
+        )
+        mul_8 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_ = (None)
+        x_38 = torch.cat([x_21, x_25, x_29, x_33, x_37], dim=1)
+        x_21 = x_25 = x_29 = x_33 = x_37 = None
+        x_39 = torch.conv2d(
+            x_38,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_38 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_40 = torch.nn.functional.batch_norm(
+            x_39,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_39 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_41 = torch.nn.functional.relu(x_40, inplace=False)
+        x_40 = None
+        mul_9 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_41
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_41
+        ) = None
+        x_42 = (
+            mul_9
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_9 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_45 = torch.nn.functional.relu(x_44, inplace=False)
+        x_44 = None
+        mul_10 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_45
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_45
+        ) = None
+        x_46 = (
+            mul_10
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_10 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        x_46 = l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_49 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_51 = torch.nn.functional.relu(x_50, inplace=False)
+        x_50 = None
+        mul_11 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+            * x_51
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = (
+            x_51
+        ) = None
+        x_52 = (
+            mul_11
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        )
+        mul_11 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = (None)
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_55 = torch.nn.functional.relu(x_54, inplace=False)
+        x_54 = None
+        mul_12 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+            * x_55
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = (
+            x_55
+        ) = None
+        x_56 = (
+            mul_12
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        )
+        mul_12 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = (None)
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_59 = torch.nn.functional.relu(x_58, inplace=False)
+        x_58 = None
+        mul_13 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+            * x_59
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = (
+            x_59
+        ) = None
+        x_60 = (
+            mul_13
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        )
+        mul_13 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = (None)
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_63 = torch.nn.functional.relu(x_62, inplace=False)
+        x_62 = None
+        mul_14 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_
+            * x_63
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_ = (
+            x_63
+        ) = None
+        x_64 = (
+            mul_14
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_
+        )
+        mul_14 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_ = (None)
+        x_65 = torch.cat([x_48, x_52, x_56, x_60, x_64], dim=1)
+        x_48 = x_52 = x_56 = x_60 = x_64 = None
+        x_66 = torch.conv2d(
+            x_65,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_65 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_67 = torch.nn.functional.batch_norm(
+            x_66,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_66 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_68 = torch.nn.functional.relu(x_67, inplace=False)
+        x_67 = None
+        mul_15 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_68
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_68
+        ) = None
+        x_69 = (
+            mul_15
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_15 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_70 = torch.conv2d(
+            x_69,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_69 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_71 = torch.nn.functional.batch_norm(
+            x_70,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_70 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_72 = torch.nn.functional.relu(x_71, inplace=False)
+        x_71 = None
+        mul_16 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_72
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_72
+        ) = None
+        x_73 = (
+            mul_16
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_16 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            384,
+        )
+        x_73 = l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.conv2d(
+            x_75,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_77 = torch.nn.functional.batch_norm(
+            x_76,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_77 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.relu(x_79, inplace=False)
+        x_79 = None
+        mul_17 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_80
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_80
+        ) = None
+        x_81 = (
+            mul_17
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_17 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_83 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_86 = torch.nn.functional.relu(x_85, inplace=False)
+        x_85 = None
+        mul_18 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_86
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_86
+        ) = None
+        x_87 = (
+            mul_18
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_18 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_88 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_89 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.nn.functional.relu(x_91, inplace=False)
+        x_91 = None
+        mul_19 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_92
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_92
+        ) = None
+        x_93 = (
+            mul_19
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_19 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_94 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_95 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_98 = torch.nn.functional.relu(x_97, inplace=False)
+        x_97 = None
+        mul_20 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+            * x_98
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = (
+            x_98
+        ) = None
+        x_99 = (
+            mul_20
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_20 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_100 = torch.cat([x_75, x_81, x_87, x_93, x_99], dim=1)
+        x_75 = x_81 = x_87 = x_93 = x_99 = None
+        x_101 = torch.conv2d(
+            x_100,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_100 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_102 = torch.nn.functional.batch_norm(
+            x_101,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_101 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_103 = torch.nn.functional.relu(x_102, inplace=False)
+        x_102 = None
+        mul_21 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_103
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_103
+        ) = None
+        x_104 = (
+            mul_21
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_21 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_105 = torch.conv2d(
+            x_104,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_104 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_106 = torch.nn.functional.batch_norm(
+            x_105,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_105 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_107 = torch.nn.functional.relu(x_106, inplace=False)
+        x_106 = None
+        mul_22 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_107
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_107
+        ) = None
+        x_108 = (
+            mul_22
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_22 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_109 = torch.conv2d(
+            x_108,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_110 = torch.nn.functional.batch_norm(
+            x_109,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_109 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_111 = torch.conv2d(
+            x_110,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_110 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_112 = torch.nn.functional.batch_norm(
+            x_111,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_111 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_113 = torch.nn.functional.relu(x_112, inplace=False)
+        x_112 = None
+        mul_23 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_113
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_113
+        ) = None
+        x_114 = (
+            mul_23
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_23 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_116 = torch.nn.functional.batch_norm(
+            x_115,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_115 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_117 = torch.conv2d(
+            x_116,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_116 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_118 = torch.nn.functional.batch_norm(
+            x_117,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_117 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_119 = torch.nn.functional.relu(x_118, inplace=False)
+        x_118 = None
+        mul_24 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_119
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_119
+        ) = None
+        x_120 = (
+            mul_24
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_24 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_121 = torch.conv2d(
+            x_120,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_122 = torch.nn.functional.batch_norm(
+            x_121,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_121 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_122 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_125 = torch.nn.functional.relu(x_124, inplace=False)
+        x_124 = None
+        mul_25 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_125
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_125
+        ) = None
+        x_126 = (
+            mul_25
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_25 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_127 = torch.conv2d(
+            x_126,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_128 = torch.nn.functional.batch_norm(
+            x_127,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_127 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_128 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_130 = torch.nn.functional.batch_norm(
+            x_129,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_129 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_131 = torch.nn.functional.relu(x_130, inplace=False)
+        x_130 = None
+        mul_26 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+            * x_131
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = (
+            x_131
+        ) = None
+        x_132 = (
+            mul_26
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_26 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_133 = torch.cat([x_108, x_114, x_120, x_126, x_132], dim=1)
+        x_114 = x_120 = x_126 = x_132 = None
+        x_134 = torch.conv2d(
+            x_133,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_133 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_135 = torch.nn.functional.batch_norm(
+            x_134,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_134 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_136 = torch.nn.functional.relu(x_135, inplace=False)
+        x_135 = None
+        mul_27 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_136
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_136
+        ) = None
+        x_137 = (
+            mul_27
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_27 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_138 = torch.conv2d(
+            x_137,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_137 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_139 = torch.nn.functional.batch_norm(
+            x_138,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_138 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_140 = torch.nn.functional.relu(x_139, inplace=False)
+        x_139 = None
+        mul_28 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_140
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_140
+        ) = None
+        x_141 = (
+            mul_28
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_28 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_142 = x_141 + x_108
+        x_141 = x_108 = None
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_143 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_145 = torch.conv2d(
+            x_144,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_144 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_146 = torch.nn.functional.batch_norm(
+            x_145,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_145 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_147 = torch.nn.functional.relu(x_146, inplace=False)
+        x_146 = None
+        mul_29 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_147
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_147
+        ) = None
+        x_148 = (
+            mul_29
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_29 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_151 = torch.conv2d(
+            x_150,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_150 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_152 = torch.nn.functional.batch_norm(
+            x_151,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_151 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_153 = torch.nn.functional.relu(x_152, inplace=False)
+        x_152 = None
+        mul_30 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_153
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_153
+        ) = None
+        x_154 = (
+            mul_30
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_30 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_155 = torch.conv2d(
+            x_154,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_156 = torch.nn.functional.batch_norm(
+            x_155,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_155 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_157 = torch.conv2d(
+            x_156,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_156 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_158 = torch.nn.functional.batch_norm(
+            x_157,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_157 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_159 = torch.nn.functional.relu(x_158, inplace=False)
+        x_158 = None
+        mul_31 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_159
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_159
+        ) = None
+        x_160 = (
+            mul_31
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_31 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_161 = torch.conv2d(
+            x_160,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_162 = torch.nn.functional.batch_norm(
+            x_161,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_161 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_162 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_165 = torch.nn.functional.relu(x_164, inplace=False)
+        x_164 = None
+        mul_32 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+            * x_165
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = (
+            x_165
+        ) = None
+        x_166 = (
+            mul_32
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_32 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_167 = torch.cat([x_142, x_148, x_154, x_160, x_166], dim=1)
+        x_148 = x_154 = x_160 = x_166 = None
+        x_168 = torch.conv2d(
+            x_167,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_167 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_169 = torch.nn.functional.batch_norm(
+            x_168,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_168 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_170 = torch.nn.functional.relu(x_169, inplace=False)
+        x_169 = None
+        mul_33 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_170
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_170
+        ) = None
+        x_171 = (
+            mul_33
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_33 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_172 = torch.conv2d(
+            x_171,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_171 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_173 = torch.nn.functional.batch_norm(
+            x_172,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_172 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_174 = torch.nn.functional.relu(x_173, inplace=False)
+        x_173 = None
+        mul_34 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_174
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_174
+        ) = None
+        x_175 = (
+            mul_34
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_34 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_176 = x_175 + x_142
+        x_175 = x_142 = None
+        x_177 = torch.conv2d(
+            x_176,
+            l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            768,
+        )
+        x_176 = l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_178 = torch.nn.functional.batch_norm(
+            x_177,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_177 = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_179 = torch.conv2d(
+            x_178,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_180 = torch.nn.functional.batch_norm(
+            x_179,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_179 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_181 = torch.conv2d(
+            x_180,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        x_180 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_182 = torch.nn.functional.batch_norm(
+            x_181,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_181 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_183 = torch.nn.functional.relu(x_182, inplace=False)
+        x_182 = None
+        mul_35 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_183
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_183
+        ) = None
+        x_184 = (
+            mul_35
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_35 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_185 = torch.conv2d(
+            x_184,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_186 = torch.nn.functional.batch_norm(
+            x_185,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_185 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_187 = torch.conv2d(
+            x_186,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        x_186 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_188 = torch.nn.functional.batch_norm(
+            x_187,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_187 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_189 = torch.nn.functional.relu(x_188, inplace=False)
+        x_188 = None
+        mul_36 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_189
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_189
+        ) = None
+        x_190 = (
+            mul_36
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_36 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_191 = torch.conv2d(
+            x_190,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_192 = torch.nn.functional.batch_norm(
+            x_191,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_191 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_193 = torch.conv2d(
+            x_192,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        x_192 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_194 = torch.nn.functional.batch_norm(
+            x_193,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_193 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_195 = torch.nn.functional.relu(x_194, inplace=False)
+        x_194 = None
+        mul_37 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_195
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_195
+        ) = None
+        x_196 = (
+            mul_37
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_37 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_197 = torch.conv2d(
+            x_196,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_198 = torch.nn.functional.batch_norm(
+            x_197,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_197 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_199 = torch.conv2d(
+            x_198,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        x_198 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_200 = torch.nn.functional.batch_norm(
+            x_199,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_199 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_201 = torch.nn.functional.relu(x_200, inplace=False)
+        x_200 = None
+        mul_38 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+            * x_201
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = (
+            x_201
+        ) = None
+        x_202 = (
+            mul_38
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_38 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_203 = torch.cat([x_178, x_184, x_190, x_196, x_202], dim=1)
+        x_178 = x_184 = x_190 = x_196 = x_202 = None
+        x_204 = torch.conv2d(
+            x_203,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_203 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_205 = torch.nn.functional.batch_norm(
+            x_204,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_204 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_206 = torch.nn.functional.relu(x_205, inplace=False)
+        x_205 = None
+        mul_39 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_206
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_206
+        ) = None
+        x_207 = (
+            mul_39
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_39 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_208 = torch.conv2d(
+            x_207,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_207 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_209 = torch.nn.functional.batch_norm(
+            x_208,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_208 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_210 = torch.nn.functional.relu(x_209, inplace=False)
+        x_209 = None
+        mul_40 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_210
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_210
+        ) = None
+        x_211 = (
+            mul_40
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_40 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_212 = torch.nn.functional.adaptive_avg_pool2d(x_211, 1)
+        x_211 = None
+        input_1 = torch.conv2d(
+            x_212,
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_212 = (
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        ) = None
+        input_2 = torch.nn.functional.relu(input_1, inplace=False)
+        input_1 = None
+        mul_41 = (
+            l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ * input_2
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ = (
+            input_2
+        ) = None
+        input_3 = (
+            mul_41 + l_self_modules_head_modules_last_conv_modules_2_parameters_bias_
+        )
+        mul_41 = l_self_modules_head_modules_last_conv_modules_2_parameters_bias_ = None
+        x_213 = torch.nn.functional.dropout(input_3, 0.0, False, False)
+        input_3 = None
+        x_214 = x_213.flatten(1, -1)
+        x_213 = None
+        x_215 = torch._C._nn.linear(
+            x_214,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_214 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_215,)
diff --git a/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/weight_meta.py b/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/weight_meta.py
new file mode 100644
index 000000000..65e65767d
--- /dev/null
+++ b/samples/timm/hgnetv2_b2.ssld_stage1_in22k_in1k/weight_meta.py
@@ -0,0 +1,3894 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_"
+    shape = [24, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.226
+    std = 1.286
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_"
+    shape = [12, 24, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.005
+    std = 0.204
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_"
+    shape = [24, 12, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.146
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_"
+    shape = [24, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_"
+    shape = [32, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.014
+    std = 0.245
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [48, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [96, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.146
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_"
+    shape = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 96, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [384, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_"
+    shape = [384, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [384, 896, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [384, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [384, 1280, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [768, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_"
+    shape = [768, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [768, 1792, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [1536, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [1536]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_head_modules_last_conv_modules_0_parameters_weight_"
+    shape = [2048, 1536, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_2_parameters_scale_:
+    name = "L_self_modules_head_modules_last_conv_modules_2_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_2_parameters_bias_:
+    name = "L_self_modules_head_modules_last_conv_modules_2_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
diff --git a/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/graph_hash.txt b/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/graph_hash.txt
new file mode 100644
index 000000000..f7719ae58
--- /dev/null
+++ b/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/graph_hash.txt
@@ -0,0 +1 @@
+2ef3435ebc329e0ecfd4fc93a76e709d6d6a2ed19963eec50835c37be01777d7
\ No newline at end of file
diff --git a/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/graph_net.json b/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/graph_net.json
new file mode 100644
index 000000000..1373fe3b5
--- /dev/null
+++ b/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/input_meta.py b/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/input_tensor_constraints.py b/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/model.py b/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/model.py
new file mode 100644
index 000000000..447ebaaa9
--- /dev/null
+++ b/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/model.py
@@ -0,0 +1,3231 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
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+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_2_parameters_scale_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_last_conv_modules_2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ = (
+            L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_
+        )
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_ = (
+            L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        l_self_modules_head_modules_last_conv_modules_0_parameters_weight_ = (
+            L_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ = (
+            L_self_modules_head_modules_last_conv_modules_2_parameters_scale_
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_bias_ = (
+            L_self_modules_head_modules_last_conv_modules_2_parameters_bias_
+        )
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_stem1_modules_conv_parameters_weight_ = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x = (
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem1_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem1_modules_bn_parameters_bias_ = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=False)
+        x_1 = None
+        mul = l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ * x_2
+        l_self_modules_stem_modules_stem1_modules_lab_parameters_scale_ = x_2 = None
+        x_3 = mul + l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_
+        mul = l_self_modules_stem_modules_stem1_modules_lab_parameters_bias_ = None
+        x_4 = torch._C._nn.pad(x_3, (0, 1, 0, 1), "constant", None)
+        x_3 = None
+        x_5 = torch.conv2d(
+            x_4,
+            l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_ = None
+        x_6 = torch.nn.functional.batch_norm(
+            x_5,
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_5 = (
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_ = None
+        x_7 = torch.nn.functional.relu(x_6, inplace=False)
+        x_6 = None
+        mul_1 = l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ * x_7
+        l_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_ = x_7 = None
+        x_8 = mul_1 + l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_
+        mul_1 = l_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_ = None
+        x2 = torch._C._nn.pad(x_8, (0, 1, 0, 1), "constant", None)
+        x_8 = None
+        x_9 = torch.conv2d(
+            x2,
+            l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x2 = l_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_ = None
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_9 = (
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_ = None
+        x_11 = torch.nn.functional.relu(x_10, inplace=False)
+        x_10 = None
+        mul_2 = l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ * x_11
+        l_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_ = x_11 = None
+        x_12 = mul_2 + l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_
+        mul_2 = l_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_ = None
+        x1 = torch.nn.functional.max_pool2d(
+            x_4, 2, 1, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_4 = None
+        x_13 = torch.cat([x1, x_12], dim=1)
+        x1 = x_12 = None
+        x_14 = torch.conv2d(
+            x_13,
+            l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_13 = l_self_modules_stem_modules_stem3_modules_conv_parameters_weight_ = None
+        x_15 = torch.nn.functional.batch_norm(
+            x_14,
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_14 = (
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem3_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem3_modules_bn_parameters_bias_ = None
+        x_16 = torch.nn.functional.relu(x_15, inplace=False)
+        x_15 = None
+        mul_3 = l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ * x_16
+        l_self_modules_stem_modules_stem3_modules_lab_parameters_scale_ = x_16 = None
+        x_17 = mul_3 + l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_
+        mul_3 = l_self_modules_stem_modules_stem3_modules_lab_parameters_bias_ = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_17 = l_self_modules_stem_modules_stem4_modules_conv_parameters_weight_ = None
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_18 = (
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_stem4_modules_bn_parameters_weight_
+        ) = l_self_modules_stem_modules_stem4_modules_bn_parameters_bias_ = None
+        x_20 = torch.nn.functional.relu(x_19, inplace=False)
+        x_19 = None
+        mul_4 = l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ * x_20
+        l_self_modules_stem_modules_stem4_modules_lab_parameters_scale_ = x_20 = None
+        x_21 = mul_4 + l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_
+        mul_4 = l_self_modules_stem_modules_stem4_modules_lab_parameters_bias_ = None
+        x_22 = torch.conv2d(
+            x_21,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_23 = torch.nn.functional.batch_norm(
+            x_22,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_22 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_24 = torch.nn.functional.relu(x_23, inplace=False)
+        x_23 = None
+        mul_5 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+            * x_24
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = (
+            x_24
+        ) = None
+        x_25 = (
+            mul_5
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        )
+        mul_5 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = (None)
+        x_26 = torch.conv2d(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_27 = torch.nn.functional.batch_norm(
+            x_26,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_26 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_28 = torch.nn.functional.relu(x_27, inplace=False)
+        x_27 = None
+        mul_6 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+            * x_28
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = (
+            x_28
+        ) = None
+        x_29 = (
+            mul_6
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        )
+        mul_6 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = (None)
+        x_30 = torch.conv2d(
+            x_29,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_31 = torch.nn.functional.batch_norm(
+            x_30,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_30 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_32 = torch.nn.functional.relu(x_31, inplace=False)
+        x_31 = None
+        mul_7 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+            * x_32
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = (
+            x_32
+        ) = None
+        x_33 = (
+            mul_7
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        )
+        mul_7 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = (None)
+        x_34 = torch.conv2d(
+            x_33,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_35 = torch.nn.functional.batch_norm(
+            x_34,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_34 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_36 = torch.nn.functional.relu(x_35, inplace=False)
+        x_35 = None
+        mul_8 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_
+            * x_36
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_ = (
+            x_36
+        ) = None
+        x_37 = (
+            mul_8
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_
+        )
+        mul_8 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_ = (None)
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_38 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_40 = torch.nn.functional.relu(x_39, inplace=False)
+        x_39 = None
+        mul_9 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_
+            * x_40
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_ = (
+            x_40
+        ) = None
+        x_41 = (
+            mul_9
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_
+        )
+        mul_9 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_ = (None)
+        x_42 = torch.cat([x_21, x_25, x_29, x_33, x_37, x_41], dim=1)
+        x_21 = x_25 = x_29 = x_33 = x_37 = x_41 = None
+        x_43 = torch.conv2d(
+            x_42,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_42 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_44 = torch.nn.functional.batch_norm(
+            x_43,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_43 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_45 = torch.nn.functional.relu(x_44, inplace=False)
+        x_44 = None
+        mul_10 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_45
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_45
+        ) = None
+        x_46 = (
+            mul_10
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_10 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_47 = torch.conv2d(
+            x_46,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_46 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_48 = torch.nn.functional.batch_norm(
+            x_47,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_47 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_49 = torch.nn.functional.relu(x_48, inplace=False)
+        x_48 = None
+        mul_11 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_49
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_49
+        ) = None
+        x_50 = (
+            mul_11
+            + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_11 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_51 = torch.conv2d(
+            x_50,
+            l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            128,
+        )
+        x_50 = l_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_52 = torch.nn.functional.batch_norm(
+            x_51,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_51 = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_53 = torch.conv2d(
+            x_52,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_54 = torch.nn.functional.batch_norm(
+            x_53,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_53 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_ = (None)
+        x_55 = torch.nn.functional.relu(x_54, inplace=False)
+        x_54 = None
+        mul_12 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_
+            * x_55
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_ = (
+            x_55
+        ) = None
+        x_56 = (
+            mul_12
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_
+        )
+        mul_12 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_ = (None)
+        x_57 = torch.conv2d(
+            x_56,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_58 = torch.nn.functional.batch_norm(
+            x_57,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_57 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_ = (None)
+        x_59 = torch.nn.functional.relu(x_58, inplace=False)
+        x_58 = None
+        mul_13 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_
+            * x_59
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_ = (
+            x_59
+        ) = None
+        x_60 = (
+            mul_13
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_
+        )
+        mul_13 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_ = (None)
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_61 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_ = (None)
+        x_63 = torch.nn.functional.relu(x_62, inplace=False)
+        x_62 = None
+        mul_14 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_
+            * x_63
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_ = (
+            x_63
+        ) = None
+        x_64 = (
+            mul_14
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_
+        )
+        mul_14 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_ = (None)
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_65 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_ = (None)
+        x_67 = torch.nn.functional.relu(x_66, inplace=False)
+        x_66 = None
+        mul_15 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_
+            * x_67
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_ = (
+            x_67
+        ) = None
+        x_68 = (
+            mul_15
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_
+        )
+        mul_15 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_ = (None)
+        x_69 = torch.conv2d(
+            x_68,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_70 = torch.nn.functional.batch_norm(
+            x_69,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_69 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_ = (None)
+        x_71 = torch.nn.functional.relu(x_70, inplace=False)
+        x_70 = None
+        mul_16 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_
+            * x_71
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_ = (
+            x_71
+        ) = None
+        x_72 = (
+            mul_16
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_
+        )
+        mul_16 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_ = (None)
+        x_73 = torch.cat([x_52, x_56, x_60, x_64, x_68, x_72], dim=1)
+        x_52 = x_56 = x_60 = x_64 = x_68 = x_72 = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_73 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_74 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_76 = torch.nn.functional.relu(x_75, inplace=False)
+        x_75 = None
+        mul_17 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_76
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_76
+        ) = None
+        x_77 = (
+            mul_17
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_17 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_78 = torch.conv2d(
+            x_77,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_77 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_79 = torch.nn.functional.batch_norm(
+            x_78,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_78 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_80 = torch.nn.functional.relu(x_79, inplace=False)
+        x_79 = None
+        mul_18 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_80
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_80
+        ) = None
+        x_81 = (
+            mul_18
+            + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_18 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_82 = torch.conv2d(
+            x_81,
+            l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            512,
+        )
+        x_81 = l_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_83 = torch.nn.functional.batch_norm(
+            x_82,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_82 = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_84 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_86 = torch.conv2d(
+            x_85,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_85 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_87 = torch.nn.functional.batch_norm(
+            x_86,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_86 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_88 = torch.nn.functional.relu(x_87, inplace=False)
+        x_87 = None
+        mul_19 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_88
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_88
+        ) = None
+        x_89 = (
+            mul_19
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_19 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_90 = torch.conv2d(
+            x_89,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_91 = torch.nn.functional.batch_norm(
+            x_90,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_90 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_92 = torch.conv2d(
+            x_91,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_91 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_93 = torch.nn.functional.batch_norm(
+            x_92,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_92 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_94 = torch.nn.functional.relu(x_93, inplace=False)
+        x_93 = None
+        mul_20 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_94
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_94
+        ) = None
+        x_95 = (
+            mul_20
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_20 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_96 = torch.conv2d(
+            x_95,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_97 = torch.nn.functional.batch_norm(
+            x_96,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_96 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_98 = torch.conv2d(
+            x_97,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_97 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_99 = torch.nn.functional.batch_norm(
+            x_98,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_98 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_100 = torch.nn.functional.relu(x_99, inplace=False)
+        x_99 = None
+        mul_21 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_100
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_100
+        ) = None
+        x_101 = (
+            mul_21
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_21 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_102 = torch.conv2d(
+            x_101,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_103 = torch.nn.functional.batch_norm(
+            x_102,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_102 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_103 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_104 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_106 = torch.nn.functional.relu(x_105, inplace=False)
+        x_105 = None
+        mul_22 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+            * x_106
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = (
+            x_106
+        ) = None
+        x_107 = (
+            mul_22
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_22 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_108 = torch.conv2d(
+            x_107,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_109 = torch.nn.functional.batch_norm(
+            x_108,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_108 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_109 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_110 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_112 = torch.nn.functional.relu(x_111, inplace=False)
+        x_111 = None
+        mul_23 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_
+            * x_112
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_ = (
+            x_112
+        ) = None
+        x_113 = (
+            mul_23
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_23 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_114 = torch.cat([x_83, x_89, x_95, x_101, x_107, x_113], dim=1)
+        x_83 = x_89 = x_95 = x_101 = x_107 = x_113 = None
+        x_115 = torch.conv2d(
+            x_114,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_114 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_116 = torch.nn.functional.batch_norm(
+            x_115,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_115 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_117 = torch.nn.functional.relu(x_116, inplace=False)
+        x_116 = None
+        mul_24 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_117
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_117
+        ) = None
+        x_118 = (
+            mul_24
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_24 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_118 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_119 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_121 = torch.nn.functional.relu(x_120, inplace=False)
+        x_120 = None
+        mul_25 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_121
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_121
+        ) = None
+        x_122 = (
+            mul_25
+            + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_25 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_123 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_125 = torch.conv2d(
+            x_124,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_124 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_126 = torch.nn.functional.batch_norm(
+            x_125,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_125 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_127 = torch.nn.functional.relu(x_126, inplace=False)
+        x_126 = None
+        mul_26 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_127
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_127
+        ) = None
+        x_128 = (
+            mul_26
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_26 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_129 = torch.conv2d(
+            x_128,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_130 = torch.nn.functional.batch_norm(
+            x_129,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_129 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_131 = torch.conv2d(
+            x_130,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_130 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_132 = torch.nn.functional.batch_norm(
+            x_131,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_131 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_133 = torch.nn.functional.relu(x_132, inplace=False)
+        x_132 = None
+        mul_27 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_133
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_133
+        ) = None
+        x_134 = (
+            mul_27
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_27 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_135 = torch.conv2d(
+            x_134,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_136 = torch.nn.functional.batch_norm(
+            x_135,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_135 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_137 = torch.conv2d(
+            x_136,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_136 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_138 = torch.nn.functional.batch_norm(
+            x_137,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_137 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_139 = torch.nn.functional.relu(x_138, inplace=False)
+        x_138 = None
+        mul_28 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_139
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_139
+        ) = None
+        x_140 = (
+            mul_28
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_28 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_141 = torch.conv2d(
+            x_140,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_142 = torch.nn.functional.batch_norm(
+            x_141,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_141 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_143 = torch.conv2d(
+            x_142,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_142 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_144 = torch.nn.functional.batch_norm(
+            x_143,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_143 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_145 = torch.nn.functional.relu(x_144, inplace=False)
+        x_144 = None
+        mul_29 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+            * x_145
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = (
+            x_145
+        ) = None
+        x_146 = (
+            mul_29
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_29 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_147 = torch.conv2d(
+            x_146,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_148 = torch.nn.functional.batch_norm(
+            x_147,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_147 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_149 = torch.conv2d(
+            x_148,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_148 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_150 = torch.nn.functional.batch_norm(
+            x_149,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_149 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_151 = torch.nn.functional.relu(x_150, inplace=False)
+        x_150 = None
+        mul_30 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_
+            * x_151
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_ = (
+            x_151
+        ) = None
+        x_152 = (
+            mul_30
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_30 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_153 = torch.cat([x_122, x_128, x_134, x_140, x_146, x_152], dim=1)
+        x_128 = x_134 = x_140 = x_146 = x_152 = None
+        x_154 = torch.conv2d(
+            x_153,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_153 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_155 = torch.nn.functional.batch_norm(
+            x_154,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_154 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_156 = torch.nn.functional.relu(x_155, inplace=False)
+        x_155 = None
+        mul_31 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_156
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_156
+        ) = None
+        x_157 = (
+            mul_31
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_31 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_158 = torch.conv2d(
+            x_157,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_157 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_159 = torch.nn.functional.batch_norm(
+            x_158,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_158 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_160 = torch.nn.functional.relu(x_159, inplace=False)
+        x_159 = None
+        mul_32 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_160
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_160
+        ) = None
+        x_161 = (
+            mul_32
+            + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_32 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_162 = x_161 + x_122
+        x_161 = x_122 = None
+        x_163 = torch.conv2d(
+            x_162,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_164 = torch.nn.functional.batch_norm(
+            x_163,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_163 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_165 = torch.conv2d(
+            x_164,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_164 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_166 = torch.nn.functional.batch_norm(
+            x_165,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_165 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_167 = torch.nn.functional.relu(x_166, inplace=False)
+        x_166 = None
+        mul_33 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_167
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_167
+        ) = None
+        x_168 = (
+            mul_33
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_33 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_169 = torch.conv2d(
+            x_168,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_170 = torch.nn.functional.batch_norm(
+            x_169,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_169 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_171 = torch.conv2d(
+            x_170,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_170 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_172 = torch.nn.functional.batch_norm(
+            x_171,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_171 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_173 = torch.nn.functional.relu(x_172, inplace=False)
+        x_172 = None
+        mul_34 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_173
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_173
+        ) = None
+        x_174 = (
+            mul_34
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_34 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_175 = torch.conv2d(
+            x_174,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_176 = torch.nn.functional.batch_norm(
+            x_175,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_175 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_177 = torch.conv2d(
+            x_176,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_176 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_178 = torch.nn.functional.batch_norm(
+            x_177,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_177 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_179 = torch.nn.functional.relu(x_178, inplace=False)
+        x_178 = None
+        mul_35 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_179
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_179
+        ) = None
+        x_180 = (
+            mul_35
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_35 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_181 = torch.conv2d(
+            x_180,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_182 = torch.nn.functional.batch_norm(
+            x_181,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_181 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_183 = torch.conv2d(
+            x_182,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_182 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_184 = torch.nn.functional.batch_norm(
+            x_183,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_183 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_185 = torch.nn.functional.relu(x_184, inplace=False)
+        x_184 = None
+        mul_36 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+            * x_185
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = (
+            x_185
+        ) = None
+        x_186 = (
+            mul_36
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_36 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_187 = torch.conv2d(
+            x_186,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_188 = torch.nn.functional.batch_norm(
+            x_187,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_187 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_189 = torch.conv2d(
+            x_188,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            128,
+        )
+        x_188 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_190 = torch.nn.functional.batch_norm(
+            x_189,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_189 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_191 = torch.nn.functional.relu(x_190, inplace=False)
+        x_190 = None
+        mul_37 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_
+            * x_191
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_ = (
+            x_191
+        ) = None
+        x_192 = (
+            mul_37
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_37 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_193 = torch.cat([x_162, x_168, x_174, x_180, x_186, x_192], dim=1)
+        x_168 = x_174 = x_180 = x_186 = x_192 = None
+        x_194 = torch.conv2d(
+            x_193,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_193 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_195 = torch.nn.functional.batch_norm(
+            x_194,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_194 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_196 = torch.nn.functional.relu(x_195, inplace=False)
+        x_195 = None
+        mul_38 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_196
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_196
+        ) = None
+        x_197 = (
+            mul_38
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_38 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_198 = torch.conv2d(
+            x_197,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_197 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_199 = torch.nn.functional.batch_norm(
+            x_198,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_198 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_200 = torch.nn.functional.relu(x_199, inplace=False)
+        x_199 = None
+        mul_39 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_200
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_200
+        ) = None
+        x_201 = (
+            mul_39
+            + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_39 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_202 = x_201 + x_162
+        x_201 = x_162 = None
+        x_203 = torch.conv2d(
+            x_202,
+            l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1024,
+        )
+        x_202 = l_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_ = (None)
+        x_204 = torch.nn.functional.batch_norm(
+            x_203,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_203 = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_ = (None)
+        x_205 = torch.conv2d(
+            x_204,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_206 = torch.nn.functional.batch_norm(
+            x_205,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_205 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_207 = torch.conv2d(
+            x_206,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        x_206 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_208 = torch.nn.functional.batch_norm(
+            x_207,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_207 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_209 = torch.nn.functional.relu(x_208, inplace=False)
+        x_208 = None
+        mul_40 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_
+            * x_209
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_ = (
+            x_209
+        ) = None
+        x_210 = (
+            mul_40
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_40 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_211 = torch.conv2d(
+            x_210,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_212 = torch.nn.functional.batch_norm(
+            x_211,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_211 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_213 = torch.conv2d(
+            x_212,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        x_212 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_214 = torch.nn.functional.batch_norm(
+            x_213,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_213 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_215 = torch.nn.functional.relu(x_214, inplace=False)
+        x_214 = None
+        mul_41 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_
+            * x_215
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_ = (
+            x_215
+        ) = None
+        x_216 = (
+            mul_41
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_41 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_217 = torch.conv2d(
+            x_216,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_218 = torch.nn.functional.batch_norm(
+            x_217,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_217 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_219 = torch.conv2d(
+            x_218,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        x_218 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_220 = torch.nn.functional.batch_norm(
+            x_219,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_219 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_221 = torch.nn.functional.relu(x_220, inplace=False)
+        x_220 = None
+        mul_42 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_
+            * x_221
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_ = (
+            x_221
+        ) = None
+        x_222 = (
+            mul_42
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_42 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_223 = torch.conv2d(
+            x_222,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_224 = torch.nn.functional.batch_norm(
+            x_223,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_223 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_225 = torch.conv2d(
+            x_224,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        x_224 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_226 = torch.nn.functional.batch_norm(
+            x_225,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_225 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_227 = torch.nn.functional.relu(x_226, inplace=False)
+        x_226 = None
+        mul_43 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_
+            * x_227
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_ = (
+            x_227
+        ) = None
+        x_228 = (
+            mul_43
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_43 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_229 = torch.conv2d(
+            x_228,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_ = (
+            None
+        )
+        x_230 = torch.nn.functional.batch_norm(
+            x_229,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_229 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_ = (None)
+        x_231 = torch.conv2d(
+            x_230,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            256,
+        )
+        x_230 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_ = (None)
+        x_232 = torch.nn.functional.batch_norm(
+            x_231,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_231 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_ = (None)
+        x_233 = torch.nn.functional.relu(x_232, inplace=False)
+        x_232 = None
+        mul_44 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_
+            * x_233
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_ = (
+            x_233
+        ) = None
+        x_234 = (
+            mul_44
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_
+        )
+        mul_44 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_ = (None)
+        x_235 = torch.cat([x_204, x_210, x_216, x_222, x_228, x_234], dim=1)
+        x_204 = x_210 = x_216 = x_222 = x_228 = x_234 = None
+        x_236 = torch.conv2d(
+            x_235,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_235 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_ = (None)
+        x_237 = torch.nn.functional.batch_norm(
+            x_236,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_236 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_ = (None)
+        x_238 = torch.nn.functional.relu(x_237, inplace=False)
+        x_237 = None
+        mul_45 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_
+            * x_238
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_ = (
+            x_238
+        ) = None
+        x_239 = (
+            mul_45
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_
+        )
+        mul_45 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_ = (None)
+        x_240 = torch.conv2d(
+            x_239,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_239 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_ = (None)
+        x_241 = torch.nn.functional.batch_norm(
+            x_240,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_,
+            False,
+            0.1,
+            1e-05,
+        )
+        x_240 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_ = (None)
+        x_242 = torch.nn.functional.relu(x_241, inplace=False)
+        x_241 = None
+        mul_46 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_
+            * x_242
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_ = (
+            x_242
+        ) = None
+        x_243 = (
+            mul_46
+            + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_
+        )
+        mul_46 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_ = (None)
+        x_244 = torch.nn.functional.adaptive_avg_pool2d(x_243, 1)
+        x_243 = None
+        input_1 = torch.conv2d(
+            x_244,
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_244 = (
+            l_self_modules_head_modules_last_conv_modules_0_parameters_weight_
+        ) = None
+        input_2 = torch.nn.functional.relu(input_1, inplace=False)
+        input_1 = None
+        mul_47 = (
+            l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ * input_2
+        )
+        l_self_modules_head_modules_last_conv_modules_2_parameters_scale_ = (
+            input_2
+        ) = None
+        input_3 = (
+            mul_47 + l_self_modules_head_modules_last_conv_modules_2_parameters_bias_
+        )
+        mul_47 = l_self_modules_head_modules_last_conv_modules_2_parameters_bias_ = None
+        x_245 = torch.nn.functional.dropout(input_3, 0.0, False, False)
+        input_3 = None
+        x_246 = x_245.flatten(1, -1)
+        x_245 = None
+        x_247 = torch._C._nn.linear(
+            x_246,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_246 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_247,)
diff --git a/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/weight_meta.py b/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/weight_meta.py
new file mode 100644
index 000000000..b9ff20b9f
--- /dev/null
+++ b/samples/timm/hgnetv2_b3.ssld_stage1_in22k_in1k/weight_meta.py
@@ -0,0 +1,4514 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem1_modules_conv_parameters_weight_"
+    shape = [24, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.221
+    std = 1.285
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem1_modules_bn_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2a_modules_conv_parameters_weight_"
+    shape = [12, 24, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.004
+    std = 0.208
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_mean_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_buffers_running_var_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_parameters_weight_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2a_modules_bn_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem2a_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2a_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2b_modules_conv_parameters_weight_"
+    shape = [24, 12, 2, 2]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2b_modules_bn_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem2b_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem2b_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem3_modules_conv_parameters_weight_"
+    shape = [24, 48, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_buffers_running_mean_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_buffers_running_var_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_parameters_weight_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem3_modules_bn_parameters_bias_"
+    shape = [24]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem3_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem3_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem4_modules_conv_parameters_weight_"
+    shape = [32, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.013
+    std = 0.236
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem4_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_:
+    name = "L_self_modules_stem_modules_stem4_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_:
+    name = "L_self_modules_stem_modules_stem4_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [32, 32, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.176
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [128, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_conv_parameters_weight_"
+    shape = [128, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_1_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_3_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layers_modules_4_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [256, 448, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [512, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_conv_parameters_weight_"
+    shape = [512, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_2_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.002
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.001
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.001
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 1152, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.123
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 1664, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.002
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_"
+    shape = [128, 128, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_"
+    shape = [128, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [512, 1664, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [1024, 512, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_conv_parameters_weight_"
+    shape = [1024, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_:
+    name = (
+        "L_self_modules_stages_modules_3_modules_downsample_modules_bn_parameters_bias_"
+    )
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_conv_parameters_weight_"
+    shape = [256, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_conv_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_0_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_conv_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_1_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_conv_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_2_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_conv_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_3_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_conv_parameters_weight_"
+    shape = [256, 256, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv1_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_conv_parameters_weight_"
+    shape = [256, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layers_modules_4_modules_conv2_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_conv_parameters_weight_"
+    shape = [1024, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_0_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_conv_parameters_weight_"
+    shape = [2048, 1024, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_mean_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_buffers_running_var_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_weight_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_bn_parameters_bias_"
+    shape = [2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_aggregation_modules_1_modules_lab_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_0_parameters_weight_:
+    name = "L_self_modules_head_modules_last_conv_modules_0_parameters_weight_"
+    shape = [2048, 2048, 1, 1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_2_parameters_scale_:
+    name = "L_self_modules_head_modules_last_conv_modules_2_parameters_scale_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 1.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_last_conv_modules_2_parameters_bias_:
+    name = "L_self_modules_head_modules_last_conv_modules_2_parameters_bias_"
+    shape = [1]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = float("nan")
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 2048]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cuda:0"
+    mean = 0.000
+    std = 0.000
+    data = None